From 8234f325d825d02d42c99b09491a59f475be3eb1 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 15:20:52 +0000
Subject: [PATCH 01/38] Keep origin workflows; sync main from m_M

---
 .github/workflows/cd.yml      | 12 +-----------
 .github/workflows/ci.yml      |  1 -
 .github/workflows/quality.yml | 19 +++++++++++--------
 3 files changed, 12 insertions(+), 20 deletions(-)

diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index a4389b0d3..a2d45ad1c 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -2,12 +2,6 @@ name: "Run CD"
 
 on:
   workflow_dispatch:
-    inputs:
-        force_release:
-            description: 'Force release even if previous checks fail.'
-            type: boolean
-            required: false
-            default: false
 
 env:
   UV_FROZEN: "1"
@@ -42,11 +36,7 @@ jobs:
         run: uv run --no-sync semantic-release changelog --unreleased
   release:
     needs: [code-checks, pre-release-check]
-    # Run this job only if the `TARGET_TAG_V` is set AND (the previous jobs
-    # were successful OR we are forcing the release).
-    if: >-
-        ${{ needs.pre-release-check.outputs.TARGET_TAG_V != '' &&
-        ( success() || inputs.force_release ) }}
+    if: needs.pre-release-check.outputs.TARGET_TAG_V != ''
     environment: auto-release
     runs-on: ubuntu-latest
     concurrency: release
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 4fb08f319..825ebbd0f 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -3,7 +3,6 @@ name: "Run CI"
 on:
   pull_request:
     types: [opened, reopened, synchronize]
-  merge_group:
 
 jobs:
   code-checks:
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml
index ad82d084f..757772600 100644
--- a/.github/workflows/quality.yml
+++ b/.github/workflows/quality.yml
@@ -3,9 +3,10 @@ name: Verify Code Quality
 on:
   workflow_call:
 
+
 concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
-  cancel-in-progress: true
+    group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
+    cancel-in-progress: true
 
 env:
   CICD: 1
@@ -14,10 +15,10 @@ env:
 jobs:
   quality:
     runs-on: ubuntu-latest
-    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy.
+    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy. 
     strategy:
       matrix:
-        python-version: ["3.10", "3.11", "3.12"] # Need to add 3.13 once we resolve outlines issues.
+        python-version: ['3.10', '3.11', '3.12'] # Need to add 3.13 once we resolve outlines issues.
     steps:
       - uses: actions/checkout@v4
       - name: Free disk space
@@ -38,16 +39,18 @@ jobs:
       - name: Check style and run tests
         run: pre-commit run --all-files
       - name: Send failure message pre-commit
-        if: failure() # This step will only run if a previous step failed
+        if: failure()  # This step will only run if a previous step failed
         run: echo "The quality verification failed. Please run precommit "
       - name: Install Ollama
         run: curl -fsSL https://ollama.com/install.sh | sh
       - name: Start serving ollama
         run: nohup ollama serve &
-      - name: Pull model granite4:micro
-        run: ollama pull granite4:micro
+      - name: Pull Llama 3.2:1b model
+        run: ollama pull llama3.2:1b
+
       - name: Run Tests
         run: uv run -m pytest -v test
       - name: Send failure message tests
-        if: failure() # This step will only run if a previous step failed
+        if: failure()  # This step will only run if a previous step failed
         run: echo "Tests failed. Please verify that tests are working locally."
+      

From fd7404b1c0832cf283900db0499033cf4c1f275a Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 15:26:23 +0000
Subject: [PATCH 02/38] Keep origin workflows; sync main from m_M

---
 .github/workflows/cd.yml      | 12 +-----------
 .github/workflows/ci.yml      |  1 -
 .github/workflows/quality.yml | 19 +++++++++++--------
 3 files changed, 12 insertions(+), 20 deletions(-)

diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index a4389b0d3..a2d45ad1c 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -2,12 +2,6 @@ name: "Run CD"
 
 on:
   workflow_dispatch:
-    inputs:
-        force_release:
-            description: 'Force release even if previous checks fail.'
-            type: boolean
-            required: false
-            default: false
 
 env:
   UV_FROZEN: "1"
@@ -42,11 +36,7 @@ jobs:
         run: uv run --no-sync semantic-release changelog --unreleased
   release:
     needs: [code-checks, pre-release-check]
-    # Run this job only if the `TARGET_TAG_V` is set AND (the previous jobs
-    # were successful OR we are forcing the release).
-    if: >-
-        ${{ needs.pre-release-check.outputs.TARGET_TAG_V != '' &&
-        ( success() || inputs.force_release ) }}
+    if: needs.pre-release-check.outputs.TARGET_TAG_V != ''
     environment: auto-release
     runs-on: ubuntu-latest
     concurrency: release
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 4fb08f319..825ebbd0f 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -3,7 +3,6 @@ name: "Run CI"
 on:
   pull_request:
     types: [opened, reopened, synchronize]
-  merge_group:
 
 jobs:
   code-checks:
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml
index ad82d084f..757772600 100644
--- a/.github/workflows/quality.yml
+++ b/.github/workflows/quality.yml
@@ -3,9 +3,10 @@ name: Verify Code Quality
 on:
   workflow_call:
 
+
 concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
-  cancel-in-progress: true
+    group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
+    cancel-in-progress: true
 
 env:
   CICD: 1
@@ -14,10 +15,10 @@ env:
 jobs:
   quality:
     runs-on: ubuntu-latest
-    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy.
+    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy. 
     strategy:
       matrix:
-        python-version: ["3.10", "3.11", "3.12"] # Need to add 3.13 once we resolve outlines issues.
+        python-version: ['3.10', '3.11', '3.12'] # Need to add 3.13 once we resolve outlines issues.
     steps:
       - uses: actions/checkout@v4
       - name: Free disk space
@@ -38,16 +39,18 @@ jobs:
       - name: Check style and run tests
         run: pre-commit run --all-files
       - name: Send failure message pre-commit
-        if: failure() # This step will only run if a previous step failed
+        if: failure()  # This step will only run if a previous step failed
         run: echo "The quality verification failed. Please run precommit "
       - name: Install Ollama
         run: curl -fsSL https://ollama.com/install.sh | sh
       - name: Start serving ollama
         run: nohup ollama serve &
-      - name: Pull model granite4:micro
-        run: ollama pull granite4:micro
+      - name: Pull Llama 3.2:1b model
+        run: ollama pull llama3.2:1b
+
       - name: Run Tests
         run: uv run -m pytest -v test
       - name: Send failure message tests
-        if: failure() # This step will only run if a previous step failed
+        if: failure()  # This step will only run if a previous step failed
         run: echo "Tests failed. Please verify that tests are working locally."
+      

From ff6eedbc267df143aac5a89362e467f4e7a55100 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 15:32:15 +0000
Subject: [PATCH 03/38] Remove pr-update workflow to avoid workflow scope
 requirement

---
 .github/workflows/pr-update.yml | 73 ---------------------------------
 1 file changed, 73 deletions(-)
 delete mode 100644 .github/workflows/pr-update.yml

diff --git a/.github/workflows/pr-update.yml b/.github/workflows/pr-update.yml
deleted file mode 100644
index 33505a0f4..000000000
--- a/.github/workflows/pr-update.yml
+++ /dev/null
@@ -1,73 +0,0 @@
-name: PR Bot
-
-on:
-  pull_request_target:
-    types: [opened, edited]
-
-jobs:
-  update-pr-body:
-    runs-on: ubuntu-latest
-    if: ${{ !contains(github.event.pull_request.body, 'mellea-pr-edited-marker') }}
-    permissions:
-      pull-requests: write
-      contents: read
-    steps:
-      - name: Checkout code # Checks out the base branch, not PR branch.
-        uses: actions/checkout@v4
-
-      - name: Detect PR type from checkboxes
-        id: detect-type
-        env:
-          PR_BODY: ${{ github.event.pull_request.body }}
-        run: |
-          PR_TYPE=""
-
-          # Check for checked boxes (supports [x] and [X])
-          if echo "$PR_BODY" | grep -qi '\[x\] Component'; then
-            PR_TYPE="component"
-          elif echo "$PR_BODY" | grep -qi '\[x\] Requirement'; then
-            PR_TYPE="requirement"
-          elif echo "$PR_BODY" | grep -qi '\[x\] Sampling Strategy'; then
-            PR_TYPE="sampling"
-          elif echo "$PR_BODY" | grep -qi '\[x\] Tool'; then
-            PR_TYPE="tool"
-          elif echo "$PR_BODY" | grep -qi '\[x\] Misc'; then
-            PR_TYPE="misc"
-          fi
-
-          if [ -z "$PR_TYPE" ]; then
-            echo "::error::No PR type selected. Please check one of of the boxes from the original pr template."
-            exit 1
-          fi
-
-          echo "pr_type=$PR_TYPE" >> "$GITHUB_OUTPUT"
-          echo "Detected PR type: $PR_TYPE"
-
-      - name: Update PR body with checklist
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          PR_BODY: ${{ github.event.pull_request.body }}
-          PR_TYPE: ${{ steps.detect-type.outputs.pr_type }}
-        run: |
-          TEMPLATE_FILE=".github/PULL_REQUEST_TEMPLATE/${PR_TYPE}.md"
-
-          if [ -f "$TEMPLATE_FILE" ]; then
-            MARKER="<!-- mellea-pr-edited-marker: do not remove this marker -->"
-            TEMPLATE_CONTENT=$(cat "$TEMPLATE_FILE")
-
-            NEW_BODY="${MARKER}
-            ${TEMPLATE_CONTENT}"
-
-            gh pr edit ${{ github.event.pull_request.number }} --body "$NEW_BODY"
-            echo "Updated PR body with ${PR_TYPE} checklist"
-          else
-            echo "::error::Template file not found: $TEMPLATE_FILE"
-            echo "Something as gone wrong. Contact a maintainer."
-            exit 1
-          fi
-
-      - name: Comment on PR
-        uses: mshick/add-pr-comment@b8f338c590a895d50bcbfa6c5859251edc8952fc
-        with:
-          message: |
-            The PR description has been updated. Please fill out the template for your PR to be reviewed. 

From fdb9894c3ab656b1e1de4a82494e99e2fcdabe22 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 15:37:39 +0000
Subject: [PATCH 04/38] add: robust constraint_extractor parser

---
 .../_constraint_extractor.py                  | 33 +++++++++++--------
 1 file changed, 20 insertions(+), 13 deletions(-)

diff --git a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
index 43558cce4..a4c07b02f 100644
--- a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
+++ b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
@@ -53,20 +53,27 @@ def _default_parser(generated_str: str) -> list[str]:
                 'LLM failed to generate correct tags for extraction: "<constraints_and_requirements>"'
             )
 
-        # TODO: Maybe replace this logic with a RegEx?
-        constraint_extractor_str_upper = constraint_extractor_str.upper()
-        if (
-            "N/A" in constraint_extractor_str_upper
-            or "N / A" in constraint_extractor_str_upper
-            or "N/ A" in constraint_extractor_str_upper
-            or "N /A" in constraint_extractor_str_upper
-        ):
+        s = constraint_extractor_str.strip()
+        s_upper = s.upper()
+        if s_upper in {"N/A", "N / A", "N/ A", "N /A"}:
             return []
 
-        return [
-            line.strip()[2:] if line.strip()[:2] == "- " else line.strip()
-            for line in constraint_extractor_str.splitlines()
-        ]
+        results: list[str] = []
+
+        for line in s.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            # remove bullet / numbering
+            line = re.sub(r"^\s*(?:[-*•]|\d+[\.\)])\s+", "", line)
+
+            # split inline multi-constraints
+            parts = re.split(r"\s*(?:;|\s-\s|\s—\s|\s–\s)\s*", line)
+
+            results.extend(p.strip() for p in parts if p.strip())
+
+        return results
 
     def generate(  # type: ignore[override]
         # About the mypy ignore above:
@@ -133,4 +140,4 @@ def generate(  # type: ignore[override]
         return PromptModuleString(gen_result, parser)
 
 
-constraint_extractor = _ConstraintExtractor()
+constraint_extractor = _ConstraintExtractor()
\ No newline at end of file

From 39a2f923c5711e78ff15071dcd3667efc9e12649 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 16:07:10 +0000
Subject: [PATCH 05/38] upd: sync the workflows with the mellea main

---
 .github/workflows/cd.yml        | 14 ++++++-
 .github/workflows/ci.yml        |  3 +-
 .github/workflows/pr-update.yml | 73 +++++++++++++++++++++++++++++++++
 .github/workflows/quality.yml   | 21 ++++------
 4 files changed, 96 insertions(+), 15 deletions(-)
 create mode 100644 .github/workflows/pr-update.yml

diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index a2d45ad1c..5b1973f7f 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -2,6 +2,12 @@ name: "Run CD"
 
 on:
   workflow_dispatch:
+    inputs:
+        force_release:
+            description: 'Force release even if previous checks fail.'
+            type: boolean
+            required: false
+            default: false
 
 env:
   UV_FROZEN: "1"
@@ -36,7 +42,11 @@ jobs:
         run: uv run --no-sync semantic-release changelog --unreleased
   release:
     needs: [code-checks, pre-release-check]
-    if: needs.pre-release-check.outputs.TARGET_TAG_V != ''
+    # Run this job only if the `TARGET_TAG_V` is set AND (the previous jobs
+    # were successful OR we are forcing the release).
+    if: >-
+        ${{ needs.pre-release-check.outputs.TARGET_TAG_V != '' &&
+        ( success() || inputs.force_release ) }}
     environment: auto-release
     runs-on: ubuntu-latest
     concurrency: release
@@ -63,4 +73,4 @@ jobs:
           CHGLOG_FILE: CHANGELOG.md
           GITHUB_REPOSITORY: ${{ github.repository }}
         run: ./.github/scripts/release.sh
-        shell: bash
+        shell: bash
\ No newline at end of file
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 825ebbd0f..ad19aa03e 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -3,7 +3,8 @@ name: "Run CI"
 on:
   pull_request:
     types: [opened, reopened, synchronize]
+  merge_group:
 
 jobs:
   code-checks:
-    uses: ./.github/workflows/quality.yml
+    uses: ./.github/workflows/quality.yml
\ No newline at end of file
diff --git a/.github/workflows/pr-update.yml b/.github/workflows/pr-update.yml
new file mode 100644
index 000000000..f99964e24
--- /dev/null
+++ b/.github/workflows/pr-update.yml
@@ -0,0 +1,73 @@
+name: PR Bot
+
+on:
+  pull_request_target:
+    types: [opened, edited]
+
+jobs:
+  update-pr-body:
+    runs-on: ubuntu-latest
+    if: ${{ !contains(github.event.pull_request.body, 'mellea-pr-edited-marker') }}
+    permissions:
+      pull-requests: write
+      contents: read
+    steps:
+      - name: Checkout code # Checks out the base branch, not PR branch.
+        uses: actions/checkout@v4
+
+      - name: Detect PR type from checkboxes
+        id: detect-type
+        env:
+          PR_BODY: ${{ github.event.pull_request.body }}
+        run: |
+          PR_TYPE=""
+
+          # Check for checked boxes (supports [x] and [X])
+          if echo "$PR_BODY" | grep -qi '\[x\] Component'; then
+            PR_TYPE="component"
+          elif echo "$PR_BODY" | grep -qi '\[x\] Requirement'; then
+            PR_TYPE="requirement"
+          elif echo "$PR_BODY" | grep -qi '\[x\] Sampling Strategy'; then
+            PR_TYPE="sampling"
+          elif echo "$PR_BODY" | grep -qi '\[x\] Tool'; then
+            PR_TYPE="tool"
+          elif echo "$PR_BODY" | grep -qi '\[x\] Misc'; then
+            PR_TYPE="misc"
+          fi
+
+          if [ -z "$PR_TYPE" ]; then
+            echo "::error::No PR type selected. Please check one of of the boxes from the original pr template."
+            exit 1
+          fi
+
+          echo "pr_type=$PR_TYPE" >> "$GITHUB_OUTPUT"
+          echo "Detected PR type: $PR_TYPE"
+
+      - name: Update PR body with checklist
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          PR_BODY: ${{ github.event.pull_request.body }}
+          PR_TYPE: ${{ steps.detect-type.outputs.pr_type }}
+        run: |
+          TEMPLATE_FILE=".github/PULL_REQUEST_TEMPLATE/${PR_TYPE}.md"
+
+          if [ -f "$TEMPLATE_FILE" ]; then
+            MARKER="<!-- mellea-pr-edited-marker: do not remove this marker -->"
+            TEMPLATE_CONTENT=$(cat "$TEMPLATE_FILE")
+
+            NEW_BODY="${MARKER}
+            ${TEMPLATE_CONTENT}"
+
+            gh pr edit ${{ github.event.pull_request.number }} --body "$NEW_BODY"
+            echo "Updated PR body with ${PR_TYPE} checklist"
+          else
+            echo "::error::Template file not found: $TEMPLATE_FILE"
+            echo "Something as gone wrong. Contact a maintainer."
+            exit 1
+          fi
+
+      - name: Comment on PR
+        uses: mshick/add-pr-comment@b8f338c590a895d50bcbfa6c5859251edc8952fc
+        with:
+          message: |
+            The PR description has been updated. Please fill out the template for your PR to be reviewed. 
\ No newline at end of file
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml
index 757772600..4bb927b0a 100644
--- a/.github/workflows/quality.yml
+++ b/.github/workflows/quality.yml
@@ -3,10 +3,9 @@ name: Verify Code Quality
 on:
   workflow_call:
 
-
 concurrency:
-    group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
-    cancel-in-progress: true
+  group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
+  cancel-in-progress: true
 
 env:
   CICD: 1
@@ -15,10 +14,10 @@ env:
 jobs:
   quality:
     runs-on: ubuntu-latest
-    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy. 
+    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy.
     strategy:
       matrix:
-        python-version: ['3.10', '3.11', '3.12'] # Need to add 3.13 once we resolve outlines issues.
+        python-version: ["3.10", "3.11", "3.12"] # Need to add 3.13 once we resolve outlines issues.
     steps:
       - uses: actions/checkout@v4
       - name: Free disk space
@@ -39,18 +38,16 @@ jobs:
       - name: Check style and run tests
         run: pre-commit run --all-files
       - name: Send failure message pre-commit
-        if: failure()  # This step will only run if a previous step failed
+        if: failure() # This step will only run if a previous step failed
         run: echo "The quality verification failed. Please run precommit "
       - name: Install Ollama
         run: curl -fsSL https://ollama.com/install.sh | sh
       - name: Start serving ollama
         run: nohup ollama serve &
-      - name: Pull Llama 3.2:1b model
-        run: ollama pull llama3.2:1b
-
+      - name: Pull model granite4:micro
+        run: ollama pull granite4:micro
       - name: Run Tests
         run: uv run -m pytest -v test
       - name: Send failure message tests
-        if: failure()  # This step will only run if a previous step failed
-        run: echo "Tests failed. Please verify that tests are working locally."
-      
+        if: failure() # This step will only run if a previous step failed
+        run: echo "Tests failed. Please verify that tests are working locally."
\ No newline at end of file

From 72e547023b86787727a72945897c660193aa674c Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 20:16:57 +0000
Subject: [PATCH 06/38] upd: add the newlines in the workflows files

---
 .github/workflows/cd.yml        | 2 +-
 .github/workflows/ci.yml        | 2 +-
 .github/workflows/pr-update.yml | 2 +-
 .github/workflows/quality.yml   | 2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index 5b1973f7f..a4389b0d3 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -73,4 +73,4 @@ jobs:
           CHGLOG_FILE: CHANGELOG.md
           GITHUB_REPOSITORY: ${{ github.repository }}
         run: ./.github/scripts/release.sh
-        shell: bash
\ No newline at end of file
+        shell: bash
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index ad19aa03e..4fb08f319 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -7,4 +7,4 @@ on:
 
 jobs:
   code-checks:
-    uses: ./.github/workflows/quality.yml
\ No newline at end of file
+    uses: ./.github/workflows/quality.yml
diff --git a/.github/workflows/pr-update.yml b/.github/workflows/pr-update.yml
index f99964e24..33505a0f4 100644
--- a/.github/workflows/pr-update.yml
+++ b/.github/workflows/pr-update.yml
@@ -70,4 +70,4 @@ jobs:
         uses: mshick/add-pr-comment@b8f338c590a895d50bcbfa6c5859251edc8952fc
         with:
           message: |
-            The PR description has been updated. Please fill out the template for your PR to be reviewed. 
\ No newline at end of file
+            The PR description has been updated. Please fill out the template for your PR to be reviewed. 
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml
index 4bb927b0a..ad82d084f 100644
--- a/.github/workflows/quality.yml
+++ b/.github/workflows/quality.yml
@@ -50,4 +50,4 @@ jobs:
         run: uv run -m pytest -v test
       - name: Send failure message tests
         if: failure() # This step will only run if a previous step failed
-        run: echo "Tests failed. Please verify that tests are working locally."
\ No newline at end of file
+        run: echo "Tests failed. Please verify that tests are working locally."

From c6862403f63728f35d4cc2aa08e4ead07f95022e Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 10 Feb 2026 20:17:58 +0000
Subject: [PATCH 07/38] upd: normalizing whitespace and separators for the
 constraint NA situations

---
 .../constraint_extractor/_constraint_extractor.py             | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
index a4c07b02f..c86a569e3 100644
--- a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
+++ b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
@@ -54,8 +54,8 @@ def _default_parser(generated_str: str) -> list[str]:
             )
 
         s = constraint_extractor_str.strip()
-        s_upper = s.upper()
-        if s_upper in {"N/A", "N / A", "N/ A", "N /A"}:
+        s_norm = s.strip().upper().replace(" ", "")
+        if s_norm == "N/A":
             return []
 
         results: list[str] = []

From d2e07d57f3ab2749baac61f40d0a6638c9538cab Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Thu, 12 Feb 2026 16:34:47 +0000
Subject: [PATCH 08/38] upd: format with a newline

---
 .../constraint_extractor/_constraint_extractor.py               | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
index c86a569e3..8e7d9bd2f 100644
--- a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
+++ b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
@@ -140,4 +140,4 @@ def generate(  # type: ignore[override]
         return PromptModuleString(gen_result, parser)
 
 
-constraint_extractor = _ConstraintExtractor()
\ No newline at end of file
+constraint_extractor = _ConstraintExtractor()

From ff25006a2b4bae5fcca515ed4cdf0626cd7e9295 Mon Sep 17 00:00:00 2001
From: Tulio Coppola <tuliocoppola@ibm.com>
Date: Mon, 3 Nov 2025 12:18:31 -0300
Subject: [PATCH 09/38] feat: req validation generator & template v2

Signed-off-by: Tulio Coppola <tuliocoppola@ibm.com>
---
 cli/decompose/decompose.py                    |  41 ++++---
 cli/decompose/m_decomp_result_v1.py.jinja2    |  15 +++
 cli/decompose/m_decomp_result_v2.py.jinja2    |  91 ++++++++++++++
 cli/decompose/pipeline.py                     |  61 ++++++++--
 cli/decompose/prompt_modules/__init__.py      |   3 +
 .../_prompt/system_template.jinja2            |   2 +-
 .../validation_code_generator/__init__.py     |   7 ++
 .../validation_code_generator/_exceptions.py  |  24 ++++
 .../_prompt/__init__.py                       |   5 +
 .../_prompt/_icl_examples/__init__.py         |   2 +
 .../_icl_examples/_example_1/__init__.py      |   1 +
 .../_icl_examples/_example_1/_example.py      |  24 ++++
 .../_icl_examples/_example_2/__init__.py      |   1 +
 .../_icl_examples/_example_2/_example.py      |  31 +++++
 .../_icl_examples/_example_3/__init__.py      |   1 +
 .../_icl_examples/_example_3/_example.py      |  58 +++++++++
 .../_icl_examples/_example_4/__init__.py      |   1 +
 .../_icl_examples/_example_4/_example.py      |  31 +++++
 .../_prompt/_icl_examples/_icl_examples.py    |   5 +
 .../_prompt/_icl_examples/_types.py           |   6 +
 .../_prompt/_prompt.py                        |  19 +++
 .../_prompt/system_template.jinja2            |  77 ++++++++++++
 .../_prompt/user_template.jinja2              |   9 ++
 .../_validation_code_generator.py             | 113 ++++++++++++++++++
 .../_prompt/system_template.jinja2            |   7 +-
 25 files changed, 604 insertions(+), 31 deletions(-)
 create mode 100644 cli/decompose/m_decomp_result_v2.py.jinja2
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_exceptions.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2
 create mode 100644 cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 0b193d351..ae22f5433 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -1,6 +1,6 @@
 import json
 import keyword
-import re
+import shutil
 from enum import Enum
 from graphlib import TopologicalSorter
 from pathlib import Path
@@ -16,7 +16,7 @@
 class DecompVersion(str, Enum):
     latest = "latest"
     v1 = "v1"
-    # v2 = "v2"
+    v2 = "v2"
 
 
 this_file_dir = Path(__file__).resolve().parent
@@ -307,27 +307,40 @@ def run(
                 backend_api_key=backend_api_key,
             )
 
-        # Verify that all user variables are properly defined before use
-        # This may reorder subtasks if dependencies are out of order
-        decomp_data = verify_user_variables(decomp_data, input_var)
+        decomp_dir = out_dir / out_name
+        val_fn_dir = decomp_dir / "validations"
+        val_fn_dir.mkdir(parents=True)
 
-        with open(out_dir / f"{out_name}.json", "w") as f:
+        (val_fn_dir / "__init__.py").touch()
+
+        for constraint in decomp_data["identified_constraints"]:
+            if constraint["val_fn"] is not None:
+                with open(val_fn_dir / f"{constraint['val_fn_name']}.py", "w") as f:
+                    f.write(constraint["val_fn"] + "\n")
+
+        with open(decomp_dir / f"{out_name}.json", "w") as f:
             json.dump(decomp_data, f, indent=2)
 
-        with open(out_dir / f"{out_name}.py", "w") as f:
+        with open(decomp_dir / f"{out_name}.py", "w") as f:
             f.write(
                 m_template.render(
-                    subtasks=decomp_data["subtasks"], user_inputs=input_var
+                    subtasks=decomp_data["subtasks"],
+                    user_inputs=input_var,
+                    identified_constraints=decomp_data["identified_constraints"],
                 )
                 + "\n"
             )
     except Exception:
-        created_json = Path(out_dir / f"{out_name}.json")
-        created_py = Path(out_dir / f"{out_name}.py")
+        # created_json = Path(out_dir / f"{out_name}.json")
+        # created_py = Path(out_dir / f"{out_name}.py")
+
+        # if created_json.exists() and created_json.is_file():
+        #     created_json.unlink()
+        # if created_py.exists() and created_py.is_file():
+        #     created_py.unlink()
 
-        if created_json.exists() and created_json.is_file():
-            created_json.unlink()
-        if created_py.exists() and created_py.is_file():
-            created_py.unlink()
+        decomp_dir = out_dir / out_name
+        if decomp_dir.exists() and decomp_dir.is_dir():
+            shutil.rmtree(decomp_dir)
 
         raise Exception
diff --git a/cli/decompose/m_decomp_result_v1.py.jinja2 b/cli/decompose/m_decomp_result_v1.py.jinja2
index 7aa1d54f4..1f1e3646e 100644
--- a/cli/decompose/m_decomp_result_v1.py.jinja2
+++ b/cli/decompose/m_decomp_result_v1.py.jinja2
@@ -4,6 +4,14 @@ import os
 import textwrap
 
 import mellea
+{%- if "code" in identified_constraints | map(attribute="val_strategy") %}
+from mellea.stdlib.requirement import req
+{% for c in identified_constraints %}
+{%- if c.val_fn %}
+from validations.{{ c.val_fn_name }} import validate_input as {{ c.val_fn_name }}
+{%- endif %}
+{%- endfor %}
+{%- endif %}
 
 m = mellea.start_session()
 {%- if user_inputs %}
@@ -30,7 +38,14 @@ except KeyError as e:
     {%- if item.constraints %}
     requirements=[
         {%- for c in item.constraints %}
+        {%- if c.val_fn %}
+        req(
+            {{ c.constraint | tojson}},
+            validation_fn={{ c.val_fn_name }},
+        ),
+        {%- else %}
         {{ c.constraint | tojson}},
+        {%- endif %}
         {%- endfor %}
     ],
     {%- else %}
diff --git a/cli/decompose/m_decomp_result_v2.py.jinja2 b/cli/decompose/m_decomp_result_v2.py.jinja2
new file mode 100644
index 000000000..9b1bb13c6
--- /dev/null
+++ b/cli/decompose/m_decomp_result_v2.py.jinja2
@@ -0,0 +1,91 @@
+{% if user_inputs -%}
+import os
+{% endif -%}
+import textwrap
+
+import mellea
+{%- if "code" in identified_constraints | map(attribute="val_strategy") %}
+from mellea.stdlib.requirement import req
+{% for c in identified_constraints %}
+{%- if c.val_fn %}
+from validations.{{ c.val_fn_name }} import validate_input as {{ c.val_fn_name }}
+{%- endif %}
+{%- endfor %}
+{%- endif %}
+
+m = mellea.start_session()
+{%- if user_inputs %}
+
+
+# User Input Variables
+try:
+    {%- for var in user_inputs %}
+    {{ var | lower }} = os.environ["{{ var | upper }}"]
+    {%- endfor %}
+except KeyError as e:
+    print(f"ERROR: One or more required environment variables are not set; {e}")
+    exit(1)
+{%- endif %}
+{%- for item in subtasks %}
+
+
+{{ item.tag | lower }}_gnrl = textwrap.dedent(
+    R"""
+    {{ item.general_instructions | trim | indent(width=4, first=False) }}
+    """.strip()
+)
+{{ item.tag | lower }} = m.instruct(
+    {%- if not item.input_vars_required %}
+    {{ item.subtask[3:] | trim | tojson }},
+    {%- else %}
+    textwrap.dedent(
+        R"""
+        {{ item.subtask[3:] | trim }}
+
+        Here are the input variables and their content:
+        {%- for var in item.input_vars_required %}
+
+        - {{ var | upper }} = {{ "{{" }}{{ var | upper }}{{ "}}" }}
+        {%- endfor %}
+        """.strip()
+    ),
+    {%- endif %}
+    {%- if item.constraints %}
+    requirements=[
+        {%- for c in item.constraints %}
+        {%- if c.val_fn %}
+        req(
+            {{ c.constraint | tojson}},
+            validation_fn={{ c.val_fn_name }},
+        ),
+        {%- else %}
+        {{ c.constraint | tojson}},
+        {%- endif %}
+        {%- endfor %}
+    ],
+    {%- else %}
+    requirements=None,
+    {%- endif %}
+    {%- if item.input_vars_required %}
+    user_variables={
+        {%- for var in item.input_vars_required %}
+        {{ var | upper | tojson }}: {{ var | lower }},
+        {%- endfor %}
+    },
+    {%- endif %}
+    grounding_context={
+        "GENERAL_INSTRUCTIONS": {{ item.tag | lower }}_gnrl,
+        {%- for var in item.depends_on %}
+        {{ var | upper | tojson }}: {{ var | lower }}.value,
+        {%- endfor %}
+    },
+)
+assert {{ item.tag | lower }}.value is not None, 'ERROR: task "{{ item.tag | lower }}" execution failed'
+{%- if loop.last %}
+
+
+final_answer = {{ item.tag | lower }}.value
+
+print(final_answer)
+{%- endif -%}
+{%- endfor -%}
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index a574d35d6..f2bc79291 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -11,10 +11,11 @@
 
 from .prompt_modules import (
     constraint_extractor,
-    # general_instructions,
+    general_instructions,
     subtask_constraint_assign,
     subtask_list,
     subtask_prompt_generator,
+    validation_code_generator,
     validation_decision,
 )
 from .prompt_modules.subtask_constraint_assign import SubtaskPromptConstraintsItem
@@ -22,9 +23,16 @@
 from .prompt_modules.subtask_prompt_generator import SubtaskPromptItem
 
 
+class ConstraintValData(TypedDict):
+    val_strategy: Literal["code", "llm"]
+    val_fn: str | None
+
+
 class ConstraintResult(TypedDict):
     constraint: str
-    validation_strategy: str
+    val_strategy: Literal["code", "llm"]
+    val_fn: str | None
+    val_fn_name: str
 
 
 class DecompSubtasksResult(TypedDict):
@@ -32,7 +40,7 @@ class DecompSubtasksResult(TypedDict):
     tag: str
     constraints: list[ConstraintResult]
     prompt_template: str
-    # general_instructions: str
+    general_instructions: str
     input_vars_required: list[str]
     depends_on: list[str]
     generated_response: NotRequired[str]
@@ -72,7 +80,9 @@ def decompose(
         case DecompBackend.ollama:
             m_session = MelleaSession(
                 OllamaModelBackend(
-                    model_id=model_id, model_options={ModelOption.CONTEXT_WINDOW: 16384}
+                    model_id=model_id,
+                    base_url=backend_endpoint,
+                    model_options={ModelOption.CONTEXT_WINDOW: 16384},
                 )
             )
         case DecompBackend.openai:
@@ -115,11 +125,27 @@ def decompose(
         m_session, task_prompt, enforce_same_words=False
     ).parse()
 
-    constraint_validation_strategies: dict[str, Literal["code", "llm"]] = {
-        cons_key: validation_decision.generate(m_session, cons_key).parse()
+    constraint_val_strategy: dict[
+        str, dict[Literal["val_strategy"], Literal["code", "llm"]]
+    ] = {
+        cons_key: {
+            "val_strategy": validation_decision.generate(m_session, cons_key).parse()
+        }
         for cons_key in task_prompt_constraints
     }
 
+    constraint_val_data: dict[str, ConstraintValData] = {}
+
+    for cons_key in constraint_val_strategy:
+        constraint_val_data[cons_key] = {
+            "val_strategy": constraint_val_strategy[cons_key]["val_strategy"],
+            "val_fn": None,
+        }
+        if constraint_val_data[cons_key]["val_strategy"] == "code":
+            constraint_val_data[cons_key]["val_fn"] = (
+                validation_code_generator.generate(m_session, cons_key).parse()
+            )
+
     subtask_prompts: list[SubtaskPromptItem] = subtask_prompt_generator.generate(
         m_session,
         task_prompt,
@@ -142,14 +168,21 @@ def decompose(
             constraints=[
                 {
                     "constraint": cons_str,
-                    "validation_strategy": constraint_validation_strategies[cons_str],
+                    "val_strategy": constraint_val_data[cons_str]["val_strategy"],
+                    "val_fn_name": f"val_fn_{task_prompt_constraints.index(cons_str) + 1}",
+                    # >> Always include generated "val_fn" code (experimental)
+                    "val_fn": constraint_val_data[cons_str]["val_fn"],
+                    # >> Include generated "val_fn" code only for the last subtask (experimental)
+                    # "val_fn": constraint_val_data[cons_str]["val_fn"]
+                    # if subtask_i + 1 == len(subtask_prompts_with_constraints)
+                    # else None,
                 }
                 for cons_str in subtask_data.constraints
             ],
             prompt_template=subtask_data.prompt_template,
-            # general_instructions=general_instructions.generate(
-            #     m_session, input_str=subtask_data.prompt_template
-            # ).parse(),
+            general_instructions=general_instructions.generate(
+                m_session, input_str=subtask_data.prompt_template
+            ).parse(),
             input_vars_required=list(
                 dict.fromkeys(  # Remove duplicates while preserving the original order.
                     [
@@ -173,7 +206,7 @@ def decompose(
                 )
             ),
         )
-        for subtask_data in subtask_prompts_with_constraints
+        for subtask_i, subtask_data in enumerate(subtask_prompts_with_constraints)
     ]
 
     return DecompPipelineResult(
@@ -182,9 +215,11 @@ def decompose(
         identified_constraints=[
             {
                 "constraint": cons_str,
-                "validation_strategy": constraint_validation_strategies[cons_str],
+                "val_strategy": constraint_val_data[cons_str]["val_strategy"],
+                "val_fn": constraint_val_data[cons_str]["val_fn"],
+                "val_fn_name": f"val_fn_{cons_i + 1}",
             }
-            for cons_str in task_prompt_constraints
+            for cons_i, cons_str in enumerate(task_prompt_constraints)
         ],
         subtasks=decomp_subtask_result,
     )
diff --git a/cli/decompose/prompt_modules/__init__.py b/cli/decompose/prompt_modules/__init__.py
index 19b7079e3..922bdcbe8 100644
--- a/cli/decompose/prompt_modules/__init__.py
+++ b/cli/decompose/prompt_modules/__init__.py
@@ -7,4 +7,7 @@
 from .subtask_prompt_generator import (
     subtask_prompt_generator as subtask_prompt_generator,
 )
+from .validation_code_generator import (
+    validation_code_generator as validation_code_generator,
+)
 from .validation_decision import validation_decision as validation_decision
diff --git a/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2 b/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2
index 30baaf93a..e5cad42e7 100644
--- a/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2
+++ b/cli/decompose/prompt_modules/subtask_constraint_assign/_prompt/system_template.jinja2
@@ -8,7 +8,7 @@ You will be provided with the following 4 parameters inside their respective tag
 4. <all_constraints> : A list of candidate (possible) constraints that can be assigned to the target task.
 </parameters>
 
-The <all_constraints> list contain the constraints of all tasks on the <execution_plan>, your job is to filter and select only the constraints belonging to your target task.
+The <all_constraints> is a list of constraints identified for the entire <execution_plan>, your job is to filter and select only the constraints belonging to your target task.
 It is possible that none of the constraints in the <all_constraints> are relevant or related to your target task.
 
 Below, enclosed in <general_instructions> tags, are instructions to guide you on how to complete your assignment:
diff --git a/cli/decompose/prompt_modules/validation_code_generator/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/__init__.py
new file mode 100644
index 000000000..dfb4bd0ce
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/__init__.py
@@ -0,0 +1,7 @@
+from ._exceptions import (
+    BackendGenerationError as BackendGenerationError,
+    TagExtractionError as TagExtractionError,
+)
+from ._validation_code_generator import (
+    validation_code_generator as validation_code_generator,
+)
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_exceptions.py b/cli/decompose/prompt_modules/validation_code_generator/_exceptions.py
new file mode 100644
index 000000000..d808b613d
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_exceptions.py
@@ -0,0 +1,24 @@
+from typing import Any
+
+
+class ValidationCodeGeneratorError(Exception):
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        self.error_message = error_message
+        self.__dict__.update(kwargs)
+        super().__init__(
+            f'Module Error "validation_code_generator"; {self.error_message}'
+        )
+
+
+class BackendGenerationError(ValidationCodeGeneratorError):
+    """Raised when LLM generation fails in the "validation_code_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
+
+
+class TagExtractionError(ValidationCodeGeneratorError):
+    """Raised when tag extraction fails in the "validation_code_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py
new file mode 100644
index 000000000..0b985cbe6
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/__init__.py
@@ -0,0 +1,5 @@
+from ._icl_examples import icl_examples as default_icl_examples
+from ._prompt import (
+    get_system_prompt as get_system_prompt,
+    get_user_prompt as get_user_prompt,
+)
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py
new file mode 100644
index 000000000..052fe7c99
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/__init__.py
@@ -0,0 +1,2 @@
+from ._icl_examples import icl_examples as icl_examples
+from ._types import ICLExample as ICLExample
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py
new file mode 100644
index 000000000..9bb4e23da
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_1/_example.py
@@ -0,0 +1,24 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = """You must not use any uppercase letters"""
+
+validation_function = """def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input contains only lowercase letters.
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if all characters are lowercase, False otherwise
+    \"""
+    try:
+        return answer.islower()
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py
new file mode 100644
index 000000000..6e2d98fe0
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_2/_example.py
@@ -0,0 +1,31 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = """The answer must be a JSON with the following keys:
+1. "subject"
+2. "content\""""
+
+validation_function = """import json
+
+def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input is a JSON with required keys: subject and content.
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if JSON has required keys, False otherwise
+    \"""
+    try:
+        data = json.loads(response)
+        return isinstance(data, dict) and "subject" in data and "content" in data
+    except json.JSONDecodeError:
+        return False
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py
new file mode 100644
index 000000000..65070a6ed
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_3/_example.py
@@ -0,0 +1,58 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = "Return a list of requirements, using dash bullets (-), where each item begins with the relevant entity"
+
+validation_function = """def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input is a list of requirements using dash bullets,
+    where each item begins with the relevant entity.
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if input follows the required format, False otherwise
+    \"""
+    try:
+        if not input or not isinstance(input, str):
+            return False
+            
+        lines = input.strip().split('\n')
+        
+        # Check if all lines are empty
+        if not any(line.strip() for line in lines):
+            return False
+            
+        for line in lines:
+            line = line.strip()
+            
+            # Skip empty lines
+            if not line:
+                continue
+                
+            # Check if line starts with a dash bullet
+            if not line.startswith('- '):
+                return False
+                
+            # Check if there's content after the dash bullet
+            content = line[2:].strip()  # Remove '- ' prefix
+            if not content:
+                return False
+                
+            # Check if content has an entity (word) at the beginning
+            words = content.split()
+            if not words:
+                return False
+                
+            # Entity should be the first word - just check it exists
+            # We're not validating what constitutes a valid entity here
+            
+        return True
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py
new file mode 100644
index 000000000..f1af01ab1
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_example_4/_example.py
@@ -0,0 +1,31 @@
+# ruff: noqa: W293
+from .._types import ICLExample
+
+constraint_requirement = 'Avoid the words "daughter-in-law" and "grandson"'
+
+validation_function = """def validate_input(input: str) -> bool:
+    \"""
+    Validates that the input does not contain the words "daughter-in-law" and "grandson".
+    
+    Args:
+        input (str): The input to validate
+        
+    Returns:
+        bool: True if neither word is found, False otherwise
+    \"""
+    try:
+        if not input:
+            return False
+            
+        # Convert to lowercase for case-insensitive comparison
+        input_lower = input.lower()
+        
+        # Check if either forbidden word is present
+        return "daughter-in-law" not in input_lower and "grandson" not in input_lower
+    except Exception:
+        return False"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_function": validation_function,
+}
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py
new file mode 100644
index 000000000..c018d2e41
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_icl_examples.py
@@ -0,0 +1,5 @@
+from ._example_1 import example as example_1
+from ._example_2 import example as example_2
+from ._types import ICLExample
+
+icl_examples: list[ICLExample] = [example_1, example_2]
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py
new file mode 100644
index 000000000..bdd1f2372
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_icl_examples/_types.py
@@ -0,0 +1,6 @@
+from typing import TypedDict
+
+
+class ICLExample(TypedDict):
+    constraint_requirement: str
+    validation_function: str
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py
new file mode 100644
index 000000000..b324180fc
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/_prompt.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+from jinja2 import Environment, FileSystemLoader
+
+from ._icl_examples import ICLExample, icl_examples as default_icl_examples
+
+this_file_dir = Path(__file__).resolve().parent
+
+environment = Environment(loader=FileSystemLoader(this_file_dir), autoescape=False)
+system_template = environment.get_template("system_template.jinja2")
+user_template = environment.get_template("user_template.jinja2")
+
+
+def get_system_prompt(icl_examples: list[ICLExample] = default_icl_examples) -> str:
+    return system_template.render(icl_examples=icl_examples).strip()
+
+
+def get_user_prompt(constraint_requirement: str) -> str:
+    return user_template.render(constraint_requirement=constraint_requirement).strip()
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2 b/cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2
new file mode 100644
index 000000000..7b414d0d5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/system_template.jinja2
@@ -0,0 +1,77 @@
+You are a Python developer specialized in writing validation functions based on natural language constraints or requirements.
+
+## Function Requirements
+
+You will be provided with a constraint/requirement inside the <constraint_requirement> tags.
+Your task is to write a Python function capable of validating the <constraint_requirement> against a text input to your function.
+
+Your code must:
+- Be a single Python function.
+- Take exactly one string parameter (the text input to be validated).
+- Return a boolean value (True if valid or False if invalid).
+- Use only standard Python libraries. No third-party dependencies.
+- Be deterministic and self-contained.
+- If the constraint/requirement mentions data that was not provided, just return `False` (don't need to implement code).
+
+## Output Format
+
+Your response must be structured as follows:
+- Your Python function must be inside the <validation_function> tags.
+- The function signature must be: `def validate_input(input: str) -> bool:`.
+- Always enclose your code on a "try..except Exception:" clause and return `False` in case of exceptions.
+
+## Examples
+
+Here are some complete examples showing constraints/requirements and their corresponding validation functions:
+
+{% for item in icl_examples -%}
+<example_{{ loop.index }}>
+<constraint_requirement>
+{{ item["constraint_requirement"] }}
+</constraint_requirement>
+<validation_function>
+{{ item["validation_function"] }}
+</validation_function>
+
+All tags are closed and my assignment is finished.
+</example_{{ loop.index }}>
+
+{% endfor -%}
+That concludes the complete examples of your assignment.
+
+## Additional Instructions
+
+When writing your answer, follow these additional instructions below to be successful:
+1. The function signature must be: `def validate_input(input: str) -> bool:`
+2. The function must handle `None` and empty string inputs by returning `False`
+3. Use appropriate Python standard library modules (re, json, etc.) as needed
+4. Ensure the function is simple and doesn't have unnecessary complexity
+5. The validation logic should directly correspond to the provided constraint/requirement
+
+## Common Validation Patterns
+
+Here are some typical validation scenarios you might encounter:
+
+1. Character limit validation:
+    - Check if the answer has a specific number of characters or words
+    - Example: "The answer must be less than 100 characters"
+
+2. Format validation:
+    - Validate JSON structure, XML format, or other structured data
+    - Example: "The answer must be valid JSON with 'name' and 'age' fields"
+
+3. Content validation:
+    - Check for specific content patterns like uppercase letters, numbers, etc.
+    - Example: "The answer must contain at least one uppercase letter"
+
+4. Pattern matching:
+    - Use regex to validate specific patterns
+    - Example: "The answer must be in the format 'Name: [text], Age: [number]'"
+
+Important: Use only standard Python libraries that don't require additional installation.
+Important: Your function must be deterministic and produce consistent results.
+Important: You must always close the tags that were opened by using their corresponding close tag. You will be penalized if you don't close all tags.
+
+Very Important: After closing all tags, finish your assignment by writing (without the double quotes): "All tags are closed and my assignment is finished.".
+Very Important: Always enclose your code on a "try..except Exception:" clause and return `False` in case of exceptions.
+Very Important: If the constraint/requirement is not clear, or missing information, just return `False`.
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2 b/cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2
new file mode 100644
index 000000000..867af52e4
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_prompt/user_template.jinja2
@@ -0,0 +1,9 @@
+## Requirements:
+- The function name must be: "validate_input"
+- The function signature must be: `def validate_input(input: str) -> bool:`
+
+Now, here is the constraint/requirement for you to write a Python validation function:
+
+<constraint_requirement>
+{{ constraint_requirement }}
+</constraint_requirement>
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py b/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
new file mode 100644
index 000000000..9ebe35a6e
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
@@ -0,0 +1,113 @@
+import re
+from collections.abc import Callable
+from typing import Any, TypeVar, final
+
+from mellea import MelleaSession
+from mellea.backends.types import ModelOption
+from mellea.stdlib.chat import Message
+
+from .._prompt_modules import PromptModule, PromptModuleString
+from ._exceptions import BackendGenerationError, TagExtractionError
+from ._prompt import get_system_prompt, get_user_prompt
+
+T = TypeVar("T")
+
+RE_VALIDATION_FUNCTION = re.compile(
+    r"<validation_function>(.+?)</validation_function>", flags=re.IGNORECASE | re.DOTALL
+)
+
+
+@final
+class _ValidationCodeGenerator(PromptModule):
+    @staticmethod
+    def _default_parser(generated_str: str) -> str:
+        r"""Default parser of the `validation_code_generator` module.
+
+        _**Disclaimer**: This is a LLM-prompting module, so the results will vary depending
+        on the size and capabilities of the LLM used. The results are also not guaranteed, so
+        take a look at this module's Exceptions and plan for unreliable results._
+
+        Args:
+            generated_str (`str`): The LLM's answer to be parsed.
+
+        Returns:
+            str: The extracted Python validation function code.
+
+        Raises:
+            TagExtractionError: An error occurred trying to extract content from the
+                generated output. The LLM probably failed to open and close
+                the \<validation_function\> tags.
+        """
+        validation_function_match = re.search(RE_VALIDATION_FUNCTION, generated_str)
+
+        validation_function_str: str | None = (
+            validation_function_match.group(1).strip()
+            if validation_function_match
+            else None
+        )
+
+        if validation_function_str is None:
+            raise TagExtractionError(
+                'LLM failed to generate correct tags for extraction: "<validation_function>"'
+            )
+
+        return validation_function_str
+
+    def generate(
+        self,
+        mellea_session: MelleaSession,
+        input_str: str | None,
+        max_new_tokens: int = 4096,
+        parser: Callable[[str], T] = _default_parser,  # type: ignore[assignment]
+        # About the mypy ignore above: https://github.com/python/mypy/issues/3737
+        **kwargs: dict[str, Any],
+    ) -> PromptModuleString[T]:
+        """Generates a Python validation function based on a provided constraint/requirement.
+
+        Args:
+            mellea_session (`MelleaSession`): A mellea session with a backend.
+            input_str (`str`): Natural language constraint/requirement to generate validation code for.
+            prompt (`str`, optional): The original task prompt for context. Defaults to None.
+            max_new_tokens (`int`, optional): Maximum tokens to generate.
+                Defaults to `4096`.
+            parser (`Callable[[str], Any]`, optional): A string parsing function.
+                Defaults to `_ValidationCodeGenerator._default_parser`.
+
+        Returns:
+            PromptModuleString: A `PromptModuleString` class containing the generated output.
+
+            The `PromptModuleString` class behaves like a `str`, but with an additional `parse()` method
+            to execute the parsing function passed in the `parser` argument of
+            this method (the `parser` argument defaults to `_ValidationCodeGenerator._default_parser`).
+
+        Raises:
+            BackendGenerationError: Some error occurred during the LLM generation call.
+        """
+        assert input_str is not None, 'This module requires the "input_str" argument'
+
+        system_prompt = get_system_prompt()
+        user_prompt = get_user_prompt(constraint_requirement=input_str)
+
+        action = Message("user", user_prompt)
+
+        try:
+            gen_result = mellea_session.act(
+                action=action,
+                model_options={
+                    ModelOption.SYSTEM_PROMPT: system_prompt,
+                    ModelOption.TEMPERATURE: 0,
+                    ModelOption.MAX_NEW_TOKENS: max_new_tokens,
+                },
+            ).value
+        except Exception as e:
+            raise BackendGenerationError(f"LLM generation failed: {e}")
+
+        if gen_result is None:
+            raise BackendGenerationError(
+                "LLM generation failed: value attribute is None"
+            )
+
+        return PromptModuleString(gen_result, parser)
+
+
+validation_code_generator = _ValidationCodeGenerator()
diff --git a/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2 b/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2
index 8e5cb00fb..fc0be317c 100644
--- a/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2
+++ b/cli/decompose/prompt_modules/validation_decision/_prompt/system_template.jinja2
@@ -1,14 +1,14 @@
-You are a Validation Decision Expert specialized in determining whether prompt requirements can be validated deterministically by writing Python code or if they're best suited for LLM validation.
+You are a Validation Decision Expert specialized in determining whether prompt requirements can be validated deterministically, by writing Python code, or if they're best suited for LLM validation.
 
 ## Decision Criteria
 
 ### Code Validation
 A requirement should be classified as "code" if it:
-- Can be checked with deterministic algorithms
+- Can be validated deterministically
 - Involves structured data validation (e.g., JSON schema, regex patterns)
-- Requires mathematical computations or logical operations
 - Can be validated with simple string operations
 - Has clearly defined success/failure criteria that can be programmatically determined
+- Is a straightforward requirement to validate the task output
 
 ### LLM Validation
 A requirement should be classified as "llm" if it:
@@ -59,6 +59,7 @@ When writing your answer, follow these additional instructions below to be succe
 3. After closing all tags, finish your assignment by writing (without the double quotes): "All tags are closed and my assignment is finished."
 
 Important: You must always close the tags that were opened by using their corresponding close tag. You will be penalized if you don't close all tags.
+Important: The "code" classification is usually for validating the task output format or other deterministic requirements.
 
 Your response must contain exactly one of these two words inside <validation_decision> tags:
 - code

From 6b7f53c45c92a2c834664dd30079769753c4a2b6 Mon Sep 17 00:00:00 2001
From: Bobby <phdbobbywu@gmail.com>
Date: Mon, 12 Jan 2026 16:27:39 +0000
Subject: [PATCH 10/38] fix: constraint extractor

---
 .../constraint_extractor/_constraint_extractor.py               | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
index 8e7d9bd2f..c86a569e3 100644
--- a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
+++ b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
@@ -140,4 +140,4 @@ def generate(  # type: ignore[override]
         return PromptModuleString(gen_result, parser)
 
 
-constraint_extractor = _ConstraintExtractor()
+constraint_extractor = _ConstraintExtractor()
\ No newline at end of file

From afc4ca95c968ade1f3f841e1a678dc475adffb9e Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Thu, 26 Feb 2026 16:00:27 +0000
Subject: [PATCH 11/38] clean: pre-commit clean

---
 cli/decompose/decompose.py                               | 9 ++-------
 .../constraint_extractor/_constraint_extractor.py        | 2 +-
 .../_validation_code_generator.py                        | 4 ++--
 3 files changed, 5 insertions(+), 10 deletions(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index ae22f5433..6441488d9 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -1,5 +1,6 @@
 import json
 import keyword
+import re
 import shutil
 from enum import Enum
 from graphlib import TopologicalSorter
@@ -17,6 +18,7 @@ class DecompVersion(str, Enum):
     latest = "latest"
     v1 = "v1"
     v2 = "v2"
+    # v3 = "v3"
 
 
 this_file_dir = Path(__file__).resolve().parent
@@ -331,13 +333,6 @@ def run(
                 + "\n"
             )
     except Exception:
-        # created_json = Path(out_dir / f"{out_name}.json")
-        # created_py = Path(out_dir / f"{out_name}.py")
-
-        # if created_json.exists() and created_json.is_file():
-        #     created_json.unlink()
-        # if created_py.exists() and created_py.is_file():
-        #     created_py.unlink()
 
         decomp_dir = out_dir / out_name
         if decomp_dir.exists() and decomp_dir.is_dir():
diff --git a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
index c86a569e3..8e7d9bd2f 100644
--- a/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
+++ b/cli/decompose/prompt_modules/constraint_extractor/_constraint_extractor.py
@@ -140,4 +140,4 @@ def generate(  # type: ignore[override]
         return PromptModuleString(gen_result, parser)
 
 
-constraint_extractor = _ConstraintExtractor()
\ No newline at end of file
+constraint_extractor = _ConstraintExtractor()
diff --git a/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py b/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
index 9ebe35a6e..55949c963 100644
--- a/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
+++ b/cli/decompose/prompt_modules/validation_code_generator/_validation_code_generator.py
@@ -3,8 +3,8 @@
 from typing import Any, TypeVar, final
 
 from mellea import MelleaSession
-from mellea.backends.types import ModelOption
-from mellea.stdlib.chat import Message
+from mellea.backends import ModelOption
+from mellea.stdlib.components.chat import Message
 
 from .._prompt_modules import PromptModule, PromptModuleString
 from ._exceptions import BackendGenerationError, TagExtractionError

From 048663abf7012e83e954ce76837e68d145a5b27e Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Thu, 26 Feb 2026 16:00:56 +0000
Subject: [PATCH 12/38] fix: test

---
 test/decompose/test_decompose.py | 50 ++++++++++++++++++++++++++++++++
 1 file changed, 50 insertions(+)

diff --git a/test/decompose/test_decompose.py b/test/decompose/test_decompose.py
index a04f92b25..c51683fee 100644
--- a/test/decompose/test_decompose.py
+++ b/test/decompose/test_decompose.py
@@ -23,6 +23,7 @@ def test_no_dependencies(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -31,6 +32,7 @@ def test_no_dependencies(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -39,6 +41,7 @@ def test_no_dependencies(self):
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -60,6 +63,7 @@ def test_simple_linear_dependency(self):
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -68,6 +72,7 @@ def test_simple_linear_dependency(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -76,6 +81,7 @@ def test_simple_linear_dependency(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -97,6 +103,7 @@ def test_diamond_dependency(self):
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -105,6 +112,7 @@ def test_diamond_dependency(self):
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -113,6 +121,7 @@ def test_diamond_dependency(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -121,6 +130,7 @@ def test_diamond_dependency(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -142,6 +152,7 @@ def test_case_insensitive_dependencies(self):
             {
                 "subtask": "Task B",
                 "tag": "task_b",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -150,6 +161,7 @@ def test_case_insensitive_dependencies(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -170,6 +182,7 @@ def test_multiple_independent_chains(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -178,6 +191,7 @@ def test_multiple_independent_chains(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -187,6 +201,7 @@ def test_multiple_independent_chains(self):
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -195,6 +210,7 @@ def test_multiple_independent_chains(self):
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -219,6 +235,7 @@ def test_nonexistent_dependency_ignored(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -230,6 +247,7 @@ def test_nonexistent_dependency_ignored(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -250,6 +268,7 @@ def test_renumbers_subtask_descriptions(self):
             {
                 "subtask": "3. Do task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -258,6 +277,7 @@ def test_renumbers_subtask_descriptions(self):
             {
                 "subtask": "2. Do task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -266,6 +286,7 @@ def test_renumbers_subtask_descriptions(self):
             {
                 "subtask": "1. Do task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -287,6 +308,7 @@ def test_renumbers_only_numbered_subtasks(self):
             {
                 "subtask": "2. Numbered task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -295,6 +317,7 @@ def test_renumbers_only_numbered_subtasks(self):
             {
                 "subtask": "Unnumbered task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -315,6 +338,7 @@ def test_renumbers_with_complex_reordering(self):
             {
                 "subtask": "4. Final task",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -323,6 +347,7 @@ def test_renumbers_with_complex_reordering(self):
             {
                 "subtask": "3. Third task",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -331,6 +356,7 @@ def test_renumbers_with_complex_reordering(self):
             {
                 "subtask": "2. Second task",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -339,6 +365,7 @@ def test_renumbers_with_complex_reordering(self):
             {
                 "subtask": "1. First task",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -366,6 +393,7 @@ def test_circular_dependency_two_nodes(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -374,6 +402,7 @@ def test_circular_dependency_two_nodes(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -390,6 +419,7 @@ def test_circular_dependency_three_nodes(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -398,6 +428,7 @@ def test_circular_dependency_three_nodes(self):
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -406,6 +437,7 @@ def test_circular_dependency_three_nodes(self):
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -422,6 +454,7 @@ def test_self_dependency(self):
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -459,6 +492,7 @@ def test_no_input_vars_no_dependencies(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -482,6 +516,7 @@ def test_valid_input_vars(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A with {{ USER_INPUT }}",
                     "input_vars_required": ["USER_INPUT"],
@@ -504,6 +539,7 @@ def test_case_insensitive_input_vars(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["user_input"],  # lowercase
@@ -527,6 +563,7 @@ def test_valid_dependencies_in_order(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -535,6 +572,7 @@ def test_valid_dependencies_in_order(self):
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -559,6 +597,7 @@ def test_dependencies_out_of_order_triggers_reorder(self):
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -567,6 +606,7 @@ def test_dependencies_out_of_order_triggers_reorder(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -591,6 +631,7 @@ def test_complex_reordering(self):
                 {
                     "subtask": "Task D",
                     "tag": "TASK_D",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do D",
                     "input_vars_required": [],
@@ -599,6 +640,7 @@ def test_complex_reordering(self):
                 {
                     "subtask": "Task C",
                     "tag": "TASK_C",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do C",
                     "input_vars_required": [],
@@ -607,6 +649,7 @@ def test_complex_reordering(self):
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -615,6 +658,7 @@ def test_complex_reordering(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -643,6 +687,7 @@ def test_missing_required_input_var(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["MISSING_VAR"],
@@ -667,6 +712,7 @@ def test_missing_required_input_var_with_some_provided(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["VAR1", "VAR2"],
@@ -691,6 +737,7 @@ def test_dependency_on_nonexistent_subtask(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -715,6 +762,7 @@ def test_circular_dependency_detected(self):
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -723,6 +771,7 @@ def test_circular_dependency_detected(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -744,6 +793,7 @@ def test_empty_input_var_list_treated_as_none(self):
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["REQUIRED_VAR"],

From 464005b9dfef2ba6b033798fc2ef9dedd0a8bfe5 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Thu, 26 Feb 2026 17:05:09 +0000
Subject: [PATCH 13/38] revert: ci workflow

---
 .github/workflows/cd.yml      | 12 +++++++++++-
 .github/workflows/ci.yml      |  1 +
 .github/workflows/quality.yml | 14 ++++++--------
 3 files changed, 18 insertions(+), 9 deletions(-)

diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index a2d45ad1c..a4389b0d3 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -2,6 +2,12 @@ name: "Run CD"
 
 on:
   workflow_dispatch:
+    inputs:
+        force_release:
+            description: 'Force release even if previous checks fail.'
+            type: boolean
+            required: false
+            default: false
 
 env:
   UV_FROZEN: "1"
@@ -36,7 +42,11 @@ jobs:
         run: uv run --no-sync semantic-release changelog --unreleased
   release:
     needs: [code-checks, pre-release-check]
-    if: needs.pre-release-check.outputs.TARGET_TAG_V != ''
+    # Run this job only if the `TARGET_TAG_V` is set AND (the previous jobs
+    # were successful OR we are forcing the release).
+    if: >-
+        ${{ needs.pre-release-check.outputs.TARGET_TAG_V != '' &&
+        ( success() || inputs.force_release ) }}
     environment: auto-release
     runs-on: ubuntu-latest
     concurrency: release
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 825ebbd0f..4fb08f319 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -3,6 +3,7 @@ name: "Run CI"
 on:
   pull_request:
     types: [opened, reopened, synchronize]
+  merge_group:
 
 jobs:
   code-checks:
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml
index caffd2f4a..2e343d4f2 100644
--- a/.github/workflows/quality.yml
+++ b/.github/workflows/quality.yml
@@ -3,10 +3,9 @@ name: Verify Code Quality
 on:
   workflow_call:
 
-
 concurrency:
-    group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
-    cancel-in-progress: true
+  group: ${{ github.workflow }}-${{ github.event_name == 'pull_request' && github.event.pull_request.number || github.ref_name }}
+  cancel-in-progress: true
 
 env:
   CICD: 1
@@ -15,10 +14,10 @@ env:
 jobs:
   quality:
     runs-on: ubuntu-latest
-    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy. 
+    timeout-minutes: 90 # TODO: need to reduce this after we figure out our testing strategy.
     strategy:
       matrix:
-        python-version: ['3.10', '3.11', '3.12'] # Need to add 3.13 once we resolve outlines issues.
+        python-version: ["3.10", "3.11", "3.12"] # Need to add 3.13 once we resolve outlines issues.
     steps:
       - uses: actions/checkout@v4
       - name: Free disk space
@@ -39,7 +38,7 @@ jobs:
       - name: Check style and run tests
         run: pre-commit run --all-files
       - name: Send failure message pre-commit
-        if: failure()  # This step will only run if a previous step failed
+        if: failure() # This step will only run if a previous step failed
         run: echo "The quality verification failed. Please run precommit "
       - name: Install Ollama
         run: curl -fsSL https://ollama.com/install.sh | sh
@@ -52,6 +51,5 @@ jobs:
       - name: Run Tests
         run: uv run -m pytest -v test
       - name: Send failure message tests
-        if: failure()  # This step will only run if a previous step failed
+        if: failure() # This step will only run if a previous step failed
         run: echo "Tests failed. Please verify that tests are working locally."
-      

From d6f86b8401a53da583d7d9f9a0805aaa77dc0bb9 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 2 Mar 2026 16:16:06 +0000
Subject: [PATCH 14/38] clean: newline change by uv run pre-commit run
 --all-files

---
 cli/decompose/decompose.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 6441488d9..58e8bb7d2 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -333,7 +333,6 @@ def run(
                 + "\n"
             )
     except Exception:
-
         decomp_dir = out_dir / out_name
         if decomp_dir.exists() and decomp_dir.is_dir():
             shutil.rmtree(decomp_dir)

From c7d3408ebb4415bccce63d943c0dad8d19a58631 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu.cs@gmail.com>
Date: Sun, 15 Mar 2026 22:52:48 -0400
Subject: [PATCH 15/38] upd: script and use case examples

---
 .../m_decompose/decompose_using_cli.sh        |    8 +-
 docs/examples/m_decompose/example.txt         |    3 +
 .../m_decompose/example_decompose_prompt.txt  |   53 -
 .../examples/m_decompose/m_decomp_result.json |  688 -------
 docs/examples/m_decompose/m_decomp_result.py  | 1785 -----------------
 .../python/python_decompose_example.py        |    2 +-
 .../m_decompose/small/m_decomp_result.json    |   44 +-
 7 files changed, 33 insertions(+), 2550 deletions(-)
 mode change 100644 => 100755 docs/examples/m_decompose/decompose_using_cli.sh
 create mode 100644 docs/examples/m_decompose/example.txt
 delete mode 100644 docs/examples/m_decompose/example_decompose_prompt.txt
 delete mode 100644 docs/examples/m_decompose/m_decomp_result.json
 delete mode 100644 docs/examples/m_decompose/m_decomp_result.py

diff --git a/docs/examples/m_decompose/decompose_using_cli.sh b/docs/examples/m_decompose/decompose_using_cli.sh
old mode 100644
new mode 100755
index 169596b56..c9b05b9e6
--- a/docs/examples/m_decompose/decompose_using_cli.sh
+++ b/docs/examples/m_decompose/decompose_using_cli.sh
@@ -1 +1,7 @@
-m decompose run --out-dir ./ --prompt-file ./docs/examples/m_decomposeexample_decompose_prompt.txt
\ No newline at end of file
+#MODEL_ID=granite3.3
+#MODEL_ID=granite4
+
+MODEL_ID=qwen2.5:7b
+
+m decompose run --model-id $MODEL_ID  --out-dir ./ --prompt-file example.txt
+
diff --git a/docs/examples/m_decompose/example.txt b/docs/examples/m_decompose/example.txt
new file mode 100644
index 000000000..f6c2f4af5
--- /dev/null
+++ b/docs/examples/m_decompose/example.txt
@@ -0,0 +1,3 @@
+I will visit Grand Canyon National Park for 3 days in early May. Please create a travel itinerary that includes major scenic viewpoints and short hiking trails. The daily walking distance should stay under 6 miles, and each day should include at least one sunset or sunrise viewpoint.
+I am preparing my U.S. federal tax return for 2025. My income sources include W-2 salary, house rental, and investment dividends. Please help estimate my federal tax liability and suitable which types of program of TurboTax for possible deductions. Assume I can take the standard/itemized deduction, and the calculation should assume I live in Virginia.
+We are building an AI assistant for meeting productivity that can summarize meetings and generate follow-up tasks. Please propose 5 core product features that would provide the most value to users. The features should be feasible and simple enough for a MVP, and each feature should be under 60 words.
\ No newline at end of file
diff --git a/docs/examples/m_decompose/example_decompose_prompt.txt b/docs/examples/m_decompose/example_decompose_prompt.txt
deleted file mode 100644
index 41336c1b7..000000000
--- a/docs/examples/m_decompose/example_decompose_prompt.txt
+++ /dev/null
@@ -1,53 +0,0 @@
-I need you to help me plan, organize, and execute a comprehensive corporate team-building
-event for our company with 100-300 employees that will strengthen team cohesion,
-improve cross-departmental collaboration, boost morale, and create lasting memories,
-and I need you to create a complete event strategy document that includes detailed planning
-timelines starting 6 months before the event with weekly milestones, budget breakdowns for venue
-rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities
-at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total
-estimated budget of $50,000-125,000, and I need you to design a marketing and communication
-strategy with save-the-date announcements 4 months in advance, formal invitations 2 months before,
-weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile
-event app, and I need you to develop a venue selection process evaluating 10 venues based on
-capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities,
-WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness,
-and I need you to design a detailed event schedule from 8:00 AM to 8:00 PM including
-registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech,
-icebreaker activities at 9:30-10:30 AM including human bingo and speed networking,
-morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication,
-and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges
-at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition,
-and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment
-at 5:30-8:00 PM, and I need you to create icebreaker plans with 15 options including
-human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls,
-and I need you to develop team formation strategy with diverse mix of departments and
-seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences,
-and team assignments 2 weeks before with names and colors, and I need you to design workshop
-content with leadership case studies, innovation brainstorming, communication exercises,
-and wellness meditation, and I need you to create catering plan with breakfast coffee station
-and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with
-three entree choices and full bar, and I need you to develop activity logistics with equipment
-lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation
-schedules, and I need you to create transportation plan with charter buses, parking management,
-shuttle service, and contingency plans, and I need you to design registration process with online
-portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training,
-and I need you to develop safety plan with insurance, first aid stations, evacuation procedures,
-weather contingencies, food safety with allergen labeling, security personnel, and incident
-reporting, and I need you to create vendor management strategy with selection criteria, contracts,
-payment schedules, and evaluation forms, and I need you to design technology plan with event
-app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services,
-live streaming, and tech support, and I need you to develop decoration strategy with signage,
-team colors, photo backdrops, and sustainable options, and I need you to create entertainment
-plan with live band or DJ, emcee, interactive activities, and evening games, and I need you to
-design prize strategy with team prizes at $500, $300, and $200, individual awards, participation
-gifts, and raffle prizes, and I need you to create post-event evaluation with participant
-survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation,
-impact assessment, and thank you communications, and I need you to design accessibility plan
-with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive
-team formation, and I need you to develop sustainability plan with eco-friendly venue, local
-catering, reusable serving ware, digital communications, recyclable decorations, and
-waste management, and I need you to create contingency planning for weather emergencies,
-vendor cancellations, technology failures, medical emergencies, and budget overruns,
-and ensure all planning follows best practices, creates memorable experiences,
-accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable
-practices, leverages technology, builds excitement, and measures success.
\ No newline at end of file
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deleted file mode 100644
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--- a/docs/examples/m_decompose/m_decomp_result.json
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@@ -1,688 +0,0 @@
-{
-  "original_task_prompt": "I need you to help me plan, organize, and execute a comprehensive corporate team-building event for our company with 100-300 employees that will strengthen team cohesion, improve cross-departmental collaboration, boost morale, and create lasting memories, and I need you to create a complete event strategy document that includes detailed planning timelines starting 6 months before the event with weekly milestones, budget breakdowns for venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000, and I need you to design a marketing and communication strategy with save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app, and I need you to develop a venue selection process evaluating 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness, and I need you to design a detailed event schedule from 8:00 AM to 8:00 PM including registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM, and I need you to create icebreaker plans with 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls, and I need you to develop team formation strategy with diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors, and I need you to design workshop content with leadership case studies, innovation brainstorming, communication exercises, and wellness meditation, and I need you to create catering plan with breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar, and I need you to develop activity logistics with equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules, and I need you to create transportation plan with charter buses, parking management, shuttle service, and contingency plans, and I need you to design registration process with online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training, and I need you to develop safety plan with insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting, and I need you to create vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms, and I need you to design technology plan with event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support, and I need you to develop decoration strategy with signage, team colors, photo backdrops, and sustainable options, and I need you to create entertainment plan with live band or DJ, emcee, interactive activities, and evening games, and I need you to design prize strategy with team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes, and I need you to create post-event evaluation with participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications, and I need you to design accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation, and I need you to develop sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management, and I need you to create contingency planning for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns, and ensure all planning follows best practices, creates memorable experiences, accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable practices, leverages technology, builds excitement, and measures success.",
-  "subtask_list": [
-    "1. Gather all necessary information about the company, event requirements, and constraints. -",
-    "2. Create a detailed planning timeline starting 6 months before the event with weekly milestones. -",
-    "3. Develop a budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget. -",
-    "4. Design a marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods. -",
-    "5. Develop a venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness. -",
-    "6. Design a detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment. -",
-    "7. Create a list of 15 icebreaker activities with detailed plans. -",
-    "8. Develop a team formation strategy with diverse mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event. -",
-    "9. Design content for leadership, innovation, communication, and wellness workshops. -",
-    "10. Create a detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options. -",
-    "11. Develop logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules. -",
-    "12. Create a transportation plan with charter buses, parking management, shuttle service, and contingency plans. -",
-    "13. Design a registration process with online portal, on-site check-in, name tags, welcome packets, and staff training. -",
-    "14. Develop a comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting. -",
-    "15. Create a vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms. -",
-    "16. Design a technology plan with event app, AV equipment, WiFi, photography services, live streaming, and tech support. -",
-    "17. Develop a decoration strategy with signage, team colors, photo backdrops, and sustainable options. -",
-    "18. Create an entertainment plan with live band or DJ, emcee, interactive activities, and evening games. -",
-    "19. Design a prize strategy with team prizes, individual awards, participation gifts, and raffle prizes. -",
-    "20. Develop a post-event evaluation plan with participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications. -",
-    "21. Create an accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation. -",
-    "22. Develop a sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management. -",
-    "23. Create a contingency plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns. -",
-    "24. Compile all the information into a comprehensive event strategy document. -"
-  ],
-  "identified_constraints": [
-    {
-      "constraint": "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-      "validation_strategy": "code"
-    },
-    {
-      "constraint": "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-      "validation_strategy": "llm"
-    },
-    {
-      "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-      "validation_strategy": "llm"
-    }
-  ],
-  "subtasks": [
-    {
-      "subtask": "1. Gather all necessary information about the company, event requirements, and constraints. -",
-      "tag": "INFORMATION_GATHERING",
-      "constraints": [
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        },
-        {
-          "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "To gather all necessary information about the company, event requirements, and constraints, follow these steps:\n\n1. **Company Information**:\n   - **Company Size**: Determine the number of employees (100-300).\n   - **Departments**: Identify the different departments within the company.\n   - **Employee Demographics**: Gather information about the diversity of employees, including age, seniority, and roles.\n   - **Company Culture**: Understand the company's values, mission, and current team dynamics.\n\n2. **Event Requirements**:\n   - **Objectives**: Clearly define the goals of the event, such as strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n   - **Event Type**: Specify the type of event (e.g., corporate team-building event).\n   - **Duration**: Determine the start and end times of the event (8:00 AM to 8:00 PM).\n   - **Key Activities**: List the key activities planned for the event, such as registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.\n\n3. **Event Constraints**:\n   - **Budget**: Identify the budget constraints for different aspects of the event, including venue rental ($15,000-25,000), catering ($75-125 per person), entertainment and activities ($10,000-20,000), transportation ($3,000-8,000), technology ($5,000-10,000), and total estimated budget ($50,000-125,000).\n   - **Venue Requirements**: Specify the venue requirements, such as capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness.\n   - **Safety and Accessibility**: Ensure the event follows best practices for safety, accessibility, and sustainability.\n   - **Technology**: Identify the technology requirements, such as event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support.\n\n4. **Additional Information**:\n   - **Marketing and Communication**: Gather information about the marketing and communication strategy, including save-the-date announcements, formal invitations, reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app.\n   - **Team Formation**: Understand the team formation strategy, including diverse mix of departments and seniority, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before the event.\n   - **Workshop Content**: Identify the content for leadership, innovation, communication, and wellness workshops.\n   - **Catering Plan**: Gather information about the catering plan, including breakfast, lunch, afternoon snacks, and dinner options.\n   - **Activity Logistics**: Understand the logistics for all planned activities, including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n   - **Transportation Plan**: Gather information about the transportation plan, including charter buses, parking management, shuttle service, and contingency plans.\n   - **Registration Process**: Understand the registration process, including online portal, on-site check-in, name tags, welcome packets, and staff training.\n   - **Safety Plan**: Gather information about the safety plan, including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.\n   - **Vendor Management**: Understand the vendor management strategy, including selection criteria, contracts, payment schedules, and evaluation forms.\n   - **Technology Plan**: Gather information about the technology plan, including event app, AV equipment, WiFi, photography services, live streaming, and tech support.\n   - **Decoration Strategy**: Understand the decoration strategy, including signage, team colors, photo backdrops, and sustainable options.\n   - **Entertainment Plan**: Gather information about the entertainment plan, including live band or DJ, emcee, interactive activities, and evening games.\n   - **Prize Strategy**: Understand the prize strategy, including team prizes, individual awards, participation gifts, and raffle prizes.\n   - **Post-Event Evaluation**: Gather information about the post-event evaluation plan, including participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.\n   - **Accessibility Plan**: Understand the accessibility plan, including ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.\n   - **Sustainability Plan**: Gather information about the sustainability plan, including eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.\n   - **Contingency Planning**: Understand the contingency planning for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.\n\n5. **Documentation**:\n   - Compile all the gathered information into a comprehensive document that will serve as the basis for the event strategy document.\n\nBy following these steps, you will gather all necessary information about the company, event requirements, and constraints to ensure a successful and well-organized corporate team-building event.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "2. Create a detailed planning timeline starting 6 months before the event with weekly milestones. -",
-      "tag": "PLANNING_TIMELINE",
-      "constraints": [
-        {
-          "constraint": "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a detailed planning timeline starting 6 months before the event with weekly milestones. Follow these steps to accomplish your task:\n\nFirst, review the gathered information about the company, event requirements, and constraints from the previous step:\n<gathered_information>\n{{INFORMATION_GATHERING}}\n</gathered_information>\n\nNext, consider the key components of the event that need to be planned, such as venue selection, marketing and communication, team formation, workshops, catering, activities, transportation, registration, safety, vendor management, technology, decorations, entertainment, prizes, post-event evaluation, accessibility, sustainability, and contingency planning.\n\nBreak down the planning process into weekly milestones starting 6 months before the event. Ensure that each milestone is specific, measurable, achievable, relevant, and time-bound (SMART).\n\nHere is a suggested structure for the planning timeline:\n\n**6 Months Before the Event:**\n- Finalize event objectives and key performance indicators (KPIs).\n- Establish the event budget and allocate funds to different categories.\n- Develop a high-level event plan and timeline.\n- Identify and assemble the event planning team.\n- Begin researching and evaluating potential venues.\n\n**5 Months Before the Event:**\n- Select and book the venue.\n- Develop a detailed event schedule and share it with key stakeholders.\n- Create a marketing and communication strategy.\n- Begin designing the event branding and promotional materials.\n- Start planning the team formation strategy.\n\n**4 Months Before the Event:**\n- Send save-the-date announcements to employees.\n- Finalize the event schedule and share it with vendors and participants.\n- Develop the workshop content and identify facilitators.\n- Create a catering plan and send out a pre-event survey for dietary restrictions.\n- Begin planning the icebreaker activities.\n\n**3 Months Before the Event:**\n- Send formal invitations to employees.\n- Finalize the team formation strategy and assign teams.\n- Develop the activity logistics and equipment lists.\n- Create a transportation plan and arrange charter buses if necessary.\n- Design the registration process and set up the online portal.\n\n**2 Months Before the Event:**\n- Send weekly reminder emails to employees.\n- Finalize the catering plan and confirm menu options.\n- Develop the safety plan and evacuation procedures.\n- Create a vendor management strategy and finalize contracts.\n- Design the technology plan and arrange AV equipment.\n\n**1 Month Before the Event:**\n- Send team assignments and welcome packets to employees.\n- Finalize the decoration strategy and order necessary materials.\n- Develop the entertainment plan and book a live band or DJ.\n- Create a prize strategy and order prizes.\n- Finalize the post-event evaluation plan.\n\n**2 Weeks Before the Event:**\n- Conduct a final walkthrough of the venue.\n- Train staff on the registration process and safety protocols.\n- Finalize the accessibility plan and make necessary accommodations.\n- Develop a sustainability plan and implement eco-friendly practices.\n- Create a contingency plan for potential emergencies.\n\n**1 Week Before the Event:**\n- Send a final reminder email to employees.\n- Confirm all vendor arrangements and payment schedules.\n- Finalize the event schedule and share it with participants.\n- Prepare the welcome packets and name tags.\n- Conduct a final review of the event strategy document.\n\nEnsure that the planning timeline is comprehensive and covers all aspects of the event. The timeline should be flexible and allow for adjustments as needed.\n\nFinally, write the detailed planning timeline starting 6 months before the event with weekly milestones. Your answer will serve as basis for the next steps.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "3. Develop a budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget. -",
-      "tag": "BUDGET_BREAKDOWN",
-      "constraints": [
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        }
-      ],
-      "prompt_template": "Your task is to develop a detailed budget breakdown for the corporate team-building event. This budget should include estimates for venue rental, catering, entertainment, transportation, technology, and the total estimated budget.\n\nTo accomplish this, follow these steps:\n\n1. **Review Gathered Information**:\n   First, review the information gathered about the company, event requirements, and constraints. This information will help you understand the scope and specific needs of the event:\n   <gathered_information>\n   {{INFORMATION_GATHERING}}\n   </gathered_information>\n\n2. **Understand Budget Constraints**:\n   The event has specific budget constraints for each category:\n   - **Venue Rental**: $15,000 - $25,000\n   - **Catering**: $75 - $125 per person\n   - **Entertainment and Activities**: $10,000 - $20,000\n   - **Transportation**: $3,000 - $8,000\n   - **Technology**: $5,000 - $10,000\n   - **Total Estimated Budget**: $50,000 - $125,000\n\n3. **Calculate Catering Costs**:\n   The catering cost is per person. The event will have 100-300 employees attending. Calculate the total catering cost based on the number of attendees and the per-person cost.\n\n4. **Estimate Other Costs**:\n   Provide a detailed estimate for each of the remaining categories (venue rental, entertainment, transportation, and technology) within the specified budget ranges.\n\n5. **Summarize Total Estimated Budget**:\n   Add up the estimated costs for each category to provide a total estimated budget for the event. Ensure that the total estimated budget falls within the specified range of $50,000 - $125,000.\n\n6. **Provide Detailed Breakdown**:\n   Present the budget breakdown in a clear and organized manner. Include the following information for each category:\n   - **Category**: Name of the budget category (e.g., Venue Rental)\n   - **Estimated Cost**: The estimated cost for that category\n   - **Notes**: Any additional notes or considerations for that category\n\n7. **Review and Adjust**:\n   Review your budget breakdown to ensure it is accurate and aligns with the event's requirements and constraints. Make any necessary adjustments to ensure the total estimated budget is within the specified range.\n\n8. **Final Answer**:\n   Provide the detailed budget breakdown as your final answer. Ensure it is clear, concise, and adheres to the specified budget constraints.\n\nExample Format:\n- **Venue Rental**: $20,000\n  - Notes: Includes rental fee for the venue and basic setup.\n- **Catering**: $25,000\n  - Notes: Based on 200 attendees at $125 per person.\n- **Entertainment and Activities**: $15,000\n  - Notes: Includes costs for activities and entertainment.\n- **Transportation**: $5,000\n  - Notes: Includes charter buses and shuttle service.\n- **Technology**: $7,000\n  - Notes: Includes AV equipment, WiFi, and tech support.\n- **Total Estimated Budget**: $72,000",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "4. Design a marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods. -",
-      "tag": "MARKETING_STRATEGY",
-      "constraints": [
-        {
-          "constraint": "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a comprehensive marketing and communication strategy for a corporate team-building event. This strategy should ensure effective engagement and participation from all employees. Follow these steps to accomplish your task:\n\n1. **Review Gathered Information**:\n   Begin by reviewing the information gathered about the company, event requirements, and constraints. This will help you tailor the marketing and communication strategy to the specific needs and preferences of the employees:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Understand the Planning Timeline**:\n   Familiarize yourself with the planning timeline to ensure that all marketing and communication activities are scheduled appropriately. This will help you create a timeline for save-the-date announcements, formal invitations, reminder emails, and internal campaigns:\n   <planning_timeline>\n   {{PLANNING_TIMELINE}}\n   </planning_timeline>\n\n3. **Budget Considerations**:\n   Consider the budget breakdown to ensure that the marketing and communication strategy is cost-effective and aligns with the overall budget for the event:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n4. **Develop the Marketing and Communication Strategy**:\n   Create a detailed marketing and communication strategy that includes the following components:\n\n   - **Save-the-Date Announcements**:\n     Plan to send save-the-date announcements 4 months in advance. These announcements should be sent via email and should include the event date, purpose, and a brief overview of what to expect.\n\n   - **Formal Invitations**:\n     Design formal invitations to be sent 2 months before the event. These invitations should include detailed information about the event schedule, dress code, and any specific instructions or requirements.\n\n   - **Weekly Reminder Emails**:\n     Schedule weekly reminder emails leading up to the event. These emails should provide updates, reminders, and any additional information that may be relevant to the participants.\n\n   - **Internal Campaigns**:\n     Develop internal campaigns to build excitement and engagement. These campaigns can include posters, flyers, and announcements on internal communication platforms.\n\n   - **Dedicated Slack Channel**:\n     Create a dedicated Slack channel for event-related discussions, updates, and announcements. This channel will serve as a central hub for all event-related communication.\n\n   - **Executive Videos**:\n     Plan to create and share videos featuring executive messages about the event. These videos can be shared via email, internal communication platforms, and the dedicated Slack channel.\n\n   - **Mobile Event App**:\n     Develop a mobile event app that provides participants with access to the event schedule, maps, speaker information, and other relevant details. The app should also include features for messaging and networking.\n\n5. **Ensure Consistency and Clarity**:\n   Ensure that all marketing and communication materials are consistent in tone, style, and branding. This will help create a cohesive and professional image for the event.\n\n6. **Review and Finalize**:\n   Review the marketing and communication strategy to ensure that it meets all the requirements and aligns with the overall event goals. Make any necessary adjustments and finalize the strategy.\n\nYour final answer should be a detailed marketing and communication strategy document that includes all the components mentioned above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN"
-      ]
-    },
-    {
-      "subtask": "5. Develop a venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness. -",
-      "tag": "VENUE_SELECTION",
-      "constraints": [
-        {
-          "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive venue selection process to evaluate and select the best venue for the corporate team-building event. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   Review the gathered information about the company and event requirements, including the need to accommodate 100-300 employees. Ensure the venue selection process aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n\n2. **Define Evaluation Criteria**:\n   Based on the event requirements, define the key criteria for evaluating potential venues. The criteria should include:\n   - **Capacity**: Ability to accommodate 100-300 people.\n   - **Accessibility**: Ease of access for all attendees, including those with disabilities.\n   - **Parking**: Adequate parking facilities for attendees and staff.\n   - **Indoor/Outdoor Space**: Availability of both indoor and outdoor spaces for various activities.\n   - **AV Capabilities**: Sufficient audio-visual equipment and support.\n   - **WiFi**: Reliable WiFi for 300+ devices.\n   - **Catering Facilities**: Ability to support breakfast, lunch, afternoon snacks, and dinner.\n   - **Accommodations**: Proximity to accommodations for out-of-town attendees, if necessary.\n   - **Cost-Effectiveness**: Budget-friendly options within the estimated budget of $15,000-25,000.\n\n3. **Research Potential Venues**:\n   Identify at least 10 potential venues that meet the initial criteria. Gather detailed information about each venue, including:\n   - Location and contact information.\n   - Capacity and layout.\n   - Availability of required facilities and services.\n   - Cost estimates for rental and additional services.\n\n4. **Create Evaluation Forms**:\n   Develop evaluation forms to systematically assess each venue against the defined criteria. The forms should include:\n   - Checklists for each criterion.\n   - Rating scales for subjective assessments.\n   - Space for notes and additional comments.\n\n5. **Conduct Venue Visits or Virtual Tours**:\n   Schedule visits or virtual tours of the shortlisted venues. During the visits, evaluate:\n   - The overall ambiance and suitability for the event.\n   - The condition and functionality of facilities.\n   - The responsiveness and professionalism of the venue staff.\n\n6. **Compare and Contrast Venues**:\n   Use the evaluation forms to compare and contrast the venues. Create a summary table or matrix that highlights the strengths and weaknesses of each venue based on the defined criteria.\n\n7. **Select the Best Venue**:\n   Based on the evaluations, select the venue that best meets the event requirements and aligns with the budget. Consider factors such as overall value, flexibility, and the ability to create a memorable experience for attendees.\n\n8. **Document the Selection Process**:\n   Prepare a detailed report documenting the venue selection process. The report should include:\n   - The defined evaluation criteria.\n   - The list of potential venues and their evaluations.\n   - The comparison and contrast of venues.\n   - The rationale for selecting the final venue.\n\n9. **Finalize Venue Contract**:\n   Work with the selected venue to finalize the contract, ensuring all agreed-upon terms and conditions are clearly outlined. Include details such as:\n   - Rental costs and payment schedules.\n   - Cancellation policies.\n   - Additional services and their costs.\n\n10. **Integrate with Overall Event Plan**:\n    Ensure the selected venue aligns with the overall event strategy document. Coordinate with other event planning components, such as catering, transportation, and technology, to ensure seamless integration.\n\nBy following these steps, you will develop a thorough and effective venue selection process that meets the event's requirements and contributes to its success.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "6. Design a detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment. -",
-      "tag": "EVENT_SCHEDULE",
-      "constraints": [
-        {
-          "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a detailed event schedule from 8:00 AM to 8:00 PM for a corporate team-building event. The schedule should include the following key components:\n\n1. **Registration and Breakfast (8:00 - 9:00 AM)**\n   - Plan for registration process and breakfast setup.\n   - Include details on coffee stations, pastries, and any other breakfast items.\n\n2. **Opening Ceremony (9:00 - 9:30 AM)**\n   - Outline the opening ceremony, including the CEO's speech.\n   - Include any additional opening activities or announcements.\n\n3. **Icebreaker Activities (9:30 - 10:30 AM)**\n   - Plan for icebreaker activities such as human bingo and speed networking.\n   - Include any necessary setup or facilitation details.\n\n4. **Morning Workshops (10:30 AM - 12:30 PM)**\n   - Design tracks on leadership, innovation, communication, and wellness.\n   - Include details on workshop content, facilitators, and any required materials.\n\n5. **Lunch (12:30 - 2:00 PM)**\n   - Plan for lunch with diverse menu options.\n   - Include details on catering setup, dietary restrictions, and any special considerations.\n\n6. **Afternoon Team Challenges (2:00 - 5:00 PM)**\n   - Plan for team challenges such as scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments.\n   - Include details on equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n\n7. **Awards Ceremony (5:00 - 5:30 PM)**\n   - Plan for the awards ceremony, including any necessary setup or facilitation details.\n   - Include details on award categories, presentation, and any additional activities.\n\n8. **Dinner with Entertainment (5:30 - 8:00 PM)**\n   - Plan for dinner with three entree choices and a full bar.\n   - Include details on entertainment such as live band or DJ, emcee, interactive activities, and evening games.\n\nTo accomplish this task, follow these steps:\n\n1. **Review Gathered Information**:\n   - Carefully review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Review Planning Timeline**:\n   - Review the planning timeline starting 6 months before the event with weekly milestones from the previous step:\n   <planning_timeline>\n   {{PLANNING_TIMELINE}}\n   </planning_timeline>\n\n3. **Review Budget Breakdown**:\n   - Review the budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget from the previous step:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n4. **Review Marketing Strategy**:\n   - Review the marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods from the previous step:\n   <marketing_strategy>\n   {{MARKETING_STRATEGY}}\n   </marketing_strategy>\n\n5. **Review Venue Selection**:\n   - Review the venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness from the previous step:\n   <venue_selection>\n   {{VENUE_SELECTION}}\n   </venue_selection>\n\n6. **Design the Event Schedule**:\n   - Use the information gathered in the previous steps to design a detailed event schedule from 8:00 AM to 8:00 PM.\n   - Ensure the schedule includes all the key components mentioned above.\n   - Make sure the schedule is realistic, feasible, and aligns with the event's goals and constraints.\n\n7. **Finalize the Schedule**:\n   - Review the designed event schedule to ensure it meets all the requirements and constraints.\n   - Make any necessary adjustments to ensure the schedule is comprehensive and detailed.\n\n8. **Output the Event Schedule**:\n   - Provide the detailed event schedule as your final answer. Ensure the output is clear, concise, and well-organized.\n\nRemember to adhere to the event's goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories. Ensure the schedule is inclusive, accessible, and sustainable, following best practices and leveraging technology where appropriate.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENUE_SELECTION"
-      ]
-    },
-    {
-      "subtask": "7. Create a list of 15 icebreaker activities with detailed plans. -",
-      "tag": "ICEBREAKER_PLANS",
-      "constraints": [
-        {
-          "constraint": "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a list of 15 icebreaker activities with detailed plans for a corporate team-building event. These activities should be engaging, inclusive, and designed to foster team cohesion and collaboration among 100-300 employees.\n\nTo approach this task, follow these steps:\n\n1. **Understand the Event Context**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Review the Event Schedule**:\n   Ensure that the icebreaker activities align with the event schedule, particularly the time slot allocated for icebreaker activities from 9:30 AM to 10:30 AM:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **List of Icebreaker Activities**:\n   Create a list of 15 icebreaker activities. Each activity should include the following details:\n   - **Activity Name**: A clear and descriptive title.\n   - **Objective**: The purpose of the activity and how it contributes to team-building.\n   - **Materials Needed**: A list of any equipment or materials required.\n   - **Setup Instructions**: Step-by-step instructions for setting up the activity.\n   - **Instructions for Participants**: Clear guidelines on how to participate.\n   - **Duration**: The estimated time required for the activity.\n   - **Facilitator Notes**: Any special instructions or tips for the facilitator.\n   - **Safety Protocols**: Any safety considerations or guidelines.\n   - **Scoring System (if applicable)**: How the activity will be scored or evaluated.\n   - **Rotation Schedule (if applicable)**: How the activity will be rotated among teams.\n\n4. **Diverse and Inclusive Activities**:\n   Ensure that the activities are diverse and inclusive, catering to different personalities, abilities, and preferences. Consider activities that can be adapted for various team sizes and dynamics.\n\n5. **Engaging and Fun**:\n   The activities should be engaging and fun, designed to create a positive and memorable experience for all participants.\n\n6. **Alignment with Event Goals**:\n   Ensure that the activities align with the overall goals of the event, which include strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n\nHere is an example structure to guide your writing:\n- **Activity 1: Human Knot**\n  - **Objective**: Promote teamwork and problem-solving.\n  - **Materials Needed**: None.\n  - **Setup Instructions**: Have participants stand in a circle.\n  - **Instructions for Participants**: Each person must hold hands with two people across from them to form a \"human knot.\"\n  - **Duration**: 15-20 minutes.\n  - **Facilitator Notes**: Encourage communication and teamwork.\n  - **Safety Protocols**: Ensure participants are careful not to pull too hard.\n  - **Scoring System**: Not applicable.\n  - **Rotation Schedule**: Not applicable.\n\nRepeat the above structure for all 15 icebreaker activities.\n\nEnsure that each activity is clearly described and includes all the necessary details for successful execution.\n\nFinally, compile the list of 15 icebreaker activities with detailed plans into a comprehensive document.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "8. Develop a team formation strategy with diverse mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event. -",
-      "tag": "TEAM_FORMATION",
-      "constraints": [
-        {
-          "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a team formation strategy for a corporate team-building event. This strategy should ensure a diverse mix of departments and seniority levels, accommodate dietary restrictions, and assign teams two weeks before the event.\n\nTo accomplish this, follow these steps:\n\n1. **Understand the Event Requirements**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Diverse Team Formation**:\n   Create a strategy to form teams with a diverse mix of departments and seniority levels. Each team should consist of 8-12 people. Ensure that the teams are balanced in terms of experience, roles, and departments to foster collaboration and learning.\n\n3. **Pre-Event Survey**:\n   Design a pre-event survey to collect information about dietary restrictions and preferences from all participants. This survey should be distributed at least one month before the event to allow sufficient time for planning.\n\n4. **Team Assignments**:\n   Develop a process for assigning participants to teams. This process should consider the survey responses regarding dietary restrictions and ensure that teams are formed in a way that accommodates these needs. Team assignments should be communicated to participants two weeks before the event.\n\n5. **Team Identification**:\n   Assign unique names and colors to each team to facilitate easy identification and foster team spirit. Ensure that the names and colors are inclusive and appropriate for all participants.\n\n6. **Communication Plan**:\n   Outline a communication plan for informing participants about their team assignments, including the team name, color, and any other relevant information. This plan should include the distribution of team assignments and any follow-up communications.\n\n7. **Documentation**:\n   Document the team formation strategy, including the criteria used for team formation, the survey questions, the process for assigning teams, and the communication plan. This documentation will be included in the comprehensive event strategy document.\n\nEnsure that your strategy aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "9. Design content for leadership, innovation, communication, and wellness workshops. -",
-      "tag": "WORKSHOP_CONTENT",
-      "constraints": [
-        {
-          "constraint": "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design content for leadership, innovation, communication, and wellness workshops as part of the corporate team-building event. Follow these steps to accomplish your task:\n\n1. **Understand the Workshop Requirements**:\n   - The workshops should focus on four key areas: leadership, innovation, communication, and wellness.\n   - Each workshop should be engaging, informative, and relevant to the attendees, who are employees from various departments and seniority levels.\n   - The workshops should align with the overall goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.\n\n2. **Review Gathered Information**:\n   - Use the information gathered in the previous steps to understand the company's needs, event requirements, and constraints:\n     <information_gathering>\n     {{INFORMATION_GATHERING}}\n     </information_gathering>\n\n3. **Design Leadership Workshop Content**:\n   - Create a workshop that focuses on leadership case studies, practical exercises, and group discussions.\n   - Include real-world examples and interactive activities that encourage participants to apply leadership principles.\n   - Ensure the content is relevant to both current leaders and those aspiring to leadership roles.\n\n4. **Design Innovation Workshop Content**:\n   - Develop a workshop that emphasizes innovation brainstorming, creative problem-solving, and idea generation.\n   - Incorporate activities that encourage out-of-the-box thinking and collaboration.\n   - Provide tools and techniques that participants can use to foster innovation within their teams.\n\n5. **Design Communication Workshop Content**:\n   - Create a workshop that covers effective communication strategies, active listening, and conflict resolution.\n   - Include exercises that help participants practice clear and concise communication.\n   - Address both verbal and non-verbal communication skills.\n\n6. **Design Wellness Workshop Content**:\n   - Develop a workshop that focuses on wellness meditation, stress management, and work-life balance.\n   - Incorporate activities that promote physical and mental well-being.\n   - Provide practical tips and techniques that participants can integrate into their daily routines.\n\n7. **Ensure Alignment with Event Schedule**:\n   - Refer to the detailed event schedule to ensure the workshops fit within the allocated time slots:\n     <event_schedule>\n     {{EVENT_SCHEDULE}}\n     </event_schedule>\n\n8. **Consider Team Formation Strategy**:\n   - Take into account the team formation strategy to ensure the workshops cater to diverse groups:\n     <team_formation>\n     {{TEAM_FORMATION}}\n     </team_formation>\n\n9. **Create Detailed Workshop Plans**:\n   - For each workshop, provide a detailed plan that includes:\n     - Objectives and learning outcomes\n     - Agenda and timeline\n     - Materials and resources needed\n     - Facilitator guidelines\n     - Participant activities and exercises\n     - Evaluation methods\n\n10. **Review and Finalize**:\n    - Ensure the workshop content aligns with the overall event goals and constraints.\n    - Make any necessary adjustments to ensure the workshops are engaging, informative, and relevant to the attendees.\n\nYour final answer should be a detailed plan for each of the four workshops, including all the elements listed above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE",
-        "TEAM_FORMATION"
-      ]
-    },
-    {
-      "subtask": "10. Create a detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options. -",
-      "tag": "CATERING_PLAN",
-      "constraints": [
-        {
-          "constraint": "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        }
-      ],
-      "prompt_template": "Your task is to create a detailed catering plan for the corporate team-building event. The catering plan should include options for breakfast, lunch, afternoon snacks, and dinner, ensuring a diverse menu that accommodates various dietary restrictions and preferences.\n\nTo approach this task, follow these steps:\n\n1. **Review Gathered Information**:\n   Begin by reviewing the information gathered about the company and event requirements:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Understand the Event Schedule**:\n   Familiarize yourself with the event schedule to ensure the catering plan aligns with the timing of meals and breaks:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **Consider Dietary Restrictions**:\n   Use the team formation strategy, which includes a pre-event survey for dietary restrictions and preferences, to ensure the catering plan accommodates all attendees:\n   <team_formation>\n   {{TEAM_FORMATION}}\n   </team_formation>\n\n4. **Breakfast Options**:\n   Plan a breakfast menu that includes a coffee station and pastries. Ensure there are options for different dietary needs, such as gluten-free, vegan, and lactose-free choices.\n\n5. **Lunch Options**:\n   Design a lunch buffet with a variety of options, including a salad bar and hot entrees. Provide diverse menu choices to cater to different tastes and dietary restrictions.\n\n6. **Afternoon Snacks**:\n   Plan for afternoon snacks that are light and refreshing. Consider options like fruits, vegetables, and healthy snacks to keep energy levels up during the event.\n\n7. **Dinner Options**:\n   Create a dinner menu with three entree choices and a full bar. Ensure there are options for different dietary needs and preferences, such as vegetarian, vegan, and gluten-free choices.\n\n8. **Allergen Labeling**:\n   Include allergen labeling for all food items to ensure the safety and well-being of all attendees.\n\n9. **Sustainability Considerations**:\n   Incorporate sustainable practices into the catering plan, such as using reusable serving ware and minimizing food waste.\n\n10. **Budget Constraints**:\n    Ensure the catering plan stays within the budget constraints outlined in the budget breakdown:\n    <budget_breakdown>\n    {{BUDGET_BREAKDOWN}}\n    </budget_breakdown>\n\n11. **Finalize the Catering Plan**:\n    Compile all the information into a detailed catering plan that includes timings, menu options, and any special considerations.\n\nYour final answer should be a comprehensive catering plan that meets all the requirements and constraints of the event.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE",
-        "TEAM_FORMATION",
-        "BUDGET_BREAKDOWN"
-      ]
-    },
-    {
-      "subtask": "11. Develop logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules. -",
-      "tag": "ACTIVITY_LOGISTICS",
-      "constraints": [
-        {
-          "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop detailed logistics for all planned activities for the corporate team-building event. This includes creating equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n\nTo approach this task, follow these steps:\n\n1. **Review the Event Schedule and Activity Plans**:\n   - Carefully review the event schedule and the list of planned activities from the previous steps. These include icebreaker activities, workshops, team challenges, and other events.\n   - Ensure you have a clear understanding of the timeline and the sequence of activities.\n\n2. **Create Equipment Lists**:\n   - For each activity, identify the necessary equipment and materials required.\n   - Ensure that the equipment lists are comprehensive and include all items needed for smooth execution.\n\n3. **Develop Setup Instructions**:\n   - Provide detailed setup instructions for each activity.\n   - Include information on how to arrange the space, set up equipment, and prepare the area for participants.\n\n4. **Establish Safety Protocols**:\n   - Develop safety protocols for each activity to ensure the well-being of all participants.\n   - Include guidelines for emergency procedures, first aid, and any specific safety measures related to the activity.\n\n5. **Prepare Facilitator Guides**:\n   - Create facilitator guides that outline the roles and responsibilities of the activity facilitators.\n   - Include step-by-step instructions, tips for engaging participants, and any other relevant information.\n\n6. **Design Scoring Systems**:\n   - For competitive activities, design scoring systems that are fair and transparent.\n   - Ensure that the scoring criteria are clearly communicated to all participants.\n\n7. **Plan Rotation Schedules**:\n   - Develop rotation schedules for activities that involve multiple groups or teams.\n   - Ensure that the schedules are efficient and allow for smooth transitions between activities.\n\n8. **Integrate with Other Plans**:\n   - Ensure that the activity logistics align with the catering plan, transportation plan, and other relevant aspects of the event.\n   - Coordinate with the technology plan to ensure that any necessary AV equipment or WiFi access is available.\n\n9. **Review and Finalize**:\n   - Review all the logistics plans to ensure they are comprehensive and practical.\n   - Make any necessary adjustments to ensure that the activities run smoothly and safely.\n\nHere is an example structure to guide your writing:\n- **Activity Name**: [Name of the activity]\n- **Equipment List**: [List of required equipment]\n- **Setup Instructions**: [Detailed setup instructions]\n- **Safety Protocols**: [Safety guidelines and emergency procedures]\n- **Facilitator Guide**: [Roles and responsibilities, step-by-step instructions]\n- **Scoring System**: [Scoring criteria and guidelines]\n- **Rotation Schedule**: [Schedule for team rotations]\n\nEnsure that each section is clearly outlined and provides all necessary information for the successful execution of the activity.\n\nFinally, compile all the logistics plans into a detailed document that can be easily referenced during the event planning and execution phases.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "12. Create a transportation plan with charter buses, parking management, shuttle service, and contingency plans. -",
-      "tag": "TRANSPORTATION_PLAN",
-      "constraints": [
-        {
-          "constraint": "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a comprehensive transportation plan for the corporate team-building event. This plan should include charter buses, parking management, shuttle service, and contingency plans. Follow these steps to accomplish your task:\n\n1. **Review Gathered Information**:\n   Start by reviewing the information gathered about the company, event requirements, and constraints. This will help you understand the specific needs and logistics of the event:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Understand the Event Schedule**:\n   Familiarize yourself with the detailed event schedule to ensure that the transportation plan aligns with the timing and logistics of the event:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **Develop Charter Bus Plan**:\n   Create a plan for charter buses that includes:\n   - Number of buses required based on the number of attendees.\n   - Pick-up and drop-off locations.\n   - Schedule for bus arrivals and departures.\n   - Cost estimates and budget considerations.\n\n4. **Design Parking Management Plan**:\n   Develop a parking management plan that includes:\n   - Availability of parking spaces at the venue.\n   - Designated parking areas for attendees, staff, and vendors.\n   - Parking fees and payment methods.\n   - Accessibility considerations for attendees with disabilities.\n\n5. **Create Shuttle Service Plan**:\n   Outline a shuttle service plan that includes:\n   - Routes and schedules for shuttles.\n   - Pick-up and drop-off points.\n   - Frequency of shuttle services.\n   - Cost estimates and budget considerations.\n\n6. **Develop Contingency Plans**:\n   Prepare contingency plans for potential issues such as:\n   - Weather-related delays or cancellations.\n   - Mechanical failures of buses or shuttles.\n   - Unexpected changes in attendee numbers.\n   - Alternative transportation options in case of emergencies.\n\n7. **Integrate with Other Logistics**:\n   Ensure that the transportation plan is integrated with other event logistics, such as registration, catering, and activities. This will help ensure a smooth and coordinated event experience.\n\n8. **Finalize the Transportation Plan**:\n   Compile all the information into a detailed transportation plan that includes all the elements mentioned above. Ensure that the plan is clear, organized, and easy to follow.\n\nYour final answer should be a comprehensive transportation plan that addresses all the requirements and considerations mentioned above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "13. Design a registration process with online portal, on-site check-in, name tags, welcome packets, and staff training. -",
-      "tag": "REGISTRATION_PROCESS",
-      "constraints": [
-        {
-          "constraint": "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a comprehensive registration process for the corporate team-building event. This process should include an online portal, on-site check-in, name tags, welcome packets, and staff training. Follow these steps to accomplish your task:\n\n1. **Online Portal**:\n    - Design an online registration portal that allows employees to register for the event.\n    - Ensure the portal collects necessary information such as name, department, dietary restrictions, and any special needs.\n    - Include a confirmation email feature that sends registration details and event information to participants.\n\n2. **On-Site Check-In**:\n    - Develop a streamlined on-site check-in process to ensure smooth and efficient entry for all attendees.\n    - Plan for check-in stations with clear signage and trained staff to assist participants.\n    - Consider using technology such as QR codes or barcode scanners to expedite the check-in process.\n\n3. **Name Tags**:\n    - Design and prepare name tags for all attendees.\n    - Include the participant's name, department, and any additional information that may be relevant (e.g., dietary restrictions, accessibility needs).\n    - Ensure name tags are durable, easy to read, and can be worn comfortably throughout the event.\n\n4. **Welcome Packets**:\n    - Create welcome packets that include essential event information such as the schedule, map of the venue, and any necessary forms or documents.\n    - Include a welcome letter from the event organizers or company executives.\n    - Add promotional items or swag to the packets to enhance the participant experience.\n\n5. **Staff Training**:\n    - Develop a training program for event staff to ensure they are prepared to handle registration, check-in, and any issues that may arise.\n    - Train staff on the use of the online portal, check-in technology, and how to assist participants with special needs.\n    - Conduct mock drills to simulate the registration process and identify any potential issues or areas for improvement.\n\n6. **Integration with Other Plans**:\n    - Ensure the registration process aligns with the overall event schedule, transportation plan, and safety plan.\n    - Coordinate with the technology plan to integrate any necessary tech solutions for registration and check-in.\n    - Consider the accessibility plan to ensure the registration process is inclusive and accommodates all participants.\n\n7. **Contingency Planning**:\n    - Develop a contingency plan for potential issues such as technical difficulties with the online portal, high check-in volumes, or last-minute registrations.\n    - Ensure staff are trained to handle these scenarios and have backup plans in place.\n\n8. **Review and Finalize**:\n    - Review the registration process to ensure it meets all requirements and aligns with the event's goals.\n    - Make any necessary adjustments and finalize the registration process.\n\nUse the information gathered in the previous steps to guide your design. Ensure the registration process is user-friendly, efficient, and aligns with the overall event strategy.\n\n<information_gathering>\n{{INFORMATION_GATHERING}}\n</information_gathering>\n\n<planning_timeline>\n{{PLANNING_TIMELINE}}\n</planning_timeline>\n\n<budget_breakdown>\n{{BUDGET_BREAKDOWN}}\n</budget_breakdown>\n\n<marketing_strategy>\n{{MARKETING_STRATEGY}}\n</marketing_strategy>\n\n<venue_selection>\n{{VENUE_SELECTION}}\n</venue_selection>\n\n<event_schedule>\n{{EVENT_SCHEDULE}}\n</event_schedule>\n\n<icebreaker_plans>\n{{ICEBREAKER_PLANS}}\n</icebreaker_plans>\n\n<team_formation>\n{{TEAM_FORMATION}}\n</team_formation>\n\n<workshop_content>\n{{WORKSHOP_CONTENT}}\n</workshop_content>\n\n<catering_plan>\n{{CATERING_PLAN}}\n</catering_plan>\n\n<activity_logistics>\n{{ACTIVITY_LOGISTICS}}\n</activity_logistics>\n\n<transportation_plan>\n{{TRANSPORTATION_PLAN}}\n</transportation_plan>",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENUE_SELECTION",
-        "EVENT_SCHEDULE",
-        "ICEBREAKER_PLANS",
-        "TEAM_FORMATION",
-        "WORKSHOP_CONTENT",
-        "CATERING_PLAN",
-        "ACTIVITY_LOGISTICS",
-        "TRANSPORTATION_PLAN"
-      ]
-    },
-    {
-      "subtask": "14. Develop a comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting. -",
-      "tag": "SAFETY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive safety plan for the corporate team-building event. This plan should ensure the safety and well-being of all participants and staff. Follow these steps to accomplish your task:\n\n1. **Understand the Event Details**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Identify Key Safety Components**:\n   The safety plan should include the following components:\n   - **Insurance**: Ensure that the event has adequate insurance coverage for all activities and participants.\n   - **First Aid Stations**: Plan for the setup of first aid stations at strategic locations within the venue.\n   - **Evacuation Procedures**: Develop clear evacuation procedures in case of emergencies.\n   - **Weather Contingencies**: Prepare contingency plans for adverse weather conditions.\n   - **Food Safety**: Implement food safety measures, including allergen labeling and proper handling procedures.\n   - **Security Personnel**: Arrange for security personnel to be present throughout the event.\n   - **Incident Reporting**: Establish a system for reporting and managing incidents during the event.\n\n3. **Create Detailed Plans for Each Component**:\n   - **Insurance**: Specify the type and amount of insurance required, and ensure that all vendors and participants are covered.\n   - **First Aid Stations**: Determine the number and location of first aid stations, and ensure that they are staffed by qualified medical personnel.\n   - **Evacuation Procedures**: Develop a clear and concise evacuation plan, including designated assembly points and communication protocols.\n   - **Weather Contingencies**: Prepare alternative plans for outdoor activities in case of bad weather, including indoor alternatives and rescheduling options.\n   - **Food Safety**: Work with caterers to ensure that all food is prepared and served safely, with clear labeling of allergens.\n   - **Security Personnel**: Hire and brief security personnel on their roles and responsibilities, including crowd control and emergency response.\n   - **Incident Reporting**: Create a system for reporting incidents, including forms and protocols for documenting and addressing issues.\n\n4. **Review and Finalize the Safety Plan**:\n   Ensure that the safety plan is comprehensive and addresses all potential risks and contingencies. Make any necessary adjustments to ensure that the plan is practical and effective.\n\n5. **Output the Safety Plan**:\n   Provide the detailed safety plan as your final answer. The plan should be clear, concise, and easy to follow, ensuring that all safety measures are in place for a successful event.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "15. Create a vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms. -",
-      "tag": "VENDOR_MANAGEMENT",
-      "constraints": [
-        {
-          "constraint": "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a comprehensive vendor management strategy for the corporate team-building event. This strategy should include selection criteria, contracts, payment schedules, and evaluation forms. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Define Selection Criteria**:\n   Develop a set of selection criteria for vendors. Consider factors such as:\n   - Experience and reputation\n   - Cost-effectiveness\n   - Availability and capacity\n   - Quality of services or products\n   - Compatibility with event goals and values\n   - Sustainability practices\n   - Customer reviews and references\n\n3. **Create Contract Templates**:\n   Design standard contract templates that outline:\n   - Scope of work\n   - Deliverables\n   - Timeline and milestones\n   - Payment terms\n   - Cancellation and refund policies\n   - Liability and insurance requirements\n   - Confidentiality and data protection clauses\n\n4. **Develop Payment Schedules**:\n   Establish payment schedules for each vendor category (e.g., venue rental, catering, entertainment, transportation, technology). Consider:\n   - Deposit amounts and due dates\n   - Progress payments tied to milestones\n   - Final payments upon completion\n   - Payment methods and invoicing procedures\n\n5. **Design Evaluation Forms**:\n   Create evaluation forms to assess vendor performance. Include sections for:\n   - Quality of services or products\n   - Timeliness and reliability\n   - Professionalism and communication\n   - Adherence to budget and contract terms\n   - Customer feedback and satisfaction\n   - Recommendations for future events\n\n6. **Compile the Vendor Management Strategy**:\n   Combine all the above elements into a cohesive vendor management strategy document. Ensure it is clear, detailed, and aligned with the event's goals and constraints.\n\nYour final answer should be a comprehensive vendor management strategy document that includes selection criteria, contract templates, payment schedules, and evaluation forms.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "16. Design a technology plan with event app, AV equipment, WiFi, photography services, live streaming, and tech support. -",
-      "tag": "TECHNOLOGY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a comprehensive technology plan for the corporate team-building event. This plan should ensure seamless integration of technology to enhance the event experience, facilitate smooth operations, and support all planned activities.\n\nTo accomplish this, follow these steps:\n\n1. **Event App**:\n    - Design an event app that will serve as a central hub for scheduling, messaging, and real-time updates.\n    - Include features such as personalized schedules, team assignments, interactive maps, and push notifications.\n    - Ensure the app is user-friendly and accessible on both iOS and Android platforms.\n\n2. **AV Equipment**:\n    - Plan for all necessary audio-visual equipment, including microphones, speakers, projectors, and screens.\n    - Ensure that the AV setup is compatible with the venue's infrastructure and meets the requirements for presentations, workshops, and the opening ceremony.\n\n3. **WiFi**:\n    - Arrange for robust WiFi coverage capable of supporting 300+ devices simultaneously.\n    - Work with the venue and internet service providers to ensure reliable connectivity throughout the event.\n\n4. **Photography Services**:\n    - Hire professional photographers to capture key moments during the event.\n    - Plan for photo backdrops, designated photo areas, and a system for sharing photos with participants post-event.\n\n5. **Live Streaming**:\n    - Set up live streaming capabilities for any sessions that need to be broadcast to remote participants or recorded for future reference.\n    - Ensure high-quality video and audio streaming with minimal latency.\n\n6. **Tech Support**:\n    - Assign a dedicated tech support team to troubleshoot any issues that arise during the event.\n    - Provide clear contact information and a quick response protocol for technical difficulties.\n\n7. **Integration with Other Plans**:\n    - Coordinate with the marketing and communication strategy to ensure the event app and other technology tools are promoted effectively.\n    - Align with the registration process to integrate the event app with the online portal and on-site check-in.\n\n8. **Safety and Contingency**:\n    - Include backup plans for technology failures, such as alternative AV setups and backup internet connections.\n    - Ensure that all technology plans comply with the safety plan and contingency planning.\n\n9. **Budget Considerations**:\n    - Estimate the costs for each technology component and ensure they fit within the overall budget.\n    - Prioritize cost-effective solutions that meet the event's requirements without compromising quality.\n\n10. **Documentation**:\n    - Create detailed documentation for each technology component, including setup instructions, user guides, and troubleshooting tips.\n    - Share this documentation with relevant stakeholders, including event staff, vendors, and participants.\n\nUse the gathered information and previous steps to inform your technology plan. Ensure that all technology solutions are scalable, reliable, and enhance the overall event experience.\n\nFinally, compile your technology plan into a clear and concise document that can be integrated into the comprehensive event strategy document.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "17. Develop a decoration strategy with signage, team colors, photo backdrops, and sustainable options. -",
-      "tag": "DECORATION_STRATEGY",
-      "constraints": [
-        {
-          "constraint": "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive decoration strategy for the corporate team-building event. This strategy should focus on creating an engaging and visually appealing environment that aligns with the event's goals and themes. Follow these steps to accomplish your task:\n\n1. **Understand the Event Requirements**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Review the Event Schedule and Theme**:\n   Ensure that the decoration strategy aligns with the event schedule and overall theme. Refer to the event schedule and other relevant plans:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n3. **Develop Signage Strategy**:\n   Create a plan for signage that includes:\n   - Welcome signs at the entrance\n   - Directional signs for different event areas\n   - Informational signs for activities and workshops\n   - Team identification signs\n   Ensure that all signage is clear, visually appealing, and consistent with the event's branding.\n\n4. **Design Team Colors and Identification**:\n   Develop a strategy for using team colors to identify different teams. This can include:\n   - Color-coded name tags and lanyards\n   - Team-specific decorations and signage\n   - Color-coordinated table settings and seating arrangements\n   Ensure that the team colors are easily distinguishable and contribute to a cohesive visual theme.\n\n5. **Create Photo Backdrops**:\n   Design photo backdrops that are visually appealing and align with the event's theme. Consider:\n   - Themed backdrops for different event areas\n   - Customizable backdrops that can be personalized with team names or slogans\n   - Backdrops that incorporate the company's branding and colors\n   Ensure that the photo backdrops are easily accessible and encourage participants to take photos.\n\n6. **Incorporate Sustainable Options**:\n   Develop a strategy for incorporating sustainable decoration options. This can include:\n   - Using reusable or recyclable materials\n   - Choosing eco-friendly signage and backdrops\n   - Implementing digital signage where possible\n   - Ensuring proper waste management and recycling practices\n   Ensure that the sustainable options are practical and do not compromise the visual appeal of the decorations.\n\n7. **Review and Finalize the Strategy**:\n   Ensure that the decoration strategy is comprehensive and aligns with the event's goals and requirements. Make any necessary adjustments to ensure that the strategy is practical and effective.\n\nFinally, write the decoration strategy document that includes all the above elements. This document will serve as a guide for implementing the decoration strategy during the event.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "18. Create an entertainment plan with live band or DJ, emcee, interactive activities, and evening games. -",
-      "tag": "ENTERTAINMENT_PLAN",
-      "constraints": [
-        {
-          "constraint": "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create an entertainment plan for the corporate team-building event. The plan should include a live band or DJ, an emcee, interactive activities, and evening games. Follow these steps to accomplish your task:\n\n1. **Review the Event Schedule**:\n   Ensure that the entertainment plan aligns with the event schedule. You can refer to the event schedule from the previous step:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n2. **Select Entertainment Options**:\n   Choose between a live band or a DJ for the event. Consider the preferences of the attendees and the overall theme of the event. Additionally, decide on an emcee who will guide the event and engage the audience.\n\n3. **Plan Interactive Activities**:\n   Develop a list of interactive activities that will engage the attendees. These activities should be fun, inclusive, and align with the team-building goals of the event. Examples include trivia games, karaoke, and dance-offs.\n\n4. **Design Evening Games**:\n   Create a list of evening games that will keep the attendees entertained and engaged. These games should be suitable for the time of day and the overall atmosphere of the event. Examples include casino night, poker tournaments, and photo booths.\n\n5. **Coordinate with Other Plans**:\n   Ensure that the entertainment plan coordinates with other aspects of the event, such as the catering plan, technology plan, and decoration strategy. You can refer to the following plans from the previous steps:\n   <catering_plan>\n   {{CATERING_PLAN}}\n   </catering_plan>\n   <technology_plan>\n   {{TECHNOLOGY_PLAN}}\n   </technology_plan>\n   <decoration_strategy>\n   {{DECORATION_STRATEGY}}\n   </decoration_strategy>\n\n6. **Create a Detailed Entertainment Plan**:\n   Write a detailed entertainment plan that includes the following information:\n   - **Live Band or DJ**: Specify the type of entertainment, the duration, and any specific requirements.\n   - **Emcee**: Provide details about the emcee, including their role and responsibilities.\n   - **Interactive Activities**: List the interactive activities, their duration, and any necessary equipment or setup.\n   - **Evening Games**: Describe the evening games, their duration, and any specific instructions or rules.\n\nEnsure that the entertainment plan is comprehensive and covers all aspects of the event. The plan should be clear, concise, and easy to follow.\n\nFinally, provide the detailed entertainment plan as your answer.",
-      "input_vars_required": [],
-      "depends_on": [
-        "EVENT_SCHEDULE",
-        "CATERING_PLAN",
-        "TECHNOLOGY_PLAN",
-        "DECORATION_STRATEGY"
-      ]
-    },
-    {
-      "subtask": "19. Design a prize strategy with team prizes, individual awards, participation gifts, and raffle prizes. -",
-      "tag": "PRIZE_STRATEGY",
-      "constraints": [
-        {
-          "constraint": "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to design a prize strategy for the corporate team-building event. The prize strategy should include team prizes, individual awards, participation gifts, and raffle prizes. Follow these steps to accomplish your task:\n\n1. **Understand the Event Context**:\n   Review the gathered information about the company, event requirements, and constraints from the previous step:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Define Prize Categories**:\n   Identify the different categories of prizes needed for the event. These should include:\n   - **Team Prizes**: Prizes for the top-performing teams, such as first, second, and third place.\n   - **Individual Awards**: Recognition for outstanding individual performances or contributions.\n   - **Participation Gifts**: Small gifts or tokens of appreciation for all attendees.\n   - **Raffle Prizes**: Prizes to be raffled off during the event, which can be won by any attendee.\n\n3. **Determine Prize Values**:\n   Based on the budget breakdown and the overall event budget, determine the appropriate values for each prize category. Ensure that the prize strategy aligns with the total estimated budget:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n4. **Plan Team Prizes**:\n   Design a tiered prize structure for team prizes. For example:\n   - **First Place Team Prize**: $500 value\n   - **Second Place Team Prize**: $300 value\n   - **Third Place Team Prize**: $200 value\n\n5. **Plan Individual Awards**:\n   Identify criteria for individual awards, such as \"Most Innovative Idea,\" \"Best Team Player,\" or \"Outstanding Leadership.\" Determine the type and value of each individual award.\n\n6. **Plan Participation Gifts**:\n   Choose small, meaningful gifts that can be given to all attendees. These could include branded merchandise, gift cards, or other tokens of appreciation.\n\n7. **Plan Raffle Prizes**:\n   Select a variety of raffle prizes that appeal to a broad range of attendees. Consider including high-value items, experiences, or other exciting prizes.\n\n8. **Integrate with Event Schedule**:\n   Ensure that the prize strategy aligns with the event schedule, including when and how prizes will be awarded. Review the event schedule from the previous step:\n   <event_schedule>\n   {{EVENT_SCHEDULE}}\n   </event_schedule>\n\n9. **Document the Prize Strategy**:\n   Compile all the information into a detailed prize strategy document. Include the following sections:\n   - **Team Prizes**: Description and value of each team prize.\n   - **Individual Awards**: Criteria and description of each individual award.\n   - **Participation Gifts**: Description and distribution plan for participation gifts.\n   - **Raffle Prizes**: Description and selection process for raffle prizes.\n\n10. **Review and Finalize**:\n    Review the prize strategy to ensure it meets all event requirements and aligns with the overall event goals. Make any necessary adjustments to ensure clarity and completeness.\n\nYour final answer should be a detailed prize strategy document that includes all the above information.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "BUDGET_BREAKDOWN",
-        "EVENT_SCHEDULE"
-      ]
-    },
-    {
-      "subtask": "20. Develop a post-event evaluation plan with participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications. -",
-      "tag": "POST_EVENT_EVALUATION",
-      "constraints": [
-        {
-          "constraint": "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive post-event evaluation plan for the corporate team-building event. This plan should include the following components:\n\n1. **Participant Survey**:\n   - Design a survey to be sent within 24 hours of the event.\n   - Include questions that assess the overall experience, specific activities, workshops, catering, and any areas for improvement.\n   - Ensure the survey is concise, easy to complete, and covers all key aspects of the event.\n\n2. **Debriefing Sessions**:\n   - Plan debriefing sessions with the event planning team and key stakeholders.\n   - Schedule these sessions within a week after the event to discuss what went well, what could be improved, and any lessons learned.\n   - Document the outcomes of these sessions for future reference.\n\n3. **Budget Reconciliation**:\n   - Compare the actual expenses with the estimated budget.\n   - Identify any budget overruns or savings.\n   - Provide a detailed report on the financial performance of the event.\n\n4. **Photo Compilation**:\n   - Gather all photos taken during the event.\n   - Create a digital album or slideshow to share with participants and stakeholders.\n   - Ensure the photos are organized and easily accessible.\n\n5. **Impact Assessment**:\n   - Evaluate the impact of the event on team cohesion, cross-departmental collaboration, and morale.\n   - Use feedback from the participant survey and debriefing sessions to assess the event's success.\n   - Provide a summary of the event's overall impact and any measurable outcomes.\n\n6. **Thank You Communications**:\n   - Prepare thank-you messages for all participants, vendors, and stakeholders.\n   - Include a brief summary of the event's success and express gratitude for their contributions.\n   - Send these communications within a week after the event.\n\nTo accomplish this task, follow these steps:\n\n1. **Review Event Details**:\n   - Refer to the gathered information about the company, event requirements, and constraints:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Design the Participant Survey**:\n   - Create a survey that covers all key aspects of the event.\n   - Ensure the survey is user-friendly and can be completed quickly.\n\n3. **Plan Debriefing Sessions**:\n   - Schedule sessions with the event planning team and key stakeholders.\n   - Prepare an agenda for each session to ensure productive discussions.\n\n4. **Conduct Budget Reconciliation**:\n   - Compare actual expenses with the estimated budget.\n   - Identify any discrepancies and document the findings.\n\n5. **Compile Photos**:\n   - Gather all photos from the event.\n   - Organize them into a digital album or slideshow.\n\n6. **Assess Impact**:\n   - Use feedback from the survey and debriefing sessions to evaluate the event's impact.\n   - Provide a summary of the event's success and any measurable outcomes.\n\n7. **Prepare Thank You Communications**:\n   - Draft thank-you messages for participants, vendors, and stakeholders.\n   - Include a brief summary of the event's success and express gratitude.\n\n8. **Compile the Post-Event Evaluation Plan**:\n   - Combine all the components into a comprehensive post-event evaluation plan.\n   - Ensure the plan is clear, detailed, and ready for implementation.\n\nYour final answer should be the complete post-event evaluation plan, including all the components mentioned above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "21. Create an accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation. -",
-      "tag": "ACCESSIBILITY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create an accessibility plan for the corporate team-building event. This plan should ensure that the event is inclusive and accommodates the diverse needs of all attendees. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   Review the gathered information about the company and event requirements to understand the specific needs and constraints related to accessibility:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **ADA Compliance**:\n   Ensure that the event venue and all activities comply with the Americans with Disabilities Act (ADA) standards. This includes:\n   - Accessible entry points and pathways\n   - Adequate space for mobility devices\n   - Accessible restrooms\n   - Clear signage and directions\n\n3. **Interpreters and Assistive Technology**:\n   Plan for the provision of interpreters for attendees who are deaf or hard of hearing. Additionally, consider any assistive technology that may be required, such as:\n   - Hearing assistance devices\n   - Visual aids\n   - Braille materials\n\n4. **Activity Modifications**:\n   Modify activities to ensure they are accessible to all attendees. This may include:\n   - Providing alternative activities for those who cannot participate in certain events\n   - Adjusting the difficulty level of activities\n   - Ensuring that all activities can be performed by individuals with varying abilities\n\n5. **Dietary Accommodation**:\n   Accommodate dietary restrictions and preferences by:\n   - Offering a variety of food options that cater to different dietary needs (e.g., vegetarian, vegan, gluten-free, allergies)\n   - Clearly labeling all food items with allergen information\n   - Providing a pre-event survey to gather dietary information from attendees\n\n6. **Inclusive Team Formation**:\n   Ensure that teams are formed inclusively by:\n   - Mixing departments and seniority levels\n   - Considering the abilities and preferences of each attendee\n   - Providing clear team assignments and communication channels\n\n7. **Safety and Emergency Procedures**:\n   Develop safety and emergency procedures that are accessible to all attendees. This includes:\n   - Clear evacuation routes and procedures\n   - Accessible first aid stations\n   - Emergency contact information\n\n8. **Communication Plan**:\n   Create a communication plan that ensures all attendees are informed about accessibility options and how to access them. This may include:\n   - Including accessibility information in event materials\n   - Providing a dedicated point of contact for accessibility-related questions\n   - Using multiple communication channels (e.g., email, event app, Slack)\n\n9. **Review and Finalize**:\n   Review the accessibility plan to ensure it meets all requirements and addresses the diverse needs of the attendees. Make any necessary adjustments and finalize the plan.\n\nYour final answer should be a comprehensive accessibility plan that includes all the elements outlined above.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING"
-      ]
-    },
-    {
-      "subtask": "22. Create a contingency plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns. -",
-      "tag": "CONTINGENCY_PLANNING",
-      "constraints": [
-        {
-          "constraint": "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to create a comprehensive contingency plan for the corporate team-building event. This plan should address potential risks and ensure the event can proceed smoothly despite unforeseen circumstances. Follow these steps to accomplish your task:\n\n1. **Identify Potential Risks**:\n   - **Weather Emergencies**: Consider the possibility of extreme weather conditions that could disrupt the event. Think about both indoor and outdoor activities.\n   - **Vendor Cancellations**: Identify key vendors and the impact of their cancellation on the event.\n   - **Technology Failures**: Consider the technology requirements for the event and potential failures that could occur.\n   - **Medical Emergencies**: Plan for any medical emergencies that might arise during the event.\n   - **Budget Overruns**: Identify areas where budget overruns might occur and plan for alternative solutions.\n\n2. **Develop Contingency Strategies**:\n   - **Weather Emergencies**:\n     - **Indoor Activities**: Have a backup plan for moving outdoor activities indoors.\n     - **Outdoor Activities**: Consider alternative dates or locations if necessary.\n     - **Communication**: Develop a communication plan to inform attendees of any changes due to weather.\n   - **Vendor Cancellations**:\n     - **Backup Vendors**: Identify and contract backup vendors for critical services.\n     - **Alternative Solutions**: Develop alternative solutions for essential services.\n   - **Technology Failures**:\n     - **Backup Equipment**: Ensure backup AV equipment and tech support are available.\n     - **Manual Processes**: Have manual processes in place in case of technology failures.\n   - **Medical Emergencies**:\n     - **First Aid Stations**: Ensure adequate first aid stations and trained personnel are available.\n     - **Emergency Protocols**: Develop clear protocols for handling medical emergencies.\n   - **Budget Overruns**:\n     - **Cost-Saving Measures**: Identify areas where costs can be reduced without compromising the event.\n     - **Contingency Fund**: Allocate a contingency fund to cover unexpected expenses.\n\n3. **Implement and Monitor**:\n   - **Implementation**: Ensure all contingency plans are implemented as part of the overall event strategy.\n   - **Monitoring**: Continuously monitor the event for any signs of the identified risks and be prepared to activate the contingency plans as needed.\n\n4. **Documentation**:\n   - **Contingency Plan Document**: Create a detailed contingency plan document that includes all the strategies developed. This document should be part of the comprehensive event strategy document.\n\n5. **Review and Update**:\n   - **Regular Reviews**: Regularly review and update the contingency plan as the event approaches to ensure it remains relevant and effective.\n\nUse the information gathered in the previous steps to inform your contingency planning. Ensure that all aspects of the event are covered and that the contingency plans are practical and feasible.\n\nFinally, compile the contingency plan into a clear and concise document that can be easily referenced during the event planning and execution phases.",
-      "input_vars_required": [],
-      "depends_on": []
-    },
-    {
-      "subtask": "23. Develop a sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management. -",
-      "tag": "SUSTAINABILITY_PLAN",
-      "constraints": [
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to develop a comprehensive sustainability plan for the corporate team-building event. This plan should focus on minimizing the environmental impact of the event while ensuring a memorable and enjoyable experience for all participants.\n\nTo accomplish this, follow these steps:\n\n1. **Understand the Event Requirements**:\n   Review the gathered information about the company, event requirements, and constraints:\n   <information_gathering>\n   {{INFORMATION_GATHERING}}\n   </information_gathering>\n\n2. **Identify Key Sustainability Areas**:\n   Focus on the following key areas to create a sustainable event:\n   - **Eco-friendly Venue**: Select a venue that has eco-friendly practices, such as energy-efficient lighting, waste reduction programs, and sustainable building materials.\n   - **Local Catering**: Partner with local caterers who source ingredients locally and use sustainable practices. Ensure they offer diverse menu options that accommodate dietary restrictions.\n   - **Reusable Serving Ware**: Use reusable or compostable serving ware to minimize waste. Avoid single-use plastics and encourage the use of reusable cups, plates, and cutlery.\n   - **Digital Communications**: Utilize digital communications for invitations, reminders, and event information to reduce paper waste. Create a mobile event app for scheduling and messaging.\n   - **Recyclable Decorations**: Choose decorations that are recyclable or made from sustainable materials. Avoid non-biodegradable materials and opt for eco-friendly alternatives.\n   - **Waste Management**: Implement a comprehensive waste management plan that includes recycling stations, composting, and proper disposal of waste. Educate participants on the importance of waste reduction and proper disposal methods.\n\n3. **Develop Detailed Strategies**:\n   For each key area, develop detailed strategies that outline the steps to be taken, the resources required, and the expected outcomes. Ensure that the strategies align with the overall event goals and constraints.\n\n4. **Create a Sustainability Timeline**:\n   Integrate the sustainability plan into the overall event timeline. Ensure that sustainability initiatives are scheduled appropriately and that all necessary actions are taken in a timely manner.\n\n5. **Budget Considerations**:\n   Review the budget breakdown to ensure that the sustainability plan is cost-effective and aligns with the total estimated budget:\n   <budget_breakdown>\n   {{BUDGET_BREAKDOWN}}\n   </budget_breakdown>\n\n6. **Communication Plan**:\n   Develop a communication plan to inform participants about the sustainability initiatives. Use the marketing and communication strategy to promote the event's eco-friendly practices:\n   <marketing_strategy>\n   {{MARKETING_STRATEGY}}\n   </marketing_strategy>\n\n7. **Vendor Management**:\n   Ensure that all vendors adhere to the sustainability plan. Include sustainability criteria in the vendor selection process and monitor their compliance throughout the event:\n   <vendor_management>\n   {{VENDOR_MANAGEMENT}}\n   </vendor_management>\n\n8. **Post-Event Evaluation**:\n   Include sustainability metrics in the post-event evaluation plan. Assess the effectiveness of the sustainability initiatives and identify areas for improvement in future events:\n   <post_event_evaluation>\n   {{POST_EVENT_EVALUATION}}\n   </post_event_evaluation>\n\n9. **Contingency Planning**:\n   Develop contingency plans for potential sustainability challenges, such as waste management issues or vendor non-compliance. Ensure that the contingency planning aligns with the overall event strategy:\n   <contingency_planning>\n   {{CONTINGENCY_PLANNING}}\n   </contingency_planning>\n\n10. **Finalize the Sustainability Plan**:\n    Compile all the information into a detailed sustainability plan that outlines the strategies, timelines, budget considerations, communication plans, vendor management, post-event evaluation, and contingency planning.\n\nEnsure that the sustainability plan is integrated into the comprehensive event strategy document and that all planning follows best practices, creates memorable experiences, accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable practices, leverages technology, builds excitement, and measures success.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENDOR_MANAGEMENT",
-        "POST_EVENT_EVALUATION",
-        "CONTINGENCY_PLANNING"
-      ]
-    },
-    {
-      "subtask": "24. Compile all the information into a comprehensive event strategy document. -",
-      "tag": "EVENT_STRATEGY_DOCUMENT",
-      "constraints": [
-        {
-          "constraint": "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-          "validation_strategy": "code"
-        },
-        {
-          "constraint": "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-          "validation_strategy": "llm"
-        },
-        {
-          "constraint": "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-          "validation_strategy": "llm"
-        }
-      ],
-      "prompt_template": "Your task is to compile all the information gathered and planned in the previous steps into a comprehensive event strategy document. This document will serve as the blueprint for executing the corporate team-building event.\n\nTo accomplish this, follow these steps:\n\n1. **Review All Previous Steps**:\n   Carefully review the information and plans developed in the previous steps. This includes:\n   - Information Gathering: {{INFORMATION_GATHERING}}\n   - Planning Timeline: {{PLANNING_TIMELINE}}\n   - Budget Breakdown: {{BUDGET_BREAKDOWN}}\n   - Marketing Strategy: {{MARKETING_STRATEGY}}\n   - Venue Selection: {{VENUE_SELECTION}}\n   - Event Schedule: {{EVENT_SCHEDULE}}\n   - Icebreaker Plans: {{ICEBREAKER_PLANS}}\n   - Team Formation: {{TEAM_FORMATION}}\n   - Workshop Content: {{WORKSHOP_CONTENT}}\n   - Catering Plan: {{CATERING_PLAN}}\n   - Activity Logistics: {{ACTIVITY_LOGISTICS}}\n   - Transportation Plan: {{TRANSPORTATION_PLAN}}\n   - Registration Process: {{REGISTRATION_PROCESS}}\n   - Safety Plan: {{SAFETY_PLAN}}\n   - Vendor Management: {{VENDOR_MANAGEMENT}}\n   - Technology Plan: {{TECHNOLOGY_PLAN}}\n   - Decoration Strategy: {{DECORATION_STRATEGY}}\n   - Entertainment Plan: {{ENTERTAINMENT_PLAN}}\n   - Prize Strategy: {{PRIZE_STRATEGY}}\n   - Post-Event Evaluation: {{POST_EVENT_EVALUATION}}\n   - Accessibility Plan: {{ACCESSIBILITY_PLAN}}\n   - Sustainability Plan: {{SUSTAINABILITY_PLAN}}\n   - Contingency Planning: {{CONTINGENCY_PLANNING}}\n\n2. **Organize the Information**:\n   Structure the event strategy document in a logical and coherent manner. Use clear headings and subheadings to organize the content. Here is a suggested structure:\n   - **Executive Summary**: A brief overview of the event's objectives, key highlights, and expected outcomes.\n   - **Event Overview**: Detailed description of the event, including its purpose, goals, and target audience.\n   - **Planning Timeline**: The detailed planning timeline starting 6 months before the event with weekly milestones.\n   - **Budget Breakdown**: Comprehensive breakdown of the budget for venue rental, catering, entertainment, transportation, technology, and total estimated budget.\n   - **Marketing and Communication Strategy**: Detailed strategy for save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods.\n   - **Venue Selection**: Process for evaluating and selecting the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness.\n   - **Event Schedule**: Detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.\n   - **Icebreaker Activities**: List of 15 icebreaker activities with detailed plans.\n   - **Team Formation Strategy**: Strategy for forming diverse teams with a mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event.\n   - **Workshop Content**: Content for leadership, innovation, communication, and wellness workshops.\n   - **Catering Plan**: Detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options.\n   - **Activity Logistics**: Logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.\n   - **Transportation Plan**: Plan for charter buses, parking management, shuttle service, and contingency plans.\n   - **Registration Process**: Process for online portal, on-site check-in, name tags, welcome packets, and staff training.\n   - **Safety Plan**: Comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.\n   - **Vendor Management**: Strategy for vendor selection, contracts, payment schedules, and evaluation forms.\n   - **Technology Plan**: Plan for event app, AV equipment, WiFi, photography services, live streaming, and tech support.\n   - **Decoration Strategy**: Strategy for signage, team colors, photo backdrops, and sustainable options.\n   - **Entertainment Plan**: Plan for live band or DJ, emcee, interactive activities, and evening games.\n   - **Prize Strategy**: Strategy for team prizes, individual awards, participation gifts, and raffle prizes.\n   - **Post-Event Evaluation**: Plan for participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.\n   - **Accessibility Plan**: Plan for ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.\n   - **Sustainability Plan**: Plan for eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.\n   - **Contingency Planning**: Plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.\n\n3. **Compile the Document**:\n   Combine all the organized information into a single, cohesive document. Ensure that the document is well-structured, easy to read, and includes all necessary details for executing the event.\n\n4. **Review and Finalize**:\n   Review the compiled document to ensure accuracy, completeness, and clarity. Make any necessary adjustments to ensure that the document meets all requirements and standards.\n\n5. **Output the Event Strategy Document**:\n   Provide the final event strategy document as your answer. Ensure that the document is well-formatted and ready for use.",
-      "input_vars_required": [],
-      "depends_on": [
-        "INFORMATION_GATHERING",
-        "PLANNING_TIMELINE",
-        "BUDGET_BREAKDOWN",
-        "MARKETING_STRATEGY",
-        "VENUE_SELECTION",
-        "EVENT_SCHEDULE",
-        "ICEBREAKER_PLANS",
-        "TEAM_FORMATION",
-        "WORKSHOP_CONTENT",
-        "CATERING_PLAN",
-        "ACTIVITY_LOGISTICS",
-        "TRANSPORTATION_PLAN",
-        "REGISTRATION_PROCESS",
-        "SAFETY_PLAN",
-        "VENDOR_MANAGEMENT",
-        "TECHNOLOGY_PLAN",
-        "DECORATION_STRATEGY",
-        "ENTERTAINMENT_PLAN",
-        "PRIZE_STRATEGY",
-        "POST_EVENT_EVALUATION",
-        "ACCESSIBILITY_PLAN",
-        "SUSTAINABILITY_PLAN",
-        "CONTINGENCY_PLANNING"
-      ]
-    }
-  ]
-}
\ No newline at end of file
diff --git a/docs/examples/m_decompose/m_decomp_result.py b/docs/examples/m_decompose/m_decomp_result.py
deleted file mode 100644
index 0c845ab9f..000000000
--- a/docs/examples/m_decompose/m_decomp_result.py
+++ /dev/null
@@ -1,1785 +0,0 @@
-# pytest: skip_always
-# Note: This is an example of an intermediary result from using decompose, not an example of how to use decompose.
-
-import textwrap
-
-import mellea
-
-if __name__ == "__main__":
-    m = mellea.start_session()
-
-    # 1. Gather all necessary information about the company, event requirements, and constraints. - - INFORMATION_GATHERING
-    information_gathering = m.instruct(
-        textwrap.dedent(
-            R"""
-         To gather all necessary information about the company, event requirements, and constraints, follow these steps:
-
-         1. **Company Information**:
-            - **Company Size**: Determine the number of employees (100-300).
-            - **Departments**: Identify the different departments within the company.
-            - **Employee Demographics**: Gather information about the diversity of employees, including age, seniority, and roles.
-            - **Company Culture**: Understand the company's values, mission, and current team dynamics.
-
-         2. **Event Requirements**:
-            - **Objectives**: Clearly define the goals of the event, such as strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-            - **Event Type**: Specify the type of event (e.g., corporate team-building event).
-            - **Duration**: Determine the start and end times of the event (8:00 AM to 8:00 PM).
-            - **Key Activities**: List the key activities planned for the event, such as registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.
-
-         3. **Event Constraints**:
-            - **Budget**: Identify the budget constraints for different aspects of the event, including venue rental ($15,000-25,000), catering ($75-125 per person), entertainment and activities ($10,000-20,000), transportation ($3,000-8,000), technology ($5,000-10,000), and total estimated budget ($50,000-125,000).
-            - **Venue Requirements**: Specify the venue requirements, such as capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness.
-            - **Safety and Accessibility**: Ensure the event follows best practices for safety, accessibility, and sustainability.
-            - **Technology**: Identify the technology requirements, such as event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support.
-
-         4. **Additional Information**:
-            - **Marketing and Communication**: Gather information about the marketing and communication strategy, including save-the-date announcements, formal invitations, reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app.
-            - **Team Formation**: Understand the team formation strategy, including diverse mix of departments and seniority, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before the event.
-            - **Workshop Content**: Identify the content for leadership, innovation, communication, and wellness workshops.
-            - **Catering Plan**: Gather information about the catering plan, including breakfast, lunch, afternoon snacks, and dinner options.
-            - **Activity Logistics**: Understand the logistics for all planned activities, including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-            - **Transportation Plan**: Gather information about the transportation plan, including charter buses, parking management, shuttle service, and contingency plans.
-            - **Registration Process**: Understand the registration process, including online portal, on-site check-in, name tags, welcome packets, and staff training.
-            - **Safety Plan**: Gather information about the safety plan, including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.
-            - **Vendor Management**: Understand the vendor management strategy, including selection criteria, contracts, payment schedules, and evaluation forms.
-            - **Technology Plan**: Gather information about the technology plan, including event app, AV equipment, WiFi, photography services, live streaming, and tech support.
-            - **Decoration Strategy**: Understand the decoration strategy, including signage, team colors, photo backdrops, and sustainable options.
-            - **Entertainment Plan**: Gather information about the entertainment plan, including live band or DJ, emcee, interactive activities, and evening games.
-            - **Prize Strategy**: Understand the prize strategy, including team prizes, individual awards, participation gifts, and raffle prizes.
-            - **Post-Event Evaluation**: Gather information about the post-event evaluation plan, including participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.
-            - **Accessibility Plan**: Understand the accessibility plan, including ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.
-            - **Sustainability Plan**: Gather information about the sustainability plan, including eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.
-            - **Contingency Planning**: Understand the contingency planning for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.
-
-         5. **Documentation**:
-            - Compile all the gathered information into a comprehensive document that will serve as the basis for the event strategy document.
-
-         By following these steps, you will gather all necessary information about the company, event requirements, and constraints to ensure a successful and well-organized corporate team-building event.
-         """.strip()
-        ),
-        requirements=[
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-            "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-    )
-    assert information_gathering.value is not None, (
-        'ERROR: task "information_gathering" execution failed'
-    )
-
-    # 2. Create a detailed planning timeline starting 6 months before the event with weekly milestones. - - PLANNING_TIMELINE
-    planning_timeline = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a detailed planning timeline starting 6 months before the event with weekly milestones. Follow these steps to accomplish your task:
-
-         First, review the gathered information about the company, event requirements, and constraints from the previous step:
-         <gathered_information>
-         {{INFORMATION_GATHERING}}
-         </gathered_information>
-
-         Next, consider the key components of the event that need to be planned, such as venue selection, marketing and communication, team formation, workshops, catering, activities, transportation, registration, safety, vendor management, technology, decorations, entertainment, prizes, post-event evaluation, accessibility, sustainability, and contingency planning.
-
-         Break down the planning process into weekly milestones starting 6 months before the event. Ensure that each milestone is specific, measurable, achievable, relevant, and time-bound (SMART).
-
-         Here is a suggested structure for the planning timeline:
-
-         **6 Months Before the Event:**
-         - Finalize event objectives and key performance indicators (KPIs).
-         - Establish the event budget and allocate funds to different categories.
-         - Develop a high-level event plan and timeline.
-         - Identify and assemble the event planning team.
-         - Begin researching and evaluating potential venues.
-
-         **5 Months Before the Event:**
-         - Select and book the venue.
-         - Develop a detailed event schedule and share it with key stakeholders.
-         - Create a marketing and communication strategy.
-         - Begin designing the event branding and promotional materials.
-         - Start planning the team formation strategy.
-
-         **4 Months Before the Event:**
-         - Send save-the-date announcements to employees.
-         - Finalize the event schedule and share it with vendors and participants.
-         - Develop the workshop content and identify facilitators.
-         - Create a catering plan and send out a pre-event survey for dietary restrictions.
-         - Begin planning the icebreaker activities.
-
-         **3 Months Before the Event:**
-         - Send formal invitations to employees.
-         - Finalize the team formation strategy and assign teams.
-         - Develop the activity logistics and equipment lists.
-         - Create a transportation plan and arrange charter buses if necessary.
-         - Design the registration process and set up the online portal.
-
-         **2 Months Before the Event:**
-         - Send weekly reminder emails to employees.
-         - Finalize the catering plan and confirm menu options.
-         - Develop the safety plan and evacuation procedures.
-         - Create a vendor management strategy and finalize contracts.
-         - Design the technology plan and arrange AV equipment.
-
-         **1 Month Before the Event:**
-         - Send team assignments and welcome packets to employees.
-         - Finalize the decoration strategy and order necessary materials.
-         - Develop the entertainment plan and book a live band or DJ.
-         - Create a prize strategy and order prizes.
-         - Finalize the post-event evaluation plan.
-
-         **2 Weeks Before the Event:**
-         - Conduct a final walkthrough of the venue.
-         - Train staff on the registration process and safety protocols.
-         - Finalize the accessibility plan and make necessary accommodations.
-         - Develop a sustainability plan and implement eco-friendly practices.
-         - Create a contingency plan for potential emergencies.
-
-         **1 Week Before the Event:**
-         - Send a final reminder email to employees.
-         - Confirm all vendor arrangements and payment schedules.
-         - Finalize the event schedule and share it with participants.
-         - Prepare the welcome packets and name tags.
-         - Conduct a final review of the event strategy document.
-
-         Ensure that the planning timeline is comprehensive and covers all aspects of the event. The timeline should be flexible and allow for adjustments as needed.
-
-         Finally, write the detailed planning timeline starting 6 months before the event with weekly milestones. Your answer will serve as basis for the next steps.
-         """.strip()
-        ),
-        requirements=[
-            "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert planning_timeline.value is not None, (
-        'ERROR: task "planning_timeline" execution failed'
-    )
-
-    # 3. Develop a budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget. - - BUDGET_BREAKDOWN
-    budget_breakdown = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a detailed budget breakdown for the corporate team-building event. This budget should include estimates for venue rental, catering, entertainment, transportation, technology, and the total estimated budget.
-
-         To accomplish this, follow these steps:
-
-         1. **Review Gathered Information**:
-            First, review the information gathered about the company, event requirements, and constraints. This information will help you understand the scope and specific needs of the event:
-            <gathered_information>
-            {{INFORMATION_GATHERING}}
-            </gathered_information>
-
-         2. **Understand Budget Constraints**:
-            The event has specific budget constraints for each category:
-            - **Venue Rental**: $15,000 - $25,000
-            - **Catering**: $75 - $125 per person
-            - **Entertainment and Activities**: $10,000 - $20,000
-            - **Transportation**: $3,000 - $8,000
-            - **Technology**: $5,000 - $10,000
-            - **Total Estimated Budget**: $50,000 - $125,000
-
-         3. **Calculate Catering Costs**:
-            The catering cost is per person. The event will have 100-300 employees attending. Calculate the total catering cost based on the number of attendees and the per-person cost.
-
-         4. **Estimate Other Costs**:
-            Provide a detailed estimate for each of the remaining categories (venue rental, entertainment, transportation, and technology) within the specified budget ranges.
-
-         5. **Summarize Total Estimated Budget**:
-            Add up the estimated costs for each category to provide a total estimated budget for the event. Ensure that the total estimated budget falls within the specified range of $50,000 - $125,000.
-
-         6. **Provide Detailed Breakdown**:
-            Present the budget breakdown in a clear and organized manner. Include the following information for each category:
-            - **Category**: Name of the budget category (e.g., Venue Rental)
-            - **Estimated Cost**: The estimated cost for that category
-            - **Notes**: Any additional notes or considerations for that category
-
-         7. **Review and Adjust**:
-            Review your budget breakdown to ensure it is accurate and aligns with the event's requirements and constraints. Make any necessary adjustments to ensure the total estimated budget is within the specified range.
-
-         8. **Final Answer**:
-            Provide the detailed budget breakdown as your final answer. Ensure it is clear, concise, and adheres to the specified budget constraints.
-
-         Example Format:
-         - **Venue Rental**: $20,000
-            - Notes: Includes rental fee for the venue and basic setup.
-         - **Catering**: $25,000
-            - Notes: Based on 200 attendees at $125 per person.
-         - **Entertainment and Activities**: $15,000
-            - Notes: Includes costs for activities and entertainment.
-         - **Transportation**: $5,000
-            - Notes: Includes charter buses and shuttle service.
-         - **Technology**: $7,000
-            - Notes: Includes AV equipment, WiFi, and tech support.
-         - **Total Estimated Budget**: $72,000
-         """.strip()
-        ),
-        requirements=[
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert budget_breakdown.value is not None, (
-        'ERROR: task "budget_breakdown" execution failed'
-    )
-
-    # 4. Design a marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods. - - MARKETING_STRATEGY
-    marketing_strategy = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a comprehensive marketing and communication strategy for a corporate team-building event. This strategy should ensure effective engagement and participation from all employees. Follow these steps to accomplish your task:
-
-         1. **Review Gathered Information**:
-            Begin by reviewing the information gathered about the company, event requirements, and constraints. This will help you tailor the marketing and communication strategy to the specific needs and preferences of the employees:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Understand the Planning Timeline**:
-            Familiarize yourself with the planning timeline to ensure that all marketing and communication activities are scheduled appropriately. This will help you create a timeline for save-the-date announcements, formal invitations, reminder emails, and internal campaigns:
-            <planning_timeline>
-            {{PLANNING_TIMELINE}}
-            </planning_timeline>
-
-         3. **Budget Considerations**:
-            Consider the budget breakdown to ensure that the marketing and communication strategy is cost-effective and aligns with the overall budget for the event:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         4. **Develop the Marketing and Communication Strategy**:
-            Create a detailed marketing and communication strategy that includes the following components:
-
-            - **Save-the-Date Announcements**:
-               Plan to send save-the-date announcements 4 months in advance. These announcements should be sent via email and should include the event date, purpose, and a brief overview of what to expect.
-
-            - **Formal Invitations**:
-               Design formal invitations to be sent 2 months before the event. These invitations should include detailed information about the event schedule, dress code, and any specific instructions or requirements.
-
-            - **Weekly Reminder Emails**:
-               Schedule weekly reminder emails leading up to the event. These emails should provide updates, reminders, and any additional information that may be relevant to the participants.
-
-            - **Internal Campaigns**:
-               Develop internal campaigns to build excitement and engagement. These campaigns can include posters, flyers, and announcements on internal communication platforms.
-
-            - **Dedicated Slack Channel**:
-               Create a dedicated Slack channel for event-related discussions, updates, and announcements. This channel will serve as a central hub for all event-related communication.
-
-            - **Executive Videos**:
-               Plan to create and share videos featuring executive messages about the event. These videos can be shared via email, internal communication platforms, and the dedicated Slack channel.
-
-            - **Mobile Event App**:
-               Develop a mobile event app that provides participants with access to the event schedule, maps, speaker information, and other relevant details. The app should also include features for messaging and networking.
-
-         5. **Ensure Consistency and Clarity**:
-            Ensure that all marketing and communication materials are consistent in tone, style, and branding. This will help create a cohesive and professional image for the event.
-
-         6. **Review and Finalize**:
-            Review the marketing and communication strategy to ensure that it meets all the requirements and aligns with the overall event goals. Make any necessary adjustments and finalize the strategy.
-
-         Your final answer should be a detailed marketing and communication strategy document that includes all the components mentioned above.
-         """.strip()
-        ),
-        requirements=[
-            "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-        },
-    )
-    assert marketing_strategy.value is not None, (
-        'ERROR: task "marketing_strategy" execution failed'
-    )
-
-    # 5. Develop a venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness. - - VENUE_SELECTION
-    venue_selection = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive venue selection process to evaluate and select the best venue for the corporate team-building event. Follow these steps to accomplish your task:
-
-         1. **Understand the Requirements**:
-            Review the gathered information about the company and event requirements, including the need to accommodate 100-300 employees. Ensure the venue selection process aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-
-         2. **Define Evaluation Criteria**:
-            Based on the event requirements, define the key criteria for evaluating potential venues. The criteria should include:
-            - **Capacity**: Ability to accommodate 100-300 people.
-            - **Accessibility**: Ease of access for all attendees, including those with disabilities.
-            - **Parking**: Adequate parking facilities for attendees and staff.
-            - **Indoor/Outdoor Space**: Availability of both indoor and outdoor spaces for various activities.
-            - **AV Capabilities**: Sufficient audio-visual equipment and support.
-            - **WiFi**: Reliable WiFi for 300+ devices.
-            - **Catering Facilities**: Ability to support breakfast, lunch, afternoon snacks, and dinner.
-            - **Accommodations**: Proximity to accommodations for out-of-town attendees, if necessary.
-            - **Cost-Effectiveness**: Budget-friendly options within the estimated budget of $15,000-25,000.
-
-         3. **Research Potential Venues**:
-            Identify at least 10 potential venues that meet the initial criteria. Gather detailed information about each venue, including:
-            - Location and contact information.
-            - Capacity and layout.
-            - Availability of required facilities and services.
-            - Cost estimates for rental and additional services.
-
-         4. **Create Evaluation Forms**:
-            Develop evaluation forms to systematically assess each venue against the defined criteria. The forms should include:
-            - Checklists for each criterion.
-            - Rating scales for subjective assessments.
-            - Space for notes and additional comments.
-
-         5. **Conduct Venue Visits or Virtual Tours**:
-            Schedule visits or virtual tours of the shortlisted venues. During the visits, evaluate:
-            - The overall ambiance and suitability for the event.
-            - The condition and functionality of facilities.
-            - The responsiveness and professionalism of the venue staff.
-
-         6. **Compare and Contrast Venues**:
-            Use the evaluation forms to compare and contrast the venues. Create a summary table or matrix that highlights the strengths and weaknesses of each venue based on the defined criteria.
-
-         7. **Select the Best Venue**:
-            Based on the evaluations, select the venue that best meets the event requirements and aligns with the budget. Consider factors such as overall value, flexibility, and the ability to create a memorable experience for attendees.
-
-         8. **Document the Selection Process**:
-            Prepare a detailed report documenting the venue selection process. The report should include:
-            - The defined evaluation criteria.
-            - The list of potential venues and their evaluations.
-            - The comparison and contrast of venues.
-            - The rationale for selecting the final venue.
-
-         9. **Finalize Venue Contract**:
-            Work with the selected venue to finalize the contract, ensuring all agreed-upon terms and conditions are clearly outlined. Include details such as:
-            - Rental costs and payment schedules.
-            - Cancellation policies.
-            - Additional services and their costs.
-
-         10. **Integrate with Overall Event Plan**:
-               Ensure the selected venue aligns with the overall event strategy document. Coordinate with other event planning components, such as catering, transportation, and technology, to ensure seamless integration.
-
-         By following these steps, you will develop a thorough and effective venue selection process that meets the event's requirements and contributes to its success.
-         """.strip()
-        ),
-        requirements=[
-            "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness"
-        ],
-        user_variables={},
-    )
-    assert venue_selection.value is not None, (
-        'ERROR: task "venue_selection" execution failed'
-    )
-
-    # 6. Design a detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment. - - EVENT_SCHEDULE
-    event_schedule = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a detailed event schedule from 8:00 AM to 8:00 PM for a corporate team-building event. The schedule should include the following key components:
-
-         1. **Registration and Breakfast (8:00 - 9:00 AM)**
-            - Plan for registration process and breakfast setup.
-            - Include details on coffee stations, pastries, and any other breakfast items.
-
-         2. **Opening Ceremony (9:00 - 9:30 AM)**
-            - Outline the opening ceremony, including the CEO's speech.
-            - Include any additional opening activities or announcements.
-
-         3. **Icebreaker Activities (9:30 - 10:30 AM)**
-            - Plan for icebreaker activities such as human bingo and speed networking.
-            - Include any necessary setup or facilitation details.
-
-         4. **Morning Workshops (10:30 AM - 12:30 PM)**
-            - Design tracks on leadership, innovation, communication, and wellness.
-            - Include details on workshop content, facilitators, and any required materials.
-
-         5. **Lunch (12:30 - 2:00 PM)**
-            - Plan for lunch with diverse menu options.
-            - Include details on catering setup, dietary restrictions, and any special considerations.
-
-         6. **Afternoon Team Challenges (2:00 - 5:00 PM)**
-            - Plan for team challenges such as scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments.
-            - Include details on equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-
-         7. **Awards Ceremony (5:00 - 5:30 PM)**
-            - Plan for the awards ceremony, including any necessary setup or facilitation details.
-            - Include details on award categories, presentation, and any additional activities.
-
-         8. **Dinner with Entertainment (5:30 - 8:00 PM)**
-            - Plan for dinner with three entree choices and a full bar.
-            - Include details on entertainment such as live band or DJ, emcee, interactive activities, and evening games.
-
-         To accomplish this task, follow these steps:
-
-         1. **Review Gathered Information**:
-            - Carefully review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Review Planning Timeline**:
-            - Review the planning timeline starting 6 months before the event with weekly milestones from the previous step:
-            <planning_timeline>
-            {{PLANNING_TIMELINE}}
-            </planning_timeline>
-
-         3. **Review Budget Breakdown**:
-            - Review the budget breakdown for venue rental, catering, entertainment, transportation, technology, and total estimated budget from the previous step:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         4. **Review Marketing Strategy**:
-            - Review the marketing and communication strategy including save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods from the previous step:
-            <marketing_strategy>
-            {{MARKETING_STRATEGY}}
-            </marketing_strategy>
-
-         5. **Review Venue Selection**:
-            - Review the venue selection process to evaluate and select the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness from the previous step:
-            <venue_selection>
-            {{VENUE_SELECTION}}
-            </venue_selection>
-
-         6. **Design the Event Schedule**:
-            - Use the information gathered in the previous steps to design a detailed event schedule from 8:00 AM to 8:00 PM.
-            - Ensure the schedule includes all the key components mentioned above.
-            - Make sure the schedule is realistic, feasible, and aligns with the event's goals and constraints.
-
-         7. **Finalize the Schedule**:
-            - Review the designed event schedule to ensure it meets all the requirements and constraints.
-            - Make any necessary adjustments to ensure the schedule is comprehensive and detailed.
-
-         8. **Output the Event Schedule**:
-            - Provide the detailed event schedule as your final answer. Ensure the output is clear, concise, and well-organized.
-
-         Remember to adhere to the event's goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories. Ensure the schedule is inclusive, accessible, and sustainable, following best practices and leveraging technology where appropriate.
-         """.strip()
-        ),
-        requirements=[
-            "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENUE_SELECTION": venue_selection.value,
-        },
-    )
-    assert event_schedule.value is not None, (
-        'ERROR: task "event_schedule" execution failed'
-    )
-
-    # 7. Create a list of 15 icebreaker activities with detailed plans. - - ICEBREAKER_PLANS
-    icebreaker_plans = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a list of 15 icebreaker activities with detailed plans for a corporate team-building event. These activities should be engaging, inclusive, and designed to foster team cohesion and collaboration among 100-300 employees.
-
-         To approach this task, follow these steps:
-
-         1. **Understand the Event Context**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Review the Event Schedule**:
-            Ensure that the icebreaker activities align with the event schedule, particularly the time slot allocated for icebreaker activities from 9:30 AM to 10:30 AM:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **List of Icebreaker Activities**:
-            Create a list of 15 icebreaker activities. Each activity should include the following details:
-            - **Activity Name**: A clear and descriptive title.
-            - **Objective**: The purpose of the activity and how it contributes to team-building.
-            - **Materials Needed**: A list of any equipment or materials required.
-            - **Setup Instructions**: Step-by-step instructions for setting up the activity.
-            - **Instructions for Participants**: Clear guidelines on how to participate.
-            - **Duration**: The estimated time required for the activity.
-            - **Facilitator Notes**: Any special instructions or tips for the facilitator.
-            - **Safety Protocols**: Any safety considerations or guidelines.
-            - **Scoring System (if applicable)**: How the activity will be scored or evaluated.
-            - **Rotation Schedule (if applicable)**: How the activity will be rotated among teams.
-
-         4. **Diverse and Inclusive Activities**:
-            Ensure that the activities are diverse and inclusive, catering to different personalities, abilities, and preferences. Consider activities that can be adapted for various team sizes and dynamics.
-
-         5. **Engaging and Fun**:
-            The activities should be engaging and fun, designed to create a positive and memorable experience for all participants.
-
-         6. **Alignment with Event Goals**:
-            Ensure that the activities align with the overall goals of the event, which include strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-
-         Here is an example structure to guide your writing:
-         - **Activity 1: Human Knot**
-            - **Objective**: Promote teamwork and problem-solving.
-            - **Materials Needed**: None.
-            - **Setup Instructions**: Have participants stand in a circle.
-            - **Instructions for Participants**: Each person must hold hands with two people across from them to form a "human knot."
-            - **Duration**: 15-20 minutes.
-            - **Facilitator Notes**: Encourage communication and teamwork.
-            - **Safety Protocols**: Ensure participants are careful not to pull too hard.
-            - **Scoring System**: Not applicable.
-            - **Rotation Schedule**: Not applicable.
-
-         Repeat the above structure for all 15 icebreaker activities.
-
-         Ensure that each activity is clearly described and includes all the necessary details for successful execution.
-
-         Finally, compile the list of 15 icebreaker activities with detailed plans into a comprehensive document.
-         """.strip()
-        ),
-        requirements=[
-            "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-            "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-            "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert icebreaker_plans.value is not None, (
-        'ERROR: task "icebreaker_plans" execution failed'
-    )
-
-    # 8. Develop a team formation strategy with diverse mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event. - - TEAM_FORMATION
-    team_formation = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a team formation strategy for a corporate team-building event. This strategy should ensure a diverse mix of departments and seniority levels, accommodate dietary restrictions, and assign teams two weeks before the event.
-
-         To accomplish this, follow these steps:
-
-         1. **Understand the Event Requirements**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Diverse Team Formation**:
-            Create a strategy to form teams with a diverse mix of departments and seniority levels. Each team should consist of 8-12 people. Ensure that the teams are balanced in terms of experience, roles, and departments to foster collaboration and learning.
-
-         3. **Pre-Event Survey**:
-            Design a pre-event survey to collect information about dietary restrictions and preferences from all participants. This survey should be distributed at least one month before the event to allow sufficient time for planning.
-
-         4. **Team Assignments**:
-            Develop a process for assigning participants to teams. This process should consider the survey responses regarding dietary restrictions and ensure that teams are formed in a way that accommodates these needs. Team assignments should be communicated to participants two weeks before the event.
-
-         5. **Team Identification**:
-            Assign unique names and colors to each team to facilitate easy identification and foster team spirit. Ensure that the names and colors are inclusive and appropriate for all participants.
-
-         6. **Communication Plan**:
-            Outline a communication plan for informing participants about their team assignments, including the team name, color, and any other relevant information. This plan should include the distribution of team assignments and any follow-up communications.
-
-         7. **Documentation**:
-            Document the team formation strategy, including the criteria used for team formation, the survey questions, the process for assigning teams, and the communication plan. This documentation will be included in the comprehensive event strategy document.
-
-         Ensure that your strategy aligns with the overall event goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-         """.strip()
-        ),
-        requirements=[
-            "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert team_formation.value is not None, (
-        'ERROR: task "team_formation" execution failed'
-    )
-
-    # 9. Design content for leadership, innovation, communication, and wellness workshops. - - WORKSHOP_CONTENT
-    workshop_content = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design content for leadership, innovation, communication, and wellness workshops as part of the corporate team-building event. Follow these steps to accomplish your task:
-
-         1. **Understand the Workshop Requirements**:
-            - The workshops should focus on four key areas: leadership, innovation, communication, and wellness.
-            - Each workshop should be engaging, informative, and relevant to the attendees, who are employees from various departments and seniority levels.
-            - The workshops should align with the overall goals of strengthening team cohesion, improving cross-departmental collaboration, boosting morale, and creating lasting memories.
-
-         2. **Review Gathered Information**:
-            - Use the information gathered in the previous steps to understand the company's needs, event requirements, and constraints:
-               <information_gathering>
-               {{INFORMATION_GATHERING}}
-               </information_gathering>
-
-         3. **Design Leadership Workshop Content**:
-            - Create a workshop that focuses on leadership case studies, practical exercises, and group discussions.
-            - Include real-world examples and interactive activities that encourage participants to apply leadership principles.
-            - Ensure the content is relevant to both current leaders and those aspiring to leadership roles.
-
-         4. **Design Innovation Workshop Content**:
-            - Develop a workshop that emphasizes innovation brainstorming, creative problem-solving, and idea generation.
-            - Incorporate activities that encourage out-of-the-box thinking and collaboration.
-            - Provide tools and techniques that participants can use to foster innovation within their teams.
-
-         5. **Design Communication Workshop Content**:
-            - Create a workshop that covers effective communication strategies, active listening, and conflict resolution.
-            - Include exercises that help participants practice clear and concise communication.
-            - Address both verbal and non-verbal communication skills.
-
-         6. **Design Wellness Workshop Content**:
-            - Develop a workshop that focuses on wellness meditation, stress management, and work-life balance.
-            - Incorporate activities that promote physical and mental well-being.
-            - Provide practical tips and techniques that participants can integrate into their daily routines.
-
-         7. **Ensure Alignment with Event Schedule**:
-            - Refer to the detailed event schedule to ensure the workshops fit within the allocated time slots:
-               <event_schedule>
-               {{EVENT_SCHEDULE}}
-               </event_schedule>
-
-         8. **Consider Team Formation Strategy**:
-            - Take into account the team formation strategy to ensure the workshops cater to diverse groups:
-               <team_formation>
-               {{TEAM_FORMATION}}
-               </team_formation>
-
-         9. **Create Detailed Workshop Plans**:
-            - For each workshop, provide a detailed plan that includes:
-               - Objectives and learning outcomes
-               - Agenda and timeline
-               - Materials and resources needed
-               - Facilitator guidelines
-               - Participant activities and exercises
-               - Evaluation methods
-
-         10. **Review and Finalize**:
-               - Ensure the workshop content aligns with the overall event goals and constraints.
-               - Make any necessary adjustments to ensure the workshops are engaging, informative, and relevant to the attendees.
-
-         Your final answer should be a detailed plan for each of the four workshops, including all the elements listed above.
-         """.strip()
-        ),
-        requirements=[
-            "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "TEAM_FORMATION": team_formation.value,
-        },
-    )
-    assert workshop_content.value is not None, (
-        'ERROR: task "workshop_content" execution failed'
-    )
-
-    # 10. Create a detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options. - - CATERING_PLAN
-    catering_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a detailed catering plan for the corporate team-building event. The catering plan should include options for breakfast, lunch, afternoon snacks, and dinner, ensuring a diverse menu that accommodates various dietary restrictions and preferences.
-
-         To approach this task, follow these steps:
-
-         1. **Review Gathered Information**:
-            Begin by reviewing the information gathered about the company and event requirements:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Understand the Event Schedule**:
-            Familiarize yourself with the event schedule to ensure the catering plan aligns with the timing of meals and breaks:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **Consider Dietary Restrictions**:
-            Use the team formation strategy, which includes a pre-event survey for dietary restrictions and preferences, to ensure the catering plan accommodates all attendees:
-            <team_formation>
-            {{TEAM_FORMATION}}
-            </team_formation>
-
-         4. **Breakfast Options**:
-            Plan a breakfast menu that includes a coffee station and pastries. Ensure there are options for different dietary needs, such as gluten-free, vegan, and lactose-free choices.
-
-         5. **Lunch Options**:
-            Design a lunch buffet with a variety of options, including a salad bar and hot entrees. Provide diverse menu choices to cater to different tastes and dietary restrictions.
-
-         6. **Afternoon Snacks**:
-            Plan for afternoon snacks that are light and refreshing. Consider options like fruits, vegetables, and healthy snacks to keep energy levels up during the event.
-
-         7. **Dinner Options**:
-            Create a dinner menu with three entree choices and a full bar. Ensure there are options for different dietary needs and preferences, such as vegetarian, vegan, and gluten-free choices.
-
-         8. **Allergen Labeling**:
-            Include allergen labeling for all food items to ensure the safety and well-being of all attendees.
-
-         9. **Sustainability Considerations**:
-            Incorporate sustainable practices into the catering plan, such as using reusable serving ware and minimizing food waste.
-
-         10. **Budget Constraints**:
-               Ensure the catering plan stays within the budget constraints outlined in the budget breakdown:
-               <budget_breakdown>
-               {{BUDGET_BREAKDOWN}}
-               </budget_breakdown>
-
-         11. **Finalize the Catering Plan**:
-               Compile all the information into a detailed catering plan that includes timings, menu options, and any special considerations.
-
-         Your final answer should be a comprehensive catering plan that meets all the requirements and constraints of the event.
-         """.strip()
-        ),
-        requirements=[
-            "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "TEAM_FORMATION": team_formation.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-        },
-    )
-    assert catering_plan.value is not None, (
-        'ERROR: task "catering_plan" execution failed'
-    )
-
-    # 11. Develop logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules. - - ACTIVITY_LOGISTICS
-    activity_logistics = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop detailed logistics for all planned activities for the corporate team-building event. This includes creating equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-
-         To approach this task, follow these steps:
-
-         1. **Review the Event Schedule and Activity Plans**:
-            - Carefully review the event schedule and the list of planned activities from the previous steps. These include icebreaker activities, workshops, team challenges, and other events.
-            - Ensure you have a clear understanding of the timeline and the sequence of activities.
-
-         2. **Create Equipment Lists**:
-            - For each activity, identify the necessary equipment and materials required.
-            - Ensure that the equipment lists are comprehensive and include all items needed for smooth execution.
-
-         3. **Develop Setup Instructions**:
-            - Provide detailed setup instructions for each activity.
-            - Include information on how to arrange the space, set up equipment, and prepare the area for participants.
-
-         4. **Establish Safety Protocols**:
-            - Develop safety protocols for each activity to ensure the well-being of all participants.
-            - Include guidelines for emergency procedures, first aid, and any specific safety measures related to the activity.
-
-         5. **Prepare Facilitator Guides**:
-            - Create facilitator guides that outline the roles and responsibilities of the activity facilitators.
-            - Include step-by-step instructions, tips for engaging participants, and any other relevant information.
-
-         6. **Design Scoring Systems**:
-            - For competitive activities, design scoring systems that are fair and transparent.
-            - Ensure that the scoring criteria are clearly communicated to all participants.
-
-         7. **Plan Rotation Schedules**:
-            - Develop rotation schedules for activities that involve multiple groups or teams.
-            - Ensure that the schedules are efficient and allow for smooth transitions between activities.
-
-         8. **Integrate with Other Plans**:
-            - Ensure that the activity logistics align with the catering plan, transportation plan, and other relevant aspects of the event.
-            - Coordinate with the technology plan to ensure that any necessary AV equipment or WiFi access is available.
-
-         9. **Review and Finalize**:
-            - Review all the logistics plans to ensure they are comprehensive and practical.
-            - Make any necessary adjustments to ensure that the activities run smoothly and safely.
-
-         Here is an example structure to guide your writing:
-         - **Activity Name**: [Name of the activity]
-         - **Equipment List**: [List of required equipment]
-         - **Setup Instructions**: [Detailed setup instructions]
-         - **Safety Protocols**: [Safety guidelines and emergency procedures]
-         - **Facilitator Guide**: [Roles and responsibilities, step-by-step instructions]
-         - **Scoring System**: [Scoring criteria and guidelines]
-         - **Rotation Schedule**: [Schedule for team rotations]
-
-         Ensure that each section is clearly outlined and provides all necessary information for the successful execution of the activity.
-
-         Finally, compile all the logistics plans into a detailed document that can be easily referenced during the event planning and execution phases.
-         """.strip()
-        ),
-        requirements=[
-            "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules"
-        ],
-        user_variables={},
-    )
-    assert activity_logistics.value is not None, (
-        'ERROR: task "activity_logistics" execution failed'
-    )
-
-    # 12. Create a transportation plan with charter buses, parking management, shuttle service, and contingency plans. - - TRANSPORTATION_PLAN
-    transportation_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a comprehensive transportation plan for the corporate team-building event. This plan should include charter buses, parking management, shuttle service, and contingency plans. Follow these steps to accomplish your task:
-
-         1. **Review Gathered Information**:
-            Start by reviewing the information gathered about the company, event requirements, and constraints. This will help you understand the specific needs and logistics of the event:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Understand the Event Schedule**:
-            Familiarize yourself with the detailed event schedule to ensure that the transportation plan aligns with the timing and logistics of the event:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **Develop Charter Bus Plan**:
-            Create a plan for charter buses that includes:
-            - Number of buses required based on the number of attendees.
-            - Pick-up and drop-off locations.
-            - Schedule for bus arrivals and departures.
-            - Cost estimates and budget considerations.
-
-         4. **Design Parking Management Plan**:
-            Develop a parking management plan that includes:
-            - Availability of parking spaces at the venue.
-            - Designated parking areas for attendees, staff, and vendors.
-            - Parking fees and payment methods.
-            - Accessibility considerations for attendees with disabilities.
-
-         5. **Create Shuttle Service Plan**:
-            Outline a shuttle service plan that includes:
-            - Routes and schedules for shuttles.
-            - Pick-up and drop-off points.
-            - Frequency of shuttle services.
-            - Cost estimates and budget considerations.
-
-         6. **Develop Contingency Plans**:
-            Prepare contingency plans for potential issues such as:
-            - Weather-related delays or cancellations.
-            - Mechanical failures of buses or shuttles.
-            - Unexpected changes in attendee numbers.
-            - Alternative transportation options in case of emergencies.
-
-         7. **Integrate with Other Logistics**:
-            Ensure that the transportation plan is integrated with other event logistics, such as registration, catering, and activities. This will help ensure a smooth and coordinated event experience.
-
-         8. **Finalize the Transportation Plan**:
-            Compile all the information into a detailed transportation plan that includes all the elements mentioned above. Ensure that the plan is clear, organized, and easy to follow.
-
-         Your final answer should be a comprehensive transportation plan that addresses all the requirements and considerations mentioned above.
-         """.strip()
-        ),
-        requirements=[
-            "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert transportation_plan.value is not None, (
-        'ERROR: task "transportation_plan" execution failed'
-    )
-
-    # 13. Design a registration process with online portal, on-site check-in, name tags, welcome packets, and staff training. - - REGISTRATION_PROCESS
-    registration_process = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a comprehensive registration process for the corporate team-building event. This process should include an online portal, on-site check-in, name tags, welcome packets, and staff training. Follow these steps to accomplish your task:
-
-         1. **Online Portal**:
-               - Design an online registration portal that allows employees to register for the event.
-               - Ensure the portal collects necessary information such as name, department, dietary restrictions, and any special needs.
-               - Include a confirmation email feature that sends registration details and event information to participants.
-
-         2. **On-Site Check-In**:
-               - Develop a streamlined on-site check-in process to ensure smooth and efficient entry for all attendees.
-               - Plan for check-in stations with clear signage and trained staff to assist participants.
-               - Consider using technology such as QR codes or barcode scanners to expedite the check-in process.
-
-         3. **Name Tags**:
-               - Design and prepare name tags for all attendees.
-               - Include the participant's name, department, and any additional information that may be relevant (e.g., dietary restrictions, accessibility needs).
-               - Ensure name tags are durable, easy to read, and can be worn comfortably throughout the event.
-
-         4. **Welcome Packets**:
-               - Create welcome packets that include essential event information such as the schedule, map of the venue, and any necessary forms or documents.
-               - Include a welcome letter from the event organizers or company executives.
-               - Add promotional items or swag to the packets to enhance the participant experience.
-
-         5. **Staff Training**:
-               - Develop a training program for event staff to ensure they are prepared to handle registration, check-in, and any issues that may arise.
-               - Train staff on the use of the online portal, check-in technology, and how to assist participants with special needs.
-               - Conduct mock drills to simulate the registration process and identify any potential issues or areas for improvement.
-
-         6. **Integration with Other Plans**:
-               - Ensure the registration process aligns with the overall event schedule, transportation plan, and safety plan.
-               - Coordinate with the technology plan to integrate any necessary tech solutions for registration and check-in.
-               - Consider the accessibility plan to ensure the registration process is inclusive and accommodates all participants.
-
-         7. **Contingency Planning**:
-               - Develop a contingency plan for potential issues such as technical difficulties with the online portal, high check-in volumes, or last-minute registrations.
-               - Ensure staff are trained to handle these scenarios and have backup plans in place.
-
-         8. **Review and Finalize**:
-               - Review the registration process to ensure it meets all requirements and aligns with the event's goals.
-               - Make any necessary adjustments and finalize the registration process.
-
-         Use the information gathered in the previous steps to guide your design. Ensure the registration process is user-friendly, efficient, and aligns with the overall event strategy.
-
-         <information_gathering>
-         {{INFORMATION_GATHERING}}
-         </information_gathering>
-
-         <planning_timeline>
-         {{PLANNING_TIMELINE}}
-         </planning_timeline>
-
-         <budget_breakdown>
-         {{BUDGET_BREAKDOWN}}
-         </budget_breakdown>
-
-         <marketing_strategy>
-         {{MARKETING_STRATEGY}}
-         </marketing_strategy>
-
-         <venue_selection>
-         {{VENUE_SELECTION}}
-         </venue_selection>
-
-         <event_schedule>
-         {{EVENT_SCHEDULE}}
-         </event_schedule>
-
-         <icebreaker_plans>
-         {{ICEBREAKER_PLANS}}
-         </icebreaker_plans>
-
-         <team_formation>
-         {{TEAM_FORMATION}}
-         </team_formation>
-
-         <workshop_content>
-         {{WORKSHOP_CONTENT}}
-         </workshop_content>
-
-         <catering_plan>
-         {{CATERING_PLAN}}
-         </catering_plan>
-
-         <activity_logistics>
-         {{ACTIVITY_LOGISTICS}}
-         </activity_logistics>
-
-         <transportation_plan>
-         {{TRANSPORTATION_PLAN}}
-         </transportation_plan>
-         """.strip()
-        ),
-        requirements=[
-            "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENUE_SELECTION": venue_selection.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "ICEBREAKER_PLANS": icebreaker_plans.value,
-            "TEAM_FORMATION": team_formation.value,
-            "WORKSHOP_CONTENT": workshop_content.value,
-            "CATERING_PLAN": catering_plan.value,
-            "ACTIVITY_LOGISTICS": activity_logistics.value,
-            "TRANSPORTATION_PLAN": transportation_plan.value,
-        },
-    )
-    assert registration_process.value is not None, (
-        'ERROR: task "registration_process" execution failed'
-    )
-
-    # 14. Develop a comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting. - - SAFETY_PLAN
-    safety_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive safety plan for the corporate team-building event. This plan should ensure the safety and well-being of all participants and staff. Follow these steps to accomplish your task:
-
-         1. **Understand the Event Details**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Identify Key Safety Components**:
-            The safety plan should include the following components:
-            - **Insurance**: Ensure that the event has adequate insurance coverage for all activities and participants.
-            - **First Aid Stations**: Plan for the setup of first aid stations at strategic locations within the venue.
-            - **Evacuation Procedures**: Develop clear evacuation procedures in case of emergencies.
-            - **Weather Contingencies**: Prepare contingency plans for adverse weather conditions.
-            - **Food Safety**: Implement food safety measures, including allergen labeling and proper handling procedures.
-            - **Security Personnel**: Arrange for security personnel to be present throughout the event.
-            - **Incident Reporting**: Establish a system for reporting and managing incidents during the event.
-
-         3. **Create Detailed Plans for Each Component**:
-            - **Insurance**: Specify the type and amount of insurance required, and ensure that all vendors and participants are covered.
-            - **First Aid Stations**: Determine the number and location of first aid stations, and ensure that they are staffed by qualified medical personnel.
-            - **Evacuation Procedures**: Develop a clear and concise evacuation plan, including designated assembly points and communication protocols.
-            - **Weather Contingencies**: Prepare alternative plans for outdoor activities in case of bad weather, including indoor alternatives and rescheduling options.
-            - **Food Safety**: Work with caterers to ensure that all food is prepared and served safely, with clear labeling of allergens.
-            - **Security Personnel**: Hire and brief security personnel on their roles and responsibilities, including crowd control and emergency response.
-            - **Incident Reporting**: Create a system for reporting incidents, including forms and protocols for documenting and addressing issues.
-
-         4. **Review and Finalize the Safety Plan**:
-            Ensure that the safety plan is comprehensive and addresses all potential risks and contingencies. Make any necessary adjustments to ensure that the plan is practical and effective.
-
-         5. **Output the Safety Plan**:
-            Provide the detailed safety plan as your final answer. The plan should be clear, concise, and easy to follow, ensuring that all safety measures are in place for a successful event.
-         """.strip()
-        ),
-        requirements=[
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert safety_plan.value is not None, 'ERROR: task "safety_plan" execution failed'
-
-    # 15. Create a vendor management strategy with selection criteria, contracts, payment schedules, and evaluation forms. - - VENDOR_MANAGEMENT
-    vendor_management = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a comprehensive vendor management strategy for the corporate team-building event. This strategy should include selection criteria, contracts, payment schedules, and evaluation forms. Follow these steps to accomplish your task:
-
-         1. **Understand the Requirements**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Define Selection Criteria**:
-            Develop a set of selection criteria for vendors. Consider factors such as:
-            - Experience and reputation
-            - Cost-effectiveness
-            - Availability and capacity
-            - Quality of services or products
-            - Compatibility with event goals and values
-            - Sustainability practices
-            - Customer reviews and references
-
-         3. **Create Contract Templates**:
-            Design standard contract templates that outline:
-            - Scope of work
-            - Deliverables
-            - Timeline and milestones
-            - Payment terms
-            - Cancellation and refund policies
-            - Liability and insurance requirements
-            - Confidentiality and data protection clauses
-
-         4. **Develop Payment Schedules**:
-            Establish payment schedules for each vendor category (e.g., venue rental, catering, entertainment, transportation, technology). Consider:
-            - Deposit amounts and due dates
-            - Progress payments tied to milestones
-            - Final payments upon completion
-            - Payment methods and invoicing procedures
-
-         5. **Design Evaluation Forms**:
-            Create evaluation forms to assess vendor performance. Include sections for:
-            - Quality of services or products
-            - Timeliness and reliability
-            - Professionalism and communication
-            - Adherence to budget and contract terms
-            - Customer feedback and satisfaction
-            - Recommendations for future events
-
-         6. **Compile the Vendor Management Strategy**:
-            Combine all the above elements into a cohesive vendor management strategy document. Ensure it is clear, detailed, and aligned with the event's goals and constraints.
-
-         Your final answer should be a comprehensive vendor management strategy document that includes selection criteria, contract templates, payment schedules, and evaluation forms.
-         """.strip()
-        ),
-        requirements=[
-            "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert vendor_management.value is not None, (
-        'ERROR: task "vendor_management" execution failed'
-    )
-
-    # 16. Design a technology plan with event app, AV equipment, WiFi, photography services, live streaming, and tech support. - - TECHNOLOGY_PLAN
-    technology_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a comprehensive technology plan for the corporate team-building event. This plan should ensure seamless integration of technology to enhance the event experience, facilitate smooth operations, and support all planned activities.
-
-         To accomplish this, follow these steps:
-
-         1. **Event App**:
-               - Design an event app that will serve as a central hub for scheduling, messaging, and real-time updates.
-               - Include features such as personalized schedules, team assignments, interactive maps, and push notifications.
-               - Ensure the app is user-friendly and accessible on both iOS and Android platforms.
-
-         2. **AV Equipment**:
-               - Plan for all necessary audio-visual equipment, including microphones, speakers, projectors, and screens.
-               - Ensure that the AV setup is compatible with the venue's infrastructure and meets the requirements for presentations, workshops, and the opening ceremony.
-
-         3. **WiFi**:
-               - Arrange for robust WiFi coverage capable of supporting 300+ devices simultaneously.
-               - Work with the venue and internet service providers to ensure reliable connectivity throughout the event.
-
-         4. **Photography Services**:
-               - Hire professional photographers to capture key moments during the event.
-               - Plan for photo backdrops, designated photo areas, and a system for sharing photos with participants post-event.
-
-         5. **Live Streaming**:
-               - Set up live streaming capabilities for any sessions that need to be broadcast to remote participants or recorded for future reference.
-               - Ensure high-quality video and audio streaming with minimal latency.
-
-         6. **Tech Support**:
-               - Assign a dedicated tech support team to troubleshoot any issues that arise during the event.
-               - Provide clear contact information and a quick response protocol for technical difficulties.
-
-         7. **Integration with Other Plans**:
-               - Coordinate with the marketing and communication strategy to ensure the event app and other technology tools are promoted effectively.
-               - Align with the registration process to integrate the event app with the online portal and on-site check-in.
-
-         8. **Safety and Contingency**:
-               - Include backup plans for technology failures, such as alternative AV setups and backup internet connections.
-               - Ensure that all technology plans comply with the safety plan and contingency planning.
-
-         9. **Budget Considerations**:
-               - Estimate the costs for each technology component and ensure they fit within the overall budget.
-               - Prioritize cost-effective solutions that meet the event's requirements without compromising quality.
-
-         10. **Documentation**:
-               - Create detailed documentation for each technology component, including setup instructions, user guides, and troubleshooting tips.
-               - Share this documentation with relevant stakeholders, including event staff, vendors, and participants.
-
-         Use the gathered information and previous steps to inform your technology plan. Ensure that all technology solutions are scalable, reliable, and enhance the overall event experience.
-
-         Finally, compile your technology plan into a clear and concise document that can be integrated into the comprehensive event strategy document.
-         """.strip()
-        ),
-        requirements=[
-            "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={},
-    )
-    assert technology_plan.value is not None, (
-        'ERROR: task "technology_plan" execution failed'
-    )
-
-    # 17. Develop a decoration strategy with signage, team colors, photo backdrops, and sustainable options. - - DECORATION_STRATEGY
-    decoration_strategy = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive decoration strategy for the corporate team-building event. This strategy should focus on creating an engaging and visually appealing environment that aligns with the event's goals and themes. Follow these steps to accomplish your task:
-
-         1. **Understand the Event Requirements**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Review the Event Schedule and Theme**:
-            Ensure that the decoration strategy aligns with the event schedule and overall theme. Refer to the event schedule and other relevant plans:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         3. **Develop Signage Strategy**:
-            Create a plan for signage that includes:
-            - Welcome signs at the entrance
-            - Directional signs for different event areas
-            - Informational signs for activities and workshops
-            - Team identification signs
-            Ensure that all signage is clear, visually appealing, and consistent with the event's branding.
-
-         4. **Design Team Colors and Identification**:
-            Develop a strategy for using team colors to identify different teams. This can include:
-            - Color-coded name tags and lanyards
-            - Team-specific decorations and signage
-            - Color-coordinated table settings and seating arrangements
-            Ensure that the team colors are easily distinguishable and contribute to a cohesive visual theme.
-
-         5. **Create Photo Backdrops**:
-            Design photo backdrops that are visually appealing and align with the event's theme. Consider:
-            - Themed backdrops for different event areas
-            - Customizable backdrops that can be personalized with team names or slogans
-            - Backdrops that incorporate the company's branding and colors
-            Ensure that the photo backdrops are easily accessible and encourage participants to take photos.
-
-         6. **Incorporate Sustainable Options**:
-            Develop a strategy for incorporating sustainable decoration options. This can include:
-            - Using reusable or recyclable materials
-            - Choosing eco-friendly signage and backdrops
-            - Implementing digital signage where possible
-            - Ensuring proper waste management and recycling practices
-            Ensure that the sustainable options are practical and do not compromise the visual appeal of the decorations.
-
-         7. **Review and Finalize the Strategy**:
-            Ensure that the decoration strategy is comprehensive and aligns with the event's goals and requirements. Make any necessary adjustments to ensure that the strategy is practical and effective.
-
-         Finally, write the decoration strategy document that includes all the above elements. This document will serve as a guide for implementing the decoration strategy during the event.
-         """.strip()
-        ),
-        requirements=[
-            "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert decoration_strategy.value is not None, (
-        'ERROR: task "decoration_strategy" execution failed'
-    )
-
-    # 18. Create an entertainment plan with live band or DJ, emcee, interactive activities, and evening games. - - ENTERTAINMENT_PLAN
-    entertainment_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create an entertainment plan for the corporate team-building event. The plan should include a live band or DJ, an emcee, interactive activities, and evening games. Follow these steps to accomplish your task:
-
-         1. **Review the Event Schedule**:
-            Ensure that the entertainment plan aligns with the event schedule. You can refer to the event schedule from the previous step:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         2. **Select Entertainment Options**:
-            Choose between a live band or a DJ for the event. Consider the preferences of the attendees and the overall theme of the event. Additionally, decide on an emcee who will guide the event and engage the audience.
-
-         3. **Plan Interactive Activities**:
-            Develop a list of interactive activities that will engage the attendees. These activities should be fun, inclusive, and align with the team-building goals of the event. Examples include trivia games, karaoke, and dance-offs.
-
-         4. **Design Evening Games**:
-            Create a list of evening games that will keep the attendees entertained and engaged. These games should be suitable for the time of day and the overall atmosphere of the event. Examples include casino night, poker tournaments, and photo booths.
-
-         5. **Coordinate with Other Plans**:
-            Ensure that the entertainment plan coordinates with other aspects of the event, such as the catering plan, technology plan, and decoration strategy. You can refer to the following plans from the previous steps:
-            <catering_plan>
-            {{CATERING_PLAN}}
-            </catering_plan>
-            <technology_plan>
-            {{TECHNOLOGY_PLAN}}
-            </technology_plan>
-            <decoration_strategy>
-            {{DECORATION_STRATEGY}}
-            </decoration_strategy>
-
-         6. **Create a Detailed Entertainment Plan**:
-            Write a detailed entertainment plan that includes the following information:
-            - **Live Band or DJ**: Specify the type of entertainment, the duration, and any specific requirements.
-            - **Emcee**: Provide details about the emcee, including their role and responsibilities.
-            - **Interactive Activities**: List the interactive activities, their duration, and any necessary equipment or setup.
-            - **Evening Games**: Describe the evening games, their duration, and any specific instructions or rules.
-
-         Ensure that the entertainment plan is comprehensive and covers all aspects of the event. The plan should be clear, concise, and easy to follow.
-
-         Finally, provide the detailed entertainment plan as your answer.
-         """.strip()
-        ),
-        requirements=[
-            "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={
-            "EVENT_SCHEDULE": event_schedule.value,
-            "CATERING_PLAN": catering_plan.value,
-            "TECHNOLOGY_PLAN": technology_plan.value,
-            "DECORATION_STRATEGY": decoration_strategy.value,
-        },
-    )
-    assert entertainment_plan.value is not None, (
-        'ERROR: task "entertainment_plan" execution failed'
-    )
-
-    # 19. Design a prize strategy with team prizes, individual awards, participation gifts, and raffle prizes. - - PRIZE_STRATEGY
-    prize_strategy = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to design a prize strategy for the corporate team-building event. The prize strategy should include team prizes, individual awards, participation gifts, and raffle prizes. Follow these steps to accomplish your task:
-
-         1. **Understand the Event Context**:
-            Review the gathered information about the company, event requirements, and constraints from the previous step:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Define Prize Categories**:
-            Identify the different categories of prizes needed for the event. These should include:
-            - **Team Prizes**: Prizes for the top-performing teams, such as first, second, and third place.
-            - **Individual Awards**: Recognition for outstanding individual performances or contributions.
-            - **Participation Gifts**: Small gifts or tokens of appreciation for all attendees.
-            - **Raffle Prizes**: Prizes to be raffled off during the event, which can be won by any attendee.
-
-         3. **Determine Prize Values**:
-            Based on the budget breakdown and the overall event budget, determine the appropriate values for each prize category. Ensure that the prize strategy aligns with the total estimated budget:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         4. **Plan Team Prizes**:
-            Design a tiered prize structure for team prizes. For example:
-            - **First Place Team Prize**: $500 value
-            - **Second Place Team Prize**: $300 value
-            - **Third Place Team Prize**: $200 value
-
-         5. **Plan Individual Awards**:
-            Identify criteria for individual awards, such as "Most Innovative Idea," "Best Team Player," or "Outstanding Leadership." Determine the type and value of each individual award.
-
-         6. **Plan Participation Gifts**:
-            Choose small, meaningful gifts that can be given to all attendees. These could include branded merchandise, gift cards, or other tokens of appreciation.
-
-         7. **Plan Raffle Prizes**:
-            Select a variety of raffle prizes that appeal to a broad range of attendees. Consider including high-value items, experiences, or other exciting prizes.
-
-         8. **Integrate with Event Schedule**:
-            Ensure that the prize strategy aligns with the event schedule, including when and how prizes will be awarded. Review the event schedule from the previous step:
-            <event_schedule>
-            {{EVENT_SCHEDULE}}
-            </event_schedule>
-
-         9. **Document the Prize Strategy**:
-            Compile all the information into a detailed prize strategy document. Include the following sections:
-            - **Team Prizes**: Description and value of each team prize.
-            - **Individual Awards**: Criteria and description of each individual award.
-            - **Participation Gifts**: Description and distribution plan for participation gifts.
-            - **Raffle Prizes**: Description and selection process for raffle prizes.
-
-         10. **Review and Finalize**:
-               Review the prize strategy to ensure it meets all event requirements and aligns with the overall event goals. Make any necessary adjustments to ensure clarity and completeness.
-
-         Your final answer should be a detailed prize strategy document that includes all the above information.
-         """.strip()
-        ),
-        requirements=[
-            "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes"
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-        },
-    )
-    assert prize_strategy.value is not None, (
-        'ERROR: task "prize_strategy" execution failed'
-    )
-
-    # 20. Develop a post-event evaluation plan with participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications. - - POST_EVENT_EVALUATION
-    post_event_evaluation = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive post-event evaluation plan for the corporate team-building event. This plan should include the following components:
-
-         1. **Participant Survey**:
-            - Design a survey to be sent within 24 hours of the event.
-            - Include questions that assess the overall experience, specific activities, workshops, catering, and any areas for improvement.
-            - Ensure the survey is concise, easy to complete, and covers all key aspects of the event.
-
-         2. **Debriefing Sessions**:
-            - Plan debriefing sessions with the event planning team and key stakeholders.
-            - Schedule these sessions within a week after the event to discuss what went well, what could be improved, and any lessons learned.
-            - Document the outcomes of these sessions for future reference.
-
-         3. **Budget Reconciliation**:
-            - Compare the actual expenses with the estimated budget.
-            - Identify any budget overruns or savings.
-            - Provide a detailed report on the financial performance of the event.
-
-         4. **Photo Compilation**:
-            - Gather all photos taken during the event.
-            - Create a digital album or slideshow to share with participants and stakeholders.
-            - Ensure the photos are organized and easily accessible.
-
-         5. **Impact Assessment**:
-            - Evaluate the impact of the event on team cohesion, cross-departmental collaboration, and morale.
-            - Use feedback from the participant survey and debriefing sessions to assess the event's success.
-            - Provide a summary of the event's overall impact and any measurable outcomes.
-
-         6. **Thank You Communications**:
-            - Prepare thank-you messages for all participants, vendors, and stakeholders.
-            - Include a brief summary of the event's success and express gratitude for their contributions.
-            - Send these communications within a week after the event.
-
-         To accomplish this task, follow these steps:
-
-         1. **Review Event Details**:
-            - Refer to the gathered information about the company, event requirements, and constraints:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Design the Participant Survey**:
-            - Create a survey that covers all key aspects of the event.
-            - Ensure the survey is user-friendly and can be completed quickly.
-
-         3. **Plan Debriefing Sessions**:
-            - Schedule sessions with the event planning team and key stakeholders.
-            - Prepare an agenda for each session to ensure productive discussions.
-
-         4. **Conduct Budget Reconciliation**:
-            - Compare actual expenses with the estimated budget.
-            - Identify any discrepancies and document the findings.
-
-         5. **Compile Photos**:
-            - Gather all photos from the event.
-            - Organize them into a digital album or slideshow.
-
-         6. **Assess Impact**:
-            - Use feedback from the survey and debriefing sessions to evaluate the event's impact.
-            - Provide a summary of the event's success and any measurable outcomes.
-
-         7. **Prepare Thank You Communications**:
-            - Draft thank-you messages for participants, vendors, and stakeholders.
-            - Include a brief summary of the event's success and express gratitude.
-
-         8. **Compile the Post-Event Evaluation Plan**:
-            - Combine all the components into a comprehensive post-event evaluation plan.
-            - Ensure the plan is clear, detailed, and ready for implementation.
-
-         Your final answer should be the complete post-event evaluation plan, including all the components mentioned above.
-         """.strip()
-        ),
-        requirements=[
-            "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert post_event_evaluation.value is not None, (
-        'ERROR: task "post_event_evaluation" execution failed'
-    )
-
-    # 21. Create an accessibility plan with ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation. - - ACCESSIBILITY_PLAN
-    accessibility_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create an accessibility plan for the corporate team-building event. This plan should ensure that the event is inclusive and accommodates the diverse needs of all attendees. Follow these steps to accomplish your task:
-
-         1. **Understand the Requirements**:
-            Review the gathered information about the company and event requirements to understand the specific needs and constraints related to accessibility:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **ADA Compliance**:
-            Ensure that the event venue and all activities comply with the Americans with Disabilities Act (ADA) standards. This includes:
-            - Accessible entry points and pathways
-            - Adequate space for mobility devices
-            - Accessible restrooms
-            - Clear signage and directions
-
-         3. **Interpreters and Assistive Technology**:
-            Plan for the provision of interpreters for attendees who are deaf or hard of hearing. Additionally, consider any assistive technology that may be required, such as:
-            - Hearing assistance devices
-            - Visual aids
-            - Braille materials
-
-         4. **Activity Modifications**:
-            Modify activities to ensure they are accessible to all attendees. This may include:
-            - Providing alternative activities for those who cannot participate in certain events
-            - Adjusting the difficulty level of activities
-            - Ensuring that all activities can be performed by individuals with varying abilities
-
-         5. **Dietary Accommodation**:
-            Accommodate dietary restrictions and preferences by:
-            - Offering a variety of food options that cater to different dietary needs (e.g., vegetarian, vegan, gluten-free, allergies)
-            - Clearly labeling all food items with allergen information
-            - Providing a pre-event survey to gather dietary information from attendees
-
-         6. **Inclusive Team Formation**:
-            Ensure that teams are formed inclusively by:
-            - Mixing departments and seniority levels
-            - Considering the abilities and preferences of each attendee
-            - Providing clear team assignments and communication channels
-
-         7. **Safety and Emergency Procedures**:
-            Develop safety and emergency procedures that are accessible to all attendees. This includes:
-            - Clear evacuation routes and procedures
-            - Accessible first aid stations
-            - Emergency contact information
-
-         8. **Communication Plan**:
-            Create a communication plan that ensures all attendees are informed about accessibility options and how to access them. This may include:
-            - Including accessibility information in event materials
-            - Providing a dedicated point of contact for accessibility-related questions
-            - Using multiple communication channels (e.g., email, event app, Slack)
-
-         9. **Review and Finalize**:
-            Review the accessibility plan to ensure it meets all requirements and addresses the diverse needs of the attendees. Make any necessary adjustments and finalize the plan.
-
-         Your final answer should be a comprehensive accessibility plan that includes all the elements outlined above.
-         """.strip()
-        ),
-        requirements=[
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation"
-        ],
-        user_variables={"INFORMATION_GATHERING": information_gathering.value},
-    )
-    assert accessibility_plan.value is not None, (
-        'ERROR: task "accessibility_plan" execution failed'
-    )
-
-    # 22. Create a contingency plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns. - - CONTINGENCY_PLANNING
-    contingency_planning = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to create a comprehensive contingency plan for the corporate team-building event. This plan should address potential risks and ensure the event can proceed smoothly despite unforeseen circumstances. Follow these steps to accomplish your task:
-
-         1. **Identify Potential Risks**:
-            - **Weather Emergencies**: Consider the possibility of extreme weather conditions that could disrupt the event. Think about both indoor and outdoor activities.
-            - **Vendor Cancellations**: Identify key vendors and the impact of their cancellation on the event.
-            - **Technology Failures**: Consider the technology requirements for the event and potential failures that could occur.
-            - **Medical Emergencies**: Plan for any medical emergencies that might arise during the event.
-            - **Budget Overruns**: Identify areas where budget overruns might occur and plan for alternative solutions.
-
-         2. **Develop Contingency Strategies**:
-            - **Weather Emergencies**:
-               - **Indoor Activities**: Have a backup plan for moving outdoor activities indoors.
-               - **Outdoor Activities**: Consider alternative dates or locations if necessary.
-               - **Communication**: Develop a communication plan to inform attendees of any changes due to weather.
-            - **Vendor Cancellations**:
-               - **Backup Vendors**: Identify and contract backup vendors for critical services.
-               - **Alternative Solutions**: Develop alternative solutions for essential services.
-            - **Technology Failures**:
-               - **Backup Equipment**: Ensure backup AV equipment and tech support are available.
-               - **Manual Processes**: Have manual processes in place in case of technology failures.
-            - **Medical Emergencies**:
-               - **First Aid Stations**: Ensure adequate first aid stations and trained personnel are available.
-               - **Emergency Protocols**: Develop clear protocols for handling medical emergencies.
-            - **Budget Overruns**:
-               - **Cost-Saving Measures**: Identify areas where costs can be reduced without compromising the event.
-               - **Contingency Fund**: Allocate a contingency fund to cover unexpected expenses.
-
-         3. **Implement and Monitor**:
-            - **Implementation**: Ensure all contingency plans are implemented as part of the overall event strategy.
-            - **Monitoring**: Continuously monitor the event for any signs of the identified risks and be prepared to activate the contingency plans as needed.
-
-         4. **Documentation**:
-            - **Contingency Plan Document**: Create a detailed contingency plan document that includes all the strategies developed. This document should be part of the comprehensive event strategy document.
-
-         5. **Review and Update**:
-            - **Regular Reviews**: Regularly review and update the contingency plan as the event approaches to ensure it remains relevant and effective.
-
-         Use the information gathered in the previous steps to inform your contingency planning. Ensure that all aspects of the event are covered and that the contingency plans are practical and feasible.
-
-         Finally, compile the contingency plan into a clear and concise document that can be easily referenced during the event planning and execution phases.
-         """.strip()
-        ),
-        requirements=[
-            "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={},
-    )
-    assert contingency_planning.value is not None, (
-        'ERROR: task "contingency_planning" execution failed'
-    )
-
-    # 23. Develop a sustainability plan with eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management. - - SUSTAINABILITY_PLAN
-    sustainability_plan = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to develop a comprehensive sustainability plan for the corporate team-building event. This plan should focus on minimizing the environmental impact of the event while ensuring a memorable and enjoyable experience for all participants.
-
-         To accomplish this, follow these steps:
-
-         1. **Understand the Event Requirements**:
-            Review the gathered information about the company, event requirements, and constraints:
-            <information_gathering>
-            {{INFORMATION_GATHERING}}
-            </information_gathering>
-
-         2. **Identify Key Sustainability Areas**:
-            Focus on the following key areas to create a sustainable event:
-            - **Eco-friendly Venue**: Select a venue that has eco-friendly practices, such as energy-efficient lighting, waste reduction programs, and sustainable building materials.
-            - **Local Catering**: Partner with local caterers who source ingredients locally and use sustainable practices. Ensure they offer diverse menu options that accommodate dietary restrictions.
-            - **Reusable Serving Ware**: Use reusable or compostable serving ware to minimize waste. Avoid single-use plastics and encourage the use of reusable cups, plates, and cutlery.
-            - **Digital Communications**: Utilize digital communications for invitations, reminders, and event information to reduce paper waste. Create a mobile event app for scheduling and messaging.
-            - **Recyclable Decorations**: Choose decorations that are recyclable or made from sustainable materials. Avoid non-biodegradable materials and opt for eco-friendly alternatives.
-            - **Waste Management**: Implement a comprehensive waste management plan that includes recycling stations, composting, and proper disposal of waste. Educate participants on the importance of waste reduction and proper disposal methods.
-
-         3. **Develop Detailed Strategies**:
-            For each key area, develop detailed strategies that outline the steps to be taken, the resources required, and the expected outcomes. Ensure that the strategies align with the overall event goals and constraints.
-
-         4. **Create a Sustainability Timeline**:
-            Integrate the sustainability plan into the overall event timeline. Ensure that sustainability initiatives are scheduled appropriately and that all necessary actions are taken in a timely manner.
-
-         5. **Budget Considerations**:
-            Review the budget breakdown to ensure that the sustainability plan is cost-effective and aligns with the total estimated budget:
-            <budget_breakdown>
-            {{BUDGET_BREAKDOWN}}
-            </budget_breakdown>
-
-         6. **Communication Plan**:
-            Develop a communication plan to inform participants about the sustainability initiatives. Use the marketing and communication strategy to promote the event's eco-friendly practices:
-            <marketing_strategy>
-            {{MARKETING_STRATEGY}}
-            </marketing_strategy>
-
-         7. **Vendor Management**:
-            Ensure that all vendors adhere to the sustainability plan. Include sustainability criteria in the vendor selection process and monitor their compliance throughout the event:
-            <vendor_management>
-            {{VENDOR_MANAGEMENT}}
-            </vendor_management>
-
-         8. **Post-Event Evaluation**:
-            Include sustainability metrics in the post-event evaluation plan. Assess the effectiveness of the sustainability initiatives and identify areas for improvement in future events:
-            <post_event_evaluation>
-            {{POST_EVENT_EVALUATION}}
-            </post_event_evaluation>
-
-         9. **Contingency Planning**:
-            Develop contingency plans for potential sustainability challenges, such as waste management issues or vendor non-compliance. Ensure that the contingency planning aligns with the overall event strategy:
-            <contingency_planning>
-            {{CONTINGENCY_PLANNING}}
-            </contingency_planning>
-
-         10. **Finalize the Sustainability Plan**:
-               Compile all the information into a detailed sustainability plan that outlines the strategies, timelines, budget considerations, communication plans, vendor management, post-event evaluation, and contingency planning.
-
-         Ensure that the sustainability plan is integrated into the comprehensive event strategy document and that all planning follows best practices, creates memorable experiences, accommodates diverse needs, stays within budget, prioritizes safety, incorporates sustainable practices, leverages technology, builds excitement, and measures success.
-         """.strip()
-        ),
-        requirements=[
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENDOR_MANAGEMENT": vendor_management.value,
-            "POST_EVENT_EVALUATION": post_event_evaluation.value,
-            "CONTINGENCY_PLANNING": contingency_planning.value,
-        },
-    )
-    assert sustainability_plan.value is not None, (
-        'ERROR: task "sustainability_plan" execution failed'
-    )
-
-    # 24. Compile all the information into a comprehensive event strategy document. - - EVENT_STRATEGY_DOCUMENT
-    event_strategy_document = m.instruct(
-        textwrap.dedent(
-            R"""
-         Your task is to compile all the information gathered and planned in the previous steps into a comprehensive event strategy document. This document will serve as the blueprint for executing the corporate team-building event.
-
-         To accomplish this, follow these steps:
-
-         1. **Review All Previous Steps**:
-            Carefully review the information and plans developed in the previous steps. This includes:
-            - Information Gathering: {{INFORMATION_GATHERING}}
-            - Planning Timeline: {{PLANNING_TIMELINE}}
-            - Budget Breakdown: {{BUDGET_BREAKDOWN}}
-            - Marketing Strategy: {{MARKETING_STRATEGY}}
-            - Venue Selection: {{VENUE_SELECTION}}
-            - Event Schedule: {{EVENT_SCHEDULE}}
-            - Icebreaker Plans: {{ICEBREAKER_PLANS}}
-            - Team Formation: {{TEAM_FORMATION}}
-            - Workshop Content: {{WORKSHOP_CONTENT}}
-            - Catering Plan: {{CATERING_PLAN}}
-            - Activity Logistics: {{ACTIVITY_LOGISTICS}}
-            - Transportation Plan: {{TRANSPORTATION_PLAN}}
-            - Registration Process: {{REGISTRATION_PROCESS}}
-            - Safety Plan: {{SAFETY_PLAN}}
-            - Vendor Management: {{VENDOR_MANAGEMENT}}
-            - Technology Plan: {{TECHNOLOGY_PLAN}}
-            - Decoration Strategy: {{DECORATION_STRATEGY}}
-            - Entertainment Plan: {{ENTERTAINMENT_PLAN}}
-            - Prize Strategy: {{PRIZE_STRATEGY}}
-            - Post-Event Evaluation: {{POST_EVENT_EVALUATION}}
-            - Accessibility Plan: {{ACCESSIBILITY_PLAN}}
-            - Sustainability Plan: {{SUSTAINABILITY_PLAN}}
-            - Contingency Planning: {{CONTINGENCY_PLANNING}}
-
-         2. **Organize the Information**:
-            Structure the event strategy document in a logical and coherent manner. Use clear headings and subheadings to organize the content. Here is a suggested structure:
-            - **Executive Summary**: A brief overview of the event's objectives, key highlights, and expected outcomes.
-            - **Event Overview**: Detailed description of the event, including its purpose, goals, and target audience.
-            - **Planning Timeline**: The detailed planning timeline starting 6 months before the event with weekly milestones.
-            - **Budget Breakdown**: Comprehensive breakdown of the budget for venue rental, catering, entertainment, transportation, technology, and total estimated budget.
-            - **Marketing and Communication Strategy**: Detailed strategy for save-the-date announcements, formal invitations, reminder emails, internal campaigns, and other communication methods.
-            - **Venue Selection**: Process for evaluating and selecting the best venue based on capacity, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi, catering facilities, accommodations, and cost-effectiveness.
-            - **Event Schedule**: Detailed event schedule from 8:00 AM to 8:00 PM including registration, breakfast, opening ceremony, icebreaker activities, workshops, lunch, team challenges, awards ceremony, and dinner with entertainment.
-            - **Icebreaker Activities**: List of 15 icebreaker activities with detailed plans.
-            - **Team Formation Strategy**: Strategy for forming diverse teams with a mix of departments and seniority, pre-event survey for dietary restrictions, and team assignments 2 weeks before the event.
-            - **Workshop Content**: Content for leadership, innovation, communication, and wellness workshops.
-            - **Catering Plan**: Detailed catering plan with breakfast, lunch, afternoon snacks, and dinner options.
-            - **Activity Logistics**: Logistics for all planned activities including equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules.
-            - **Transportation Plan**: Plan for charter buses, parking management, shuttle service, and contingency plans.
-            - **Registration Process**: Process for online portal, on-site check-in, name tags, welcome packets, and staff training.
-            - **Safety Plan**: Comprehensive safety plan including insurance, first aid stations, evacuation procedures, weather contingencies, food safety, security personnel, and incident reporting.
-            - **Vendor Management**: Strategy for vendor selection, contracts, payment schedules, and evaluation forms.
-            - **Technology Plan**: Plan for event app, AV equipment, WiFi, photography services, live streaming, and tech support.
-            - **Decoration Strategy**: Strategy for signage, team colors, photo backdrops, and sustainable options.
-            - **Entertainment Plan**: Plan for live band or DJ, emcee, interactive activities, and evening games.
-            - **Prize Strategy**: Strategy for team prizes, individual awards, participation gifts, and raffle prizes.
-            - **Post-Event Evaluation**: Plan for participant survey, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications.
-            - **Accessibility Plan**: Plan for ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation.
-            - **Sustainability Plan**: Plan for eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management.
-            - **Contingency Planning**: Plan for weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns.
-
-         3. **Compile the Document**:
-            Combine all the organized information into a single, cohesive document. Ensure that the document is well-structured, easy to read, and includes all necessary details for executing the event.
-
-         4. **Review and Finalize**:
-            Review the compiled document to ensure accuracy, completeness, and clarity. Make any necessary adjustments to ensure that the document meets all requirements and standards.
-
-         5. **Output the Event Strategy Document**:
-            Provide the final event strategy document as your answer. Ensure that the document is well-formatted and ready for use.
-         """.strip()
-        ),
-        requirements=[
-            "The event strategy document must include detailed planning timelines starting 6 months before the event with weekly milestones",
-            "The budget breakdowns must include venue rental at $15,000-25,000, catering at $75-125 per person, entertainment and activities at $10,000-20,000, transportation at $3,000-8,000, technology at $5,000-10,000, and total estimated budget of $50,000-125,000",
-            "The marketing and communication strategy must include save-the-date announcements 4 months in advance, formal invitations 2 months before, weekly reminder emails, internal campaigns, dedicated Slack channel, executive videos, and mobile event app",
-            "The venue selection process must evaluate 10 venues based on capacity for 100-300 people, accessibility, parking, indoor/outdoor space, AV capabilities, WiFi for 300+ devices, catering facilities, accommodations, and cost-effectiveness",
-            "The event schedule must include registration and breakfast at 8:00-9:00 AM, opening ceremony at 9:00-9:30 AM with CEO speech, icebreaker activities at 9:30-10:30 AM including human bingo and speed networking, morning workshops at 10:30 AM-12:30 PM with tracks on leadership, innovation, communication, and wellness, lunch at 12:30-2:00 PM with diverse menu options, afternoon team challenges at 2:00-5:00 PM including scavenger hunt, escape rooms, outdoor adventures, cooking competition, and sports tournaments, awards ceremony at 5:00-5:30 PM, and dinner with entertainment at 5:30-8:00 PM",
-            "The icebreaker plans must include 15 options including human knot, marshmallow tower, obstacle course, pictionary, charades, and trust falls",
-            "The team formation strategy must include diverse mix of departments and seniority in teams of 8-12 people, pre-event survey for dietary restrictions and preferences, and team assignments 2 weeks before with names and colors",
-            "The workshop content must include leadership case studies, innovation brainstorming, communication exercises, and wellness meditation",
-            "The catering plan must include breakfast coffee station and pastries, lunch buffet with salad bar and hot entrees, afternoon snacks, and dinner with three entree choices and full bar",
-            "The activity logistics must include equipment lists, setup instructions, safety protocols, facilitator guides, scoring systems, and rotation schedules",
-            "The transportation plan must include charter buses, parking management, shuttle service, and contingency plans",
-            "The registration process must include online portal, on-site check-in, name tags, welcome packets with schedule and swag, and staff training",
-            "The safety plan must include insurance, first aid stations, evacuation procedures, weather contingencies, food safety with allergen labeling, security personnel, and incident reporting",
-            "The vendor management strategy must include selection criteria, contracts, payment schedules, and evaluation forms",
-            "The technology plan must include event app for scheduling and messaging, AV equipment, WiFi for 300+ connections, photography services, live streaming, and tech support",
-            "The decoration strategy must include signage, team colors, photo backdrops, and sustainable options",
-            "The entertainment plan must include live band or DJ, emcee, interactive activities, and evening games",
-            "The prize strategy must include team prizes at $500, $300, and $200, individual awards, participation gifts, and raffle prizes",
-            "The post-event evaluation must include participant survey within 24 hours, debriefing sessions, budget reconciliation, photo compilation, impact assessment, and thank you communications",
-            "The accessibility plan must include ADA compliance, interpreters, activity modifications, dietary accommodation, and inclusive team formation",
-            "The sustainability plan must include eco-friendly venue, local catering, reusable serving ware, digital communications, recyclable decorations, and waste management",
-            "The contingency planning must include weather emergencies, vendor cancellations, technology failures, medical emergencies, and budget overruns",
-            "All planning must follow best practices, create memorable experiences, accommodate diverse needs, stay within budget, prioritize safety, incorporate sustainable practices, leverage technology, build excitement, and measure success",
-        ],
-        user_variables={
-            "INFORMATION_GATHERING": information_gathering.value,
-            "PLANNING_TIMELINE": planning_timeline.value,
-            "BUDGET_BREAKDOWN": budget_breakdown.value,
-            "MARKETING_STRATEGY": marketing_strategy.value,
-            "VENUE_SELECTION": venue_selection.value,
-            "EVENT_SCHEDULE": event_schedule.value,
-            "ICEBREAKER_PLANS": icebreaker_plans.value,
-            "TEAM_FORMATION": team_formation.value,
-            "WORKSHOP_CONTENT": workshop_content.value,
-            "CATERING_PLAN": catering_plan.value,
-            "ACTIVITY_LOGISTICS": activity_logistics.value,
-            "TRANSPORTATION_PLAN": transportation_plan.value,
-            "REGISTRATION_PROCESS": registration_process.value,
-            "SAFETY_PLAN": safety_plan.value,
-            "VENDOR_MANAGEMENT": vendor_management.value,
-            "TECHNOLOGY_PLAN": technology_plan.value,
-            "DECORATION_STRATEGY": decoration_strategy.value,
-            "ENTERTAINMENT_PLAN": entertainment_plan.value,
-            "PRIZE_STRATEGY": prize_strategy.value,
-            "POST_EVENT_EVALUATION": post_event_evaluation.value,
-            "ACCESSIBILITY_PLAN": accessibility_plan.value,
-            "SUSTAINABILITY_PLAN": sustainability_plan.value,
-            "CONTINGENCY_PLANNING": contingency_planning.value,
-        },
-    )
-    assert event_strategy_document.value is not None, (
-        'ERROR: task "event_strategy_document" execution failed'
-    )
-
-    final_answer = event_strategy_document.value
-
-    print(final_answer)
diff --git a/docs/examples/m_decompose/python/python_decompose_example.py b/docs/examples/m_decompose/python/python_decompose_example.py
index a1b951cc3..81962fcd3 100644
--- a/docs/examples/m_decompose/python/python_decompose_example.py
+++ b/docs/examples/m_decompose/python/python_decompose_example.py
@@ -176,7 +176,7 @@ def display_results(result: DecompPipelineResult):
     print(f"\n🔍 Constraints Identified ({len(result['identified_constraints'])}):")
     for i, constraint in enumerate(result["identified_constraints"], 1):
         print(f"  {i}. {constraint['constraint']}")
-        print(f"     Validation: {constraint['validation_strategy']}")
+        print(f"     Validation: {constraint['val_strategy']}")
 
     print(f"\n🎯 Detailed Subtasks ({len(result['subtasks'])}):")
     for i, subtask_detail in enumerate(result["subtasks"], 1):
diff --git a/docs/examples/m_decompose/small/m_decomp_result.json b/docs/examples/m_decompose/small/m_decomp_result.json
index 50cb497c9..378af18fe 100644
--- a/docs/examples/m_decompose/small/m_decomp_result.json
+++ b/docs/examples/m_decompose/small/m_decomp_result.json
@@ -11,35 +11,35 @@
   "identified_constraints": [
     {
       "constraint": "The shopping list must include decorations, food, drinks, party favors, and a cake that serves at least 20 people",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Suggest 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Write out a timeline for the party day starting from 2 hours before guests arrive until cleanup is done showing exactly when to do food prep, decoration setup, when each activity should happen, and when to serve food and cake",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Draft a cute invitation text that includes all the important details like date, time, location, RSVP information, and any special instructions about allergies or what kids should bring or wear",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Create a backup plan in case it rains",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "Everything must stay within a total budget of about ~$400",
-      "validation_strategy": "code"
+      "val_strategy": "code"
     },
     {
       "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     },
     {
       "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-      "validation_strategy": "llm"
+      "val_strategy": "llm"
     }
   ],
   "subtasks": [
@@ -49,19 +49,19 @@
       "constraints": [
         {
           "constraint": "The shopping list must include decorations, food, drinks, party favors, and a cake that serves at least 20 people",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "Everything must stay within a total budget of about ~$400",
-          "validation_strategy": "code"
+          "val_strategy": "code"
         },
         {
           "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to create a detailed shopping list with estimated costs for decorations, food, drinks, party favors, and a cake that serves at least 20 people, ensuring the total budget stays within $400. Follow these steps to accomplish your task:\n\n1. **Understand the Requirements**:\n   - The party is for an 8-year-old daughter who loves unicorns.\n   - The party theme colors are pink, purple, and gold.\n   - The party will have 15 kids from her class, but the cake should serve at least 20 people.\n   - The total budget should not exceed $400.\n   - Follow basic food safety guidelines, especially for kids with common allergies like nuts and dairy.\n\n2. **Categories to Include**:\n   - **Decorations**: Unicorn-themed decorations in pink, purple, and gold.\n   - **Food**: Finger foods and snacks suitable for kids.\n   - **Drinks**: Beverages that are kid-friendly.\n   - **Party Favors**: Small gifts or treats for each child.\n   - **Cake**: A unicorn-themed cake that serves at least 20 people.\n\n3. **Estimate Costs**:\n   - Research and list the estimated costs for each item.\n   - Ensure the total cost of all items does not exceed $400.\n\n4. **Create the Shopping List**:\n   - Organize the list by categories (decorations, food, drinks, party favors, cake).\n   - Include the name of each item, the estimated cost, and the quantity needed.\n   - Ensure all items fit within the unicorn theme and the specified colors.\n\n5. **Review the List**:\n   - Double-check that all necessary items are included.\n   - Verify that the total estimated cost is within the $400 budget.\n\n6. **Output the Shopping List**:\n   - Present the shopping list in a clear and organized format.\n   - Include the estimated cost for each item and the total estimated cost.\n\nHere is an example structure to guide your writing:\n- **Decorations**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Food**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Drinks**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Party Favors**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n  - Item 2: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n- **Cake**:\n  - Item 1: [Description], Quantity: [Number], Estimated Cost: [$Amount]\n\nEnsure that the shopping list is comprehensive and meets all the specified requirements.",
@@ -74,11 +74,11 @@
       "constraints": [
         {
           "constraint": "Suggest 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to suggest 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours. Follow these steps to accomplish your task:\n\n1. **Understand the Theme and Audience**:\n   - The party theme is unicorns, and the target audience is 8-year-old kids.\n   - The party should be fun, engaging, and age-appropriate.\n   - The theme colors are pink, purple, and gold.\n\n2. **Consider the Duration**:\n   - The activities should keep the kids entertained for about 3 hours.\n   - Plan a mix of active and passive games to maintain engagement.\n\n3. **Brainstorm Activity Ideas**:\n   - Think of games and activities that fit the unicorn theme.\n   - Ensure the activities are safe, fun, and suitable for 8-year-olds.\n   - Consider both indoor and outdoor activities in case of rain.\n\n4. **List the Activities**:\n   - Provide a list of 5-7 activities with brief descriptions.\n   - Include any necessary materials or preparations for each activity.\n   - Ensure the activities are varied to keep the kids interested.\n\n5. **Review the Shopping List**:\n   - Refer to the shopping list created in the previous step to ensure you have all the necessary materials for the activities:\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n\n6. **Finalize the Activities**:\n   - Ensure the activities are feasible within the budget and theme.\n   - Make sure the activities are safe and consider any common allergies or dietary restrictions.\n\nHere is an example structure to guide your suggestions:\n- **Activity 1**: [Description]\n- **Activity 2**: [Description]\n- **Activity 3**: [Description]\n- **Activity 4**: [Description]\n- **Activity 5**: [Description]\n- **Activity 6**: [Description]\n- **Activity 7**: [Description]\n\nEnsure each activity is clearly described and fits the unicorn theme. You should write only the activities, do not include the guidance structure.",
@@ -93,11 +93,11 @@
       "constraints": [
         {
           "constraint": "Write out a timeline for the party day starting from 2 hours before guests arrive until cleanup is done showing exactly when to do food prep, decoration setup, when each activity should happen, and when to serve food and cake",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to draft a detailed timeline for the birthday party day, starting from 2 hours before guests arrive until cleanup is done. The timeline should include food prep, decoration setup, and scheduling of activities, ensuring the party runs smoothly and stays within the allocated time.\n\nTo accomplish this, follow these steps:\n\n1. **Review the Shopping List and Party Games**:\n   First, review the shopping list and party games that have been prepared in the previous steps. This will help you understand the tasks that need to be scheduled and the activities that will take place during the party.\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n   <party_games>\n   {{PARTY_GAMES}}\n   </party_games>\n\n2. **Plan the Timeline**:\n   Create a timeline that starts 2 hours before the guests arrive and ends with the cleanup after the party. Include the following key elements:\n   - **Decoration Setup**: Schedule the setup of decorations, ensuring they are in place before guests arrive.\n   - **Food Prep**: Plan the preparation of food and drinks, including any last-minute tasks that need to be done just before serving.\n   - **Activity Schedule**: Allocate time slots for each of the 5-7 party games or activities, ensuring they are spaced out appropriately to keep the kids entertained for about 3 hours.\n   - **Food and Cake Serving**: Schedule the serving of food and cake, making sure it fits well within the activity timeline.\n   - **Cleanup**: Include a time slot for cleanup after the party, ensuring all tasks are completed efficiently.\n\n3. **Ensure Logical Flow**:\n   Make sure the timeline flows logically, with each task leading smoothly into the next. Consider the time required for each activity and the transitions between them.\n\n4. **Include Buffer Time**:\n   Add buffer time between activities to account for any unexpected delays or transitions.\n\n5. **Finalize the Timeline**:\n   Compile all the scheduled tasks into a clear and concise timeline. Ensure it is easy to follow and includes all necessary details.\n\nHere is an example structure to guide your writing:\n- **2 Hours Before Guests Arrive**: Start decoration setup and initial food prep.\n- **1.5 Hours Before Guests Arrive**: Complete decoration setup and continue food prep.\n- **1 Hour Before Guests Arrive**: Final touches on decorations and food prep.\n- **Guests Arrive**: Welcome guests and begin the first activity.\n- **Activity 1**: [Describe the activity and its duration]\n- **Activity 2**: [Describe the activity and its duration]\n- **Serve Food**: [Schedule the serving of food]\n- **Activity 3**: [Describe the activity and its duration]\n- **Serve Cake**: [Schedule the serving of cake]\n- **Activity 4**: [Describe the activity and its duration]\n- **Activity 5**: [Describe the activity and its duration]\n- **Cleanup**: [Schedule the cleanup tasks]\n\nEnsure that each time slot is clearly defined and that the timeline is easy to follow. You should write only the timeline, do not include the guidance structure.",
@@ -113,11 +113,11 @@
       "constraints": [
         {
           "constraint": "Draft a cute invitation text that includes all the important details like date, time, location, RSVP information, and any special instructions about allergies or what kids should bring or wear",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to create a cute invitation text for an 8-year-old's unicorn-themed birthday party. The invitation should include all the important details and follow the party's theme colors: pink, purple, and gold.\n\nTo accomplish this, follow these steps:\n\n1. **Gather Party Details**:\n   - Review the shopping list, party games, and timeline created in the previous steps to gather all necessary information:\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n   <party_games>\n   {{PARTY_GAMES}}\n   </party_games>\n   <party_timeline>\n   {{PARTY_TIMELINE}}\n   </party_timeline>\n\n2. **Include Essential Information**:\n   - **Date and Time**: Clearly state the date and time of the party.\n   - **Location**: Provide the address and any specific instructions for getting to the party location.\n   - **RSVP Information**: Include a contact email or phone number for RSVP and any deadline for responding.\n   - **Special Instructions**: Mention any allergies, what kids should bring or wear, and any other important notes.\n\n3. **Theme and Tone**:\n   - Use a cute and playful tone that fits the unicorn theme.\n   - Incorporate the theme colors (pink, purple, and gold) into the design and wording of the invitation.\n\n4. **Format the Invitation**:\n   - Use a clear and organized format, such as bullet points or paragraphs, to present the information.\n   - Make sure the invitation is easy to read and visually appealing.\n\n5. **Example Structure**:\n   - **Header**: A fun and colorful header that says \"Unicorn Birthday Party!\"\n   - **Body**:\n     - \"You're invited to [Child's Name]'s Unicorn Birthday Party!\"\n     - \"Date: [Date]\"\n     - \"Time: [Time]\"\n     - \"Location: [Location]\"\n     - \"RSVP by [Date] to [Email/Phone Number]\"\n     - \"Special Instructions: [Allergies, what to bring or wear, etc.]\"\n   - **Footer**: A cute closing line like \"Hope to see you there for a magical time!\"\n\n6. **Review and Finalize**:\n   - Ensure all important details are included and the invitation is error-free.\n   - Make any necessary adjustments to ensure the invitation is clear, cute, and fits the unicorn theme.\n\nFinally, write the cute invitation text based on the above guidelines and provide it as your answer.",
@@ -134,7 +134,7 @@
       "constraints": [
         {
           "constraint": "Create a backup plan in case it rains",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to develop a backup plan in case it rains, ensuring all activities can be moved indoors. Follow these steps to accomplish your task:\n\nFirst, review the shopping list, party games, timeline, and invitation text from the previous steps to understand the party setup and activities:\n<shopping_list>\n{{SHOPPING_LIST}}\n</shopping_list>\n<party_games>\n{{PARTY_GAMES}}\n</party_games>\n<party_timeline>\n{{PARTY_TIMELINE}}\n</party_timeline>\n<invitation_text>\n{{INVITATION_TEXT}}\n</invitation_text>\n\nNext, consider the following factors for the backup plan:\n1. **Indoor Space**: Ensure that the indoor space is large enough to accommodate all the activities and guests comfortably.\n2. **Activity Adjustments**: Modify the party games and activities to fit the indoor space. Consider the following:\n   - **Space Constraints**: Ensure that games like \"Pin the Horn on the Unicorn\" or \"Unicorn Ring Toss\" can be played indoors without any hazards.\n   - **Noise Levels**: Adjust activities to minimize noise, especially if the party is in a residential area.\n   - **Safety**: Ensure that all indoor activities are safe and age-appropriate.\n3. **Food and Drinks**: Plan how to serve food and drinks indoors. Consider using tables or a buffet-style setup to minimize clutter.\n4. **Decorations**: Adjust the decoration setup to fit the indoor space. Ensure that the decorations are still visually appealing and fit the unicorn theme.\n5. **Timeline Adjustments**: Modify the party timeline to account for indoor activities. Ensure that the timeline is still efficient and keeps the kids entertained.\n\nFinally, write a detailed backup plan that includes:\n- **Indoor Activity Schedule**: A list of adjusted activities with their respective times.\n- **Indoor Setup Instructions**: Detailed instructions on how to set up the indoor space, including decorations, food, and drink stations.\n- **Safety Guidelines**: Any additional safety guidelines or considerations for indoor activities.\n\nEnsure that the backup plan is clear, concise, and easy to follow. The plan should allow for a smooth transition from outdoor to indoor activities in case of rain.",
@@ -152,15 +152,15 @@
       "constraints": [
         {
           "constraint": "Everything must stay within a total budget of about ~$400",
-          "validation_strategy": "code"
+          "val_strategy": "code"
         },
         {
           "constraint": "Follow basic food safety guidelines especially for kids with common allergies like nuts and dairy",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         },
         {
           "constraint": "The party theme colors should be pink, purple, and gold to match the unicorn decorations",
-          "validation_strategy": "llm"
+          "val_strategy": "llm"
         }
       ],
       "prompt_template": "Your task is to compile the shopping list, party games, timeline, invitation text, and backup plan into a single cohesive output for the birthday party. Follow these steps to accomplish your task:\n\n1. **Review the Shopping List**:\n   Carefully review the detailed shopping list with estimated costs for decorations, food, drinks, party favors, and a cake that serves at least 20 people. Ensure the total budget stays within $400.\n   <shopping_list>\n   {{SHOPPING_LIST}}\n   </shopping_list>\n\n2. **Review the Party Games**:\n   Review the suggested 5-7 age-appropriate party games or activities that fit the unicorn theme and can keep the kids entertained for about 3 hours.\n   <party_games>\n   {{PARTY_GAMES}}\n   </party_games>\n\n3. **Review the Party Timeline**:\n   Review the timeline for the party day starting from 2 hours before guests arrive until cleanup is done, including food prep, decoration setup, and scheduling of activities.\n   <party_timeline>\n   {{PARTY_TIMELINE}}\n   </party_timeline>\n\n4. **Review the Invitation Text**:\n   Review the cute invitation text that includes all the important details like date, time, location, RSVP information, and any special instructions about allergies or what kids should bring or wear.\n   <invitation_text>\n   {{INVITATION_TEXT}}\n   </invitation_text>\n\n5. **Review the Backup Plan**:\n   Review the backup plan in case it rains, ensuring all activities can be moved indoors.\n   <backup_plan>\n   {{BACKUP_PLAN}}\n   </backup_plan>\n\n6. **Compile the Information**:\n   Combine all the reviewed information into a single cohesive output. Ensure that the output is well-organized and easy to follow. Include the following sections in your final output:\n   - **Shopping List**: Detailed list with estimated costs.\n   - **Party Games**: Suggested activities with descriptions.\n   - **Party Timeline**: Step-by-step schedule for the party day.\n   - **Invitation Text**: Cute and informative text for parents.\n   - **Backup Plan**: Plan for indoor activities in case of rain.\n\n7. **Final Output**:\n   Present the compiled information in a clear and concise manner. Ensure that all details are included and that the output is easy to read and understand.\n\nYour final output should be a comprehensive guide that includes all the necessary information for planning and executing the birthday party.",

From 9dae4d43cf5be21b3410fda8b4b56283bbd955b1 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Wed, 11 Mar 2026 04:37:35 +0000
Subject: [PATCH 16/38] upd: compatible to the refactored codes

---
 cli/decompose/decompose.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 55c80163a..60ced3c9c 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -2,7 +2,7 @@
 import keyword
 import re
 import shutil
-from enum import Enum
+from enum import StrEnum
 from graphlib import TopologicalSorter
 from pathlib import Path
 from typing import Annotated

From d8a028a10c97271c08066e4b471fd4377851f708 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu.cs@gmail.com>
Date: Wed, 11 Mar 2026 02:06:20 -0400
Subject: [PATCH 17/38] Create README.md

---
 cli/decompose/pipeline.py                     |  12 +-
 docs/examples/m_decompose/README.md           | 104 ++++++++++++++++++
 .../python/python_decompose_example.py        |   6 +-
 3 files changed, 112 insertions(+), 10 deletions(-)
 create mode 100644 docs/examples/m_decompose/README.md

diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index 5d5191734..a7df2fad7 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -123,12 +123,8 @@ def decompose(
         m_session, task_prompt, enforce_same_words=False
     ).parse()
 
-    constraint_val_strategy: dict[
-        str, dict[Literal["val_strategy"], Literal["code", "llm"]]
-    ] = {
-        cons_key: {
-            "val_strategy": validation_decision.generate(m_session, cons_key).parse()
-        }
+    constraint_validation_strategies: dict[str, Literal["code", "llm"]] = {
+        cons_key: validation_decision.generate(m_session, cons_key).parse() or "llm"
         for cons_key in task_prompt_constraints
     }
 
@@ -168,9 +164,9 @@ def decompose(
                     "constraint": cons_str,
                     "val_strategy": constraint_val_data[cons_str]["val_strategy"],
                     "val_fn_name": f"val_fn_{task_prompt_constraints.index(cons_str) + 1}",
-                    # >> Always include generated "val_fn" code (experimental)
+                    # Always include generated "val_fn" code (experimental)
                     "val_fn": constraint_val_data[cons_str]["val_fn"],
-                    # >> Include generated "val_fn" code only for the last subtask (experimental)
+                    # Include generated "val_fn" code only for the last subtask (experimental)
                     # "val_fn": constraint_val_data[cons_str]["val_fn"]
                     # if subtask_i + 1 == len(subtask_prompts_with_constraints)
                     # else None,
diff --git a/docs/examples/m_decompose/README.md b/docs/examples/m_decompose/README.md
new file mode 100644
index 000000000..28fdf94e8
--- /dev/null
+++ b/docs/examples/m_decompose/README.md
@@ -0,0 +1,104 @@
+# m_decompose
+
+This module with the example demonstrates **task decomposition pipelines** built with *Mellea generative programs*.
+
+Instead of solving a complex task with a single prompt, the system first **decomposes the task into subtasks**, then executes them sequentially through a assembled pipeline.
+
+This pattern improves reasoning quality, interpretability, and modularity in LLM-powered systems.
+
+---
+
+# Overview
+
+Many complex tasks contain multiple reasoning steps.  
+The `m_decompose` pipeline handles this by splitting the task into smaller units.
+
+```
+User Request
+     ↓
+Task Decomposition
+     ↓
+Subtasks
+     ↓
+Task Execution
+     ↓
+Final Result
+```
+
+Rather than writing a large prompt, the workflow uses **generative modules and reusable prompts**.
+
+---
+
+# Directory
+
+```
+m_decompose/
+├── decompose.py
+├── pipeline.py
+├── prompt_modules
+└── README.md
+```
+
+**decompose.py**
+
+Generates the refined subtasks from the user request.
+
+**pipeline.py**
+
+Runs the full workflow:
+
+1. decompose the task  
+2. execute subtasks  
+3. aggregate results
+
+**prompt_modules**
+
+Reusable prompt components used by the pipeline.
+
+**m_decomp_result_v1.py.jinja2**
+
+Template used to format the final output.
+
+---
+
+# Quick Start
+
+Example usage:
+
+```python
+from mellea.cli.decompose.pipeline import decompose, DecompBackend
+import json
+
+query = """Our company is planning a large corporate team-building event later this year, and I need help putting together a complete strategy and execution plan.
+
+The event will likely involve somewhere between 100 and 300 employees and the goal is to strengthen team cohesion, improve collaboration across departments, boost morale, and create a memorable experience for everyone involved. I’d like you to help me create a full event strategy document that covers everything from early planning through post-event evaluation."""
+
+result = decompose(
+    task_prompt=query,
+    model_id="mistralai/Mistral-Small-3.2-24B-Instruct-2506",
+    backend=DecompBackend.openai,
+    backend_endpoint="http://localhost:8000/v1",
+    backend_api_key="EMPTY",
+)
+
+print(json.dumps(result, indent=2, ensure_ascii=False))
+```
+
+
+The pipeline then executes each step and produces the final answer.
+
+---
+
+# What This Example Shows
+
+This example highlights three key ideas:
+
+- **Task Decomposition** — break complex problems into smaller reasoning steps.  
+- **Generative Pipelines** — conduct LLM workflows as an programmatic pipeline instead of single prompts.  
+- **Modular Prompts** — separate prompt design from execution logic using reusable modules.
+
+---
+
+# Summary
+
+`m_decompose` shows how to build **LLM pipelines** using task decomposition.
diff --git a/docs/examples/m_decompose/python/python_decompose_example.py b/docs/examples/m_decompose/python/python_decompose_example.py
index 81962fcd3..d8d31ad23 100644
--- a/docs/examples/m_decompose/python/python_decompose_example.py
+++ b/docs/examples/m_decompose/python/python_decompose_example.py
@@ -32,7 +32,7 @@ def run_decompose(task_prompt: str) -> DecompPipelineResult:
 
     result = decompose(
         task_prompt=task_prompt,
-        model_id="granite4:micro",
+        model_id="granite3.3:8b",  # Note micro will not properly create tags, need 8b
         backend=DecompBackend.ollama,  # Use Ollama backend
         backend_req_timeout=300,  # 5 minute timeout
     )
@@ -84,7 +84,9 @@ def generate_python_script(
     print("\n📝 Generating executable Python script...")
 
     # Load the template from the CLI decompose directory
-    cli_decompose_dir = Path(__file__).parent.parent.parent.parent / "cli" / "decompose"
+    cli_decompose_dir = (
+        Path(__file__).parent.parent.parent.parent.parent / "cli" / "decompose"
+    )
     environment = Environment(
         loader=FileSystemLoader(cli_decompose_dir), autoescape=False
     )

From dd142291b13810021823b179b6c10d581477957f Mon Sep 17 00:00:00 2001
From: Frederico Araujo <araujof@users.noreply.github.com>
Date: Wed, 11 Mar 2026 11:43:10 -0400
Subject: [PATCH 18/38] feat: hook system and plugin support for Mellea (#582)

* docs: add initial specification for extensibility hooks in Mellea

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: update hook system spec to factor component hooks and address design drifts

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: add clarifications for component hook payload fields and additional suggestions by maintainers

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: add implementation plan

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: update implementation plan

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: minor cleanups to implementation plan

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: update to reflect programmatic and functional-first design

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: specify hook payload write protection

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: add optional dependency for plugin framework

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: implemented hook system and initial set of hook types

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: add plugin examples

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: update examples to use MelleaHookType enum

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: add PluginMode enum

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: drop estimated_tokens from generation_pre_call payload

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: add context manager  block support for plugins and plugin sets

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: update hook system specification to document with-block support

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: removed unused imports

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: implement tool hooks

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: update example for tool call hooks

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: tune internal log levels for clarity

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: tune internal log levels for clarity

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: updated spec with not implemented payload fields

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: minor implementaiton bugs and tests

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* Update hook_system.md

Added implementation priorities to Hook Table.

* refactor: use cpex package; update handling of modified_payloads

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: update lock file

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: bump cpex version to 0.1.0.dev2

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: mode semantics

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: implemented fire_and_forget mode

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: update execution mode map

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: update plugin modes and specs

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: update examples with concurrent hooks

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: update examples

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: refine has_plugins to accept hook type

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: update cpex version

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: cleanup

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: tool call hook types

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: tool hooks example; payload mutation handling

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: PR review comments

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: renamed dependency group from cpex to hooks

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: lint and formatting fixes

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: mypy and remaining lint issues

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: updated specs to reflect implementation changes

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: backend generate_from_context wrapper

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: generation pre call

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: generation_post_call hook placement

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: added modify result object, unregister function, other cleanups

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* feat: improve handling of generate_post_call

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: previously existing mypy issues (can be cherry picked to fix main branch)

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: improves invoke_hook function; deduplicate context and other objects passed to plugins

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: update hook specs

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: drop backend_kwargs from session_pre_init payload

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: improvements and bug fixes

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: remove unimplemented generation_stream_chunk from hook type enum

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: regression introduced with weakrefs

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: cleanup

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: add tutorial-style examples for plugins

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* chore: fix formatting issues in new examples

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: drop weakrefs, unwrap session in payloads, and refactor execution modes

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: clarify payload mutability approach in docstring

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: update hook spec to document payload mutability approach

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: set default to silence plugin errors; added acceptance tests for plugins

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* fix: minor regressions in examples

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: initial user docs for plugins

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: converted a few writable fields into observe-only fields in hook payloads

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* docs: minor updates and nits to the plugin docs

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>

* refactor: move pre and post gen hooks

* refactor: modify plugin fixture and fix tests

* refactor: refactor tests for hook_call sites

* refactor: move to local imports for hooks; fix pre-commit issues

* fix: add back type error ignore

---------

Signed-off-by: Frederico Araujo <frederico.araujo@ibm.com>
Co-authored-by: Hendrik Strobelt <HendrikStrobelt@users.noreply.github.com>
Co-authored-by: Jake LoRocco <jake.lorocco@ibm.com>
---
 docs/dev/hook_system.md                       | 1769 +++++
 docs/dev/hook_system_implementation_plan.md   | 1230 ++++
 docs/docs/core-concept/plugins.mdx            |  970 +++
 docs/docs/docs.json                           |    3 +-
 docs/examples/plugins/__init__.py             |    0
 docs/examples/plugins/class_plugin.py         |  128 +
 docs/examples/plugins/execution_modes.py      |  130 +
 docs/examples/plugins/payload_modification.py |  106 +
 docs/examples/plugins/plugin_scoped.py        |  191 +
 .../plugins/plugin_set_composition.py         |  155 +
 docs/examples/plugins/quickstart.py           |   38 +
 docs/examples/plugins/session_scoped.py       |  109 +
 docs/examples/plugins/standalone_hooks.py     |   97 +
 docs/examples/plugins/testing_plugins.py      |  133 +
 docs/examples/plugins/tool_hooks.py           |  459 ++
 docs/examples/tools/interpreter_example.py    |    6 +-
 mellea/backends/dummy.py                      |    2 +-
 mellea/backends/huggingface.py                |    8 +-
 mellea/backends/litellm.py                    |    3 +-
 mellea/backends/ollama.py                     |    3 +-
 mellea/backends/openai.py                     |    3 +-
 mellea/backends/vllm.py                       |    3 +-
 mellea/backends/watsonx.py                    |    3 +-
 mellea/core/backend.py                        |   56 +-
 mellea/core/base.py                           |   42 +
 mellea/formatters/granite/retrievers/util.py  |    2 +-
 mellea/plugins/__init__.py                    |   29 +
 mellea/plugins/base.py                        |  243 +
 mellea/plugins/context.py                     |   36 +
 mellea/plugins/decorators.py                  |   49 +
 mellea/plugins/hooks/__init__.py              |   48 +
 mellea/plugins/hooks/component.py             |   82 +
 mellea/plugins/hooks/generation.py            |   48 +
 mellea/plugins/hooks/sampling.py              |  101 +
 mellea/plugins/hooks/session.py               |   64 +
 mellea/plugins/hooks/tool.py                  |   39 +
 mellea/plugins/hooks/validation.py            |   43 +
 mellea/plugins/manager.py                     |  200 +
 mellea/plugins/pluginset.py                   |   93 +
 mellea/plugins/policies.py                    |   84 +
 mellea/plugins/registry.py                    |  487 ++
 mellea/plugins/types.py                       |  151 +
 mellea/stdlib/components/instruction.py       |    1 +
 mellea/stdlib/components/mify.py              |   11 +-
 mellea/stdlib/functional.py                   |  365 +-
 mellea/stdlib/sampling/base.py                |   98 +-
 mellea/stdlib/session.py                      |   72 +-
 pyproject.toml                                |    8 +-
 test/conftest.py                              |   60 +
 .../test_astream_exception_propagation.py     |    3 +
 test/plugins/__init__.py                      |    0
 test/plugins/_acceptance_sets.py              |   53 +
 test/plugins/test_all_payloads.py             |  973 +++
 test/plugins/test_blocking.py                 |  273 +
 test/plugins/test_build_global_context.py     |   68 +
 test/plugins/test_decorators.py               |   86 +
 test/plugins/test_execution_modes.py          |  644 ++
 test/plugins/test_hook_call_sites.py          |  962 +++
 test/plugins/test_manager.py                  |  146 +
 test/plugins/test_mellea_plugin.py            |  173 +
 test/plugins/test_payloads.py                 |  110 +
 test/plugins/test_pluginset.py                |   55 +
 test/plugins/test_policies.py                 |   50 +
 test/plugins/test_policy_enforcement.py       |  329 +
 test/plugins/test_priority_ordering.py        |  483 ++
 test/plugins/test_scoping.py                  |  616 ++
 test/plugins/test_tool_hooks_redaction.py     |  235 +
 test/plugins/test_unregister.py               |  223 +
 uv.lock                                       | 5828 +++++++++--------
 69 files changed, 16686 insertions(+), 2685 deletions(-)
 create mode 100644 docs/dev/hook_system.md
 create mode 100644 docs/dev/hook_system_implementation_plan.md
 create mode 100644 docs/docs/core-concept/plugins.mdx
 create mode 100644 docs/examples/plugins/__init__.py
 create mode 100644 docs/examples/plugins/class_plugin.py
 create mode 100644 docs/examples/plugins/execution_modes.py
 create mode 100644 docs/examples/plugins/payload_modification.py
 create mode 100644 docs/examples/plugins/plugin_scoped.py
 create mode 100644 docs/examples/plugins/plugin_set_composition.py
 create mode 100644 docs/examples/plugins/quickstart.py
 create mode 100644 docs/examples/plugins/session_scoped.py
 create mode 100644 docs/examples/plugins/standalone_hooks.py
 create mode 100644 docs/examples/plugins/testing_plugins.py
 create mode 100644 docs/examples/plugins/tool_hooks.py
 create mode 100644 mellea/plugins/__init__.py
 create mode 100644 mellea/plugins/base.py
 create mode 100644 mellea/plugins/context.py
 create mode 100644 mellea/plugins/decorators.py
 create mode 100644 mellea/plugins/hooks/__init__.py
 create mode 100644 mellea/plugins/hooks/component.py
 create mode 100644 mellea/plugins/hooks/generation.py
 create mode 100644 mellea/plugins/hooks/sampling.py
 create mode 100644 mellea/plugins/hooks/session.py
 create mode 100644 mellea/plugins/hooks/tool.py
 create mode 100644 mellea/plugins/hooks/validation.py
 create mode 100644 mellea/plugins/manager.py
 create mode 100644 mellea/plugins/pluginset.py
 create mode 100644 mellea/plugins/policies.py
 create mode 100644 mellea/plugins/registry.py
 create mode 100644 mellea/plugins/types.py
 create mode 100644 test/plugins/__init__.py
 create mode 100644 test/plugins/_acceptance_sets.py
 create mode 100644 test/plugins/test_all_payloads.py
 create mode 100644 test/plugins/test_blocking.py
 create mode 100644 test/plugins/test_build_global_context.py
 create mode 100644 test/plugins/test_decorators.py
 create mode 100644 test/plugins/test_execution_modes.py
 create mode 100644 test/plugins/test_hook_call_sites.py
 create mode 100644 test/plugins/test_manager.py
 create mode 100644 test/plugins/test_mellea_plugin.py
 create mode 100644 test/plugins/test_payloads.py
 create mode 100644 test/plugins/test_pluginset.py
 create mode 100644 test/plugins/test_policies.py
 create mode 100644 test/plugins/test_policy_enforcement.py
 create mode 100644 test/plugins/test_priority_ordering.py
 create mode 100644 test/plugins/test_scoping.py
 create mode 100644 test/plugins/test_tool_hooks_redaction.py
 create mode 100644 test/plugins/test_unregister.py

diff --git a/docs/dev/hook_system.md b/docs/dev/hook_system.md
new file mode 100644
index 000000000..dcaa7d5f0
--- /dev/null
+++ b/docs/dev/hook_system.md
@@ -0,0 +1,1769 @@
+# Mellea Plugin Hook System Design Document
+
+Mellea's hook system provides extension points for deployed generative AI applications that need policy enforcement, observability, and customization without modifying core library code. Hooks enable plugins to register and respond to events throughout the framework's execution lifecycle, from session initialization through generation, validation, and cleanup.
+
+## 1. Overview
+
+### Design Principles
+
+1. **Consistent Interface**: All hooks follow the same async pattern with payload and context parameters
+2. **Composable**: Multiple plugins can register for the same hook, executing in priority order
+3. **Fail-safe**: Hook failures can be handled gracefully without breaking core execution
+4. **Minimal Intrusion**: Plugins are opt-in; default Mellea behavior remains unchanged without plugins. Plugins work identically whether invoked through a session (`m.instruct(...)`) or via the functional API (`instruct(backend, context, ...)`)
+5. **Architecturally Aligned**: Hook categories reflect Mellea's true abstraction boundaries — Session lifecycle, Component lifecycle, and the (Backend, Context) generation pipeline
+6. **Code-First**: Plugins are defined and composed in Python. The `@hook` decorator and `Plugin` base class are the primary registration mechanisms; YAML configuration is a secondary option for deployment-time overrides
+7. **Functions-First**: The simplest plugin is a plain async function decorated with `@hook`. Class-based plugins (via the `Plugin` base class) exist for stateful, multi-hook scenarios but are not required
+
+### Hook Method Signature
+
+All hooks follow this consistent async pattern:
+
+```python
+# Standalone function hook (primary)
+@hook("hook_name", mode=PluginMode.SEQUENTIAL, priority=50)
+async def my_hook(
+    payload: PluginPayload,
+    context: PluginContext
+) -> PluginResult | None
+
+# Class-based method hook
+class MyPlugin(Plugin, name="my-plugin"):
+    @hook("hook_name")
+    async def my_hook(
+        self,
+        payload: PluginPayload,
+        context: PluginContext
+    ) -> PluginResult | None
+```
+
+- **`payload`**: Immutable (frozen), strongly-typed data specific to the hook point. Plugins use `model_copy(update={...})` to propose modifications
+- **`context`**: Read-only shared context with session metadata and utilities
+- **`mode`**: `PluginMode.SEQUENTIAL` (default), `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, or `PluginMode.FIRE_AND_FORGET` — controls execution behavior (see Execution Mode below)
+- **`priority`**: Lower numbers execute first (default: 50)
+- **Returns**: A `PluginResult` with continuation flag, modified payload, and violation/explanation — or `None` to continue unchanged
+
+### Concurrency Model
+
+Hooks use Python's `async`/`await` cooperative multitasking. Because Python's event loop only switches execution at `await` points, hook code won't be interrupted mid-logic. This means:
+
+- **Sequential when awaited**: Calling `await hook(...)` keeps control flow deterministic — the hook completes before the caller continues.
+- **Race conditions only at `await` points**: Shared state is safe to read and write between `await` calls within a single hook. Races only arise if multiple hooks modify the same shared state and are dispatched concurrently.
+- **No preemptive interruption**: Unlike threads, a hook handler runs uninterrupted until it yields control via `await`.
+
+### Execution Mode
+
+Hooks support five execution modes, configurable per-registration via the `mode` parameter on the `@hook` decorator. Each mode defines a unique combination of two orthogonal capabilities — **blocking** (halting the pipeline) and **modifying** (changing the payload):
+
+| Mode | Can block | Can modify | Execution | Use case |
+|------|:---------:|:----------:|-----------|----------|
+| **`PluginMode.SEQUENTIAL`** (default) | Yes | Yes | Serial, chained | Policy enforcement + transformation |
+| **`PluginMode.TRANSFORM`** | No | Yes | Serial, chained | Data transformation (PII redaction, prompt rewriting) |
+| **`PluginMode.AUDIT`** | No | No | Serial | Observation, logging, metrics |
+| **`PluginMode.CONCURRENT`** | Yes | No | Parallel | Independent policy gates |
+| **`PluginMode.FIRE_AND_FORGET`** | No | No | Background | Telemetry, async side effects |
+
+Execution order: **SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET**.
+
+- **SEQUENTIAL** hooks are awaited inline, in priority order. Each receives the chained payload from prior hooks. Can halt the pipeline via `PluginResult(continue_processing=False)` and modify writable fields.
+- **TRANSFORM** hooks are awaited inline, in priority order, after all SEQUENTIAL hooks. Each receives the chained payload. Can modify writable fields but **cannot** halt the pipeline — blocking results are suppressed with a warning.
+- **AUDIT** hooks are awaited inline, in priority order, after TRANSFORM. Observe-only: payload modifications are **discarded** and violations are logged but do not block. Use for monitoring and gradual policy rollout.
+- **CONCURRENT** hooks are dispatched in parallel after AUDIT. Can halt the pipeline (fail-fast on first blocking result) but payload modifications are **discarded** to avoid non-deterministic last-writer-wins races.
+- **FIRE_AND_FORGET** hooks are dispatched via `asyncio.create_task()` after all other phases. They receive a copy-on-write snapshot of the payload. Cannot modify payloads or block execution. Any exceptions are logged but do not propagate.
+
+> **Note**: All five modes are exposed via Mellea's own `PluginMode` enum, which maps to CPEX's internal `PluginMode`. The additional `disabled` mode remains available in CPEX's enum and YAML configuration for deployment-time control, but is not exposed in Mellea's `PluginMode`. It is a deployment concern, not a definition-time concern.
+
+### Plugin Framework
+
+The hook system is backed by a lightweight plugin framework built as a Mellea dependency (not a separate user-facing package). This framework:
+
+- Provides the `@hook` decorator for registering standalone async functions as hook handlers
+- Provides the `Plugin` base class for multi-hook plugins with automatic context-manager support and metadata via `__init_subclass__` keyword arguments
+- Exposes `PluginSet` for grouping related hooks/plugins into composable, reusable units
+- Exposes `register()` for global plugin registration and `block()` as a convenience for returning blocking `PluginResult`s
+- Implements a plugin manager that loads, registers, and governs the execution of plugins
+- Enforces per-hook-type payload policies via `HookPayloadPolicy`, accepting only writable-field changes from plugins
+
+The public API surface:
+
+```python
+from mellea.plugins import Plugin, hook, block, PluginSet, register
+```
+
+### Global vs Session-Scoped Plugins
+
+Plugins can be registered at two scopes:
+
+- **Global**: Registered via `register()` at module or application startup. Global plugins fire for every hook invocation — both session-based (`m.instruct(...)`) and functional (`instruct(backend, context, ...)`).
+- **Session-scoped**: Passed via the `plugins` parameter to `start_session()`. Session-scoped plugins fire only for hook invocations within that session.
+
+Both scopes coexist. When a hook fires within a session, both global plugins and that session's plugins execute, ordered by priority. When a hook fires via the functional API outside a session, only global plugins execute.
+
+**Implementation**: A single `PluginManager` instance manages all plugins. Plugins are tagged with an optional `session_id`. At dispatch time, the manager filters: global plugins (no session tag) always run; session-tagged plugins run only when the dispatch context matches their session ID.
+
+**Functional API support**: The functional API (`instruct(backend, context, ...)`) does not require a session. Hooks still fire at the same execution points. If global plugins are registered, they execute. If no plugins are registered, hooks are no-ops with zero overhead.
+
+### With-Block-Scoped Context Managers
+
+In addition to global and session-scoped registration, plugins can be activated for a specific block of code using the context manager protocol. Plugins are registered on entry and deregistered on exit, even if the block raises an exception.
+
+This is useful for:
+- Feature flags: enable a plugin only during a specific operation
+- Testing: activate a mock or spy plugin around a single call
+- Middleware injection: wrap a third-party call with additional hooks without polluting global state
+- Composing scopes: stack independent scopes that each clean up after themselves
+
+Three equivalent forms are supported:
+
+**1. `plugin_scope(*items)` factory**
+
+Accepts standalone `@hook` functions, `Plugin` subclass instances, `PluginSet`s, or any mix:
+
+```python
+from mellea.plugins import plugin_scope
+
+with plugin_scope(log_request, log_response):
+    result = m.instruct("Name the planets.")
+# log_request and log_response are deregistered here
+
+with plugin_scope(pii_redactor, observability_set, enforce_budget):
+    result = m.instruct("Summarize the customer record.")
+```
+
+**2. `Plugin` subclass instance as context manager**
+
+Any instance of a `Plugin` subclass can be entered directly as a context manager:
+
+```python
+guard = ContentGuard()  # ContentGuard inherits from Plugin
+with guard:
+    result = m.instruct("What is the boiling point of water?")
+# ContentGuard hooks are deregistered here
+```
+
+**3. `PluginSet` as context manager**
+
+A `PluginSet` can be entered directly, activating all of its contained hooks and plugins:
+
+```python
+with observability:  # observability is a PluginSet
+    result = m.instruct("What is the capital of France?")
+# All observability hooks are deregistered here
+```
+
+**Async variants**
+
+All three forms also support `async with` for use in async code:
+
+```python
+async with plugin_scope(log_request, ContentGuard()):
+    result = await m.ainstruct("Describe the solar system.")
+
+async with observability:
+    result = await m.ainstruct("What is the capital of France?")
+```
+
+**Nesting and mixing**
+
+Scopes stack cleanly, i.e., each exit deregisters only its own plugins. Nesting is independent of form:
+
+```python
+with plugin_scope(log_request):          # outer scope
+    with ContentGuard() as guard:        # inner scope: Plugin subclass instance
+        result = m.instruct("...")       # log_request + ContentGuard active
+    result = m.instruct("...")           # only log_request active
+# no plugins active
+```
+
+**Cleanup guarantee**
+
+Plugins are always deregistered on scope exit, even if the block raises an exception. There is no resource leak on error.
+
+**Re-entrant restriction**
+
+The same instance cannot be active in two overlapping scopes simultaneously. Attempting to re-enter an already-active instance raises `RuntimeError`. To run the same plugin logic in parallel or in nested scopes, create separate instances:
+
+```python
+guard1 = ContentGuard()
+guard2 = ContentGuard()  # separate instance
+
+with guard1:
+    with guard2:  # OK — different instances
+        ...
+
+with guard1:
+    with guard1:  # RuntimeError — same instance already active
+        ...
+```
+
+**Implementation note**: With-block scopes use the same `session_id` tagging mechanism as session-scoped plugins. Each `with` block gets a unique UUID scope ID; the plugin manager filters plugins by scope ID at dispatch time and deregisters them by scope ID on exit. This means with-block plugins coexist with global and session-scoped plugins: all three layers execute together, ordered by priority.
+
+### Hook Invocation Responsibilities
+
+Hooks are called from Mellea's base classes (`Component.aact()`, `Backend.generate()`, `SamplingStrategy.run()`, etc.). This means hook invocation is a framework-level concern, and authors of new backends, sampling strategies, or components do not need to manually insert hook calls.
+
+The calling convention is a single async call at each hook site:
+
+```python
+result = await invoke_hook(hook_type, payload, backend=backend)
+```
+
+The caller (the base class method) is responsible for both invoking the hook and processing the result. Processing means checking the result for one of three possible outcomes:
+
+1. **Continue with original payload**: — `PluginResult(continue_processing=True)` with no `modified_payload`. The caller proceeds unchanged.
+2. **Continue with modified payload**: — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's payload policy, accepting only changes to writable fields and discarding unauthorized modifications. The caller uses the policy-filtered payload in place of the original.
+3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. The caller raises or returns early with structured error information.
+
+Hooks cannot redirect control flow, jump to arbitrary code, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type.
+
+### Payload Design Principles
+
+Hook payloads follow six design principles:
+
+1. **Strongly typed** — Each hook has a dedicated payload dataclass (not a generic dict). This enables IDE autocompletion, static analysis, and clear documentation of what each hook receives.
+2. **Sufficient (maximize-at-boundary)** — Each payload includes everything available at that point in time. Post-hooks include the pre-hook fields plus results. This avoids forcing plugins to maintain their own state across pre/post pairs.
+3. **Frozen (immutable)** — Payloads are frozen Pydantic models (`model_config = ConfigDict(frozen=True)`). Plugins cannot mutate payload attributes in place. To propose changes, plugins must call `payload.model_copy(update={...})` and return the copy via `PluginResult.modified_payload`. This ensures every modification is explicit and flows through the policy system.
+4. **Policy-controlled** — Each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns, accepting only changes to writable fields and silently discarding unauthorized modifications. This separates "what the plugin can observe" from "what the plugin can change" — and enforces it at the framework level. See [Hook Payload Policies](#hook-payload-policies) for the full policy table.
+5. **Serializable** — Payloads should be serializable for external (MCP-based) plugins that run out-of-process. All payload fields use types that can round-trip through JSON or similar formats.
+6. **Versioned** — Payload schemas carry a `payload_version` so plugins can detect incompatible changes at registration time rather than at runtime.
+7. **Isolation** — Each plugin receives a copy-on-write (CoW) snapshot of the payload. Mutable containers (dicts, lists) are wrapped so mutations in one plugin do not affect others. Plugins should not cache payloads beyond the hook invocation — payload fields reference live framework objects (`Context`, `Component`, `MelleaSession`) whose lifecycle is managed by the framework.
+
+## 2. Common Payload Fields
+
+All hook payloads inherit these base fields:
+
+```python
+class BasePayload(PluginPayload):
+    """Frozen base — all payloads are immutable by design."""
+    model_config = ConfigDict(frozen=True, arbitrary_types_allowed=True)
+
+    session_id: str | None = None      # Session identifier (None for functional API calls)
+    request_id: str = ""               # Reserved for future use (e.g., request tracing)
+    timestamp: datetime                # When the event fired
+    hook: str                          # Name of the hook (e.g., "generation_pre_call")
+    user_metadata: dict[str, Any]      # Custom metadata carried by user code
+```
+
+> **Note on `session_id` and `request_id`**: These fields exist on the base payload schema but are **not** automatically stamped by the framework at dispatch time. `session_id` is available when the caller sets it on the payload directly. `request_id` is reserved for future request-tracing support.
+
+## 3. Hook Summary Table
+
+| Priority | Hook Point | Category | Domain | Status | Description |
+|:--:|------------|----------|--------|:--------:|-------------|
+|3| `session_pre_init` | Session Lifecycle | Session | ✔️ | Before session initialization |
+|3| `session_post_init` | Session Lifecycle | Session | ✔️ | After session is fully initialized |
+|3| `session_reset` | Session Lifecycle | Session | ✔️ | When session context is reset |
+|3| `session_cleanup` | Session Lifecycle | Session | ✔️ | Before session cleanup/teardown |
+|7| `component_pre_create` | Component Lifecycle | Component / (Backend, Context) |  | Before component creation |
+|7| `component_post_create` | Component Lifecycle | Component / (Backend, Context) |  | After component created, before execution |
+|7| `component_pre_execute` | Component Lifecycle | Component / (Backend, Context) | ✔️ | Before component execution via `aact()` |
+|7| `component_post_success` | Component Lifecycle | Component / (Backend, Context) | ✔️ | After successful component execution |
+|7| `component_post_error` | Component Lifecycle | Component / (Backend, Context) | ✔️ | After component execution fails |
+|1| `generation_pre_call` | Generation Pipeline | (Backend, Context) | ✔️ | Before LLM backend call |
+|1| `generation_post_call` | Generation Pipeline | (Backend, Context) | ✔️ | After LLM response received |
+|1| `generation_stream_chunk` | Generation Pipeline | (Backend, Context) |  | For each streaming chunk |
+|1| `validation_pre_check` | Validation | (Backend, Context) | ✔️ | Before requirement validation |
+|1| `validation_post_check` | Validation | (Backend, Context) | ✔️ | After validation completes |
+|3| `sampling_loop_start` | Sampling Pipeline | (Backend, Context) | ✔️ | When sampling strategy begins |
+|3| `sampling_iteration` | Sampling Pipeline | (Backend, Context) | ✔️ | After each sampling attempt |
+|3| `sampling_repair` | Sampling Pipeline | (Backend, Context) | ✔️ | When repair is invoked |
+|3| `sampling_loop_end` | Sampling Pipeline | (Backend, Context) | ✔️ | When sampling completes |
+|1| `tool_pre_invoke` | Tool Execution | (Backend, Context) | ✔️ | Before tool/function invocation |
+|1| `tool_post_invoke` | Tool Execution | (Backend, Context) | ✔️ | After tool execution |
+|5| `adapter_pre_load` | Backend Adapter Ops | Backend |  | Before `backend.load_adapter()` |
+|5| `adapter_post_load` | Backend Adapter Ops | Backend |  | After adapter loaded |
+|5| `adapter_pre_unload` | Backend Adapter Ops | Backend |  | Before `backend.unload_adapter()` |
+|5| `adapter_post_unload` | Backend Adapter Ops | Backend |  | After adapter unloaded |
+|7| `context_update` | Context Operations | Context |  | When context changes |
+|7| `context_prune` | Context Operations | Context |  | When context is trimmed |
+|7| `error_occurred` | Error Handling | Cross-cutting |  | When an unrecoverable error occurs |
+
+## 3b. Hook Payload Policies
+
+Payload mutability is enforced at **two layers**:
+
+1. **Execution mode** (cpex layer) — only `SEQUENTIAL` and `TRANSFORM` plugins can modify payloads. `AUDIT`, `CONCURRENT`, and `FIRE_AND_FORGET` plugins have their modifications silently discarded by cpex regardless of what the policy table says.
+
+2. **Field-level policy** (Mellea layer) — for modes that *can* modify, each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns: only changes to writable fields are accepted; all other modifications are silently discarded.
+
+Hooks not listed in the policy table are **observe-only** — with `DefaultHookPolicy.DENY` (the Mellea default), any modification attempt on an unlisted hook is rejected at runtime.
+
+### Policy Types
+
+```python
+from dataclasses import dataclass
+from enum import Enum
+
+class DefaultHookPolicy(str, Enum):
+    """Controls behavior for hooks without an explicit policy."""
+    ALLOW = "allow"   # Accept all modifications (backwards-compatible)
+    DENY = "deny"     # Reject all modifications (strict mode, default for Mellea)
+
+@dataclass(frozen=True)
+class HookPayloadPolicy:
+    """Defines which payload fields plugins may modify."""
+    writable_fields: frozenset[str]
+```
+
+### Policy Enforcement
+
+When a plugin returns `PluginResult(modified_payload=...)`, the plugin manager applies `apply_policy()`:
+
+```python
+def apply_policy(
+    original: BaseModel,
+    modified: BaseModel,
+    policy: HookPayloadPolicy,
+) -> BaseModel | None:
+    """Accept only changes to writable fields; discard all others.
+
+    Returns an updated payload via model_copy(update=...), or None
+    if the plugin made no effective (allowed) changes.
+    """
+    updates: dict[str, Any] = {}
+    for field in policy.writable_fields:
+        old_val = getattr(original, field, _SENTINEL)
+        new_val = getattr(modified, field, _SENTINEL)
+        if new_val is not _SENTINEL and new_val != old_val:
+            updates[field] = new_val
+    return original.model_copy(update=updates) if updates else None
+```
+
+### Policy Table
+
+| Hook Point | Writable Fields |
+|------------|----------------|
+| **Session Lifecycle** | |
+| `session_pre_init` | `model_id`, `model_options` |
+| `session_post_init` | *(observe-only)* |
+| `session_reset` | *(observe-only)* |
+| `session_cleanup` | *(observe-only)* |
+| **Component Lifecycle** | |
+| `component_pre_create` | `description`, `images`, `requirements`, `icl_examples`, `grounding_context`, `user_variables`, `prefix`, `template_id` |
+| `component_post_create` | `component` |
+| `component_pre_execute` | `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled` |
+| `component_post_success` | *(observe-only)* |
+| `component_post_error` | *(observe-only)* |
+| **Generation Pipeline** | |
+| `generation_pre_call` | `model_options`, `format`, `tool_calls` |
+| `generation_post_call` | *(observe-only)* |
+| `generation_stream_chunk` | `chunk`, `accumulated` |
+| **Validation** | |
+| `validation_pre_check` | `requirements`, `model_options` |
+| `validation_post_check` | `results`, `all_validations_passed` |
+| **Sampling Pipeline** | |
+| `sampling_loop_start` | `loop_budget` |
+| `sampling_iteration` | *(observe-only)* |
+| `sampling_repair` | *(observe-only)* |
+| `sampling_loop_end` | *(observe-only)* |
+| **Tool Execution** | |
+| `tool_pre_invoke` | `model_tool_call` |
+| `tool_post_invoke` | `tool_output` |
+| **Backend Adapter Ops** | |
+| `adapter_pre_load` | *(observe-only)* |
+| `adapter_post_load` | *(observe-only)* |
+| `adapter_pre_unload` | *(observe-only)* |
+| `adapter_post_unload` | *(observe-only)* |
+| **Context Operations** | |
+| `context_update` | *(observe-only)* |
+| `context_prune` | *(observe-only)* |
+| **Error Handling**| |
+| `error_occurred` | *(observe-only)* |
+
+### Default Policy
+
+Mellea uses `DefaultHookPolicy.DENY` as the default for hooks without an explicit policy. This means:
+
+- **Hooks with an explicit policy**: Only writable fields are accepted; other changes are discarded.
+- **Hooks without a policy** (observe-only): All modifications are rejected with a warning log.
+- **Custom hooks**: Custom hooks registered by users default to `DENY`. To allow modifications, pass a `HookPayloadPolicy` when registering the custom hook type.
+
+### Modification Pattern
+
+Because payloads are frozen, plugins must use `model_copy(update={...})` to create a modified copy:
+
+```python
+@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_budget(payload, ctx):
+    if (_estimate_tokens(payload) or 0) > 4000:
+        return block("Token budget exceeded")
+
+    # Modify a writable field — use model_copy, not direct assignment
+    modified = payload.model_copy(update={"model_options": {**payload.model_options, "max_tokens": 4000}})
+    return PluginResult(continue_processing=True, modified_payload=modified)
+```
+
+Attempting to set attributes directly (e.g., `payload.model_options = {...}`) raises a `FrozenModelError`.
+
+### Chaining
+
+When multiple plugins modify the same hook's payload, modifications are chained:
+
+1. Plugin A receives the original payload, returns a modified copy.
+2. The policy filters Plugin A's changes to writable fields only.
+3. Plugin B receives the policy-filtered result from Plugin A.
+4. The policy filters Plugin B's changes.
+5. The final policy-filtered payload is returned to the caller.
+
+This ensures each plugin sees the cumulative effect of prior plugins, and all modifications pass through the policy filter.
+
+## 4. Hook Definitions
+
+### A. Session Lifecycle Hooks
+
+Hooks that manage session boundaries, useful for initialization, state setup, and resource cleanup.
+
+#### `session_pre_init`
+
+- **Trigger**: Called immediately when `mellea.start_session()` is invoked, before backend initialization.
+- **Use Cases**:
+  - Loading user-specific policies
+  - Validating backend/model combinations
+  - Enforcing model usage policies
+- **Payload**:
+  ```python
+  class SessionPreInitPayload(BasePayload):
+      backend_name: str              # Requested backend identifier
+      model_id: str | ModelIdentifier  # Target model
+      model_options: dict | None     # Generation parameters
+      context_type: type[Context]    # Context class to use
+  ```
+- **Context**:
+  - `environment`: dict - Environment variables snapshot
+  - `cwd`: str - Current working directory
+
+
+#### `session_post_init`
+
+- **Trigger**: Called after session is fully initialized, before any operations.
+- **Use Cases**:
+  - Initializing plugin-specific session state
+  - Setting up telemetry/observability
+  - Registering session-scoped resources
+  - Remote logging setup
+- **Payload**:
+  ```python
+  class SessionPostInitPayload(BasePayload):
+      session: MelleaSession         # Fully initialized session (observe-only)
+  ```
+- **Context**:
+  - `backend_name`: str - Backend identifier
+
+
+#### `session_reset`
+
+- **Trigger**: Called when `session.reset()` is invoked to clear context.
+- **Use Cases**:
+  - Resetting plugin state
+  - Logging context transitions
+  - Preserving audit trails before reset
+- **Payload**:
+  ```python
+  class SessionResetPayload(BasePayload):
+      previous_context: Context      # Context about to be discarded (observe-only)
+  ```
+- **Context**:
+  - `backend_name`: str - Backend identifier
+
+
+#### `session_cleanup`
+
+- **Trigger**: Called when `session.close()`, `cleanup()`, or context manager exit occurs.
+- **Use Cases**:
+  - Flushing telemetry buffers
+  - Persisting audit trails
+  - Aggregating session metrics
+  - Cleaning up temporary resources
+- **Payload**:
+  ```python
+  class SessionCleanupPayload(BasePayload):
+      context: Context               # Context at cleanup time (observe-only)
+      interaction_count: int         # Number of items in context at cleanup
+  ```
+- **Context**:
+  - `backend_name`: str - Backend identifier
+
+
+### B. Component Lifecycle Hooks
+
+Hooks around Component creation and execution. All Mellea primitives — Instruction, Message, Query, Transform, GenerativeSlot — are Components. These hooks cover the full Component lifecycle; there are no separate hooks per component type.
+
+All component payloads include a `component_type: str` field (e.g., `"Instruction"`, `"Message"`, `"GenerativeSlot"`, `"Query"`, `"Transform"`) so plugins can filter by type. For example, a plugin targeting only generative slots would check `component_type == "GenerativeSlot"`.
+
+Not all `ComponentPreCreatePayload` fields are populated for every component type. The table below shows which fields are available per type (`✓` = populated, `—` = `None` or empty):
+
+| Field | Instruction | Message | Query | Transform | GenerativeSlot |
+|-------|:-----------:|:-------:|:-----:|:---------:|:--------------:|
+| `description` | ✓ | ✓ | ✓ | ✓ | ✓ |
+| `images` | ✓ | ✓ | — | — | ✓ |
+| `requirements` | ✓ | — | — | — | ✓ |
+| `icl_examples` | ✓ | — | — | — | ✓ |
+| `grounding_context` | ✓ | — | — | — | ✓ |
+| `user_variables` | ✓ | — | — | — | ✓ |
+| `prefix` | ✓ | — | — | — | ✓ |
+| `template_id` | ✓ | — | — | — | ✓ |
+
+Plugins should check for `None`/empty values rather than assuming all fields are present for all component types.
+
+
+#### `component_pre_create`
+
+> **Implementation deferred.** `component_pre_create` and `component_post_create` are not implemented in this iteration of the hook system. See the discussion note below.
+
+- **Trigger**: Called inside `Component.__init__` (specifically `Instruction.__init__` and `Message.__init__`), before attributes are assigned. Fires for every component created, regardless of the code path — whether via `instruct()`/`chat()`, `ainstruct()`/`achat()`, or direct construction (e.g. `Instruction(...)`).
+- **Use Cases**:
+  - PII redaction on user input
+  - Prompt injection detection
+  - Input validation and sanitization
+  - Injecting mandatory requirements
+  - Enforcing content policies
+- **Payload**:
+  ```python
+  class ComponentPreCreatePayload(BasePayload):
+      component_type: str                        # "Instruction", "GenerativeSlot", etc.
+      description: str                           # Main instruction text
+      images: list[ImageBlock] | None            # Attached images
+      requirements: list[Requirement | str]      # Validation requirements
+      icl_examples: list[str | CBlock]           # In-context learning examples
+      grounding_context: dict[str, str]          # Grounding variables
+      user_variables: dict[str, str] | None      # Template variables
+      prefix: str | CBlock | None                # Output prefix
+      template_id: str | None                    # Identifier of prompt template
+  ```
+- **Context**: `backend` and `context` are not available at this hook point (`None`). The hook fires from `__init__`, where no backend or execution context exists yet.
+
+
+#### `component_post_create`
+
+> **Implementation deferred.** See the discussion note below.
+
+- **Trigger**: Called at the end of `Component.__init__` (specifically `Instruction.__init__` and `Message.__init__`), after all attributes are set. Fires for every component created, regardless of the code path. Note: because this hook fires inside `__init__`, the component **cannot be replaced** — plugins may only mutate the component's attributes in-place.
+- **Use Cases**:
+  - Appending system prompts
+  - Context stuffing (RAG injection)
+  - Logging component patterns
+  - Validating final component structure
+- **Payload**:
+  ```python
+  class ComponentPostCreatePayload(BasePayload):
+      component_type: str            # "Instruction", "GenerativeSlot", etc.
+      component: Component           # The created component
+  ```
+- **Context**: `backend` and `context` are not available at this hook point (`None`). See `component_pre_create` note above.
+
+> **Discussion — why these hooks are deferred:**
+>
+> `Component` is currently a `Protocol`, not an abstract base class. This means Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations.
+>
+> Placing hook calls inside `Instruction.__init__` and `Message.__init__` works for those specific classes, but it is fragile (any user-defined `Component` subclass is invisible to the hooks) and architecturally wrong (the hook system should not need to be threaded manually into every `__init__`).
+>
+> If `Component` were refactored to an abstract base class, Mellea could wrap `__init__` at the ABC level and fire `component_pre_create` / `component_post_create` generically for all subclasses, without per-class boilerplate.
+>
+> Until that refactoring is decided and implemented, these two hook types are intentionally excluded from the active hook system. Use `component_pre_execute` for pre-execution policy enforcement, as it fires just before generation and covers the same high-value interception scenarios.
+
+
+#### `component_pre_execute`
+
+- **Trigger**: Before any component is executed via `aact()`.
+- **Use Cases**:
+  - Policy enforcement on generation requests
+  - Injecting/modifying model options
+  - Routing to different strategies
+  - Authorization checks
+  - Logging execution patterns
+- **Payload**:
+  ```python
+  class ComponentPreExecutePayload(BasePayload):
+      component_type: str            # "Instruction", "GenerativeSlot", etc.
+      action: Component | CBlock     # The component to execute
+      context_view: list[Component | CBlock] | None  # Linearized context
+      requirements: list[Requirement]  # Attached requirements (writable)
+      model_options: dict            # Generation parameters (writable)
+      format: type | None            # Structured output format (writable)
+      strategy: SamplingStrategy | None  # Sampling strategy (writable)
+      tool_calls_enabled: bool       # Whether tools are available (writable)
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+
+
+#### `component_post_success`
+
+- **Trigger**: After component execution completes successfully.
+- **Use Cases**:
+  - Logging generation results
+  - Output validation (hallucination check)
+  - PII scrubbing from response
+  - Applying output transformations
+  - Audit logging
+  - Collecting metrics
+- **Payload**:
+  ```python
+  class ComponentPostSuccessPayload(BasePayload):
+      component_type: str            # "Instruction", "GenerativeSlot", etc.
+      action: Component | CBlock     # Executed component      result: ModelOutputThunk       # Generation result (strong reference)
+      context_before: Context        # Context before execution      context_after: Context         # Context after execution      generate_log: GenerateLog      # Detailed execution log (strong reference)
+      sampling_results: list[SamplingResult] | None  # If sampling was used (strong reference)
+      latency_ms: int                # Execution time
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `token_usage`: dict | None
+  - `original_input`: dict - Input that triggered generation
+
+> **Design Decision: Separate Success/Error Hooks**
+>
+> `component_post_success` and `component_post_error` are separate hooks rather than a single `component_post` with a sum type over success/failure. The reasons are:
+>
+> 1. **Registration granularity** — Plugins subscribe to only what they need. An audit logger may only care about errors; a metrics collector may only care about successes.
+> 2. **Distinct payload shapes** — Success payloads carry `result`, `generate_log`, and `sampling_results`; error payloads carry `exception`, `error_type`, and `stack_trace`. A sum type would force nullable fields or tagged unions, adding complexity for every consumer.
+> 3. **Different execution modes** — Error hooks may be fire-and-forget (for alerting); success hooks may be blocking (for output transformation). Separate hooks allow per-hook execution timing configuration.
+
+
+#### `component_post_error`
+
+- **Trigger**: When component execution fails with an exception.
+- **Use Cases**:
+  - Error logging and alerting
+  - Custom error recovery
+  - Retry logic
+  - Graceful degradation
+- **Payload**:
+  ```python
+  class ComponentPostErrorPayload(BasePayload):
+      component_type: str            # "Instruction", "GenerativeSlot", etc.
+      action: Component | CBlock     # Component that failed      error: Exception               # The exception raised (strong reference)
+      error_type: str                # Exception class name
+      stack_trace: str               # Full stack trace
+      context: Context               # Context at time of error      model_options: dict            # Options used
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `recoverable`: bool - Can execution continue
+
+
+### C. Generation Pipeline Hooks
+
+Low-level hooks between the component abstraction and raw LLM API calls. These operate on the (Backend, Context) tuple — they do not require a session.
+
+> **Context Modification Sequencing**
+>
+> `action`, `context`, and `context_view` are observe-only on `component_pre_execute` — plugins cannot modify them. `component_pre_execute` is the interception point for adjusting `requirements`, `model_options`, `format`, `strategy`, and `tool_calls_enabled` before generation begins.
+
+
+#### `generation_pre_call`
+
+- **Trigger**: Just before the backend transmits data to the LLM API.
+- **Use Cases**:
+  - Tool selection filtering and requirements
+  - Prompt injection detection
+  - Content filtering
+  - Token budget enforcement
+  - Cost estimation
+  - Prompt caching/deduplication
+  - Rate limiting
+  - Last-mile formatting
+- **Payload**:
+  ```python
+  class GenerationPreCallPayload(BasePayload):
+      action: Component | CBlock           # Source action      context: Context                     # Current context      model_options: dict[str, Any]        # Generation parameters (writable)
+      format: type | None                  # Structured output format (writable)
+      tool_calls: bool                     # Whether tool calling is enabled (writable)
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `backend_name`: str
+  - `model_id`: str
+  - `provider`: str - Provider name (e.g., "ibm/granite")
+
+- **Notes**:
+  - Field `formatted_prompt: str | list[dict] # Final prompt to send` not implemented
+
+#### `generation_post_call`
+
+- **Trigger**: For lazy `ModelOutputThunk` objects (the normal path), fires inside `ModelOutputThunk.astream` after `post_process` completes — at the point where `model_output.value` is fully materialized. For already-computed thunks (e.g. cached responses), fires inline before `generate_from_context` returns. `latency_ms` is measured from the `generate_from_context` call to value availability in both cases.
+- **Use Cases**:
+  - Output filtering/sanitization
+  - PII detection and redaction
+  - Response caching
+  - Quality metrics collection
+  - Hallucination detection
+  - Raw trace logging
+  - Error interception (API limits/retries)
+- **Payload**:
+  ```python
+  class GenerationPostCallPayload(BasePayload):
+      prompt: str | list[dict]       # Sent prompt (from linearization)
+      model_output: ModelOutputThunk # Fully computed output thunk
+      latency_ms: float              # Elapsed ms from generate_from_context call to value availability
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `backend_name`: str
+  - `model_id`: str
+  - `status_code`: int | None - HTTP status from provider
+  - `stream_chunks`: int | None - Number of chunks if streaming
+- **Notes**:
+  - On the lazy path (normal), `model_output.value` is guaranteed to be available when this hook fires.
+  - Replacing `model_output` is supported on both paths. On the lazy path, the original MOT's output fields are updated in-place via `_copy_from`.
+  - On the already-computed path (e.g. cached responses), the returned MOT object itself is replaced.
+
+#### `generation_stream_chunk`
+
+- **Trigger**: For each streaming chunk received from the LLM.
+- **Use Cases**:
+  - Real-time content filtering
+  - Progressive output display
+  - Early termination on policy violation
+  - Streaming analytics
+- **Payload**:
+  ```python
+  class GenerationStreamChunkPayload(BasePayload):
+      chunk: str                     # Current chunk text
+      accumulated: str               # All text so far
+      chunk_index: int               # Chunk sequence number
+      is_final: bool                 # Is this the last chunk
+  ```
+- **Context**:
+  - `thunk_id`: str
+  - `backend`: Backend
+  - `context`: Context
+  - `backend_name`: str
+  - `model_id`: str
+
+
+### D. Validation Hooks
+
+Hooks around requirement verification and output validation. These operate on the (Backend, Context) tuple.
+
+
+#### `validation_pre_check`
+
+- **Trigger**: Before running validation/requirements check.
+- **Use Cases**:
+  - Injecting additional requirements
+  - Filtering requirements based on context
+  - Overriding validation strategy
+  - Custom validation logic
+- **Payload**:
+  ```python
+  class ValidationPreCheckPayload(BasePayload):
+      requirements: list[Requirement]  # Requirements to check (writable)
+      target: CBlock | None            # Target to validate      context: Context                 # Current context      model_options: dict              # Options for LLM-as-judge (writable)
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `validation_type`: str - "python" | "llm_as_judge"
+
+
+#### `validation_post_check`
+
+- **Trigger**: After all validations complete.
+- **Use Cases**:
+  - Logging validation outcomes
+  - Triggering alerts on failures
+  - Collecting requirement effectiveness metrics
+  - Overriding validation results
+  - Monitoring sampling attempts
+- **Payload**:
+  ```python
+  class ValidationPostCheckPayload(BasePayload):
+      requirements: list[Requirement]
+      results: list[ValidationResult]
+      all_validations_passed: bool
+      passed_count: int
+      failed_count: int
+      generate_logs: list[GenerateLog | None]  # Logs from LLM-as-judge
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `validation_duration_ms`: int
+
+
+### E. Sampling & Repair Hooks
+
+Hooks around sampling strategies and failure recovery. These operate on the (Backend, Context) tuple — sampling strategies take explicit `(action, context, backend)` arguments and do not require a session.
+
+
+#### `sampling_loop_start`
+
+- **Trigger**: When a sampling strategy begins execution.
+- **Use Cases**:
+  - Logging sampling attempts
+  - Adjusting loop budget dynamically
+  - Initializing sampling-specific state
+- **Payload**:
+  ```python
+  class SamplingLoopStartPayload(BasePayload):
+      strategy_name: str             # Strategy class name
+      action: Component              # Initial action      context: Context               # Initial context      requirements: list[Requirement]  # All requirements
+      loop_budget: int               # Maximum iterations (writable)
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `strategy_name`: str
+  - `strategy_config`: dict
+
+
+#### `sampling_iteration`
+
+- **Trigger**: After each sampling attempt, including validation results.
+- **Use Cases**:
+  - Iteration-level metrics
+  - Early termination decisions
+  - Debug sampling behavior
+  - Adaptive strategy adjustment
+- **Payload**:
+  ```python
+  class SamplingIterationPayload(BasePayload):
+      iteration: int                 # 1-based iteration number
+      action: Component              # Action used this iteration      result: ModelOutputThunk       # Generation result (strong reference)
+      validation_results: list[tuple[Requirement, ValidationResult]]
+      all_validations_passed: bool   # Did all requirements pass
+      valid_count: int
+      total_count: int
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `strategy_name`: str
+  - `remaining_budget`: int
+  - `elapsed_ms`: int
+
+
+#### `sampling_repair`
+
+- **Trigger**: When a repair strategy is invoked after validation failure. Behavior varies by sampling strategy.
+- **Strategy-Specific Behavior**:
+  - **RejectionSamplingStrategy**: Identity retry — same action, original context. No actual repair; simply regenerates. (`repair_type: "identity"`)
+  - **RepairTemplateStrategy**: Appends failure descriptions via `copy_and_repair()`, producing a modified context that includes what went wrong. (`repair_type: "template_repair"`)
+  - **MultiTurnStrategy**: Adds a Message describing failures to the conversation context, treating repair as a new conversational turn. (`repair_type: "multi_turn_message"`)
+  - **SOFAISamplingStrategy**: Two-solver approach with targeted feedback between attempts. (`repair_type: "sofai_feedback"`)
+- **Use Cases**:
+  - Logging repair patterns
+  - Injecting custom repair strategies
+  - Analyzing failure modes
+  - Adjusting repair approach
+- **Payload**:
+  ```python
+  class SamplingRepairPayload(BasePayload):
+      repair_type: str               # "identity" | "template_repair" | "multi_turn_message" | "sofai_feedback" | "custom"
+      failed_action: Component       # Action that failed      failed_result: ModelOutputThunk  # Failed output (strong reference)
+      failed_validations: list[tuple[Requirement, ValidationResult]]
+      repair_action: Component       # New action for retry
+      repair_context: Context        # Context for retry
+      repair_iteration: int          # 1-based iteration at which repair was triggered
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `strategy_name`: str
+  - `past_failures`: list[str]
+
+
+#### `sampling_loop_end`
+
+- **Trigger**: When sampling completes (success or failure).
+- **Use Cases**:
+  - Sampling effectiveness metrics
+  - Failure analysis
+  - Cost tracking
+  - Selecting best failed attempt
+- **Payload**:
+  ```python
+  class SamplingLoopEndPayload(BasePayload):
+      success: bool                  # Did sampling succeed
+      iterations_used: int           # Total iterations performed
+      final_result: ModelOutputThunk | None  # Best result (strong reference)
+      final_action: Component | None         # Component that produced final_result      final_context: Context | None          # Context for final_result      failure_reason: str | None     # If failed, why
+      all_results: list[ModelOutputThunk]    # All iteration results (strong references)
+      all_validations: list[list[tuple[Requirement, ValidationResult]]]
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `strategy_name`: str
+  - `total_duration_ms`: int
+  - `tokens_used`: int | None
+
+
+### F. Tool Calling Hooks
+
+Hooks around tool/function execution. These operate on the (Backend, Context) tuple.
+
+
+#### `tool_pre_invoke`
+
+- **Trigger**: Before invoking a tool/function from LLM output.
+- **Use Cases**:
+  - Tool authorization
+  - Argument validation/sanitization
+  - Tool routing/redirection
+  - Rate limiting per tool
+- **Payload**:
+  ```python
+  class ToolPreInvokePayload(BasePayload):
+      model_tool_call: ModelToolCall # Raw model output (contains name, args, callable)
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `available_tools`: list[str]
+  - `invocation_source`: str - "transform" | "action" | etc.
+
+
+#### `tool_post_invoke`
+
+- **Trigger**: After tool execution completes.
+- **Use Cases**:
+  - Output transformation
+  - Error handling/recovery
+  - Tool usage metrics
+  - Result caching
+- **Payload**:
+  ```python
+  class ToolPostInvokePayload(BasePayload):
+      model_tool_call: ModelToolCall # Raw model output (contains name, args, callable)
+      tool_output: Any               # Raw tool output
+      tool_message: ToolMessage      # Formatted message
+      execution_time_ms: int
+      success: bool                  # Did tool execute without error
+      error: Exception | None        # Error if any
+  ```
+- **Context**:
+  - `backend`: Backend
+  - `context`: Context
+  - `invocation_source`: str
+
+
+### G. Backend Adapter Operations
+
+Hooks around LoRA/aLoRA adapter loading and unloading on backends. Based on the `AdapterMixin` protocol in `mellea/backends/adapters/adapter.py`.
+
+> **Future Work: Backend Switching**
+>
+> These hooks cover adapter load/unload on a single backend. Hooks for switching the entire backend on a session (e.g., from Ollama to OpenAI mid-session) are a potential future extension and are distinct from adapter management.
+
+
+#### `adapter_pre_load`
+
+- **Trigger**: Before `backend.load_adapter()` is called.
+- **Use Cases**:
+  - Validating adapter compatibility
+  - Enforcing adapter usage policies
+  - Logging adapter load attempts
+- **Payload**:
+  ```python
+  class AdapterPreLoadPayload(BasePayload):
+      adapter_name: str              # Name/path of adapter
+      adapter_config: dict           # Adapter configuration
+      backend_name: str              # Backend being adapted
+  ```
+- **Context**:
+  - `backend`: Backend
+
+
+#### `adapter_post_load`
+
+- **Trigger**: After adapter has been successfully loaded.
+- **Use Cases**:
+  - Confirming adapter activation
+  - Updating metrics/state
+  - Triggering downstream reconfiguration
+- **Payload**:
+  ```python
+  class AdapterPostLoadPayload(BasePayload):
+      adapter_name: str
+      adapter_config: dict
+      backend_name: str
+      load_duration_ms: int          # Time to load adapter
+  ```
+- **Context**:
+  - `backend`: Backend
+
+
+#### `adapter_pre_unload`
+
+- **Trigger**: Before `backend.unload_adapter()` is called.
+- **Use Cases**:
+  - Flushing adapter-specific state
+  - Logging adapter lifecycle
+  - Preventing unload during active generation
+- **Payload**:
+  ```python
+  class AdapterPreUnloadPayload(BasePayload):
+      adapter_name: str
+      backend_name: str
+  ```
+- **Context**:
+  - `backend`: Backend
+
+
+#### `adapter_post_unload`
+
+- **Trigger**: After adapter has been unloaded.
+- **Use Cases**:
+  - Confirming adapter deactivation
+  - Cleaning up adapter-specific resources
+  - Updating metrics
+- **Payload**:
+  ```python
+  class AdapterPostUnloadPayload(BasePayload):
+      adapter_name: str
+      backend_name: str
+      unload_duration_ms: int        # Time to unload adapter
+  ```
+- **Context**:
+  - `backend`: Backend
+
+
+### H. Context Operations Hooks
+
+Hooks around context changes and management. These operate on the Context directly.
+
+
+#### `context_update`
+
+- **Trigger**: When a component or CBlock is explicitly appended to a session's context (e.g., after a successful generation or a user-initiated addition). Does not fire on internal framework reads or context linearization.
+- **Use Cases**:
+  - Context audit trail
+  - Memory management policies
+  - Sensitive data detection
+  - Token usage monitoring
+- **Payload**:
+  ```python
+  class ContextUpdatePayload(BasePayload):
+      previous_context: Context      # Context before change
+      new_data: Component | CBlock   # Data being added
+      resulting_context: Context     # Context after change
+      context_type: str              # "simple" | "chat"
+      change_type: str               # "append" | "reset"
+  ```
+- **Context**:
+  - `context`: Context
+  - `history_length`: int
+
+
+#### `context_prune`
+
+- **Trigger**: When `view_for_generation` is called and context exceeds token limits, or when a dedicated prune API is invoked. This is the point where context is linearized and token budget enforcement becomes relevant.
+- **Use Cases**:
+  - Token budget management
+  - Recording pruning events
+  - Custom pruning strategies
+  - Archiving pruned content
+- **Payload**:
+  ```python
+  class ContextPrunePayload(BasePayload):
+      context_before: Context        # Context before pruning
+      context_after: Context         # Context after pruning
+      pruned_items: list[Component | CBlock]  # Items removed
+      reason: str                    # Why pruning occurred
+      tokens_freed: int | None       # Token estimate freed
+  ```
+- **Context**:
+  - `context`: Context
+  - `token_limit`: int | None
+
+
+### I. Error Handling Hooks
+
+Cross-cutting hook for error conditions.
+
+
+#### `error_occurred`
+
+- **Trigger**: When an unrecoverable error occurs during any operation.
+- **Fires for**:
+  - `ComponentParseError` — structured output parsing failures
+  - Backend communication errors — connection failures, API errors, timeouts
+  - Assertion violations — internal invariant failures
+  - Any unhandled `Exception` during component execution, validation, or tool invocation
+- **Does NOT fire for**:
+  - Validation failures within sampling loops — these are handled by `sampling_iteration` and `sampling_repair`
+  - Controlled plugin violations via `PluginResult(continue_processing=False)` — these are policy decisions, not errors
+- **Use Cases**:
+  - Error logging/alerting
+  - Custom error recovery
+  - Error metrics
+  - Graceful degradation
+  - Notification systems
+- **Payload**:
+  ```python
+  class ErrorOccurredPayload(BasePayload):
+      error: Exception               # The exception
+      error_type: str                # Exception class name
+      error_location: str            # Where error occurred
+      recoverable: bool              # Can execution continue
+      context: Context | None        # Context at time of error
+      action: Component | None       # Action being performed
+      stack_trace: str               # Full stack trace
+  ```
+- **Context**:
+  - `session`: MelleaSession | None
+  - `backend`: Backend | None
+  - `context`: Context | None
+  - `operation`: str - What operation was being performed
+
+
+## 5. GlobalContext (Ambient Metadata)
+
+The `GlobalContext` passed to hooks carries lightweight, cross-cutting ambient metadata that is useful to every hook regardless of type. Hook-specific data (context, session, action, etc.) belongs on the **typed payload**, not on the global context.
+
+### What goes in GlobalContext
+
+```python
+# GlobalContext.state — same for all hook types
+backend_name: str                  # Derived from backend.model_id (when backend is passed)
+```
+
+The `backend_name` is a lightweight string extracted from `backend.model_id`. The full `backend` and `session` objects are **not** stored in GlobalContext — this avoids giving plugins unchecked mutable access to core framework objects.
+
+### What goes on payloads
+
+Domain-specific data belongs on the typed payload for each hook:
+
+- **`context`** — Available on payload types that need it (e.g., `GenerationPreCallPayload.context`, `ComponentPreExecutePayload.context`, `SamplingLoopStartPayload.context`)
+- **`session`** — Available on session hook payloads (e.g., `SessionPostInitPayload.session`)
+- **`action`**, **`result`**, **`model_output`** — Available on the relevant pre/post payloads
+
+This design ensures that plugins access data through typed, documented, discoverable payload fields rather than untyped dict lookups on `global_context.state`.
+
+### Design rationale
+
+Previously, `context`, `session`, and `backend` were passed both on payloads and in `GlobalContext.state`, creating duplication. The same mutable object accessible via two paths was a footgun — plugins could be confused about which to read/modify. The refactored design:
+
+1. **Payloads** are the primary API surface — typed, documented, policy-controlled
+2. **GlobalContext** holds only truly ambient metadata (`backend_name`) that doesn't belong on any specific payload
+3. No mutable framework objects (`Backend`, `MelleaSession`, `Context`) are stored in GlobalContext
+
+## 6. Hook Results
+
+Hooks can return different result types to control execution:
+
+1. **Continue (no-op)** — `PluginResult(continue_processing=True)` with no `modified_payload`. Execution proceeds with the original payload unchanged.
+2. **Continue with modification** — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's `HookPayloadPolicy`, accepting only changes to writable fields. Execution proceeds with the policy-filtered payload.
+3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. Execution halts with structured error information via `PluginViolation`.
+
+These three outcomes are exhaustive. Hooks cannot redirect control flow, throw arbitrary exceptions, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type — there is no escape hatch. The `violation` field provides structured error information but does not influence which code path runs next.
+
+Because payloads are frozen, the `modified_payload` in option 2 must be a new object created via `payload.model_copy(update={...})` — not a mutated version of the original.
+
+### Modify Payload
+
+Use the `modify()` convenience helper to return a modified payload. It absorbs both the `model_copy` call and the `PluginResult` wrapping:
+
+```python
+from mellea.plugins import modify
+
+return modify(payload, model_options=new_options)
+```
+
+This is equivalent to the verbose form:
+
+```python
+modified = payload.model_copy(update={"model_options": new_options})
+return PluginResult(continue_processing=True, modified_payload=modified)
+```
+
+Multiple fields can be updated in a single call:
+
+```python
+return modify(payload, action=new_action, model_options=new_options)
+```
+
+> **Note**: Only changes to fields listed in the hook's `HookPayloadPolicy.writable_fields` will be accepted. Changes to other fields are silently discarded by the policy enforcement layer.
+
+### Block Execution
+
+Use the `block()` convenience helper to halt execution with structured violation information:
+
+```python
+from mellea.plugins import block
+
+return block("Token budget exceeded", code="BUDGET_001")
+```
+
+This is equivalent to the verbose form:
+
+```python
+violation = PluginViolation(
+    reason="Token budget exceeded",
+    code="BUDGET_001",
+)
+return PluginResult(continue_processing=False, violation=violation)
+```
+
+`block()` accepts an optional `description` (longer explanation), `details` (dict of structured metadata), in addition to `reason` and `code`.
+
+### Symmetry of `modify()` and `block()`
+
+`modify()` and `block()` are intentional counterparts: one for transforming, one for stopping. Reading a hook at a glance, `return modify(...)` signals a payload transformation continues processing, while `return block(...)` signals a hard stop:
+
+```python
+@hook("component_pre_execute", mode=PluginMode.SEQUENTIAL)
+async def enforce_and_redact(payload, ctx):
+    if is_restricted(payload.action):
+        return block("Restricted topic", code="POLICY_001")
+    if has_pii(payload.action):
+        return modify(payload, action=redact(payload.action))
+    # returning None continues processing unchanged
+```
+
+## 7. Registration & Configuration
+
+### Public API
+
+All plugin registration APIs are available from `mellea.plugins`:
+
+```python
+from mellea.plugins import Plugin, hook, block, modify, PluginSet, register, unregister
+```
+
+### Standalone Function Hooks
+
+The simplest way to define a hook handler is with the `@hook` decorator on a plain async function:
+
+```python
+from mellea.plugins import hook, block, PluginMode
+
+@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_budget(payload, ctx):
+    if (_estimate_tokens(payload) or 0) > 4000:
+        return block("Token budget exceeded")
+
+@hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
+async def log_result(payload, ctx):
+    print(f"[{payload.component_type}] {payload.latency_ms}ms")
+```
+
+**Parameters**:
+- `hook_type: str` — the hook point name (required, first positional argument)
+- `mode: PluginMode` — `PluginMode.SEQUENTIAL` (default), `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, or `PluginMode.FIRE_AND_FORGET`
+- `priority: int` — lower numbers execute first (default: 50)
+
+The `block()` helper is shorthand for returning `PluginResult(continue_processing=False, violation=PluginViolation(reason=...))`. It accepts an optional `code`, `description`, and `details` for structured violation information.
+
+### Class-Based Plugins
+
+For plugins that need shared state across multiple hooks, subclass `Plugin`:
+
+```python
+from mellea.plugins import Plugin, hook
+
+class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+    def __init__(self, patterns: list[str] | None = None):
+        self.patterns = patterns or []
+
+    @hook("component_pre_execute")
+    async def redact_input(self, payload, ctx):
+        ...
+
+    @hook("generation_post_call")
+    async def redact_output(self, payload, ctx):
+        ...
+```
+
+The `Plugin` base class uses `__init_subclass__` keyword arguments:
+- `name: str` — plugin name (required for registration)
+- `priority: int` — default priority for all hooks in this plugin (default: 50). Individual `@hook(priority=N)` on a method overrides this class-level default for that specific method. `PluginSet` priority overrides both.
+
+`Plugin` subclasses automatically support the context manager protocol (`with`/`async with`) for block-scoped activation.
+
+**Advanced: `MelleaPlugin` subclass** — for plugins that need cpex lifecycle hooks (`initialize`/`shutdown`) or typed context accessors. This is not part of the primary public API:
+
+```python
+from mellea.plugins.base import MelleaPlugin
+from mellea.plugins import hook
+
+class MetricsPlugin(MelleaPlugin):
+    def __init__(self, endpoint: str):
+        super().__init__()
+        self.endpoint = endpoint
+        self._buffer = []
+
+    async def initialize(self):
+        self._client = await connect(self.endpoint)
+
+    async def shutdown(self):
+        await self._client.flush(self._buffer)
+        await self._client.close()
+
+    @hook("component_post_success")
+    async def collect(self, payload, ctx):
+        backend = self.get_backend(ctx)  # typed accessor
+        self._buffer.append({"latency": payload.latency_ms})
+```
+
+### Composing Plugins with PluginSet
+
+`PluginSet` groups related hooks and plugins for reuse across sessions:
+
+```python
+from mellea.plugins import PluginSet
+
+security = PluginSet("security", [
+    enforce_budget,
+    PIIRedactor(patterns=[r"\d{3}-\d{2}-\d{4}"]),
+])
+
+observability = PluginSet("observability", [
+    log_result,
+    MetricsPlugin(endpoint="https://..."),
+])
+```
+
+`PluginSet` accepts standalone hook functions and `Plugin` subclass instances. PluginSets can be nested.
+
+### Global Registration
+
+Register plugins globally so they fire for all hook invocations — both session-based and functional API:
+
+```python
+from mellea.plugins import register
+
+register(security)                          # single item
+register([security, observability])         # list
+register(enforce_budget)                    # standalone function
+```
+
+`register()` accepts a single item or a list. Items can be standalone hook functions, plugin instances, or `PluginSet`s.
+
+### Global Deregistration
+
+To remove a globally registered plugin at runtime, use `unregister()`:
+
+```python
+from mellea.plugins import unregister
+
+unregister(security)                     # single item
+unregister([security, observability])    # list
+unregister(enforce_budget)              # standalone function
+```
+
+`unregister()` accepts the same item types as `register()`: standalone hook functions, `Plugin` subclass instances, and `PluginSet`s. Unregistering a `PluginSet` removes all of its member items. Calling `unregister()` on an item that is not currently registered is a no-op; it does not raise.
+
+`unregister()` applies only to globally registered plugins. Session-scoped plugins are deregistered automatically when their session ends; with-block-scoped plugins are deregistered on scope exit. Neither requires an explicit `unregister()` call.
+
+### Session-Scoped Registration
+
+Pass plugins to `start_session()` to scope them to that session:
+
+```python
+m = mellea.start_session(
+    backend_name="openai",
+    model_id="gpt-4",
+    plugins=[security, observability],
+)
+```
+
+The `plugins` parameter accepts the same types as `register()`: standalone hook functions, plugin instances, and `PluginSet`s. These plugins fire only within this session, in addition to any globally registered plugins. They are automatically deregistered when the session is cleaned up.
+
+### Functional API (No Session)
+
+When using the functional API directly:
+
+```python
+from mellea.stdlib.functional import instruct
+
+result = instruct(backend, context, "Extract the user's age")
+```
+
+Only globally registered plugins fire. If no global plugins are registered, hooks are no-ops with zero overhead. Session-scoped plugins do not apply because there is no session.
+
+### Priority
+
+- Lower numbers execute first
+- Within the same priority, execution order is deterministic but unspecified
+- Default priority: 50 (when no explicit priority is set anywhere)
+- Priority resolution order (highest precedence first):
+  1. `PluginSet` priority — overrides all items in the set, including nested `PluginSet`s
+  2. `@hook(priority=N)` on a method — overrides the class-level default for that specific method
+  3. `Plugin` class-level priority (`class Foo(Plugin, priority=N)`) — default for all methods without an explicit `@hook` priority
+  4. Framework default: 50
+- `HookMeta.priority` is `int | None` — `None` means "not explicitly set", resolved at registration time
+
+### YAML Configuration (Secondary)
+
+For deployment-time configuration, plugins can also be loaded from YAML. This is useful for enabling/disabling plugins or changing priorities without code changes:
+
+```yaml
+plugins:
+  - name: content-policy
+    kind: mellea.plugins.ContentPolicyPlugin
+    hooks:
+      - component_pre_create
+      - generation_post_call
+    mode: sequential
+    priority: 10
+    config:
+      blocked_terms: ["term1", "term2"]
+
+  - name: telemetry
+    kind: mellea.plugins.TelemetryPlugin
+    hooks:
+      - component_post_success
+      - validation_post_check
+      - sampling_loop_end
+    mode: fire_and_forget
+    priority: 100
+    config:
+      endpoint: "https://telemetry.example.com"
+```
+
+### Execution Modes (YAML / PluginMode Enum)
+
+The following modes are available in CPEX's `PluginMode` enum and YAML configuration:
+
+- **`sequential`** (`PluginMode.SEQUENTIAL`): Awaited inline, serial execution, block on violation
+- **`concurrent`** (`PluginMode.CONCURRENT`): Awaited inline, concurrent execution, violations honored
+- **`audit`** (`PluginMode.AUDIT`): Awaited inline, log violations without blocking
+- **`fire_and_forget`** (`PluginMode.FIRE_AND_FORGET`): Background task, result ignored
+- **`disabled`** (`PluginMode.DISABLED`): Skip hook execution (deployment-time only)
+
+The `@hook` decorator accepts Mellea's own `PluginMode` enum values (`SEQUENTIAL`, `CONCURRENT`, `AUDIT`, `FIRE_AND_FORGET`) which map to CPEX's internal `PluginMode`. The `disabled` mode is a deployment-time concern configured via YAML or programmatic `PluginConfig`.
+
+### Custom Hook Types
+
+The plugin framework supports custom hook types for domain-specific extension points beyond the built-in lifecycle hooks. This is particularly relevant for agentic patterns (ReAct, tool-use loops, etc.) where the execution flow is application-defined.
+
+Custom hooks use the same `@hook` decorator:
+
+```python
+@hook("react_pre_reasoning")
+async def before_reasoning(payload, ctx):
+    ...
+```
+
+Custom hooks follow the same calling convention, payload chaining, and result semantics as built-in hooks. The plugin manager discovers them via the decorator metadata at registration time. As agentic patterns stabilize in Mellea, frequently-used custom hooks may be promoted to built-in hooks.
+
+## 8. Example Implementations
+
+### Token Budget Enforcement (Standalone Function)
+
+```python
+from mellea.plugins import hook, block, PluginMode
+
+@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_token_budget(payload, ctx):
+    budget = 4000
+    estimated = _estimate_tokens(payload) or 0
+    if estimated > budget:
+        return block(
+            f"Estimated {estimated} tokens exceeds budget of {budget}",
+            code="TOKEN_BUDGET_001",
+            details={"estimated": estimated, "budget": budget},
+        )
+```
+
+### Content Policy (Standalone Function)
+
+```python
+from mellea.plugins import hook, block, PluginMode
+
+BLOCKED_TERMS = ["term1", "term2"]
+
+@hook("component_pre_create", mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_content_policy(payload, ctx):
+    # Only enforce on Instructions and GenerativeSlots
+    if payload.component_type not in ("Instruction", "GenerativeSlot"):
+        return None
+
+    for term in BLOCKED_TERMS:
+        if term.lower() in payload.description.lower():
+            return block(
+                f"Component contains blocked term: {term}",
+                code="CONTENT_POLICY_001",
+            )
+```
+
+### Audit Logger (Fire-and-Forget)
+
+```python
+from mellea.plugins import hook, PluginMode
+
+@hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
+async def audit_log_success(payload, ctx):
+    await send_to_audit_service({
+        "event": "generation_success",
+        "session_id": payload.session_id,
+        "component_type": payload.component_type,
+        "latency_ms": payload.latency_ms,
+        "timestamp": payload.timestamp.isoformat(),
+    })
+
+@hook("component_post_error", mode=PluginMode.FIRE_AND_FORGET)
+async def audit_log_error(payload, ctx):
+    await send_to_audit_service({
+        "event": "generation_error",
+        "session_id": payload.session_id,
+        "error_type": payload.error_type,
+        "timestamp": payload.timestamp.isoformat(),
+    })
+```
+
+### PII Redaction Plugin (Class-Based with `Plugin`)
+
+```python
+import re
+from mellea.plugins import Plugin, hook, PluginResult
+
+class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+    def __init__(self, patterns: list[str] | None = None):
+        self.patterns = patterns or [r"\d{3}-\d{2}-\d{4}"]
+
+    @hook("component_pre_create")
+    async def redact_input(self, payload, ctx):
+        redacted = self._redact(payload.description)
+        if redacted != payload.description:
+            modified = payload.model_copy(update={"description": redacted})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+    @hook("generation_post_call")
+    async def redact_output(self, payload, ctx):
+        # model_output is a ModelOutputThunk — value may be None (lazy/uncomputed)
+        output_value = getattr(payload.model_output, "value", None)
+        if output_value is None:
+            return  # thunk not yet computed, nothing to redact
+        redacted = self._redact(output_value)
+        if redacted != output_value:
+            payload.model_output.value = redacted
+
+    def _redact(self, text: str) -> str:
+        for pattern in self.patterns:
+            text = re.sub(pattern, "[REDACTED]", text)
+        return text
+```
+
+### Generative Slot Profiler (`Plugin` Subclass)
+
+```python
+from collections import defaultdict
+from mellea.plugins import Plugin, hook
+
+class SlotProfiler(Plugin, name="slot-profiler"):
+    """Tracks latency stats for GenerativeSlot executions."""
+
+    def __init__(self):
+        self._stats = defaultdict(lambda: {"calls": 0, "total_ms": 0})
+
+    @hook("component_post_success")
+    async def profile(self, payload, ctx):
+        if payload.component_type != "GenerativeSlot":
+            return None
+        stats = self._stats[payload.action.__name__]
+        stats["calls"] += 1
+        stats["total_ms"] += payload.latency_ms
+```
+
+### Composition Example
+
+```python
+from mellea.plugins import PluginSet, register
+import mellea
+
+# Group by concern
+security = PluginSet("security", [
+    enforce_token_budget,
+    enforce_content_policy,
+    PIIRedactor(patterns=[r"\d{3}-\d{2}-\d{4}"]),
+])
+
+observability = PluginSet("observability", [
+    audit_log_success,
+    audit_log_error,
+    SlotProfiler(),
+])
+
+# Global: fires for all invocations (session and functional API)
+register(observability)
+
+# Session-scoped: security only for this session
+m = mellea.start_session(
+    backend_name="openai",
+    model_id="gpt-4",
+    plugins=[security],
+)
+
+# Functional API: only global plugins (observability) fire
+from mellea.stdlib.functional import instruct
+result = instruct(backend, context, "Extract the user's age")
+```
+
+
+## 9. Hook Execution Flow
+
+### Simplified Main Flow
+
+```mermaid
+flowchart LR
+    A([Start]) --> B[Session Init]
+    B --> C[Component]
+    C --> D[Generation]
+    D --> E[Validation]
+    E --> F{OK?}
+    F --> |Yes| G[Success]
+    F --> |No| H[Error/Retry]
+    G --> I[Cleanup]
+    H --> I
+    I --> J([End])
+
+    style A fill:#e1f5fe
+    style J fill:#e1f5fe
+    style F fill:#fce4ec
+```
+
+### Detailed Flow
+
+```mermaid
+flowchart TD
+    A([User Request]) --> B
+
+    subgraph Session["Session Lifecycle"]
+        B[session_pre_init]
+        B --> C[session_post_init]
+    end
+
+    C --> D
+
+    subgraph CompLifecycle["Component Lifecycle"]
+        D[component_pre_create]
+        D --> E[component_post_create]
+        E --> F[component_pre_execute]
+    end
+
+    F --> G
+
+    subgraph Sampling["Sampling Loop (if strategy)"]
+        SL1[sampling_loop_start]
+        SL1 --> SL2[sampling_iteration]
+        SL2 --> SL3{Valid?}
+        SL3 --> |No| SL4[sampling_repair]
+        SL4 --> SL2
+        SL3 --> |Yes| SL5[sampling_loop_end]
+    end
+
+    subgraph Generation["LLM Generation"]
+        G[generation_pre_call]
+        G --> H{{LLM Call}}
+        H --> H2[generation_stream_chunk]
+        H2 --> I[generation_post_call]
+    end
+
+    I --> J
+
+    subgraph Tools["Tool Calling (if tools)"]
+        T1[tool_pre_invoke]
+        T1 --> T2{{Tool Execution}}
+        T2 --> T3[tool_post_invoke]
+    end
+
+    subgraph Validation["Validation"]
+        J[validation_pre_check]
+        J --> K{{Requirements Check}}
+        K --> L[validation_post_check]
+    end
+
+    L --> M{Success?}
+
+    M --> |Yes| N[component_post_success]
+    M --> |No| O[component_post_error]
+
+    N --> P[context_update]
+    O --> Q[error_occurred]
+
+    subgraph ContextOps["Context Operations"]
+        P[context_update]
+        P -.-> P2[context_prune]
+    end
+
+    subgraph Adapter["Backend Adapter Operations"]
+        AD1[adapter_pre_load]
+        AD1 --> AD2[adapter_post_load]
+        AD3[adapter_pre_unload]
+        AD3 --> AD4[adapter_post_unload]
+    end
+
+    subgraph Cleanup["Session End"]
+        R2[session_cleanup]
+        R[session_reset]
+    end
+
+    P --> R2
+    Q --> R2
+    R2 --> Z([End])
+
+    %% Styling
+    style A fill:#e1f5fe
+    style Z fill:#e1f5fe
+    style H fill:#fff3e0
+    style K fill:#fff3e0
+    style T2 fill:#fff3e0
+    style M fill:#fce4ec
+    style SL3 fill:#fce4ec
+```
+
+## 10. Observability Integration
+
+### Shallow Logging and OTel
+
+"Shallow logging" refers to OTel-instrumenting the HTTP transport layer of LLM client libraries (openai, ollama, litellm). This captures request/response spans at the network level without awareness of Mellea's semantic concepts (components, sampling strategies, validation).
+
+The hook system provides natural integration points for enriching these shallow spans with Mellea-level context:
+
+- **`generation_pre_call`**: Inject span attributes such as `component_type`, `strategy_name`, and `backend_name` (from `GlobalContext.state`) into the active OTel context before the HTTP call fires
+- **`generation_post_call`**: Attach result metadata — `finish_reason`, `token_usage`, validation outcome — to the span after the call completes
+
+> **Forward-looking**: Mellea does not currently include OTel integration. This section describes the intended design for how hooks and shallow logging would compose when OTel support is added.
+
+## 11. Error Handling, Security & Isolation
+
+### Error Handling
+
+- **Isolation**: Plugin exceptions should not crash Mellea sessions; wrap each handler in try/except
+- **Logging**: All plugin errors are logged with full context
+- **Timeouts**: Support configurable timeouts for plugin execution
+- **Circuit Breaker**: Disable failing plugins after repeated errors
+
+### Security Considerations
+
+- **Data Privacy**: Payloads may include user content; plugins must respect privacy policies
+- **Redaction**: Consider masking sensitive fields for plugins that should not see them
+- **Sandboxing**: Provide options to run plugins in restricted environments
+- **Validation**: Validate plugin inputs and outputs to prevent injection attacks
+
+### Isolation Options
+
+This is a proposal for supporting compartmentalized execution of plugins.
+
+```yaml
+plugins:
+  - name: untrusted-plugin
+    kind: external.UntrustedPlugin
+    isolation:
+      sandbox: true
+      timeout_ms: 5000
+      max_memory_mb: 256
+      allowed_operations: ["read_payload", "emit_metric"]
+```
+
+## 12. Backward Compatibility & Migration
+
+### Versioning
+
+- Hook payload contracts are versioned (e.g., `payload_version: "1.0"`)
+- Breaking changes increment major version
+- Deprecated fields marked and maintained for one major version
+- Hook payload versions are independent of Mellea release versions. Payload versions change only when the payload schema changes, which may or may not coincide with a Mellea release
+
+### Default Behavior
+
+- Without plugins registered, Mellea behavior is unchanged
+- Default "no-op" plugin manager if no configuration provided
diff --git a/docs/dev/hook_system_implementation_plan.md b/docs/dev/hook_system_implementation_plan.md
new file mode 100644
index 000000000..b37b976f5
--- /dev/null
+++ b/docs/dev/hook_system_implementation_plan.md
@@ -0,0 +1,1230 @@
+# Mellea Hook System Implementation Plan
+
+This document describes the implementation plan for the extensibility hook system specified in [`docs/dev/hook_system.md`](hook_system.md). The implementation uses [CPEX](https://github.com/contextforge-org/contextforge-plugins-framework) as an optional external dependency for core plumbing, while all Mellea-specific types — hook enums, payload models, and the plugin base class — are owned by Mellea under a new `mellea/plugins/` subpackage.
+
+The primary developer-facing API is the `@hook` decorator, the `Plugin` base class, and programmatic registration (`register()`, `PluginSet`). YAML configuration is supported as a secondary mechanism for deployment-time overrides. Plugins work identically whether invoked through a session or via the functional API (`instruct(backend, context, ...)`).
+
+## 1. Package Structure
+
+```
+mellea/plugins/
+├── __init__.py            # Public API: Plugin, hook, block, PluginSet, register, plugin_scope
+├── manager.py             # Singleton wrapper + session-tag filtering
+├── base.py                # Plugin base class, MelleaBasePayload, MelleaPlugin (advanced)
+├── types.py               # HookType enum, PluginMode enum + hook registration
+├── policies.py            # HookPayloadPolicy table + DefaultHookPolicy for Mellea hooks
+├── context.py             # Plugin context factory helper
+├── decorators.py          # @hook decorator implementation
+├── pluginset.py           # PluginSet class
+├── registry.py            # register(), block(), plugin_scope() + global/session dispatch logic
+└── hooks/
+    ├── __init__.py         # Re-exports all payload classes
+    ├── session.py          # session lifecycle payloads
+    ├── component.py        # component lifecycle payloads
+    ├── generation.py       # generation pipeline payloads
+    ├── validation.py       # validation payloads
+    ├── sampling.py         # sampling pipeline payloads
+    ├── tool.py             # tool execution payloads
+    ├── adapter.py          # adapter operation payloads
+    ├── context_ops.py      # context operation payloads
+    └── error.py            # error handling payload
+```
+
+## 2. CPEX (Key Interfaces Used)
+
+The following types from `cpex.framework` form the plumbing layer. Mellea uses these but does **not** import any CPEX-specific hook types (prompts, tools, resources, agents, http).
+
+| Type | Role |
+|------|------|
+| `Plugin` | ABC base class. `__init__(config: PluginConfig)`, `initialize()`, `shutdown()`. Hook methods discovered by convention (method name = hook type) or `@hook()` decorator. Signature: `async def hook_name(self, payload, context) -> PluginResult`. |
+| `PluginManager` | Borg singleton. `__init__(config_path, timeout, observability, hook_policies)`. Key methods: `invoke_hook(hook_type, payload, global_context, ...) -> (PluginResult, PluginContextTable)`, `has_hooks_for(hook_type) -> bool`, `initialize()`, `shutdown()`. The `hook_policies` parameter accepts a `dict[str, HookPayloadPolicy]` mapping hook types to their writable-field policies. |
+| `PluginPayload` | Base type for all hook payloads. Frozen Pydantic `BaseModel` (`ConfigDict(frozen=True)`). Plugins use `model_copy(update={...})` to propose modifications. |
+| `PluginResult[T]` | Generic result: `continue_processing: bool`, `modified_payload: T | None`, `violation: PluginViolation | None`, `metadata: dict`. |
+| `PluginViolation` | `reason`, `description`, `code`, `details`. |
+| `PluginConfig` | `name`, `kind`, `hooks`, `mode`, `priority`, `conditions`, `config`, ... |
+| `PluginMode` | `SEQUENTIAL`, `CONCURRENT`, `AUDIT`, `FIRE_AND_FORGET`, `DISABLED`. |
+| `PluginContext` | `state: dict`, `global_context: GlobalContext`, `metadata: dict`. |
+| `HookPayloadPolicy` | Frozen dataclass with `writable_fields: frozenset[str]`. Defines which payload fields plugins may modify for a given hook type. |
+| `DefaultHookPolicy` | Enum: `ALLOW` (accept all modifications), `DENY` (reject all modifications). Controls behavior for hooks without an explicit policy. |
+| `apply_policy()` | `apply_policy(original, modified, policy) -> BaseModel \| None`. Accepts only changes to writable fields via `model_copy(update=...)`, discarding unauthorized changes. Returns `None` if no effective changes. |
+| `HookRegistry` | `get_hook_registry()`, `register_hook(hook_type, payload_class, result_class)`, `is_registered(hook_type)`. |
+| `@hook` decorator | `@hook("hook_type")` or `@hook("hook_type", PayloadType, ResultType)` for custom method names. |
+
+### Class Diagram
+
+```mermaid
+classDiagram
+      direction TB
+
+      %% Core Plugin Classes
+      class Plugin {
+          <<abstract>>
+          +__init__(config: PluginConfig)
+          +initialize()* async
+          +shutdown()* async
+          +hook_name(payload, context)* async PluginResult
+      }
+
+      class PluginManager {
+          <<singleton>>
+          -config_path: str
+          -timeout: int
+          -observability: Any
+          -hook_registry: HookRegistry
+          -hook_policies: dict~str, HookPayloadPolicy~
+          +__init__(config_path, timeout, observability, hook_policies)
+          +invoke_hook(hook_type, payload, global_context, ...) tuple~PluginResult, PluginContextTable~
+          +has_hooks_for(hook_type: str) bool
+          +initialize() async
+          +shutdown() async
+      }
+
+      %% Configuration
+      class PluginConfig {
+          +name: str
+          +kind: str
+          +hooks: list~str~
+          +mode: PluginMode
+          +priority: int
+          +conditions: dict
+          +config: dict
+      }
+
+      class PluginMode {
+          <<enumeration>>
+          SEQUENTIAL
+          CONCURRENT
+          AUDIT
+          FIRE_AND_FORGET
+          DISABLED
+      }
+
+      %% Policy
+      class HookPayloadPolicy {
+          <<frozen dataclass>>
+          +writable_fields: frozenset~str~
+      }
+
+      class DefaultHookPolicy {
+          <<enumeration>>
+          ALLOW
+          DENY
+      }
+
+      %% Payload & Result
+      class PluginPayload {
+          <<type alias>>
+          pydantic.BaseModel
+          model_config: frozen=True
+      }
+
+      class PluginResult~T~ {
+          +continue_processing: bool
+          +modified_payload: T | None
+          +violation: PluginViolation | None
+          +metadata: dict
+      }
+
+      class PluginViolation {
+          +reason: str
+          +description: str
+          +code: str
+          +details: dict
+      }
+
+      %% Context
+      class PluginContext {
+          +state: dict
+          +global_context: GlobalContext
+          +metadata: dict
+      }
+
+      class hook {
+          <<decorator>>
+          +__call__(hook_type: str)
+          +__call__(hook_type, PayloadType, ResultType)
+      }
+
+      %% Relationships
+      Plugin --> PluginConfig : configured by
+      Plugin ..> PluginPayload : receives
+      Plugin ..> PluginResult : returns
+      Plugin ..> PluginContext : receives
+      Plugin ..> hook : decorated by
+
+      PluginManager --> Plugin : manages 0..*
+      PluginManager --> HookPayloadPolicy : enforces per hook
+
+      PluginConfig --> PluginMode : has
+
+      PluginResult --> PluginViolation : may contain
+      PluginResult --> PluginPayload : wraps modified
+```
+
+### YAML Plugin Configuration (reference)
+
+Plugins can also be configured via YAML as a secondary mechanism. Programmatic registration via `@hook`, `Plugin` subclasses, and `register()` is the primary approach.
+
+```yaml
+plugins:
+  - name: content-policy
+    kind: mellea.plugins.examples.ContentPolicyPlugin
+    hooks:
+      - component_pre_create
+      - generation_post_call
+    mode: sequential
+    priority: 10
+    config:
+      blocked_terms: ["term1", "term2"]
+
+  - name: telemetry
+    kind: mellea.plugins.examples.TelemetryPlugin
+    hooks:
+      - component_post_success
+      - sampling_loop_end
+    mode: fire_and_forget
+    priority: 100
+    config:
+      endpoint: "https://telemetry.example.com"
+```
+
+### Mellea Wrapper Layer
+
+Mellea exposes its own `@hook` decorator and `Plugin` base class that translate to CPEX registrations internally. This serves two purposes:
+
+1. **Mellea-aligned API**: The `@hook` decorator accepts a `mode` parameter using Mellea's own `PluginMode` enum (`PluginMode.SEQUENTIAL`, `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, `PluginMode.FIRE_AND_FORGET`), which maps to CPEX's internal `PluginMode` enum. The `Plugin` base class uses `__init_subclass__` keyword arguments (`name=`, `priority=`) for ergonomic metadata declaration.
+2. **Session tagging**: Mellea's wrapper adds session-scoping metadata that CPEX's `PluginManager` does not natively support. The `manager.py` layer filters hooks at dispatch time based on session tags.
+
+Users never import from `cpex.framework` directly.
+
+## 3. Core Types
+
+### 3.1 `HookType` enum (`mellea/plugins/types.py`)
+
+A single `HookType(str, Enum)` containing all hook types. String-based values for compatibility with CPEX's `invoke_hook(hook_type: str, ...)`.
+
+```python
+class HookType(str, Enum):
+    # Session Lifecycle
+    SESSION_PRE_INIT = "session_pre_init"
+    SESSION_POST_INIT = "session_post_init"
+    SESSION_RESET = "session_reset"
+    SESSION_CLEANUP = "session_cleanup"
+
+    # Component Lifecycle
+    COMPONENT_PRE_CREATE = "component_pre_create"
+    COMPONENT_POST_CREATE = "component_post_create"
+    COMPONENT_PRE_EXECUTE = "component_pre_execute"
+    COMPONENT_POST_SUCCESS = "component_post_success"
+    COMPONENT_POST_ERROR = "component_post_error"
+
+    # Generation Pipeline
+    GENERATION_PRE_CALL = "generation_pre_call"
+    GENERATION_POST_CALL = "generation_post_call"
+    GENERATION_STREAM_CHUNK = "generation_stream_chunk"
+
+    # Validation
+    VALIDATION_PRE_CHECK = "validation_pre_check"
+    VALIDATION_POST_CHECK = "validation_post_check"
+
+    # Sampling Pipeline
+    SAMPLING_LOOP_START = "sampling_loop_start"
+    SAMPLING_ITERATION = "sampling_iteration"
+    SAMPLING_REPAIR = "sampling_repair"
+    SAMPLING_LOOP_END = "sampling_loop_end"
+
+    # Tool Execution
+    TOOL_PRE_INVOKE = "tool_pre_invoke"
+    TOOL_POST_INVOKE = "tool_post_invoke"
+
+    # Backend Adapter Ops
+    ADAPTER_PRE_LOAD = "adapter_pre_load"
+    ADAPTER_POST_LOAD = "adapter_post_load"
+    ADAPTER_PRE_UNLOAD = "adapter_pre_unload"
+    ADAPTER_POST_UNLOAD = "adapter_post_unload"
+
+    # Context Operations
+    CONTEXT_UPDATE = "context_update"
+    CONTEXT_PRUNE = "context_prune"
+
+    # Error Handling
+    ERROR_OCCURRED = "error_occurred"
+```
+
+### 3.2 `MelleaBasePayload` (`mellea/plugins/base.py`)
+
+All Mellea hook payloads inherit from this base, which extends `PluginPayload` with the common fields from the hook system spec (Section 2):
+
+```python
+class MelleaBasePayload(PluginPayload):
+    """Frozen base — all payloads are immutable by design.
+
+    Plugins must use ``model_copy(update={...})`` to propose modifications
+    and return the copy via ``PluginResult.modified_payload``.  The plugin
+    manager applies the hook's ``HookPayloadPolicy`` to filter changes to
+    writable fields only.
+    """
+    model_config = ConfigDict(frozen=True, arbitrary_types_allowed=True)
+
+    session_id: str | None = None
+    request_id: str
+    timestamp: datetime = Field(default_factory=datetime.utcnow)
+    hook: str
+    user_metadata: dict[str, Any] = Field(default_factory=dict)
+```
+
+`frozen=True` prevents in-place mutations — attribute assignment on a payload instance raises `FrozenModelError`. `arbitrary_types_allowed=True` is required because payloads include non-serializable Mellea objects (`Backend`, `Context`, `Component`, `ModelOutputThunk`). This means external plugins cannot receive these payloads directly; they are designed for native in-process plugins.
+
+### 3.3 Hook Registration (`mellea/plugins/types.py`)
+
+A `register_mellea_hooks()` function registers all hook types with CPEX `HookRegistry`. Called once during plugin initialization. Idempotent via `is_registered()` check.
+
+```python
+def register_mellea_hooks() -> None:
+    registry = get_hook_registry()
+    for hook_type, (payload_cls, result_cls) in _HOOK_REGISTRY.items():
+        if not registry.is_registered(hook_type):
+            registry.register_hook(hook_type, payload_cls, result_cls)
+```
+
+### 3.4 Context Mapping (`mellea/plugins/context.py`)
+
+CPEX provides a generic `GlobalContext` with a `state: dict`. The `build_global_context` factory populates it with lightweight, cross-cutting ambient metadata. Hook-specific data (context, session, action, etc.) belongs on the typed payload, not here.
+
+```python
+def build_global_context(
+    *,
+    backend: Backend | None = None,
+    **extra_fields,
+) -> GlobalContext:
+    state: dict[str, Any] = {}
+    if backend is not None:
+        state["backend_name"] = getattr(backend, "model_id", "unknown")
+    state.update(extra_fields)
+    return GlobalContext(request_id="", state=state)
+```
+
+> **Design note**: Previously, `context`, `session`, and the full `backend` object were stored in `GlobalContext.state`, duplicating data already present on typed payloads. This was removed to eliminate the duplication footgun — plugins should access domain objects through the typed, policy-controlled payload fields.
+
+### 3.5 `Plugin` Base Class (`mellea/plugins/base.py`)
+
+`Plugin` is the primary base class for multi-hook Mellea plugins. It is one of two ways to define plugins, alongside `@hook` on standalone functions (simplest). `Plugin` provides automatic context-manager support and plugin metadata via `__init_subclass__` keyword arguments.
+
+```python
+class Plugin:
+    """Base class for multi-hook Mellea plugins.
+
+    Subclasses get automatic context-manager support and plugin metadata::
+
+        class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+            @hook(HookType.COMPONENT_PRE_CREATE, mode=PluginMode.SEQUENTIAL)
+            async def redact_input(self, payload, ctx):
+                ...
+
+        with PIIRedactor():
+            result = session.instruct("...")
+    """
+
+    def __init_subclass__(
+        cls, *, name: str = "", priority: int = 50, **kwargs: Any
+    ) -> None:
+        """Set plugin metadata on subclasses that provide a ``name``."""
+        super().__init_subclass__(**kwargs)
+        if name:
+            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)
+
+    def __enter__(self) -> Any: ...
+    def __exit__(self, exc_type, exc_val, exc_tb) -> None: ...
+    async def __aenter__(self) -> Any: ...
+    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None: ...
+```
+
+`Plugin` has no cpex dependency and does not require lifecycle hooks. All context-manager methods delegate to `_plugin_cm_enter`/`_plugin_cm_exit` module-level helpers that handle UUID scope generation and registration/deregistration.
+
+### 3.5b `MelleaPlugin` Advanced Base Class (`mellea/plugins/base.py`)
+
+`MelleaPlugin` extends CPEX's `Plugin` with typed context accessor helpers. Use this **only** when you need cpex lifecycle hooks (`initialize`/`shutdown`) or typed context accessors. For all other cases, prefer the lighter-weight `Plugin` base class.
+
+```python
+class MelleaPlugin(_CpexPlugin):
+    """Advanced base class for Mellea plugins with lifecycle hooks and typed accessors."""
+
+    def get_backend_name(self, context: PluginContext) -> str | None:
+        return context.global_context.state.get("backend_name")
+
+    @property
+    def plugin_config(self) -> dict[str, Any]:
+        return self._config.config or {}
+```
+
+`MelleaPlugin` is **not** part of the primary public API and is not exported from `mellea.plugins`. Users who need it import it directly from `mellea.plugins.base`. CPEX's `initialize()` and `shutdown()` suffice — no new abstract methods are added.
+
+### 3.6 `@hook` Decorator (`mellea/plugins/decorators.py`)
+
+The `@hook` decorator works on both standalone async functions and `Plugin` subclass methods:
+
+```python
+@dataclass(frozen=True)
+class HookMeta:
+    hook_type: str
+    mode: PluginMode = PluginMode.SEQUENTIAL
+    priority: int = 50
+
+def hook(
+    hook_type: str,
+    *,
+    mode: PluginMode = PluginMode.SEQUENTIAL,
+    priority: int = 50,
+) -> Callable:
+    """Register an async function or method as a hook handler."""
+    def decorator(fn):
+        import inspect
+        if not inspect.iscoroutinefunction(fn):
+            raise TypeError(
+                f"@hook-decorated function {fn.__qualname__!r} must be async "
+                f"(defined with 'async def'), got a regular function."
+            )
+        fn._mellea_hook_meta = HookMeta(
+            hook_type=hook_type,
+            mode=mode,
+            priority=priority,
+        )
+        return fn
+    return decorator
+```
+
+The `mode` parameter uses Mellea's `PluginMode` enum, which maps to CPEX's internal `PluginMode`:
+- `PluginMode.SEQUENTIAL`: Hook is awaited inline, executed serially. Violations halt the chain.
+- `PluginMode.CONCURRENT`: Hook is awaited inline, but run concurrently with other `concurrent` hooks. Violations are honored.
+- `PluginMode.AUDIT`: Hook is awaited inline. Violations are logged but execution continues.
+- `PluginMode.FIRE_AND_FORGET`: Hook is dispatched as a background `asyncio.create_task()`. Result is ignored. This is handled by CPEX's `PluginManager` dispatch logic.
+
+When used on a standalone function, the metadata is read at `register()` time or when passed to `start_session(plugins=[...])`. When used on a `Plugin` subclass method, it is discovered during class registration via `_ClassPluginAdapter` introspection.
+
+### 3.7 `PluginMeta` (`mellea/plugins/base.py`)
+
+Plugin metadata is attached to `Plugin` subclasses automatically via `__init_subclass__`:
+
+```python
+@dataclass(frozen=True)
+class PluginMeta:
+    name: str
+    priority: int = 50
+```
+
+When a class inherits from `Plugin` with `name=` and/or `priority=` keyword arguments, `__init_subclass__` stores a `PluginMeta` instance as `cls._mellea_plugin_meta`. On registration, all methods with `_mellea_hook_meta` are discovered and registered as hook handlers bound to the instance. Methods without `@hook` are ignored.
+
+### 3.8 `PluginSet` (`mellea/plugins/pluginset.py`)
+
+A named, composable group of hook functions and plugin instances:
+
+```python
+class PluginSet:
+    def __init__(
+        self,
+        name: str,
+        items: list[Callable | Any | "PluginSet"],
+        *,
+        priority: int | None = None,
+    ):
+        self.name = name
+        self.items = items
+        self.priority = priority
+
+    def flatten(self) -> list[tuple[Callable | Any, int | None]]:
+        """Recursively flatten nested PluginSets into (item, priority_override) pairs."""
+        result = []
+        for item in self.items:
+            if isinstance(item, PluginSet):
+                result.extend(item.flatten())
+            else:
+                result.append((item, self.priority))
+        return result
+```
+
+PluginSets are inert containers — they do not register anything themselves. Registration happens when they are passed to `register()` or `start_session(plugins=[...])`.
+
+### 3.9 `block()` Helper (`mellea/plugins/registry.py`)
+
+Convenience function for returning a blocking result from a hook:
+
+```python
+def block(
+    reason: str,
+    *,
+    code: str = "",
+    description: str = "",
+    details: dict[str, Any] | None = None,
+) -> PluginResult:
+    return PluginResult(
+        continue_processing=False,
+        violation=PluginViolation(
+            reason=reason,
+            description=description or reason,
+            code=code,
+            details=details or {},
+        ),
+    )
+```
+
+
+### 3.10 Hook Payload Policies (`mellea/plugins/policies.py`)
+
+Defines the concrete per-hook-type policies for Mellea hooks. These are injected into the `PluginManager` at initialization time via the `hook_policies` parameter.
+
+```python
+from cpex.framework.hooks.policies import HookPayloadPolicy
+
+MELLEA_HOOK_PAYLOAD_POLICIES: dict[str, HookPayloadPolicy] = {
+    # Session Lifecycle
+    "session_pre_init": HookPayloadPolicy(
+        writable_fields=frozenset({"model_id", "model_options"}),
+    ),
+    # session_post_init, session_reset, session_cleanup: observe-only (no entry)
+
+    # Component Lifecycle
+    "component_pre_create": HookPayloadPolicy(
+        writable_fields=frozenset({
+            "description", "images", "requirements", "icl_examples",
+            "grounding_context", "user_variables", "prefix", "template_id",
+        }),
+    ),
+    "component_post_create": HookPayloadPolicy(
+        writable_fields=frozenset({"component"}),
+    ),
+    "component_pre_execute": HookPayloadPolicy(
+        writable_fields=frozenset({
+            "requirements", "model_options", "format",
+            "strategy", "tool_calls_enabled",
+        }),
+    ),
+    # component_post_success, component_post_error: observe-only
+
+    # Generation Pipeline
+    "generation_pre_call": HookPayloadPolicy(
+        writable_fields=frozenset({"model_options", "format", "tool_calls"}),
+    ),
+    # generation_post_call: observe-only
+    "generation_stream_chunk": HookPayloadPolicy(
+        writable_fields=frozenset({"chunk", "accumulated"}),
+    ),
+
+    # Validation
+    "validation_pre_check": HookPayloadPolicy(
+        writable_fields=frozenset({"requirements", "model_options"}),
+    ),
+    "validation_post_check": HookPayloadPolicy(
+        writable_fields=frozenset({"results", "all_validations_passed"}),
+    ),
+
+    # Sampling Pipeline
+    "sampling_loop_start": HookPayloadPolicy(
+        writable_fields=frozenset({"loop_budget"}),
+    ),
+    # sampling_iteration, sampling_repair, sampling_loop_end: observe-only
+
+    # Tool Execution
+    "tool_pre_invoke": HookPayloadPolicy(
+        writable_fields=frozenset({"model_tool_call"}),
+    ),
+    "tool_post_invoke": HookPayloadPolicy(
+        writable_fields=frozenset({"tool_output"}),
+    ),
+
+    # adapter_*, context_*, error_occurred: observe-only (no entry)
+}
+```
+
+Hooks absent from this table are observe-only. With `DefaultHookPolicy.DENY` (the Mellea default), any modification attempt on an observe-only hook is rejected with a warning log.
+
+## 4. Plugin Manager Integration (`mellea/plugins/manager.py`)
+
+### 4.1 Lazy Singleton Wrapper
+
+The `PluginManager` is lazily initialized on first use (either via `register()` or `start_session(plugins=[...])`). A config path is no longer required — code-first registration may be the only path.
+
+```python
+_plugin_manager: PluginManager | None = None
+_plugins_enabled: bool = False
+_session_tags: dict[str, set[str]] = {}  # session_id -> set of plugin keys
+
+def has_plugins() -> bool:
+    """Fast check: are plugins configured and available?"""
+    return _plugins_enabled
+
+def get_plugin_manager() -> PluginManager | None:
+    """Returns the initialized PluginManager, or None if plugins are not configured."""
+    return _plugin_manager
+
+def ensure_plugin_manager() -> PluginManager:
+    """Lazily initialize the PluginManager if not already created."""
+    global _plugin_manager, _plugins_enabled
+    if _plugin_manager is None:
+        register_mellea_hooks()
+        pm = PluginManager(
+            "",
+            timeout=5,
+            hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,
+        )
+        _run_async_in_thread(pm.initialize())
+        _plugin_manager = pm
+        _plugins_enabled = True
+    return _plugin_manager
+
+async def initialize_plugins(
+    config_path: str | None = None, *, timeout: float = 5.0
+) -> PluginManager:
+    """Initialize the PluginManager with Mellea hook registrations and optional YAML config."""
+    global _plugin_manager, _plugins_enabled
+    register_mellea_hooks()
+    pm = PluginManager(
+        config_path or "",
+        timeout=int(timeout),
+        hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,
+    )
+    await pm.initialize()
+    _plugin_manager = pm
+    _plugins_enabled = True
+    return pm
+
+async def shutdown_plugins() -> None:
+    """Shut down the PluginManager."""
+    global _plugin_manager, _plugins_enabled, _session_tags
+    if _plugin_manager is not None:
+        await _plugin_manager.shutdown()
+    _plugin_manager = None
+    _plugins_enabled = False
+    _session_tags.clear()
+```
+
+### 4.2 `invoke_hook()` Central Helper
+
+All hook call sites use this single function. Three layers of no-op guards ensure zero overhead when plugins are not configured:
+
+1. **`_plugins_enabled` boolean** — module-level, a single pointer dereference
+2. **`has_hooks_for(hook_type)`** — skips invocation when no plugin subscribes to this hook
+3. **Returns `(None, original_payload)` immediately** when either guard fails
+
+The wrapper accepts only `backend` and optional `**context_fields` as kwargs. Domain-specific data (context, session, action, etc.) belongs on the typed payload, not on the invocation kwargs.
+
+```python
+async def invoke_hook(
+    hook_type: HookType,
+    payload: MelleaBasePayload,
+    *,
+    backend: Backend | None = None,
+    **context_fields,
+) -> tuple[PluginResult | None, MelleaBasePayload]:
+    """Invoke a hook if plugins are configured.
+
+    Returns (result, possibly-modified-payload).
+    If plugins are not configured, returns (None, original_payload) immediately.
+    """
+    if not _plugins_enabled or _plugin_manager is None:
+        return None, payload
+
+    if not _plugin_manager.has_hooks_for(hook_type.value):
+        return None, payload
+
+    # Payloads are frozen — use model_copy to set dispatch-time fields
+    updates: dict[str, Any] = {"hook": hook_type.value}
+    payload = payload.model_copy(update=updates)
+
+    global_ctx = build_global_context(backend=backend, **context_fields)
+
+    result, _ = await _plugin_manager.invoke_hook(
+        hook_type=hook_type.value,
+        payload=payload,
+        global_context=global_ctx,
+        violations_as_exceptions=False,
+    )
+
+    modified = result.modified_payload if result and result.modified_payload else payload
+    return result, modified
+```
+
+### 4.3 Session-Scoped Registration
+
+`start_session()` in `mellea/stdlib/session.py` gains an optional `plugins` keyword parameter:
+
+```python
+def start_session(
+    ...,
+    plugins: list[Callable | Any | PluginSet] | None = None,
+) -> MelleaSession:
+```
+
+When `plugins` is provided, `start_session()` registers each item with the session's ID via `register(items, session_id=session.id)`. These plugins fire only within this session, in addition to any globally registered plugins. They are automatically deregistered when the session is cleaned up (at `session_cleanup`).
+
+### 4.4 With-Block-Scoped Registration (Context Managers)
+
+Both plugin forms — standalone `@hook` functions and `Plugin` subclass instances — plus `PluginSet` support the Python context manager protocol for block-scoped activation. This is a fourth registration scope complementing global, session-scoped, and YAML-configured plugins.
+
+#### Mechanism
+
+With-block scopes reuse the existing `session_id` tagging infrastructure from section 4.3. Each `with` entry generates a fresh UUID scope ID, registers plugins with that scope ID, and deregisters them by scope ID on exit. The `_session_tags` dict in `manager.py` tracks these scope IDs alongside session IDs — the manager makes no distinction between them at dispatch time.
+
+#### `plugin_scope()` factory (`mellea/plugins/registry.py`)
+
+A `_PluginScope` internal class and `plugin_scope()` public factory serve as the universal entry point, accepting any mix of standalone functions, `Plugin` instances, and `PluginSet`s:
+
+```python
+class _PluginScope:
+    """Context manager that activates a set of plugins for a block of code."""
+
+    def __init__(self, items: list[Callable | Any | PluginSet]) -> None:
+        self._items = items
+        self._scope_id: str | None = None
+
+    def _activate(self) -> None:
+        self._scope_id = str(uuid.uuid4())
+        register(self._items, session_id=self._scope_id)
+
+    def _deactivate(self) -> None:
+        if self._scope_id is not None:
+            deregister_session_plugins(self._scope_id)
+            self._scope_id = None
+
+    def __enter__(self) -> _PluginScope:
+        self._activate()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
+        self._deactivate()
+
+    async def __aenter__(self) -> _PluginScope:
+        self._activate()
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
+        self._deactivate()
+
+
+def plugin_scope(*items: Callable | Any | PluginSet) -> _PluginScope:
+    """Create a context manager that activates the given plugins for a block of code."""
+    return _PluginScope(list(items))
+```
+
+#### `Plugin` subclass instances (`mellea/plugins/base.py`)
+
+The `Plugin` base class provides `__enter__`, `__exit__`, `__aenter__`, `__aexit__` directly. The context-manager methods delegate to module-level helpers:
+
+```python
+def _plugin_cm_enter(self: Any) -> Any:
+    if getattr(self, "_scope_id", None) is not None:
+        meta = getattr(type(self), "_mellea_plugin_meta", None)
+        plugin_name = meta.name if meta else type(self).__name__
+        raise RuntimeError(
+            f"Plugin {plugin_name!r} is already active as a context manager. "
+            "Concurrent or nested reuse of the same instance is not supported; "
+            "create a new instance instead."
+        )
+    self._scope_id = str(uuid.uuid4())
+    register(self, session_id=self._scope_id)
+    return self
+
+
+def _plugin_cm_exit(self: Any, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+    scope_id = getattr(self, "_scope_id", None)
+    if scope_id is not None:
+        deregister_session_plugins(scope_id)
+        self._scope_id = None
+
+
+class Plugin:
+    def __init_subclass__(cls, *, name: str = "", priority: int = 50, **kwargs):
+        super().__init_subclass__(**kwargs)
+        if name:
+            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)
+
+    def __enter__(self) -> Any:
+        return _plugin_cm_enter(self)
+
+    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
+        _plugin_cm_exit(self, exc_type, exc_val, exc_tb)
+
+    async def __aenter__(self) -> Any:
+        return self.__enter__()
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
+        self.__exit__(exc_type, exc_val, exc_tb)
+```
+
+#### `PluginSet` (`mellea/plugins/pluginset.py`)
+
+`PluginSet` gains the same context manager protocol using the same UUID scope ID pattern:
+
+```python
+def __enter__(self) -> PluginSet:
+    if self._scope_id is not None:
+        raise RuntimeError(
+            f"PluginSet {self.name!r} is already active as a context manager. "
+            "Create a new instance to use in a separate scope."
+        )
+    self._scope_id = str(uuid.uuid4())
+    register(self, session_id=self._scope_id)
+    return self
+
+def __exit__(self, exc_type, exc_val, exc_tb) -> None:
+    if self._scope_id is not None:
+        deregister_session_plugins(self._scope_id)
+        self._scope_id = None
+
+async def __aenter__(self) -> PluginSet:
+    return self.__enter__()
+
+async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
+    self.__exit__(exc_type, exc_val, exc_tb)
+```
+
+#### `MelleaPlugin` (`mellea/plugins/base.py`)
+
+`MelleaPlugin` also supports the context manager protocol. Because `MelleaPlugin` subclasses CPEX `Plugin` (which owns `__init__`), the scope ID is stored as an instance attribute accessed via `getattr` with a default rather than declared in `__init__`:
+
+```python
+def __enter__(self) -> MelleaPlugin:
+    if getattr(self, "_scope_id", None) is not None:
+        raise RuntimeError(
+            f"MelleaPlugin {self.name!r} is already active as a context manager. "
+            "Create a new instance to use in a separate scope."
+        )
+    self._scope_id = str(uuid.uuid4())
+    register(self, session_id=self._scope_id)
+    return self
+
+def __exit__(self, exc_type, exc_val, exc_tb) -> None:
+    scope_id = getattr(self, "_scope_id", None)
+    if scope_id is not None:
+        deregister_session_plugins(scope_id)
+        self._scope_id = None
+
+async def __aenter__(self) -> MelleaPlugin:
+    return self.__enter__()
+
+async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
+    self.__exit__(exc_type, exc_val, exc_tb)
+```
+
+#### Deregistration helper (`mellea/plugins/manager.py`)
+
+A `deregister_session_plugins(scope_id)` function removes all plugins tagged with a given scope ID from the `PluginManager` and cleans up the `_session_tags` entry. This is the same function used by `session_cleanup` to deregister session-scoped plugins:
+
+```python
+def deregister_session_plugins(session_id: str) -> None:
+    """Deregister all plugins associated with a given session or scope ID."""
+    pm = _plugin_manager
+    if pm is None:
+        return
+    plugin_keys = _session_tags.pop(session_id, set())
+    for key in plugin_keys:
+        pm.deregister(key)
+```
+
+#### Public API
+
+`plugin_scope` is exported from `mellea.plugins`:
+
+```python
+from mellea.plugins import plugin_scope
+```
+
+All three forms (`plugin_scope`, `Plugin` subclass instance, `PluginSet`) support both `with` and `async with`. `MelleaPlugin` instances also support the protocol for advanced use cases. The same-instance re-entrant restriction applies to all forms: attempting to re-enter an already-active instance raises `RuntimeError`. Create separate instances to activate the same plugin logic in nested or concurrent scopes.
+
+### 4.5 Dependency Management
+
+Add to `pyproject.toml` under `[project.optional-dependencies]`:
+
+```toml
+plugins = ["contextforge-plugin-framework>=0.1.0"]
+```
+
+All imports in `mellea/plugins/` are guarded with `try/except ImportError`.
+
+### 4.6 Global Registration (`mellea/plugins/registry.py`)
+
+Global registration happens via `register()` at application startup:
+
+```python
+def register(
+    items: Callable | Any | PluginSet | list[Callable | Any | PluginSet],
+    *,
+    session_id: str | None = None,
+) -> None:
+    """Register plugins globally or for a specific session.
+
+    When session_id is None, plugins are global (fire for all invocations).
+    When session_id is provided, plugins fire only within that session.
+
+    Accepts standalone @hook functions, Plugin subclass instances,
+    MelleaPlugin instances, PluginSets, or lists thereof.
+    """
+    pm = ensure_plugin_manager()
+
+    if not isinstance(items, list):
+        items = [items]
+
+    for item in items:
+        if isinstance(item, PluginSet):
+            for flattened_item, priority_override in item.flatten():
+                _register_single(pm, flattened_item, session_id, priority_override)
+        else:
+            _register_single(pm, item, session_id, None)
+
+
+def _register_single(
+    pm: PluginManager,
+    item: Callable | Any,
+    session_id: str | None,
+    priority_override: int | None,
+) -> None:
+    """Register a single hook function or plugin instance.
+
+    - Standalone functions with _mellea_hook_meta: wrapped in _FunctionHookAdapter
+    - Plugin subclass instances (with _mellea_plugin_meta): methods with _mellea_hook_meta discovered and wrapped in _ClassPluginAdapter
+    - MelleaPlugin instances: registered directly with CPEX
+    """
+    ...
+```
+
+A `_FunctionHookAdapter` internal class wraps a standalone `@hook`-decorated function into a CPEX `Plugin` for the `PluginManager`. A `_ClassPluginAdapter` wraps `Plugin` subclass instances similarly, discovering all `@hook`-decorated methods:
+
+```python
+class _FunctionHookAdapter(Plugin):
+    """Adapts a standalone @hook-decorated function into a CPEX Plugin."""
+
+    def __init__(self, fn: Callable, session_id: str | None = None):
+        meta = fn._mellea_hook_meta
+        config = PluginConfig(
+            name=fn.__qualname__,
+            kind=fn.__module__ + "." + fn.__qualname__,
+            hooks=[meta.hook_type],
+            mode=_map_mode(meta.mode),
+            priority=meta.priority,
+        )
+        super().__init__(config)
+        self._fn = fn
+        self._session_id = session_id
+
+    async def initialize(self):
+        pass
+
+    async def shutdown(self):
+        pass
+```
+
+## 5. Hook Call Sites
+
+**Session context threading**: All `invoke_hook` calls pass `session_id` when operating within a session. For the functional API path, `session_id` is `None` and only globally registered plugins are dispatched. Session-scoped plugins (registered via `start_session(plugins=[...])`) fire only when the dispatch context matches their session ID.
+
+### 5.1 Session Lifecycle
+
+**File**: `mellea/stdlib/session.py`
+
+`start_session()` gains the `plugins` parameter for session-scoped registration:
+
+```python
+def start_session(
+    backend_name: ... = "ollama",
+    model_id: ... = IBM_GRANITE_4_MICRO_3B,
+    ctx: Context | None = None,
+    *,
+    model_options: dict | None = None,
+    plugins: list[Callable | Any | PluginSet] | None = None,
+    **backend_kwargs,
+) -> MelleaSession:
+```
+
+Session-scoped plugins passed via `plugins=[...]` are registered with this session's ID and deregistered at `session_cleanup`.
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `session_pre_init` | `start_session()`, before `backend_class(model_id, ...)` (~L163) | Before backend instantiation | Supports payload modification: updated `model_options`, `model_id`. Violation blocks session creation. |
+| `session_post_init` | `start_session()`, after `MelleaSession(backend, ctx)` (~L191) | Session fully created | Observability-only. |
+| `session_reset` | `MelleaSession.reset()`, before `self.ctx.reset_to_new()` (~L269) | Context about to reset | Observability-only. |
+| `session_cleanup` | `MelleaSession.cleanup()`, at top of method (~L272) | Before teardown | Observability-only. Must not raise. Deregisters session-scoped plugins. |
+
+**Sync/async bridge**: These are sync methods. Use `_run_async_in_thread(invoke_hook(...))` from `mellea/helpers/__init__.py`.
+
+**Payload examples**:
+
+```python
+# session_pre_init
+SessionPreInitPayload(
+    backend_name=backend_name,
+    model_id=str(model_id),
+    model_options=model_options,
+    context_type=type(ctx).__name__ if ctx else "SimpleContext",
+)
+
+# session_post_init
+SessionPostInitPayload(session=session)
+
+# session_cleanup
+SessionCleanupPayload(
+    context=self.ctx,
+    interaction_count=len(self.ctx.as_list()),
+)
+```
+
+### 5.2 Component Lifecycle
+
+**Files**: `mellea/stdlib/components/instruction.py` (`Instruction.__init__`), `mellea/stdlib/components/chat.py` (`Message.__init__`), `mellea/stdlib/functional.py` (`aact()`)
+
+> **`component_pre_create` and `component_post_create` are deferred.** These hooks are not implemented in this iteration. See the discussion note at the end of this section.
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `component_pre_create` | *(deferred — not implemented)* | — | — |
+| `component_post_create` | *(deferred — not implemented)* | — | — |
+| `component_pre_execute` | `aact()`, at top before strategy branch (~L492) | Before generation begins | Supports `model_options`, `requirements`, `strategy`, `format`, `tool_calls_enabled` modification. Violation blocks execution. |
+| `component_post_success` | `aact()`, after result in both branches (~L506, ~L534) | Successful execution | Observability-only. |
+| `component_post_error` | `aact()`, in new `try/except Exception` wrapping the body | Exception during execution | Observability-only. Always re-raises after hook. |
+
+**Key changes to `aact()`**:
+- Add `time.monotonic()` at entry for latency measurement
+- Wrap body (lines ~492–546) in `try/except Exception`
+- `except` handler: fire `component_post_error` then `error_occurred`, then re-raise
+- Insert `component_post_success` before each `return` path
+
+> **Discussion — why `component_pre_create` and `component_post_create` are deferred:**
+>
+> `Component` is currently a `Protocol`, not an abstract base class. Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations. Calling hooks manually inside `Instruction.__init__` and `Message.__init__` works for those classes, but it is fragile (any user-defined `Component` subclass is invisible) and requires per-class boilerplate.
+>
+> If `Component` were refactored to an abstract base class, the ABC could wrap `__init__` and fire these hooks generically for every subclass. Until that refactoring is decided, these hook types are excluded from the active hook system: they are not in `HookType`, have no payload classes, no registered call sites, and no tests. The hook names and payload designs remain documented here for when the refactoring occurs. Use `component_pre_execute` for pre-execution interception in the meantime.
+
+**Sync/async bridge for PRE/POST_CREATE** *(relevant if/when these hooks are implemented)*: `Instruction.__init__` and `Message.__init__` are synchronous. Use `_run_async_in_thread(invoke_hook(...))` from `mellea/helpers/__init__.py`. `backend` and `context` are `None`.
+
+**Payload examples**:
+
+```python
+# component_pre_create (Instruction case — inside Instruction.__init__, before attrs)
+ComponentPreCreatePayload(
+    component_type="Instruction",
+    description=description,
+    images=images,
+    requirements=requirements,
+    icl_examples=icl_examples,
+    grounding_context=grounding_context,
+    user_variables=user_variables,
+    prefix=prefix,
+)
+
+# component_pre_execute
+ComponentPreExecutePayload(
+    component_type=type(action).__name__,
+    action=action,
+    context=context,
+    requirements=requirements or [],
+    model_options=model_options or {},
+    format=format,
+    strategy_name=type(strategy).__name__ if strategy else None,
+    tool_calls_enabled=tool_calls,
+)
+
+# component_post_success
+ComponentPostSuccessPayload(
+    component_type=type(action).__name__,
+    action=action,
+    result=result,
+    context_before=context,
+    context_after=new_ctx,
+    generate_log=result._generate_log,
+    sampling_results=sampling_result if strategy else None,
+    latency_ms=int((time.monotonic() - t0) * 1000),
+)
+```
+
+### 5.3 Generation Pipeline
+
+**Approach**: `Backend.__init_subclass__` in `mellea/core/backend.py` automatically wraps `generate_from_context` in every concrete backend subclass that defines it. This avoids modifying all backend implementations (Ollama, OpenAI, HuggingFace, vLLM, Watsonx, LiteLLM) individually. No separate `generate_from_context_with_hooks()` method is added.
+
+The wrapper is injected at class definition time and applies to all current and future `Backend` subclasses transparently.
+
+**`generation_post_call` timing**: The post-call hook fires via an `_on_computed` callback set on the returned `ModelOutputThunk`:
+
+- **Lazy MOTs** (normal path): `_on_computed` fires inside `ModelOutputThunk.astream` after `post_process` completes, when the value is fully materialized. `latency_ms` reflects the full wall-clock time from the `generate_from_context` call to value availability. `model_output` replacement is supported — the original MOT's output fields are updated in-place via `_copy_from`.
+- **Already-computed MOTs** (e.g. cached responses or test mocks): `astream` returns early without firing `_on_computed`, so the hook is fired inline before the wrapper returns. `model_output` replacement is supported on this path.
+
+**Writable fields applied from `generation_pre_call`**: `model_options`, `format`, `tool_calls`.
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `generation_pre_call` | `Backend.__init_subclass__` wrapper, before `generate_from_context` delegate | Before LLM API call | Supports `model_options`, `format`, `tool_calls` modification. Violation blocks (e.g., token budget exceeded). |
+| `generation_post_call` | Via `_on_computed` callback on `ModelOutputThunk` (lazy path), or inline before return (already-computed path) | After output fully materialized | Observability-only. |
+| `generation_stream_chunk` | **Deferred** — requires hooks in `ModelOutputThunk.astream()` streaming path | Per streaming chunk | Fire-and-forget to avoid slowing streaming. |
+
+### 5.4 Validation
+
+**File**: `mellea/stdlib/functional.py`, in `avalidate()` (~L699–753)
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `validation_pre_check` | After `reqs` prepared (~L713), before validation loop | Before validation | Supports `requirements` list modification (inject/filter). |
+| `validation_post_check` | After all validations, before `return rvs` (~L753) | After validation | Supports `results` override. Primarily observability. |
+
+**Payload examples**:
+
+```python
+# validation_pre_check
+ValidationPreCheckPayload(
+    requirements=reqs,
+    target=output,
+    context=context,
+    model_options=model_options or {},
+)
+
+# validation_post_check
+ValidationPostCheckPayload(
+    requirements=reqs,
+    results=rvs,
+    all_validations_passed=all(bool(r) for r in rvs),
+    passed_count=sum(1 for r in rvs if bool(r)),
+    failed_count=sum(1 for r in rvs if not bool(r)),
+)
+```
+
+### 5.5 Sampling Pipeline
+
+**File**: `mellea/stdlib/sampling/base.py`, in `BaseSamplingStrategy.sample()` (~L94–256)
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `sampling_loop_start` | Before `for` loop (~L157) | Loop begins | Supports `loop_budget` modification. |
+| `sampling_iteration` | Inside loop, after validation (~L192) | Each iteration | Observability. Violation can force early termination. |
+| `sampling_repair` | After `self.repair()` call (~L224) | Repair invoked | Observability-only. |
+| `sampling_loop_end` | Before return in success (~L209) and failure (~L249) paths | Loop ends | Observability-only. |
+
+**Additional change**: Add `_get_repair_type() -> str` method to each sampling strategy subclass:
+
+| Strategy Class | Repair Type |
+|---|---|
+| `RejectionSamplingStrategy` | `"identity"` |
+| `RepairTemplateStrategy` | `"template_repair"` |
+| `MultiTurnStrategy` | `"multi_turn_message"` |
+| `SOFAISamplingStrategy` | `"sofai_feedback"` |
+
+**Payload examples**:
+
+```python
+# sampling_loop_start
+SamplingLoopStartPayload(
+    strategy_name=type(self).__name__,
+    action=action,
+    context=context,
+    requirements=reqs,
+    loop_budget=self.loop_budget,
+)
+
+# sampling_repair
+SamplingRepairPayload(
+    repair_type=self._get_repair_type(),
+    failed_action=sampled_actions[-1],
+    failed_result=sampled_results[-1],
+    failed_validations=sampled_scores[-1],
+    repair_action=next_action,
+    repair_context=next_context,
+    repair_iteration=loop_count,
+)
+```
+
+### 5.6 Tool Execution
+
+**File**: `mellea/stdlib/functional.py`, in the `_call_tools()` helper (~L904)
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `tool_pre_invoke` | Before `tool.call_func()` (~L917) | Before tool call | Supports `model_tool_call` replacement. Violation blocks tool call. |
+| `tool_post_invoke` | After `tool.call_func()` (~L919) | After tool call | Supports `tool_output` modification. Primarily observability. |
+
+### 5.7 Backend Adapter Operations
+
+**Files**: `mellea/backends/openai.py` (`load_adapter` ~L907, `unload_adapter` ~L944), `mellea/backends/huggingface.py` (`load_adapter` ~L1192, `unload_adapter` ~L1224)
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `adapter_pre_load` | Start of `load_adapter()` | Before adapter load | Violation prevents loading. |
+| `adapter_post_load` | End of `load_adapter()` | After adapter loaded | Observability. |
+| `adapter_pre_unload` | Start of `unload_adapter()` | Before adapter unload | Violation prevents unloading. |
+| `adapter_post_unload` | End of `unload_adapter()` | After adapter unloaded | Observability. |
+
+**Sync/async bridge**: Adapter methods are synchronous. Use `_run_async_in_thread(invoke_hook(...))`.
+
+### 5.8 Context Operations
+
+**Files**: `mellea/stdlib/context.py` (`ChatContext.add()` ~L17, `SimpleContext.add()` ~L31)
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `context_update` | After `from_previous()` in `add()` | Context appended | Observability-only (context is immutable). |
+| `context_prune` | `ChatContext.view_for_generation()` when window truncates | Context windowed | Observability-only. |
+
+**Performance note**: `context_update` fires on every context addition, which is frequent. The `has_hooks_for()` guard is critical — when no plugin subscribes to `context_update`, the overhead is a single boolean check.
+
+### 5.9 Error Handling
+
+**File**: `mellea/stdlib/functional.py` (utility function callable from any error path)
+
+| Hook | Location | Trigger | Result Handling |
+|------|----------|---------|-----------------|
+| `error_occurred` | `aact()` except block + utility `fire_error_hook()` | Unrecoverable error | Observability-only. Must never raise from own execution. |
+
+**Fires for**: `ComponentParseError`, backend communication errors, assertion violations, unhandled exceptions during component execution, validation, or tool invocation.
+
+**Does NOT fire for**: Validation failures within sampling loops (handled by `sampling_iteration`/`sampling_repair`), controlled `PluginViolation` blocks (those are policy decisions, not errors).
+
+**Utility function**:
+
+```python
+async def fire_error_hook(
+    error: Exception,
+    location: str,
+    *,
+    session=None, backend=None, context=None, action=None,
+) -> None:
+    """Fire the error_occurred hook. Never raises."""
+    try:
+        payload = ErrorOccurredPayload(
+            error=error,
+            error_type=type(error).__name__,
+            error_location=location,
+            stack_trace=traceback.format_exc(),
+            recoverable=False,
+            action=action,
+        )
+        await invoke_hook(
+            HookType.ERROR_OCCURRED, payload,
+            session=session, backend=backend, context=context,
+            violations_as_exceptions=False,
+        )
+    except Exception:
+        pass  # Never propagate errors from error hook
+```
+
+
+## 8. Modifications Summary
+
+| File | Changes |
+|------|---------|
+| `mellea/stdlib/components/instruction.py` | `COMPONENT_PRE_CREATE` (before attr assignment) and `COMPONENT_POST_CREATE` (after attr assignment) hooks in `Instruction.__init__` |
+| `mellea/stdlib/components/chat.py` | Same PRE/POST_CREATE hooks in `Message.__init__` |
+| `mellea/stdlib/functional.py` | Component execute/success/error hooks in `aact()`; validation and tool hooks |
+| `mellea/stdlib/session.py` | 4 session hooks + `plugins` param on `start_session()` + session-scoped plugin registration/deregistration |
+| `mellea/stdlib/sampling/base.py` | 4 sampling hooks |
+| `mellea/core/backend.py` | `Backend.__init_subclass__` wraps `generate_from_context` in all subclasses, injecting `GENERATION_PRE_CALL` and `GENERATION_POST_CALL` hooks; post-call hook fires via `_on_computed` callback on the returned `ModelOutputThunk` |
+| `mellea/stdlib/context.py` | 2 context operation hooks in `ChatContext.add()`, `SimpleContext.add()` |
+| `mellea/backends/openai.py` | 4 adapter hooks in `load_adapter()` / `unload_adapter()` |
+| `mellea/backends/huggingface.py` | 4 adapter hooks in `load_adapter()` / `unload_adapter()` |
+| `pyproject.toml` | Add `plugins` optional dependency + `plugins` test marker |
+| `mellea/plugins/__init__.py` (new) | Public API: `Plugin`, `hook`, `block`, `PluginSet`, `register`, `plugin_scope`, `PluginMode`, `HookType`, `PluginResult`, `PluginViolationError` |
+| `mellea/plugins/decorators.py` (new) | `@hook` decorator implementation, `HookMeta` |
+| `mellea/plugins/pluginset.py` (new) | `PluginSet` class with `flatten()` for recursive expansion; context manager protocol for with-block scoping |
+| `mellea/plugins/registry.py` (new) | `register()`, `block()`, `_FunctionHookAdapter`, `_ClassPluginAdapter`, `_register_single()`; `_PluginScope` class and `plugin_scope()` factory for with-block scoping |
+| `mellea/plugins/manager.py` (new) | Singleton wrapper, `invoke_hook()` with session-tag filtering, `ensure_plugin_manager()`; `deregister_session_plugins()` for scope cleanup (used by both session and with-block exit) |
+| `mellea/plugins/base.py` (new) | `Plugin` base class (lightweight, no cpex dep) with `__init_subclass__` and context manager protocol; `PluginMeta`; `MelleaBasePayload` (frozen); `MelleaPlugin` (advanced cpex-based class); `PluginViolationError` |
+| `mellea/plugins/types.py` (new) | `HookType` enum, `PluginMode` enum, `register_mellea_hooks()` |
+| `mellea/plugins/policies.py` (new) | `MELLEA_HOOK_PAYLOAD_POLICIES` table, injected into `PluginManager` at init |
+| `mellea/plugins/context.py` (new) | `build_global_context()` factory |
+| `mellea/plugins/hooks/` (new) | Hook payload dataclasses (session, component, generation, etc.) |
+| `test/plugins/` (new) | Tests for plugins subpackage |
+
+> Note: + update docs and add examples.
diff --git a/docs/docs/core-concept/plugins.mdx b/docs/docs/core-concept/plugins.mdx
new file mode 100644
index 000000000..a7543624e
--- /dev/null
+++ b/docs/docs/core-concept/plugins.mdx
@@ -0,0 +1,970 @@
+---
+title: "Plugins & Hooks"
+description: "Intercept and customize Mellea's execution pipeline with plugins — enforce policies, add observability, and transform payloads at well-defined hook points."
+sidebarTitle: "Plugins & Hooks"
+---
+
+## Overview — What Are Plugins?
+
+Plugins let you intercept and modify Mellea's execution at well-defined points without changing library code. Whether you need to enforce token budgets, redact PII, log every generation call, or block unsafe tool invocations, plugins give you fine-grained control over the entire pipeline.
+
+When an event fires during Mellea's execution (e.g., "about to call the LLM" or "tool invocation requested"), the plugin system:
+
+1. **Dispatches a typed payload** describing the event to all registered plugins
+2. **Runs plugins in priority order**, grouped by execution mode
+3. **Returns a result** — continue unchanged, continue with a modified payload, or block execution entirely
+
+Plugins are organized into six hook categories:
+
+- **Session Lifecycle** — session init, reset, and cleanup (`session_pre_init`, `session_post_init`, `session_reset`, `session_cleanup`)
+- **Component Lifecycle** — before and after component execution (`component_pre_execute`, `component_post_success`, `component_post_error`)
+- **Generation Pipeline** — before and after LLM calls (`generation_pre_call`, `generation_post_call`)
+- **Validation** — before and after requirement checks (`validation_pre_check`, `validation_post_check`)
+- **Sampling Pipeline** — sampling loop events (`sampling_loop_start`, `sampling_iteration`, `sampling_repair`, `sampling_loop_end`)
+- **Tool Execution** — before and after tool invocations (`tool_pre_invoke`, `tool_post_invoke`)
+
+<Note>
+Plugins require the hooks extra: `pip install 'mellea[hooks]'`
+</Note>
+
+---
+
+## Quick Start — Your First Plugin in 5 Minutes
+
+Here is a complete, working plugin in under 20 lines of user code. It logs a one-line summary before every LLM call.
+
+```python
+## file: https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/quickstart.py
+import logging
+
+from mellea import start_session
+from mellea.plugins import HookType, hook, register
+
+log = logging.getLogger("quickstart")
+
+@hook(HookType.GENERATION_PRE_CALL)
+async def log_generation(payload, ctx):
+    """Log a one-line summary before every LLM call."""
+    action_preview = str(payload.action)[:80].replace("\n", " ")
+    log.info("[log_generation] About to call LLM: %r", action_preview)
+
+register(log_generation)
+
+with start_session() as m:
+    result = m.instruct("What is the capital of France?")
+    log.info("Result: %s", result)
+```
+
+Every hook function receives two arguments:
+
+- **`payload`** — A frozen, typed object containing all the data relevant to this hook point. You can read any field but cannot mutate it directly.
+- **`ctx`** — Read-only context with session metadata (backend name, model ID, etc.).
+
+A hook returns either `None` (continue unchanged) or a `PluginResult` (to modify the payload or block execution). The quickstart hook returns `None` implicitly, as it observes without interfering.
+
+See the [full example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/quickstart.py).
+
+---
+
+## Standalone Function Hooks
+
+The `@hook` decorator turns any async function into a plugin. This is the simplest and most common way to extend Mellea.
+
+### Anatomy of a Hook Function
+
+```python
+from mellea.plugins import HookType, PluginMode, hook
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def my_hook(payload, ctx):
+    # payload: frozen, typed — read any field
+    # ctx: read-only metadata (backend, model_id, etc.)
+    # return None to pass through, or a PluginResult to modify/block
+    pass
+```
+
+- **`hook_type`** — Which event to listen for (e.g., `HookType.GENERATION_PRE_CALL`).
+- **`mode`** — How the hook executes. Default: `PluginMode.SEQUENTIAL`. See [Execution Modes Deep Dive](#execution-modes-deep-dive).
+- **`priority`** — Lower numbers run first. Default: `50`.
+
+### Execution Modes at a Glance
+
+| Mode | Serial/Parallel | Can Block | Can Modify | Errors Propagated |
+|------|:-:|:-:|:-:|:-:|
+| `SEQUENTIAL` | Serial | Yes | Yes | Yes |
+| `TRANSFORM` | Serial | No | Yes | Yes |
+| `AUDIT` | Serial | No | No | Yes |
+| `CONCURRENT` | Parallel | Yes | No | Yes |
+| `FIRE_AND_FORGET` | Background | No | No | No |
+
+### Blocking Execution
+
+Use `block()` to reject an operation. The caller receives a `PluginViolationError`.
+
+```python
+from mellea.plugins import HookType, PluginMode, block, hook
+
+TOKEN_BUDGET = 4000
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_token_budget(payload, ctx):
+    estimated = estimate_tokens(payload)
+    if estimated > TOKEN_BUDGET:
+        return block(
+            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
+            code="TOKEN_BUDGET_001",
+            details={"estimated": estimated, "budget": TOKEN_BUDGET},
+        )
+```
+
+`block()` accepts:
+- **`reason`** (required) — Human-readable explanation.
+- **`code`** — Machine-readable error code for programmatic handling.
+- **`details`** — A dict with additional structured data.
+
+The caller catches the violation as a `PluginViolationError` with `.reason`, `.code`, `.hook_type`, and `.plugin_name` attributes.
+
+### Modifying Payloads
+
+Payloads are frozen Pydantic models. Direct mutation raises `FrozenModelError`. Instead, use the `modify()` helper:
+
+```python
+from mellea.plugins import HookType, PluginMode, hook, modify
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def cap_max_tokens(payload, ctx):
+    opts = dict(payload.model_options or {})
+    if opts.get("max_tokens", float("inf")) > 256:
+        opts["max_tokens"] = 256
+        return modify(payload, model_options=opts)
+```
+
+For more control, use `model_copy(update={...})` directly and return a `PluginResult`:
+
+```python
+from mellea.plugins import PluginResult
+
+modified = payload.model_copy(update={"model_options": {**payload.model_options, "max_tokens": 256}})
+return PluginResult(continue_processing=True, modified_payload=modified)
+```
+
+### Payload Policies
+
+Each hook type declares which fields are writable. Changes to non-writable fields are **silently discarded** by the framework. For example, `generation_pre_call` allows modifying `model_options`, `format`, and `tool_calls`, but not `action` or `context`. This ensures plugins cannot make changes the framework hasn't sanctioned.
+
+See the [full policy table](#hook-payload-policy-table) in the Hook Types Reference.
+
+See the [standalone hooks example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/standalone_hooks.py) and the [payload modification example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/payload_modification.py).
+
+---
+
+## Class-Based Plugins
+
+When you need shared state across multiple hooks (e.g., a redaction counter, a rate limiter's token bucket), group them in a `Plugin` subclass.
+
+### When to Use a Class vs. Standalone Functions
+
+- **Standalone functions** — Best for single-concern hooks that don't share state.
+- **Class-based plugins** — Best when multiple hooks operate on a shared concern and need access to the same instance state.
+
+### Defining a Plugin
+
+```python
+from mellea.plugins import Plugin, hook, modify, HookType
+
+class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+    def __init__(self, patterns=None):
+        self.patterns = patterns or [r"\d{3}-\d{2}-\d{4}"]
+        self.redaction_count = 0
+
+    @hook(HookType.COMPONENT_PRE_EXECUTE)
+    async def redact_input(self, payload, ctx):
+        """Scan input for PII and redact before it reaches the LLM."""
+        # self.patterns, self.redaction_count available here
+        ...
+
+    @hook(HookType.GENERATION_POST_CALL)
+    async def redact_output(self, payload, ctx):
+        """Scan LLM output for PII and redact before returning."""
+        ...
+```
+
+Key syntax:
+- Inherit from `Plugin` and set `name` and `priority` as class keyword arguments.
+- Decorate methods with `@hook(HookType.XXX)`. The `self` parameter gives access to shared state.
+- The class `priority` is the default for all methods. Override per-method with `@hook(HookType.XXX, priority=M)`.
+
+### Priority Resolution
+
+Priority is resolved in this order (highest precedence first):
+
+1. **`PluginSet(priority=N)`** override — applies to all items in the set
+2. **`@hook(priority=M)`** on the method — overrides the class default
+3. **`Plugin(priority=N)`** class keyword — default for all methods
+4. **`50`** — the global default if nothing else is set
+
+### Registering a Plugin
+
+```python
+from mellea.plugins import register
+
+redactor = PIIRedactor()
+register(redactor)
+```
+
+See the [full PII redaction example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/class_plugin.py).
+
+---
+
+## Registration & Scoping
+
+Plugins can be activated at three levels. Each level determines when hooks fire and when they are cleaned up.
+
+### Global Scope
+
+Register at module level, fires for every session and every functional API call.
+
+```python
+from mellea.plugins import register
+
+register(log_generation)          # single hook
+register([hook_a, hook_b])        # multiple hooks
+register(redactor)                # Plugin instance
+register(observability_set)       # PluginSet
+```
+
+Remove with `unregister()`:
+
+```python
+from mellea.plugins import unregister
+
+unregister(log_generation)
+```
+
+### Session Scope
+
+Pass plugins to `start_session()`, fires only within that session.
+
+```python
+from mellea import start_session
+
+with start_session(plugins=[enforce_content_policy, log_component]) as m:
+    result = m.instruct("Explain photosynthesis.")
+# plugins deregistered when session exits
+```
+
+### With-Block Scope
+
+Activate plugins for a specific block of code with guaranteed cleanup.
+
+**`plugin_scope()`:**
+
+```python
+from mellea.plugins import plugin_scope
+
+with plugin_scope(log_request, log_response, content_guard):
+    result = m.instruct("Name the planets.")
+# all three deregistered here
+```
+
+**`Plugin` instance as context manager:**
+
+```python
+guard = ContentGuard()
+with guard:
+    result = m.instruct("What is the boiling point of water?")
+# guard deregistered here
+```
+
+**`PluginSet` as context manager:**
+
+```python
+with observability:
+    result = m.instruct("What is the capital of France?")
+# observability hooks deregistered here
+```
+
+All three forms support `async with` for async code:
+
+```python
+async with plugin_scope(log_request, ContentGuard()):
+    result = await m.ainstruct("Describe the solar system.")
+```
+
+### Nesting
+
+Scopes stack cleanly. Each exit deregisters only its own plugins.
+
+```python
+with plugin_scope(log_request):               # outer scope
+    with ContentGuard() as guard:             # inner scope
+        result = m.instruct("...")            # log_request + guard active
+    result = m.instruct("...")                # only log_request active
+# no plugins active
+```
+
+### Cleanup Guarantee
+
+Plugins are always deregistered on scope exit, even if the block raises an exception. There is no resource leak on error.
+
+### Re-Entrant Restriction
+
+The same instance cannot be active in two overlapping scopes. Create separate instances if you need parallel or nested activation:
+
+```python
+guard1 = ContentGuard()
+guard2 = ContentGuard()  # separate instance
+
+with guard1:
+    with guard2:  # OK — different instances
+        ...
+```
+
+See the [scoped plugins example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/plugin_scoped.py) and the [session-scoped example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/session_scoped.py).
+
+---
+
+## PluginSets — Composing Plugins
+
+A `PluginSet` groups related hooks and plugins into a reusable, named bundle. Use it to organize plugins by concern (security, observability, compliance) and register or scope them as a unit.
+
+### Creating a PluginSet
+
+```python
+from mellea.plugins import PluginSet
+
+security = PluginSet("security", [enforce_token_budget, enforce_description_length])
+observability = PluginSet("observability", [trace_session, trace_component, trace_cleanup])
+```
+
+A `PluginSet` accepts any mix of standalone `@hook` functions, `Plugin` instances, or nested `PluginSet`s.
+
+### Registering
+
+```python
+# Global
+register(observability)
+
+# Session-scoped
+with start_session(plugins=[security]) as m:
+    ...
+
+# With-block
+with security:
+    ...
+```
+
+### Priority Override
+
+`PluginSet(priority=N)` overrides the priority of all contained items, including nested sets:
+
+```python
+# All items in this set run at priority 1, regardless of their own priority settings
+critical = PluginSet("critical", [hook_a, hook_b, nested_set], priority=1)
+```
+
+### Real-World Pattern
+
+Register observability globally (fires everywhere) and security per-session (fires only where needed):
+
+```python
+register(observability)  # global
+
+with start_session(plugins=[security]) as m:
+    # both security and observability active
+    result = m.instruct("Name three prime numbers.")
+
+with start_session() as m:
+    # only observability active
+    result = m.instruct("What is 2 + 2?")
+```
+
+See the [full PluginSet composition example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/plugin_set_composition.py).
+
+---
+
+## Hook Types Reference
+
+This section is a comprehensive reference for every implemented hook type. For each hook, you'll find when it fires, what payload fields are available, which fields are writable, and typical use cases.
+
+### Session Lifecycle
+
+#### `session_pre_init`
+
+**Fires:** Immediately when `start_session()` is called, before backend initialization.
+
+**Payload fields:** `backend_name`, `model_id`, `model_options`, `context_type`
+
+**Writable fields:** `model_id`, `model_options`
+
+**Use cases:**
+- Enforcing model usage restrictions
+- Injecting default model options
+
+```python
+@hook(HookType.SESSION_PRE_INIT)
+async def enforce_model_policy(payload, ctx):
+    if "gpt-4" in str(payload.model_id):
+        return block("GPT-4 usage not permitted", code="MODEL_POLICY")
+```
+
+#### `session_post_init`
+
+**Fires:** After the session is fully initialized, before any operations.
+
+**Payload fields:** `session` (the `MelleaSession` instance)
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Initializing telemetry for the session
+- Logging session configuration
+
+#### `session_reset`
+
+**Fires:** When `session.reset()` is called to clear context.
+
+**Payload fields:** `previous_context`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Preserving audit trails before reset
+- Resetting plugin-specific state
+
+#### `session_cleanup`
+
+**Fires:** When the session closes (via `close()`, `cleanup()`, or context manager exit).
+
+**Payload fields:** `context`, `interaction_count`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Flushing telemetry buffers
+- Aggregating session metrics
+
+---
+
+### Component Lifecycle
+
+#### `component_pre_execute`
+
+**Fires:** Before any component is executed via `aact()`. This is the primary interception point for all generation requests.
+
+**Payload fields:** `component_type`, `action`, `context_view`, `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled`
+
+**Writable fields:** `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled`
+
+**Use cases:**
+- Policy enforcement on generation requests
+- Injecting or modifying model options
+- Content filtering and authorization checks
+- Routing to different sampling strategies
+
+```python
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=5)
+async def enforce_content_policy(payload, ctx):
+    desc = str(payload.action._description).lower()
+    if "financial advice" in desc:
+        return block("Restricted topic", code="CONTENT_001")
+```
+
+#### `component_post_success`
+
+**Fires:** After successful component execution.
+
+**Payload fields:** `component_type`, `action`, `result`, `context_before`, `context_after`, `generate_log`, `sampling_results`, `latency_ms`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Latency and metrics collection
+- Audit logging
+
+```python
+@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
+async def log_latency(payload, ctx):
+    log.info("component=%s latency=%dms", payload.component_type, payload.latency_ms)
+```
+
+#### `component_post_error`
+
+**Fires:** When component execution fails with an exception.
+
+**Payload fields:** `component_type`, `action`, `error`, `error_type`, `stack_trace`, `context`, `model_options`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Error logging and alerting
+- Failure analysis
+
+---
+
+### Generation Pipeline
+
+#### `generation_pre_call`
+
+**Fires:** Just before the backend transmits data to the LLM API.
+
+**Payload fields:** `action`, `context`, `model_options`, `format`, `tool_calls`
+
+**Writable fields:** `model_options`, `format`, `tool_calls`
+
+**Use cases:**
+- Token budget enforcement
+- Prompt injection detection
+- Last-mile model option adjustments
+
+```python
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def cap_tokens(payload, ctx):
+    opts = dict(payload.model_options or {})
+    opts["max_tokens"] = min(opts.get("max_tokens", 4096), 256)
+    return modify(payload, model_options=opts)
+```
+
+#### `generation_post_call`
+
+**Fires:** After the LLM response is fully materialized (`model_output.value` is available).
+
+**Payload fields:** `prompt`, `model_output`, `latency_ms`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Output logging and inspection
+- Response caching
+- Quality metrics and hallucination detection
+
+---
+
+### Validation
+
+#### `validation_pre_check`
+
+**Fires:** Before running requirement validation.
+
+**Payload fields:** `requirements`, `target`, `context`, `model_options`
+
+**Writable fields:** `requirements`, `model_options`
+
+**Use cases:**
+- Injecting additional requirements
+- Overriding validation model options
+
+#### `validation_post_check`
+
+**Fires:** After all validations complete.
+
+**Payload fields:** `requirements`, `results`, `all_validations_passed`, `passed_count`, `failed_count`, `generate_logs`
+
+**Writable fields:** `results`, `all_validations_passed`
+
+**Use cases:**
+- Logging validation outcomes
+- Overriding validation results
+- Triggering alerts on failures
+
+---
+
+### Sampling Pipeline
+
+#### `sampling_loop_start`
+
+**Fires:** When a sampling strategy begins execution.
+
+**Payload fields:** `strategy_name`, `action`, `context`, `requirements`, `loop_budget`
+
+**Writable fields:** `loop_budget`
+
+**Use cases:**
+- Dynamically adjusting the iteration budget
+- Logging sampling configuration
+
+#### `sampling_iteration`
+
+**Fires:** After each sampling attempt.
+
+**Payload fields:** `iteration`, `action`, `result`, `validation_results`, `all_validations_passed`, `valid_count`, `total_count`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Iteration-level metrics
+- Debugging sampling behavior
+
+#### `sampling_repair`
+
+**Fires:** When repair is invoked after a validation failure.
+
+**Payload fields:** `repair_type`, `failed_action`, `failed_result`, `failed_validations`, `repair_action`, `repair_context`, `repair_iteration`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Analyzing failure patterns
+- Logging repair events
+
+#### `sampling_loop_end`
+
+**Fires:** When sampling completes (success or failure).
+
+**Payload fields:** `success`, `iterations_used`, `final_result`, `final_action`, `final_context`, `failure_reason`, `all_results`, `all_validations`
+
+**Writable fields:** *(observe-only)*
+
+**Use cases:**
+- Sampling effectiveness metrics
+- Cost tracking
+
+---
+
+### Tool Execution
+
+#### `tool_pre_invoke`
+
+**Fires:** Before invoking a tool from LLM output.
+
+**Payload fields:** `model_tool_call` (contains `name`, `args`, `callable`)
+
+**Writable fields:** `model_tool_call`
+
+**Use cases:**
+- Tool authorization (allow-listing)
+- Argument validation and sanitization
+
+```python
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
+async def enforce_tool_allowlist(payload, ctx):
+    if payload.model_tool_call.name not in ALLOWED_TOOLS:
+        return block(f"Tool '{payload.model_tool_call.name}' not permitted", code="TOOL_NOT_ALLOWED")
+```
+
+#### `tool_post_invoke`
+
+**Fires:** After tool execution completes.
+
+**Payload fields:** `model_tool_call`, `tool_output`, `tool_message`, `execution_time_ms`, `success`, `error`
+
+**Writable fields:** `tool_output`
+
+**Use cases:**
+- Audit logging of tool calls
+- Output transformation
+- Error handling
+
+---
+
+### Hook Payload Policy Table
+
+This table summarizes which fields are writable for each hook type. Changes to non-writable fields are silently discarded.
+
+| Hook Point | Writable Fields |
+|---|---|
+| `session_pre_init` | `model_id`, `model_options` |
+| `session_post_init` | *(observe-only)* |
+| `session_reset` | *(observe-only)* |
+| `session_cleanup` | *(observe-only)* |
+| `component_pre_execute` | `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled` |
+| `component_post_success` | *(observe-only)* |
+| `component_post_error` | *(observe-only)* |
+| `generation_pre_call` | `model_options`, `format`, `tool_calls` |
+| `generation_post_call` | *(observe-only)* |
+| `validation_pre_check` | `requirements`, `model_options` |
+| `validation_post_check` | `results`, `all_validations_passed` |
+| `sampling_loop_start` | `loop_budget` |
+| `sampling_iteration` | *(observe-only)* |
+| `sampling_repair` | *(observe-only)* |
+| `sampling_loop_end` | *(observe-only)* |
+| `tool_pre_invoke` | `model_tool_call` |
+| `tool_post_invoke` | `tool_output` |
+
+<Warning>
+Only `SEQUENTIAL` and `TRANSFORM` modes can modify payloads. `AUDIT`, `CONCURRENT`, and `FIRE_AND_FORGET` modes have their modifications silently discarded regardless of the policy table.
+</Warning>
+
+---
+
+## Execution Modes Deep Dive
+
+All hooks for a given hook type are sorted by priority, then dispatched in groups by execution mode. The execution order is always:
+
+**SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET**
+
+### SEQUENTIAL (default)
+
+Serial, chained execution. Each hook receives the payload from the prior hook. Can both **block** and **modify**. This is the default mode, use it when you need full control over the pipeline.
+
+```python
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_policy(payload, ctx):
+    # Can block:
+    if is_unsafe(payload):
+        return block("Unsafe content", code="UNSAFE")
+    # Can modify:
+    return modify(payload, model_options={"temperature": 0.1})
+```
+
+### TRANSFORM
+
+Serial, chained execution after all SEQUENTIAL hooks. Can **modify** but **cannot block** (`block()` calls are suppressed with a warning). Use for data transformation (PII redaction, prompt rewriting) where you want to guarantee the pipeline continues.
+
+```python
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.TRANSFORM, priority=20)
+async def enrich_options(payload, ctx):
+    opts = dict(payload.model_options or {})
+    opts.setdefault("temperature", 0.7)
+    return modify(payload, model_options=opts)
+```
+
+### AUDIT
+
+Awaited inline after TRANSFORM. Observe-only: payload modifications are **discarded** and violations are **logged but do not block**. Use for shadow policies, canary deployments, and gradual policy rollout.
+
+```python
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT, priority=30)
+async def shadow_policy(payload, ctx):
+    # This block() is logged but does NOT stop execution
+    return block("Would block in production", code="SHADOW_001")
+```
+
+### CONCURRENT
+
+Dispatched in parallel after AUDIT. Can **block** (fail-fast on first blocking result) but **cannot modify**; modifications are discarded to avoid non-deterministic last-writer-wins races. Use for independent validation checks that benefit from parallel execution.
+
+```python
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.CONCURRENT, priority=40)
+async def rate_limit_check(payload, ctx):
+    if await is_rate_limited(ctx):
+        return block("Rate limit exceeded", code="RATE_LIMIT")
+```
+
+### FIRE_AND_FORGET
+
+Dispatched via `asyncio.create_task()` after all other phases. Receives a copy-on-write snapshot of the payload. Cannot modify or block. Exceptions are logged but never propagated. Use for telemetry, async logging, and side-effects that must not slow down the pipeline.
+
+```python
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=50)
+async def send_telemetry(payload, ctx):
+    await telemetry_client.send({"component": payload.component_type})
+```
+
+<Note>
+The FIRE_AND_FORGET log output may appear after the main result is printed. This is expected behavior, as these hooks run in the background.
+</Note>
+
+### Chaining
+
+In `SEQUENTIAL` and `TRANSFORM` modes, when multiple plugins modify the same payload, modifications are composed. Plugin B sees the output of Plugin A (after policy filtering). This enables pipelines like:
+
+1. Plugin A caps `max_tokens` to 256
+2. Plugin B (seeing the capped value) adds a `temperature` default
+3. The final payload has both modifications applied
+
+### Error Handling
+
+- **`SEQUENTIAL`, `TRANSFORM`, `AUDIT`, `CONCURRENT`, `FIRE_AND_FORGET`** —  exceptions are logged and swallowed. They never affect the pipeline.
+- **`block()`** — this is intentional control flow, not an error. It raises a `PluginViolationError` to the caller.
+
+See the [execution modes example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/execution_modes.py).
+
+---
+
+## Tool Hooks — Securing Tool Calls
+
+The `tool_pre_invoke` and `tool_post_invoke` hooks give you fine-grained control over tool-call governance. See [Chapter 11 of the tutorial](/core-concept/interoperability) for tool calling basics.
+
+### Tool Allow-Listing
+
+Block any tool not on an explicit approved list:
+
+```python
+ALLOWED_TOOLS = frozenset({"get_weather", "calculator"})
+
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
+async def enforce_tool_allowlist(payload, ctx):
+    tool_name = payload.model_tool_call.name
+    if tool_name not in ALLOWED_TOOLS:
+        return block(f"Tool '{tool_name}' is not permitted", code="TOOL_NOT_ALLOWED")
+```
+
+### Argument Validation
+
+Inspect and reject unsafe arguments before invocation:
+
+```python
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=10)
+async def validate_calculator_args(payload, ctx):
+    if payload.model_tool_call.name == "calculator":
+        expr = payload.model_tool_call.args.get("expression", "")
+        if not set(expr).issubset(set("0123456789 +-*/(). ")):
+            return block("Unsafe calculator expression", code="UNSAFE_EXPRESSION")
+```
+
+### Argument Sanitization
+
+Auto-fix arguments instead of blocking (a repair pattern):
+
+```python
+import dataclasses
+from mellea.plugins import PluginResult
+
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=15)
+async def sanitize_args(payload, ctx):
+    mtc = payload.model_tool_call
+    if mtc.name == "get_weather":
+        location = mtc.args.get("location", "").strip().title()
+        if location != mtc.args.get("location"):
+            new_call = dataclasses.replace(mtc, args={**mtc.args, "location": location})
+            modified = payload.model_copy(update={"model_tool_call": new_call})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+```
+
+### Audit Logging
+
+Fire-and-forget logging of every tool call for audit trails:
+
+```python
+@hook(HookType.TOOL_POST_INVOKE, mode=PluginMode.FIRE_AND_FORGET)
+async def audit_tool_calls(payload, ctx):
+    status = "OK" if payload.success else "ERROR"
+    log.info("tool=%r status=%s latency=%dms", payload.model_tool_call.name, status, payload.execution_time_ms)
+```
+
+### Composing Tool Hooks
+
+Group tool security hooks into a `PluginSet` for clean per-session registration:
+
+```python
+tool_security = PluginSet("tool-security", [enforce_tool_allowlist, validate_calculator_args, audit_tool_calls])
+
+with start_session(plugins=[tool_security]) as m:
+    result = m.instruct("What's the weather in Boston?", tool_calls=True)
+```
+
+See the [full tool hooks example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/tool_hooks.py).
+
+---
+
+## Patterns & Best Practices
+
+### Observability Stack
+
+Combine session tracing, component latency, and generation logging, all using `FIRE_AND_FORGET` or `AUDIT` mode so they never slow down the pipeline:
+
+```python
+observability = PluginSet("observability", [
+    trace_session_start,     # AUDIT — session_post_init
+    trace_component_success, # AUDIT — component_post_success
+    trace_session_end,       # AUDIT — session_cleanup
+])
+register(observability)  # global — fires for all sessions
+```
+
+### Layered Security
+
+Stack enforcement across scopes:
+
+- **Global:** Token budget enforcement (`SEQUENTIAL`)
+- **Session-scoped:** Content policy for sensitive sessions
+- **With-block:** Feature flags for specific operations
+
+```python
+register(enforce_token_budget)  # global
+
+with start_session(plugins=[content_policy]) as m:
+    with plugin_scope(feature_flag_hook):
+        result = m.instruct("...")
+```
+
+### Input/Output Guardrails
+
+Block PII on input (`component_pre_execute`) and redact PII from output (`generation_post_call`) using a class-based plugin with shared state:
+
+```python
+class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+    @hook(HookType.COMPONENT_PRE_EXECUTE)
+    async def reject_pii_input(self, payload, ctx): ...
+
+    @hook(HookType.GENERATION_POST_CALL)
+    async def redact_output(self, payload, ctx): ...
+```
+
+### Graceful Degradation with AUDIT Mode
+
+Deploy a new policy in `AUDIT` mode first, where violations are logged but do not block. Monitor the logs. When you're confident, promote to `SEQUENTIAL`:
+
+```python
+# Phase 1: shadow mode — log violations without blocking
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT)
+async def new_content_policy(payload, ctx):
+    if is_prohibited(payload):
+        return block("Would block", code="NEW_POLICY_001")
+
+# Phase 2: enforce — change mode to SEQUENTIAL when ready
+```
+
+### Testing Plugins
+
+You can unit-test hook functions without running a full Mellea session. Construct a payload mock, call the function directly, and assert the result:
+
+```python
+from unittest.mock import MagicMock
+
+async def test_blocks_long_description():
+    payload = MagicMock()
+    payload.action._description = "x" * 1000
+    ctx = MagicMock()
+
+    result = await enforce_description_length(payload, ctx)
+
+    assert result is not None
+    assert result.continue_processing is False
+    assert result.violation.code == "DESC_TOO_LONG"
+```
+
+See the [full testing example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/testing_plugins.py).
+
+### Idempotent Lifecycle Hooks
+
+If you use the advanced `MelleaPlugin` base class (which provides `initialize()` and `shutdown()` callbacks), make them idempotent, as they may be called once per `@hook` method on your plugin.
+
+---
+
+## API Reference
+
+All public symbols are available from a single import:
+
+```python
+from mellea.plugins import (
+    HookType,            # Enum of all hook types (e.g., GENERATION_PRE_CALL)
+    Plugin,              # Base class for class-based plugins
+    PluginMode,          # Execution mode enum (SEQUENTIAL, TRANSFORM, AUDIT, CONCURRENT, FIRE_AND_FORGET)
+    PluginResult,        # Return type for hooks that modify or block
+    PluginSet,           # Named group of hooks/plugins for composition
+    PluginViolationError,# Exception raised when a hook blocks execution
+    block,               # Helper to create a blocking PluginResult
+    hook,                # Decorator to register an async function as a hook handler
+    modify,              # Helper to create a modifying PluginResult
+    plugin_scope,        # Context manager for with-block scoped activation
+    register,            # Register hooks/plugins globally or per-session
+    unregister,          # Remove globally-registered hooks/plugins
+)
+```
+
+| Symbol | Description |
+|---|---|
+| `@hook(hook_type, *, mode, priority)` | Decorator that marks an async function as a hook handler |
+| `Plugin` | Base class for multi-hook plugins with shared state. Set `name` and `priority` via class keywords |
+| `PluginSet(name, items, *, priority)` | Groups hooks, plugins, and nested sets into a reusable bundle |
+| `register(items, *, session_id)` | Register hooks/plugins. `session_id=None` for global scope |
+| `unregister(items)` | Remove globally-registered items |
+| `plugin_scope(*items)` | Context manager that registers on enter, deregisters on exit |
+| `block(reason, *, code, details)` | Create a blocking `PluginResult` |
+| `modify(payload, **field_updates)` | Create a modifying `PluginResult` via `model_copy` |
+| `HookType` | Enum with all 17 hook types |
+| `PluginMode` | Enum: `SEQUENTIAL`, `TRANSFORM`, `AUDIT`, `CONCURRENT`, `FIRE_AND_FORGET` |
+| `PluginResult` | Typed result with `continue_processing`, `modified_payload`, and `violation` |
+| `PluginViolationError` | Exception with `.reason`, `.code`, `.hook_type`, `.plugin_name` |
diff --git a/docs/docs/docs.json b/docs/docs/docs.json
index 9ff7304e4..af18f3ef5 100644
--- a/docs/docs/docs.json
+++ b/docs/docs/docs.json
@@ -54,7 +54,8 @@
               "core-concept/tuning",
               "core-concept/adapters",
               "core-concept/alora",
-              "core-concept/interoperability"
+              "core-concept/interoperability",
+              "core-concept/plugins"
             ]
           }
         ]
diff --git a/docs/examples/plugins/__init__.py b/docs/examples/plugins/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/docs/examples/plugins/class_plugin.py b/docs/examples/plugins/class_plugin.py
new file mode 100644
index 000000000..6b359b810
--- /dev/null
+++ b/docs/examples/plugins/class_plugin.py
@@ -0,0 +1,128 @@
+# pytest: ollama, llm
+#
+# Class-based plugin — group related hooks in a single Plugin subclass.
+#
+# This example creates a PII protection plugin that:
+#   1. Blocks input containing SSN patterns before component execution
+#   2. Scans LLM output for SSN patterns after generation (observe-only)
+#
+# Run:
+#   uv run python docs/examples/plugins/class_plugin.py
+
+import logging
+import re
+import sys
+
+from mellea import start_session
+from mellea.plugins import HookType, Plugin, PluginViolationError, block, hook, register
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("class_plugin")
+
+
+class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+    """Redacts PII patterns from both input and output.
+
+    .. warning:: Shared mutable state
+        ``redaction_count`` is shared across all hook invocations.  This is
+        safe today because all hooks run on the same ``asyncio`` event loop,
+        but would require a lock or ``contextvars`` if hooks ever execute in
+        parallel threads.
+    """
+
+    def __init__(self, patterns: list[str] | None = None):
+        self.patterns = patterns or [
+            r"\d{3}-\d{2}-\d{4}",  # SSN
+            r"\b\d{16}\b",  # credit card (simplified)
+        ]
+        self.redaction_count = 0
+
+    @hook(HookType.COMPONENT_PRE_EXECUTE)
+    async def reject_pii_input(self, payload, ctx):
+        """Block component execution if the action contains PII patterns."""
+        if payload.component_type != "Instruction":
+            return
+        original = (
+            str(payload.action._description) if payload.action._description else ""
+        )
+        if self._contains_pii(original):
+            log.warning("[pii-redactor] PII detected in component action — blocking")
+            self.redaction_count += 1
+            return block(
+                "Input contains PII patterns that must be removed before processing",
+                code="PII_INPUT_DETECTED",
+            )
+        log.info("[pii-redactor] no PII found in input")
+
+    @hook(HookType.GENERATION_POST_CALL)
+    async def scan_output(self, payload, ctx):
+        """Scan LLM output for PII and log a warning if detected.
+
+        ``generation_post_call`` is observe-only — plugins cannot modify the
+        ``model_output``.  This hook therefore only inspects the output and
+        records a warning for downstream monitoring/alerting.
+        """
+        mot_value = getattr(payload.model_output, "value", None)
+        if mot_value is None:
+            log.info("[pii-redactor] output not yet computed — skipping output scan")
+            return
+        original = str(mot_value)
+        if self._contains_pii(original):
+            log.warning("[pii-redactor] PII detected in LLM output (observe-only)")
+            self.redaction_count += 1
+        else:
+            log.info("[pii-redactor] no PII found in output")
+
+    def _contains_pii(self, text: str) -> bool:
+        return any(re.search(p, text) for p in self.patterns)
+
+
+# Create an instance and register it globally
+redactor = PIIRedactor()
+register(redactor)
+
+if __name__ == "__main__":
+    log.info("--- Class-based Plugin example (PII Redactor) ---")
+    log.info("")
+
+    with start_session() as m:
+        log.info("Session started (id=%s)", m.id)
+        log.info("")
+
+        # Request 1: contains an SSN — the input hook blocks execution.
+        log.info("Request 1: input with PII (should be blocked)")
+        try:
+            m.instruct(
+                "Summarize this customer record: "
+                "Name: Jane Doe, SSN: 123-45-6789, Status: Active"
+            )
+        except PluginViolationError as e:
+            log.info(
+                "Blocked as expected on %s: [%s] %s", e.hook_type, e.code, e.reason
+            )
+        log.info("")
+
+        # Request 2: clean input — no PII, so it reaches the LLM.
+        # If the LLM output contains PII, scan_output logs a warning (observe-only).
+        log.info("Request 2: clean input (should succeed)")
+        try:
+            result = m.instruct("Name the three primary colors.")
+            log.info("Result: %s", result)
+        except PluginViolationError as e:
+            log.warning(
+                "Execution blocked on %s: [%s] %s (plugin=%s)",
+                e.hook_type,
+                e.code,
+                e.reason,
+                e.plugin_name,
+            )
+            sys.exit(1)
+
+        log.info("")
+        log.info("Total PII detections: %d", redactor.redaction_count)
diff --git a/docs/examples/plugins/execution_modes.py b/docs/examples/plugins/execution_modes.py
new file mode 100644
index 000000000..1e1040837
--- /dev/null
+++ b/docs/examples/plugins/execution_modes.py
@@ -0,0 +1,130 @@
+# pytest: ollama, llm
+#
+# Execution modes — all five PluginMode values side by side.
+#
+# This example registers five hooks on the same hook type
+# (COMPONENT_PRE_EXECUTE), each using a different execution mode.
+# It demonstrates:
+#
+#   1. SEQUENTIAL      — serial, can block + modify
+#   2. TRANSFORM       — serial, can modify only (blocks suppressed)
+#   3. AUDIT           — serial, observe-only (modifications discarded, blocks logged)
+#   4. CONCURRENT      — parallel, can block only (modifications discarded)
+#   5. FIRE_AND_FORGET — background, observe-only (result ignored)
+#
+# Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
+#
+# Run:
+#   uv run python docs/examples/plugins/execution_modes.py
+
+import logging
+
+from mellea import start_session
+from mellea.plugins import (
+    HookType,
+    PluginMode,
+    PluginViolationError,
+    block,
+    hook,
+    modify,
+    plugin_scope,
+)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("execution_modes")
+
+
+# --- Hook 1: SEQUENTIAL (priority=10) ---
+# Serial, chained execution. Can block the pipeline and modify writable
+# payload fields. Each hook receives the payload from the prior one.
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
+async def sequential_hook(payload, ctx):
+    """Sequential hook — can block + modify, runs inline in priority order."""
+    log.info("[SEQUENTIAL      p=10] component=%s", payload.component_type)
+
+
+# --- Hook 2: TRANSFORM (priority=20) ---
+# Serial, chained execution after all SEQUENTIAL hooks. Can modify writable
+# payload fields but CANNOT block — blocking results are suppressed with a
+# warning. Ideal for data transformation (PII redaction, prompt rewriting).
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.TRANSFORM, priority=20)
+async def transform_hook(payload, ctx):
+    """Transform hook — can modify but cannot block."""
+    log.info("[TRANSFORM       p=20] enriching model_options")
+    opts = dict(payload.model_options or {})
+    opts.setdefault("temperature", 0.7)
+    return modify(payload, model_options=opts)
+
+
+# --- Hook 3: AUDIT (priority=30) ---
+# Serial execution after TRANSFORM. Observe-only: payload modifications are
+# discarded and violations are logged but do NOT block. Use for monitoring,
+# metrics, and gradual policy rollout.
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT, priority=30)
+async def audit_hook(payload, ctx):
+    """Audit hook — observe-only; violations logged but not enforced."""
+    log.info("[AUDIT           p=30] would block, but audit mode only logs")
+    return block("Audit-mode violation: for monitoring only", code="AUDIT_001")
+
+
+# --- Hook 4: CONCURRENT (priority=40) ---
+# Dispatched in parallel after AUDIT. Can block the pipeline (fail-fast on
+# first blocking result) but payload modifications are discarded to avoid
+# non-deterministic last-writer-wins races.
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.CONCURRENT, priority=40)
+async def concurrent_hook(payload, ctx):
+    """Concurrent hook — can block but cannot modify, runs in parallel."""
+    log.info("[CONCURRENT      p=40] component=%s", payload.component_type)
+
+
+# --- Hook 5: FIRE_AND_FORGET (priority=50) ---
+# Dispatched via asyncio.create_task() after all other phases. Receives a
+# copy-on-write snapshot of the payload. Cannot modify payloads or block
+# execution. Any exceptions are logged but do not propagate.
+# The log line may appear *after* the main result is printed.
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=50)
+async def fire_and_forget_hook(payload, ctx):
+    """Fire-and-forget hook — runs in background, never blocks."""
+    log.info("[FIRE_AND_FORGET p=50] logging in the background")
+
+
+if __name__ == "__main__":
+    log.info("--- Execution modes example ---")
+    log.info("")
+
+    with start_session() as m:
+        with plugin_scope(
+            sequential_hook,
+            transform_hook,
+            audit_hook,
+            concurrent_hook,
+            fire_and_forget_hook,
+        ):
+            try:
+                result = m.instruct("Name the four seasons.")
+                log.info("")
+                log.info("Result: %s", result)
+            except PluginViolationError as e:
+                log.error("Blocked: %s", e)
+
+    log.info("")
+    log.info(
+        "Note: the FIRE_AND_FORGET log may have appeared after the result "
+        "— that is expected behavior."
+    )
diff --git a/docs/examples/plugins/payload_modification.py b/docs/examples/plugins/payload_modification.py
new file mode 100644
index 000000000..f0bb07b3f
--- /dev/null
+++ b/docs/examples/plugins/payload_modification.py
@@ -0,0 +1,106 @@
+# pytest: ollama, llm
+#
+# Payload modification — how to modify payloads in hooks.
+#
+# This example demonstrates:
+#   1. Using modify() to change writable payload fields
+#   2. Using model_copy(update={...}) directly for fine-grained control
+#   3. What happens when you try to modify a non-writable field (silently discarded)
+#
+# Run:
+#   uv run python docs/examples/plugins/payload_modification.py
+
+import logging
+
+from mellea import start_session
+from mellea.plugins import (
+    HookType,
+    PluginMode,
+    PluginResult,
+    hook,
+    modify,
+    plugin_scope,
+)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("payload_modification")
+
+
+# ---------------------------------------------------------------------------
+# Hook 1: Inject a max_tokens cap via modify() helper
+#
+# generation_pre_call writable fields include: model_options, format, tool_calls
+# ---------------------------------------------------------------------------
+
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def cap_max_tokens(payload, ctx):
+    """Cap max_tokens to 256 on every generation call."""
+    opts = dict(payload.model_options or {})
+    if opts.get("max_tokens", float("inf")) > 256:
+        log.info("[cap_max_tokens] capping max_tokens to 256")
+        opts["max_tokens"] = 256
+        return modify(payload, model_options=opts)
+    log.info("[cap_max_tokens] max_tokens already within cap")
+
+
+# ---------------------------------------------------------------------------
+# Hook 2: Inject default model options via modify()
+#
+# component_pre_execute writable fields include: requirements, model_options, ...
+# This shows model_copy(update={...}) for fine-grained control.
+# ---------------------------------------------------------------------------
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
+async def inject_default_options(payload, ctx):
+    """Ensure a default temperature is set on every component execution."""
+    opts = dict(payload.model_options or {})
+    if "temperature" not in opts:
+        log.info("[inject_default_options] setting default temperature=0.7")
+        opts["temperature"] = 0.7
+        return modify(payload, model_options=opts)
+    log.info("[inject_default_options] temperature already set")
+
+
+# ---------------------------------------------------------------------------
+# Hook 3: Attempt to modify a non-writable field (observe it is discarded)
+#
+# generation_pre_call does NOT include 'action' or 'context' as writable.
+# This hook tries to modify 'context' — the change will be silently discarded
+# by the payload policy enforcement, and the original context will be used.
+# ---------------------------------------------------------------------------
+
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=20)
+async def attempt_non_writable(payload, ctx):
+    """Try to modify a non-writable field — change will be silently discarded."""
+    log.info("[attempt_non_writable] attempting to modify 'hook' (non-writable)")
+    # This modification will be filtered out by the payload policy
+    modified = payload.model_copy(update={"hook": "tampered"})
+    return PluginResult(continue_processing=True, modified_payload=modified)
+
+
+if __name__ == "__main__":
+    log.info("--- Payload modification example ---")
+    log.info("")
+
+    with start_session() as m:
+        with plugin_scope(cap_max_tokens, inject_default_options, attempt_non_writable):
+            result = m.instruct(
+                "Summarize the benefits of open-source software in one sentence."
+            )
+            log.info("")
+            log.info("Result: %s", result)
+
+    log.info("")
+    log.info(
+        "Note: the 'hook' field modification in attempt_non_writable was silently "
+        "discarded by the payload policy — only writable fields are accepted."
+    )
diff --git a/docs/examples/plugins/plugin_scoped.py b/docs/examples/plugins/plugin_scoped.py
new file mode 100644
index 000000000..3be811666
--- /dev/null
+++ b/docs/examples/plugins/plugin_scoped.py
@@ -0,0 +1,191 @@
+# pytest: ollama, llm
+#
+# Scoped plugins — activate plugins for a specific block of code.
+#
+# Three forms of scoped activation are shown:
+#
+#   1. plugin_scope(*items)  — the universal scope; accepts standalone hooks,
+#                              Plugin instances, PluginSets, or any mix
+#   2. with <Plugin instance>  — Plugin subclass used directly as a context
+#                                manager (includes a blocked-topic scenario)
+#   3. with <PluginSet>        — a named group used directly as a context manager
+#
+# All three guarantee that the plugins are registered on __enter__ and
+# deregistered on __exit__, even if the block raises an exception.
+#
+# Run:
+#   uv run python docs/examples/plugins/plugin_scoped.py
+
+import logging
+
+from mellea import start_session
+from mellea.plugins import (
+    HookType,
+    Plugin,
+    PluginMode,
+    PluginSet,
+    PluginViolationError,
+    hook,
+    plugin_scope,
+)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("plugin_scoped")
+
+
+# ---------------------------------------------------------------------------
+# Reusable hook and plugin definitions
+# ---------------------------------------------------------------------------
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=10)
+async def log_request(payload, ctx):
+    """Log every component action before execution."""
+    desc = str(payload.action._description) if payload.action else ""
+    preview = desc[:60].replace("\n", " ")
+    log.info("[log_request] → %r", preview)
+
+
+@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.FIRE_AND_FORGET, priority=10)
+async def log_response(payload, ctx):
+    """Log latency after each successful generation."""
+    log.info(
+        "[log_response] ← %s completed in %dms",
+        payload.component_type,
+        payload.latency_ms,
+    )
+
+
+class ContentGuard(Plugin, name="content-guard", priority=5):
+    """Blocks instructions that mention restricted topics."""
+
+    BLOCKED = ["financial advice", "medical diagnosis"]
+
+    @hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=5)
+    async def check_description(self, payload, ctx):
+        desc = str(payload.action._description).lower() if payload.action else ""
+        for topic in self.BLOCKED:
+            if topic in desc:
+                log.info("[content-guard] BLOCKED: %r", topic)
+                from mellea.plugins import block
+
+                return block(f"Restricted topic: {topic}", code="CONTENT_001")
+        log.info("[content-guard] description is clean")
+
+
+observability = PluginSet("observability", [log_request, log_response])
+
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def run(session, prompt: str) -> str | None:
+    try:
+        result = session.instruct(prompt)
+        log.info("Result: %s\n", result)
+        return str(result)
+    except PluginViolationError as e:
+        log.warning(
+            "Blocked on %s: [%s] %s (plugin=%s)\n",
+            e.hook_type,
+            e.code,
+            e.reason,
+            e.plugin_name,
+        )
+        return None
+
+
+# ---------------------------------------------------------------------------
+# Main
+# ---------------------------------------------------------------------------
+
+if __name__ == "__main__":
+    with start_session() as m:
+        # -------------------------------------------------------------------
+        # 1. plugin_scope — the universal scoped activation
+        #    Accepts standalone @hook functions, Plugin instances, PluginSets,
+        #    or any mix.  Nothing fires outside the block.
+        # -------------------------------------------------------------------
+        log.info("=== 1. plugin_scope ===")
+
+        log.info("Before scope: no plugins active")
+        # (no hooks fire here)
+
+        with plugin_scope(log_request, log_response):
+            log.info("Inside plugin_scope: log_request + log_response active")
+            run(m, "Name the planets of the solar system.")
+
+        log.info("After plugin_scope: hooks deregistered")
+        log.info("")
+
+        # -------------------------------------------------------------------
+        # 2. Plugin instance as context manager
+        #    A single Plugin subclass instance can be entered directly.
+        # -------------------------------------------------------------------
+        log.info("=== 2. Plugin instance as context manager ===")
+
+        guard = ContentGuard()
+        with guard:
+            log.info("Inside with guard: ContentGuard active")
+            run(m, "What is the boiling point of water?")
+            # This prompt triggers the content guard — it contains a blocked topic.
+            run(m, "Give me financial advice on stocks.")
+
+        log.info("After with guard: ContentGuard deregistered")
+        log.info("")
+
+        # -------------------------------------------------------------------
+        # 3. PluginSet as context manager
+        #    A PluginSet groups related hooks and can be entered as a unit.
+        # -------------------------------------------------------------------
+        log.info("=== 3. PluginSet as context manager ===")
+
+        with observability:
+            log.info("Inside with observability: log_request + log_response active")
+            run(m, "What is the capital of France?")
+
+        log.info("After with observability: hooks deregistered")
+        log.info("")
+
+        # -------------------------------------------------------------------
+        # 4. Nesting and mixing forms
+        #    Scopes stack cleanly — each exit deregisters only its own plugins.
+        # -------------------------------------------------------------------
+        log.info("=== 4. Nested / mixed scopes ===")
+
+        guard2 = ContentGuard()
+        with plugin_scope(log_request):
+            log.info("Outer scope: log_request active")
+            with guard2:
+                log.info("Inner scope: log_request + ContentGuard active")
+                run(m, "Briefly explain what a compiler does.")
+            log.info("ContentGuard exited — only log_request remains")
+            run(m, "What is 12 times 12?")
+
+        log.info("All scopes exited: no plugins active")
+        log.info("")
+
+        # -------------------------------------------------------------------
+        # 5. Cleanup on exception
+        #    Plugins are always deregistered even if the block raises.
+        # -------------------------------------------------------------------
+        log.info("=== 5. Cleanup on exception ===")
+
+        guard3 = ContentGuard()
+        try:
+            with guard3:
+                log.info("ContentGuard active — raising intentionally")
+                raise RuntimeError("deliberate error")
+        except RuntimeError:
+            pass
+
+        log.info("ContentGuard deregistered despite exception")
+        run(m, "What color is the sky?")  # guard3 does not fire here
diff --git a/docs/examples/plugins/plugin_set_composition.py b/docs/examples/plugins/plugin_set_composition.py
new file mode 100644
index 000000000..75d734468
--- /dev/null
+++ b/docs/examples/plugins/plugin_set_composition.py
@@ -0,0 +1,155 @@
+# pytest: ollama, llm
+#
+# PluginSet composition — group hooks by concern and register them together.
+#
+# This example shows how to:
+#   1. Define hooks across different concerns (security, observability)
+#   2. Group them into PluginSets
+#   3. Register observability globally and security per-session
+#
+# Run:
+#   uv run python docs/examples/plugins/plugin_set_composition.py
+
+import logging
+import sys
+
+from mellea import start_session
+from mellea.plugins import (
+    HookType,
+    PluginMode,
+    PluginSet,
+    PluginViolationError,
+    block,
+    hook,
+    register,
+)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("plugin_set")
+
+
+# --- Security hooks ---
+
+TOKEN_BUDGET = 4000
+
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_token_budget(payload, ctx):
+    """Enforce a conservative token budget."""
+    # Rough token estimate: ~4 chars per token
+    prompt_chars = sum(
+        len(str(c.format_for_llm()))
+        for c in (payload.context.view_for_generation() or [])
+    ) + len(
+        str(
+            payload.action.format_for_llm()
+            if hasattr(payload.action, "format_for_llm")
+            else payload.action
+        )
+    )
+    estimated = prompt_chars // 4 or 0
+    log.info("[security/token-budget] estimated=%d budget=%d", estimated, TOKEN_BUDGET)
+    if estimated > TOKEN_BUDGET:
+        return block(
+            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
+            code="TOKEN_BUDGET_001",
+        )
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=20)
+async def enforce_description_length(payload, ctx):
+    """Reject component actions whose text representation is too long."""
+    max_len = 2000
+    action_text = str(payload.action._description) if payload.action else ""
+    if len(action_text) > max_len:
+        log.info("[security/desc-length] BLOCKED: action is %d chars", len(action_text))
+        return block(
+            f"Action text exceeds {max_len} characters", code="DESC_LENGTH_001"
+        )
+    log.info("[security/desc-length] action length OK (%d chars)", len(action_text))
+
+
+# --- Observability hooks ---
+
+
+@hook(HookType.SESSION_POST_INIT, mode=PluginMode.AUDIT)
+async def trace_session_start(payload, ctx):
+    """Trace session initialization."""
+    log.info(
+        "[observability/trace] session started (session_id=%s)", payload.session_id
+    )
+
+
+@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
+async def trace_component_success(payload, ctx):
+    """Trace successful component executions."""
+    log.info(
+        "[observability/trace] %s completed in %dms",
+        payload.component_type,
+        payload.latency_ms,
+    )
+
+
+@hook(HookType.SESSION_CLEANUP, mode=PluginMode.AUDIT)
+async def trace_session_end(payload, ctx):
+    """Trace session cleanup."""
+    log.info(
+        "[observability/trace] session cleanup (interactions=%d)",
+        payload.interaction_count,
+    )
+
+
+# --- Compose into PluginSets ---
+
+security = PluginSet("security", [enforce_token_budget, enforce_description_length])
+observability = PluginSet(
+    "observability", [trace_session_start, trace_component_success, trace_session_end]
+)
+
+
+if __name__ == "__main__":
+    log.info("--- PluginSet composition example ---")
+    log.info("")
+
+    # Register observability globally — fires for all sessions
+    register(observability)
+    log.info("Registered observability plugins globally")
+    log.info("")
+
+    # Session with security plugins (session-scoped) + global observability
+    log.info("=== Session with security + observability ===")
+    with start_session(plugins=[security]) as m:
+        try:
+            result = m.instruct("Name three prime numbers.")
+            log.info("Result: %s", result)
+        except PluginViolationError as e:
+            log.error(
+                "Execution blocked on %s: [%s] %s (plugin=%s)",
+                e.hook_type,
+                e.code,
+                e.reason,
+                e.plugin_name,
+            )
+            sys.exit(1)
+    log.info("")
+
+    log.info("=== Session with observability only ===")
+    with start_session() as m:
+        try:
+            result = m.instruct("What is 2 + 2?")
+            log.info("Result: %s", result)
+        except PluginViolationError as e:
+            log.warning(
+                "Execution blocked on %s: [%s] %s (plugin=%s)",
+                e.hook_type,
+                e.code,
+                e.reason,
+                e.plugin_name,
+            )
+            sys.exit(1)
diff --git a/docs/examples/plugins/quickstart.py b/docs/examples/plugins/quickstart.py
new file mode 100644
index 000000000..098370d27
--- /dev/null
+++ b/docs/examples/plugins/quickstart.py
@@ -0,0 +1,38 @@
+# pytest: ollama, llm
+#
+# Quick Start — your first Mellea plugin in under 30 lines.
+#
+# This example registers a single function hook that logs every generation
+# call, then runs a normal instruct() to show it in action.
+#
+# Run:
+#   uv run python docs/examples/plugins/quickstart.py
+
+import logging
+
+from mellea import start_session
+from mellea.plugins import HookType, hook, register
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("quickstart")
+
+
+@hook(HookType.GENERATION_PRE_CALL)
+async def log_generation(payload, ctx):
+    """Log a one-line summary before every LLM call."""
+    action_preview = str(payload.action)[:80].replace("\n", " ")
+    log.info("[log_generation] About to call LLM: %r", action_preview)
+
+
+register(log_generation)
+
+if __name__ == "__main__":
+    with start_session() as m:
+        result = m.instruct("What is the capital of France?")
+        log.info("Result: %s", result)
diff --git a/docs/examples/plugins/session_scoped.py b/docs/examples/plugins/session_scoped.py
new file mode 100644
index 000000000..c9be94c71
--- /dev/null
+++ b/docs/examples/plugins/session_scoped.py
@@ -0,0 +1,109 @@
+# pytest: ollama, llm
+#
+# Session-scoped plugins — plugins that fire only within a specific session.
+#
+# This example demonstrates:
+#   1. A global observability hook that fires for ALL sessions
+#   2. A session-scoped content policy that only fires for one session
+#   3. A second session without the content policy to show the difference
+#
+# Run:
+#   uv run python docs/examples/plugins/session_scoped.py
+
+import logging
+import sys
+
+from mellea import start_session
+from mellea.plugins import (
+    HookType,
+    PluginMode,
+    PluginViolationError,
+    block,
+    hook,
+    register,
+)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("session_scoped")
+
+
+# --- Global hook: fires for every session ---
+
+
+@hook(HookType.SESSION_POST_INIT, mode=PluginMode.AUDIT)
+async def log_session_init(payload, ctx):
+    """Log when any session is initialized."""
+    log.info("[global] session initialized (session_id=%s)", payload.session_id)
+
+
+register(log_session_init)
+
+
+# --- Session-scoped hooks: passed via start_session(plugins=...) ---
+
+BLOCKED_TOPICS = ["weaponry", "explosives"]
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_content_policy(payload, ctx):
+    """Block components whose action text mentions restricted topics."""
+    desc = str(payload.action._description).lower() if payload.action else ""
+    for topic in BLOCKED_TOPICS:
+        if topic in desc:
+            log.info("[content-policy] BLOCKED: topic '%s' found in action", topic)
+            return block(f"Restricted topic: {topic}", code="CONTENT_POLICY_001")
+    log.info("[content-policy] action is clean — allowing")
+
+
+@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
+async def log_component_result(payload, ctx):
+    """Log the result of each successful component execution."""
+    log.info(
+        "[session-logger] component=%s latency=%dms",
+        payload.component_type,
+        payload.latency_ms,
+    )
+
+
+if __name__ == "__main__":
+    log.info("--- Session-scoped plugins example ---")
+    log.info("")
+
+    # Session 1: has content policy + result logging (session-scoped)
+    log.info("=== Session 1 (with content policy) ===")
+    with start_session(plugins=[enforce_content_policy, log_component_result]) as m:
+        try:
+            result = m.instruct("Explain photosynthesis in one sentence.")
+            log.info("Result: %s", result)
+        except PluginViolationError as e:
+            log.error(
+                "Execution blocked on %s: [%s] %s (plugin=%s)",
+                e.hook_type,
+                e.code,
+                e.reason,
+                e.plugin_name,
+            )
+            sys.exit(1)
+    log.info("")
+
+    # Session 2: only global hooks fire (no content policy)
+    log.info("=== Session 2 (global hooks only, no content policy) ===")
+    with start_session() as m:
+        try:
+            result = m.instruct("What is the speed of light?")
+            log.info("Result: %s", result)
+        except PluginViolationError as e:
+            log.warning(
+                "Execution blocked on %s: [%s] %s (plugin=%s)",
+                e.hook_type,
+                e.code,
+                e.reason,
+                e.plugin_name,
+            )
+            sys.exit(1)
diff --git a/docs/examples/plugins/standalone_hooks.py b/docs/examples/plugins/standalone_hooks.py
new file mode 100644
index 000000000..5838ddfc3
--- /dev/null
+++ b/docs/examples/plugins/standalone_hooks.py
@@ -0,0 +1,97 @@
+# pytest: ollama, llm
+#
+# Standalone function hooks — the simplest way to extend Mellea.
+#
+# This example registers two function-based hooks:
+#   1. A generation_pre_call hook that logs and enforces a token budget
+#   2. A component_post_success hook that logs generation latency
+#
+# Run:
+#   uv run python docs/examples/plugins/standalone_hooks.py
+
+import logging
+import sys
+
+from mellea import start_session
+from mellea.plugins import (
+    HookType,
+    PluginMode,
+    PluginViolationError,
+    block,
+    hook,
+    register,
+)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("standalone_hooks")
+
+
+TOKEN_BUDGET = 4000
+
+
+@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_token_budget(payload, ctx):
+    """Block generation calls that exceed the token budget."""
+    # Rough token estimate: ~4 chars per token
+    prompt_chars = sum(
+        len(str(c.format_for_llm()))
+        for c in (payload.context.view_for_generation() or [])
+    ) + len(
+        str(
+            payload.action.format_for_llm()
+            if hasattr(payload.action, "format_for_llm")
+            else payload.action
+        )
+    )
+    estimated = prompt_chars // 4 or 0
+    log.info(
+        "[enforce_token_budget] estimated_tokens=%d, budget=%d", estimated, TOKEN_BUDGET
+    )
+    if estimated > TOKEN_BUDGET:
+        return block(
+            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
+            code="TOKEN_BUDGET_001",
+            details={"estimated": estimated, "budget": TOKEN_BUDGET},
+        )
+    log.info("[enforce_token_budget] within budget — allowing generation")
+
+
+@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT, priority=50)
+async def log_latency(payload, ctx):
+    """Log latency after each successful component execution."""
+    log.info(
+        "[log_latency] component=%s latency=%dms",
+        payload.component_type,
+        payload.latency_ms,
+    )
+
+
+# Register both hooks globally — they fire for every session
+register([enforce_token_budget, log_latency])
+
+if __name__ == "__main__":
+    log.info("--- Standalone function hooks example ---")
+
+    with start_session() as m:
+        log.info("Session started (id=%s)", m.id)
+        log.info("")
+
+        try:
+            result = m.instruct("What are the three laws of robotics? Be brief.")
+            log.info("")
+            log.info("Result: %s", result)
+        except PluginViolationError as e:
+            log.warning(
+                "Execution blocked on %s: [%s] %s (plugin=%s)",
+                e.hook_type,
+                e.code,
+                e.reason,
+                e.plugin_name,
+            )
+            sys.exit(1)
diff --git a/docs/examples/plugins/testing_plugins.py b/docs/examples/plugins/testing_plugins.py
new file mode 100644
index 000000000..2102a904d
--- /dev/null
+++ b/docs/examples/plugins/testing_plugins.py
@@ -0,0 +1,133 @@
+# Testing plugins — how to unit-test hook functions without a live session.
+#
+# This example shows how to:
+#   1. Construct a payload manually
+#   2. Call a hook function directly (await my_hook(payload, ctx))
+#   3. Assert the return value for both pass-through and blocking cases
+#
+# Run:
+#   uv run python docs/examples/plugins/testing_plugins.py
+
+import asyncio
+import logging
+from datetime import UTC, datetime, timezone
+from unittest.mock import MagicMock
+
+from mellea.plugins import HookType, PluginMode, block, hook
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+log = logging.getLogger("testing_plugins")
+
+
+# ---------------------------------------------------------------------------
+# The plugin under test
+# ---------------------------------------------------------------------------
+
+MAX_DESCRIPTION_LENGTH = 500
+
+
+@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
+async def enforce_description_length(payload, ctx):
+    """Block components whose action text exceeds the maximum length."""
+    action_text = str(payload.action._description) if payload.action else ""
+    if len(action_text) > MAX_DESCRIPTION_LENGTH:
+        return block(
+            f"Action text is {len(action_text)} chars, max is {MAX_DESCRIPTION_LENGTH}",
+            code="DESC_TOO_LONG",
+            details={"length": len(action_text), "max": MAX_DESCRIPTION_LENGTH},
+        )
+
+
+# ---------------------------------------------------------------------------
+# Test helpers
+# ---------------------------------------------------------------------------
+
+
+def make_payload(action_text: str):
+    """Construct a minimal ComponentPreExecutePayload for testing.
+
+    In a real test suite you would import the payload class directly:
+        from mellea.plugins.hooks.component import ComponentPreExecutePayload
+    Here we use a simple mock to keep the example dependency-free.
+    """
+    payload = MagicMock()
+    payload.action = MagicMock()
+    payload.action._description = action_text
+    payload.component_type = "Instruction"
+    payload.timestamp = datetime.now(UTC)
+    payload.hook = HookType.COMPONENT_PRE_EXECUTE.value
+    return payload
+
+
+def make_ctx():
+    """Construct a minimal PluginContext mock."""
+    return MagicMock()
+
+
+# ---------------------------------------------------------------------------
+# Test cases
+# ---------------------------------------------------------------------------
+
+
+async def test_pass_through():
+    """Short action text should pass through (return None)."""
+    payload = make_payload("What is 2 + 2?")
+    ctx = make_ctx()
+
+    result = await enforce_description_length(payload, ctx)
+
+    assert result is None, f"Expected None (pass-through), got {result}"
+    log.info("[PASS] test_pass_through: short text passes through")
+
+
+async def test_blocks_long_description():
+    """Long action text should be blocked."""
+    long_text = "x" * (MAX_DESCRIPTION_LENGTH + 100)
+    payload = make_payload(long_text)
+    ctx = make_ctx()
+
+    result = await enforce_description_length(payload, ctx)
+
+    assert result is not None, "Expected a blocking PluginResult, got None"
+    assert result.continue_processing is False, "Expected continue_processing=False"
+    assert result.violation is not None, "Expected a violation"
+    assert result.violation.code == "DESC_TOO_LONG"
+    log.info(
+        "[PASS] test_blocks_long_description: long text is blocked with code=%s",
+        result.violation.code,
+    )
+
+
+async def test_exact_boundary():
+    """Text at exactly the max length should pass through."""
+    boundary_text = "y" * MAX_DESCRIPTION_LENGTH
+    payload = make_payload(boundary_text)
+    ctx = make_ctx()
+
+    result = await enforce_description_length(payload, ctx)
+
+    assert result is None, f"Expected None at boundary, got {result}"
+    log.info("[PASS] test_exact_boundary: boundary-length text passes through")
+
+
+# ---------------------------------------------------------------------------
+# Run all tests
+# ---------------------------------------------------------------------------
+
+
+async def run_all():
+    await test_pass_through()
+    await test_blocks_long_description()
+    await test_exact_boundary()
+    log.info("")
+    log.info("All tests passed!")
+
+
+if __name__ == "__main__":
+    log.info("--- Testing plugins example ---")
+    log.info("")
+    asyncio.run(run_all())
diff --git a/docs/examples/plugins/tool_hooks.py b/docs/examples/plugins/tool_hooks.py
new file mode 100644
index 000000000..f97398e7e
--- /dev/null
+++ b/docs/examples/plugins/tool_hooks.py
@@ -0,0 +1,459 @@
+# pytest: ollama, llm
+#
+# Tool hook plugins — safety and security policies for tool invocation.
+#
+# This example demonstrates four enforcement / repair patterns using
+# TOOL_PRE_INVOKE and TOOL_POST_INVOKE hooks, built on top of the @tool
+# decorator examples:
+#
+#   1. Tool allow list     — blocks any tool not on an explicit approved list
+#   2. Argument validator  — inspects args before invocation (e.g., blocks
+#                            disallowed patterns in calculator expressions)
+#   3. Tool audit logger   — fire-and-forget logging of every tool call
+#   4. Arg sanitizer       — auto-fixes tool args before invocation instead of
+#                            blocking (e.g., strips unsafe chars from calculator
+#                            expressions and normalises location strings)
+#
+# Run:
+#   uv run python docs/examples/plugins/tool_hooks.py
+
+import dataclasses
+import logging
+
+from mellea import start_session
+from mellea.backends import ModelOption, tool
+from mellea.plugins import (
+    HookType,
+    PluginMode,
+    PluginResult,
+    PluginSet,
+    PluginViolationError,
+    block,
+    hook,
+)
+from mellea.stdlib.functional import _call_tools
+from mellea.stdlib.requirements import uses_tool
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
+    datefmt="%Y-%m-%dT%H:%M:%S",
+)
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("fancy_logger").setLevel(logging.ERROR)
+log = logging.getLogger("tool_hooks")
+
+
+# ---------------------------------------------------------------------------
+# Tools (same as tool_decorator_example.py)
+# ---------------------------------------------------------------------------
+
+
+@tool
+def get_weather(location: str, days: int = 1) -> dict:
+    """Get weather forecast for a location.
+
+    Args:
+        location: City name
+        days: Number of days to forecast (default: 1)
+    """
+    return {
+        "location": location,
+        "days": str(days),
+        "forecast": "sunny",
+        "temperature": "72",
+    }
+
+
+@tool
+def search_web(query: str, max_results: int = 5) -> list[str]:
+    """Search the web for information.
+
+    Args:
+        query: Search query
+        max_results: Maximum number of results to return
+    """
+    return [f"Result {i + 1} for '{query}'" for i in range(max_results)]
+
+
+@tool(name="calculator")
+def calculate(expression: str) -> str:
+    """Evaluate a mathematical expression.
+
+    Args:
+        expression: Mathematical expression to evaluate (e.g., "2 + 2 * 3")
+    """
+    # Only digits, whitespace, and basic arithmetic operators are permitted.
+    # This is enforced upstream by validate_tool_args, but the function
+    # applies its own check as a defence-in-depth measure.
+    allowed = set("0123456789 +-*/(). ")
+    if not set(expression).issubset(allowed):
+        return "Error: expression contains disallowed characters"
+    try:
+        # Safe: only reaches here when characters are in the allowed set
+        result = _safe_calc(expression)
+        return f"Result: {result}"
+    except Exception as e:
+        return f"Error: {e!s}"
+
+
+def _safe_calc(expression: str) -> float:
+    """Evaluate a restricted arithmetic expression (no builtins, no names)."""
+    import operator as op
+    import re
+
+    tokens = re.findall(r"[\d.]+|[+\-*/()]", expression)
+    # Build a simple recursive-descent expression for +, -, *, /, ()
+    pos = [0]
+
+    def parse_expr():
+        left = parse_term()
+        while pos[0] < len(tokens) and tokens[pos[0]] in ("+", "-"):
+            tok = tokens[pos[0]]
+            pos[0] += 1
+            right = parse_term()
+            left = op.add(left, right) if tok == "+" else op.sub(left, right)
+        return left
+
+    def parse_term():
+        left = parse_factor()
+        while pos[0] < len(tokens) and tokens[pos[0]] in ("*", "/"):
+            tok = tokens[pos[0]]
+            pos[0] += 1
+            right = parse_factor()
+            left = op.mul(left, right) if tok == "*" else op.truediv(left, right)
+        return left
+
+    def parse_factor():
+        tok = tokens[pos[0]]
+        if tok == "(":
+            pos[0] += 1
+            val = parse_expr()
+            pos[0] += 1  # consume ")"
+            return val
+        pos[0] += 1
+        return float(tok)
+
+    return parse_expr()
+
+
+# ---------------------------------------------------------------------------
+# Plugin 1 — Tool allow list (enforce)
+#
+# Only tools explicitly listed in ALLOWED_TOOLS may be called.  Any tool call
+# for an unlisted tool is blocked before it reaches the function.
+# ---------------------------------------------------------------------------
+
+ALLOWED_TOOLS: frozenset[str] = frozenset({"get_weather", "calculator"})
+
+
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
+async def enforce_tool_allowlist(payload, _):
+    """Block any tool not on the explicit allow list."""
+    tool_name = payload.model_tool_call.name
+    if tool_name not in ALLOWED_TOOLS:
+        log.warning(
+            "[allowlist] BLOCKED tool=%r — not in allowed set %s",
+            tool_name,
+            sorted(ALLOWED_TOOLS),
+        )
+        return block(
+            f"Tool '{tool_name}' is not permitted",
+            code="TOOL_NOT_ALLOWED",
+            details={"tool": tool_name, "allowed": sorted(ALLOWED_TOOLS)},
+        )
+    log.info("[allowlist] permitted tool=%r", tool_name)
+
+
+# ---------------------------------------------------------------------------
+# Plugin 2 — Argument validator (enforce)
+#
+# Inspects the arguments before a tool is invoked.  For the calculator,
+# reject expressions that contain characters outside the safe set.
+# This runs after the allow list so it only sees permitted tools.
+# ---------------------------------------------------------------------------
+
+_CALCULATOR_ALLOWED_CHARS: frozenset[str] = frozenset("0123456789 +-*/(). ")
+
+
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=10)
+async def validate_tool_args(payload, _):
+    """Validate tool arguments before invocation."""
+    tool_name = payload.model_tool_call.name
+    tool_args = payload.model_tool_call.args or {}
+    if tool_name == "calculator":
+        expression = tool_args.get("expression", "")
+        disallowed = set(expression) - _CALCULATOR_ALLOWED_CHARS
+        if disallowed:
+            log.warning(
+                "[arg-validator] BLOCKED calculator expression=%r (disallowed chars: %s)",
+                expression,
+                disallowed,
+            )
+            return block(
+                f"Calculator expression contains disallowed characters: {disallowed}",
+                code="UNSAFE_EXPRESSION",
+                details={"expression": expression, "disallowed": sorted(disallowed)},
+            )
+        log.info("[arg-validator] calculator expression=%r is safe", expression)
+    else:
+        log.info("[arg-validator] no arg validation required for tool=%r", tool_name)
+
+
+# ---------------------------------------------------------------------------
+# Plugin 3 — Tool audit logger (fire-and-forget)
+#
+# Records every tool invocation outcome for audit purposes.  Uses
+# fire_and_forget so it never adds latency to the main execution path.
+# ---------------------------------------------------------------------------
+
+
+@hook(HookType.TOOL_POST_INVOKE, mode=PluginMode.FIRE_AND_FORGET)
+async def audit_tool_calls(payload, _):
+    """Log the result of every tool call for audit purposes."""
+    status = "OK" if payload.success else "ERROR"
+    tool_name = payload.model_tool_call.name
+    log.info(
+        "[audit] tool=%r status=%s latency=%dms args=%s",
+        tool_name,
+        status,
+        payload.execution_time_ms,
+        payload.model_tool_call.args,
+    )
+    if not payload.success and payload.error is not None:
+        log.error("[audit] tool=%r error=%r", tool_name, str(payload.error))
+
+
+# ---------------------------------------------------------------------------
+# Plugin 4 — Arg sanitizer (repair)
+#
+# Instead of blocking, this plugin auto-fixes tool arguments before
+# invocation.  Two repairs are applied:
+#
+#   calculator  — strips any character outside the safe arithmetic set so
+#                 that the expression can still be evaluated.  A warning is
+#                 logged showing what was removed.
+#
+#   get_weather — normalises the location string to title-case and strips
+#                 leading/trailing whitespace (e.g. "  NEW YORK " → "New York").
+#
+# The plugin returns a modified ModelToolCall via model_copy so that the
+# corrected args are what actually reaches the tool function.
+# ---------------------------------------------------------------------------
+
+
+@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=15)
+async def sanitize_tool_args(payload, _) -> PluginResult:
+    """Auto-fix tool arguments rather than blocking on unsafe input."""
+    mtc = payload.model_tool_call
+    tool_name = mtc.name
+    args = dict(mtc.args or {})
+    updated: dict[str, object] = {}
+
+    if tool_name == "calculator":
+        raw_expr = str(args.get("expression", ""))
+        sanitized = "".join(c for c in raw_expr if c in _CALCULATOR_ALLOWED_CHARS)
+        if sanitized != raw_expr:
+            removed = set(raw_expr) - _CALCULATOR_ALLOWED_CHARS
+            log.warning(
+                "[sanitizer] calculator: stripped disallowed chars %s from expression=%r → %r",
+                sorted(removed),
+                raw_expr,
+                sanitized,
+            )
+            updated["expression"] = sanitized
+
+    elif tool_name == "get_weather":
+        raw_location = str(args.get("location", ""))
+        normalised = raw_location.strip().title()
+        if normalised != raw_location:
+            log.info(
+                "[sanitizer] get_weather: normalised location %r → %r",
+                raw_location,
+                normalised,
+            )
+            updated["location"] = normalised
+
+    if not updated:
+        return None  # nothing changed — pass through as-is
+
+    new_args = {**args, **updated}
+    new_call = dataclasses.replace(mtc, args=new_args)
+    modified = payload.model_copy(update={"model_tool_call": new_call})
+    return PluginResult(continue_processing=True, modified_payload=modified)
+
+
+# ---------------------------------------------------------------------------
+# Compose into PluginSets for clean session-scoped registration
+# ---------------------------------------------------------------------------
+
+tool_security = PluginSet(
+    "tool-security", [enforce_tool_allowlist, validate_tool_args, audit_tool_calls]
+)
+
+tool_sanitizer = PluginSet("tool-sanitizer", [sanitize_tool_args, audit_tool_calls])
+
+
+# ---------------------------------------------------------------------------
+# Scenarios
+# ---------------------------------------------------------------------------
+
+
+def _run_scenario(name: str, fn) -> None:
+    """Run a scenario function, logging any PluginViolationError without halting."""
+    log.info("=== %s ===", name)
+    try:
+        fn()
+    except PluginViolationError as e:
+        log.warning(
+            "Execution blocked on %s: [%s] %s (plugin=%s)",
+            e.hook_type,
+            e.code,
+            e.reason,
+            e.plugin_name,
+        )
+    log.info("")
+
+
+def scenario_1_allowed_tool(all_tools):
+    """Scenario 1: allowed tool call (get_weather)."""
+    with start_session(plugins=[tool_security]) as m:
+        result = m.instruct(
+            description="What is the weather in Boston for the next 3 days?",
+            requirements=[uses_tool("get_weather")],
+            model_options={ModelOption.TOOLS: all_tools},
+            tool_calls=True,
+        )
+        tool_outputs = _call_tools(result, m.backend)
+        if tool_outputs:
+            log.info("Tool returned: %s", tool_outputs[0].content)
+        else:
+            log.error("Expected tool call but none were executed")
+
+
+def scenario_2_blocked_tool(all_tools):
+    """Scenario 2: blocked tool call (search_web not on allow list)."""
+    with start_session(plugins=[tool_security]) as m:
+        result = m.instruct(
+            description="Search the web for the latest Python news.",
+            requirements=[uses_tool("search_web")],
+            model_options={ModelOption.TOOLS: all_tools},
+            tool_calls=True,
+        )
+        tool_outputs = _call_tools(result, m.backend)
+        if not tool_outputs:
+            log.info("Tool call was blocked — outputs list is empty, as expected")
+        else:
+            log.warning("Expected tool to be blocked but it executed: %s", tool_outputs)
+
+
+def scenario_3_safe_calculator(all_tools):
+    """Scenario 3: safe calculator expression goes through."""
+    with start_session(plugins=[tool_security]) as m:
+        result = m.instruct(
+            description="Use the calculator to compute 6 * 7.",
+            requirements=[uses_tool("calculator")],
+            model_options={ModelOption.TOOLS: all_tools},
+            tool_calls=True,
+        )
+        tool_outputs = _call_tools(result, m.backend)
+        if tool_outputs:
+            log.info("Tool returned: %s", tool_outputs[0].content)
+        else:
+            log.error("Expected tool call but none were executed")
+
+
+def scenario_4_blocked_calculator(all_tools):
+    """Scenario 4: unsafe calculator expression is blocked."""
+    with start_session(plugins=[tool_security]) as m:
+        result = m.instruct(
+            description=(
+                "Use the calculator on this expression: "
+                "__builtins__['print']('injected')"
+            ),
+            requirements=[uses_tool("calculator")],
+            model_options={ModelOption.TOOLS: all_tools},
+            tool_calls=True,
+        )
+        tool_outputs = _call_tools(result, m.backend)
+        if not tool_outputs:
+            log.info("Tool call was blocked — outputs list is empty, as expected")
+        else:
+            log.warning("Expected tool to be blocked but it executed: %s", tool_outputs)
+
+
+def scenario_5_sanitizer_calculator(all_tools):
+    """Scenario 5: arg sanitizer auto-fixes an unsafe calculator expression."""
+    with start_session(plugins=[tool_sanitizer]) as m:
+        result = m.instruct(
+            description=(
+                "Use the calculator on this expression: "
+                "6 * 7 + __import__('os').getpid()"
+            ),
+            requirements=[uses_tool("calculator")],
+            model_options={ModelOption.TOOLS: all_tools},
+            tool_calls=True,
+        )
+        tool_outputs = _call_tools(result, m.backend)
+        if tool_outputs:
+            log.info(
+                "Sanitized expression evaluated — tool returned: %s",
+                tool_outputs[0].content,
+            )
+        else:
+            log.error("Expected sanitized tool call but none were executed")
+
+
+def scenario_6_sanitizer_location(all_tools):
+    """Scenario 6: arg sanitizer normalises a messy location string."""
+    with start_session(plugins=[tool_sanitizer]) as m:
+        result = m.instruct(
+            description="What is the weather in '  NEW YORK  '?",
+            requirements=[uses_tool("get_weather")],
+            model_options={ModelOption.TOOLS: all_tools},
+            tool_calls=True,
+        )
+        tool_outputs = _call_tools(result, m.backend)
+        if tool_outputs:
+            log.info(
+                "Weather fetched with normalised location — tool returned: %s",
+                tool_outputs[0].content,
+            )
+        else:
+            log.error("Expected tool call but none were executed")
+
+
+# ---------------------------------------------------------------------------
+# Main — six scenarios
+# ---------------------------------------------------------------------------
+
+if __name__ == "__main__":
+    log.info("--- Tool hook plugins example ---")
+    log.info("")
+
+    all_tools = [get_weather, search_web, calculate]
+
+    _run_scenario(
+        "Scenario 1: allowed tool — get_weather",
+        lambda: scenario_1_allowed_tool(all_tools),
+    )
+    _run_scenario(
+        "Scenario 2: blocked tool — search_web not on allow list",
+        lambda: scenario_2_blocked_tool(all_tools),
+    )
+    _run_scenario(
+        "Scenario 3: safe calculator expression",
+        lambda: scenario_3_safe_calculator(all_tools),
+    )
+    _run_scenario(
+        "Scenario 4: unsafe calculator expression blocked",
+        lambda: scenario_4_blocked_calculator(all_tools),
+    )
+    _run_scenario(
+        "Scenario 5: arg sanitizer auto-fixes calculator expression",
+        lambda: scenario_5_sanitizer_calculator(all_tools),
+    )
+    _run_scenario(
+        "Scenario 6: arg sanitizer normalises location in get_weather",
+        lambda: scenario_6_sanitizer_location(all_tools),
+    )
diff --git a/docs/examples/tools/interpreter_example.py b/docs/examples/tools/interpreter_example.py
index df314b09e..de532e6a1 100644
--- a/docs/examples/tools/interpreter_example.py
+++ b/docs/examples/tools/interpreter_example.py
@@ -64,8 +64,10 @@ def example_4(m: MelleaSession):
                 "The plot should be written to /tmp/output.png",
                 tool_name=local_code_interpreter,
                 arg_name="code",
-                validation_fn=lambda code_snippet: "/tmp/output.png" in code_snippet
-                and "plt.show()" not in code_snippet,
+                validation_fn=lambda code_snippet: (
+                    "/tmp/output.png" in code_snippet
+                    and "plt.show()" not in code_snippet
+                ),
             ),
         ],
         model_options={
diff --git a/mellea/backends/dummy.py b/mellea/backends/dummy.py
index 71812d9aa..e3e12e100 100644
--- a/mellea/backends/dummy.py
+++ b/mellea/backends/dummy.py
@@ -23,7 +23,7 @@ def __init__(self, responses: list[str] | None):
         self.responses = responses
         self.idx = 0
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
diff --git a/mellea/backends/huggingface.py b/mellea/backends/huggingface.py
index 7f7314d66..c7886e7e2 100644
--- a/mellea/backends/huggingface.py
+++ b/mellea/backends/huggingface.py
@@ -311,7 +311,7 @@ def _make_dc_cache(self, toks, **model_options):
             ).past_key_values
         return dc
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -498,8 +498,7 @@ async def _generate_from_intrinsic(
         #       us having specific caching for each Component/Message.
 
         generate_input, other_input = (
-            # type: ignore
-            granite_formatters.base.util.chat_completion_request_to_transformers_inputs(
+            granite_formatters.base.util.chat_completion_request_to_transformers_inputs(  # type: ignore
                 rewritten, self._tokenizer, self._model
             )
         )
@@ -516,6 +515,7 @@ async def _generate_from_intrinsic(
         )
 
         output = ModelOutputThunk(None)
+        output._start = datetime.datetime.now()
         output._context = ctx.view_for_generation()
         output._action = action
         output._model_options = model_options
@@ -788,6 +788,7 @@ async def _generate_from_context_with_kv_cache(
             )
 
             output = ModelOutputThunk(None)
+            output._start = datetime.datetime.now()
             output._context = ctx.view_for_generation()
             output._action = action
             output._model_options = model_options
@@ -932,6 +933,7 @@ async def _generate_from_context_standard(
             )
 
             output = ModelOutputThunk(None)
+            output._start = datetime.datetime.now()
             output._context = ctx.view_for_generation()
             output._action = action
             output._model_options = model_options
diff --git a/mellea/backends/litellm.py b/mellea/backends/litellm.py
index 34ebfe970..4f5bac389 100644
--- a/mellea/backends/litellm.py
+++ b/mellea/backends/litellm.py
@@ -118,7 +118,7 @@ def __init__(
 
         self._past_event_loops: set[int] = set()
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -330,6 +330,7 @@ async def _generate_from_chat_context_standard(
         )
 
         output = ModelOutputThunk(None)
+        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/ollama.py b/mellea/backends/ollama.py
index ee159e88a..afe80ec84 100644
--- a/mellea/backends/ollama.py
+++ b/mellea/backends/ollama.py
@@ -250,7 +250,7 @@ def _make_backend_specific_and_remove(
         )
         return ModelOption.remove_special_keys(backend_specific)
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -365,6 +365,7 @@ async def generate_from_chat_context(
         )  # type: ignore
 
         output = ModelOutputThunk(None)
+        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/openai.py b/mellea/backends/openai.py
index 895bddd58..faadfc454 100644
--- a/mellea/backends/openai.py
+++ b/mellea/backends/openai.py
@@ -294,7 +294,7 @@ def _make_backend_specific_and_remove(
 
         return model_opts
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -472,6 +472,7 @@ async def _generate_from_chat_context_standard(
         )  # type: ignore
 
         output = ModelOutputThunk(None)
+        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/vllm.py b/mellea/backends/vllm.py
index 85ce66308..9ceedd651 100644
--- a/mellea/backends/vllm.py
+++ b/mellea/backends/vllm.py
@@ -233,7 +233,7 @@ def _model(self) -> vllm.AsyncLLMEngine:
 
         return self._underlying_model
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -326,6 +326,7 @@ async def _generate_from_context_standard(
             # if stream:
 
             output = ModelOutputThunk(None)
+            output._start = datetime.datetime.now()
 
             generator = self._model.generate(  # type: ignore
                 request_id=str(id(output)),
diff --git a/mellea/backends/watsonx.py b/mellea/backends/watsonx.py
index b7ac63545..d6ca943e9 100644
--- a/mellea/backends/watsonx.py
+++ b/mellea/backends/watsonx.py
@@ -242,7 +242,7 @@ def _make_backend_specific_and_remove(
 
         return model_opts
 
-    async def generate_from_context(
+    async def _generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -369,6 +369,7 @@ async def generate_from_chat_context(
             )
 
         output = ModelOutputThunk(None)
+        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/core/backend.py b/mellea/core/backend.py
index 7f0c88e68..6a1a1396a 100644
--- a/mellea/core/backend.py
+++ b/mellea/core/backend.py
@@ -2,13 +2,17 @@
 
 import abc
 import asyncio
+import functools
 import itertools
+import time
 from collections.abc import Sequence
-from typing import overload
+from typing import final, overload
 
 import pydantic
 import typing_extensions
 
+from ..plugins.manager import has_plugins, invoke_hook
+from ..plugins.types import HookType
 from .base import C, CBlock, Component, Context, ModelOutputThunk
 from .utils import FancyLogger
 
@@ -31,7 +35,7 @@
 class Backend(abc.ABC):
     """An abstract `Backend`."""
 
-    @abc.abstractmethod
+    @final
     async def generate_from_context(
         self,
         action: Component[C] | CBlock,
@@ -43,6 +47,54 @@ async def generate_from_context(
     ) -> tuple[ModelOutputThunk[C], Context]:
         """Generates a model output from a context. May not mutate the context. This must be called from a running event loop as it creates a task to run the generation request.
 
+        Args:
+            action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
+            ctx: The rest of the context.
+            format: A response format to used for structured outputs / constrained decoding.
+            model_options: Any model options to upsert into the defaults for this call.
+            tool_calls: If `True`, then tool calls are extracts from the `action` `Component`. Assumption: if tool_calls is enabled, then the action `Component` has a TemplateRepresentation
+
+        Returns:
+            a tuple of (ModelOutputThunk, Context) where the Context is the new context after the generation has been completed.
+        """
+        # --- generation_pre_call hook ---
+        if has_plugins(HookType.GENERATION_PRE_CALL):
+            from ..plugins.hooks.generation import GenerationPreCallPayload
+
+            pre_payload = GenerationPreCallPayload(
+                action=action,
+                context=ctx,
+                format=format,
+                model_options=model_options or {},
+                tool_calls=tool_calls,
+            )
+            _, pre_payload = await invoke_hook(
+                HookType.GENERATION_PRE_CALL, pre_payload, backend=self
+            )
+            model_options = pre_payload.model_options
+            format = pre_payload.format
+            tool_calls = pre_payload.tool_calls
+
+        return await self._generate_from_context(
+            action,
+            ctx,
+            format=format,
+            model_options=model_options,
+            tool_calls=tool_calls,
+        )
+
+    @abc.abstractmethod
+    async def _generate_from_context(
+        self,
+        action: Component[C] | CBlock,
+        ctx: Context,
+        *,
+        format: type[BaseModelSubclass] | None = None,
+        model_options: dict | None = None,
+        tool_calls: bool = False,
+    ) -> tuple[ModelOutputThunk[C], Context]:
+        """Backend implementers should override this method to generate the actual response.
+
         Args:
             action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
             ctx: The rest of the context.
diff --git a/mellea/core/base.py b/mellea/core/base.py
index 4ec601e0a..aab47ed5a 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -8,6 +8,7 @@
 import binascii
 import datetime
 import enum
+import time
 from collections.abc import Callable, Coroutine, Iterable, Mapping
 from copy import copy, deepcopy
 from dataclasses import dataclass
@@ -17,6 +18,9 @@
 import typing_extensions
 from PIL import Image as PILImage
 
+from ..plugins.manager import has_plugins, invoke_hook
+from ..plugins.types import HookType
+
 
 class CBlock:
     """A `CBlock` is a block of content that can serve as input to or output from an LLM."""
@@ -212,9 +216,25 @@ def __init__(
         )
         self._process: Callable[[ModelOutputThunk, Any], Coroutine] | None = None
         self._post_process: Callable[[ModelOutputThunk], Coroutine] | None = None
+        self._on_computed: Callable[[ModelOutputThunk], Coroutine] | None = None
 
+        self._start: datetime.datetime | None = None
         self._generate_log: GenerateLog | None = None
 
+    def _copy_from(self, other: ModelOutputThunk) -> None:
+        """Copy computed-output fields from *other* into *self*.
+
+        This is used when a hook replaces the MOT: callers already hold a
+        reference to *self*, so we swap the output-relevant state in-place
+        rather than replacing the object.
+        """
+        self._underlying_value = other._underlying_value
+        self._meta = other._meta
+        self.parsed_repr = other.parsed_repr
+        self.tool_calls = other.tool_calls
+        self._thinking = other._thinking
+        self._generate_log = other._generate_log
+
     def is_computed(self):
         """Returns true only if this Thunk has already been filled."""
         return self._computed
@@ -359,6 +379,28 @@ async def astream(self) -> str:
             assert self.parsed_repr is not None, (
                 "enforce constraint that a computed ModelOutputThunk has a non-None parsed_repr"
             )
+
+            # --- generation_post_call hook ---
+            if has_plugins(HookType.GENERATION_POST_CALL):
+                from ..plugins.hooks.generation import GenerationPostCallPayload
+
+                glog = self._generate_log
+                prompt = glog.prompt if glog and glog.prompt else ""
+                latency_ms = (
+                    (datetime.datetime.now() - self._start).total_seconds() * 1000
+                    if self._start
+                    else -1
+                )
+                post_payload = GenerationPostCallPayload(
+                    prompt=prompt, model_output=self, latency_ms=latency_ms
+                )
+                await invoke_hook(HookType.GENERATION_POST_CALL, post_payload)
+                # NOTE: If we allow generation_post_call to modify the model output thunk, we need to
+                # set the value and copy over fields here.
+                # replacement = await invoke_hook(...)
+                # if replacement is not None and replacement is not self:
+                #     self._copy_from(replacement)
+
             return self._underlying_value  # type: ignore
 
         return (
diff --git a/mellea/formatters/granite/retrievers/util.py b/mellea/formatters/granite/retrievers/util.py
index cd42bf0f9..eeaf6fea3 100644
--- a/mellea/formatters/granite/retrievers/util.py
+++ b/mellea/formatters/granite/retrievers/util.py
@@ -5,8 +5,8 @@
 # Standard
 import os
 import pathlib
-import urllib
 import urllib.error
+import urllib.request
 import zipfile
 
 # Third Party
diff --git a/mellea/plugins/__init__.py b/mellea/plugins/__init__.py
new file mode 100644
index 000000000..f5433fdd8
--- /dev/null
+++ b/mellea/plugins/__init__.py
@@ -0,0 +1,29 @@
+"""Mellea Plugin System — extension points for policy enforcement, observability, and customization.
+
+Public API::
+
+    from mellea.plugins import Plugin, hook, block, modify, PluginSet, register, unregister
+"""
+
+from __future__ import annotations
+
+from .base import Plugin, PluginResult, PluginViolationError
+from .decorators import hook
+from .pluginset import PluginSet
+from .registry import block, modify, plugin_scope, register, unregister
+from .types import HookType, PluginMode
+
+__all__ = [
+    "HookType",
+    "Plugin",
+    "PluginMode",
+    "PluginResult",
+    "PluginSet",
+    "PluginViolationError",
+    "block",
+    "hook",
+    "modify",
+    "plugin_scope",
+    "register",
+    "unregister",
+]
diff --git a/mellea/plugins/base.py b/mellea/plugins/base.py
new file mode 100644
index 000000000..9727f2a4e
--- /dev/null
+++ b/mellea/plugins/base.py
@@ -0,0 +1,243 @@
+"""Base types for the Mellea plugin system."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import UTC, datetime, timezone
+from types import TracebackType
+from typing import TYPE_CHECKING, Any, TypeAlias
+
+from pydantic import Field
+
+# ---------------------------------------------------------------------------
+# Plugin base class (no cpex dependency)
+# ---------------------------------------------------------------------------
+
+
+@dataclass(frozen=True)
+class PluginMeta:
+    """Metadata attached to Plugin subclasses."""
+
+    name: str
+    priority: int = 50
+
+
+def _plugin_cm_enter(self: Any) -> Any:
+    if getattr(self, "_scope_id", None) is not None:
+        meta = getattr(type(self), "_mellea_plugin_meta", None)
+        plugin_name = meta.name if meta else type(self).__name__
+        raise RuntimeError(
+            f"Plugin {plugin_name!r} is already active as a context manager. "
+            "Concurrent or nested reuse of the same instance is not supported; "
+            "create a new instance instead."
+        )
+    import uuid
+
+    from mellea.plugins.registry import register
+
+    self._scope_id = str(uuid.uuid4())
+    register(self, session_id=self._scope_id)
+    return self
+
+
+def _plugin_cm_exit(self: Any, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+    scope_id = getattr(self, "_scope_id", None)
+    if scope_id is not None:
+        from mellea.plugins.manager import deregister_session_plugins
+
+        deregister_session_plugins(scope_id)
+        self._scope_id = None
+
+
+class Plugin:
+    """Base class for multi-hook Mellea plugins.
+
+    Subclasses get automatic context-manager support and plugin metadata::
+
+        class PIIRedactor(Plugin, name="pii-redactor", priority=5):
+            @hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL)
+            async def redact_input(self, payload, ctx):
+                ...
+
+        with PIIRedactor():
+            result = session.instruct("...")
+    """
+
+    def __init_subclass__(
+        cls, *, name: str = "", priority: int = 50, **kwargs: Any
+    ) -> None:
+        """Set plugin metadata on subclasses that provide a ``name``."""
+        super().__init_subclass__(**kwargs)
+        if name:
+            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)  # type: ignore[attr-defined]
+
+    def __enter__(self) -> Any:
+        """Register this plugin for the duration of a ``with`` block."""
+        return _plugin_cm_enter(self)
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        """Deregister this plugin on exit."""
+        _plugin_cm_exit(self, exc_type, exc_val, exc_tb)
+
+    async def __aenter__(self) -> Any:
+        """Async variant — delegates to ``__enter__``."""
+        return self.__enter__()
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: TracebackType | None,
+    ) -> None:
+        """Async variant — delegates to ``__exit__``."""
+        self.__exit__(exc_type, exc_val, exc_tb)
+
+
+# ---------------------------------------------------------------------------
+# cpex plugin framework (optional dependency)
+# ---------------------------------------------------------------------------
+
+try:
+    from cpex.framework.base import Plugin as _CpexPlugin
+    from cpex.framework.models import (
+        PluginContext,
+        PluginPayload,
+        PluginResult as _CFPluginResult,
+    )
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+if TYPE_CHECKING:
+    from mellea.core.backend import Backend
+    from mellea.core.base import Context
+    from mellea.stdlib.session import MelleaSession
+
+
+class PluginViolationError(Exception):
+    """Raised when a plugin blocks execution in enforce mode."""
+
+    def __init__(  # noqa: D107
+        self, hook_type: str, reason: str, code: str = "", plugin_name: str = ""
+    ):
+        self.hook_type = hook_type
+        self.reason = reason
+        self.code = code
+        self.plugin_name = plugin_name
+        detail = f"[{code}] " if code else ""
+        super().__init__(f"Plugin blocked {hook_type}: {detail}{reason}")
+
+
+class MelleaBasePayload(PluginPayload):
+    """Frozen base — all payloads are immutable by design.
+
+    Plugins must use ``model_copy(update={...})`` to propose modifications
+    and return the copy via ``PluginResult.modified_payload``.  The plugin
+    manager applies the hook's ``HookPayloadPolicy`` to filter changes to
+    writable fields only.
+    """
+
+    session_id: str | None = None
+    request_id: str = ""
+    timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
+    hook: str = ""
+    user_metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+if _HAS_PLUGIN_FRAMEWORK:
+
+    class MelleaPlugin(_CpexPlugin):
+        """Base class for Mellea plugins with lifecycle hooks and typed accessors.
+
+        Use this when you need lifecycle hooks (``initialize``/``shutdown``)
+        or typed context accessors.  For simpler plugins, prefer ``@hook``
+        on standalone functions or ``@plugin`` on plain classes.
+
+        Instances support the context manager protocol for temporary activation::
+
+            class MyPlugin(MelleaPlugin):
+                def __init__(self):
+                    super().__init__(PluginConfig(name="my-plugin", hooks=[...]))
+
+                async def some_hook(self, payload, ctx):
+                    ...
+
+            with MyPlugin() as p:
+                result, ctx = instruct("...", ctx, backend)
+
+            # or async
+            async with MyPlugin() as p:
+                result, ctx = await ainstruct("...", ctx, backend)
+        """
+
+        def get_backend(self, context: PluginContext) -> Backend | None:
+            """Get the Backend from the plugin context."""
+            return context.global_context.state.get("backend")
+
+        def get_mellea_context(self, context: PluginContext) -> Context | None:
+            """Get the Mellea Context from the plugin context."""
+            return context.global_context.state.get("context")
+
+        def get_session(self, context: PluginContext) -> MelleaSession | None:
+            """Get the MelleaSession from the plugin context."""
+            return context.global_context.state.get("session")
+
+        @property
+        def plugin_config(self) -> dict[str, Any]:
+            """Plugin-specific configuration from PluginConfig.config."""
+            return self._config.config or {}
+
+        def __enter__(self) -> MelleaPlugin:
+            """Register this plugin for the duration of a ``with`` block."""
+            if getattr(self, "_scope_id", None) is not None:
+                raise RuntimeError(
+                    f"MelleaPlugin {self.name!r} is already active as a context manager. "
+                    "Concurrent or nested reuse of the same instance is not supported; "
+                    "create a new instance instead."
+                )
+            import uuid
+
+            from mellea.plugins.registry import register
+
+            self._scope_id = str(uuid.uuid4())
+            register(self, session_id=self._scope_id)
+            return self
+
+        def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+            """Deregister this plugin on exit."""
+            scope_id = getattr(self, "_scope_id", None)
+            if scope_id is not None:
+                from mellea.plugins.manager import deregister_session_plugins
+
+                deregister_session_plugins(scope_id)
+                self._scope_id = None  # type: ignore[assignment]
+
+        async def __aenter__(self) -> MelleaPlugin:
+            """Async variant — delegates to the synchronous ``__enter__``."""
+            return self.__enter__()
+
+        async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+            """Async variant — delegates to the synchronous ``__exit__``."""
+            self.__exit__(exc_type, exc_val, exc_tb)
+
+    PluginResult: TypeAlias = _CFPluginResult  # type: ignore[misc]
+
+else:
+    # Provide a stub when the plugin framework is not installed.
+    class MelleaPlugin:  # type: ignore[no-redef]
+        """Stub — install ``mcp-contextforge-gateway`` for full plugin support."""
+
+        def __init__(self, *args: Any, **kwargs: Any) -> None:  # noqa: D107
+            raise ImportError(
+                "MelleaPlugin requires the ContextForge plugin framework. "
+                "Install it with: pip install 'mellea[contextforge]'"
+            )
+
+    # Provide an alias when the plugin framework is not installed.
+    PluginResult: TypeAlias = Any  # type: ignore[no-redef, misc]
diff --git a/mellea/plugins/context.py b/mellea/plugins/context.py
new file mode 100644
index 000000000..bed622794
--- /dev/null
+++ b/mellea/plugins/context.py
@@ -0,0 +1,36 @@
+"""Plugin context factory — maps Mellea domain objects to ContextForge GlobalContext."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+try:
+    from cpex.framework.models import GlobalContext
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+if TYPE_CHECKING:
+    from mellea.core.backend import Backend
+
+
+def build_global_context(*, backend: Backend | None = None, **extra_fields: Any) -> Any:
+    """Build a ContextForge ``GlobalContext`` from Mellea domain objects.
+
+    The global context carries lightweight, cross-cutting ambient metadata
+    (e.g. ``backend_name``) that is useful to every hook regardless of type.
+    Hook-specific data (context, session, action, etc.) belongs on the typed
+    payload, not here.
+
+    Returns ``None`` if ContextForge is not installed.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        return None
+
+    state: dict[str, Any] = {}
+    if backend is not None:
+        state["backend_name"] = getattr(backend, "model_id", "unknown")
+    state.update(extra_fields)
+
+    return GlobalContext(request_id="", state=state)
diff --git a/mellea/plugins/decorators.py b/mellea/plugins/decorators.py
new file mode 100644
index 000000000..27789c647
--- /dev/null
+++ b/mellea/plugins/decorators.py
@@ -0,0 +1,49 @@
+"""Mellea hook decorator."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from dataclasses import dataclass
+
+from mellea.plugins.types import PluginMode
+
+
+@dataclass(frozen=True)
+class HookMeta:
+    """Metadata attached by the @hook decorator."""
+
+    hook_type: str
+    mode: PluginMode = PluginMode.SEQUENTIAL
+    priority: int | None = None
+
+
+def hook(
+    hook_type: str,
+    *,
+    mode: PluginMode = PluginMode.SEQUENTIAL,
+    priority: int | None = None,
+) -> Callable:
+    """Register an async function or method as a hook handler.
+
+    Args:
+        hook_type: The hook point name (e.g., ``"generation_pre_call"``).
+        mode: Execution mode — ``PluginMode.SEQUENTIAL`` (default), ``PluginMode.CONCURRENT``,
+              ``PluginMode.AUDIT``, or ``PluginMode.FIRE_AND_FORGET``.
+        priority: Lower numbers execute first. For methods on a ``Plugin`` subclass, falls back
+                  to the class-level priority, then 50. For standalone functions, defaults to 50.
+    """
+
+    def decorator(fn: Callable) -> Callable:
+        import inspect
+
+        if not inspect.iscoroutinefunction(fn):
+            raise TypeError(
+                f"@hook-decorated function {fn.__qualname__!r} must be async "
+                f"(defined with 'async def'), got a regular function."
+            )
+        fn._mellea_hook_meta = HookMeta(  # type: ignore[attr-defined]
+            hook_type=hook_type, mode=mode, priority=priority
+        )
+        return fn
+
+    return decorator
diff --git a/mellea/plugins/hooks/__init__.py b/mellea/plugins/hooks/__init__.py
new file mode 100644
index 000000000..5c017fbb9
--- /dev/null
+++ b/mellea/plugins/hooks/__init__.py
@@ -0,0 +1,48 @@
+"""Hook payload classes for the Mellea plugin system."""
+
+from .component import (
+    ComponentPostErrorPayload,
+    ComponentPostSuccessPayload,
+    ComponentPreExecutePayload,
+)
+from .generation import GenerationPostCallPayload, GenerationPreCallPayload
+from .sampling import (
+    SamplingIterationPayload,
+    SamplingLoopEndPayload,
+    SamplingLoopStartPayload,
+    SamplingRepairPayload,
+)
+from .session import (
+    SessionCleanupPayload,
+    SessionPostInitPayload,
+    SessionPreInitPayload,
+    SessionResetPayload,
+)
+from .tool import ToolPostInvokePayload, ToolPreInvokePayload
+from .validation import ValidationPostCheckPayload, ValidationPreCheckPayload
+
+__all__ = [
+    # Component
+    "ComponentPostErrorPayload",
+    "ComponentPostSuccessPayload",
+    "ComponentPreExecutePayload",
+    # Generation
+    "GenerationPostCallPayload",
+    "GenerationPreCallPayload",
+    # Sampling
+    "SamplingIterationPayload",
+    "SamplingLoopEndPayload",
+    "SamplingLoopStartPayload",
+    "SamplingRepairPayload",
+    # Session
+    "SessionCleanupPayload",
+    "SessionPostInitPayload",
+    "SessionPreInitPayload",
+    "SessionResetPayload",
+    # Tool
+    "ToolPostInvokePayload",
+    "ToolPreInvokePayload",
+    # Validation
+    "ValidationPostCheckPayload",
+    "ValidationPreCheckPayload",
+]
diff --git a/mellea/plugins/hooks/component.py b/mellea/plugins/hooks/component.py
new file mode 100644
index 000000000..b42615c3a
--- /dev/null
+++ b/mellea/plugins/hooks/component.py
@@ -0,0 +1,82 @@
+"""Component lifecycle hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class ComponentPreExecutePayload(MelleaBasePayload):
+    """Payload for ``component_pre_execute`` — before component execution via ``aact()``.
+
+    Attributes:
+        component_type: Class name of the component being executed.
+        action: The ``Component`` or ``CBlock`` about to be executed.
+        context_view: Optional snapshot of the context as a list.
+        requirements: List of ``Requirement`` instances for validation (writable).
+        model_options: Dict of model options passed to the backend (writable).
+        format: Optional ``BaseModel`` subclass for structured output / constrained decoding (writable).
+        strategy: Optional ``SamplingStrategy`` instance controlling retry logic (writable).
+        tool_calls_enabled: Whether tool calling is enabled for this execution (writable).
+    """
+
+    component_type: str = ""
+    action: Any = None
+    context_view: list[Any] | None = None
+    requirements: list[Any] = []
+    model_options: dict[str, Any] = {}
+    format: Any = None
+    strategy: Any = None
+    tool_calls_enabled: bool = False
+
+
+class ComponentPostSuccessPayload(MelleaBasePayload):
+    """Payload for ``component_post_success`` — after successful component execution.
+
+    Attributes:
+        component_type: Class name of the executed component.
+        action: The ``Component`` or ``CBlock`` that was executed.
+
+        result: The ``ModelOutputThunk`` containing the generation result.
+        context_before: The ``Context`` before execution.
+
+        context_after: The ``Context`` after execution (with action + result appended).
+
+        generate_log: The ``GenerateLog`` from the final generation pass.
+        sampling_results: Optional list of ``ModelOutputThunk`` from all sampling attempts.
+        latency_ms: Wall-clock time for the full execution in milliseconds.
+    """
+
+    component_type: str = ""
+    action: Any = None
+    result: Any = None
+    context_before: Any = None
+    context_after: Any = None
+    generate_log: Any = None
+    sampling_results: list[Any] | None = None
+    latency_ms: int = 0
+
+
+class ComponentPostErrorPayload(MelleaBasePayload):
+    """Payload for ``component_post_error`` — after component execution fails.
+
+    Attributes:
+        component_type: Class name of the component that failed.
+        action: The ``Component`` or ``CBlock`` that was being executed.
+
+        error: The ``Exception`` that was raised.
+        error_type: Class name of the exception (e.g. ``"ValueError"``).
+        stack_trace: Formatted traceback string.
+        context: The ``Context`` at the time of the error.
+
+        model_options: Dict of model options that were in effect.
+    """
+
+    component_type: str = ""
+    action: Any = None
+    error: Any = None
+    error_type: str = ""
+    stack_trace: str = ""
+    context: Any = None
+    model_options: dict[str, Any] = {}
diff --git a/mellea/plugins/hooks/generation.py b/mellea/plugins/hooks/generation.py
new file mode 100644
index 000000000..2b83c8c1f
--- /dev/null
+++ b/mellea/plugins/hooks/generation.py
@@ -0,0 +1,48 @@
+"""Generation pipeline hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class GenerationPreCallPayload(MelleaBasePayload):
+    """Payload for ``generation_pre_call`` — before LLM backend call.
+
+    Attributes:
+        action: The ``Component`` or ``CBlock`` about to be sent to the backend.
+
+        context: The ``Context`` being used for this generation call.
+
+        model_options: Dict of model options (writable — plugins may adjust temperature, etc.).
+        format: Optional ``BaseModel`` subclass for constrained decoding (writable).
+        tool_calls: Whether tool calls are enabled for this generation (writable).
+    """
+
+    action: Any = None
+    context: Any = None
+    model_options: dict[str, Any] = {}
+    format: Any = None
+    tool_calls: bool = False
+
+
+class GenerationPostCallPayload(MelleaBasePayload):
+    """Payload for ``generation_post_call`` — fires once the model output is fully computed.
+
+    For lazy ``ModelOutputThunk`` objects this hook fires inside
+    ``ModelOutputThunk.astream`` after ``post_process`` completes, so
+    ``model_output.value`` is guaranteed to be available. For already-computed
+    thunks (e.g. cached responses) it fires before ``generate_from_context``
+    returns.
+
+    Attributes:
+        prompt: The formatted prompt sent to the backend (str or list of message dicts).
+        model_output: The fully-computed ``ModelOutputThunk``.
+        latency_ms: Elapsed milliseconds from the ``generate_from_context`` call
+            to when the value was fully materialized.
+    """
+
+    prompt: str | list[dict[str, Any]] = ""
+    model_output: Any = None
+    latency_ms: float = 0.0
diff --git a/mellea/plugins/hooks/sampling.py b/mellea/plugins/hooks/sampling.py
new file mode 100644
index 000000000..4e0bceefe
--- /dev/null
+++ b/mellea/plugins/hooks/sampling.py
@@ -0,0 +1,101 @@
+"""Sampling pipeline hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class SamplingLoopStartPayload(MelleaBasePayload):
+    """Payload for ``sampling_loop_start`` — when sampling strategy begins.
+
+    Attributes:
+        strategy_name: Class name of the sampling strategy (e.g. ``"RejectionSamplingStrategy"``).
+        action: The ``Component`` being sampled.
+
+        context: The ``Context`` at the start of sampling.
+
+        requirements: List of ``Requirement`` instances to validate against.
+        loop_budget: Maximum number of sampling iterations allowed (writable).
+    """
+
+    strategy_name: str = ""
+    action: Any = None
+    context: Any = None
+    requirements: list[Any] = []
+    loop_budget: int = 0
+
+
+class SamplingIterationPayload(MelleaBasePayload):
+    """Payload for ``sampling_iteration`` — after each sampling attempt.
+
+    Attributes:
+        iteration: 1-based iteration number within the sampling loop.
+        action: The ``Component`` used for this attempt.
+
+        result: The ``ModelOutputThunk`` produced by this attempt.
+        validation_results: List of ``(Requirement, ValidationResult)`` tuples.
+        all_validations_passed: ``True`` when **every** requirement in ``validation_results``
+            passed for this iteration (i.e., the sampling attempt succeeded).
+        valid_count: Number of requirements that passed.
+        total_count: Total number of requirements evaluated.
+    """
+
+    iteration: int = 0
+    action: Any = None
+    result: Any = None
+    validation_results: list[tuple[Any, Any]] = []
+    all_validations_passed: bool = False
+    valid_count: int = 0
+    total_count: int = 0
+
+
+class SamplingRepairPayload(MelleaBasePayload):
+    """Payload for ``sampling_repair`` — when repair is invoked after validation failure.
+
+    Attributes:
+        repair_type: Kind of repair (strategy-dependent, e.g. ``"rejection"``, ``"template"``).
+        failed_action: The ``Component`` that failed validation.
+
+        failed_result: The ``ModelOutputThunk`` that failed validation.
+        failed_validations: List of ``(Requirement, ValidationResult)`` tuples that failed.
+        repair_action: The repaired ``Component`` to use for the next attempt.
+        repair_context: The ``Context`` to use for the next attempt.
+        repair_iteration: 1-based iteration at which the repair was triggered.
+    """
+
+    repair_type: str = ""
+    failed_action: Any = None
+    failed_result: Any = None
+    failed_validations: list[tuple[Any, Any]] = []
+    repair_action: Any = None
+    repair_context: Any = None
+    repair_iteration: int = 0
+
+
+class SamplingLoopEndPayload(MelleaBasePayload):
+    """Payload for ``sampling_loop_end`` — when sampling completes.
+
+    Attributes:
+        success: ``True`` if at least one attempt passed all requirements.
+        iterations_used: Total number of iterations the loop executed.
+        final_result: The selected ``ModelOutputThunk`` (best success or best failure).
+        final_action: The ``Component`` that produced ``final_result``.
+
+        final_context: The ``Context`` associated with ``final_result``.
+
+        failure_reason: Human-readable reason when ``success`` is ``False``.
+        all_results: List of ``ModelOutputThunk`` from every iteration.
+        all_validations: Nested list — ``all_validations[i]`` is the list of
+            ``(Requirement, ValidationResult)`` tuples for iteration *i*.
+    """
+
+    success: bool = False
+    iterations_used: int = 0
+    final_result: Any = None
+    final_action: Any = None
+    final_context: Any = None
+    failure_reason: str | None = None
+    all_results: list[Any] = []
+    all_validations: list[list[tuple[Any, Any]]] = []
diff --git a/mellea/plugins/hooks/session.py b/mellea/plugins/hooks/session.py
new file mode 100644
index 000000000..321f154ee
--- /dev/null
+++ b/mellea/plugins/hooks/session.py
@@ -0,0 +1,64 @@
+"""Session lifecycle hook payloads."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+if TYPE_CHECKING:
+    pass
+
+
+class SessionPreInitPayload(MelleaBasePayload):
+    """Payload for ``session_pre_init`` — before backend initialization.
+
+    Attributes:
+        backend_name: Name of the backend (e.g. ``"ollama"``, ``"openai"``).
+        model_id: Model identifier string (writable).
+        model_options: Optional dict of model options like temperature, max_tokens (writable).
+        context_type: Class name of the context being used (e.g. ``"SimpleContext"``).
+    """
+
+    backend_name: str
+    model_id: str
+    model_options: dict[str, Any] | None = None
+    context_type: str = "SimpleContext"
+
+
+class SessionPostInitPayload(MelleaBasePayload):
+    """Payload for ``session_post_init`` — after session is fully initialized.
+
+    Attributes:
+        session_id: UUID string identifying this session.
+        model_id: Model identifier used by the backend (e.g. ``"granite4:micro"``).
+        context: The initial ``Context`` instance for this session.
+    """
+
+    session_id: str = ""
+    model_id: str = ""
+    context: Any = None
+
+
+class SessionResetPayload(MelleaBasePayload):
+    """Payload for ``session_reset`` — when session context is reset.
+
+    Attributes:
+        previous_context: The ``Context`` that is about to be discarded (observe-only).
+
+    """
+
+    previous_context: Any = None
+
+
+class SessionCleanupPayload(MelleaBasePayload):
+    """Payload for ``session_cleanup`` — before session cleanup/teardown.
+
+    Attributes:
+        context: The ``Context`` at the time of cleanup (observe-only).
+
+        interaction_count: Number of items in the context at cleanup time.
+    """
+
+    context: Any = None
+    interaction_count: int = 0
diff --git a/mellea/plugins/hooks/tool.py b/mellea/plugins/hooks/tool.py
new file mode 100644
index 000000000..bc92d430e
--- /dev/null
+++ b/mellea/plugins/hooks/tool.py
@@ -0,0 +1,39 @@
+"""Tool execution hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class ToolPreInvokePayload(MelleaBasePayload):
+    """Payload for ``tool_pre_invoke`` — before tool/function invocation.
+
+    Attributes:
+        model_tool_call: The ``ModelToolCall`` about to be executed (writable —
+            plugins may modify arguments or swap the tool entirely).
+    """
+
+    model_tool_call: Any = None
+
+
+class ToolPostInvokePayload(MelleaBasePayload):
+    """Payload for ``tool_post_invoke`` — after tool execution.
+
+    Attributes:
+        model_tool_call: The ``ModelToolCall`` that was executed.
+        tool_output: The return value of the tool function (writable —
+            plugins may transform the output before it is formatted).
+        tool_message: The ``ToolMessage`` constructed from the output.
+        execution_time_ms: Wall-clock time of the tool execution in milliseconds.
+        success: ``True`` if the tool executed without raising an exception.
+        error: The ``Exception`` raised during execution, or ``None`` on success.
+    """
+
+    model_tool_call: Any = None
+    tool_output: Any = None
+    tool_message: Any = None
+    execution_time_ms: int = 0
+    success: bool = True
+    error: Any = None
diff --git a/mellea/plugins/hooks/validation.py b/mellea/plugins/hooks/validation.py
new file mode 100644
index 000000000..4c7f22845
--- /dev/null
+++ b/mellea/plugins/hooks/validation.py
@@ -0,0 +1,43 @@
+"""Validation hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class ValidationPreCheckPayload(MelleaBasePayload):
+    """Payload for ``validation_pre_check`` — before requirement validation.
+
+    Attributes:
+        requirements: List of ``Requirement`` instances to validate (writable).
+        target: The ``CBlock`` being validated, or ``None`` when validating the full context.
+
+        context: The ``Context`` used for validation.
+
+        model_options: Dict of model options for backend-based validators (writable).
+    """
+
+    requirements: list[Any] = []
+    target: Any = None
+    context: Any = None
+    model_options: dict[str, Any] = {}
+
+
+class ValidationPostCheckPayload(MelleaBasePayload):
+    """Payload for ``validation_post_check`` — after validation completes.
+
+    Attributes:
+        requirements: List of ``Requirement`` instances that were evaluated.
+        results: List of ``ValidationResult`` instances (writable).
+        all_validations_passed: ``True`` when every requirement passed (writable).
+        passed_count: Number of requirements that passed.
+        failed_count: Number of requirements that failed.
+    """
+
+    requirements: list[Any] = []
+    results: list[Any] = []
+    all_validations_passed: bool = False
+    passed_count: int = 0
+    failed_count: int = 0
diff --git a/mellea/plugins/manager.py b/mellea/plugins/manager.py
new file mode 100644
index 000000000..375341eda
--- /dev/null
+++ b/mellea/plugins/manager.py
@@ -0,0 +1,200 @@
+"""Singleton plugin manager wrapper with session-tag filtering."""
+
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING, Any, Literal
+
+from mellea.plugins.base import MelleaBasePayload, PluginViolationError
+from mellea.plugins.context import build_global_context
+from mellea.plugins.policies import MELLEA_HOOK_PAYLOAD_POLICIES
+from mellea.plugins.types import HookType, register_mellea_hooks
+
+try:
+    from cpex.framework.manager import PluginManager
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+if TYPE_CHECKING:
+    from mellea.core.backend import Backend
+
+logger = logging.getLogger(__name__)
+
+# Module-level singleton state
+_plugin_manager: Any | None = None
+_plugins_enabled: bool = False
+_session_tags: dict[str, set[str]] = {}  # session_id -> set of plugin names
+
+DEFAULT_PLUGIN_TIMEOUT: int = 5  # seconds
+DEFAULT_HOOK_POLICY: Literal["allow"] | Literal["deny"] = "deny"
+
+
+def has_plugins(hook_type: HookType | None = None) -> bool:
+    """Fast check: are plugins configured and available for the given hook type.
+
+    When ``hook_type`` is provided, also checks whether any plugin has
+    registered a handler for that specific hook, enabling callers to skip
+    payload construction entirely when no plugin subscribes.
+    """
+    if not _plugins_enabled or _plugin_manager is None:
+        return False
+    if hook_type is not None:
+        return _plugin_manager.has_hooks_for(hook_type.value)
+    return True
+
+
+def get_plugin_manager() -> Any | None:
+    """Returns the initialized PluginManager, or ``None`` if plugins are not configured."""
+    return _plugin_manager
+
+
+def ensure_plugin_manager() -> Any:
+    """Lazily initialize the PluginManager if not already created."""
+    global _plugin_manager, _plugins_enabled
+
+    if not _HAS_PLUGIN_FRAMEWORK:
+        raise ImportError(
+            "Plugin system requires the ContextForge plugin framework. "
+            "Install it with: pip install 'mellea[contextforge]'"
+        )
+
+    if _plugin_manager is None:
+        register_mellea_hooks()
+        # Reset PluginManager singleton state to ensure clean init
+        PluginManager.reset()
+        pm = PluginManager(
+            timeout=DEFAULT_PLUGIN_TIMEOUT,
+            hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,  # type: ignore[arg-type]
+            default_hook_policy=DEFAULT_HOOK_POLICY,
+        )
+        from mellea.helpers import _run_async_in_thread
+
+        _run_async_in_thread(pm.initialize())
+        _plugin_manager = pm
+        _plugins_enabled = True
+    return _plugin_manager
+
+
+async def initialize_plugins(
+    config_path: str | None = None,
+    *,
+    timeout: int = DEFAULT_PLUGIN_TIMEOUT,  # noqa: ASYNC109
+) -> Any:
+    """Initialize the PluginManager with Mellea hook registrations and optional YAML config.
+
+    Args:
+        config_path: Optional path to a YAML plugin configuration file.
+        timeout: Maximum execution time per plugin in seconds.
+    """
+    global _plugin_manager, _plugins_enabled
+
+    if not _HAS_PLUGIN_FRAMEWORK:
+        raise ImportError(
+            "Plugin system requires the ContextForge plugin framework. "
+            "Install it with: pip install 'mellea[contextforge]'"
+        )
+
+    register_mellea_hooks()
+    PluginManager.reset()
+    pm = PluginManager(
+        config_path or "",
+        timeout=timeout,
+        hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,  # type: ignore[arg-type]
+        default_hook_policy=DEFAULT_HOOK_POLICY,
+    )
+    await pm.initialize()
+    _plugin_manager = pm
+    _plugins_enabled = True
+    return pm
+
+
+async def shutdown_plugins() -> None:
+    """Shut down the PluginManager and reset all state."""
+    global _plugin_manager, _plugins_enabled, _session_tags
+
+    if _plugin_manager is not None:
+        await _plugin_manager.shutdown()
+    _plugin_manager = None
+    _plugins_enabled = False
+    _session_tags.clear()
+
+
+def track_session_plugin(session_id: str, plugin_name: str) -> None:
+    """Track a plugin as belonging to a session for later deregistration."""
+    _session_tags.setdefault(session_id, set()).add(plugin_name)
+
+
+def deregister_session_plugins(session_id: str) -> None:
+    """Deregister all plugins scoped to the given session."""
+    if not _plugins_enabled or _plugin_manager is None:
+        return
+
+    plugin_names = _session_tags.pop(session_id, set())
+    for name in plugin_names:
+        try:
+            _plugin_manager._registry.unregister(name)
+            logger.debug(
+                "Deregistered session plugin: %s (session=%s)", name, session_id
+            )
+        except Exception:
+            logger.debug("Plugin %s already unregistered", name, exc_info=True)
+
+
+async def invoke_hook(
+    hook_type: HookType,
+    payload: MelleaBasePayload,
+    *,
+    backend: Backend | None = None,
+    **context_fields: Any,
+) -> tuple[Any | None, MelleaBasePayload]:
+    """Invoke a hook if plugins are configured.
+
+    Returns ``(result, possibly-modified-payload)``.
+    If plugins are not configured, returns ``(None, original_payload)`` immediately.
+
+    Three layers of no-op guards ensure zero overhead when plugins are not configured:
+    1. ``_plugins_enabled`` boolean — single pointer dereference
+    2. ``has_hooks_for(hook_type)`` — skips when no plugin subscribes
+    3. Returns immediately when either guard fails
+    """
+    if not _plugins_enabled or _plugin_manager is None:
+        return None, payload
+
+    if not _plugin_manager.has_hooks_for(hook_type.value):
+        return None, payload
+
+    # Payloads are frozen — use model_copy to set dispatch-time fields
+    updates: dict[str, Any] = {"hook": hook_type.value}
+    payload = payload.model_copy(update=updates)
+
+    global_ctx = build_global_context(backend=backend, **context_fields)
+
+    result, _ = await _plugin_manager.invoke_hook(
+        hook_type=hook_type.value,
+        payload=payload,
+        global_context=global_ctx,
+        violations_as_exceptions=False,
+    )
+
+    if result and not result.continue_processing and result.violation:
+        v = result.violation
+        logger.warning(
+            "Plugin violation on %s: [%s] %s (plugin=%s)",
+            hook_type.value,
+            v.code,
+            v.reason,
+            v.plugin_name or "unknown",
+        )
+        raise PluginViolationError(
+            hook_type=hook_type.value,
+            reason=v.reason,
+            code=v.code,
+            plugin_name=v.plugin_name or "",
+        )
+
+    modified = (
+        result.modified_payload if result and result.modified_payload else payload
+    )
+    return result, modified
diff --git a/mellea/plugins/pluginset.py b/mellea/plugins/pluginset.py
new file mode 100644
index 000000000..d485ee65a
--- /dev/null
+++ b/mellea/plugins/pluginset.py
@@ -0,0 +1,93 @@
+"""PluginSet — composable groups of hooks and plugins."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from typing import Any
+
+
+class PluginSet:
+    """A named, composable group of hook functions and plugin instances.
+
+    PluginSets are inert containers — they do not register anything themselves.
+    Registration happens when they are passed to ``register()`` or
+    ``start_session(plugins=[...])``.
+
+    PluginSets can be nested: a PluginSet can contain other PluginSets.
+
+    PluginSets also support the context manager protocol for temporary activation::
+
+        with PluginSet("observability", [log_hook, audit_hook]):
+            result, ctx = instruct("Summarize this", ctx, backend)
+
+        # or async
+        async with PluginSet("guards", [safety_hook]):
+            result, ctx = await ainstruct("Generate code", ctx, backend)
+    """
+
+    def __init__(  # noqa: D107
+        self,
+        name: str,
+        items: list[Callable | Any | PluginSet],
+        *,
+        priority: int | None = None,
+    ):
+        self.name = name
+        self.items = items
+        self.priority = priority
+        self._scope_id: str | None = None
+
+    def flatten(self) -> list[tuple[Callable | Any, int | None]]:
+        """Recursively flatten nested PluginSets into ``(item, priority_override)`` pairs.
+
+        When this set has a priority, it overrides the priorities of all nested
+        items — including items inside nested ``PluginSet`` instances.
+        """
+        result: list[tuple[Callable | Any, int | None]] = []
+        for item in self.items:
+            if isinstance(item, PluginSet):
+                for sub_item, sub_prio in item.flatten():
+                    result.append(
+                        (
+                            sub_item,
+                            self.priority if self.priority is not None else sub_prio,
+                        )
+                    )
+            else:
+                result.append((item, self.priority))
+        return result
+
+    def __enter__(self) -> PluginSet:
+        """Register all plugins in this set for the duration of the ``with`` block."""
+        if self._scope_id is not None:
+            raise RuntimeError(
+                f"PluginSet {self.name!r} is already active as a context manager. "
+                "Concurrent or nested reuse of the same instance is not supported; "
+                "create a new PluginSet instance instead."
+            )
+        import uuid
+
+        from mellea.plugins.registry import register
+
+        self._scope_id = str(uuid.uuid4())
+        register(self, session_id=self._scope_id)
+        return self
+
+    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        """Deregister all plugins registered by this context manager entry."""
+        if self._scope_id is not None:
+            from mellea.plugins.manager import deregister_session_plugins
+
+            deregister_session_plugins(self._scope_id)
+            self._scope_id = None
+
+    async def __aenter__(self) -> PluginSet:
+        """Async variant — delegates to the synchronous ``__enter__``."""
+        return self.__enter__()
+
+    async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        """Async variant — delegates to the synchronous ``__exit__``."""
+        self.__exit__(exc_type, exc_val, exc_tb)
+
+    def __repr__(self) -> str:  # noqa: D105
+        return f"PluginSet({self.name!r}, {len(self.items)} items)"
diff --git a/mellea/plugins/policies.py b/mellea/plugins/policies.py
new file mode 100644
index 000000000..3b327cc1d
--- /dev/null
+++ b/mellea/plugins/policies.py
@@ -0,0 +1,84 @@
+"""Hook payload policies for Mellea hooks."""
+
+from __future__ import annotations
+
+from typing import Any
+
+try:
+    from cpex.framework.hooks.policies import HookPayloadPolicy
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+
+def _build_policies() -> dict[str, Any]:
+    """Build per-hook-type payload modification policies.
+
+    Mutability is enforced at **two layers**:
+
+    1. **Execution mode** (cpex) — only ``SEQUENTIAL`` and ``TRANSFORM`` plugins
+       can modify payloads.  ``AUDIT``, ``CONCURRENT``, and ``FIRE_AND_FORGET``
+       plugins have their modifications silently discarded by cpex regardless of
+       what this table says.
+
+    2. **Field-level policy** (this table) — for modes that *can* modify, this
+       table restricts *which* fields are writable.  cpex applies
+       ``HookPayloadPolicy`` after each plugin returns, accepting only changes
+       to listed fields and discarding the rest.
+
+    Hooks absent from this table are observe-only; with
+    ``DefaultHookPolicy.DENY`` (the Mellea default), any modification attempt
+    on an unlisted hook is rejected by cpex at runtime.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        return {}
+
+    return {
+        # Session Lifecycle
+        "session_pre_init": HookPayloadPolicy(
+            writable_fields=frozenset({"model_id", "model_options"})
+        ),
+        # session_post_init, session_reset, session_cleanup: observe-only
+        # Component Lifecycle
+        "component_pre_execute": HookPayloadPolicy(
+            writable_fields=frozenset(
+                {
+                    "requirements",
+                    "model_options",
+                    "format",
+                    "strategy",
+                    "tool_calls_enabled",
+                }
+            )
+        ),
+        # component_post_success, component_post_error: observe-only
+        # Generation Pipeline
+        "generation_pre_call": HookPayloadPolicy(
+            writable_fields=frozenset({"model_options", "tool_calls", "format"})
+        ),
+        # generation_post_call: observe-only
+        # Validation
+        "validation_pre_check": HookPayloadPolicy(
+            writable_fields=frozenset({"requirements", "model_options"})
+        ),
+        "validation_post_check": HookPayloadPolicy(
+            writable_fields=frozenset({"results", "all_validations_passed"})
+        ),
+        # Sampling Pipeline
+        "sampling_loop_start": HookPayloadPolicy(
+            writable_fields=frozenset({"loop_budget"})
+        ),
+        # sampling_iteration, sampling_repair, sampling_loop_end: observe-only
+        # Tool Execution
+        "tool_pre_invoke": HookPayloadPolicy(
+            writable_fields=frozenset({"model_tool_call"})
+        ),
+        "tool_post_invoke": HookPayloadPolicy(
+            writable_fields=frozenset({"tool_output"})
+        ),
+        # adapter_*, context_*, error_occurred: observe-only
+    }
+
+
+MELLEA_HOOK_PAYLOAD_POLICIES: dict[str, Any] = _build_policies()
diff --git a/mellea/plugins/registry.py b/mellea/plugins/registry.py
new file mode 100644
index 000000000..a8063e38a
--- /dev/null
+++ b/mellea/plugins/registry.py
@@ -0,0 +1,487 @@
+"""Plugin registration and helpers."""
+
+from __future__ import annotations
+
+import logging
+import uuid
+from collections.abc import Callable
+from typing import Any
+
+from mellea.plugins.base import PluginMeta
+from mellea.plugins.decorators import HookMeta
+from mellea.plugins.pluginset import PluginSet
+from mellea.plugins.types import PluginMode
+
+try:
+    from cpex.framework.base import Plugin
+    from cpex.framework.models import (
+        OnError as _CFOnError,
+        PluginConfig,
+        PluginMode as _CFPluginMode,
+        PluginResult,
+        PluginViolation,
+    )
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+logger = logging.getLogger(__name__)
+
+_MODE_MAP: dict[PluginMode, Any] = {}
+if _HAS_PLUGIN_FRAMEWORK:
+    _MODE_MAP = {
+        PluginMode.SEQUENTIAL: _CFPluginMode.SEQUENTIAL,
+        PluginMode.TRANSFORM: _CFPluginMode.TRANSFORM,
+        PluginMode.CONCURRENT: _CFPluginMode.CONCURRENT,
+        PluginMode.AUDIT: _CFPluginMode.AUDIT,
+        PluginMode.FIRE_AND_FORGET: _CFPluginMode.FIRE_AND_FORGET,
+    }
+
+
+def _map_mode(mode: PluginMode) -> Any:
+    """Map Mellea PluginMode to ContextForge PluginMode."""
+    return _MODE_MAP.get(mode, _MODE_MAP.get(PluginMode.SEQUENTIAL))
+
+
+def modify(payload: Any, **field_updates: Any) -> Any:
+    """Convenience helper for returning a modifying ``PluginResult``.
+
+    Creates an immutable copy of ``payload`` with ``field_updates`` applied and
+    wraps it in a ``PluginResult(continue_processing=True)``.  Only fields
+    listed in the hook's ``HookPayloadPolicy.writable_fields`` will be accepted
+    by the framework; changes to read-only fields are silently discarded.
+
+    Mirrors :func:`block` for the modification case::
+
+        # instead of:
+        modified = payload.model_copy(update={"model_output": new_mot})
+        return PluginResult(continue_processing=True, modified_payload=modified)
+
+        # write:
+        return modify(payload, model_output=new_mot)
+
+    Args:
+        payload: The original (frozen) payload received by the hook.
+        **field_updates: Fields to update on the payload copy.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        raise ImportError(
+            "modify() requires the ContextForge plugin framework. "
+            "Install it with: pip install 'mellea[contextforge]'"
+        )
+    return PluginResult(
+        continue_processing=True,
+        modified_payload=payload.model_copy(update=field_updates),
+    )
+
+
+def block(
+    reason: str,
+    *,
+    code: str = "",
+    description: str = "",
+    details: dict[str, Any] | None = None,
+) -> Any:
+    """Convenience helper for returning a blocking ``PluginResult``.
+
+    Args:
+        reason: Short reason for the violation.
+        code: Machine-readable violation code.
+        description: Longer description (defaults to ``reason``).
+        details: Additional structured details.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        raise ImportError(
+            "block() requires the ContextForge plugin framework. "
+            "Install it with: pip install 'mellea[contextforge]'"
+        )
+    return PluginResult(
+        continue_processing=False,
+        violation=PluginViolation(
+            reason=reason,
+            description=description or reason,
+            code=code,
+            details=details or {},
+        ),
+    )
+
+
+def register(
+    items: Callable | Any | PluginSet | list[Callable | Any | PluginSet],
+    *,
+    session_id: str | None = None,
+) -> None:
+    """Register plugins globally or for a specific session.
+
+    When ``session_id`` is ``None``, plugins are global (fire for all invocations).
+    When ``session_id`` is provided, plugins fire only within that session.
+
+    Accepts standalone ``@hook`` functions, ``@plugin``-decorated class instances,
+    ``MelleaPlugin`` instances, ``PluginSet`` instances, or lists thereof.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        raise ImportError(
+            "register() requires the ContextForge plugin framework. "
+            "Install it with: pip install 'mellea[contextforge]'"
+        )
+
+    from mellea.plugins.manager import ensure_plugin_manager
+
+    pm = ensure_plugin_manager()
+
+    if not isinstance(items, list):
+        items = [items]
+
+    for item in items:
+        if isinstance(item, PluginSet):
+            for flattened_item, priority_override in item.flatten():
+                _register_single(pm, flattened_item, session_id, priority_override)
+        else:
+            _register_single(pm, item, session_id, None)
+
+
+def _register_single(
+    pm: Any, item: Callable | Any, session_id: str | None, priority_override: int | None
+) -> None:
+    """Register a single hook function or plugin instance.
+
+    - Standalone functions with ``_mellea_hook_meta``: wrapped in ``_FunctionHookAdapter``
+    - ``@plugin``-decorated class instances: methods with ``_mellea_hook_meta`` discovered
+    - ``MelleaPlugin`` instances: registered directly
+    """
+    meta: HookMeta | None = getattr(item, "_mellea_hook_meta", None)
+    plugin_meta: PluginMeta | None = getattr(type(item), "_mellea_plugin_meta", None)
+
+    if meta is not None:
+        # Standalone @hook function
+        adapter = _FunctionHookAdapter(
+            item, session_id=session_id, priority_override=priority_override
+        )
+        pm._registry.register(adapter)
+        if session_id:
+            from mellea.plugins.manager import track_session_plugin
+
+            track_session_plugin(session_id, adapter.name)
+        logger.debug(
+            "Registered standalone hook: %s for %s",
+            f"{item.__module__}.{item.__qualname__}",
+            meta.hook_type,
+        )
+
+    elif plugin_meta is not None:
+        # @plugin-decorated class instance — register one adapter per @hook method
+        # so that each method's execution mode is respected independently.
+        plugin_module = f"{type(item).__module__}.{type(item).__qualname__}"
+        registered_any = False
+        for attr_name in dir(item):
+            if attr_name.startswith("_"):
+                continue
+            attr = getattr(item, attr_name, None)
+            if attr is None:
+                continue
+            hook_meta: HookMeta | None = getattr(attr, "_mellea_hook_meta", None)
+            if hook_meta is None:
+                continue
+            # Priority resolution: PluginSet override > @hook priority > Plugin class priority > 50
+            priority = (
+                priority_override
+                if priority_override is not None
+                else (
+                    hook_meta.priority
+                    if hook_meta.priority is not None
+                    else plugin_meta.priority
+                )
+            )
+            method_adapter = _MethodHookAdapter(
+                instance=item,
+                bound_method=attr,
+                hook_meta=hook_meta,
+                plugin_name=plugin_meta.name,
+                plugin_module=plugin_module,
+                priority=priority,
+                session_id=session_id,
+            )
+            pm._registry.register(method_adapter)
+            if session_id:
+                from mellea.plugins.manager import track_session_plugin
+
+                track_session_plugin(session_id, method_adapter.name)
+            registered_any = True
+        if registered_any:
+            logger.debug("Registered class plugin: %s", plugin_meta.name)
+        else:
+            logger.warning(
+                "Plugin %r has no @hook-decorated methods; nothing registered.",
+                plugin_meta.name,
+            )
+
+    elif isinstance(item, Plugin):
+        # MelleaPlugin / ContextForge Plugin instance
+        pm._registry.register(item)
+        if session_id:
+            from mellea.plugins.manager import track_session_plugin
+
+            track_session_plugin(session_id, item.name)
+        logger.debug("Registered MelleaPlugin: %s", item.name)
+
+    else:
+        raise TypeError(
+            f"Cannot register {item!r}: expected a @hook-decorated function, "
+            f"a @plugin-decorated class instance, or a MelleaPlugin instance."
+        )
+
+
+class _FunctionHookAdapter(Plugin):
+    """Adapts a standalone ``@hook``-decorated function into a ContextForge Plugin."""
+
+    def __init__(
+        self,
+        fn: Callable,
+        session_id: str | None = None,
+        priority_override: int | None = None,
+    ):
+        meta: HookMeta = fn._mellea_hook_meta  # type: ignore[attr-defined]
+        priority = (
+            priority_override
+            if priority_override is not None
+            else (meta.priority if meta.priority is not None else 50)
+        )
+        config = PluginConfig(
+            name=f"{fn.__module__}.{fn.__qualname__}",
+            kind=f"{fn.__module__}.{fn.__qualname__}",
+            hooks=[meta.hook_type],
+            mode=_map_mode(meta.mode),
+            priority=priority,
+            on_error=_CFOnError.IGNORE,
+        )
+        super().__init__(config)
+        self._fn = fn
+        self._session_id = session_id
+
+    async def initialize(self) -> None:
+        pass
+
+    async def shutdown(self) -> None:
+        pass
+
+    # The hook method is discovered by convention: method name == hook_type.
+    # We dynamically add it so ContextForge's HookRef can find it.
+    def __getattr__(self, name: str) -> Any:
+        meta: HookMeta | None = getattr(self._fn, "_mellea_hook_meta", None)
+        if meta and name == meta.hook_type:
+            return self._invoke
+        raise AttributeError(
+            f"'{type(self).__name__}' object has no attribute '{name}'"
+        )
+
+    async def _invoke(self, payload: Any, context: Any) -> Any:
+        result = await self._fn(payload, context)
+        if result is None:
+            return PluginResult(continue_processing=True)
+        return result
+
+
+class _MethodHookAdapter(Plugin):
+    """Adapts a single ``@hook``-decorated bound method from a ``Plugin`` class.
+
+    Each ``@hook`` method on a ``@plugin``-decorated class gets its own adapter
+    so that per-method execution modes (``SEQUENTIAL``, ``FIRE_AND_FORGET``, etc.)
+    are respected.  The adapter name is ``"<plugin_name>.<hook_type>"``.
+
+    Note: ``initialize()`` and ``shutdown()`` delegate to the underlying class
+    instance and may be called once per registered hook method.  Make them
+    idempotent when using the ``Plugin`` base class with multiple hook methods.
+    """
+
+    def __init__(
+        self,
+        instance: Any,
+        bound_method: Callable,
+        hook_meta: HookMeta,
+        plugin_name: str,
+        plugin_module: str,
+        priority: int,
+        session_id: str | None = None,
+    ):
+        hook_val = getattr(hook_meta.hook_type, "value", hook_meta.hook_type)
+        adapter_name = f"{plugin_name}.{hook_val}"
+        config = PluginConfig(
+            name=adapter_name,
+            kind=f"{plugin_module}.{hook_val}",
+            hooks=[hook_meta.hook_type],
+            mode=_map_mode(hook_meta.mode),
+            priority=priority,
+            on_error=_CFOnError.IGNORE,
+        )
+        super().__init__(config)
+        self._instance = instance
+        self._bound_method = bound_method
+        self._session_id = session_id
+
+    async def initialize(self) -> None:
+        init = getattr(self._instance, "initialize", None)
+        if init and callable(init):
+            await init()
+
+    async def shutdown(self) -> None:
+        shut = getattr(self._instance, "shutdown", None)
+        if shut and callable(shut):
+            await shut()
+
+    def __getattr__(self, name: str) -> Any:
+        if self._config.hooks and name == self._config.hooks[0]:
+            return self._invoke
+        raise AttributeError(
+            f"'{type(self).__name__}' object has no attribute '{name}'"
+        )
+
+    async def _invoke(self, payload: Any, context: Any) -> Any:
+        result = await self._bound_method(payload, context)
+        if result is None:
+            return PluginResult(continue_processing=True)
+        return result
+
+
+class _PluginScope:
+    """Context manager returned by :func:`plugin_scope`.
+
+    Supports both synchronous and asynchronous ``with`` statements.
+    """
+
+    def __init__(self, items: list[Callable | Any | PluginSet]) -> None:
+        self._items = items
+        self._scope_id: str | None = None
+
+    def _activate(self) -> None:
+        self._scope_id = str(uuid.uuid4())
+        register(self._items, session_id=self._scope_id)
+
+    def _deactivate(self) -> None:
+        if self._scope_id is not None:
+            from mellea.plugins.manager import deregister_session_plugins
+
+            deregister_session_plugins(self._scope_id)
+            self._scope_id = None
+
+    def __enter__(self) -> _PluginScope:
+        self._activate()
+        return self
+
+    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        self._deactivate()
+
+    async def __aenter__(self) -> _PluginScope:
+        self._activate()
+        return self
+
+    async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        self._deactivate()
+
+
+def _unregister_single(pm: Any, item: Callable | Any) -> None:
+    """Unregister a single hook function or plugin instance by its registered name."""
+    meta: HookMeta | None = getattr(item, "_mellea_hook_meta", None)
+    plugin_meta: PluginMeta | None = getattr(type(item), "_mellea_plugin_meta", None)
+
+    if meta is not None:
+        # Standalone @hook function — name matches _FunctionHookAdapter
+        name = f"{item.__module__}.{item.__qualname__}"
+        try:
+            pm._registry.unregister(name)
+            logger.debug("Unregistered plugin: %s", name)
+        except Exception:
+            logger.debug("Plugin %s was not registered", name, exc_info=True)
+    elif plugin_meta is not None:
+        # @plugin-decorated class — one adapter per @hook method, named "<plugin>.<hook_type>"
+        for attr_name in dir(item):
+            if attr_name.startswith("_"):
+                continue
+            attr = getattr(item, attr_name, None)
+            if attr is None:
+                continue
+            hook_meta: HookMeta | None = getattr(attr, "_mellea_hook_meta", None)
+            if hook_meta is None:
+                continue
+            hook_val = getattr(hook_meta.hook_type, "value", hook_meta.hook_type)
+            adapter_name = f"{plugin_meta.name}.{hook_val}"
+            try:
+                pm._registry.unregister(adapter_name)
+                logger.debug("Unregistered plugin method: %s", adapter_name)
+            except Exception:
+                logger.debug(
+                    "Plugin %s was not registered", adapter_name, exc_info=True
+                )
+    elif isinstance(item, Plugin):
+        name = item.name
+        try:
+            pm._registry.unregister(name)
+            logger.debug("Unregistered plugin: %s", name)
+        except Exception:
+            logger.debug("Plugin %s was not registered", name, exc_info=True)
+    else:
+        raise TypeError(
+            f"Cannot unregister {item!r}: expected a @hook-decorated function, "
+            f"a Plugin subclass instance, or a MelleaPlugin instance."
+        )
+
+
+def unregister(
+    items: Callable | Any | PluginSet | list[Callable | Any | PluginSet],
+) -> None:
+    """Unregister globally-registered plugins.
+
+    Accepts the same items as :func:`register`: standalone ``@hook``-decorated
+    functions, ``Plugin`` subclass instances, ``MelleaPlugin`` instances,
+    ``PluginSet`` instances, or lists thereof.
+
+    Silently ignores items that are not currently registered.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        raise ImportError(
+            "unregister() requires the ContextForge plugin framework. "
+            "Install it with: pip install 'mellea[contextforge]'"
+        )
+
+    from mellea.plugins.manager import get_plugin_manager
+
+    pm = get_plugin_manager()
+    if pm is None:
+        return
+
+    if not isinstance(items, list):
+        items = [items]
+
+    for item in items:
+        if isinstance(item, PluginSet):
+            for flattened_item, _ in item.flatten():
+                _unregister_single(pm, flattened_item)
+        else:
+            _unregister_single(pm, item)
+
+
+def plugin_scope(*items: Callable | Any | PluginSet) -> _PluginScope:
+    """Return a context manager that temporarily registers plugins for a block of code.
+
+    Accepts the same items as :func:`register`: standalone ``@hook``-decorated
+    functions, ``@plugin``-decorated class instances, ``MelleaPlugin`` instances,
+    and :class:`~mellea.plugins.PluginSet` instances — or any mix thereof.
+
+    Supports both synchronous and asynchronous ``with`` statements::
+
+        # Sync functional API
+        with plugin_scope(log_hook, audit_plugin):
+            result, ctx = instruct("Summarize this", ctx, backend)
+
+        # Async functional API
+        async with plugin_scope(safety_hook, rate_limit_plugin):
+            result, ctx = await ainstruct("Generate code", ctx, backend)
+
+    Args:
+        *items: One or more plugins to register for the duration of the block.
+
+    Returns:
+        A context manager that registers the given plugins on entry and
+        deregisters them on exit.
+    """
+    return _PluginScope(list(items))
diff --git a/mellea/plugins/types.py b/mellea/plugins/types.py
new file mode 100644
index 000000000..107c0a97d
--- /dev/null
+++ b/mellea/plugins/types.py
@@ -0,0 +1,151 @@
+"""Mellea hook type enum and hook registration."""
+
+from __future__ import annotations
+
+from enum import Enum
+from typing import Any
+
+try:
+    from cpex.framework.hooks.registry import get_hook_registry
+    from cpex.framework.models import PluginResult
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+
+class PluginMode(str, Enum):
+    """Execution modes for Mellea plugins.
+
+    Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
+    """
+
+    SEQUENTIAL = "sequential"
+    TRANSFORM = "transform"
+    CONCURRENT = "concurrent"
+    AUDIT = "audit"
+    FIRE_AND_FORGET = "fire_and_forget"
+
+
+class HookType(str, Enum):
+    """All Mellea hook types."""
+
+    # Session Lifecycle
+    SESSION_PRE_INIT = "session_pre_init"
+    SESSION_POST_INIT = "session_post_init"
+    SESSION_RESET = "session_reset"
+    SESSION_CLEANUP = "session_cleanup"
+
+    # Component Lifecycle
+    COMPONENT_PRE_EXECUTE = "component_pre_execute"
+    COMPONENT_POST_SUCCESS = "component_post_success"
+    COMPONENT_POST_ERROR = "component_post_error"
+
+    # Generation Pipeline
+    GENERATION_PRE_CALL = "generation_pre_call"
+    GENERATION_POST_CALL = "generation_post_call"
+
+    # Validation
+    VALIDATION_PRE_CHECK = "validation_pre_check"
+    VALIDATION_POST_CHECK = "validation_post_check"
+
+    # Sampling Pipeline
+    SAMPLING_LOOP_START = "sampling_loop_start"
+    SAMPLING_ITERATION = "sampling_iteration"
+    SAMPLING_REPAIR = "sampling_repair"
+    SAMPLING_LOOP_END = "sampling_loop_end"
+
+    # Tool Execution
+    TOOL_PRE_INVOKE = "tool_pre_invoke"
+    TOOL_POST_INVOKE = "tool_post_invoke"
+
+
+# Lazily populated mapping: hook_type -> (payload_class, result_class).
+# Populated by _build_hook_registry() on first call to _register_mellea_hooks().
+_HOOK_REGISTRY: dict[str, tuple[type, type]] = {}
+
+
+def _build_hook_registry() -> dict[str, tuple[type, type]]:
+    """Build the mapping from hook types to (payload_class, PluginResult).
+
+    Imports payload classes lazily to avoid circular imports.
+    """
+    from mellea.plugins.hooks.component import (
+        ComponentPostErrorPayload,
+        ComponentPostSuccessPayload,
+        ComponentPreExecutePayload,
+    )
+    from mellea.plugins.hooks.generation import (
+        GenerationPostCallPayload,
+        GenerationPreCallPayload,
+    )
+    from mellea.plugins.hooks.sampling import (
+        SamplingIterationPayload,
+        SamplingLoopEndPayload,
+        SamplingLoopStartPayload,
+        SamplingRepairPayload,
+    )
+    from mellea.plugins.hooks.session import (
+        SessionCleanupPayload,
+        SessionPostInitPayload,
+        SessionPreInitPayload,
+        SessionResetPayload,
+    )
+    from mellea.plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
+    from mellea.plugins.hooks.validation import (
+        ValidationPostCheckPayload,
+        ValidationPreCheckPayload,
+    )
+
+    return {
+        # Session Lifecycle
+        HookType.SESSION_PRE_INIT.value: (SessionPreInitPayload, PluginResult),
+        HookType.SESSION_POST_INIT.value: (SessionPostInitPayload, PluginResult),
+        HookType.SESSION_RESET.value: (SessionResetPayload, PluginResult),
+        HookType.SESSION_CLEANUP.value: (SessionCleanupPayload, PluginResult),
+        # Component Lifecycle
+        HookType.COMPONENT_PRE_EXECUTE.value: (
+            ComponentPreExecutePayload,
+            PluginResult,
+        ),
+        HookType.COMPONENT_POST_SUCCESS.value: (
+            ComponentPostSuccessPayload,
+            PluginResult,
+        ),
+        HookType.COMPONENT_POST_ERROR.value: (ComponentPostErrorPayload, PluginResult),
+        # Generation Pipeline
+        HookType.GENERATION_PRE_CALL.value: (GenerationPreCallPayload, PluginResult),
+        HookType.GENERATION_POST_CALL.value: (GenerationPostCallPayload, PluginResult),
+        # Validation
+        HookType.VALIDATION_PRE_CHECK.value: (ValidationPreCheckPayload, PluginResult),
+        HookType.VALIDATION_POST_CHECK.value: (
+            ValidationPostCheckPayload,
+            PluginResult,
+        ),
+        # Sampling Pipeline
+        HookType.SAMPLING_LOOP_START.value: (SamplingLoopStartPayload, PluginResult),
+        HookType.SAMPLING_ITERATION.value: (SamplingIterationPayload, PluginResult),
+        HookType.SAMPLING_REPAIR.value: (SamplingRepairPayload, PluginResult),
+        HookType.SAMPLING_LOOP_END.value: (SamplingLoopEndPayload, PluginResult),
+        # Tool Execution
+        HookType.TOOL_PRE_INVOKE.value: (ToolPreInvokePayload, PluginResult),
+        HookType.TOOL_POST_INVOKE.value: (ToolPostInvokePayload, PluginResult),
+    }
+
+
+def register_mellea_hooks() -> None:
+    """Register all Mellea hook types with the ContextForge HookRegistry.
+
+    Idempotent — skips already-registered hook types.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        return
+
+    global _HOOK_REGISTRY
+    if not _HOOK_REGISTRY:
+        _HOOK_REGISTRY = _build_hook_registry()
+
+    registry: Any = get_hook_registry()
+    for hook_type, (payload_cls, result_cls) in _HOOK_REGISTRY.items():
+        if not registry.is_registered(hook_type):
+            registry.register_hook(hook_type, payload_cls, result_cls)
diff --git a/mellea/stdlib/components/instruction.py b/mellea/stdlib/components/instruction.py
index 32a8a0dc1..288d9e2d8 100644
--- a/mellea/stdlib/components/instruction.py
+++ b/mellea/stdlib/components/instruction.py
@@ -47,6 +47,7 @@ def __init__(
         requirements = [] if requirements is None else requirements
         icl_examples = [] if icl_examples is None else icl_examples
         grounding_context = dict() if grounding_context is None else grounding_context
+
         # Apply templates. All inputs must be strings if provided.
         if user_variables is not None:
             if description is not None:
diff --git a/mellea/stdlib/components/mify.py b/mellea/stdlib/components/mify.py
index 2ef6baa31..c54f16056 100644
--- a/mellea/stdlib/components/mify.py
+++ b/mellea/stdlib/components/mify.py
@@ -400,8 +400,10 @@ def _get_non_duplicate_members(
         inspect.getmembers(
             obj,
             # Checks for ismethod or isfunction because of the methods added from the MifiedProtocol.
-            predicate=lambda x: (inspect.ismethod(x) or inspect.isfunction(x))
-            and x.__name__ not in dict(inspect.getmembers(check_duplicates)).keys(),
+            predicate=lambda x: (
+                (inspect.ismethod(x) or inspect.isfunction(x))
+                and x.__name__ not in dict(inspect.getmembers(check_duplicates)).keys()
+            ),
         )
     )
     return members
@@ -424,8 +426,9 @@ def _get_non_duplicate_fields(
         if k not in dict(
             inspect.getmembers(
                 check_duplicates,
-                predicate=lambda x: not inspect.isfunction(x)
-                and not inspect.ismethod(x),
+                predicate=lambda x: (
+                    not inspect.isfunction(x) and not inspect.ismethod(x)
+                ),
             )
         ):
             narrowed[k] = v
diff --git a/mellea/stdlib/functional.py b/mellea/stdlib/functional.py
index b2e1b4290..41aa1fbf7 100644
--- a/mellea/stdlib/functional.py
+++ b/mellea/stdlib/functional.py
@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import asyncio
+import time
 from collections.abc import Coroutine
 from typing import Any, Literal, overload
 
@@ -19,6 +20,7 @@
     GenerateLog,
     ImageBlock,
     ModelOutputThunk,
+    ModelToolCall,
     Requirement,
     S,
     SamplingResult,
@@ -26,6 +28,9 @@
     ValidationResult,
 )
 from ..helpers import _run_async_in_thread
+from ..plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
+from ..plugins.manager import has_plugins, invoke_hook
+from ..plugins.types import HookType
 from ..telemetry import set_span_attribute, trace_application
 from .components import Instruction, Message, MObjectProtocol, ToolMessage, mify
 from .context import SimpleContext
@@ -476,6 +481,9 @@ async def aact(
     Returns:
         A (ModelOutputThunk, Context) if `return_sampling_results` is `False`, else returns a `SamplingResult`.
     """
+    import time
+    import traceback
+
     with trace_application(
         "aact",
         action_type=action.__class__.__name__,
@@ -491,96 +499,164 @@ async def aact(
                 "\nSee the async section of the tutorial: https://github.com/generative-computing/mellea/blob/main/docs/tutorial.md#chapter-12-asynchronicity"
             )
 
-        sampling_result: SamplingResult | None = None
-        generate_logs: list[GenerateLog] = []
-
-        if return_sampling_results:
-            assert strategy is not None, (
-                "Must provide a SamplingStrategy when return_sampling_results==True"
-            )
+        _component_type_name = type(action).__name__
 
-        if strategy is None:
-            # Only use the strategy if one is provided. Add a warning if requirements were passed in though.
-            if requirements is not None and len(requirements) > 0:
-                FancyLogger.get_logger().warning(
-                    "Calling the function with NO strategy BUT requirements. No requirement is being checked!"
-                )
+        # --- component_pre_execute hook ---
+        if has_plugins(HookType.COMPONENT_PRE_EXECUTE):
+            from ..plugins.hooks.component import ComponentPreExecutePayload
 
-            result, new_ctx = await backend.generate_from_context(
-                action,
-                ctx=context,
+            pre_exec_payload = ComponentPreExecutePayload(
+                component_type=_component_type_name,
+                action=action,
+                requirements=requirements or [],
+                model_options=model_options or {},
                 format=format,
-                model_options=model_options,
-                tool_calls=tool_calls,
+                strategy=strategy,
+                tool_calls_enabled=tool_calls,
             )
-            await result.avalue()
+            _, pre_exec_payload = await invoke_hook(
+                HookType.COMPONENT_PRE_EXECUTE, pre_exec_payload, backend=backend
+            )
+            strategy = pre_exec_payload.strategy or strategy
+            requirements = pre_exec_payload.requirements or requirements
+            model_options = pre_exec_payload.model_options or model_options
+            format = pre_exec_payload.format
+            tool_calls = pre_exec_payload.tool_calls_enabled
 
-            # ._generate_log should never be None after generation.
-            assert result._generate_log is not None
-            result._generate_log.is_final_result = True
-            generate_logs.append(result._generate_log)
+        t0 = time.monotonic()
 
-        else:
-            # Always sample if a strategy is provided, even if no requirements were provided.
-            # Some sampling strategies don't use requirements or set them when instantiated.
-
-            sampling_result = await strategy.sample(
-                action,
-                context=context,
-                backend=backend,
-                requirements=requirements,
-                validation_ctx=None,
-                format=format,
-                model_options=model_options,
-                tool_calls=tool_calls,
-            )
+        try:
+            sampling_result: SamplingResult | None = None
+            generate_logs: list[GenerateLog] = []
 
-            assert sampling_result.sample_generations is not None
-            for result in sampling_result.sample_generations:
-                assert (
-                    result._generate_log is not None
-                )  # Cannot be None after generation.
+            if return_sampling_results:
+                assert strategy is not None, (
+                    "Must provide a SamplingStrategy when return_sampling_results==True"
+                )
+
+            if strategy is None:
+                # Only use the strategy if one is provided. Add a warning if requirements were passed in though.
+                if requirements is not None and len(requirements) > 0:
+                    FancyLogger.get_logger().warning(
+                        "Calling the function with NO strategy BUT requirements. No requirement is being checked!"
+                    )
+
+                result, new_ctx = await backend.generate_from_context(
+                    action,
+                    ctx=context,
+                    format=format,
+                    model_options=model_options,
+                    tool_calls=tool_calls,
+                )
+                await result.avalue()
+
+                # ._generate_log should never be None after generation.
+                assert result._generate_log is not None
+                result._generate_log.is_final_result = True
                 generate_logs.append(result._generate_log)
 
-            new_ctx = sampling_result.result_ctx
-            result = sampling_result.result
-            assert sampling_result.result._generate_log is not None
-            assert sampling_result.result._generate_log.is_final_result, (
-                "generate logs from the final result returned by the sampling strategy must be marked as final"
-            )
+            else:
+                # Always sample if a strategy is provided, even if no requirements were provided.
+                # Some sampling strategies don't use requirements or set them when instantiated.
+
+                sampling_result = await strategy.sample(
+                    action,
+                    context=context,
+                    backend=backend,
+                    requirements=requirements,
+                    validation_ctx=None,
+                    format=format,
+                    model_options=model_options,
+                    tool_calls=tool_calls,
+                )
 
-        # Add span attributes for the result
-        set_span_attribute(span, "num_generate_logs", len(generate_logs))
-        if sampling_result:
-            set_span_attribute(span, "sampling_success", bool(sampling_result.result))
+                assert sampling_result.sample_generations is not None
+                for result in sampling_result.sample_generations:
+                    assert (
+                        result._generate_log is not None
+                    )  # Cannot be None after generation.
+                    generate_logs.append(result._generate_log)
+
+                new_ctx = sampling_result.result_ctx
+                result = sampling_result.result
+                assert sampling_result.result._generate_log is not None
+                assert sampling_result.result._generate_log.is_final_result, (
+                    "generate logs from the final result returned by the sampling strategy must be marked as final"
+                )
 
-        # Log the model response (truncated for large responses)
-        try:
-            response_value = (
-                str(result.value)
-                if hasattr(result, "value") and result.value
-                else str(result)
-            )
-            # Truncate to 500 chars to avoid overwhelming trace storage
-            if len(response_value) > 500:
-                response_value = response_value[:500] + "..."
-            set_span_attribute(span, "response", response_value)
-            set_span_attribute(
-                span,
-                "response_length",
-                len(str(result.value) if hasattr(result, "value") else str(result)),
-            )
-        except Exception:
-            # If we can't get the response, don't fail the trace
-            pass
-
-        if return_sampling_results:
-            assert (
-                sampling_result is not None
-            )  # Needed for the type checker but should never happen.
-            return sampling_result
-        else:
-            return result, new_ctx
+            # Add span attributes for the result
+            set_span_attribute(span, "num_generate_logs", len(generate_logs))
+            if sampling_result:
+                set_span_attribute(
+                    span, "sampling_success", bool(sampling_result.result)
+                )
+
+            # Log the model response (truncated for large responses)
+            try:
+                response_value = (
+                    str(result.value)
+                    if hasattr(result, "value") and result.value
+                    else str(result)
+                )
+                # Truncate to 500 chars to avoid overwhelming trace storage
+                if len(response_value) > 500:
+                    response_value = response_value[:500] + "..."
+                set_span_attribute(span, "response", response_value)
+                set_span_attribute(
+                    span,
+                    "response_length",
+                    len(str(result.value) if hasattr(result, "value") else str(result)),
+                )
+            except Exception:
+                # If we can't get the response, don't fail the trace
+                pass
+
+            # --- component_post_success hook ---
+            if has_plugins(HookType.COMPONENT_POST_SUCCESS):
+                from ..plugins.hooks.component import ComponentPostSuccessPayload
+
+                success_payload = ComponentPostSuccessPayload(
+                    component_type=_component_type_name,
+                    action=action,
+                    result=result,
+                    context_before=context,
+                    context_after=new_ctx,
+                    generate_log=generate_logs[-1] if generate_logs else None,
+                    sampling_results=sampling_result.sample_generations
+                    if sampling_result
+                    else None,
+                    latency_ms=int((time.monotonic() - t0) * 1000),
+                )
+                await invoke_hook(
+                    HookType.COMPONENT_POST_SUCCESS, success_payload, backend=backend
+                )
+
+            if return_sampling_results:
+                assert (
+                    sampling_result is not None
+                )  # Needed for the type checker but should never happen.
+                return sampling_result
+            else:
+                return result, new_ctx
+
+        except Exception as exc:
+            # --- component_post_error hook ---
+            if has_plugins(HookType.COMPONENT_POST_ERROR):
+                from ..plugins.hooks.component import ComponentPostErrorPayload
+
+                error_payload = ComponentPostErrorPayload(
+                    component_type=_component_type_name,
+                    action=action,
+                    error=exc,
+                    error_type=type(exc).__name__,
+                    stack_trace=traceback.format_exc(),
+                    context=context,
+                    model_options=model_options or {},
+                )
+                await invoke_hook(
+                    HookType.COMPONENT_POST_ERROR, error_payload, backend=backend
+                )
+            raise
 
 
 @overload
@@ -759,6 +835,22 @@ async def avalidate(
             validation_target_ctx = validation_target_ctx.add(input)
         validation_target_ctx = validation_target_ctx.add(output)
 
+    # --- validation_pre_check hook ---
+    if has_plugins(HookType.VALIDATION_PRE_CHECK):
+        from ..plugins.hooks.validation import ValidationPreCheckPayload
+
+        pre_payload = ValidationPreCheckPayload(
+            requirements=reqs,
+            target=output,
+            context=validation_target_ctx,
+            model_options=model_options or {},
+        )
+        _, pre_payload = await invoke_hook(
+            HookType.VALIDATION_PRE_CHECK, pre_payload, backend=backend
+        )
+        reqs = pre_payload.requirements
+        model_options = pre_payload.model_options or model_options
+
     rvs: list[ValidationResult] = []
     coroutines: list[Coroutine[Any, Any, ValidationResult]] = []
 
@@ -787,6 +879,22 @@ async def avalidate(
                 #       up with GenerateLogs.
                 generate_logs.append(None)  # type: ignore
 
+    # --- validation_post_check hook ---
+    if has_plugins(HookType.VALIDATION_POST_CHECK):
+        from ..plugins.hooks.validation import ValidationPostCheckPayload
+
+        post_payload = ValidationPostCheckPayload(
+            requirements=reqs,
+            results=rvs,
+            all_validations_passed=all(bool(r) for r in rvs),
+            passed_count=sum(1 for r in rvs if bool(r)),
+            failed_count=sum(1 for r in rvs if not bool(r)),
+        )
+        _, post_payload = await invoke_hook(
+            HookType.VALIDATION_POST_CHECK, post_payload, backend=backend
+        )
+        rvs = post_payload.results
+
     return rvs
 
 
@@ -874,7 +982,7 @@ async def atransform(
         tool_calls=True,
     )
 
-    tools = _call_tools(transformed, backend)
+    tools = await _acall_tools(transformed, backend)
 
     # Transform only supports calling one tool call since it cannot currently synthesize multiple outputs.
     # Attempt to choose the best one to call.
@@ -944,26 +1052,83 @@ def _call_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]
     Returns:
         list[ToolMessage]: A list of tool messages that can be empty.
     """
-    # There might be multiple tool calls returned.
+    return _run_async_in_thread(_acall_tools(result, backend))
+
+
+async def _acall_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]:
+    """Call all the tools requested in a result's tool calls object.
+
+    Call tools with tool_pre_invoke / tool_post_invoke hook support.
+
+    Returns:
+        list[ToolMessage]: A list of tool messages that can be empty.
+    """
     outputs: list[ToolMessage] = []
     tool_calls = result.tool_calls
-    if tool_calls:
-        # Call the tools and decide what to do.
-        for name, tool in tool_calls.items():
-            try:
-                output = tool.call_func()
-            except Exception as e:
-                output = e
-
-            # Default to the output. Attempt to properly print it. If that doesn't result in a str,
-            # stringify it.
-            content = str(output)
-            if isinstance(backend, FormatterBackend):
-                content = backend.formatter.print(output)  # type: ignore
-                content = str(content)
-
-            outputs.append(
-                ToolMessage(
+    if not tool_calls:
+        return outputs
+
+    for name, tool in tool_calls.items():
+        # --- tool_pre_invoke ---
+        if has_plugins(HookType.TOOL_PRE_INVOKE):
+            pre_payload = ToolPreInvokePayload(model_tool_call=tool)
+            _, pre_payload = await invoke_hook(
+                HookType.TOOL_PRE_INVOKE, pre_payload, backend=backend
+            )
+            if pre_payload.model_tool_call is not tool and isinstance(
+                pre_payload.model_tool_call, ModelToolCall
+            ):
+                tool = pre_payload.model_tool_call
+
+        # --- execute the tool ---
+        t0 = time.monotonic()
+        success = True
+        error: Exception | None = None
+        try:
+            output = tool.call_func()
+        except Exception as e:
+            output = e
+            success = False
+            error = e
+        latency_ms = int((time.monotonic() - t0) * 1000)
+
+        # Default to the output. Attempt to properly print it. If that doesn't result in a str,
+        # stringify it.
+        content = str(output)
+        if isinstance(backend, FormatterBackend):
+            content = backend.formatter.print(output)  # type: ignore
+            content = str(content)
+
+        tool_msg = ToolMessage(
+            role="tool",
+            content=content,
+            tool_output=output,
+            name=name,
+            args=tool.args,
+            tool=tool,
+        )
+
+        # --- tool_post_invoke ---
+        if has_plugins(HookType.TOOL_POST_INVOKE):
+            post_payload = ToolPostInvokePayload(
+                model_tool_call=tool,
+                tool_output=output,
+                tool_message=tool_msg,
+                execution_time_ms=latency_ms,
+                success=success,
+                error=error,
+            )
+            _, post_payload = await invoke_hook(
+                HookType.TOOL_POST_INVOKE, post_payload, backend=backend
+            )
+            # If a plugin modified tool_output, reformat and rebuild the ToolMessage
+            if post_payload.tool_output is not output:
+                output = post_payload.tool_output
+                content = str(output)
+                if isinstance(backend, FormatterBackend):
+                    content = backend.formatter.print(output)  # type: ignore
+                    content = str(content)
+                tool_msg = ToolMessage(
                     role="tool",
                     content=content,
                     tool_output=output,
@@ -971,5 +1136,7 @@ def _call_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]
                     args=tool.args,
                     tool=tool,
                 )
-            )
+
+        outputs.append(tool_msg)
+
     return outputs
diff --git a/mellea/stdlib/sampling/base.py b/mellea/stdlib/sampling/base.py
index 6b8aef4a8..5c022c531 100644
--- a/mellea/stdlib/sampling/base.py
+++ b/mellea/stdlib/sampling/base.py
@@ -18,6 +18,8 @@
     SamplingStrategy,
     ValidationResult,
 )
+from ...plugins.manager import has_plugins, invoke_hook
+from ...plugins.types import HookType
 from ...stdlib import functional as mfuncs
 from ..components import Instruction, Message
 from ..context import ChatContext
@@ -146,10 +148,28 @@ async def sample(
         reqs = list(set(reqs))
 
         loop_count = 0
+
+        # --- sampling_loop_start hook ---
+        effective_loop_budget = self.loop_budget
+        if has_plugins(HookType.SAMPLING_LOOP_START):
+            from ...plugins.hooks.sampling import SamplingLoopStartPayload
+
+            start_payload = SamplingLoopStartPayload(
+                strategy_name=type(self).__name__,
+                action=action,
+                context=context,
+                requirements=reqs,
+                loop_budget=self.loop_budget,
+            )
+            _, start_payload = await invoke_hook(
+                HookType.SAMPLING_LOOP_START, start_payload, backend=backend
+            )
+            effective_loop_budget = start_payload.loop_budget
+
         loop_budget_range_iterator = (
-            tqdm.tqdm(range(self.loop_budget))  # type: ignore
+            tqdm.tqdm(range(effective_loop_budget))  # type: ignore
             if show_progress
-            else range(self.loop_budget)  # type: ignore
+            else range(effective_loop_budget)  # type: ignore
         )
 
         next_action = deepcopy(action)
@@ -197,14 +217,50 @@ async def sample(
             sampled_actions.append(next_action)
             sample_contexts.append(result_ctx)
 
+            all_validations_passed = all(bool(s[1]) for s in constraint_scores)
+
+            # --- sampling_iteration hook ---
+            if has_plugins(HookType.SAMPLING_ITERATION):
+                from ...plugins.hooks.sampling import SamplingIterationPayload
+
+                iter_payload = SamplingIterationPayload(
+                    iteration=loop_count,
+                    action=next_action,
+                    result=result,
+                    validation_results=constraint_scores,
+                    all_validations_passed=all_validations_passed,
+                    valid_count=sum(1 for s in constraint_scores if bool(s[1])),
+                    total_count=len(constraint_scores),
+                )
+                await invoke_hook(
+                    HookType.SAMPLING_ITERATION, iter_payload, backend=backend
+                )
+
             # if all vals are true -- break and return success
-            if all(bool(s[1]) for s in constraint_scores):
+            if all_validations_passed:
                 flog.info("SUCCESS")
                 assert (
                     result._generate_log is not None
                 )  # Cannot be None after generation.
                 result._generate_log.is_final_result = True
 
+                # --- sampling_loop_end hook (success) ---
+                if has_plugins(HookType.SAMPLING_LOOP_END):
+                    from ...plugins.hooks.sampling import SamplingLoopEndPayload
+
+                    end_payload = SamplingLoopEndPayload(
+                        success=True,
+                        iterations_used=loop_count,
+                        final_result=result,
+                        final_action=next_action,
+                        final_context=result_ctx,
+                        all_results=sampled_results,
+                        all_validations=sampled_scores,
+                    )
+                    await invoke_hook(
+                        HookType.SAMPLING_LOOP_END, end_payload, backend=backend
+                    )
+
                 # SUCCESS !!!!
                 return SamplingResult(
                     result_index=len(sampled_results) - 1,
@@ -239,6 +295,23 @@ async def sample(
                 sampled_scores,
             )
 
+            # --- sampling_repair hook ---
+            if has_plugins(HookType.SAMPLING_REPAIR):
+                from ...plugins.hooks.sampling import SamplingRepairPayload
+
+                repair_payload = SamplingRepairPayload(
+                    repair_type=getattr(self, "_get_repair_type", lambda: "unknown")(),
+                    failed_action=sampled_actions[-1],
+                    failed_result=sampled_results[-1],
+                    failed_validations=sampled_scores[-1],
+                    repair_action=next_action,
+                    repair_context=next_context,
+                    repair_iteration=loop_count,
+                )
+                await invoke_hook(
+                    HookType.SAMPLING_REPAIR, repair_payload, backend=backend
+                )
+
         flog.info(
             f"Invoking select_from_failure after {len(sampled_results)} failed attempts."
         )
@@ -256,6 +329,25 @@ async def sample(
         )  # Cannot be None after generation.
         sampled_results[best_failed_index]._generate_log.is_final_result = True  # type: ignore
 
+        # --- sampling_loop_end hook (failure) ---
+        if has_plugins(HookType.SAMPLING_LOOP_END):
+            from ...plugins.hooks.sampling import SamplingLoopEndPayload
+
+            _final_ctx = (
+                sample_contexts[best_failed_index] if sample_contexts else context
+            )
+            end_payload = SamplingLoopEndPayload(
+                success=False,
+                iterations_used=loop_count,
+                final_result=sampled_results[best_failed_index],
+                final_action=sampled_actions[best_failed_index],
+                final_context=_final_ctx,
+                failure_reason=f"Budget exhausted after {loop_count} iterations",
+                all_results=sampled_results,
+                all_validations=sampled_scores,
+            )
+            await invoke_hook(HookType.SAMPLING_LOOP_END, end_payload, backend=backend)
+
         return SamplingResult(
             result_index=best_failed_index,
             success=False,
diff --git a/mellea/stdlib/session.py b/mellea/stdlib/session.py
index 880d1391a..784923d9f 100644
--- a/mellea/stdlib/session.py
+++ b/mellea/stdlib/session.py
@@ -26,6 +26,9 @@
     SamplingStrategy,
     ValidationResult,
 )
+from ..helpers import _run_async_in_thread
+from ..plugins.manager import has_plugins, invoke_hook
+from ..plugins.types import HookType
 from ..stdlib import functional as mfuncs
 from ..telemetry import set_span_attribute, trace_application
 from .components import Message
@@ -102,6 +105,7 @@ def start_session(
     ctx: Context | None = None,
     *,
     model_options: dict | None = None,
+    plugins: list[Any] | None = None,
     **backend_kwargs,
 ) -> MelleaSession:
     """Start a new Mellea session. Can be used as a context manager or called directly.
@@ -125,6 +129,9 @@ def start_session(
             Use ChatContext() for chat-style conversations.
         model_options: Additional model configuration options that will be passed
             to the backend (e.g., temperature, max_tokens, etc.).
+        plugins: Optional list of plugins scoped to this session. Accepts
+            ``@hook``-decorated functions, ``@plugin``-decorated class instances,
+            ``MelleaPlugin`` instances, or ``PluginSet`` instances.
         **backend_kwargs: Additional keyword arguments passed to the backend constructor.
 
     Returns:
@@ -178,6 +185,23 @@ def start_session(
         model_id=model_id_str,
         context_type=ctx.__class__.__name__ if ctx else "SimpleContext",
     ):
+        # --- session_pre_init hook ---
+        if has_plugins(HookType.SESSION_PRE_INIT):
+            from ..plugins.hooks.session import SessionPreInitPayload
+
+            pre_payload = SessionPreInitPayload(
+                backend_name=backend_name,
+                model_id=model_id_str,
+                model_options=model_options,
+                context_type=ctx.__class__.__name__ if ctx else "SimpleContext",
+            )
+            _, pre_payload = _run_async_in_thread(
+                invoke_hook(HookType.SESSION_PRE_INIT, pre_payload)
+            )
+            # Apply writable field modifications
+            model_id_str = pre_payload.model_id
+            model_options = pre_payload.model_options
+
         backend_class = backend_name_to_class(backend_name)
         if backend_class is None:
             raise Exception(
@@ -195,7 +219,26 @@ def start_session(
             + (f", model_options={model_options}" if model_options else "")
         )
 
-        return MelleaSession(backend, ctx)
+        session = MelleaSession(backend, ctx)
+
+        # Register session-scoped plugins
+        if plugins:
+            from ..plugins.registry import register as register_plugins
+
+            register_plugins(plugins, session_id=session.id)
+
+        # --- session_post_init hook ---
+        if has_plugins(HookType.SESSION_POST_INIT):
+            from ..plugins.hooks.session import SessionPostInitPayload
+
+            post_payload = SessionPostInitPayload(
+                session_id=session.id, model_id=model_id_str, context=session.ctx
+            )
+            _run_async_in_thread(
+                invoke_hook(HookType.SESSION_POST_INIT, post_payload, backend=backend)
+            )
+
+        return session
 
 
 class MelleaSession:
@@ -221,6 +264,9 @@ def __init__(self, backend: Backend, ctx: Context | None = None):
             backend (Backend): This is always required.
             ctx (Context): The way in which the model's context will be managed. By default, each interaction with the model is a stand-alone interaction, so we use SimpleContext as the default.
         """
+        import uuid
+
+        self.id = str(uuid.uuid4())
         self.backend = backend
         self.ctx: Context = ctx if ctx is not None else SimpleContext()
         self._session_logger = FancyLogger.get_logger()
@@ -283,10 +329,34 @@ def clone(self):
 
     def reset(self):
         """Reset the context state."""
+        if has_plugins(HookType.SESSION_RESET):
+            from ..plugins.hooks.session import SessionResetPayload
+
+            payload = SessionResetPayload(previous_context=self.ctx)
+            _run_async_in_thread(
+                invoke_hook(HookType.SESSION_RESET, payload, backend=self.backend)
+            )
         self.ctx = self.ctx.reset_to_new()
 
     def cleanup(self) -> None:
         """Clean up session resources."""
+        if has_plugins(HookType.SESSION_CLEANUP):
+            from ..plugins.hooks.session import SessionCleanupPayload
+
+            payload = SessionCleanupPayload(
+                context=self.ctx, interaction_count=len(self.ctx.as_list())
+            )
+            _run_async_in_thread(
+                invoke_hook(HookType.SESSION_CLEANUP, payload, backend=self.backend)
+            )
+
+        # Deregister session-scoped plugins — must run whenever plugins are
+        # enabled, regardless of whether any plugin subscribes to SESSION_CLEANUP.
+        if has_plugins():
+            from ..plugins.manager import deregister_session_plugins
+
+            deregister_session_plugins(self.id)
+
         self.reset()
         if hasattr(self.backend, "close"):
             self.backend.close()  # type: ignore
diff --git a/pyproject.toml b/pyproject.toml
index 2ffaad4a3..fff2a881c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -98,7 +98,12 @@ sandbox = [
 
 backends = ["mellea[watsonx,hf,vllm,litellm]"]
 
-all = ["mellea[backends,docling,tools,telemetry,server,sandbox,granite_retriever]"]
+hooks = [
+    "cpex>=0.1.0.dev10; python_version >= '3.11'",
+    "grpcio>=1.78.0",
+]
+
+all = ["mellea[backends,docling,tools,telemetry,server,sandbox,granite_retriever,hooks]"]
 
 [dependency-groups]
 # Development groups: uv sync --all-groups
@@ -116,6 +121,7 @@ test = [
     "pytest-asyncio",
     "pytest-cov>=6.0.0",
     "pytest-timeout",  # For test suite timeout configuration
+    "pytest-xdist>=3.8.0", # For concurrent test execution (uv run pytest -n auto test/)
     "psutil",  # For test infrastructure: RAM detection in conftest.py
     "nbmake>=1.5.5",  # Notebook testing
     "sentencepiece==0.2.1",  # Necessary for test_huggingface_tools test because of Mistral model
diff --git a/test/conftest.py b/test/conftest.py
index 6a924c405..b441e7a88 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -154,6 +154,12 @@ def add_option_safe(option_name, **kwargs):
         default=False,
         help="Ignore all requirement checks (GPU, RAM, Ollama, API keys)",
     )
+    add_option_safe(
+        "--disable-default-mellea-plugins",
+        action="store_true",
+        default=False,
+        help="Register all acceptance plugin sets for every test",
+    )
 
 
 def pytest_configure(config):
@@ -189,6 +195,11 @@ def pytest_configure(config):
         "markers", "llm: Tests that make LLM calls (needs at least Ollama)"
     )
 
+    # Plugin acceptance markers
+    config.addinivalue_line(
+        "markers", "plugins: Acceptance tests that register all built-in plugin sets"
+    )
+
     # Store vLLM isolation flag in config
     config._vllm_process_isolation = False
 
@@ -571,6 +582,55 @@ def aggressive_cleanup():
     memory_cleaner()
 
 
+# ============================================================================
+# Plugin Acceptance Sets
+# ============================================================================
+
+
+@pytest.fixture()
+async def register_acceptance_sets(request):
+    """Register all acceptance plugin sets (logging, sequential, concurrent, fandf).
+
+    Usage: mark your test with ``@pytest.mark.plugins`` and request this fixture,
+    or rely on the autouse ``auto_register_acceptance_sets`` fixture below.
+    """
+    plugins_disabled = request.config.getoption(
+        "--disable-default-mellea-plugins", default=False
+    )
+    if not plugins_disabled:
+        # If plugins are enabled, we don't need to re-enable them for this specific test.
+        return
+
+    from mellea.plugins import register
+    from mellea.plugins.manager import shutdown_plugins
+    from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
+
+    for ps in ALL_ACCEPTANCE_SETS:
+        register(ps)
+    yield
+    await shutdown_plugins()
+
+
+@pytest.fixture(autouse=True, scope="session")
+async def auto_register_acceptance_sets(request):
+    """Auto-register acceptance plugin sets for all tests by default; disable when ``--disable-default-mellea-plugins`` is passed on the CLI."""
+    disable_plugins = request.config.getoption(
+        "--disable-default-mellea-plugins", default=False
+    )
+    if disable_plugins:
+        yield
+        return
+
+    from mellea.plugins import register
+    from mellea.plugins.manager import shutdown_plugins
+    from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
+
+    for ps in ALL_ACCEPTANCE_SETS:
+        register(ps)
+    yield
+    await shutdown_plugins()
+
+
 @pytest.fixture(autouse=True, scope="module")
 def cleanup_module_fixtures():
     """Cleanup module-scoped fixtures to free memory between test modules."""
diff --git a/test/core/test_astream_exception_propagation.py b/test/core/test_astream_exception_propagation.py
index 490cd0c9b..cd441250a 100644
--- a/test/core/test_astream_exception_propagation.py
+++ b/test/core/test_astream_exception_propagation.py
@@ -5,6 +5,8 @@
 (which assumes system invariants that don't hold during failures).
 """
 
+import datetime
+
 import pytest
 
 from mellea.core.base import CBlock, GenerateType, ModelOutputThunk
@@ -27,6 +29,7 @@ def _make_thunk(post_process=_failing_post_process):
     mot._post_process = post_process
     mot._action = CBlock("test")
     mot._chunk_size = 0
+    mot._start = datetime.datetime.now()
     return mot
 
 
diff --git a/test/plugins/__init__.py b/test/plugins/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/test/plugins/_acceptance_sets.py b/test/plugins/_acceptance_sets.py
new file mode 100644
index 000000000..62066dc7f
--- /dev/null
+++ b/test/plugins/_acceptance_sets.py
@@ -0,0 +1,53 @@
+"""Plugin sets covering every HookType x PluginMode for acceptance tests.
+
+Each set contains one hook per call site in a single execution mode:
+  1. logging_plugin_set  — AUDIT (observe-only)
+  2. sequential_plugin_set — SEQUENTIAL (serial, can block + modify)
+  3. concurrent_plugin_set — CONCURRENT (parallel, can block only)
+  4. fandf_plugin_set — FIRE_AND_FORGET (background, observe-only)
+"""
+
+from mellea.plugins import HookType, PluginMode, PluginSet, hook
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+_ALL_HOOK_TYPES = list(HookType)
+
+
+def _make_hooks(prefix: str, mode: PluginMode):
+    """Generate one async hook function per HookType in the given mode."""
+    hooks = []
+    for ht in _ALL_HOOK_TYPES:
+
+        @hook(ht, mode=mode)
+        async def _hook(payload, ctx, _ht=ht, _prefix=prefix):
+            print(f"[{_prefix}] {_ht.value}:", payload)
+
+        # Give each closure a unique qualname so the adapter names don't clash.
+        _hook.__qualname__ = f"{prefix}_{ht.value}"
+        _hook.__name__ = f"{prefix}_{ht.value}"
+        hooks.append(_hook)
+    return hooks
+
+
+# ---------------------------------------------------------------------------
+# Plugin sets
+# ---------------------------------------------------------------------------
+
+logging_plugin_set = PluginSet("logging", _make_hooks("log", PluginMode.AUDIT))
+sequential_plugin_set = PluginSet(
+    "sequential", _make_hooks("seq", PluginMode.SEQUENTIAL)
+)
+concurrent_plugin_set = PluginSet(
+    "concurrent", _make_hooks("concurrent", PluginMode.CONCURRENT)
+)
+fandf_plugin_set = PluginSet("fandf", _make_hooks("fandf", PluginMode.FIRE_AND_FORGET))
+
+ALL_ACCEPTANCE_SETS = [
+    logging_plugin_set,
+    sequential_plugin_set,
+    concurrent_plugin_set,
+    fandf_plugin_set,
+]
diff --git a/test/plugins/test_all_payloads.py b/test/plugins/test_all_payloads.py
new file mode 100644
index 000000000..b1b93401a
--- /dev/null
+++ b/test/plugins/test_all_payloads.py
@@ -0,0 +1,973 @@
+"""Tests for all remaining hook payload models not covered in test_payloads.py.
+
+Covers:
+- SessionPostInitPayload, SessionResetPayload, SessionCleanupPayload
+- ComponentPreExecutePayload, ComponentPostSuccessPayload, ComponentPostErrorPayload
+- GenerationPostCallPayload
+- ValidationPreCheckPayload, ValidationPostCheckPayload
+- SamplingLoopStartPayload, SamplingIterationPayload,
+  SamplingRepairPayload, SamplingLoopEndPayload
+- ToolPreInvokePayload, ToolPostInvokePayload
+"""
+
+import pytest
+from pydantic import ValidationError
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins.base import MelleaBasePayload
+from mellea.plugins.hooks.component import (
+    ComponentPostErrorPayload,
+    ComponentPostSuccessPayload,
+    ComponentPreExecutePayload,
+)
+from mellea.plugins.hooks.generation import GenerationPostCallPayload
+from mellea.plugins.hooks.sampling import (
+    SamplingIterationPayload,
+    SamplingLoopEndPayload,
+    SamplingLoopStartPayload,
+    SamplingRepairPayload,
+)
+from mellea.plugins.hooks.session import (
+    SessionCleanupPayload,
+    SessionPostInitPayload,
+    SessionResetPayload,
+)
+from mellea.plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
+from mellea.plugins.hooks.validation import (
+    ValidationPostCheckPayload,
+    ValidationPreCheckPayload,
+)
+
+# ---------------------------------------------------------------------------
+# Sentinel objects used as stand-ins for live Mellea references (Any fields).
+# ---------------------------------------------------------------------------
+_SENTINEL_SESSION = object()
+_SENTINEL_CONTEXT = object()
+_SENTINEL_ACTION = object()
+_SENTINEL_COMPONENT = object()
+_SENTINEL_RESULT = object()
+_SENTINEL_STRATEGY = object()
+_SENTINEL_FORMAT = object()
+_SENTINEL_GENERATE_LOG = object()
+_SENTINEL_ERROR = RuntimeError("boom")
+_SENTINEL_CALLABLE = lambda: None  # noqa: E731
+_SENTINEL_TOOL_CALL = object()
+_SENTINEL_TOOL_MESSAGE = object()
+_SENTINEL_REQUIREMENT = object()
+_SENTINEL_VALIDATION_RESULT = object()
+
+
+# ===========================================================================
+# Session payloads
+# ===========================================================================
+
+
+class TestSessionPostInitPayload:
+    def test_defaults(self):
+        payload = SessionPostInitPayload()
+        assert payload.session_id == ""
+        assert payload.model_id == ""
+        assert payload.context is None
+        assert payload.request_id == ""
+        assert payload.hook == ""
+        assert payload.user_metadata == {}
+        assert payload.timestamp is not None
+
+    def test_construction_with_values(self):
+        payload = SessionPostInitPayload(
+            session_id="s-001",
+            model_id="granite4:micro",
+            context=_SENTINEL_CONTEXT,
+            request_id="r-001",
+            hook="session_post_init",
+        )
+        assert payload.session_id == "s-001"
+        assert payload.model_id == "granite4:micro"
+        assert payload.context is _SENTINEL_CONTEXT
+        assert payload.request_id == "r-001"
+        assert payload.hook == "session_post_init"
+
+    def test_frozen(self):
+        payload = SessionPostInitPayload(session_id="s-001")
+        with pytest.raises(ValidationError):
+            payload.session_id = "s-002"
+
+    def test_frozen_base_field(self):
+        payload = SessionPostInitPayload(request_id="r-001")
+        with pytest.raises(ValidationError):
+            payload.request_id = "r-002"
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = SessionPostInitPayload(
+            session_id="s-001", model_id="gpt-4", request_id="r-001"
+        )
+        modified = payload.model_copy(update={"model_id": "gpt-3.5"})
+        assert modified.model_id == "gpt-3.5"
+        assert payload.model_id == "gpt-4"
+        assert modified.request_id == "r-001"
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SessionPostInitPayload, MelleaBasePayload)
+        payload = SessionPostInitPayload(
+            session_id="s-abc",
+            request_id="r-abc",
+            hook="my_hook",
+            user_metadata={"env": "test"},
+        )
+        assert payload.session_id == "s-abc"
+        assert payload.user_metadata == {"env": "test"}
+
+
+class TestSessionResetPayload:
+    def test_defaults(self):
+        payload = SessionResetPayload()
+        assert payload.previous_context is None
+        assert payload.session_id is None
+        assert payload.request_id == ""
+
+    def test_construction_with_values(self):
+        payload = SessionResetPayload(
+            previous_context=_SENTINEL_CONTEXT, session_id="s-002", hook="session_reset"
+        )
+        assert payload.previous_context is _SENTINEL_CONTEXT
+        assert payload.session_id == "s-002"
+        assert payload.hook == "session_reset"
+
+    def test_frozen(self):
+        payload = SessionResetPayload(previous_context=_SENTINEL_CONTEXT)
+        with pytest.raises(ValidationError):
+            payload.previous_context = object()
+
+    def test_frozen_base_field(self):
+        payload = SessionResetPayload(hook="session_reset")
+        with pytest.raises(ValidationError):
+            payload.hook = "other_hook"
+
+    def test_model_copy_creates_modified_copy(self):
+        new_ctx = object()
+        payload = SessionResetPayload(
+            previous_context=_SENTINEL_CONTEXT, session_id="s-002"
+        )
+        modified = payload.model_copy(update={"previous_context": new_ctx})
+        assert modified.previous_context is new_ctx
+        assert payload.previous_context is _SENTINEL_CONTEXT
+        assert modified.session_id == "s-002"
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SessionResetPayload, MelleaBasePayload)
+
+
+class TestSessionCleanupPayload:
+    def test_defaults(self):
+        payload = SessionCleanupPayload()
+        assert payload.context is None
+        assert payload.interaction_count == 0
+        assert payload.session_id is None
+
+    def test_construction_with_values(self):
+        payload = SessionCleanupPayload(
+            context=_SENTINEL_CONTEXT,
+            interaction_count=42,
+            session_id="s-003",
+            hook="session_cleanup",
+        )
+        assert payload.context is _SENTINEL_CONTEXT
+        assert payload.interaction_count == 42
+        assert payload.session_id == "s-003"
+
+    def test_frozen(self):
+        payload = SessionCleanupPayload(interaction_count=5)
+        with pytest.raises(ValidationError):
+            payload.interaction_count = 6
+
+    def test_frozen_context_field(self):
+        payload = SessionCleanupPayload(context=_SENTINEL_CONTEXT)
+        with pytest.raises(ValidationError):
+            payload.context = object()
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = SessionCleanupPayload(context=_SENTINEL_CONTEXT, interaction_count=10)
+        modified = payload.model_copy(update={"interaction_count": 99})
+        assert modified.interaction_count == 99
+        assert payload.interaction_count == 10
+        assert modified.context is _SENTINEL_CONTEXT
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SessionCleanupPayload, MelleaBasePayload)
+        payload = SessionCleanupPayload(user_metadata={"run": "cleanup"})
+        assert payload.user_metadata == {"run": "cleanup"}
+
+
+# ===========================================================================
+# Component payloads
+# ===========================================================================
+
+
+class TestComponentPreExecutePayload:
+    def test_defaults(self):
+        payload = ComponentPreExecutePayload()
+        assert payload.component_type == ""
+        assert payload.action is None
+        assert payload.context_view is None
+        assert payload.requirements == []
+        assert payload.model_options == {}
+        assert payload.format is None
+        assert payload.strategy is None
+        assert payload.tool_calls_enabled is False
+
+    def test_construction_with_values(self):
+        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
+        payload = ComponentPreExecutePayload(
+            component_type="Extractor",
+            action=_SENTINEL_ACTION,
+            context_view=["msg_a", "msg_b"],
+            requirements=reqs,
+            model_options={"temperature": 0.2},
+            format=_SENTINEL_FORMAT,
+            strategy=_SENTINEL_STRATEGY,
+            tool_calls_enabled=True,
+            request_id="r-exec-001",
+        )
+        assert payload.component_type == "Extractor"
+        assert payload.action is _SENTINEL_ACTION
+        assert payload.context_view == ["msg_a", "msg_b"]
+        assert len(payload.requirements) == 2
+        assert payload.model_options == {"temperature": 0.2}
+        assert payload.format is _SENTINEL_FORMAT
+        assert payload.strategy is _SENTINEL_STRATEGY
+        assert payload.tool_calls_enabled is True
+
+    def test_frozen(self):
+        payload = ComponentPreExecutePayload(tool_calls_enabled=False)
+        with pytest.raises(ValidationError):
+            payload.tool_calls_enabled = True
+
+    def test_frozen_model_options(self):
+        payload = ComponentPreExecutePayload(model_options={"temperature": 0.5})
+        with pytest.raises(ValidationError):
+            payload.model_options = {}
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = ComponentPreExecutePayload(
+            component_type="Extractor",
+            model_options={"temperature": 0.5},
+            tool_calls_enabled=False,
+        )
+        modified = payload.model_copy(
+            update={"model_options": {"temperature": 0.9}, "tool_calls_enabled": True}
+        )
+        assert modified.model_options == {"temperature": 0.9}
+        assert modified.tool_calls_enabled is True
+        assert payload.model_options == {"temperature": 0.5}
+        assert payload.tool_calls_enabled is False
+        assert modified.component_type == "Extractor"
+
+    def test_context_view_none_vs_empty(self):
+        payload_none = ComponentPreExecutePayload(context_view=None)
+        payload_list = ComponentPreExecutePayload(context_view=[])
+        assert payload_none.context_view is None
+        assert payload_list.context_view == []
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ComponentPreExecutePayload, MelleaBasePayload)
+
+
+class TestComponentPostSuccessPayload:
+    def test_defaults(self):
+        payload = ComponentPostSuccessPayload()
+        assert payload.component_type == ""
+        assert payload.action is None
+        assert payload.result is None
+        assert payload.context_before is None
+        assert payload.context_after is None
+        assert payload.generate_log is None
+        assert payload.sampling_results is None
+        assert payload.latency_ms == 0
+
+    def test_construction_with_values(self):
+        sampling = [object(), object()]
+        payload = ComponentPostSuccessPayload(
+            component_type="Instruction",
+            action=_SENTINEL_ACTION,
+            result=_SENTINEL_RESULT,
+            context_before=_SENTINEL_CONTEXT,
+            context_after=_SENTINEL_CONTEXT,
+            generate_log=_SENTINEL_GENERATE_LOG,
+            sampling_results=sampling,
+            latency_ms=250,
+            request_id="r-success-001",
+        )
+        assert payload.component_type == "Instruction"
+        assert payload.result is _SENTINEL_RESULT
+        assert payload.latency_ms == 250
+        assert (
+            payload.sampling_results is not None and len(payload.sampling_results) == 2
+        )
+
+    def test_frozen(self):
+        payload = ComponentPostSuccessPayload(latency_ms=100)
+        with pytest.raises(ValidationError):
+            payload.latency_ms = 200
+
+    def test_frozen_component_type(self):
+        payload = ComponentPostSuccessPayload(component_type="Instruction")
+        with pytest.raises(ValidationError):
+            payload.component_type = "Extractor"
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = ComponentPostSuccessPayload(
+            component_type="Instruction", latency_ms=100
+        )
+        modified = payload.model_copy(update={"latency_ms": 999})
+        assert modified.latency_ms == 999
+        assert payload.latency_ms == 100
+        assert modified.component_type == "Instruction"
+
+    def test_sampling_results_none_vs_list(self):
+        payload_none = ComponentPostSuccessPayload(sampling_results=None)
+        payload_list = ComponentPostSuccessPayload(sampling_results=[object()])
+        assert payload_none.sampling_results is None
+        assert (
+            payload_list.sampling_results is not None
+            and len(payload_list.sampling_results) == 1
+        )
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ComponentPostSuccessPayload, MelleaBasePayload)
+
+
+class TestComponentPostErrorPayload:
+    def test_defaults(self):
+        payload = ComponentPostErrorPayload()
+        assert payload.component_type == ""
+        assert payload.action is None
+        assert payload.error is None
+        assert payload.error_type == ""
+        assert payload.stack_trace == ""
+        assert payload.context is None
+        assert payload.model_options == {}
+
+    def test_construction_with_values(self):
+        payload = ComponentPostErrorPayload(
+            component_type="Extractor",
+            action=_SENTINEL_ACTION,
+            error=_SENTINEL_ERROR,
+            error_type="RuntimeError",
+            stack_trace="Traceback ...",
+            context=_SENTINEL_CONTEXT,
+            model_options={"temperature": 0.0},
+            request_id="r-err-001",
+        )
+        assert payload.component_type == "Extractor"
+        assert payload.error is _SENTINEL_ERROR
+        assert payload.error_type == "RuntimeError"
+        assert payload.stack_trace == "Traceback ..."
+        assert payload.model_options == {"temperature": 0.0}
+
+    def test_frozen(self):
+        payload = ComponentPostErrorPayload(error_type="ValueError")
+        with pytest.raises(ValidationError):
+            payload.error_type = "RuntimeError"
+
+    def test_frozen_stack_trace(self):
+        payload = ComponentPostErrorPayload(stack_trace="trace line 1")
+        with pytest.raises(ValidationError):
+            payload.stack_trace = "new trace"
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = ComponentPostErrorPayload(
+            component_type="Extractor",
+            error_type="ValueError",
+            stack_trace="original trace",
+        )
+        modified = payload.model_copy(
+            update={"error_type": "RuntimeError", "stack_trace": "new trace"}
+        )
+        assert modified.error_type == "RuntimeError"
+        assert modified.stack_trace == "new trace"
+        assert payload.error_type == "ValueError"
+        assert payload.stack_trace == "original trace"
+        assert modified.component_type == "Extractor"
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ComponentPostErrorPayload, MelleaBasePayload)
+
+
+# ===========================================================================
+# Generation payloads
+# ===========================================================================
+
+
+class TestGenerationPostCallPayload:
+    def test_defaults(self):
+        payload = GenerationPostCallPayload()
+        assert payload.prompt == ""
+        assert payload.model_output is None
+        assert payload.latency_ms == 0
+
+    def test_construction_with_string_prompt(self):
+        payload = GenerationPostCallPayload(
+            prompt="What is the capital of France?",
+            model_output=_SENTINEL_RESULT,
+            latency_ms=312,
+            request_id="r-gen-001",
+        )
+        assert payload.prompt == "What is the capital of France?"
+        assert payload.latency_ms == 312
+
+    def test_construction_with_list_prompt(self):
+        messages = [{"role": "user", "content": "Hello"}]
+        payload = GenerationPostCallPayload(prompt=messages)
+        assert payload.prompt == messages
+
+    def test_frozen_latency(self):
+        payload = GenerationPostCallPayload(latency_ms=100)
+        with pytest.raises(ValidationError):
+            payload.latency_ms = 200
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = GenerationPostCallPayload(prompt="original prompt", latency_ms=100)
+        modified = payload.model_copy(update={"latency_ms": 500})
+        assert modified.latency_ms == 500
+        assert payload.latency_ms == 100
+        assert modified.prompt == "original prompt"
+
+    def test_inherits_base_fields(self):
+        assert issubclass(GenerationPostCallPayload, MelleaBasePayload)
+
+
+# ===========================================================================
+# Validation payloads
+# ===========================================================================
+
+
+class TestValidationPreCheckPayload:
+    def test_defaults(self):
+        payload = ValidationPreCheckPayload()
+        assert payload.requirements == []
+        assert payload.target is None
+        assert payload.context is None
+        assert payload.model_options == {}
+
+    def test_construction_with_values(self):
+        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
+        payload = ValidationPreCheckPayload(
+            requirements=reqs,
+            target=_SENTINEL_ACTION,
+            context=_SENTINEL_CONTEXT,
+            model_options={"temperature": 0.0},
+            request_id="r-val-001",
+        )
+        assert len(payload.requirements) == 2
+        assert payload.target is _SENTINEL_ACTION
+        assert payload.context is _SENTINEL_CONTEXT
+        assert payload.model_options == {"temperature": 0.0}
+
+    def test_frozen(self):
+        payload = ValidationPreCheckPayload(requirements=[_SENTINEL_REQUIREMENT])
+        with pytest.raises(ValidationError):
+            payload.requirements = []
+
+    def test_frozen_model_options(self):
+        payload = ValidationPreCheckPayload(model_options={"temperature": 0.5})
+        with pytest.raises(ValidationError):
+            payload.model_options = {}
+
+    def test_model_copy_creates_modified_copy(self):
+        reqs = [_SENTINEL_REQUIREMENT]
+        payload = ValidationPreCheckPayload(
+            requirements=reqs, context=_SENTINEL_CONTEXT
+        )
+        new_reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
+        modified = payload.model_copy(update={"requirements": new_reqs})
+        assert len(modified.requirements) == 2
+        assert len(payload.requirements) == 1
+        assert modified.context is _SENTINEL_CONTEXT
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ValidationPreCheckPayload, MelleaBasePayload)
+        payload = ValidationPreCheckPayload(
+            session_id="s-val", user_metadata={"phase": "pre"}
+        )
+        assert payload.session_id == "s-val"
+        assert payload.user_metadata == {"phase": "pre"}
+
+
+class TestValidationPostCheckPayload:
+    def test_defaults(self):
+        payload = ValidationPostCheckPayload()
+        assert payload.requirements == []
+        assert payload.results == []
+        assert payload.all_validations_passed is False
+        assert payload.passed_count == 0
+        assert payload.failed_count == 0
+
+    def test_construction_with_values(self):
+        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
+        results = [_SENTINEL_VALIDATION_RESULT, _SENTINEL_VALIDATION_RESULT]
+        payload = ValidationPostCheckPayload(
+            requirements=reqs,
+            results=results,
+            all_validations_passed=True,
+            passed_count=2,
+            failed_count=0,
+            request_id="r-val-post-001",
+        )
+        assert len(payload.requirements) == 2
+        assert len(payload.results) == 2
+        assert payload.all_validations_passed is True
+        assert payload.passed_count == 2
+        assert payload.failed_count == 0
+
+    def test_partial_pass(self):
+        payload = ValidationPostCheckPayload(
+            passed_count=1, failed_count=1, all_validations_passed=False
+        )
+        assert payload.all_validations_passed is False
+        assert payload.passed_count == 1
+        assert payload.failed_count == 1
+
+    def test_frozen(self):
+        payload = ValidationPostCheckPayload(all_validations_passed=False)
+        with pytest.raises(ValidationError):
+            payload.all_validations_passed = True
+
+    def test_frozen_counts(self):
+        payload = ValidationPostCheckPayload(passed_count=2, failed_count=0)
+        with pytest.raises(ValidationError):
+            payload.passed_count = 3
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = ValidationPostCheckPayload(
+            passed_count=1, failed_count=2, all_validations_passed=False
+        )
+        modified = payload.model_copy(
+            update={
+                "passed_count": 3,
+                "failed_count": 0,
+                "all_validations_passed": True,
+            }
+        )
+        assert modified.passed_count == 3
+        assert modified.failed_count == 0
+        assert modified.all_validations_passed is True
+        assert payload.passed_count == 1
+        assert payload.failed_count == 2
+        assert payload.all_validations_passed is False
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ValidationPostCheckPayload, MelleaBasePayload)
+
+
+# ===========================================================================
+# Sampling payloads
+# ===========================================================================
+
+
+class TestSamplingLoopStartPayload:
+    def test_defaults(self):
+        payload = SamplingLoopStartPayload()
+        assert payload.strategy_name == ""
+        assert payload.action is None
+        assert payload.context is None
+        assert payload.requirements == []
+        assert payload.loop_budget == 0
+
+    def test_construction_with_values(self):
+        reqs = [_SENTINEL_REQUIREMENT]
+        payload = SamplingLoopStartPayload(
+            strategy_name="BestOfN",
+            action=_SENTINEL_ACTION,
+            context=_SENTINEL_CONTEXT,
+            requirements=reqs,
+            loop_budget=5,
+            request_id="r-samp-001",
+        )
+        assert payload.strategy_name == "BestOfN"
+        assert payload.action is _SENTINEL_ACTION
+        assert payload.context is _SENTINEL_CONTEXT
+        assert len(payload.requirements) == 1
+        assert payload.loop_budget == 5
+
+    def test_frozen(self):
+        payload = SamplingLoopStartPayload(strategy_name="BestOfN", loop_budget=5)
+        with pytest.raises(ValidationError):
+            payload.loop_budget = 10
+
+    def test_frozen_strategy_name(self):
+        payload = SamplingLoopStartPayload(strategy_name="BestOfN")
+        with pytest.raises(ValidationError):
+            payload.strategy_name = "Retry"
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = SamplingLoopStartPayload(
+            strategy_name="BestOfN", loop_budget=3, context=_SENTINEL_CONTEXT
+        )
+        modified = payload.model_copy(update={"loop_budget": 10})
+        assert modified.loop_budget == 10
+        assert payload.loop_budget == 3
+        assert modified.strategy_name == "BestOfN"
+        assert modified.context is _SENTINEL_CONTEXT
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SamplingLoopStartPayload, MelleaBasePayload)
+
+
+class TestSamplingIterationPayload:
+    def test_defaults(self):
+        payload = SamplingIterationPayload()
+        assert payload.iteration == 0
+        assert payload.action is None
+        assert payload.result is None
+        assert payload.validation_results == []
+        assert payload.all_validations_passed is False
+        assert payload.valid_count == 0
+        assert payload.total_count == 0
+
+    def test_construction_with_values(self):
+        val_results = [
+            (_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT),
+            (_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT),
+        ]
+        payload = SamplingIterationPayload(
+            iteration=2,
+            action=_SENTINEL_ACTION,
+            result=_SENTINEL_RESULT,
+            validation_results=val_results,
+            all_validations_passed=True,
+            valid_count=2,
+            total_count=2,
+            request_id="r-iter-001",
+        )
+        assert payload.iteration == 2
+        assert payload.action is _SENTINEL_ACTION
+        assert payload.result is _SENTINEL_RESULT
+        assert len(payload.validation_results) == 2
+        assert payload.all_validations_passed is True
+        assert payload.valid_count == 2
+        assert payload.total_count == 2
+
+    def test_partial_validity(self):
+        val_results = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
+        payload = SamplingIterationPayload(
+            iteration=1,
+            validation_results=val_results,
+            all_validations_passed=False,
+            valid_count=0,
+            total_count=1,
+        )
+        assert payload.all_validations_passed is False
+        assert payload.valid_count == 0
+
+    def test_frozen(self):
+        payload = SamplingIterationPayload(iteration=1)
+        with pytest.raises(ValidationError):
+            payload.iteration = 2
+
+    def test_frozen_all_validations_passed(self):
+        payload = SamplingIterationPayload(all_validations_passed=False)
+        with pytest.raises(ValidationError):
+            payload.all_validations_passed = True
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = SamplingIterationPayload(
+            iteration=0, valid_count=0, total_count=2, all_validations_passed=False
+        )
+        modified = payload.model_copy(
+            update={"iteration": 1, "valid_count": 2, "all_validations_passed": True}
+        )
+        assert modified.iteration == 1
+        assert modified.valid_count == 2
+        assert modified.all_validations_passed is True
+        assert payload.iteration == 0
+        assert payload.valid_count == 0
+        assert payload.all_validations_passed is False
+        assert modified.total_count == 2
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SamplingIterationPayload, MelleaBasePayload)
+
+
+class TestSamplingRepairPayload:
+    def test_defaults(self):
+        payload = SamplingRepairPayload()
+        assert payload.repair_type == ""
+        assert payload.failed_action is None
+        assert payload.failed_result is None
+        assert payload.failed_validations == []
+        assert payload.repair_action is None
+        assert payload.repair_context is None
+        assert payload.repair_iteration == 0
+
+    def test_construction_with_values(self):
+        failed_vals = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
+        payload = SamplingRepairPayload(
+            repair_type="prompt_repair",
+            failed_action=_SENTINEL_ACTION,
+            failed_result=_SENTINEL_RESULT,
+            failed_validations=failed_vals,
+            repair_action=_SENTINEL_ACTION,
+            repair_context=_SENTINEL_CONTEXT,
+            repair_iteration=1,
+            request_id="r-repair-001",
+        )
+        assert payload.repair_type == "prompt_repair"
+        assert payload.failed_action is _SENTINEL_ACTION
+        assert payload.failed_result is _SENTINEL_RESULT
+        assert len(payload.failed_validations) == 1
+        assert payload.repair_action is _SENTINEL_ACTION
+        assert payload.repair_context is _SENTINEL_CONTEXT
+        assert payload.repair_iteration == 1
+
+    def test_frozen(self):
+        payload = SamplingRepairPayload(repair_type="prompt_repair")
+        with pytest.raises(ValidationError):
+            payload.repair_type = "context_repair"
+
+    def test_frozen_repair_iteration(self):
+        payload = SamplingRepairPayload(repair_iteration=1)
+        with pytest.raises(ValidationError):
+            payload.repair_iteration = 2
+
+    def test_model_copy_creates_modified_copy(self):
+        failed_vals = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
+        payload = SamplingRepairPayload(
+            repair_type="prompt_repair",
+            repair_iteration=0,
+            failed_validations=failed_vals,
+        )
+        new_ctx = object()
+        modified = payload.model_copy(
+            update={"repair_iteration": 2, "repair_context": new_ctx}
+        )
+        assert modified.repair_iteration == 2
+        assert modified.repair_context is new_ctx
+        assert payload.repair_iteration == 0
+        assert payload.repair_context is None
+        assert modified.repair_type == "prompt_repair"
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SamplingRepairPayload, MelleaBasePayload)
+        payload = SamplingRepairPayload(user_metadata={"repair": True})
+        assert payload.user_metadata == {"repair": True}
+
+
+class TestSamplingLoopEndPayload:
+    def test_defaults(self):
+        payload = SamplingLoopEndPayload()
+        assert payload.success is False
+        assert payload.iterations_used == 0
+        assert payload.final_result is None
+        assert payload.final_action is None
+        assert payload.final_context is None
+        assert payload.failure_reason is None
+        assert payload.all_results == []
+        assert payload.all_validations == []
+
+    def test_construction_successful(self):
+        all_results = [_SENTINEL_RESULT, _SENTINEL_RESULT]
+        all_validations = [
+            [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)],
+            [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)],
+        ]
+        payload = SamplingLoopEndPayload(
+            success=True,
+            iterations_used=2,
+            final_result=_SENTINEL_RESULT,
+            final_action=_SENTINEL_ACTION,
+            final_context=_SENTINEL_CONTEXT,
+            failure_reason=None,
+            all_results=all_results,
+            all_validations=all_validations,
+            request_id="r-end-001",
+        )
+        assert payload.success is True
+        assert payload.iterations_used == 2
+        assert payload.final_result is _SENTINEL_RESULT
+        assert payload.failure_reason is None
+        assert len(payload.all_results) == 2
+        assert len(payload.all_validations) == 2
+
+    def test_construction_failed(self):
+        payload = SamplingLoopEndPayload(
+            success=False, iterations_used=5, failure_reason="max_iterations_exceeded"
+        )
+        assert payload.success is False
+        assert payload.failure_reason == "max_iterations_exceeded"
+        assert payload.final_result is None
+
+    def test_frozen(self):
+        payload = SamplingLoopEndPayload(success=False)
+        with pytest.raises(ValidationError):
+            payload.success = True
+
+    def test_frozen_iterations(self):
+        payload = SamplingLoopEndPayload(iterations_used=3)
+        with pytest.raises(ValidationError):
+            payload.iterations_used = 5
+
+    def test_frozen_failure_reason(self):
+        payload = SamplingLoopEndPayload(failure_reason="budget_exhausted")
+        with pytest.raises(ValidationError):
+            payload.failure_reason = None
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = SamplingLoopEndPayload(
+            success=False, iterations_used=5, failure_reason="budget_exhausted"
+        )
+        modified = payload.model_copy(
+            update={
+                "success": True,
+                "iterations_used": 3,
+                "failure_reason": None,
+                "final_result": _SENTINEL_RESULT,
+            }
+        )
+        assert modified.success is True
+        assert modified.iterations_used == 3
+        assert modified.failure_reason is None
+        assert modified.final_result is _SENTINEL_RESULT
+        assert payload.success is False
+        assert payload.iterations_used == 5
+        assert payload.failure_reason == "budget_exhausted"
+
+    def test_failure_reason_none_vs_string(self):
+        payload_none = SamplingLoopEndPayload(failure_reason=None)
+        payload_str = SamplingLoopEndPayload(failure_reason="budget_exceeded")
+        assert payload_none.failure_reason is None
+        assert payload_str.failure_reason == "budget_exceeded"
+
+    def test_inherits_base_fields(self):
+        assert issubclass(SamplingLoopEndPayload, MelleaBasePayload)
+
+
+# ===========================================================================
+# Tool payloads
+# ===========================================================================
+
+
+class TestToolPreInvokePayload:
+    def test_defaults(self):
+        payload = ToolPreInvokePayload()
+        assert payload.model_tool_call is None
+
+    def test_construction_with_values(self):
+        payload = ToolPreInvokePayload(
+            model_tool_call=_SENTINEL_TOOL_CALL,
+            request_id="r-tool-001",
+            hook="tool_pre_invoke",
+        )
+        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
+        assert payload.hook == "tool_pre_invoke"
+
+    def test_frozen(self):
+        payload = ToolPreInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
+        with pytest.raises(ValidationError):
+            payload.model_tool_call = None
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = ToolPreInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
+        replacement = object()
+        modified = payload.model_copy(update={"model_tool_call": replacement})
+        assert modified.model_tool_call is replacement
+        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ToolPreInvokePayload, MelleaBasePayload)
+        payload = ToolPreInvokePayload(
+            session_id="s-tool", user_metadata={"source": "unit_test"}
+        )
+        assert payload.session_id == "s-tool"
+        assert payload.user_metadata == {"source": "unit_test"}
+
+
+class TestToolPostInvokePayload:
+    def test_defaults(self):
+        payload = ToolPostInvokePayload()
+        assert payload.model_tool_call is None
+        assert payload.tool_output is None
+        assert payload.tool_message is None
+        assert payload.execution_time_ms == 0
+        assert payload.success is True
+        assert payload.error is None
+
+    def test_construction_successful(self):
+        payload = ToolPostInvokePayload(
+            model_tool_call=_SENTINEL_TOOL_CALL,
+            tool_output={"results": ["Paris is the capital of France"]},
+            tool_message=_SENTINEL_TOOL_MESSAGE,
+            execution_time_ms=87,
+            success=True,
+            error=None,
+            request_id="r-tool-post-001",
+        )
+        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
+        assert payload.tool_output == {"results": ["Paris is the capital of France"]}
+        assert payload.tool_message is _SENTINEL_TOOL_MESSAGE
+        assert payload.execution_time_ms == 87
+        assert payload.success is True
+        assert payload.error is None
+
+    def test_construction_failed(self):
+        payload = ToolPostInvokePayload(
+            model_tool_call=_SENTINEL_TOOL_CALL,
+            success=False,
+            error=_SENTINEL_ERROR,
+            execution_time_ms=12,
+        )
+        assert payload.success is False
+        assert payload.error is _SENTINEL_ERROR
+        assert payload.tool_output is None
+
+    def test_frozen(self):
+        payload = ToolPostInvokePayload(success=True)
+        with pytest.raises(ValidationError):
+            payload.success = False
+
+    def test_frozen_model_tool_call(self):
+        payload = ToolPostInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
+        with pytest.raises(ValidationError):
+            payload.model_tool_call = None
+
+    def test_frozen_execution_time(self):
+        payload = ToolPostInvokePayload(execution_time_ms=50)
+        with pytest.raises(ValidationError):
+            payload.execution_time_ms = 100
+
+    def test_model_copy_creates_modified_copy(self):
+        payload = ToolPostInvokePayload(
+            model_tool_call=_SENTINEL_TOOL_CALL,
+            success=False,
+            error=_SENTINEL_ERROR,
+            execution_time_ms=10,
+        )
+        modified = payload.model_copy(
+            update={"success": True, "error": None, "execution_time_ms": 75}
+        )
+        assert modified.success is True
+        assert modified.error is None
+        assert modified.execution_time_ms == 75
+        assert payload.success is False
+        assert payload.error is _SENTINEL_ERROR
+        assert payload.execution_time_ms == 10
+        assert modified.model_tool_call is _SENTINEL_TOOL_CALL
+
+    def test_tool_output_various_types(self):
+        payload_str = ToolPostInvokePayload(tool_output="plain string result")
+        payload_dict = ToolPostInvokePayload(tool_output={"key": "value"})
+        payload_list = ToolPostInvokePayload(tool_output=[1, 2, 3])
+        assert payload_str.tool_output == "plain string result"
+        assert payload_dict.tool_output == {"key": "value"}
+        assert payload_list.tool_output == [1, 2, 3]
+
+    def test_inherits_base_fields(self):
+        assert issubclass(ToolPostInvokePayload, MelleaBasePayload)
+        payload = ToolPostInvokePayload(
+            session_id="s-tool-post",
+            hook="tool_post_invoke",
+            user_metadata={"retry": False},
+        )
+        assert payload.session_id == "s-tool-post"
+        assert payload.hook == "tool_post_invoke"
+        assert payload.user_metadata == {"retry": False}
diff --git a/test/plugins/test_blocking.py b/test/plugins/test_blocking.py
new file mode 100644
index 000000000..9920e890b
--- /dev/null
+++ b/test/plugins/test_blocking.py
@@ -0,0 +1,273 @@
+"""Tests for blocking behavior and PluginViolationError.
+
+Covers:
+- ``block()`` helper: return shape and field population
+- ``invoke_hook`` raising ``PluginViolationError`` when a plugin blocks (default behavior)
+- Calling the underlying ``PluginManager.invoke_hook`` with ``violations_as_exceptions=False``
+  to inspect the raw result without raising
+- Priority ordering: a blocking plugin at priority=1 stops downstream plugins at priority=100
+"""
+
+from __future__ import annotations
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import PluginMode, block, hook, modify, register
+from mellea.plugins.base import PluginViolationError
+from mellea.plugins.context import build_global_context
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import ensure_plugin_manager, invoke_hook, shutdown_plugins
+from mellea.plugins.types import HookType
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def _payload(**kwargs) -> SessionPreInitPayload:
+    defaults: dict = dict(backend_name="test-backend", model_id="test-model")
+    defaults.update(kwargs)
+    return SessionPreInitPayload(**defaults)
+
+
+async def _invoke_no_raise(payload: SessionPreInitPayload):
+    """Call the underlying ContextForge PluginManager directly with violations_as_exceptions=False.
+
+    Mellea's ``invoke_hook`` wrapper always raises ``PluginViolationError`` on a block.
+    To observe the raw ``PluginResult`` without raising, we bypass the wrapper and call
+    ``PluginManager.invoke_hook`` directly.
+    """
+    pm = ensure_plugin_manager()
+    ctx = build_global_context()
+    # Stamp the hook field the same way Mellea's wrapper would
+    stamped = payload.model_copy(update={"hook": HookType.SESSION_PRE_INIT.value})
+    result, _ = await pm.invoke_hook(
+        hook_type=HookType.SESSION_PRE_INIT.value,
+        payload=stamped,
+        global_context=ctx,
+        violations_as_exceptions=False,
+    )
+    return result
+
+
+# ---------------------------------------------------------------------------
+# Fixtures
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    """Shut down and reset the plugin manager after every test."""
+    yield
+    await shutdown_plugins()
+
+
+# ---------------------------------------------------------------------------
+# TestBlockHelper
+# ---------------------------------------------------------------------------
+
+
+class TestBlockHelper:
+    """Unit tests for the ``block()`` convenience helper."""
+
+    def test_block_basic_returns_non_continue_plugin_result(self) -> None:
+        result = block("something went wrong")
+
+        assert result.continue_processing is False
+        assert result.violation is not None
+        assert result.violation.reason == "something went wrong"
+
+    def test_block_with_all_args_populates_violation_fields(self) -> None:
+        extra = {"limit": 100, "used": 150}
+        result = block(
+            "Budget exceeded",
+            code="BUDGET_001",
+            description="The token budget for this request was exceeded.",
+            details=extra,
+        )
+
+        assert result.continue_processing is False
+        v = result.violation
+        assert v.reason == "Budget exceeded"
+        assert v.code == "BUDGET_001"
+        assert v.description == "The token budget for this request was exceeded."
+        assert v.details == extra
+
+    def test_block_without_code_defaults_to_empty_string(self) -> None:
+        result = block("No code provided")
+
+        assert result.violation.code == ""
+
+
+# ---------------------------------------------------------------------------
+# TestModifyHelper
+# ---------------------------------------------------------------------------
+
+
+class TestModifyHelper:
+    """Unit tests for the ``modify()`` convenience helper."""
+
+    def test_modify_returns_continue_processing_true(self) -> None:
+        payload = _payload()
+        result = modify(payload, backend_name="new-backend")
+
+        assert result.continue_processing is True
+
+    def test_modify_produces_modified_payload(self) -> None:
+        payload = _payload(backend_name="original")
+        result = modify(payload, backend_name="updated")
+
+        assert result.modified_payload is not None
+        assert result.modified_payload.backend_name == "updated"
+
+    def test_modify_does_not_mutate_original_payload(self) -> None:
+        payload = _payload(backend_name="original")
+        modify(payload, backend_name="updated")
+
+        assert payload.backend_name == "original"
+
+    def test_modify_preserves_unmodified_fields(self) -> None:
+        payload = _payload(backend_name="original", model_id="gpt-4")
+        result = modify(payload, backend_name="updated")
+
+        assert result.modified_payload.model_id == "gpt-4"
+
+    def test_modify_multiple_fields(self) -> None:
+        payload = _payload(backend_name="original", model_id="gpt-4")
+        result = modify(payload, backend_name="updated", model_id="gpt-4o")
+
+        assert result.modified_payload.backend_name == "updated"
+        assert result.modified_payload.model_id == "gpt-4o"
+
+    def test_modify_has_no_violation(self) -> None:
+        payload = _payload()
+        result = modify(payload, backend_name="new-backend")
+
+        assert result.violation is None
+
+    async def test_modify_returned_from_hook_updates_payload_seen_by_invoke_hook(
+        self,
+    ) -> None:
+        """A hook returning modify() causes invoke_hook to return the modified payload."""
+
+        @hook("session_pre_init")
+        async def swapper(payload, ctx):
+            return modify(payload, model_id="swapped")
+
+        register(swapper)
+        _, returned_payload = await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert returned_payload.model_id == "swapped"
+
+
+# ---------------------------------------------------------------------------
+# TestViolationError
+# ---------------------------------------------------------------------------
+
+
+class TestViolationError:
+    """Tests for PluginViolationError raised by Mellea's invoke_hook when a plugin blocks."""
+
+    async def test_blocking_plugin_raises_plugin_violation_error_by_default(
+        self,
+    ) -> None:
+        @hook("session_pre_init", priority=10)
+        async def blocking_plugin(payload, ctx):
+            return block("Access denied", code="AUTH_001")
+
+        register(blocking_plugin)
+
+        with pytest.raises(PluginViolationError):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+    async def test_violation_error_hook_type_matches_hook(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def blocking_plugin(payload, ctx):
+            return block("blocked")
+
+        register(blocking_plugin)
+
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert exc_info.value.hook_type == HookType.SESSION_PRE_INIT.value
+
+    async def test_violation_error_reason_matches_block_reason(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def blocking_plugin(payload, ctx):
+            return block("rate limit exceeded", code="RATE_001")
+
+        register(blocking_plugin)
+
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert exc_info.value.reason == "rate limit exceeded"
+
+    async def test_violation_error_str_contains_hook_type_and_reason(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def blocking_plugin(payload, ctx):
+            return block("forbidden content detected")
+
+        register(blocking_plugin)
+
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        error_str = str(exc_info.value)
+        assert HookType.SESSION_PRE_INIT.value in error_str
+        assert "forbidden content detected" in error_str
+
+    async def test_violations_as_exceptions_false_returns_result_without_raising(
+        self,
+    ) -> None:
+        @hook("session_pre_init", priority=10)
+        async def blocking_plugin(payload, ctx):
+            return block("blocked without raise", code="NO_RAISE_001")
+
+        register(blocking_plugin)
+
+        # Using the raw PluginManager call with violations_as_exceptions=False
+        result = await _invoke_no_raise(_payload())
+
+        assert result is not None
+        assert result.continue_processing is False
+        assert result.violation is not None
+        assert result.violation.reason == "blocked without raise"
+
+
+# ---------------------------------------------------------------------------
+# TestBlockingPreventsDownstreamPlugins
+# ---------------------------------------------------------------------------
+
+
+class TestBlockingPreventsDownstreamPlugins:
+    """A SEQUENTIAL blocking plugin yields continue_processing=False.
+
+    Note: cpex runs SEQUENTIAL plugins serially, so a blocking plugin at
+    lower priority stops downstream plugins from executing.  The blocking
+    result is detected and returned as continue_processing=False.
+    """
+
+    async def test_enforce_blocker_yields_false_continue_processing(self) -> None:
+        downstream_fired: list[bool] = []
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def early_blocker(payload, ctx):
+            return block("blocked early", code="EARLY_BLOCK")
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def late_recorder(payload, ctx):
+            downstream_fired.append(True)
+            return None
+
+        register(early_blocker)
+        register(late_recorder)
+
+        # Use violations_as_exceptions=False so we can inspect the result
+        result = await _invoke_no_raise(_payload())
+
+        # The block is detected and surfaced even though plugins ran in parallel
+        assert result.continue_processing is False
diff --git a/test/plugins/test_build_global_context.py b/test/plugins/test_build_global_context.py
new file mode 100644
index 000000000..a1af9f589
--- /dev/null
+++ b/test/plugins/test_build_global_context.py
@@ -0,0 +1,68 @@
+"""Tests for build_global_context() — the factory that maps Mellea domain objects
+to ContextForge's GlobalContext.state.
+"""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins.context import build_global_context
+
+
+class TestBuildGlobalContext:
+    """build_global_context() correctly maps Mellea domain objects to state."""
+
+    def test_backend_name_derived_from_model_id(self):
+        """state['backend_name'] is set from backend.model_id."""
+        mock_backend = MagicMock()
+        mock_backend.model_id = "ibm/granite-7b-instruct"
+
+        ctx = build_global_context(backend=mock_backend)
+        assert ctx.state["backend_name"] == "ibm/granite-7b-instruct"
+
+    def test_backend_name_fallback_when_no_model_id(self):
+        """state['backend_name'] falls back to 'unknown' if model_id is missing."""
+        mock_backend = MagicMock(spec=[])  # no model_id attribute
+
+        ctx = build_global_context(backend=mock_backend)
+        assert ctx.state["backend_name"] == "unknown"
+
+    def test_backend_object_not_in_state(self):
+        """The full backend object should NOT be stored in state."""
+        mock_backend = MagicMock()
+        mock_backend.model_id = "test-model"
+
+        ctx = build_global_context(backend=mock_backend)
+        assert "backend" not in ctx.state
+        assert ctx.state["backend_name"] == "test-model"
+
+    def test_backend_name_absent_when_not_provided(self):
+        """'backend_name' key is absent when backend=None."""
+        ctx = build_global_context()
+        assert "backend_name" not in ctx.state
+
+    def test_extra_fields_passed_through(self):
+        """Extra keyword arguments are included in state."""
+        ctx = build_global_context(
+            strategy_name="RejectionSampling", remaining_budget=3
+        )
+        assert ctx.state["strategy_name"] == "RejectionSampling"
+        assert ctx.state["remaining_budget"] == 3
+
+    def test_empty_call_returns_context(self):
+        """build_global_context() with no args returns a valid GlobalContext."""
+        ctx = build_global_context()
+        assert ctx is not None
+        assert isinstance(ctx.state, dict)
+
+    def test_extra_fields_do_not_override_reserved_keys(self):
+        """Extra fields with the same key as a domain object overwrite it (last-write wins)."""
+        mock_backend = MagicMock()
+        mock_backend.model_id = "test"
+        ctx = build_global_context(backend=mock_backend, backend_name="overridden")
+        # extra_fields are applied after backend_name is set, so they win
+        assert ctx.state["backend_name"] == "overridden"
diff --git a/test/plugins/test_decorators.py b/test/plugins/test_decorators.py
new file mode 100644
index 000000000..51ad5d2d7
--- /dev/null
+++ b/test/plugins/test_decorators.py
@@ -0,0 +1,86 @@
+"""Tests for the @hook decorator and Plugin base class."""
+
+from mellea.plugins.base import Plugin, PluginMeta
+from mellea.plugins.decorators import HookMeta, hook
+from mellea.plugins.types import PluginMode
+
+
+class TestHookDecorator:
+    def test_hook_attaches_metadata(self):
+        @hook("generation_pre_call")
+        async def my_hook(payload, ctx):
+            pass
+
+        assert hasattr(my_hook, "_mellea_hook_meta")
+        meta = my_hook._mellea_hook_meta
+        assert isinstance(meta, HookMeta)
+        assert meta.hook_type == "generation_pre_call"
+        assert meta.mode == PluginMode.SEQUENTIAL
+        assert (
+            meta.priority is None
+        )  # no explicit priority; resolves at registration time
+
+    def test_hook_custom_mode_and_priority(self):
+        @hook("component_post_success", mode=PluginMode.AUDIT, priority=10)
+        async def my_hook(payload, ctx):
+            pass
+
+        meta = my_hook._mellea_hook_meta
+        assert meta.mode == PluginMode.AUDIT
+        assert meta.priority == 10
+
+    def test_hook_fire_and_forget_mode(self):
+        @hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
+        async def my_hook(payload, ctx):
+            pass
+
+        meta = my_hook._mellea_hook_meta
+        assert meta.mode == PluginMode.FIRE_AND_FORGET
+
+    def test_hook_preserves_function(self):
+        @hook("generation_pre_call")
+        async def my_hook(payload, ctx):
+            return "result"
+
+        assert my_hook.__name__ == "my_hook"
+
+
+class TestPluginBaseClass:
+    def test_plugin_attaches_metadata(self):
+        class MyPlugin(Plugin, name="my-plugin"):
+            pass
+
+        assert hasattr(MyPlugin, "_mellea_plugin_meta")
+        meta = MyPlugin._mellea_plugin_meta
+        assert isinstance(meta, PluginMeta)
+        assert meta.name == "my-plugin"
+        assert meta.priority == 50
+
+    def test_plugin_custom_priority(self):
+        class MyPlugin(Plugin, name="my-plugin", priority=5):
+            pass
+
+        assert MyPlugin._mellea_plugin_meta.priority == 5  # type: ignore[attr-defined]
+
+    def test_plugin_preserves_class(self):
+        class MyPlugin(Plugin, name="my-plugin"):
+            def __init__(self):
+                self.value = 42
+
+        instance = MyPlugin()
+        assert instance.value == 42
+
+    def test_plugin_has_context_manager(self):
+        class MyPlugin(Plugin, name="my-plugin"):
+            pass
+
+        assert hasattr(MyPlugin, "__enter__")
+        assert hasattr(MyPlugin, "__exit__")
+        assert hasattr(MyPlugin, "__aenter__")
+        assert hasattr(MyPlugin, "__aexit__")
+
+    def test_plugin_without_name_skips_metadata(self):
+        class MyBase(Plugin):
+            pass
+
+        assert not hasattr(MyBase, "_mellea_plugin_meta")
diff --git a/test/plugins/test_execution_modes.py b/test/plugins/test_execution_modes.py
new file mode 100644
index 000000000..5a60676ab
--- /dev/null
+++ b/test/plugins/test_execution_modes.py
@@ -0,0 +1,644 @@
+"""Tests for hook execution modes.
+
+Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
+
+behavior summary
+-----------------
+- ``mode=SEQUENTIAL`` (default): serial, chained. Can block and modify payloads.
+
+- ``mode=TRANSFORM``: serial, chained. Can modify payloads but cannot block — blocking
+  results are suppressed.
+
+- ``mode=AUDIT``: serial, observe-only. Cannot block or modify — violations are logged
+  and payload modifications are discarded.
+
+- ``mode=CONCURRENT``: parallel, fail-fast. Can block but cannot modify — payload
+  modifications are discarded to avoid non-deterministic races.
+
+- ``mode=FIRE_AND_FORGET``: background ``asyncio.create_task``. Cannot block or modify.
+  Receives an isolated snapshot.
+"""
+
+from __future__ import annotations
+
+import asyncio
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import PluginMode, PluginResult, block, hook, register
+from mellea.plugins.base import PluginViolationError
+from mellea.plugins.hooks.generation import GenerationPreCallPayload
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import invoke_hook, shutdown_plugins
+from mellea.plugins.types import HookType, PluginMode
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def _session_payload(**kwargs) -> SessionPreInitPayload:
+    defaults: dict = dict(
+        backend_name="test-backend", model_id="test-model", model_options=None
+    )
+    defaults.update(kwargs)
+    return SessionPreInitPayload(**defaults)
+
+
+def _generation_payload(**kwargs) -> GenerationPreCallPayload:
+    defaults: dict = dict(model_options={"temperature": 0.7})
+    defaults.update(kwargs)
+    return GenerationPreCallPayload(**defaults)
+
+
+# ---------------------------------------------------------------------------
+# Fixtures
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture(autouse=True)
+async def cleanup_plugins():
+    """Reset plugin manager state after every test."""
+    yield
+    await shutdown_plugins()
+
+
+# ---------------------------------------------------------------------------
+# Enforce mode
+# ---------------------------------------------------------------------------
+
+
+class TestSequentialMode:
+    """mode=SEQUENTIAL is the default. Violations raise PluginViolationError."""
+
+    @pytest.mark.asyncio
+    async def test_blocking_plugin_raises_violation_error(self) -> None:
+        """A hook that returns block() in enforce mode causes invoke_hook to raise."""
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def enforced_blocker(payload, ctx):
+            return block("Access denied", code="AUTH_001")
+
+        register(enforced_blocker)
+
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        err = exc_info.value
+        assert err.hook_type == "session_pre_init"
+        assert err.reason == "Access denied"
+        assert err.code == "AUTH_001"
+
+    @pytest.mark.asyncio
+    async def test_non_blocking_plugin_returns_normally(self) -> None:
+        """A hook that returns continue_processing=True does not raise."""
+        invocations: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def observe_hook(payload, ctx):
+            invocations.append("fired")
+            return PluginResult(continue_processing=True)
+
+        register(observe_hook)
+
+        result, _returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, _session_payload()
+        )
+
+        assert invocations == ["fired"]
+        assert result is not None
+        assert result.continue_processing is True
+
+    @pytest.mark.asyncio
+    async def test_enforce_mode_writable_field_modification_is_accepted(self) -> None:
+        """A hook that modifies a writable field (model_id) has the change applied."""
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def rewrite_model(payload, ctx):
+            modified = payload.model_copy(update={"model_id": "gpt-4-turbo"})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(rewrite_model)
+
+        payload = _session_payload(model_id="gpt-3.5")
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        # session_pre_init policy marks model_id as a writable field
+        assert returned_payload.model_id == "gpt-4-turbo"
+
+    @pytest.mark.asyncio
+    async def test_enforce_stops_downstream_plugin_when_blocking(self) -> None:
+        """When an enforce plugin blocks, downstream plugins do not fire."""
+        downstream_calls: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def early_blocker(payload, ctx):
+            return block("Stopped early", code="STOP_001")
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT)
+        async def downstream_hook(payload, ctx):
+            downstream_calls.append("fired")
+            return None
+
+        register(early_blocker)
+        register(downstream_hook)
+
+        with pytest.raises(PluginViolationError):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # Downstream hook must not have executed because SEQUENTIAL short-circuits the chain
+        assert downstream_calls == []
+
+    @pytest.mark.asyncio
+    async def test_enforce_violation_error_carries_plugin_name(self) -> None:
+        """PluginViolationError includes the plugin_name set by ContextForge."""
+
+        @hook("generation_pre_call", mode=PluginMode.SEQUENTIAL)
+        async def named_blocker(payload, ctx):
+            return block("Rate limit exceeded", code="RATE_001")
+
+        register(named_blocker)
+
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.GENERATION_PRE_CALL, _generation_payload())
+
+        # ContextForge sets violation.plugin_name from the registered handler's name
+        assert exc_info.value.plugin_name != ""
+
+    @pytest.mark.asyncio
+    async def test_default_mode_is_sequential(self) -> None:
+        """@hook without an explicit mode defaults to SEQUENTIAL and raises on violation."""
+
+        @hook("session_pre_init")  # no mode= argument; default is SEQUENTIAL
+        async def default_mode_blocker(payload, ctx):
+            return block("Blocked by default-mode hook", code="DEFAULT_001")
+
+        register(default_mode_blocker)
+
+        with pytest.raises(PluginViolationError):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+    @pytest.mark.asyncio
+    async def test_enforce_none_return_does_not_raise(self) -> None:
+        """A hook returning None (no-op) in enforce mode does not raise."""
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def silent_hook(payload, ctx):
+            return None
+
+        register(silent_hook)
+
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, _session_payload()
+        )
+        # No exception; payload is unchanged
+        assert returned_payload.backend_name == "test-backend"
+
+
+# ---------------------------------------------------------------------------
+# Permissive mode
+# ---------------------------------------------------------------------------
+
+
+class TestAuditMode:
+    """mode=AUDIT: violations are logged but do not raise or stop execution."""
+
+    @pytest.mark.asyncio
+    async def test_blocking_permissive_plugin_does_not_raise(self) -> None:
+        """A blocking plugin in permissive mode must not raise PluginViolationError."""
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT)
+        async def permissive_blocker(payload, ctx):
+            return block("Would block, but permissive", code="PERM_001")
+
+        register(permissive_blocker)
+
+        # Must not raise
+        result, _returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, _session_payload()
+        )
+        # ContextForge execute() loop always returns continue_processing=True after
+        # a permissive violation because it continues iterating to end of the chain.
+        assert result is not None
+        assert result.continue_processing is True
+
+    @pytest.mark.asyncio
+    async def test_permissive_violation_does_not_stop_downstream_plugin(self) -> None:
+        """Downstream plugins still fire after a permissive plugin signals a violation."""
+        downstream_calls: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=5)
+        async def early_permissive_blocker(payload, ctx):
+            return block("Soft block", code="SOFT_001")
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
+        async def downstream_hook(payload, ctx):
+            downstream_calls.append("fired")
+            return None
+
+        register(early_permissive_blocker)
+        register(downstream_hook)
+
+        # Should not raise
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # Downstream hook must have executed despite the earlier permissive block
+        assert downstream_calls == ["fired"]
+
+    @pytest.mark.asyncio
+    async def test_permissive_non_blocking_hook_fires_normally(self) -> None:
+        """A permissive hook that continues fires and the call succeeds."""
+        invocations: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT)
+        async def permissive_observer(payload, ctx):
+            invocations.append(payload.backend_name)
+            return PluginResult(continue_processing=True)
+
+        register(permissive_observer)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert invocations == ["test-backend"]
+
+    @pytest.mark.asyncio
+    async def test_multiple_permissive_blocking_plugins_all_fire(self) -> None:
+        """Multiple permissive blocking plugins all execute; no exception is raised."""
+        fires: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=5)
+        async def first_permissive(payload, ctx):
+            fires.append("first")
+            return block("First block", code="P001")
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=10)
+        async def second_permissive(payload, ctx):
+            fires.append("second")
+            return block("Second block", code="P002")
+
+        register(first_permissive)
+        register(second_permissive)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert fires == ["first", "second"]
+
+    @pytest.mark.asyncio
+    async def test_permissive_blocking_followed_by_enforce_observer(self) -> None:
+        """A permissive blocker followed by a non-blocking enforce hook: both fire, and enforce goes first."""
+        order: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT)
+        async def permissive_block(payload, ctx):
+            order.append("permissive")
+            return block("Soft block", code="PERM_SIBLING")
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
+        async def enforce_observer(payload, ctx):
+            order.append("enforce")
+            return PluginResult(continue_processing=True)
+
+        register(permissive_block)
+        register(enforce_observer)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert order == ["enforce", "permissive"]
+
+    @pytest.mark.asyncio
+    async def test_audit_modification_is_discarded(self) -> None:
+        """AUDIT hooks are observe-only — payload modifications are discarded."""
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT)
+        async def audit_modifier(payload, ctx):
+            modified = payload.model_copy(update={"model_id": "audit-model"})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(audit_modifier)
+
+        payload = _session_payload(model_id="original-model")
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        assert returned_payload.model_id == "original-model"
+
+
+# ---------------------------------------------------------------------------
+# Fire-and-forget mode
+# ---------------------------------------------------------------------------
+
+
+class TestFireAndForgetMode:
+    """mode=FIRE_AND_FORGET: mapped to PluginMode.OBSERVE at the ContextForge level.
+
+    The Mellea registry maps PluginMode.FIRE_AND_FORGET to the ContextForge
+    PluginMode.OBSERVE (see mellea/plugins/registry.py).  Consequently:
+
+    - The hook is dispatched as a background asyncio.create_task (not awaited inline).
+    - Violations are logged but never raised as PluginViolationError.
+    - Payload modifications are discarded; the pipeline sees the original payload.
+    """
+
+    @pytest.mark.asyncio
+    async def test_fire_and_forget_hook_executes_as_background_task(self) -> None:
+        """A fire-and-forget hook fires as a background task and records its invocation."""
+        invocations: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
+        async def faf_observer(payload, ctx):
+            invocations.append("fired")
+            return PluginResult(continue_processing=True)
+
+        register(faf_observer)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # The hook runs as a background asyncio task; yield to the event loop to
+        # allow it to complete before asserting.
+        await asyncio.sleep(0.05)
+        assert invocations == ["fired"]
+
+    @pytest.mark.asyncio
+    async def test_fire_and_forget_blocking_does_not_raise(self) -> None:
+        """A blocking fire-and-forget hook does NOT raise PluginViolationError.
+
+        In OBSERVE mode violations are logged but never propagated — background
+        tasks cannot halt the pipeline.
+        """
+
+        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
+        async def faf_blocker(payload, ctx):
+            return block("FAF block", code="FAF_001")
+
+        register(faf_blocker)
+
+        # Should complete without raising even though the hook returns block().
+        result, _payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, _session_payload()
+        )
+        assert result is not None and result.continue_processing is True
+
+    @pytest.mark.asyncio
+    async def test_fire_and_forget_writable_field_modification_is_not_applied(
+        self,
+    ) -> None:
+        """A fire-and-forget hook that modifies a writable field does NOT affect the pipeline.
+
+        In OBSERVE mode the hook receives a copy of the payload; its modifications are
+        discarded and the original payload is returned to the caller unchanged.
+        """
+
+        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
+        async def faf_modifier(payload, ctx):
+            modified = payload.model_copy(update={"backend_name": "modified-backend"})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(faf_modifier)
+
+        payload = _session_payload(backend_name="original-backend")
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        assert returned_payload.backend_name == "original-backend"
+
+    @pytest.mark.asyncio
+    async def test_fire_and_forget_non_blocking_does_not_stop_downstream(self) -> None:
+        """A non-blocking fire-and-forget hook lets downstream plugins fire."""
+        order: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET, priority=5)
+        async def faf_first(payload, ctx):
+            order.append("faf")
+            return PluginResult(continue_processing=True)
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
+        async def enforce_second(payload, ctx):
+            order.append("enforce")
+            return PluginResult(continue_processing=True)
+
+        register(faf_first)
+        register(enforce_second)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        await asyncio.sleep(0.05)
+        assert order == ["enforce", "faf"]
+
+    @pytest.mark.asyncio
+    async def test_fire_and_forget_mode_stored_correctly_in_hook_meta(self) -> None:
+        """HookMeta records PluginMode.FIRE_AND_FORGET on the decorated function.
+
+        Verifies that the Mellea-layer decorator stores the correct mode enum value
+        regardless of how the ContextForge adapter maps it at registration time.
+        """
+        from mellea.plugins.decorators import HookMeta
+
+        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET, priority=25)
+        async def faf_fn(payload, ctx):
+            return None
+
+        meta: HookMeta = faf_fn._mellea_hook_meta
+        assert meta.mode == PluginMode.FIRE_AND_FORGET
+        assert meta.hook_type == "session_pre_init"
+        assert meta.priority == 25
+
+    @pytest.mark.asyncio
+    async def test_fire_and_forget_none_return_is_noop(self) -> None:
+        """A fire-and-forget hook returning None leaves the payload unchanged."""
+
+        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
+        async def faf_noop(payload, ctx):
+            return None
+
+        register(faf_noop)
+
+        payload = _session_payload(backend_name="unchanged")
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        assert returned_payload.backend_name == "unchanged"
+
+
+# ---------------------------------------------------------------------------
+# Transform mode
+# ---------------------------------------------------------------------------
+
+
+class TestTransformMode:
+    """TRANSFORM plugins can modify payloads but cannot block the pipeline."""
+
+    @pytest.mark.asyncio
+    async def test_transform_modifies_writable_field(self) -> None:
+        """A TRANSFORM hook can modify writable fields."""
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM)
+        async def xform_modifier(payload, ctx):
+            modified = payload.model_copy(update={"model_id": "transformed-model"})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(xform_modifier)
+
+        payload = _session_payload(model_id="original-model")
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        assert returned_payload.model_id == "transformed-model"
+
+    @pytest.mark.asyncio
+    async def test_transform_cannot_block(self) -> None:
+        """A TRANSFORM hook returning continue_processing=False is suppressed."""
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM)
+        async def xform_blocker(payload, ctx):
+            return block("Should be suppressed")
+
+        register(xform_blocker)
+
+        payload = _session_payload()
+        # Should NOT raise — blocking is suppressed for TRANSFORM
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+        assert returned_payload.backend_name == "test-backend"
+
+    @pytest.mark.asyncio
+    async def test_transform_chains_between_plugins(self) -> None:
+        """Two TRANSFORM hooks chain their modifications."""
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
+        async def xform_a(payload, ctx):
+            modified = payload.model_copy(update={"model_id": "step-a"})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=2)
+        async def xform_b(payload, ctx):
+            # Should see step-a from the previous plugin
+            modified = payload.model_copy(
+                update={"model_options": {"seen": payload.model_id}}
+            )
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(xform_a)
+        register(xform_b)
+
+        payload = _session_payload()
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        assert returned_payload.model_id == "step-a"
+        assert returned_payload.model_options == {"seen": "step-a"}
+
+    @pytest.mark.asyncio
+    async def test_transform_runs_after_sequential(self) -> None:
+        """TRANSFORM hooks run after SEQUENTIAL hooks regardless of priority."""
+        order: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=99)
+        async def seq_hook(payload, ctx):
+            order.append("sequential")
+            return None
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
+        async def xform_hook(payload, ctx):
+            order.append("transform")
+            return None
+
+        register(seq_hook)
+        register(xform_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert order == ["sequential", "transform"]
+
+    @pytest.mark.asyncio
+    async def test_transform_runs_before_audit(self) -> None:
+        """TRANSFORM hooks run before AUDIT hooks."""
+        order: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=1)
+        async def audit_hook(payload, ctx):
+            order.append("audit")
+            return None
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=99)
+        async def xform_hook(payload, ctx):
+            order.append("transform")
+            return None
+
+        register(audit_hook)
+        register(xform_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert order == ["transform", "audit"]
+
+
+# ---------------------------------------------------------------------------
+# Concurrent mode
+# ---------------------------------------------------------------------------
+
+
+class TestConcurrentMode:
+    """CONCURRENT plugins can block but cannot modify payloads."""
+
+    @pytest.mark.asyncio
+    async def test_concurrent_can_block(self) -> None:
+        """A CONCURRENT hook returning continue_processing=False raises."""
+
+        @hook("session_pre_init", mode=PluginMode.CONCURRENT)
+        async def conc_blocker(payload, ctx):
+            return block("Blocked by concurrent gate")
+
+        register(conc_blocker)
+
+        with pytest.raises(PluginViolationError):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+    @pytest.mark.asyncio
+    async def test_concurrent_modification_is_discarded(self) -> None:
+        """CONCURRENT hooks cannot modify payloads — modifications are discarded."""
+
+        @hook("session_pre_init", mode=PluginMode.CONCURRENT)
+        async def conc_modifier(payload, ctx):
+            modified = payload.model_copy(update={"model_id": "concurrent-model"})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(conc_modifier)
+
+        payload = _session_payload(model_id="original-model")
+        _result, returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+
+        assert returned_payload.model_id == "original-model"
+
+    @pytest.mark.asyncio
+    async def test_concurrent_runs_after_audit(self) -> None:
+        """CONCURRENT hooks run after AUDIT hooks."""
+        order: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.CONCURRENT, priority=1)
+        async def conc_hook(payload, ctx):
+            order.append("concurrent")
+            return None
+
+        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=99)
+        async def audit_hook(payload, ctx):
+            order.append("audit")
+            return None
+
+        register(conc_hook)
+        register(audit_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert order == ["audit", "concurrent"]
diff --git a/test/plugins/test_hook_call_sites.py b/test/plugins/test_hook_call_sites.py
new file mode 100644
index 000000000..5c0742b3c
--- /dev/null
+++ b/test/plugins/test_hook_call_sites.py
@@ -0,0 +1,962 @@
+"""Integration tests verifying that hooks fire at actual Mellea call sites.
+
+Each test registers a hook recorder, triggers the actual code path (Backend,
+functional.py, sampling/base.py, session.py), and asserts that the hook fired
+with the expected payload shape.
+
+All tests use lightweight mock backends so no real LLM API calls are made.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import datetime
+from typing import Any
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.core.backend import Backend
+from mellea.core.base import (
+    CBlock,
+    Context,
+    GenerateLog,
+    GenerateType,
+    ModelOutputThunk,
+)
+from mellea.plugins import PluginResult, hook, register
+from mellea.plugins.manager import shutdown_plugins
+from mellea.stdlib.context import SimpleContext
+
+# ---------------------------------------------------------------------------
+# Mock backend (module-level so it can be used as a class in session tests)
+# ---------------------------------------------------------------------------
+
+
+class _MockBackend(Backend):
+    """Minimal backend that returns a faked ModelOutputThunk — no LLM API calls."""
+
+    model_id = "mock-model"
+
+    def __init__(self, *args, **kwargs):
+        # Accept but discard constructor arguments; real backends need model_id etc.
+        pass
+
+    async def _generate_from_context(self, action, ctx, **kwargs):
+        mot = MagicMock(spec=ModelOutputThunk)
+        glog = GenerateLog()
+        glog.prompt = "mocked formatted prompt"
+        mot._generate_log = glog
+        mot.parsed_repr = None
+        mot._start = datetime.datetime.now()
+
+        async def _avalue():
+            return "mocked output"
+
+        mot.avalue = _avalue
+        mot.value = "mocked output string"  # SamplingResult requires a str .value
+        # Return a new SimpleContext to mimic real context evolution
+        new_ctx = SimpleContext()
+        return mot, new_ctx
+
+    async def generate_from_raw(self, actions, ctx, **kwargs):
+        # Required abstract method; not exercised by these tests
+        return []
+
+
+async def _noop_process(mot, chunk):
+    if mot._underlying_value is None:
+        mot._underlying_value = ""
+    mot._underlying_value += str(chunk)
+
+
+async def _noop_post_process(mot):
+    return
+
+
+def _make_thunk():
+    mot = ModelOutputThunk(value=None)
+    mot._generate_type = GenerateType.ASYNC
+    mot._process = _noop_process
+    mot._post_process = _noop_post_process
+    mot._action = CBlock("test")
+    mot._chunk_size = 0
+    mot._start = datetime.datetime.now()
+    return mot
+
+
+# ---------------------------------------------------------------------------
+# Fixtures
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    """Shut down and reset the plugin manager after every test."""
+    yield
+    await shutdown_plugins()
+
+
+# ---------------------------------------------------------------------------
+# Generation hook call sites
+# ---------------------------------------------------------------------------
+
+
+class TestGenerationHookCallSites:
+    """GENERATION_PRE_CALL and GENERATION_POST_CALL fire in Backend.generate_from_context()."""
+
+    async def test_generation_pre_call_fires_once(self) -> None:
+        """GENERATION_PRE_CALL fires exactly once per generate_from_context() call."""
+        observed: list[Any] = []
+
+        @hook("generation_pre_call")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        action = CBlock("hello world")
+        await backend.generate_from_context(action, MagicMock(spec=Context))
+
+        assert len(observed) == 1
+
+    async def test_generation_pre_call_payload_has_action_and_context(self) -> None:
+        """GENERATION_PRE_CALL payload carries the action CBlock and the context."""
+        observed: list[Any] = []
+
+        @hook("generation_pre_call")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        action = CBlock("specific input text")
+        mock_ctx = MagicMock(spec=Context)
+        await backend.generate_from_context(action, mock_ctx)
+
+        p = observed[0]
+
+        assert isinstance(p.action, CBlock)
+        assert p.action.value == action.value
+        assert p.context is not None
+
+    # TODO: JAL.
+    async def test_generation_post_call_fires_once(self) -> None:
+        """GENERATION_POST_CALL fires exactly once after generate_from_context() returns."""
+        observed: list[Any] = []
+
+        @hook("generation_post_call")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        mot = _make_thunk()
+        await mot._async_queue.put("hello")
+        await mot._async_queue.put("goodbye")
+        await mot._async_queue.put(None)  # sentinel for being done
+
+        await mot.avalue()
+        assert len(observed) == 1
+
+    # TODO: JAL.
+    async def test_generation_post_call_model_output_is_the_returned_thunk(
+        self,
+    ) -> None:
+        """GENERATION_POST_CALL payload.model_output IS the ModelOutputThunk returned."""
+        observed: list[Any] = []
+
+        @hook("generation_post_call")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        mot = _make_thunk()
+        await mot._async_queue.put("hello")
+        await mot._async_queue.put("goodbye")
+        await mot._async_queue.put(None)  # sentinel for being done
+        await mot.avalue()
+
+        assert observed[0].model_output is not None
+
+    # TODO: JAL.
+    async def test_generation_post_call_latency_ms_is_non_negative(self) -> None:
+        """GENERATION_POST_CALL payload.latency_ms >= 0."""
+        observed: list[Any] = []
+
+        @hook("generation_post_call")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        mot = _make_thunk()
+        await mot._async_queue.put("hello")
+        await mot._async_queue.put("goodbye")
+        await mot._async_queue.put(None)  # sentinel for being done
+
+        await asyncio.sleep(1)
+        await mot.avalue()
+
+        assert observed[0].latency_ms >= 0
+
+
+# ---------------------------------------------------------------------------
+# Component hook call sites
+# ---------------------------------------------------------------------------
+
+
+class TestComponentHookCallSites:
+    """Component hooks fire in ainstruct() and aact() in stdlib/functional.py."""
+
+    async def test_component_pre_execute_fires_in_aact(self) -> None:
+        """COMPONENT_PRE_EXECUTE fires in aact() before generation is called."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.functional import aact
+
+        observed: list[Any] = []
+
+        @hook("component_pre_execute")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        action = Instruction("Execute this")
+
+        await aact(action, ctx, backend, strategy=None)
+        assert len(observed) == 1
+
+    async def test_component_pre_execute_payload_has_live_action(self) -> None:
+        """COMPONENT_PRE_EXECUTE payload.action IS the same Component instance."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.functional import aact
+
+        observed: list[Any] = []
+
+        @hook("component_pre_execute")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        action = Instruction("Live reference test")
+
+        await aact(action, ctx, backend, strategy=None)
+        assert isinstance(observed[0].action, Instruction)
+        assert observed[0].action._description.value == action._description.value  # type: ignore[union-attr]
+
+    async def test_component_pre_execute_payload_component_type(self) -> None:
+        """COMPONENT_PRE_EXECUTE payload.component_type matches the action class name."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.functional import aact
+
+        observed: list[Any] = []
+
+        @hook("component_pre_execute")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        action = Instruction("Type check")
+
+        await aact(action, ctx, backend, strategy=None)
+        assert observed[0].component_type == "Instruction"
+
+    async def test_component_post_success_fires_in_aact(self) -> None:
+        """COMPONENT_POST_SUCCESS fires in aact() after successful generation."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.functional import aact
+
+        observed: list[Any] = []
+
+        @hook("component_post_success")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        action = Instruction("Success test")
+
+        _result, _new_ctx = await aact(action, ctx, backend, strategy=None)
+        assert len(observed) == 1
+
+    async def test_component_post_success_payload_has_correct_result_and_contexts(
+        self,
+    ) -> None:
+        """COMPONENT_POST_SUCCESS payload carries result, context_before, context_after."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.functional import aact
+
+        observed: list[Any] = []
+
+        @hook("component_post_success")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        action = Instruction("Payload check")
+
+        _result, _new_ctx = await aact(action, ctx, backend, strategy=None)
+
+        p = observed[0]
+
+        assert p.result is not None
+        assert p.context_before is not None
+        assert p.context_after is not None
+        assert p.action is not None
+        assert p.latency_ms >= 0
+
+
+# ---------------------------------------------------------------------------
+# Sampling hook call sites
+# ---------------------------------------------------------------------------
+
+
+class TestSamplingHookCallSites:
+    """SAMPLING_LOOP_START, SAMPLING_ITERATION, SAMPLING_LOOP_END fire in
+    BaseSamplingStrategy.sample()."""
+
+    async def test_sampling_loop_start_fires(self) -> None:
+        """SAMPLING_LOOP_START fires when RejectionSamplingStrategy.sample() begins."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[Any] = []
+
+        @hook("sampling_loop_start")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("Sample test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        assert len(observed) == 1
+
+    async def test_sampling_loop_start_payload_has_strategy_name(self) -> None:
+        """SAMPLING_LOOP_START payload.strategy_name contains the strategy class name."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[Any] = []
+
+        @hook("sampling_loop_start")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("Strategy name test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        assert "RejectionSampling" in observed[0].strategy_name
+
+    async def test_sampling_loop_start_payload_has_correct_loop_budget(self) -> None:
+        """SAMPLING_LOOP_START payload.loop_budget matches the strategy's loop_budget."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[Any] = []
+
+        @hook("sampling_loop_start")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=3)
+
+        await strategy.sample(
+            Instruction("Budget test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        assert observed[0].loop_budget == 3
+
+    async def test_sampling_iteration_fires_once_per_loop_iteration(self) -> None:
+        """SAMPLING_ITERATION fires once per loop iteration."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[Any] = []
+
+        @hook("sampling_iteration")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        # With loop_budget=1 and no requirements, exactly 1 iteration runs
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("Iteration test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        assert len(observed) == 1
+        assert observed[0].iteration == 1
+        assert observed[0].all_validations_passed is True  # no requirements → all pass
+
+    async def test_sampling_loop_end_fires_on_success_path(self) -> None:
+        """SAMPLING_LOOP_END fires with success=True when sampling succeeds."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[Any] = []
+
+        @hook("sampling_loop_end")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("End test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        assert len(observed) == 1
+        assert observed[0].success is True
+
+    async def test_sampling_loop_end_success_payload_has_final_result_and_context(
+        self,
+    ) -> None:
+        """SAMPLING_LOOP_END success payload has final_result and final_context populated."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[Any] = []
+
+        @hook("sampling_loop_end")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("Final payload test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        p = observed[0]
+        assert p.final_result is not None
+        assert p.final_context is not None
+        assert isinstance(p.all_results, list)
+        assert len(p.all_results) == 1  # one iteration, one result
+
+    async def test_sampling_loop_end_context_available_on_payload(self) -> None:
+        """On success, SAMPLING_LOOP_END payload carries final_context (post-generation)."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed_ctxs: list[Any] = []
+
+        @hook("sampling_loop_end")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed_ctxs.append(payload.final_context)
+            return None
+
+        register(recorder)
+        backend = _MockBackend()
+        original_ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("Context test"),
+            context=original_ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        # On success, the payload's final_context should be result_ctx (not original_ctx)
+        if observed_ctxs:
+            assert observed_ctxs[0] is not original_ctx, (
+                "Success path: payload.final_context should be result_ctx, not the original input context"
+            )
+
+    async def test_all_three_sampling_hooks_fire_in_order(self) -> None:
+        """SAMPLING_LOOP_START → SAMPLING_ITERATION → SAMPLING_LOOP_END order."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        order: list[str] = []
+
+        @hook("sampling_loop_start")
+        async def h1(payload: Any, ctx: Any) -> Any:
+            order.append("loop_start")
+            return None
+
+        @hook("sampling_iteration")
+        async def h2(payload: Any, ctx: Any) -> Any:
+            order.append("iteration")
+            return None
+
+        @hook("sampling_loop_end")
+        async def h3(payload: Any, ctx: Any) -> Any:
+            order.append("loop_end")
+            return None
+
+        register(h1)
+        register(h2)
+        register(h3)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        await strategy.sample(
+            Instruction("Order test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+        assert order == ["loop_start", "iteration", "loop_end"]
+
+
+# ---------------------------------------------------------------------------
+# Session hook call sites
+# ---------------------------------------------------------------------------
+
+
+class TestSessionHookCallSites:
+    """SESSION_PRE_INIT and SESSION_POST_INIT fire in start_session().
+
+    start_session() is a synchronous function that uses _run_async_in_thread
+    to invoke hooks.  These tests patch backend_name_to_class to avoid
+    instantiating a real LLM backend.
+    """
+
+    def test_session_pre_init_fires_during_start_session(self) -> None:
+        """SESSION_PRE_INIT fires once before the backend is instantiated."""
+        from mellea.stdlib.session import start_session
+
+        observed: list[Any] = []
+
+        @hook("session_pre_init")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        with patch(
+            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
+        ):
+            start_session("ollama", model_id="test-model")
+
+        assert len(observed) == 1
+
+    def test_session_pre_init_payload_has_backend_name_and_model_id(self) -> None:
+        """SESSION_PRE_INIT payload carries the backend_name and model_id passed to start_session."""
+        from mellea.stdlib.session import start_session
+
+        observed: list[Any] = []
+
+        @hook("session_pre_init")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        with patch(
+            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
+        ):
+            start_session("ollama", model_id="granite-3b-instruct")
+
+        p = observed[0]
+        assert p.backend_name == "ollama"
+        assert p.model_id == "granite-3b-instruct"
+
+    def test_session_post_init_fires_after_session_created(self) -> None:
+        """SESSION_POST_INIT fires once after the MelleaSession object is created."""
+        from mellea.stdlib.session import start_session
+
+        observed: list[Any] = []
+
+        @hook("session_post_init")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        with patch(
+            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
+        ):
+            start_session("ollama", model_id="test-model")
+
+        assert len(observed) == 1
+
+    def test_session_post_init_payload_has_session_metadata(self) -> None:
+        """SESSION_POST_INIT payload contains session_id, model_id, and context."""
+        from mellea.stdlib.session import start_session
+
+        observed: list[Any] = []
+
+        @hook("session_post_init")
+        async def recorder(payload: Any, ctx: Any) -> Any:
+            observed.append(payload)
+            return None
+
+        register(recorder)
+
+        with patch(
+            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
+        ):
+            session = start_session("ollama", model_id="test-model")
+
+        p = observed[0]
+        assert p.session_id == session.id
+        assert p.model_id == "test-model"
+        assert p.context is not None
+
+    def test_pre_init_fires_before_post_init(self) -> None:
+        """SESSION_PRE_INIT fires before SESSION_POST_INIT."""
+        from mellea.stdlib.session import start_session
+
+        order: list[str] = []
+
+        @hook("session_pre_init")
+        async def pre_recorder(payload: Any, ctx: Any) -> Any:
+            order.append("pre_init")
+            return None
+
+        @hook("session_post_init")
+        async def post_recorder(payload: Any, ctx: Any) -> Any:
+            order.append("post_init")
+            return None
+
+        register(pre_recorder)
+        register(post_recorder)
+
+        with patch(
+            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
+        ):
+            start_session("ollama", model_id="test-model")
+
+        assert order == ["pre_init", "post_init"]
+
+
+# ---------------------------------------------------------------------------
+# Mutation tests — verify that hook-modified payloads are actually applied
+# ---------------------------------------------------------------------------
+
+
+class TestGenerationPostCallObserveOnly:
+    """GENERATION_POST_CALL is observe-only — modifications are discarded."""
+
+    async def test_modification_discarded_on_eager_path(self) -> None:
+        """A plugin that tries to replace model_output has its change discarded."""
+        replacement = MagicMock(spec=ModelOutputThunk)
+        replacement._generate_log = None
+
+        @hook("generation_post_call")
+        async def swap_output(payload, *_):
+            modified = payload.model_copy(update={"model_output": replacement})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(swap_output)
+        backend = _MockBackend()
+        result, _ = await backend.generate_from_context(
+            CBlock("mutation test"), MagicMock(spec=Context)
+        )
+
+        # model_output is no longer writable — original is preserved
+        assert result is not replacement
+        assert isinstance(result, ModelOutputThunk)
+
+    async def test_no_modification_returns_original_output(self) -> None:
+        """When the hook returns None the original thunk is returned unchanged."""
+
+        @hook("generation_post_call")
+        async def observe_only(*_):
+            return None
+
+        register(observe_only)
+        backend = _MockBackend()
+        result, _ = await backend.generate_from_context(
+            CBlock("no-op test"), MagicMock(spec=Context)
+        )
+
+        assert result is not None
+        assert isinstance(result, ModelOutputThunk)
+
+
+# ---------------------------------------------------------------------------
+# Lazy/stream path MOT replacement
+# ---------------------------------------------------------------------------
+
+
+class _MockLazyBackend(Backend):
+    """Backend that returns a real lazy (uncomputed) ModelOutputThunk.
+
+    The MOT must be materialized via ``avalue()``/``astream()``, exercising
+    the ``_on_computed`` callback path.
+    """
+
+    model_id = "mock-lazy-model"
+
+    def __init__(self, *args, **kwargs):
+        pass
+
+    async def _generate_from_context(self, action, ctx, **kwargs):
+        import asyncio
+
+        mot = ModelOutputThunk(value=None)
+        mot._generate_type = GenerateType.ASYNC
+        mot._chunk_size = 0
+        mot._action = action
+
+        async def _process(thunk, chunk):
+            if thunk._underlying_value is None:
+                thunk._underlying_value = ""
+            thunk._underlying_value += str(chunk)
+
+        async def _post_process(thunk):
+            pass
+
+        mot._process = _process
+        mot._post_process = _post_process
+
+        glog = GenerateLog()
+        glog.prompt = "lazy mocked prompt"
+        mot._generate_log = glog
+
+        # Simulate async generation: enqueue chunks + sentinel
+        async def _generate():
+            await mot._async_queue.put("lazy output")
+            await mot._async_queue.put(None)  # sentinel
+
+        mot._generate = asyncio.ensure_future(_generate())
+
+        return mot, SimpleContext()
+
+    async def generate_from_raw(self, actions, ctx, **kwargs):
+        return []
+
+
+class TestGenerationPostCallObserveOnlyLazyPath:
+    """GENERATION_POST_CALL is observe-only on the lazy/stream path."""
+
+    async def test_modification_discarded_on_lazy_path(self) -> None:
+        """A plugin trying to replace model_output has its change discarded on lazy path."""
+        replacement = ModelOutputThunk(value="replaced output")
+        replacement_glog = GenerateLog()
+        replacement_glog.prompt = "replaced prompt"
+        replacement._generate_log = replacement_glog
+
+        @hook("generation_post_call")
+        async def swap_output(payload, *_):
+            modified = payload.model_copy(update={"model_output": replacement})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(swap_output)
+        backend = _MockLazyBackend()
+        result, _ = await backend.generate_from_context(
+            CBlock("lazy mutation test"), MagicMock(spec=Context)
+        )
+
+        # model_output is no longer writable — original value is preserved
+        await result.avalue()
+        assert result.value == "lazy output"
+
+    async def test_no_modification_preserves_original_on_lazy_path(self) -> None:
+        """When the hook returns None on the lazy path, the original MOT is unchanged."""
+
+        @hook("generation_post_call")
+        async def observe_only(*_):
+            return None
+
+        register(observe_only)
+        backend = _MockLazyBackend()
+        result, _ = await backend.generate_from_context(
+            CBlock("lazy no-op test"), MagicMock(spec=Context)
+        )
+
+        value = await result.avalue()
+        assert value == "lazy output"
+
+    async def test_hook_fires_exactly_once_on_lazy_path(self) -> None:
+        """GENERATION_POST_CALL fires exactly once even when avalue() is called after astream()."""
+        fire_count = 0
+
+        @hook("generation_post_call")
+        async def counter(*_):
+            nonlocal fire_count
+            fire_count += 1
+            return None
+
+        register(counter)
+        backend = _MockLazyBackend()
+        result, _ = await backend.generate_from_context(
+            CBlock("lazy fire-once test"), MagicMock(spec=Context)
+        )
+
+        await result.avalue()
+        # Second avalue call should not re-fire
+        await result.avalue()
+        assert fire_count == 1
+
+
+class TestSamplingLoopEndObserveOnly:
+    """SAMPLING_LOOP_END is observe-only — modifications are discarded."""
+
+    async def test_observe_only_on_success_path(self) -> None:
+        """Hook fires on success but cannot modify final_result."""
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[bool] = []
+
+        @hook("sampling_loop_end")
+        async def observe_success(payload, *_):
+            observed.append(payload.success)
+            return None
+
+        register(observe_success)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        sampling_result = await strategy.sample(
+            Instruction("observe test"),
+            context=ctx,
+            backend=backend,
+            requirements=[],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+
+        assert sampling_result.result is not None
+        assert isinstance(sampling_result.result, ModelOutputThunk)
+        assert observed == [True]
+
+    async def test_observe_only_on_failure_path(self) -> None:
+        """Hook fires on failure but cannot modify final_result."""
+        from mellea.core.requirement import Requirement, ValidationResult
+        from mellea.stdlib.components import Instruction
+        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
+
+        observed: list[bool] = []
+
+        @hook("sampling_loop_end")
+        async def observe_failure(payload, *_):
+            observed.append(payload.success)
+            return None
+
+        register(observe_failure)
+        backend = _MockBackend()
+        ctx = SimpleContext()
+
+        always_fail = Requirement(
+            description="always fails",
+            validation_fn=lambda _ctx: ValidationResult(
+                result=False, reason="forced failure"
+            ),
+        )
+        strategy = RejectionSamplingStrategy(loop_budget=1)
+
+        sampling_result = await strategy.sample(
+            Instruction("failure observe test"),
+            context=ctx,
+            backend=backend,
+            requirements=[always_fail],
+            format=None,
+            model_options=None,
+            tool_calls=False,
+            show_progress=False,
+        )
+
+        assert not sampling_result.success
+        assert sampling_result.result is not None
+        assert observed == [False]
+
+
+if __name__ == "__main__":
+    pytest.main([__file__])
diff --git a/test/plugins/test_manager.py b/test/plugins/test_manager.py
new file mode 100644
index 000000000..82761127b
--- /dev/null
+++ b/test/plugins/test_manager.py
@@ -0,0 +1,146 @@
+"""Tests for the plugin manager."""
+
+import pytest
+
+from mellea.plugins.base import MelleaBasePayload
+from mellea.plugins.manager import (
+    ensure_plugin_manager,
+    has_plugins,
+    invoke_hook,
+    shutdown_plugins,
+)
+from mellea.plugins.types import HookType, PluginMode
+
+# These tests require the contextforge plugin framework
+pytest.importorskip("cpex.framework")
+
+
+@pytest.fixture(autouse=True)
+async def cleanup_plugins():
+    """Ensure plugin manager is shut down after each test."""
+    yield
+    await shutdown_plugins()
+
+
+class TestNoOpGuards:
+    @pytest.mark.asyncio
+    async def test_invoke_hook_noop_when_no_plugins(self, request):
+        """When no plugins are registered, invoke_hook returns (None, original_payload)."""
+        plugins_disabled = request.config.getoption(
+            "--disable-default-mellea-plugins", default=False
+        )
+        if not plugins_disabled:
+            pytest.skip("must pass --disable-default-mellea-plugins for this test")
+        payload = MelleaBasePayload(request_id="test-123")
+        result, returned_payload = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+        assert result is None
+        assert returned_payload is payload
+
+    def test_has_plugins_false_by_default(self, request):
+        """has_plugins() returns False when no plugins have been registered."""
+        plugins_disabled = request.config.getoption(
+            "--disable-default-mellea-plugins", default=False
+        )
+        if not plugins_disabled:
+            pytest.skip("must pass --disable-default-mellea-plugins for this test")
+        # After shutdown, plugins should not be enabled
+        assert not has_plugins()
+
+
+class TestPluginManagerInit:
+    def test_ensure_plugin_manager_creates_manager(self):
+        pm = ensure_plugin_manager()
+        assert pm is not None
+        assert has_plugins()
+
+    def test_ensure_plugin_manager_idempotent(self):
+        pm1 = ensure_plugin_manager()
+        pm2 = ensure_plugin_manager()
+        # They may not be the same object due to Borg pattern, but should be functional
+        assert pm1 is not None
+        assert pm2 is not None
+
+
+class TestHookRegistration:
+    @pytest.mark.asyncio
+    async def test_register_and_invoke_standalone_hook(self):
+        from mellea.plugins import hook, register
+        from mellea.plugins.hooks.session import SessionPreInitPayload
+
+        invocations = []
+
+        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
+        async def test_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        register(test_hook)
+
+        payload = SessionPreInitPayload(
+            backend_name="openai", model_id="gpt-4", model_options=None
+        )
+        _result, _returned_payload = await invoke_hook(
+            HookType.SESSION_PRE_INIT, payload
+        )
+        assert len(invocations) == 1
+        assert invocations[0].backend_name == "openai"
+
+    @pytest.mark.asyncio
+    async def test_register_class_plugin(self):
+        from mellea.plugins import Plugin, hook, register
+        from mellea.plugins.hooks.session import SessionPreInitPayload
+
+        invocations = []
+
+        class TestPlugin(Plugin, name="test-class-plugin", priority=5):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                invocations.append(("pre_init", payload))
+                return None
+
+        register(TestPlugin())
+
+        payload = SessionPreInitPayload(
+            backend_name="openai", model_id="gpt-4", model_options=None
+        )
+        await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+        assert len(invocations) == 1
+        assert invocations[0][0] == "pre_init"
+
+    @pytest.mark.asyncio
+    async def test_register_plugin_set(self):
+        from mellea.plugins import PluginSet, hook, register
+        from mellea.plugins.hooks.session import SessionPreInitPayload
+
+        invocations = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            invocations.append("a")
+            return None
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            invocations.append("b")
+            return None
+
+        ps = PluginSet("test-set", [hook_a, hook_b])
+        register(ps)
+
+        payload = SessionPreInitPayload(
+            backend_name="openai", model_id="gpt-4", model_options=None
+        )
+        await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+        assert "a" in invocations
+        assert "b" in invocations
+
+
+class TestBlockHelper:
+    def test_block_returns_plugin_result(self):
+        from mellea.plugins import block
+
+        result = block("Budget exceeded", code="BUDGET_001")
+        assert result.continue_processing is False
+        assert result.violation is not None
+        assert result.violation.reason == "Budget exceeded"
+        assert result.violation.code == "BUDGET_001"
diff --git a/test/plugins/test_mellea_plugin.py b/test/plugins/test_mellea_plugin.py
new file mode 100644
index 000000000..7bd44ee56
--- /dev/null
+++ b/test/plugins/test_mellea_plugin.py
@@ -0,0 +1,173 @@
+"""Tests for Plugin base class typed accessors and lifecycle."""
+
+from __future__ import annotations
+
+from typing import Any
+from unittest.mock import MagicMock
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import Plugin, hook, register
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import invoke_hook, shutdown_plugins
+from mellea.plugins.types import HookType
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    yield
+    await shutdown_plugins()
+
+
+def _make_payload() -> SessionPreInitPayload:
+    return SessionPreInitPayload(
+        backend_name="test", model_id="test-model", model_options=None
+    )
+
+
+# ---------------------------------------------------------------------------
+# Typed context accessors
+# ---------------------------------------------------------------------------
+
+
+class TestGlobalContextAccessors:
+    """GlobalContext.state carries lightweight ambient metadata (backend_name)."""
+
+    async def test_backend_name_in_global_context(self) -> None:
+        """backend_name is set in GlobalContext.state when backend= is passed."""
+        received = []
+
+        class AccessorPlugin(Plugin, name="accessor-test-backend-name"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
+                received.append(ctx.global_context.state.get("backend_name"))
+                return None
+
+        mock_backend = MagicMock()
+        mock_backend.model_id = "mock-backend"
+        register(AccessorPlugin())
+        await invoke_hook(
+            HookType.SESSION_PRE_INIT, _make_payload(), backend=mock_backend
+        )
+        assert len(received) == 1
+        assert received[0] == "mock-backend"
+
+    async def test_backend_name_absent_when_not_passed(self) -> None:
+        """'backend_name' is absent from state when backend is not passed."""
+        received = []
+
+        class AccessorPlugin(Plugin, name="accessor-absent-backend"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
+                received.append("backend_name" in ctx.global_context.state)
+                return None
+
+        register(AccessorPlugin())
+        await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
+        assert received == [False]
+
+    async def test_full_backend_object_not_in_state(self) -> None:
+        """The full backend object should NOT be stored in GlobalContext.state."""
+        received = []
+
+        class AccessorPlugin(Plugin, name="accessor-no-full-backend"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
+                received.append("backend" in ctx.global_context.state)
+                return None
+
+        mock_backend = MagicMock()
+        mock_backend.model_id = "test"
+        register(AccessorPlugin())
+        await invoke_hook(
+            HookType.SESSION_PRE_INIT, _make_payload(), backend=mock_backend
+        )
+        assert received == [False]
+
+
+# ---------------------------------------------------------------------------
+# Plugin as context manager
+# ---------------------------------------------------------------------------
+
+
+class TestMelleaPluginContextManager:
+    """Plugin subclass instances can be used as context managers."""
+
+    async def test_mellea_plugin_fires_in_with_block(self) -> None:
+        """Plugin instance used as context manager fires its hooks."""
+        invocations: list = []
+
+        class CmPlugin(Plugin, name="cm-accessor-plugin"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
+                invocations.append(payload)
+                return None
+
+        p = CmPlugin()
+        with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
+
+        assert len(invocations) == 1
+
+    async def test_mellea_plugin_deregistered_after_with_block(self) -> None:
+        """Hooks deregister on context manager exit."""
+        invocations: list = []
+
+        class CmPlugin(Plugin, name="cm-deregister-plugin"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
+                invocations.append(payload)
+                return None
+
+        p = CmPlugin()
+        with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
+        assert len(invocations) == 1  # No new invocations outside block
+
+
+# ---------------------------------------------------------------------------
+# PluginViolationError attributes
+# ---------------------------------------------------------------------------
+
+
+class TestPluginViolationError:
+    """PluginViolationError carries structured information about the violation."""
+
+    async def test_violation_error_attributes(self) -> None:
+        """PluginViolationError.hook_type, .reason, .code are set from the violation."""
+        from mellea.plugins import block
+        from mellea.plugins.base import PluginViolationError
+
+        @hook("session_pre_init", priority=1)
+        async def blocking(payload: Any, ctx: Any) -> Any:
+            return block("Too expensive", code="BUDGET_001")
+
+        register(blocking)
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
+
+        err = exc_info.value
+        assert err.hook_type == "session_pre_init"
+        assert err.reason == "Too expensive"
+        assert err.code == "BUDGET_001"
+
+    async def test_violation_error_message_contains_context(self) -> None:
+        """str(PluginViolationError) includes hook type and reason."""
+        from mellea.plugins import block
+        from mellea.plugins.base import PluginViolationError
+
+        @hook("session_pre_init")
+        async def blocking(payload: Any, ctx: Any) -> Any:
+            return block("Unauthorized access", code="AUTH_403")
+
+        register(blocking)
+        with pytest.raises(PluginViolationError) as exc_info:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
+
+        msg = str(exc_info.value)
+        assert "session_pre_init" in msg
+        assert "Unauthorized access" in msg
diff --git a/test/plugins/test_payloads.py b/test/plugins/test_payloads.py
new file mode 100644
index 000000000..162763694
--- /dev/null
+++ b/test/plugins/test_payloads.py
@@ -0,0 +1,110 @@
+"""Tests for hook payload models."""
+
+import pytest
+from pydantic import ValidationError
+
+from mellea.plugins.base import MelleaBasePayload
+from mellea.plugins.hooks.component import ComponentPreExecutePayload
+from mellea.plugins.hooks.generation import GenerationPreCallPayload
+from mellea.plugins.hooks.session import SessionPreInitPayload
+
+
+class TestMelleaBasePayload:
+    def test_frozen(self):
+        payload = MelleaBasePayload(request_id="test-123")
+        with pytest.raises(ValidationError):
+            payload.request_id = "new-value"
+
+    def test_defaults(self):
+        payload = MelleaBasePayload()
+        assert payload.session_id is None
+        assert payload.request_id == ""
+        assert payload.hook == ""
+        assert payload.user_metadata == {}
+        assert payload.timestamp is not None
+
+    def test_model_copy(self):
+        payload = MelleaBasePayload(request_id="test-123", hook="test_hook")
+        modified = payload.model_copy(update={"request_id": "new-123"})
+        assert modified.request_id == "new-123"
+        assert modified.hook == "test_hook"
+        # Original unchanged
+        assert payload.request_id == "test-123"
+
+
+class TestSessionPreInitPayload:
+    def test_creation(self):
+        payload = SessionPreInitPayload(
+            backend_name="openai", model_id="gpt-4", model_options={"temperature": 0.7}
+        )
+        assert payload.backend_name == "openai"
+        assert payload.model_id == "gpt-4"
+        assert payload.model_options == {"temperature": 0.7}
+
+    def test_frozen(self):
+        payload = SessionPreInitPayload(backend_name="openai", model_id="gpt-4")
+        with pytest.raises(ValidationError):
+            payload.backend_name = "hf"
+
+    def test_model_copy_writable_fields(self):
+        payload = SessionPreInitPayload(
+            backend_name="openai", model_id="gpt-4", model_options=None
+        )
+        modified = payload.model_copy(
+            update={"model_id": "gpt-3.5", "model_options": {"temperature": 0.5}}
+        )
+        assert modified.model_id == "gpt-3.5"
+        assert modified.model_options == {"temperature": 0.5}
+
+
+class TestGenerationPreCallPayload:
+    def test_creation(self):
+        payload = GenerationPreCallPayload(
+            model_options={"max_tokens": 100}, format=None
+        )
+        assert payload.model_options == {"max_tokens": 100}
+        assert payload.format is None
+
+
+# ---------------------------------------------------------------------------
+# Payload field tests — all fields are strong references (no WeakProxy)
+# ---------------------------------------------------------------------------
+
+
+class _Dummy:
+    """A simple object for testing payload fields."""
+
+    def __init__(self, name: str = "dummy"):
+        self.name = name
+
+
+class TestPayloadFieldsAreStrongRefs:
+    """All payload fields store strong references to their values."""
+
+    def test_field_stores_original_object(self):
+        original = _Dummy("original")
+        payload = ComponentPreExecutePayload(action=original)
+        assert payload.action is original
+
+    def test_modified_field_readable_after_model_copy(self):
+        original = _Dummy("original")
+        replacement = _Dummy("replaced")
+        payload = ComponentPreExecutePayload(action=original)
+        modified = payload.model_copy(update={"action": replacement})
+        assert modified.action.name == "replaced"
+        assert payload.action.name == "original"
+
+    def test_writable_fields_in_policies(self):
+        """Writable fields should be listed in their hook policies."""
+        from mellea.plugins.policies import MELLEA_HOOK_PAYLOAD_POLICIES
+
+        policy = MELLEA_HOOK_PAYLOAD_POLICIES["component_pre_execute"]
+        assert "action" not in policy.writable_fields
+        assert "context" not in policy.writable_fields
+        assert "context_view" not in policy.writable_fields
+        assert "strategy" in policy.writable_fields
+
+        assert "sampling_repair" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "sampling_loop_end" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "component_post_success" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "generation_post_call" not in MELLEA_HOOK_PAYLOAD_POLICIES
diff --git a/test/plugins/test_pluginset.py b/test/plugins/test_pluginset.py
new file mode 100644
index 000000000..6acbda7aa
--- /dev/null
+++ b/test/plugins/test_pluginset.py
@@ -0,0 +1,55 @@
+"""Tests for PluginSet."""
+
+from mellea.plugins.pluginset import PluginSet
+
+
+class TestPluginSet:
+    def test_basic_creation(self):
+        ps = PluginSet("test", [1, 2, 3])
+        assert ps.name == "test"
+        assert len(ps.items) == 3
+        assert ps.priority is None
+
+    def test_with_priority(self):
+        ps = PluginSet("test", [1], priority=10)
+        assert ps.priority == 10
+
+    def test_flatten_simple(self):
+        ps = PluginSet("test", ["a", "b", "c"], priority=5)
+        result = ps.flatten()
+        assert result == [("a", 5), ("b", 5), ("c", 5)]
+
+    def test_flatten_no_priority(self):
+        ps = PluginSet("test", ["a", "b"])
+        result = ps.flatten()
+        assert result == [("a", None), ("b", None)]
+
+    def test_flatten_nested(self):
+        inner = PluginSet("inner", ["x", "y"], priority=10)
+        outer = PluginSet("outer", [inner, "z"], priority=20)
+        result = outer.flatten()
+        # outer's priority overrides inner's priority for ALL items (including nested)
+        assert result == [("x", 20), ("y", 20), ("z", 20)]
+
+    def test_flatten_nested_no_outer_priority(self):
+        inner = PluginSet("inner", ["x", "y"], priority=10)
+        outer = PluginSet("outer", [inner, "z"])  # no priority on outer
+        result = outer.flatten()
+        # outer has no priority → inner items keep inner's priority; direct items get None
+        assert result == [("x", 10), ("y", 10), ("z", None)]
+
+    def test_flatten_deeply_nested(self):
+        deep = PluginSet("deep", ["a"], priority=1)
+        mid = PluginSet("mid", [deep, "b"], priority=2)
+        top = PluginSet("top", [mid, "c"], priority=3)
+        result = top.flatten()
+        # The outermost set's priority wins for all nested items
+        assert result == [("a", 3), ("b", 3), ("c", 3)]
+
+    def test_repr(self):
+        ps = PluginSet("security", [1, 2])
+        assert repr(ps) == "PluginSet('security', 2 items)"
+
+    def test_scope_id_initially_none(self):
+        ps = PluginSet("test", [1, 2])
+        assert ps._scope_id is None
diff --git a/test/plugins/test_policies.py b/test/plugins/test_policies.py
new file mode 100644
index 000000000..ad78d7fce
--- /dev/null
+++ b/test/plugins/test_policies.py
@@ -0,0 +1,50 @@
+"""Tests for hook payload policies."""
+
+from mellea.plugins.policies import MELLEA_HOOK_PAYLOAD_POLICIES
+
+
+class TestPolicies:
+    def test_policies_loaded(self):
+        """Policy table should be populated when contextforge is available."""
+        assert len(MELLEA_HOOK_PAYLOAD_POLICIES) > 0
+
+    def test_session_pre_init_policy(self):
+        policy = MELLEA_HOOK_PAYLOAD_POLICIES.get("session_pre_init")
+        assert policy is not None
+        assert "backend_name" not in policy.writable_fields
+        assert "model_id" in policy.writable_fields
+        assert "model_options" in policy.writable_fields
+        assert "backend_kwargs" not in policy.writable_fields
+
+    def test_generation_pre_call_policy(self):
+        policy = MELLEA_HOOK_PAYLOAD_POLICIES.get("generation_pre_call")
+        assert policy is not None
+        assert "model_options" in policy.writable_fields
+        assert "format" in policy.writable_fields
+
+    def test_observe_only_hooks_absent(self):
+        """Observe-only hooks should not have entries in the policy table."""
+        assert "session_post_init" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "session_reset" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "session_cleanup" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "component_post_success" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "component_post_error" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "generation_post_call" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "sampling_iteration" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "sampling_repair" not in MELLEA_HOOK_PAYLOAD_POLICIES
+        assert "sampling_loop_end" not in MELLEA_HOOK_PAYLOAD_POLICIES
+
+    def test_validation_policies(self):
+        policy = MELLEA_HOOK_PAYLOAD_POLICIES.get("validation_pre_check")
+        assert policy is not None
+        assert "requirements" in policy.writable_fields
+
+        policy = MELLEA_HOOK_PAYLOAD_POLICIES.get("validation_post_check")
+        assert policy is not None
+        assert "results" in policy.writable_fields
+        assert "all_validations_passed" in policy.writable_fields
+
+    def test_sampling_policies(self):
+        policy = MELLEA_HOOK_PAYLOAD_POLICIES.get("sampling_loop_start")
+        assert policy is not None
+        assert "loop_budget" in policy.writable_fields
diff --git a/test/plugins/test_policy_enforcement.py b/test/plugins/test_policy_enforcement.py
new file mode 100644
index 000000000..b80a99128
--- /dev/null
+++ b/test/plugins/test_policy_enforcement.py
@@ -0,0 +1,329 @@
+"""End-to-end tests for payload policy enforcement through invoke_hook.
+
+The plugin manager applies ``HookPayloadPolicy`` after each plugin returns:
+only changes to ``writable_fields`` are accepted; all other mutations are
+silently discarded.  Hooks absent from the policy table are observe-only
+and reject every modification attempt.
+"""
+
+from __future__ import annotations
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import PluginMode, PluginResult, hook, register
+from mellea.plugins.hooks.component import ComponentPostErrorPayload
+from mellea.plugins.hooks.generation import GenerationPreCallPayload
+from mellea.plugins.hooks.sampling import SamplingIterationPayload
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import invoke_hook, shutdown_plugins
+from mellea.plugins.types import HookType
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def _session_payload(**kwargs) -> SessionPreInitPayload:
+    defaults: dict = dict(backend_name="original-backend", model_id="original-model")
+    defaults.update(kwargs)
+    return SessionPreInitPayload(**defaults)
+
+
+def _generation_payload(**kwargs) -> GenerationPreCallPayload:
+    defaults: dict = dict(
+        model_options={"temperature": 0.5}, formatted_prompt="original prompt"
+    )
+    defaults.update(kwargs)
+    return GenerationPreCallPayload(**defaults)
+
+
+# ---------------------------------------------------------------------------
+# Fixtures
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    """Shut down and reset the plugin manager after every test."""
+    yield
+    await shutdown_plugins()
+
+
+# ---------------------------------------------------------------------------
+# TestWritableFieldAccepted
+# ---------------------------------------------------------------------------
+
+
+class TestWritableFieldAccepted:
+    """Modifications to writable fields must be reflected in the returned payload."""
+
+    async def test_model_id_writable_in_session_pre_init(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def change_model(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"model_id": "plugin-model"}
+                ),
+            )
+
+        register(change_model)
+
+        payload = _session_payload()
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        assert returned.model_id == "plugin-model"
+
+    async def test_model_options_writable_in_generation_pre_call(self) -> None:
+        new_options = {"temperature": 0.9, "max_tokens": 512}
+
+        @hook("generation_pre_call", priority=10)
+        async def change_options(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"model_options": new_options}
+                ),
+            )
+
+        register(change_options)
+
+        payload = _generation_payload()
+        _, returned = await invoke_hook(HookType.GENERATION_PRE_CALL, payload)
+
+        assert returned.model_options == new_options
+
+
+# ---------------------------------------------------------------------------
+# TestNonWritableFieldDiscarded
+# ---------------------------------------------------------------------------
+
+
+class TestNonWritableFieldDiscarded:
+    """Modifications to non-writable base fields must be silently discarded."""
+
+    async def test_session_id_non_writable_in_session_pre_init(self) -> None:
+        original_session_id = "original-session-id"
+
+        @hook("session_pre_init", priority=10)
+        async def tamper_session_id(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"session_id": "tampered-session-id"}
+                ),
+            )
+
+        register(tamper_session_id)
+
+        payload = _session_payload(session_id=original_session_id)
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        # session_id is a base payload field, not in the writable set — must be discarded
+        assert returned.session_id == original_session_id
+
+    async def test_hook_field_non_writable_in_session_pre_init(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def tamper_hook_field(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"hook": "injected-hook-value"}
+                ),
+            )
+
+        register(tamper_hook_field)
+
+        payload = _session_payload()
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        # hook field is set by the dispatcher — plugin cannot override it
+        assert returned.hook == HookType.SESSION_PRE_INIT.value
+
+
+# ---------------------------------------------------------------------------
+# TestObserveOnlyHookAcceptsAll
+# ---------------------------------------------------------------------------
+
+
+class TestObserveOnlyHookRejectsModifications:
+    """Hooks absent from the policy table are 'observe-only': the PluginManager enforces
+    DefaultHookPolicy.DENY, silently discarding all plugin-proposed modifications.
+    """
+
+    async def test_error_type_rejected_in_component_post_error(self) -> None:
+        """component_post_error is observe-only — plugin modifications are discarded."""
+        original_error_type = "ValueError"
+
+        @hook("component_post_error", priority=10)
+        async def tamper_error_type(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"error_type": "HackedError"}
+                ),
+            )
+
+        register(tamper_error_type)
+
+        payload = ComponentPostErrorPayload(
+            component_type="Instruction", error_type=original_error_type
+        )
+        _, returned = await invoke_hook(HookType.COMPONENT_POST_ERROR, payload)
+
+        # DefaultHookPolicy.DENY is now enforced: modification is silently discarded.
+        assert returned.error_type == original_error_type
+
+    async def test_all_validations_passed_rejected_in_sampling_iteration(self) -> None:
+        """sampling_iteration is observe-only — plugin modifications are discarded."""
+
+        @hook("sampling_iteration", priority=10)
+        async def tamper_all_validations_passed(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"all_validations_passed": True}
+                ),
+            )
+
+        register(tamper_all_validations_passed)
+
+        payload = SamplingIterationPayload(iteration=1, all_validations_passed=False)
+        _, returned = await invoke_hook(HookType.SAMPLING_ITERATION, payload)
+
+        # DefaultHookPolicy.DENY is now enforced: modification is silently discarded.
+        assert returned.all_validations_passed is False
+
+
+# ---------------------------------------------------------------------------
+# TestMixedModification
+# ---------------------------------------------------------------------------
+
+
+class TestMixedModification:
+    """When a plugin modifies both writable and non-writable fields, only writable ones survive."""
+
+    async def test_writable_accepted_non_writable_discarded(self) -> None:
+        original_session_id = "original-sid"
+        original_request_id = "original-rid"
+
+        @hook("session_pre_init", priority=10)
+        async def mixed_changes(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={
+                        # writable — should be accepted
+                        "model_id": "new-model",
+                        "model_options": {"temperature": 0.9},
+                        # non-writable — should be discarded
+                        "backend_name": "new-backend",
+                        "session_id": "injected-sid",
+                        "request_id": "injected-rid",
+                    }
+                ),
+            )
+
+        register(mixed_changes)
+
+        payload = _session_payload(
+            session_id=original_session_id, request_id=original_request_id
+        )
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        assert returned.model_id == "new-model"
+        assert returned.model_options == {"temperature": 0.9}
+        assert returned.backend_name == "original-backend"
+        assert returned.session_id == original_session_id
+        assert returned.request_id == original_request_id
+
+
+# ---------------------------------------------------------------------------
+# TestPayloadChaining
+# ---------------------------------------------------------------------------
+
+
+class TestPayloadChaining:
+    """Accepted changes from Plugin A must be visible to Plugin B during the same invocation."""
+
+    async def test_plugin_b_receives_plugin_a_changes(self) -> None:
+        received_by_b: list[str] = []
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
+        async def plugin_a(payload, ctx):
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"model_id": "modified-by-a"}
+                ),
+            )
+
+        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=100)
+        async def plugin_b(payload, ctx):
+            # Record the model_id seen by Plugin B, then write model_options
+            received_by_b.append(payload.model_id)
+            return PluginResult(
+                continue_processing=True,
+                modified_payload=payload.model_copy(
+                    update={"model_options": {"temperature": 0.9}}
+                ),
+            )
+
+        register(plugin_a)
+        register(plugin_b)
+
+        payload = _session_payload()
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        # Plugin B must have observed Plugin A's accepted model_id change
+        assert received_by_b == ["modified-by-a"]
+
+        # Final payload must carry both accepted modifications
+        assert returned.model_id == "modified-by-a"
+        assert returned.model_options == {"temperature": 0.9}
+
+
+# ---------------------------------------------------------------------------
+# TestReturnNoneIsNoop
+# ---------------------------------------------------------------------------
+
+
+class TestReturnNoneIsNoop:
+    """A plugin that returns ``None`` must leave the payload entirely unchanged."""
+
+    async def test_none_return_preserves_original_payload(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def noop_plugin(payload, ctx):
+            return None  # Returning None signals: no change
+
+        register(noop_plugin)
+
+        payload = _session_payload()
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        assert returned.backend_name == "original-backend"
+        assert returned.model_id == "original-model"
+
+
+# ---------------------------------------------------------------------------
+# TestReturnContinueTrueNoPayload
+# ---------------------------------------------------------------------------
+
+
+class TestReturnContinueTrueNoPayload:
+    """PluginResult(continue_processing=True) with no modified_payload must be a no-op."""
+
+    async def test_continue_true_without_payload_leaves_original(self) -> None:
+        @hook("session_pre_init", priority=10)
+        async def signal_only_plugin(payload, ctx):
+            return PluginResult(continue_processing=True)  # no modified_payload
+
+        register(signal_only_plugin)
+
+        payload = _session_payload()
+        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
+
+        assert returned.backend_name == "original-backend"
+        assert returned.model_id == "original-model"
diff --git a/test/plugins/test_priority_ordering.py b/test/plugins/test_priority_ordering.py
new file mode 100644
index 000000000..0450e144f
--- /dev/null
+++ b/test/plugins/test_priority_ordering.py
@@ -0,0 +1,483 @@
+"""Tests for priority-based hook execution ordering.
+
+Priority rules (actual framework behavior)
+--------------------------------------------
+- Lower priority numbers execute FIRST (priority=1 runs before priority=50 before priority=100).
+- Resolution order: PluginSet override > @hook priority > Plugin class priority > 50.
+- Plugin class-level priority is the DEFAULT for methods; @hook(priority=N) overrides it per method.
+- PluginSet.priority OVERRIDES the priority of all items in the set, including items with
+  explicit @hook priorities.
+"""
+
+from __future__ import annotations
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import Plugin, PluginSet, hook, register
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import invoke_hook, shutdown_plugins
+from mellea.plugins.types import HookType
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+def _session_payload() -> SessionPreInitPayload:
+    return SessionPreInitPayload(
+        backend_name="test-backend", model_id="test-model", model_options=None
+    )
+
+
+# ---------------------------------------------------------------------------
+# Fixtures
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture(autouse=True)
+async def cleanup_plugins():
+    """Reset plugin manager state after every test."""
+    yield
+    await shutdown_plugins()
+
+
+# ---------------------------------------------------------------------------
+# Priority ordering
+# ---------------------------------------------------------------------------
+
+
+class TestPriorityOrdering:
+    """Lower numeric priority values run first."""
+
+    @pytest.mark.asyncio
+    async def test_three_hooks_fire_in_ascending_priority_order(self) -> None:
+        """Hooks at priorities 30, 10, 50 execute in order [10, 30, 50]."""
+        execution_order: list[int] = []
+
+        @hook("session_pre_init", priority=30)
+        async def hook_priority_30(payload, ctx):
+            execution_order.append(30)
+            return None
+
+        @hook("session_pre_init", priority=10)
+        async def hook_priority_10(payload, ctx):
+            execution_order.append(10)
+            return None
+
+        @hook("session_pre_init", priority=50)
+        async def hook_priority_50(payload, ctx):
+            execution_order.append(50)
+            return None
+
+        register(hook_priority_30)
+        register(hook_priority_10)
+        register(hook_priority_50)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order == [10, 30, 50]
+
+    @pytest.mark.asyncio
+    async def test_two_hooks_at_same_priority_both_fire(self) -> None:
+        """Two hooks at the same priority both execute (order unspecified)."""
+        fired: set[str] = set()
+
+        @hook("session_pre_init", priority=50)
+        async def hook_a(payload, ctx):
+            fired.add("a")
+            return None
+
+        @hook("session_pre_init", priority=50)
+        async def hook_b(payload, ctx):
+            fired.add("b")
+            return None
+
+        register(hook_a)
+        register(hook_b)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert fired == {"a", "b"}
+
+    @pytest.mark.asyncio
+    async def test_default_priority_50_fires_after_priority_1_before_priority_100(
+        self,
+    ) -> None:
+        """Default priority (50) fires after priority=1 and before priority=100."""
+        execution_order: list[str] = []
+
+        @hook("session_pre_init", priority=1)
+        async def very_high_priority(payload, ctx):
+            execution_order.append("priority_1")
+            return None
+
+        @hook("session_pre_init")  # default priority=50
+        async def default_priority(payload, ctx):
+            execution_order.append("priority_default")
+            return None
+
+        @hook("session_pre_init", priority=100)
+        async def low_priority(payload, ctx):
+            execution_order.append("priority_100")
+            return None
+
+        register(very_high_priority)
+        register(default_priority)
+        register(low_priority)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order.index("priority_1") < execution_order.index(
+            "priority_default"
+        )
+        assert execution_order.index("priority_default") < execution_order.index(
+            "priority_100"
+        )
+
+    @pytest.mark.asyncio
+    async def test_priority_ordering_is_independent_of_registration_order(self) -> None:
+        """Execution order is determined by priority, not the order hooks are registered."""
+        execution_order: list[str] = []
+
+        # Register high number (low priority) first
+        @hook("session_pre_init", priority=90)
+        async def registered_first_low_priority(payload, ctx):
+            execution_order.append("90")
+            return None
+
+        # Register low number (high priority) second
+        @hook("session_pre_init", priority=10)
+        async def registered_second_high_priority(payload, ctx):
+            execution_order.append("10")
+            return None
+
+        register(registered_first_low_priority)
+        register(registered_second_high_priority)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # priority=10 must run before priority=90 regardless of registration order
+        assert execution_order == ["10", "90"]
+
+    @pytest.mark.asyncio
+    async def test_five_hooks_fire_in_strict_ascending_order(self) -> None:
+        """Five hooks with distinct priorities fire in fully sorted order."""
+        execution_order: list[int] = []
+
+        # Note: each hook must have a unique function name because the plugin registry
+        # uses the function name as an identifier and raises ValueError on duplicates.
+        @hook("session_pre_init", priority=75)
+        async def _h75(payload, ctx):
+            execution_order.append(75)
+            return None
+
+        @hook("session_pre_init", priority=25)
+        async def _h25(payload, ctx):
+            execution_order.append(25)
+            return None
+
+        @hook("session_pre_init", priority=5)
+        async def _h5(payload, ctx):
+            execution_order.append(5)
+            return None
+
+        @hook("session_pre_init", priority=100)
+        async def _h100(payload, ctx):
+            execution_order.append(100)
+            return None
+
+        @hook("session_pre_init", priority=50)
+        async def _h50(payload, ctx):
+            execution_order.append(50)
+            return None
+
+        for h in (_h75, _h25, _h5, _h100, _h50):
+            register(h)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order == [5, 25, 50, 75, 100]
+
+
+# ---------------------------------------------------------------------------
+# Priority inheritance
+# ---------------------------------------------------------------------------
+
+
+class TestPriorityInheritance:
+    """Plugin class-level priority is the default; @hook method priority overrides it."""
+
+    @pytest.mark.asyncio
+    async def test_plugin_class_priority_applies_to_method_without_explicit_priority(
+        self,
+    ) -> None:
+        """A Plugin with priority=5 makes its @hook method (no explicit priority) fire before a default-priority hook."""
+        execution_order: list[str] = []
+
+        class EarlyPlugin(Plugin, name="high-priority-class-plugin", priority=5):
+            @hook(
+                "session_pre_init"
+            )  # no explicit priority — inherits class priority=5
+            async def on_pre_init(self, payload, ctx):
+                execution_order.append("class_plugin_p5")
+                return None
+
+        @hook("session_pre_init", priority=50)  # default priority
+        async def default_hook(payload, ctx):
+            execution_order.append("default_p50")
+            return None
+
+        register(EarlyPlugin())
+        register(default_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order.index("class_plugin_p5") < execution_order.index(
+            "default_p50"
+        )
+
+    @pytest.mark.asyncio
+    async def test_hook_decorator_priority_overrides_plugin_class_priority(
+        self,
+    ) -> None:
+        """@hook(priority=80) on a method overrides Plugin(priority=5) on the class.
+
+        The method-level @hook priority takes precedence over the class-level default.
+        So a Plugin(priority=5) method with @hook(priority=80) fires at effective priority=80.
+        """
+        execution_order: list[str] = []
+
+        class PluginWithMethodPriority(
+            Plugin, name="low-effective-priority-plugin", priority=5
+        ):
+            @hook(
+                "session_pre_init", priority=80
+            )  # @hook priority=80 overrides class priority=5
+            async def on_pre_init(self, payload, ctx):
+                execution_order.append("method_p80")
+                return None
+
+        @hook("session_pre_init", priority=50)
+        async def mid_hook(payload, ctx):
+            execution_order.append("standalone_p50")
+            return None
+
+        register(PluginWithMethodPriority())
+        register(mid_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # @hook(priority=80) wins over Plugin(priority=5): method fires at priority=80 (after 50)
+        assert execution_order.index("standalone_p50") < execution_order.index(
+            "method_p80"
+        )
+
+    @pytest.mark.asyncio
+    async def test_class_plugin_priority_lower_number_fires_before_higher_number(
+        self,
+    ) -> None:
+        """Two @plugin classes with different priorities fire in the correct order."""
+        execution_order: list[str] = []
+
+        class FirstPlugin(Plugin, name="plugin-priority-3", priority=3):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                execution_order.append("plugin_p3")
+                return None
+
+        class SecondPlugin(Plugin, name="plugin-priority-99", priority=99):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                execution_order.append("plugin_p99")
+                return None
+
+        register(FirstPlugin())
+        register(SecondPlugin())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order == ["plugin_p3", "plugin_p99"]
+
+    @pytest.mark.asyncio
+    async def test_method_priority_overrides_class_priority(self) -> None:
+        """@hook method priority overrides the class-level default.
+
+        Plugin(priority=100) with @hook(priority=10) fires at effective priority=10.
+        Plugin(priority=1) with @hook(priority=90) fires at effective priority=90.
+        So the first plugin fires before the second, despite its class priority being higher.
+        """
+        execution_order: list[str] = []
+
+        class PluginA(Plugin, name="multi-method-plugin-low-class", priority=100):
+            @hook(
+                "session_pre_init", priority=10
+            )  # method priority=10 overrides class=100
+            async def on_pre_init(self, payload, ctx):
+                execution_order.append("plugin_a_effective_p10")
+                return None
+
+        class PluginB(Plugin, name="multi-method-plugin-high-class", priority=1):
+            @hook(
+                "session_pre_init", priority=90
+            )  # method priority=90 overrides class=1
+            async def on_pre_init(self, payload, ctx):
+                execution_order.append("plugin_b_effective_p90")
+                return None
+
+        register(PluginA())
+        register(PluginB())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # effective priorities are 10 and 90; PluginA fires first despite class priority=100
+        assert execution_order == ["plugin_a_effective_p10", "plugin_b_effective_p90"]
+
+
+# ---------------------------------------------------------------------------
+# PluginSet priority
+# ---------------------------------------------------------------------------
+
+
+class TestPluginSetPriority:
+    """PluginSet.priority sets the default priority for items without their own @hook priority."""
+
+    @pytest.mark.asyncio
+    async def test_pluginset_priority_applied_to_items_without_own_priority(
+        self,
+    ) -> None:
+        """Items in a PluginSet with priority=10 fire before an outside hook at priority=50."""
+        execution_order: list[str] = []
+
+        @hook(
+            "session_pre_init"
+        )  # @hook default priority=50; PluginSet will override to 10
+        async def inside_set(payload, ctx):
+            execution_order.append("inside_set")
+            return None
+
+        @hook("session_pre_init", priority=50)
+        async def outside_hook(payload, ctx):
+            execution_order.append("outside_hook")
+            return None
+
+        ps = PluginSet("high-priority-set", [inside_set], priority=10)
+        register(ps)
+        register(outside_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order.index("inside_set") < execution_order.index(
+            "outside_hook"
+        )
+
+    @pytest.mark.asyncio
+    async def test_pluginset_priority_overrides_per_item_hook_priority(self) -> None:
+        """PluginSet priority overrides the item's @hook priority, even when the item has an explicit one.
+
+        An item decorated with @hook(priority=80) placed in a PluginSet(priority=5)
+        fires at effective priority=5, not 80. The PluginSet priority always wins.
+        """
+        execution_order: list[str] = []
+
+        @hook(
+            "session_pre_init", priority=80
+        )  # @hook priority is overridden by PluginSet(priority=5)
+        async def item_with_own_priority(payload, ctx):
+            execution_order.append("item_effective_p5")
+            return None
+
+        @hook("session_pre_init", priority=20)
+        async def standalone_hook(payload, ctx):
+            execution_order.append("standalone_p20")
+            return None
+
+        # PluginSet(priority=5) overrides the item's @hook(priority=80)
+        # so the item fires at effective priority=5 (before standalone_p20=20)
+        ps = PluginSet("low-priority-set", [item_with_own_priority], priority=5)
+        register(ps)
+        register(standalone_hook)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # item fires at PluginSet priority=5, which is before standalone_p20=20
+        assert execution_order.index("item_effective_p5") < execution_order.index(
+            "standalone_p20"
+        )
+
+    @pytest.mark.asyncio
+    async def test_pluginset_without_priority_uses_item_own_priority(self) -> None:
+        """PluginSet with no priority (None) does not override the item's @hook priority."""
+        execution_order: list[str] = []
+
+        @hook("session_pre_init", priority=15)
+        async def item_own_p15(payload, ctx):
+            execution_order.append("item_p15")
+            return None
+
+        @hook("session_pre_init", priority=60)
+        async def standalone_p60(payload, ctx):
+            execution_order.append("standalone_p60")
+            return None
+
+        ps = PluginSet("no-priority-set", [item_own_p15])  # priority=None
+        register(ps)
+        register(standalone_p60)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order.index("item_p15") < execution_order.index(
+            "standalone_p60"
+        )
+
+    @pytest.mark.asyncio
+    async def test_nested_pluginsets_honour_inner_set_priority(self) -> None:
+        """In a nested PluginSet, the inner set's priority governs its items."""
+        execution_order: list[str] = []
+
+        @hook("session_pre_init")
+        async def inner_item(payload, ctx):
+            execution_order.append("inner")
+            return None
+
+        @hook("session_pre_init")
+        async def outer_only_item(payload, ctx):
+            execution_order.append("outer")
+            return None
+
+        inner_ps = PluginSet("inner", [inner_item], priority=5)
+        outer_ps = PluginSet("outer", [inner_ps, outer_only_item], priority=70)
+
+        register(outer_ps)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        # inner_item gets priority=5 (inner set); outer_only_item gets priority=70 (outer set)
+        assert execution_order.index("inner") < execution_order.index("outer")
+
+    @pytest.mark.asyncio
+    async def test_multiple_pluginsets_fire_in_set_priority_order(self) -> None:
+        """Items from a lower-priority PluginSet fire before items from a higher-priority one."""
+        execution_order: list[str] = []
+
+        @hook("session_pre_init")
+        async def alpha(payload, ctx):
+            execution_order.append("alpha")
+            return None
+
+        @hook("session_pre_init")
+        async def beta(payload, ctx):
+            execution_order.append("beta")
+            return None
+
+        # alpha is in a set with priority=3 (fires first), beta in priority=80 (fires later)
+        ps_early = PluginSet("early-set", [alpha], priority=3)
+        ps_late = PluginSet("late-set", [beta], priority=80)
+
+        register(ps_early)
+        register(ps_late)
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
+
+        assert execution_order == ["alpha", "beta"]
diff --git a/test/plugins/test_scoping.py b/test/plugins/test_scoping.py
new file mode 100644
index 000000000..cf22f7107
--- /dev/null
+++ b/test/plugins/test_scoping.py
@@ -0,0 +1,616 @@
+"""Tests for plugin scoping: session-scoped and with-block-scoped."""
+
+from typing import Any
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import Plugin, PluginSet, hook, plugin_scope, register
+from mellea.plugins.base import MelleaPlugin, PluginResult
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import (
+    deregister_session_plugins,
+    invoke_hook,
+    shutdown_plugins,
+)
+from mellea.plugins.types import HookType
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    """Reset the plugin manager to a clean state after every test."""
+    yield
+    await shutdown_plugins()
+
+
+def _payload() -> SessionPreInitPayload:
+    return SessionPreInitPayload(
+        backend_name="test-backend", model_id="test-model", model_options=None
+    )
+
+
+# ---------------------------------------------------------------------------
+# Session-scoped plugins
+# ---------------------------------------------------------------------------
+
+
+class TestSessionScopedPlugins:
+    """Plugins registered via ``register(..., session_id=sid)``."""
+
+    async def test_fires_while_session_active(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        register(my_hook, session_id="s1")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+    async def test_deregistered_after_session_cleanup(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        register(my_hook, session_id="s-cleanup")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+        deregister_session_plugins("s-cleanup")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # No new invocations after cleanup
+
+    async def test_global_plugin_unaffected_by_session_cleanup(self) -> None:
+        """Deregistering a session should leave globally registered plugins intact."""
+        global_calls = []
+        session_calls = []
+
+        @hook("session_pre_init")
+        async def global_hook(payload, ctx):
+            global_calls.append(payload)
+            return None
+
+        @hook("session_pre_init")
+        async def session_hook(payload, ctx):
+            session_calls.append(payload)
+            return None
+
+        register(global_hook)
+        register(session_hook, session_id="s-isolated")
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(global_calls) == 1
+        assert len(session_calls) == 1
+
+        deregister_session_plugins("s-isolated")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(global_calls) == 2  # Still firing
+        assert len(session_calls) == 1  # Stopped
+
+    async def test_deregister_unknown_session_is_noop(self) -> None:
+        """Deregistering a session ID that was never registered does not raise."""
+        deregister_session_plugins("never-registered-session-xyz")
+
+    async def test_class_plugin_session_scoped(self) -> None:
+        invocations = []
+
+        class MyPlugin(Plugin, name="cls-session-plugin"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                invocations.append(payload)
+                return None
+
+        register(MyPlugin(), session_id="s-class")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+        deregister_session_plugins("s-class")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # Stopped
+
+    async def test_pluginset_session_scoped(self) -> None:
+        """PluginSet items honour session-scoped deregistration when passed to register()."""
+        invocations = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            invocations.append("a")
+            return None
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            invocations.append("b")
+            return None
+
+        register(PluginSet("ps-session", [hook_a, hook_b]), session_id="s-ps")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert "a" in invocations
+        assert "b" in invocations
+
+        count_before = len(invocations)
+        deregister_session_plugins("s-ps")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == count_before  # No new calls
+
+    async def test_two_sessions_deregistered_independently(self) -> None:
+        calls_a = []
+        calls_b = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            calls_a.append(payload)
+            return None
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            calls_b.append(payload)
+            return None
+
+        register(hook_a, session_id="session-A")
+        register(hook_b, session_id="session-B")
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+        # End session A — hook_b should still fire
+        deregister_session_plugins("session-A")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1  # Stopped
+        assert len(calls_b) == 2  # Still firing
+
+        # End session B — everything silent
+        deregister_session_plugins("session-B")
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 2
+
+
+# ---------------------------------------------------------------------------
+# PluginSet as a context manager
+# ---------------------------------------------------------------------------
+
+
+class TestPluginSetContextManager:
+    async def test_fires_inside_with_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        with PluginSet("ctx-basic", [my_hook]):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+    async def test_deregistered_after_with_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        with PluginSet("ctx-cleanup", [my_hook]):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        # Outside the block
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # No new calls
+
+    async def test_deregistered_on_exception(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        ps = PluginSet("ctx-exc", [my_hook])
+        with pytest.raises(ValueError):
+            with ps:
+                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+                assert len(invocations) == 1
+                raise ValueError("deliberate error")
+
+        # Plugin must be deregistered despite the exception
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+    def test_scope_id_cleared_after_exit(self) -> None:
+        """_scope_id is reset to None once __exit__ is called."""
+        # We need to check state change but __enter__ requires the framework —
+        # just verify the initial state here; integration validated by other tests.
+        ps = PluginSet("state-check", [])
+        assert ps._scope_id is None
+
+    async def test_raises_on_reentrant_use_of_same_instance(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        ps = PluginSet("reentrant", [my_hook])
+        with ps:
+            with pytest.raises(RuntimeError, match="already active"):
+                with ps:
+                    pass
+
+    async def test_async_with_fires_inside_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        async with PluginSet("async-ctx", [my_hook]):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+    async def test_async_with_deregisters_after_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        async with PluginSet("async-cleanup", [my_hook]):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+    async def test_nested_different_instances(self) -> None:
+        """Two different PluginSet instances can be nested."""
+        invocations = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            invocations.append("a")
+            return None
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            invocations.append("b")
+            return None
+
+        ps_a = PluginSet("set-a", [hook_a])
+        ps_b = PluginSet("set-b", [hook_b])
+
+        with ps_a:
+            with ps_b:
+                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+                # Both hooks should have fired
+                assert "a" in invocations
+                assert "b" in invocations
+
+            # ps_b exited — only hook_a should remain
+            invocations.clear()
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+            assert invocations == ["a"]
+
+        # ps_a exited — no hooks remain
+        invocations.clear()
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert invocations == []
+
+    async def test_scope_id_set_on_enter_and_cleared_on_exit(self) -> None:
+        ps = PluginSet("state-lifecycle", [])
+        assert ps._scope_id is None
+        with ps:
+            assert ps._scope_id is not None
+        assert ps._scope_id is None
+
+    async def test_reuse_after_exit(self) -> None:
+        """The same PluginSet instance can be entered again after a previous exit."""
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        ps = PluginSet("reuse-after-exit", [my_hook])
+
+        with ps:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        # After first scope is closed, a second entry should work
+        with ps:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 2
+
+
+# ---------------------------------------------------------------------------
+# plugin_scope() context manager
+# ---------------------------------------------------------------------------
+
+
+class TestPluginScopeContextManager:
+    async def test_standalone_hook_fires_inside_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        with plugin_scope(my_hook):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+    async def test_deregistered_after_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        with plugin_scope(my_hook):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # No new calls outside the block
+
+    async def test_deregistered_on_exception(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        with pytest.raises(RuntimeError):
+            with plugin_scope(my_hook):
+                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+                assert len(invocations) == 1
+                raise RuntimeError("deliberate")
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # Deregistered despite the exception
+
+    async def test_class_plugin_fires_and_deregisters(self) -> None:
+        invocations = []
+
+        class MyPlugin(Plugin, name="scope-cls-plugin"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                invocations.append(payload)
+                return None
+
+        with plugin_scope(MyPlugin()):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # Stopped
+
+    async def test_pluginset_fires_and_deregisters(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            invocations.append("a")
+            return None
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            invocations.append("b")
+            return None
+
+        ps = PluginSet("scope-ps", [hook_a, hook_b])
+        with plugin_scope(ps):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert "a" in invocations
+        assert "b" in invocations
+
+        count_before = len(invocations)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == count_before
+
+    async def test_mixed_items(self) -> None:
+        """plugin_scope accepts standalone hooks, class plugins, and PluginSets together."""
+        invocations = []
+
+        @hook("session_pre_init")
+        async def standalone(payload, ctx):
+            invocations.append("standalone")
+            return None
+
+        class ClassPlugin(Plugin, name="scope-mixed-cls"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                invocations.append("class")
+                return None
+
+        @hook("session_pre_init")
+        async def in_set(payload, ctx):
+            invocations.append("in_set")
+            return None
+
+        ps = PluginSet("scope-inner-set", [in_set])
+        with plugin_scope(standalone, ClassPlugin(), ps):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert "standalone" in invocations
+        assert "class" in invocations
+        assert "in_set" in invocations
+
+        count_before = len(invocations)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == count_before  # All deregistered
+
+    async def test_async_with_fires_inside_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        async with plugin_scope(my_hook):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+    async def test_async_with_deregisters_after_block(self) -> None:
+        invocations = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+            return None
+
+        async with plugin_scope(my_hook):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+    async def test_sequential_scopes_are_independent(self) -> None:
+        """Two consecutive plugin_scope blocks use separate scope IDs and don't interfere."""
+        calls_a = []
+        calls_b = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            calls_a.append(payload)
+            return None
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            calls_b.append(payload)
+            return None
+
+        with plugin_scope(hook_a):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        with plugin_scope(hook_b):
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+    async def test_empty_plugin_scope_is_noop(self) -> None:
+        """plugin_scope with no items enters and exits without error."""
+        with plugin_scope():
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        # No assertion needed — just verifying no exception is raised
+
+
+# ---------------------------------------------------------------------------
+# MelleaPlugin as a context manager
+# ---------------------------------------------------------------------------
+
+
+def _make_mellea_plugin(invocations: list) -> Plugin:
+    """Build a minimal concrete MelleaPlugin that records session_pre_init calls."""
+
+    class _TrackingPlugin(Plugin, name="tracking-plugin"):
+        @hook(hook_type=HookType.SESSION_PRE_INIT)
+        async def session_pre_init(self, payload: Any, context: Any):
+            invocations.append(payload)
+            return PluginResult(continue_processing=True)
+
+    return _TrackingPlugin()
+
+
+class TestMelleaPluginContextManager:
+    async def test_fires_inside_with_block(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+    async def test_deregistered_after_with_block(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # No new calls outside the block
+
+    async def test_deregistered_on_exception(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        with pytest.raises(ValueError):
+            with p:
+                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+                assert len(invocations) == 1
+                raise ValueError("deliberate")
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # Deregistered despite the exception
+
+    async def test_raises_on_reentrant_use(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        with p:
+            with pytest.raises(RuntimeError, match="already active"):
+                with p:
+                    pass
+
+    async def test_scope_id_set_on_enter_and_cleared_on_exit(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        assert getattr(p, "_scope_id", None) is None
+        with p:
+            assert getattr(p, "_scope_id", None) is not None
+        assert getattr(p, "_scope_id", None) is None
+
+    async def test_reuse_after_exit(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 2
+
+    async def test_async_with_fires_inside_block(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        async with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        assert len(invocations) == 1
+
+    async def test_async_with_deregisters_after_block(self) -> None:
+        invocations: list = []
+        p = _make_mellea_plugin(invocations)
+
+        async with p:
+            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
diff --git a/test/plugins/test_tool_hooks_redaction.py b/test/plugins/test_tool_hooks_redaction.py
new file mode 100644
index 000000000..96e2aac73
--- /dev/null
+++ b/test/plugins/test_tool_hooks_redaction.py
@@ -0,0 +1,235 @@
+"""Unit tests verifying that tool hooks can redact sensitive data:
+
+- TOOL_PRE_INVOKE: replace model_tool_call.args before the tool runs
+- TOOL_POST_INVOKE: replace tool_output after the tool runs
+
+No LLM is required — the test constructs a ModelOutputThunk directly with a
+pre-built tool_calls dict and exercises _acall_tools in isolation.
+"""
+
+from __future__ import annotations
+
+import dataclasses
+from typing import Any
+from unittest.mock import MagicMock
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.core.base import AbstractMelleaTool, ModelOutputThunk, ModelToolCall
+from mellea.plugins import PluginResult, hook, register
+from mellea.plugins.manager import shutdown_plugins
+from mellea.plugins.types import HookType
+from mellea.stdlib.functional import _acall_tools
+
+# ---------------------------------------------------------------------------
+# Helpers
+# ---------------------------------------------------------------------------
+
+
+class _RecordingTool(AbstractMelleaTool):
+    """A tool that records the kwargs it was invoked with."""
+
+    name = "sensitive_tool"
+
+    def __init__(self) -> None:
+        self.calls: list[dict[str, Any]] = []
+
+    def run(self, **kwargs: Any) -> str:
+        self.calls.append(dict(kwargs))
+        return f"ran with {kwargs}"
+
+    @property
+    def as_json_tool(self) -> dict[str, Any]:
+        return {"name": self.name, "description": "recording tool", "parameters": {}}
+
+
+def _make_result(tool_call: ModelToolCall) -> ModelOutputThunk:
+    """Wrap a single ModelToolCall in a minimal ModelOutputThunk."""
+    mot = MagicMock(spec=ModelOutputThunk)
+    mot.tool_calls = {tool_call.name: tool_call}
+    return mot
+
+
+# ---------------------------------------------------------------------------
+# Fixtures
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    yield
+    await shutdown_plugins()
+
+
+# ---------------------------------------------------------------------------
+# Tests
+# ---------------------------------------------------------------------------
+
+
+class TestToolArgRedactionViaHook:
+    """A tool_pre_invoke hook that modifies model_tool_call.args causes the
+    tool to be invoked with the redacted arguments."""
+
+    async def test_hook_redacts_sensitive_arg(self) -> None:
+        """Hook replaces a sensitive arg value; the ToolMessage reflects the redacted value."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool",
+            func=recording_tool,
+            args={"user_input": "my secret password", "limit": 10},
+        )
+        result = _make_result(original_call)
+
+        @hook(HookType.TOOL_PRE_INVOKE)
+        async def redact_password(payload, *_):
+            mtc = payload.model_tool_call
+            redacted_args = {**mtc.args, "user_input": "[REDACTED]"}
+            new_call = dataclasses.replace(mtc, args=redacted_args)
+            modified = payload.model_copy(update={"model_tool_call": new_call})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(redact_password)
+
+        tool_messages = await _acall_tools(result, MagicMock())
+
+        assert len(tool_messages) == 1
+        assert "[REDACTED]" in tool_messages[0].content
+        assert "my secret password" not in tool_messages[0].content
+
+    async def test_hook_receives_original_args_in_payload(self) -> None:
+        """The hook payload contains the original (un-redacted) args."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool", func=recording_tool, args={"token": "abc123"}
+        )
+        result = _make_result(original_call)
+
+        observed_args: list[dict] = []
+
+        @hook(HookType.TOOL_PRE_INVOKE)
+        async def capture_payload(payload, *_):
+            observed_args.append(dict(payload.model_tool_call.args))
+
+        register(capture_payload)
+
+        await _acall_tools(result, MagicMock())
+
+        assert len(observed_args) == 1
+        assert observed_args[0]["token"] == "abc123"
+
+    async def test_no_hook_modification_leaves_args_unchanged(self) -> None:
+        """When the hook returns None the original args are used unchanged."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool", func=recording_tool, args={"value": "keep-me"}
+        )
+        result = _make_result(original_call)
+
+        @hook(HookType.TOOL_PRE_INVOKE)
+        async def observe_only(*_):
+            return None  # no modification
+
+        register(observe_only)
+
+        await _acall_tools(result, MagicMock())
+
+        assert recording_tool.calls[0]["value"] == "keep-me"
+
+    async def test_hook_can_redact_multiple_fields(self) -> None:
+        """A hook that redacts several fields; all redacted values appear in the output."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool",
+            func=recording_tool,
+            args={"ssn": "123-45-6789", "email": "user@example.com", "count": 3},
+        )
+        result = _make_result(original_call)
+
+        @hook(HookType.TOOL_PRE_INVOKE)
+        async def redact_pii(payload, *_):
+            mtc = payload.model_tool_call
+            redacted_args = {**mtc.args, "ssn": "[REDACTED]", "email": "[REDACTED]"}
+            new_call = dataclasses.replace(mtc, args=redacted_args)
+            modified = payload.model_copy(update={"model_tool_call": new_call})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(redact_pii)
+
+        tool_messages = await _acall_tools(result, MagicMock())
+
+        assert len(tool_messages) == 1
+        assert "123-45-6789" not in tool_messages[0].content
+        assert "user@example.com" not in tool_messages[0].content
+        assert "[REDACTED]" in tool_messages[0].content
+
+
+class TestToolOutputRedactionViaHook:
+    """A tool_post_invoke hook that modifies tool_output causes the ToolMessage
+    content to reflect the redacted value."""
+
+    async def test_hook_redacts_sensitive_output(self) -> None:
+        """Hook replaces tool_output; ToolMessage content reflects the redacted value."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool", func=recording_tool, args={"query": "user profile"}
+        )
+        # The tool returns a string containing a secret token.
+        recording_tool.run = lambda **_: "token=supersecret,role=admin"  # type: ignore[method-assign]
+        result = _make_result(original_call)
+
+        @hook(HookType.TOOL_POST_INVOKE)
+        async def redact_token(payload, *_):
+            redacted = str(payload.tool_output).replace("supersecret", "[REDACTED]")
+            modified = payload.model_copy(update={"tool_output": redacted})
+            return PluginResult(continue_processing=True, modified_payload=modified)
+
+        register(redact_token)
+
+        tool_messages = await _acall_tools(result, MagicMock())
+
+        assert len(tool_messages) == 1
+        assert "supersecret" not in tool_messages[0].content
+        assert "[REDACTED]" in tool_messages[0].content
+
+    async def test_hook_receives_raw_output_in_payload(self) -> None:
+        """The hook payload contains the un-redacted tool output."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool", func=recording_tool, args={"query": "data"}
+        )
+        recording_tool.run = lambda **_: "password=hunter2"  # type: ignore[method-assign]
+        result = _make_result(original_call)
+
+        observed_outputs: list[str] = []
+
+        @hook(HookType.TOOL_POST_INVOKE)
+        async def capture_output(payload, *_):
+            observed_outputs.append(str(payload.tool_output))
+
+        register(capture_output)
+
+        await _acall_tools(result, MagicMock())
+
+        assert len(observed_outputs) == 1
+        assert "password=hunter2" in observed_outputs[0]
+
+    async def test_no_hook_modification_leaves_output_unchanged(self) -> None:
+        """When the hook returns None the original tool output is used unchanged."""
+        recording_tool = _RecordingTool()
+        original_call = ModelToolCall(
+            name="sensitive_tool", func=recording_tool, args={"query": "safe"}
+        )
+        recording_tool.run = lambda **_: "safe result"  # type: ignore[method-assign]
+        result = _make_result(original_call)
+
+        @hook(HookType.TOOL_POST_INVOKE)
+        async def observe_only(*_):
+            return None
+
+        register(observe_only)
+
+        tool_messages = await _acall_tools(result, MagicMock())
+
+        assert tool_messages[0].content == "safe result"
diff --git a/test/plugins/test_unregister.py b/test/plugins/test_unregister.py
new file mode 100644
index 000000000..5b5304359
--- /dev/null
+++ b/test/plugins/test_unregister.py
@@ -0,0 +1,223 @@
+"""Tests for the ``unregister()`` public API."""
+
+from typing import Any
+
+import pytest
+
+pytest.importorskip("cpex.framework")
+
+from mellea.plugins import Plugin, PluginSet, hook, register, unregister
+from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.manager import invoke_hook, shutdown_plugins
+from mellea.plugins.types import HookType
+
+
+@pytest.fixture(autouse=True)
+async def reset_plugins():
+    yield
+    await shutdown_plugins()
+
+
+def _payload() -> SessionPreInitPayload:
+    return SessionPreInitPayload(
+        backend_name="test-backend", model_id="test-model", model_options=None
+    )
+
+
+# ---------------------------------------------------------------------------
+# Standalone @hook functions
+# ---------------------------------------------------------------------------
+
+
+class TestUnregisterStandaloneHook:
+    async def test_hook_stops_firing_after_unregister(self) -> None:
+        invocations: list[Any] = []
+
+        @hook("session_pre_init")
+        async def my_hook(payload, ctx):
+            invocations.append(payload)
+
+        register(my_hook)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+        unregister(my_hook)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1  # No new calls after unregister
+
+    async def test_other_hooks_unaffected(self) -> None:
+        """Unregistering one hook leaves other registered hooks intact."""
+        calls_a: list[Any] = []
+        calls_b: list[Any] = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            calls_a.append(payload)
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            calls_b.append(payload)
+
+        register(hook_a)
+        register(hook_b)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+        unregister(hook_a)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1  # Stopped
+        assert len(calls_b) == 2  # Still firing
+
+    async def test_unregister_not_registered_is_noop(self) -> None:
+        """Unregistering a hook that was never registered does not raise."""
+
+        @hook("session_pre_init")
+        async def never_registered(payload, ctx):
+            pass
+
+        unregister(never_registered)  # Should not raise
+
+    async def test_unregister_list_of_hooks(self) -> None:
+        calls_a: list[Any] = []
+        calls_b: list[Any] = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            calls_a.append(payload)
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            calls_b.append(payload)
+
+        register(hook_a)
+        register(hook_b)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+        unregister([hook_a, hook_b])
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+
+# ---------------------------------------------------------------------------
+# Plugin subclass instances
+# ---------------------------------------------------------------------------
+
+
+class TestUnregisterClassPlugin:
+    async def test_class_plugin_stops_firing_after_unregister(self) -> None:
+        invocations: list[Any] = []
+
+        class MyPlugin(Plugin, name="unregister-cls-test"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                invocations.append(payload)
+
+        instance = MyPlugin()
+        register(instance)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+        unregister(instance)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(invocations) == 1
+
+    async def test_unregister_class_plugin_leaves_standalone_hook_intact(self) -> None:
+        standalone_calls: list[Any] = []
+        class_calls: list[Any] = []
+
+        @hook("session_pre_init")
+        async def standalone(payload, ctx):
+            standalone_calls.append(payload)
+
+        class MyPlugin(Plugin, name="unregister-cls-isolation"):
+            @hook("session_pre_init")
+            async def on_pre_init(self, payload, ctx):
+                class_calls.append(payload)
+
+        instance = MyPlugin()
+        register(standalone)
+        register(instance)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(standalone_calls) == 1
+        assert len(class_calls) == 1
+
+        unregister(instance)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(standalone_calls) == 2  # Still firing
+        assert len(class_calls) == 1  # Stopped
+
+
+# ---------------------------------------------------------------------------
+# PluginSet
+# ---------------------------------------------------------------------------
+
+
+class TestUnregisterPluginSet:
+    async def test_pluginset_all_items_stop_firing(self) -> None:
+        calls_a: list[Any] = []
+        calls_b: list[Any] = []
+
+        @hook("session_pre_init")
+        async def hook_a(payload, ctx):
+            calls_a.append(payload)
+
+        @hook("session_pre_init")
+        async def hook_b(payload, ctx):
+            calls_b.append(payload)
+
+        ps = PluginSet("unregister-ps-test", [hook_a, hook_b])
+        register(ps)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+        unregister(ps)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(calls_a) == 1
+        assert len(calls_b) == 1
+
+    async def test_unregister_pluginset_leaves_other_plugins_intact(self) -> None:
+        ps_calls: list[Any] = []
+        other_calls: list[Any] = []
+
+        @hook("session_pre_init")
+        async def in_set(payload, ctx):
+            ps_calls.append(payload)
+
+        @hook("session_pre_init")
+        async def other(payload, ctx):
+            other_calls.append(payload)
+
+        ps = PluginSet("unregister-ps-isolation", [in_set])
+        register(ps)
+        register(other)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(ps_calls) == 1
+        assert len(other_calls) == 1
+
+        unregister(ps)
+        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
+        assert len(ps_calls) == 1  # Stopped
+        assert len(other_calls) == 2  # Still firing
+
+
+# ---------------------------------------------------------------------------
+# Error handling
+# ---------------------------------------------------------------------------
+
+
+class TestUnregisterErrors:
+    async def test_unregister_unrecognized_type_raises_type_error(self) -> None:
+        # Initialize the plugin manager by registering something first.
+        @hook("session_pre_init")
+        async def dummy(payload, ctx):
+            pass
+
+        register(dummy)
+
+        with pytest.raises(TypeError, match="Cannot unregister"):
+            unregister(object())  # type: ignore[arg-type]
diff --git a/uv.lock b/uv.lock
index 8cbb75e9c..a49707a11 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,34 +1,25 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.11"
 resolution-markers = [
-    "python_full_version >= '3.14' and python_full_version < '4'",
-    "python_full_version >= '4' and sys_platform == 'darwin'",
-    "python_full_version == '3.13.*' and sys_platform == 'darwin'",
-    "python_full_version >= '4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version >= '4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '4' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version == '3.13.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version == '3.12.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version < '3.12' and sys_platform == 'darwin'",
-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
+    "python_full_version == '3.12.*'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
 name = "absl-py"
-version = "2.3.1"
+version = "2.4.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/10/2a/c93173ffa1b39c1d0395b7e842bbdc62e556ca9d8d3b5572926f3e4ca752/absl_py-2.3.1.tar.gz", hash = "sha256:a97820526f7fbfd2ec1bce83f3f25e3a14840dac0d8e02a0b71cd75db3f77fc9", size = 116588, upload-time = "2025-07-03T09:31:44.05Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d", size = 135811, upload-time = "2025-07-03T09:31:42.253Z" },
+    { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" },
 ]
 
 [[package]]
 name = "accelerate"
-version = "1.11.0"
+version = "1.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
@@ -37,11 +28,12 @@ dependencies = [
     { name = "psutil" },
     { name = "pyyaml" },
     { name = "safetensors" },
-    { name = "torch" },
+    { name = "torch", version = "2.9.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12' and python_full_version < '3.14'" },
+    { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12' or python_full_version >= '3.14'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/23/60/2757c4f03a8705dbf80b1268b03881927878dca5ed07d74f733fb6c219e0/accelerate-1.11.0.tar.gz", hash = "sha256:bb1caf2597b4cd632b917b5000c591d10730bb024a79746f1ee205bba80bd229", size = 393715, upload-time = "2025-10-20T14:42:25.025Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ca/14/787e5498cd062640f0f3d92ef4ae4063174f76f9afd29d13fc52a319daae/accelerate-1.13.0.tar.gz", hash = "sha256:d631b4e0f5b3de4aff2d7e9e6857d164810dfc3237d54d017f075122d057b236", size = 402835, upload-time = "2026-03-04T19:34:12.359Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/77/85/85951bc0f9843e2c10baaa1b6657227056095de08f4d1eea7d8b423a6832/accelerate-1.11.0-py3-none-any.whl", hash = "sha256:a628fa6beb069b8e549460fc449135d5bd8d73e7a11fd09f0bc9fc4ace7f06f1", size = 375777, upload-time = "2025-10-20T14:42:23.256Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/46/02ac5e262d4af18054b3e922b2baedbb2a03289ee792162de60a865defc5/accelerate-1.13.0-py3-none-any.whl", hash = "sha256:cf1a3efb96c18f7b152eb0fa7490f3710b19c3f395699358f08decca2b8b62e0", size = 383744, upload-time = "2026-03-04T19:34:10.313Z" },
 ]
 
 [[package]]
@@ -197,7 +189,7 @@ wheels = [
 
 [[package]]
 name = "anthropic"
-version = "0.79.0"
+version = "0.84.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
@@ -209,38 +201,15 @@ dependencies = [
     { name = "sniffio" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/15/b1/91aea3f8fd180d01d133d931a167a78a3737b3fd39ccef2ae8d6619c24fd/anthropic-0.79.0.tar.gz", hash = "sha256:8707aafb3b1176ed6c13e2b1c9fb3efddce90d17aee5d8b83a86c70dcdcca871", size = 509825, upload-time = "2026-02-07T18:06:18.388Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/ea/0869d6df9ef83dcf393aeefc12dd81677d091c6ffc86f783e51cf44062f2/anthropic-0.84.0.tar.gz", hash = "sha256:72f5f90e5aebe62dca316cb013629cfa24996b0f5a4593b8c3d712bc03c43c37", size = 539457, upload-time = "2026-02-25T05:22:38.54Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/95/b2/cc0b8e874a18d7da50b0fda8c99e4ac123f23bf47b471827c5f6f3e4a767/anthropic-0.79.0-py3-none-any.whl", hash = "sha256:04cbd473b6bbda4ca2e41dd670fe2f829a911530f01697d0a1e37321eb75f3cf", size = 405918, upload-time = "2026-02-07T18:06:20.246Z" },
+    { url = "https://files.pythonhosted.org/packages/64/ca/218fa25002a332c0aa149ba18ffc0543175998b1f65de63f6d106689a345/anthropic-0.84.0-py3-none-any.whl", hash = "sha256:861c4c50f91ca45f942e091d83b60530ad6d4f98733bfe648065364da05d29e7", size = 455156, upload-time = "2026-02-25T05:22:40.468Z" },
 ]
 
-[[package]]
-name = "antlr4-python3-runtime"
-version = "4.9.3"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '4' and sys_platform == 'darwin'",
-    "python_full_version == '3.13.*' and sys_platform == 'darwin'",
-    "python_full_version >= '4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version >= '4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '4' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "(python_full_version == '3.13.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version == '3.12.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version < '3.12' and sys_platform == 'darwin'",
-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
-]
-sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b", size = 117034, upload-time = "2021-11-06T17:52:23.524Z" }
-
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.13.2"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.14' and python_full_version < '4'",
-]
 sdist = { url = "https://files.pythonhosted.org/packages/33/5f/2cdf6f7aca3b20d3f316e9f505292e1f256a32089bd702034c29ebde6242/antlr4_python3_runtime-4.13.2.tar.gz", hash = "sha256:909b647e1d2fc2b70180ac586df3933e38919c85f98ccc656a96cd3f25ef3916", size = 117467, upload-time = "2024-08-03T19:00:12.757Z" }
 wheels = [
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@@ -248,16 +217,15 @@ wheels = [
 
 [[package]]
 name = "anyio"
-version = "4.11.0"
+version = "4.12.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "idna" },
-    { name = "sniffio" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/c6/78/7d432127c41b50bccba979505f272c16cbcadcc33645d5fa3a738110ae75/anyio-4.11.0.tar.gz", hash = "sha256:82a8d0b81e318cc5ce71a5f1f8b5c4e63619620b63141ef8c995fa0db95a57c4", size = 219094, upload-time = "2025-09-23T09:19:12.58Z" }
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@@ -3589,10 +3707,12 @@ dependencies = [
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     { name = "boto3" },
+    { name = "cpex" },
     { name = "datasets" },
     { name = "docling" },
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+    { name = "grpcio" },
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@@ -3647,6 +3769,10 @@ hf = [
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 ]
+hooks = [
+    { name = "cpex" },
+    { name = "grpcio" },
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     { name = "litellm" },
@@ -3670,7 +3796,8 @@ tools = [
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@@ -3695,6 +3822,7 @@ dev = [
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     { name = "pytest-cov" },
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+    { name = "pytest-xdist" },
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@@ -3702,7 +3830,8 @@ dev = [
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 ]
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@@ -3730,6 +3860,7 @@ test = [
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     { name = "pytest-cov" },
     { name = "pytest-timeout" },
+    { name = "pytest-xdist" },
     { name = "sentencepiece" },
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@@ -3743,10 +3874,12 @@ requires-dist = [
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     { name = "boto3", marker = "extra == 'litellm'" },
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     { name = "elasticsearch", marker = "extra == 'granite-retriever'", specifier = ">=8.0.0,<9.0.0" },
     { name = "fastapi", marker = "extra == 'server'" },
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@@ -3780,7 +3913,7 @@ requires-dist = [
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+provides-extras = ["hf", "vllm", "litellm", "watsonx", "tools", "telemetry", "docling", "granite-retriever", "server", "sandbox", "backends", "hooks", "all"]
 
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     { name = "pytest-cov", specifier = ">=6.0.0" },
     { name = "pytest-timeout" },
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     { name = "sentencepiece", specifier = "==0.2.1" },
@@ -3832,6 +3966,7 @@ test = [
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     { name = "pytest-cov", specifier = ">=6.0.0" },
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+    { url = "https://files.pythonhosted.org/packages/c2/9b/2c893e16bfc50e6b2edf76c1a9eb6cb0c744346197e74c65e99ad8d634d0/yarl-1.23.0-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:76855800ac56f878847a09ce6dba727c93ca2d89c9e9d63002d26b916810b0a2", size = 100302, upload-time = "2026-03-01T22:07:39.334Z" },
+    { url = "https://files.pythonhosted.org/packages/28/ec/5498c4e3a6d5f1003beb23405671c2eb9cdbf3067d1c80f15eeafe301010/yarl-1.23.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:e09fd068c2e169a7070d83d3bde728a4d48de0549f975290be3c108c02e499b4", size = 98202, upload-time = "2026-03-01T22:07:41.717Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/c3/cd737e2d45e70717907f83e146f6949f20cc23cd4bf7b2688727763aa458/yarl-1.23.0-cp314-cp314t-win32.whl", hash = "sha256:73309162a6a571d4cbd3b6a1dcc703c7311843ae0d1578df6f09be4e98df38d4", size = 90558, upload-time = "2026-03-01T22:07:43.433Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/19/3774d162f6732d1cfb0b47b4140a942a35ca82bb19b6db1f80e9e7bdc8f8/yarl-1.23.0-cp314-cp314t-win_amd64.whl", hash = "sha256:4503053d296bc6e4cbd1fad61cf3b6e33b939886c4f249ba7c78b602214fabe2", size = 97610, upload-time = "2026-03-01T22:07:45.773Z" },
+    { url = "https://files.pythonhosted.org/packages/51/47/3fa2286c3cb162c71cdb34c4224d5745a1ceceb391b2bd9b19b668a8d724/yarl-1.23.0-cp314-cp314t-win_arm64.whl", hash = "sha256:44bb7bef4ea409384e3f8bc36c063d77ea1b8d4a5b2706956c0d6695f07dcc25", size = 86041, upload-time = "2026-03-01T22:07:49.026Z" },
+    { url = "https://files.pythonhosted.org/packages/69/68/c8739671f5699c7dc470580a4f821ef37c32c4cb0b047ce223a7f115757f/yarl-1.23.0-py3-none-any.whl", hash = "sha256:a2df6afe50dea8ae15fa34c9f824a3ee958d785fd5d089063d960bae1daa0a3f", size = 48288, upload-time = "2026-03-01T22:07:51.388Z" },
 ]
 
 [[package]]

From 82d90d504b52a3451d0c7f35e7ce20bc55634fc5 Mon Sep 17 00:00:00 2001
From: Bobby <13518324+csbobby@users.noreply.github.com>
Date: Fri, 13 Mar 2026 09:46:03 -0400
Subject: [PATCH 19/38] Update README.md

---
 docs/examples/m_decompose/README.md | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/docs/examples/m_decompose/README.md b/docs/examples/m_decompose/README.md
index 28fdf94e8..e59697116 100644
--- a/docs/examples/m_decompose/README.md
+++ b/docs/examples/m_decompose/README.md
@@ -69,9 +69,7 @@ Example usage:
 from mellea.cli.decompose.pipeline import decompose, DecompBackend
 import json
 
-query = """Our company is planning a large corporate team-building event later this year, and I need help putting together a complete strategy and execution plan.
-
-The event will likely involve somewhere between 100 and 300 employees and the goal is to strengthen team cohesion, improve collaboration across departments, boost morale, and create a memorable experience for everyone involved. I’d like you to help me create a full event strategy document that covers everything from early planning through post-event evaluation."""
+query = """I will visit Grand Canyon National Park for 3 days in early May. Please create a travel itinerary that includes major scenic viewpoints and short hiking trails. The daily walking distance should stay under 6 miles, and each day should include at least one sunset or sunrise viewpoint."""
 
 result = decompose(
     task_prompt=query,
@@ -93,9 +91,9 @@ The pipeline then executes each step and produces the final answer.
 
 This example highlights three key ideas:
 
-- **Task Decomposition** — break complex problems into smaller reasoning steps.  
-- **Generative Pipelines** — conduct LLM workflows as an programmatic pipeline instead of single prompts.  
-- **Modular Prompts** — separate prompt design from execution logic using reusable modules.
+- **Task Decomposition and Execution** — analyze complex problems into smaller planning and execution steps.  
+- **Generative Mellea Program** — conduct LLM workflows as an programmatic pipeline instead of single call.  
+- **Instruction Modular** — separate instruction design from execution logic using reusable modules.
 
 ---
 

From 1c513e914d8cc43ef16f42a353d6244f965d9068 Mon Sep 17 00:00:00 2001
From: Bobby <13518324+csbobby@users.noreply.github.com>
Date: Fri, 13 Mar 2026 09:47:20 -0400
Subject: [PATCH 20/38] Update README.md

---
 docs/examples/m_decompose/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/examples/m_decompose/README.md b/docs/examples/m_decompose/README.md
index e59697116..838a2325f 100644
--- a/docs/examples/m_decompose/README.md
+++ b/docs/examples/m_decompose/README.md
@@ -1,6 +1,6 @@
 # m_decompose
 
-This module with the example demonstrates **task decomposition pipelines** built with *Mellea generative programs*.
+This automatic pipeline demonstrates **task decomposition and execution** built with *Mellea generative programs*.
 
 Instead of solving a complex task with a single prompt, the system first **decomposes the task into subtasks**, then executes them sequentially through a assembled pipeline.
 

From c18b7767f6983ab5c0ad187b0f2a3261ce45a8fe Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu.cs@gmail.com>
Date: Fri, 13 Mar 2026 09:47:20 -0400
Subject: [PATCH 21/38] Update README.md

---
 docs/examples/m_decompose/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/examples/m_decompose/README.md b/docs/examples/m_decompose/README.md
index e59697116..838a2325f 100644
--- a/docs/examples/m_decompose/README.md
+++ b/docs/examples/m_decompose/README.md
@@ -1,6 +1,6 @@
 # m_decompose
 
-This module with the example demonstrates **task decomposition pipelines** built with *Mellea generative programs*.
+This automatic pipeline demonstrates **task decomposition and execution** built with *Mellea generative programs*.
 
 Instead of solving a complex task with a single prompt, the system first **decomposes the task into subtasks**, then executes them sequentially through a assembled pipeline.
 

From bb935b791c9d32d0baefc6b4d79db60bd7e5ac3c Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu.cs@gmail.com>
Date: Mon, 16 Mar 2026 00:28:09 -0400
Subject: [PATCH 22/38] merge plugins

---
 mellea/plugins/base.py     |  41 ++++---
 mellea/plugins/manager.py  |   4 +-
 mellea/plugins/policies.py |   4 +-
 mellea/plugins/registry.py | 236 ++++++++++++++++++++-----------------
 4 files changed, 159 insertions(+), 126 deletions(-)

diff --git a/mellea/plugins/base.py b/mellea/plugins/base.py
index 9727f2a4e..357e2a515 100644
--- a/mellea/plugins/base.py
+++ b/mellea/plugins/base.py
@@ -134,23 +134,22 @@ def __init__(  # noqa: D107
         super().__init__(f"Plugin blocked {hook_type}: {detail}{reason}")
 
 
-class MelleaBasePayload(PluginPayload):
-    """Frozen base — all payloads are immutable by design.
-
-    Plugins must use ``model_copy(update={...})`` to propose modifications
-    and return the copy via ``PluginResult.modified_payload``.  The plugin
-    manager applies the hook's ``HookPayloadPolicy`` to filter changes to
-    writable fields only.
-    """
+if _HAS_PLUGIN_FRAMEWORK:
 
-    session_id: str | None = None
-    request_id: str = ""
-    timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
-    hook: str = ""
-    user_metadata: dict[str, Any] = Field(default_factory=dict)
+    class MelleaBasePayload(PluginPayload):
+        """Frozen base — all payloads are immutable by design.
 
+        Plugins must use ``model_copy(update={...})`` to propose modifications
+        and return the copy via ``PluginResult.modified_payload``.  The plugin
+        manager applies the hook's ``HookPayloadPolicy`` to filter changes to
+        writable fields only.
+        """
 
-if _HAS_PLUGIN_FRAMEWORK:
+        session_id: str | None = None
+        request_id: str = ""
+        timestamp: datetime = Field(default_factory=lambda: datetime.now(UTC))
+        hook: str = ""
+        user_metadata: dict[str, Any] = Field(default_factory=dict)
 
     class MelleaPlugin(_CpexPlugin):
         """Base class for Mellea plugins with lifecycle hooks and typed accessors.
@@ -229,14 +228,24 @@ async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
     PluginResult: TypeAlias = _CFPluginResult  # type: ignore[misc]
 
 else:
+    # Provide a stub when the plugin framework is not installed.
+    class MelleaBasePayload:  # type: ignore[no-redef]
+        """Stub — install ``"mellea[hooks]"`` for full plugin support."""
+
+        def __init__(self, *args: Any, **kwargs: Any) -> None:  # noqa: D107
+            raise ImportError(
+                "MelleaPlugin requires the ContextForge plugin framework. "
+                "Install it with: pip install 'mellea[hooks]'"
+            )
+
     # Provide a stub when the plugin framework is not installed.
     class MelleaPlugin:  # type: ignore[no-redef]
-        """Stub — install ``mcp-contextforge-gateway`` for full plugin support."""
+        """Stub — install ``"mellea[hooks]"`` for full plugin support."""
 
         def __init__(self, *args: Any, **kwargs: Any) -> None:  # noqa: D107
             raise ImportError(
                 "MelleaPlugin requires the ContextForge plugin framework. "
-                "Install it with: pip install 'mellea[contextforge]'"
+                "Install it with: pip install 'mellea[hooks]'"
             )
 
     # Provide an alias when the plugin framework is not installed.
diff --git a/mellea/plugins/manager.py b/mellea/plugins/manager.py
index 375341eda..25598f520 100644
--- a/mellea/plugins/manager.py
+++ b/mellea/plugins/manager.py
@@ -57,7 +57,7 @@ def ensure_plugin_manager() -> Any:
     if not _HAS_PLUGIN_FRAMEWORK:
         raise ImportError(
             "Plugin system requires the ContextForge plugin framework. "
-            "Install it with: pip install 'mellea[contextforge]'"
+            "Install it with: pip install 'mellea[hooks]'"
         )
 
     if _plugin_manager is None:
@@ -93,7 +93,7 @@ async def initialize_plugins(
     if not _HAS_PLUGIN_FRAMEWORK:
         raise ImportError(
             "Plugin system requires the ContextForge plugin framework. "
-            "Install it with: pip install 'mellea[contextforge]'"
+            "Install it with: pip install 'mellea[hooks]'"
         )
 
     register_mellea_hooks()
diff --git a/mellea/plugins/policies.py b/mellea/plugins/policies.py
index 3b327cc1d..262114e29 100644
--- a/mellea/plugins/policies.py
+++ b/mellea/plugins/policies.py
@@ -5,7 +5,9 @@
 from typing import Any
 
 try:
-    from cpex.framework.hooks.policies import HookPayloadPolicy
+    from cpex.framework.hooks.policies import (
+        HookPayloadPolicy,  # type: ignore[import-not-found]
+    )
 
     _HAS_PLUGIN_FRAMEWORK = True
 except ImportError:
diff --git a/mellea/plugins/registry.py b/mellea/plugins/registry.py
index a8063e38a..181044ec6 100644
--- a/mellea/plugins/registry.py
+++ b/mellea/plugins/registry.py
@@ -68,7 +68,7 @@ def modify(payload: Any, **field_updates: Any) -> Any:
     if not _HAS_PLUGIN_FRAMEWORK:
         raise ImportError(
             "modify() requires the ContextForge plugin framework. "
-            "Install it with: pip install 'mellea[contextforge]'"
+            "Install it with: pip install 'mellea[hooks]'"
         )
     return PluginResult(
         continue_processing=True,
@@ -94,7 +94,7 @@ def block(
     if not _HAS_PLUGIN_FRAMEWORK:
         raise ImportError(
             "block() requires the ContextForge plugin framework. "
-            "Install it with: pip install 'mellea[contextforge]'"
+            "Install it with: pip install 'mellea[hooks]'"
         )
     return PluginResult(
         continue_processing=False,
@@ -123,7 +123,7 @@ def register(
     if not _HAS_PLUGIN_FRAMEWORK:
         raise ImportError(
             "register() requires the ContextForge plugin framework. "
-            "Install it with: pip install 'mellea[contextforge]'"
+            "Install it with: pip install 'mellea[hooks]'"
         )
 
     from mellea.plugins.manager import ensure_plugin_manager
@@ -232,115 +232,137 @@ def _register_single(
         )
 
 
-class _FunctionHookAdapter(Plugin):
-    """Adapts a standalone ``@hook``-decorated function into a ContextForge Plugin."""
-
-    def __init__(
-        self,
-        fn: Callable,
-        session_id: str | None = None,
-        priority_override: int | None = None,
-    ):
-        meta: HookMeta = fn._mellea_hook_meta  # type: ignore[attr-defined]
-        priority = (
-            priority_override
-            if priority_override is not None
-            else (meta.priority if meta.priority is not None else 50)
-        )
-        config = PluginConfig(
-            name=f"{fn.__module__}.{fn.__qualname__}",
-            kind=f"{fn.__module__}.{fn.__qualname__}",
-            hooks=[meta.hook_type],
-            mode=_map_mode(meta.mode),
-            priority=priority,
-            on_error=_CFOnError.IGNORE,
-        )
-        super().__init__(config)
-        self._fn = fn
-        self._session_id = session_id
-
-    async def initialize(self) -> None:
-        pass
-
-    async def shutdown(self) -> None:
-        pass
-
-    # The hook method is discovered by convention: method name == hook_type.
-    # We dynamically add it so ContextForge's HookRef can find it.
-    def __getattr__(self, name: str) -> Any:
-        meta: HookMeta | None = getattr(self._fn, "_mellea_hook_meta", None)
-        if meta and name == meta.hook_type:
-            return self._invoke
-        raise AttributeError(
-            f"'{type(self).__name__}' object has no attribute '{name}'"
-        )
-
-    async def _invoke(self, payload: Any, context: Any) -> Any:
-        result = await self._fn(payload, context)
-        if result is None:
-            return PluginResult(continue_processing=True)
-        return result
+if _HAS_PLUGIN_FRAMEWORK:
 
+    class _FunctionHookAdapter(Plugin):
+        """Adapts a standalone ``@hook``-decorated function into a ContextForge Plugin."""
 
-class _MethodHookAdapter(Plugin):
-    """Adapts a single ``@hook``-decorated bound method from a ``Plugin`` class.
+        def __init__(
+            self,
+            fn: Callable,
+            session_id: str | None = None,
+            priority_override: int | None = None,
+        ):
+            meta: HookMeta = fn._mellea_hook_meta  # type: ignore[attr-defined]
+            priority = (
+                priority_override
+                if priority_override is not None
+                else (meta.priority if meta.priority is not None else 50)
+            )
+            config = PluginConfig(
+                name=f"{fn.__module__}.{fn.__qualname__}",
+                kind=f"{fn.__module__}.{fn.__qualname__}",
+                hooks=[meta.hook_type],
+                mode=_map_mode(meta.mode),
+                priority=priority,
+                on_error=_CFOnError.IGNORE,
+            )
+            super().__init__(config)
+            self._fn = fn
+            self._session_id = session_id
+
+        async def initialize(self) -> None:
+            pass
+
+        async def shutdown(self) -> None:
+            pass
+
+        # The hook method is discovered by convention: method name == hook_type.
+        # We dynamically add it so ContextForge's HookRef can find it.
+        def __getattr__(self, name: str) -> Any:
+            meta: HookMeta | None = getattr(self._fn, "_mellea_hook_meta", None)
+            if meta and name == meta.hook_type:
+                return self._invoke
+            raise AttributeError(
+                f"'{type(self).__name__}' object has no attribute '{name}'"
+            )
 
-    Each ``@hook`` method on a ``@plugin``-decorated class gets its own adapter
-    so that per-method execution modes (``SEQUENTIAL``, ``FIRE_AND_FORGET``, etc.)
-    are respected.  The adapter name is ``"<plugin_name>.<hook_type>"``.
+        async def _invoke(self, payload: Any, context: Any) -> Any:
+            result = await self._fn(payload, context)
+            if result is None:
+                return PluginResult(continue_processing=True)
+            return result
+
+    class _MethodHookAdapter(Plugin):
+        """Adapts a single ``@hook``-decorated bound method from a ``Plugin`` class.
+
+        Each ``@hook`` method on a ``@plugin``-decorated class gets its own adapter
+        so that per-method execution modes (``SEQUENTIAL``, ``FIRE_AND_FORGET``, etc.)
+        are respected.  The adapter name is ``"<plugin_name>.<hook_type>"``.
+
+        Note: ``initialize()`` and ``shutdown()`` delegate to the underlying class
+        instance and may be called once per registered hook method.  Make them
+        idempotent when using the ``Plugin`` base class with multiple hook methods.
+        """
+
+        def __init__(
+            self,
+            instance: Any,
+            bound_method: Callable,
+            hook_meta: HookMeta,
+            plugin_name: str,
+            plugin_module: str,
+            priority: int,
+            session_id: str | None = None,
+        ):
+            hook_val = getattr(hook_meta.hook_type, "value", hook_meta.hook_type)
+            adapter_name = f"{plugin_name}.{hook_val}"
+            config = PluginConfig(
+                name=adapter_name,
+                kind=f"{plugin_module}.{hook_val}",
+                hooks=[hook_meta.hook_type],
+                mode=_map_mode(hook_meta.mode),
+                priority=priority,
+                on_error=_CFOnError.IGNORE,
+            )
+            super().__init__(config)
+            self._instance = instance
+            self._bound_method = bound_method
+            self._session_id = session_id
+
+        async def initialize(self) -> None:
+            init = getattr(self._instance, "initialize", None)
+            if init and callable(init):
+                await init()
+
+        async def shutdown(self) -> None:
+            shut = getattr(self._instance, "shutdown", None)
+            if shut and callable(shut):
+                await shut()
+
+        def __getattr__(self, name: str) -> Any:
+            if self._config.hooks and name == self._config.hooks[0]:
+                return self._invoke
+            raise AttributeError(
+                f"'{type(self).__name__}' object has no attribute '{name}'"
+            )
 
-    Note: ``initialize()`` and ``shutdown()`` delegate to the underlying class
-    instance and may be called once per registered hook method.  Make them
-    idempotent when using the ``Plugin`` base class with multiple hook methods.
-    """
+        async def _invoke(self, payload: Any, context: Any) -> Any:
+            result = await self._bound_method(payload, context)
+            if result is None:
+                return PluginResult(continue_processing=True)
+            return result
+
+else:
+    # Provide a stub when the plugin framework is not installed.
+    class _FunctionHookAdapter:  # type: ignore[no-redef]
+        """Stub — install ``"mellea[hooks]"`` for full plugin support."""
+
+        def __init__(self, *args: Any, **kwargs: Any) -> None:
+            raise ImportError(
+                "MelleaPlugin requires the ContextForge plugin framework. "
+                "Install it with: pip install 'mellea[hooks]'"
+            )
 
-    def __init__(
-        self,
-        instance: Any,
-        bound_method: Callable,
-        hook_meta: HookMeta,
-        plugin_name: str,
-        plugin_module: str,
-        priority: int,
-        session_id: str | None = None,
-    ):
-        hook_val = getattr(hook_meta.hook_type, "value", hook_meta.hook_type)
-        adapter_name = f"{plugin_name}.{hook_val}"
-        config = PluginConfig(
-            name=adapter_name,
-            kind=f"{plugin_module}.{hook_val}",
-            hooks=[hook_meta.hook_type],
-            mode=_map_mode(hook_meta.mode),
-            priority=priority,
-            on_error=_CFOnError.IGNORE,
-        )
-        super().__init__(config)
-        self._instance = instance
-        self._bound_method = bound_method
-        self._session_id = session_id
-
-    async def initialize(self) -> None:
-        init = getattr(self._instance, "initialize", None)
-        if init and callable(init):
-            await init()
-
-    async def shutdown(self) -> None:
-        shut = getattr(self._instance, "shutdown", None)
-        if shut and callable(shut):
-            await shut()
-
-    def __getattr__(self, name: str) -> Any:
-        if self._config.hooks and name == self._config.hooks[0]:
-            return self._invoke
-        raise AttributeError(
-            f"'{type(self).__name__}' object has no attribute '{name}'"
-        )
+    # Provide a stub when the plugin framework is not installed.
+    class _MethodHookAdapter:  # type: ignore[no-redef]
+        """Stub — install ``"mellea[hooks]"`` for full plugin support."""
 
-    async def _invoke(self, payload: Any, context: Any) -> Any:
-        result = await self._bound_method(payload, context)
-        if result is None:
-            return PluginResult(continue_processing=True)
-        return result
+        def __init__(self, *args: Any, **kwargs: Any) -> None:
+            raise ImportError(
+                "MelleaPlugin requires the ContextForge plugin framework. "
+                "Install it with: pip install 'mellea[hooks]'"
+            )
 
 
 class _PluginScope:
@@ -440,7 +462,7 @@ def unregister(
     if not _HAS_PLUGIN_FRAMEWORK:
         raise ImportError(
             "unregister() requires the ContextForge plugin framework. "
-            "Install it with: pip install 'mellea[contextforge]'"
+            "Install it with: pip install 'mellea[hooks]'"
         )
 
     from mellea.plugins.manager import get_plugin_manager

From 6076ad9b529854595d6851efee5c504fa7d2ca7f Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu.cs@gmail.com>
Date: Mon, 16 Mar 2026 00:32:56 -0400
Subject: [PATCH 23/38] merge

---
 mellea/core/base.py | 31 +++++++++++++++----------------
 1 file changed, 15 insertions(+), 16 deletions(-)

diff --git a/mellea/core/base.py b/mellea/core/base.py
index aab47ed5a..60d650292 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -53,15 +53,15 @@ def value(self) -> str | None:
         return self._underlying_value
 
     @value.setter
-    def value(self, v: str):
+    def value(self, v: str) -> None:
         """Sets the value of the block."""
         self._underlying_value = v
 
-    def __str__(self):
+    def __str__(self) -> str:
         """Stringifies the block."""
         return self.value if self.value else ""
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         """Provides a python-parsable representation of the block (usually)."""
         return f"CBlock({self.value}, {self._meta.__repr__()})"
 
@@ -120,7 +120,7 @@ def from_pil_image(
         image_base64 = cls.pil_to_base64(image)
         return cls(image_base64, meta)
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         """Provides a python-parsable representation of the block (usually)."""
         return f"ImageBlock({self.value}, {self._meta.__repr__()})"
 
@@ -235,7 +235,7 @@ def _copy_from(self, other: ModelOutputThunk) -> None:
         self._thinking = other._thinking
         self._generate_log = other._generate_log
 
-    def is_computed(self):
+    def is_computed(self) -> bool:
         """Returns true only if this Thunk has already been filled."""
         return self._computed
 
@@ -247,7 +247,7 @@ def value(self) -> str | None:
         return self._underlying_value
 
     @value.setter
-    def value(self, v: str):
+    def value(self, v: str) -> None:
         """Sets the value of the block."""
         self._underlying_value = v
 
@@ -288,8 +288,9 @@ async def astream(self) -> str:
             RuntimeError: If called when the ModelOutputThunk's generate function is not async compatible.
         """
         if self._computed:
-            assert self.value is not None  # If computed, the value cannot be None.
-            return self.value
+            raise RuntimeError(
+                "Streaming has finished and MOT is computed. Subsequent calls to mot.astream() are not permitted."
+            )
 
         do_set_computed = False
 
@@ -401,22 +402,20 @@ async def astream(self) -> str:
                 # if replacement is not None and replacement is not self:
                 #     self._copy_from(replacement)
 
-            return self._underlying_value  # type: ignore
-
         return (
             self._underlying_value
             if beginning_length == 0
             else self._underlying_value[beginning_length:]  # type: ignore
         )
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         """Provides a python-parsable representation (usually).
 
         Differs from CBlock because `._meta` can be very large for ModelOutputThunks.
         """
         return f"ModelOutputThunk({self.value})"
 
-    def __copy__(self):
+    def __copy__(self) -> ModelOutputThunk:
         """Returns a shallow copy of the ModelOutputThunk. A copied ModelOutputThunk cannot be used for generation; don't copy over fields associated with generating."""
         copied = ModelOutputThunk(
             self._underlying_value, self._meta, self.parsed_repr, self.tool_calls
@@ -436,7 +435,7 @@ def __copy__(self):
         copied._model_options = self._model_options
         return copied
 
-    def __deepcopy__(self, memo):
+    def __deepcopy__(self, memo: dict) -> ModelOutputThunk:
         """Returns a deep copy of the ModelOutputThunk. A copied ModelOutputThunk cannot be used for generation; don't copy over fields associated with generation. Similar to __copy__ but creates deepcopies of _meta, parsed_repr, and most other fields that are objects."""
         # Use __init__ to initialize all fields. Modify the fields that need to be copied/deepcopied below.
         deepcopied = ModelOutputThunk(self._underlying_value)
@@ -488,7 +487,7 @@ class Context(abc.ABC):
     _is_root: bool
     _is_chat_context: bool = True
 
-    def __init__(self):
+    def __init__(self) -> None:
         """Constructs a new root context with no content."""
         self._previous = None
         self._data = None
@@ -590,7 +589,7 @@ def last_output(self, check_last_n_components: int = 3) -> ModelOutputThunk | No
                 return c
         return None
 
-    def last_turn(self):
+    def last_turn(self) -> ContextTurn | None:
         """The last input/output turn of the context.
 
         This can be partial. If the last event is an input, then the output is None.
@@ -632,7 +631,7 @@ class AbstractMelleaTool(abc.ABC):
     """Name of the tool."""
 
     @abc.abstractmethod
-    def run(self, *args, **kwargs) -> Any:
+    def run(self, *args: Any, **kwargs: Any) -> Any:
         """Runs the tool on the given arguments."""
 
     @property

From c7043117f26114e7e4e95704f2bb980b92d44bfa Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu.cs@gmail.com>
Date: Mon, 16 Mar 2026 00:34:32 -0400
Subject: [PATCH 24/38] merge

---
 .../validation_report_generator/__init__.py   |     5 +
 .../_exceptions.py                            |    22 +
 .../validation_report_generator/_prompt.py    |    19 +
 .../_prompt/__init__.py                       |     5 +
 .../_prompt/_icl_examples/__init__.py         |     2 +
 .../_icl_examples/_example_1/__init__.py      |     1 +
 .../_icl_examples/_example_1/_example.py      |    21 +
 .../_icl_examples/_example_2/__init__.py      |     1 +
 .../_icl_examples/_example_2/_example.py      |    21 +
 .../_icl_examples/_example_3/__init__.py      |     1 +
 .../_icl_examples/_example_3/_example.py      |    30 +
 .../_icl_examples/_example_4/__init__.py      |     1 +
 .../_icl_examples/_example_4/_example.py      |    21 +
 .../_icl_examples/_example_5/__init__.py      |     1 +
 .../_icl_examples/_example_5/_example.py      |    22 +
 .../_prompt/_icl_examples/_icl_examples.py    |    10 +
 .../_prompt/_icl_examples/_types.py           |     6 +
 .../_prompt/_prompt.py                        |    19 +
 docs/docs/docs.json                           |   235 +-
 pyproject.toml                                |    50 +-
 test/MARKERS_GUIDE.md                         |    15 +
 test/README.md                                |    57 +-
 test/backends/test_huggingface.py             |     1 +
 test/backends/test_huggingface_tools.py       |     1 +
 test/backends/test_mellea_tool.py             |     2 +-
 test/backends/test_ollama.py                  |    12 +-
 test/backends/test_vllm.py                    |     1 +
 test/backends/test_vllm_tools.py              |     1 +
 test/conftest.py                              |   117 +-
 test/core/test_astream_incremental.py         |    88 +-
 test/decompose/test_decompose.py              |    50 -
 .../granite/test_intrinsics_formatters.py     |   804 +
 .../input_args/answer_relevance_rewriter.json |     5 +
 .../input_args/context_relevance.json         |     3 +
 .../testdata/input_args/instruction.json      |     1 +
 .../input_args/requirement_check.json         |     1 +
 .../answer_relevance_classifier.json          |    13 +
 .../input_json/answer_relevance_rewriter.json |    13 +
 .../testdata/input_json/answerable.json       |    20 +
 .../testdata/input_json/citations.json        |    25 +
 .../input_json/context_relevance.json         |     8 +
 .../testdata/input_json/extra_params.json     |     9 +
 .../input_json/hallucination_detection.json   |    25 +
 .../testdata/input_json/instruction.json      |    14 +
 .../input_json/query_clarification.json       |    78 +
 .../testdata/input_json/query_rewrite.json    |    29 +
 .../input_json/requirement_check.json         |    28 +
 .../granite/testdata/input_json/simple.json   |     7 +
 .../testdata/input_json/unanswerable.json     |    24 +
 .../testdata/input_json/uncertainty.json      |    25 +
 .../testdata/input_yaml/answerability.yaml    |    25 +
 .../testdata/input_yaml/instruction.yaml      |    18 +
 .../input_yaml_ollama/answerability.yaml      |    25 +
 .../input_yaml_ollama/instruction.yaml        |    24 +
 .../answer_relevance_classifier.json          |    67 +
 .../answer_relevance_rewriter.json            |    44 +
 .../answerability_answerable.json             |    32 +
 .../answerability_extra_params.json           |    25 +
 .../answerability_simple.json                 |    22 +
 .../answerability_unanswerable.json           |    36 +
 .../testdata/test_canned_input/citations.json |    64 +
 .../test_canned_input/context_relevance.json  |    36 +
 .../gpt_oss_answerability.json                |    30 +
 .../test_canned_input/gpt_oss_citations.json  |    58 +
 .../gpt_oss_hallucination_detection.json      |    70 +
 .../gpt_oss_query_rewrite.json                |    47 +
 .../hallucination_detection.json              |    72 +
 .../test_canned_input/instruction.json        |    30 +
 .../query_clarification.json                  |    93 +
 .../test_canned_input/query_rewrite.json      |    47 +
 .../test_canned_input/requirement_check.json  |    40 +
 .../test_canned_input/uncertainty.json        |    44 +
 .../answer_relevance_classifier.json          |    29 +
 .../answer_relevance_rewriter.json            |    35 +
 .../answerability_answerable.json             |    29 +
 .../expected_result/answerability_simple.json |    11 +
 .../answerability_unanswerable.json           |    29 +
 .../expected_result/citations.json            |    30 +
 .../expected_result/context_relevance.json    |    29 +
 .../gpt_oss_answerability.json                |    13 +
 .../expected_result/gpt_oss_citations.json    |    14 +
 .../gpt_oss_hallucination_detection.json      |    13 +
 .../gpt_oss_query_rewrite.json                |    14 +
 .../hallucination_detection.json              |    29 +
 .../expected_result/query_clarification.json  |    11 +
 .../expected_result/query_rewrite.json        |    11 +
 .../expected_result/requirement_check.json    |    29 +
 .../expected_result/uncertainty.json          |    29 +
 .../answer_relevance_classifier.json          | 10209 +++++++++
 .../answer_relevance_rewriter.json            |    35 +
 .../answerability_answerable.json             |   875 +
 .../model_output/answerability_simple.json    |   448 +
 .../answerability_unanswerable.json           |  1027 +
 .../model_output/citations.json               |    35 +
 .../model_output/context_relevance.json       |  1927 ++
 .../model_output/gpt_oss_answerability.json   |   873 +
 .../model_output/gpt_oss_citations.json       |    14 +
 .../gpt_oss_hallucination_detection.json      | 15637 +++++++++++++
 .../model_output/gpt_oss_query_rewrite.json   |    14 +
 .../model_output/hallucination_detection.json | 18975 ++++++++++++++++
 .../model_output/query_clarification.json     |    11 +
 .../model_output/query_rewrite.json           |    11 +
 .../model_output/requirement_check.json       |   373 +
 .../model_output/uncertainty.json             |   323 +
 .../test_reparse_json/bare_string.json        |     1 +
 .../answer_relevance_classifier.json          |    11 +
 .../answer_relevance_rewriter.json            |    11 +
 .../answerability_answerable.json             |    11 +
 .../test_run_ollama/answerability_simple.json |    11 +
 .../answerability_unanswerable.json           |    11 +
 .../testdata/test_run_ollama/citations.json   |    11 +
 .../test_run_ollama/context_relevance.json    |    11 +
 .../hallucination_detection.json              |    11 +
 .../test_run_ollama/query_clarification.json  |    11 +
 .../test_run_ollama/query_rewrite.json        |    11 +
 .../answer_relevance_classifier.json          |    11 +
 .../answer_relevance_classifier_alora.json    |    11 +
 .../answer_relevance_rewriter.json            |    11 +
 .../answer_relevance_rewriter_alora.json      |    11 +
 .../answerability_answerable.json             |    11 +
 .../answerability_answerable_alora.json       |    11 +
 .../answerability_simple.json                 |    11 +
 .../answerability_unanswerable.json           |    11 +
 .../answerability_unanswerable_alora.json     |    11 +
 .../test_run_transformers/citations.json      |    11 +
 .../citations_alora.json                      |    11 +
 .../context_relevance.json                    |    11 +
 .../context_relevance_alora.json              |    11 +
 .../hallucination_detection.json              |    11 +
 .../query_clarification.json                  |    11 +
 .../test_run_transformers/query_rewrite.json  |    11 +
 .../requirement_check.json                    |    11 +
 .../requirement_check_alora.json              |    11 +
 .../test_run_transformers/rewrite.json        |    11 +
 .../test_run_transformers/uncertainty.json    |    11 +
 .../uncertainty_alora.json                    |    11 +
 test/plugins/test_payloads.py                 |     2 +
 test/plugins/test_policies.py                 |     4 +
 test/stdlib/components/docs/test_document.py  |    19 +
 .../stdlib/requirements/test_reqlib_python.py |     2 +-
 test/stdlib/test_spans.py                     |     7 +-
 test/telemetry/test_logging.py                |   196 +
 test/telemetry/test_metrics.py                |   182 +-
 test/telemetry/test_metrics_backend.py        |    42 +-
 uv.lock                                       |  5897 +++--
 145 files changed, 57320 insertions(+), 3434 deletions(-)
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py
 create mode 100644 cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py
 create mode 100644 test/formatters/granite/test_intrinsics_formatters.py
 create mode 100644 test/formatters/granite/testdata/input_args/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/input_args/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/input_args/instruction.json
 create mode 100644 test/formatters/granite/testdata/input_args/requirement_check.json
 create mode 100644 test/formatters/granite/testdata/input_json/answer_relevance_classifier.json
 create mode 100644 test/formatters/granite/testdata/input_json/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/input_json/answerable.json
 create mode 100644 test/formatters/granite/testdata/input_json/citations.json
 create mode 100644 test/formatters/granite/testdata/input_json/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/input_json/extra_params.json
 create mode 100644 test/formatters/granite/testdata/input_json/hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/input_json/instruction.json
 create mode 100644 test/formatters/granite/testdata/input_json/query_clarification.json
 create mode 100644 test/formatters/granite/testdata/input_json/query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/input_json/requirement_check.json
 create mode 100644 test/formatters/granite/testdata/input_json/simple.json
 create mode 100644 test/formatters/granite/testdata/input_json/unanswerable.json
 create mode 100644 test/formatters/granite/testdata/input_json/uncertainty.json
 create mode 100644 test/formatters/granite/testdata/input_yaml/answerability.yaml
 create mode 100644 test/formatters/granite/testdata/input_yaml/instruction.yaml
 create mode 100644 test/formatters/granite/testdata/input_yaml_ollama/answerability.yaml
 create mode 100644 test/formatters/granite/testdata/input_yaml_ollama/instruction.yaml
 create mode 100644 test/formatters/granite/testdata/test_canned_input/answer_relevance_classifier.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/answerability_answerable.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/answerability_extra_params.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/answerability_simple.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/answerability_unanswerable.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/citations.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/gpt_oss_answerability.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/gpt_oss_citations.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/gpt_oss_hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/gpt_oss_query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/instruction.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/query_clarification.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/requirement_check.json
 create mode 100644 test/formatters/granite/testdata/test_canned_input/uncertainty.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_classifier.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/answerability_answerable.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/answerability_simple.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/answerability_unanswerable.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/citations.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_answerability.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_citations.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/query_clarification.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/requirement_check.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/expected_result/uncertainty.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_classifier.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/answerability_answerable.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/answerability_simple.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/answerability_unanswerable.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/citations.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_answerability.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_citations.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/query_clarification.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/requirement_check.json
 create mode 100644 test/formatters/granite/testdata/test_canned_output/model_output/uncertainty.json
 create mode 100644 test/formatters/granite/testdata/test_reparse_json/bare_string.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/answer_relevance_classifier.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/answerability_answerable.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/answerability_simple.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/answerability_unanswerable.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/citations.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/query_clarification.json
 create mode 100644 test/formatters/granite/testdata/test_run_ollama/query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answerability_answerable.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answerability_answerable_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answerability_simple.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/citations.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/citations_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/context_relevance.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/context_relevance_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/hallucination_detection.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/query_clarification.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/query_rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/requirement_check.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/requirement_check_alora.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/rewrite.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/uncertainty.json
 create mode 100644 test/formatters/granite/testdata/test_run_transformers/uncertainty_alora.json
 create mode 100644 test/stdlib/components/docs/test_document.py
 create mode 100644 test/telemetry/test_logging.py

diff --git a/cli/decompose/prompt_modules/validation_report_generator/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/__init__.py
new file mode 100644
index 000000000..ff698c3ed
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/__init__.py
@@ -0,0 +1,5 @@
+from ._exceptions import (
+    BackendGenerationError as BackendGenerationError,
+    TagExtractionError as TagExtractionError,
+)
+from ._validation_report_generator import validation_report_generator as validation_report_generator
\ No newline at end of file
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py b/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
new file mode 100644
index 000000000..1f7949be2
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
@@ -0,0 +1,22 @@
+from typing import Any
+
+
+class ValidationReportError(Exception):
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        self.error_message = error_message
+        self.__dict__.update(kwargs)
+        super().__init__(f'Module Error "validation_report_generator"; {self.error_message}')
+
+
+class BackendGenerationError(ValidationReportError):
+    """Raised when LLM generation fails in the "validation_report_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
+
+
+class TagExtractionError(ValidationReportError):
+    """Raised when tag extraction fails in the "validation_report_generator" prompt module."""
+
+    def __init__(self, error_message: str, **kwargs: dict[str, Any]):
+        super().__init__(error_message, **kwargs)
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt.py
new file mode 100644
index 000000000..b324180fc
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+from jinja2 import Environment, FileSystemLoader
+
+from ._icl_examples import ICLExample, icl_examples as default_icl_examples
+
+this_file_dir = Path(__file__).resolve().parent
+
+environment = Environment(loader=FileSystemLoader(this_file_dir), autoescape=False)
+system_template = environment.get_template("system_template.jinja2")
+user_template = environment.get_template("user_template.jinja2")
+
+
+def get_system_prompt(icl_examples: list[ICLExample] = default_icl_examples) -> str:
+    return system_template.render(icl_examples=icl_examples).strip()
+
+
+def get_user_prompt(constraint_requirement: str) -> str:
+    return user_template.render(constraint_requirement=constraint_requirement).strip()
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py
new file mode 100644
index 000000000..0b985cbe6
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/__init__.py
@@ -0,0 +1,5 @@
+from ._icl_examples import icl_examples as default_icl_examples
+from ._prompt import (
+    get_system_prompt as get_system_prompt,
+    get_user_prompt as get_user_prompt,
+)
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py
new file mode 100644
index 000000000..052fe7c99
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/__init__.py
@@ -0,0 +1,2 @@
+from ._icl_examples import icl_examples as icl_examples
+from ._types import ICLExample as ICLExample
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py
new file mode 100644
index 000000000..afcae4eb9
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_1/_example.py
@@ -0,0 +1,21 @@
+from .._types import ICLExample
+
+# Example 1: Code validation case
+# This example demonstrates a requirement that can be validated deterministically.
+
+constraint_requirement = """Don't mention the word "water"."""
+
+validation_report = """{
+  "constraint_requirement": "Don't mention the word \"water\".",
+  "constraint_name": "no_water",
+  "is_valid": true,
+  "failure_cause": null,
+  "failure_trackback": null,
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py
new file mode 100644
index 000000000..8c7247190
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_2/_example.py
@@ -0,0 +1,21 @@
+from .._types import ICLExample
+
+# Example 2: LLM validation case
+# This example demonstrates a requirement that needs subjective evaluation.
+
+constraint_requirement = """The user interface should be intuitive and provide a seamless experience for first-time users."""
+
+validation_report = """{
+  "constraint_requirement": "The user interface should be intuitive and provide a seamless experience for first-time users.",
+  "constraint_name": "intuitive_user_experience",
+  "is_valid": true,
+  "failure_cause": null,
+  "failure_trackback": null,
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py
new file mode 100644
index 000000000..a8825bf25
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_3/_example.py
@@ -0,0 +1,30 @@
+from .._types import ICLExample
+
+# Example 3: Code validation case
+# This example demonstrates a requirement that involves structured data validation.
+
+constraint_requirement = """The API response must conform to the following JSON schema:
+{
+  "type": "object",
+  "properties": {
+    "id": {"type": "integer"},
+    "name": {"type": "string"},
+    "email": {"type": "string", "format": "email"}
+  },
+  "required": ["id", "name", "email"]
+}"""
+
+validation_report = """{
+  "constraint_requirement": "The API response must conform to the following JSON schema: { \\\"type\\\": \\\"object\\\", \\\"properties\\\": { \\\"id\\\": {\\\"type\\\": \\\"integer\\\"}, \\\"name\\\": {\\\"type\\\": \\\"string\\\"}, \\\"email\\\": {\\\"type\\\": \\\"string\\\", \\\"format\\\": \\\"email\\\"} }, \\\"required\\\": [\\\"id\\\", \\\"name\\\", \\\"email\\\"] }",
+  "constraint_name": "api_response_schema",
+  "is_valid": false,
+  "failure_cause": "Response is missing required property 'email'.",
+  "failure_trackback": ["Required property 'email' not found in response."],
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py
new file mode 100644
index 000000000..6352ec0e8
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_4/_example.py
@@ -0,0 +1,21 @@
+from .._types import ICLExample
+
+# Example 4: LLM validation case
+# This example demonstrates a requirement that involves creative evaluation.
+
+constraint_requirement = """The generated marketing copy should be compelling and persuasive, effectively communicating the product's value proposition to potential customers."""
+
+validation_report = """{
+  "constraint_requirement": "The generated marketing copy should be compelling and persuasive, effectively communicating the product's value proposition to potential customers.",
+  "constraint_name": "marketing_copy_quality",
+  "is_valid": true,
+  "failure_cause": null,
+  "failure_trackback": null,
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py
new file mode 100644
index 000000000..1f9f32ea5
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/__init__.py
@@ -0,0 +1 @@
+from ._example import example as example
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py
new file mode 100644
index 000000000..31920745b
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_example_5/_example.py
@@ -0,0 +1,22 @@
+from .._types import ICLExample
+
+# Example 5: LLM validation case
+# This example demonstrates a requirement that involves semantic content interpretation
+# and structural elements in test case descriptions.
+
+constraint_requirement = """Each test case should include: Test Case description, Precondition, Test Steps, and Expected Outcome"""
+
+validation_report = """{
+  "constraint_requirement": "Each test case should include: Test Case description, Precondition, Test Steps, and Expected Outcome",
+  "constraint_name": "test_case_structure",
+  "is_valid": false,
+  "failure_cause": "The 'Expected Outcome' section is missing from the test case.",
+  "failure_trackback": ["Expected Outcome section not found."],
+  "error_type": null,
+  "error_trackback": null
+}"""
+
+example: ICLExample = {
+    "constraint_requirement": constraint_requirement,
+    "validation_report": validation_report,
+}
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py
new file mode 100644
index 000000000..6b3d11ca0
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_icl_examples.py
@@ -0,0 +1,10 @@
+from ._example_1 import example as example_1
+from ._example_2 import example as example_2
+from ._example_3 import example as example_3
+from ._example_4 import example as example_4
+from ._example_5 import example as example_5
+
+# Add more examples as needed
+from ._types import ICLExample
+
+icl_examples: list[ICLExample] = [example_1, example_2, example_3, example_4, example_5]
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py
new file mode 100644
index 000000000..51503c3f8
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_icl_examples/_types.py
@@ -0,0 +1,6 @@
+from typing import TypedDict
+
+
+class ICLExample(TypedDict):
+    constraint_requirement: str
+    validation_report: str
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py
new file mode 100644
index 000000000..8e8fe890f
--- /dev/null
+++ b/cli/decompose/prompt_modules/validation_report_generator/_prompt/_prompt.py
@@ -0,0 +1,19 @@
+from pathlib import Path
+
+from jinja2 import Environment, FileSystemLoader
+
+from ._icl_examples import ICLExample, icl_examples as default_icl_examples
+
+this_file_dir = Path(__file__).resolve().parent
+
+environment = Environment(loader=FileSystemLoader(this_file_dir), autoescape=False)
+system_template = environment.get_template("system_template.jinja2")
+user_template = environment.get_template("user_template.jinja2")
+
+
+def get_system_prompt(icl_examples: list[ICLExample] = default_icl_examples) -> str:
+    return system_template.render(icl_examples=icl_examples).strip()
+
+
+def get_user_prompt(requirement: str) -> str:
+    return user_template.render(requirement=requirement).strip()
diff --git a/docs/docs/docs.json b/docs/docs/docs.json
index af18f3ef5..37dd7ea40 100644
--- a/docs/docs/docs.json
+++ b/docs/docs/docs.json
@@ -22,40 +22,121 @@
         "tab": "Docs",
         "groups": [
           {
-            "group": "Introduction",
+            "group": "Getting Started",
             "pages": [
-              "overview/mellea-welcome",
-              "overview/architecture",
-              "overview/generative-programming"
+              "getting-started/installation",
+              "getting-started/quickstart"
             ]
           },
           {
-            "group": "Quick Start",
+            "group": "Tutorials",
             "pages": [
-              "overview/overview",
-              "core-concept/requirements",
-              "core-concept/instruct-validate-repair",
-              "core-concept/modeloptions"
+              "tutorials/01-your-first-generative-program",
+              "tutorials/02-streaming-and-async",
+              "tutorials/03-using-generative-slots",
+              "tutorials/04-making-agents-reliable",
+              "tutorials/05-mifying-legacy-code"
             ]
           },
           {
-            "group": "Core Concepts",
+            "group": "Concepts",
             "pages": [
-              "core-concept/generative-slots",
-              "core-concept/mobjects",
-              "core-concept/context-management",
-              "core-concept/agents",
-              "core-concept/prompt-engineering"
+              "concepts/generative-programming",
+              "concepts/generative-functions",
+              "concepts/instruct-validate-repair",
+              "concepts/requirements-system",
+              "concepts/architecture-vs-agents",
+              "concepts/context-and-sessions",
+              "concepts/mobjects-and-mify"
             ]
           },
           {
-            "group": "Extending Mellea",
+            "group": "How-To",
             "pages": [
-              "core-concept/tuning",
-              "core-concept/adapters",
-              "core-concept/alora",
-              "core-concept/interoperability",
-              "core-concept/plugins"
+              "guide/generative-functions",
+              "guide/tools-and-agents",
+              "guide/working-with-data",
+              "guide/backends-and-configuration",
+              "guide/act-and-aact",
+              "guide/m-decompose",
+              "how-to/use-async-and-streaming",
+              "how-to/use-context-and-sessions",
+              "how-to/enforce-structured-output",
+              "how-to/write-custom-verifiers",
+              "how-to/configure-model-options",
+              "how-to/use-images-and-vision",
+              "how-to/build-a-rag-pipeline",
+              "how-to/refactor-prompts-with-cli",
+              "how-to/unit-test-generative-code"
+            ]
+          },
+          {
+            "group": "Examples",
+            "pages": [
+              "examples/index",
+              "examples/data-extraction-pipeline",
+              "examples/legacy-code-integration",
+              "examples/resilient-rag-fallback",
+              "examples/traced-generation-loop"
+            ]
+          },
+          {
+            "group": "Integrations",
+            "pages": [
+              "integrations/ollama",
+              "integrations/huggingface",
+              "integrations/vllm",
+              "integrations/openai",
+              "integrations/vertex-ai",
+              "integrations/bedrock",
+              "integrations/watsonx",
+              "integrations/mcp",
+              "integrations/langchain",
+              "integrations/smolagents",
+              "integrations/m-serve"
+            ]
+          },
+          {
+            "group": "Evaluation and Observability",
+            "pages": [
+              "evaluation-and-observability/handling-exceptions",
+              "evaluation-and-observability/metrics-and-telemetry",
+              "evaluation-and-observability/opentelemetry-tracing",
+              "evaluation-and-observability/evaluate-with-llm-as-a-judge"
+            ]
+          },
+          {
+            "group": "Advanced",
+            "pages": [
+              "advanced/intrinsics",
+              "advanced/lora-and-alora-adapters",
+              "advanced/prefix-caching-and-kv-blocks",
+              "advanced/inference-time-scaling",
+              "advanced/security-and-taint-tracking",
+              "advanced/mellea-core-internals",
+              "advanced/template-formatting",
+              "advanced/custom-components"
+            ]
+          },
+          {
+            "group": "Community",
+            "pages": [
+              "community/contributing-guide",
+              "community/building-extensions",
+              "community/code-of-conduct"
+            ]
+          },
+          {
+            "group": "Reference",
+            "pages": [
+              "guide/glossary"
+            ]
+          },
+          {
+            "group": "Troubleshooting",
+            "pages": [
+              "troubleshooting/common-errors",
+              "troubleshooting/faq"
             ]
           }
         ]
@@ -63,6 +144,7 @@
       {
         "tab": "API Reference",
         "pages": [
+          "api-reference",
           {
             "group": "mellea",
             "pages": [
@@ -70,6 +152,7 @@
                 "group": "backends",
                 "pages": [
                   "api/mellea/backends/backend",
+                  "api/mellea/backends/bedrock",
                   "api/mellea/backends/cache",
                   "api/mellea/backends/dummy",
                   "api/mellea/backends/huggingface",
@@ -107,14 +190,72 @@
                 "group": "formatters",
                 "pages": [
                   "api/mellea/formatters/chat_formatter",
-                  "api/mellea/formatters/template_formatter"
+                  "api/mellea/formatters/template_formatter",
+                  {
+                    "group": "granite",
+                    "pages": [
+                      {
+                        "group": "base",
+                        "pages": [
+                          "api/mellea/formatters/granite/base/base",
+                          "api/mellea/formatters/granite/base/io",
+                          "api/mellea/formatters/granite/base/optional",
+                          "api/mellea/formatters/granite/base/types",
+                          "api/mellea/formatters/granite/base/util"
+                        ]
+                      },
+                      {
+                        "group": "granite3",
+                        "pages": [
+                          "api/mellea/formatters/granite/granite3/constants",
+                          "api/mellea/formatters/granite/granite3/input",
+                          "api/mellea/formatters/granite/granite3/output",
+                          "api/mellea/formatters/granite/granite3/types",
+                          {
+                            "group": "granite32",
+                            "pages": [
+                              "api/mellea/formatters/granite/granite3/granite32/input",
+                              "api/mellea/formatters/granite/granite3/granite32/output",
+                              "api/mellea/formatters/granite/granite3/granite32/types"
+                            ]
+                          },
+                          {
+                            "group": "granite33",
+                            "pages": [
+                              "api/mellea/formatters/granite/granite3/granite33/input",
+                              "api/mellea/formatters/granite/granite3/granite33/output",
+                              "api/mellea/formatters/granite/granite3/granite33/types"
+                            ]
+                          }
+                        ]
+                      },
+                      {
+                        "group": "intrinsics",
+                        "pages": [
+                          "api/mellea/formatters/granite/intrinsics/input",
+                          "api/mellea/formatters/granite/intrinsics/json_util",
+                          "api/mellea/formatters/granite/intrinsics/output",
+                          "api/mellea/formatters/granite/intrinsics/util"
+                        ]
+                      },
+                      {
+                        "group": "retrievers",
+                        "pages": [
+                          "api/mellea/formatters/granite/retrievers/elasticsearch",
+                          "api/mellea/formatters/granite/retrievers/embeddings",
+                          "api/mellea/formatters/granite/retrievers/util"
+                        ]
+                      }
+                    ]
+                  }
                 ]
               },
               {
                 "group": "helpers",
                 "pages": [
                   "api/mellea/helpers/async_helpers",
-                  "api/mellea/helpers/openai_compatible_helpers"
+                  "api/mellea/helpers/openai_compatible_helpers",
+                  "api/mellea/helpers/server_type"
                 ]
               },
               {
@@ -131,6 +272,7 @@
                       "api/mellea/stdlib/components/instruction",
                       "api/mellea/stdlib/components/mify",
                       "api/mellea/stdlib/components/mobject",
+                      "api/mellea/stdlib/components/react",
                       "api/mellea/stdlib/components/simple",
                       "api/mellea/stdlib/components/unit_test_eval",
                       {
@@ -149,6 +291,12 @@
                       }
                     ]
                   },
+                  {
+                    "group": "frameworks",
+                    "pages": [
+                      "api/mellea/stdlib/frameworks/react"
+                    ]
+                  },
                   {
                     "group": "requirements",
                     "pages": [
@@ -186,6 +334,15 @@
                     ]
                   }
                 ]
+              },
+              {
+                "group": "telemetry",
+                "pages": [
+                  "api/mellea/telemetry/backend_instrumentation",
+                  "api/mellea/telemetry/metrics",
+                  "api/mellea/telemetry/telemetry",
+                  "api/mellea/telemetry/tracing"
+                ]
               }
             ]
           },
@@ -197,6 +354,8 @@
                 "group": "alora",
                 "pages": [
                   "api/cli/alora/commands",
+                  "api/cli/alora/intrinsic_uploader",
+                  "api/cli/alora/readme_generator",
                   "api/cli/alora/train",
                   "api/cli/alora/upload"
                 ]
@@ -243,7 +402,7 @@
       },
       {
         "label": "Contribution Guide",
-        "href": "/core-concept/contribution-guide"
+        "href": "https://github.com/generative-computing/mellea/blob/main/CONTRIBUTING.md"
       },
       {
         "label": "Support",
@@ -253,5 +412,31 @@
   },
   "search": {
     "prompt": "Search documentation..."
-  }
+  },
+  "feedback": {
+    "thumbsRating": true
+  },
+  "redirects": [
+    { "source": "/overview/overview", "destination": "/getting-started/quickstart" },
+    { "source": "/overview/mellea-welcome", "destination": "/concepts/generative-programming" },
+    { "source": "/overview/generative-programming", "destination": "/concepts/generative-programming" },
+    { "source": "/overview/architecture", "destination": "/guide/backends-and-configuration" },
+    { "source": "/core-concept/instruct-validate-repair", "destination": "/concepts/instruct-validate-repair" },
+    { "source": "/core-concept/requirements", "destination": "/concepts/requirements-system" },
+    { "source": "/core-concept/generative-slots", "destination": "/guide/generative-functions" },
+    { "source": "/core-concept/mobjects", "destination": "/concepts/mobjects-and-mify" },
+    { "source": "/core-concept/agents", "destination": "/guide/tools-and-agents" },
+    { "source": "/core-concept/context-management", "destination": "/how-to/use-context-and-sessions" },
+    { "source": "/core-concept/alora", "destination": "/advanced/lora-and-alora-adapters" },
+    { "source": "/core-concept/tuning", "destination": "/advanced/lora-and-alora-adapters" },
+    { "source": "/core-concept/modeloptions", "destination": "/how-to/configure-model-options" },
+    { "source": "/core-concept/interoperability", "destination": "/integrations/mcp" },
+    { "source": "/integrations/mcp-and-m-serve", "destination": "/integrations/mcp" },
+    { "source": "/core-concept/adapters", "destination": "/guide/tools-and-agents" },
+    { "source": "/core-concept/contribution-guide", "destination": "/guide/CONTRIBUTING" },
+    { "source": "/core-concept/prompt-engineering", "destination": "/advanced/mellea-core-internals" },
+    { "source": "/integrations/bedrock-and-watsonx", "destination": "/integrations/bedrock" },
+    { "source": "/integrations/huggingface-and-vllm", "destination": "/integrations/huggingface" },
+    { "source": "/integrations/langchain-and-smolagents", "destination": "/integrations/langchain" }
+  ]
 }
diff --git a/pyproject.toml b/pyproject.toml
index fff2a881c..27844bc64 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -73,6 +73,7 @@ telemetry = [
     "opentelemetry-api>=1.20.0",
     "opentelemetry-sdk>=1.20.0",
     "opentelemetry-exporter-otlp>=1.20.0",
+    "opentelemetry-exporter-prometheus>=0.40b0",
     "opentelemetry-distro>=0.59b0",
 ]
 
@@ -121,6 +122,7 @@ test = [
     "pytest-asyncio",
     "pytest-cov>=6.0.0",
     "pytest-timeout",  # For test suite timeout configuration
+    "pytest-recording",  # For blocking network access and using canned server responses
     "pytest-xdist>=3.8.0", # For concurrent test execution (uv run pytest -n auto test/)
     "psutil",  # For test infrastructure: RAM detection in conftest.py
     "nbmake>=1.5.5",  # Notebook testing
@@ -152,6 +154,9 @@ dev = [
     {include-group = "typecheck"},
     {include-group = "build"},
     {include-group = "release"},
+    "griffe>=2.0.0",
+    "mdxify>=0.2.37",
+    "poethepoet>=0.42.1",
 ]
 
 # Documentation and notebooks
@@ -167,6 +172,47 @@ docs = [
     "sphinx_mdinclude",
 ]
 
+# -----------------------------
+# poethepoet - Task Runner
+# -----------------------------
+# Run tasks with: uv run poe <task>
+
+[tool.poe.tasks]
+
+[tool.poe.tasks.apidocs]
+cmd = "python tooling/docs-autogen/build.py"
+help = "Generate + decorate API docs (version auto-detected from pyproject.toml)"
+
+[tool.poe.tasks.apidocs-clean]
+shell = "rm -rf docs/docs/api docs/docs/api-reference.mdx .venv-docs-autogen"
+help = "Remove all generated API docs and build artefacts"
+
+[tool.poe.tasks.apidocs-validate]
+cmd = "python tooling/docs-autogen/validate.py docs/docs/api --coverage-threshold 80"
+help = "Validate generated API docs (coverage, MDX syntax, links)"
+
+[tool.poe.tasks.apidocs-test]
+cmd = "pytest tooling/docs-autogen/"
+help = "Run docs tooling unit tests"
+
+[tool.poe.tasks.apidocs-orphans]
+cmd = "python tooling/docs-autogen/audit_coverage.py --orphans"
+help = "Find MDX files not referenced in docs/mint.json navigation"
+
+[tool.poe.tasks.apidocs-quality]
+cmd = "python tooling/docs-autogen/audit_coverage.py --quality"
+help = "Audit docstring quality for documented public symbols including methods (use --no-methods to skip class methods)"
+
+[tool.poe.tasks.apidocs-preview]
+shell = """
+set -e
+PREVIEW_DIR=/tmp/mellea-preview
+python tooling/docs-autogen/build.py --output-dir "$PREVIEW_DIR/api"
+python tooling/docs-autogen/audit_coverage.py --quality \
+  --docs-dir "$PREVIEW_DIR/api"
+"""
+help = "Generate fresh API docs to /tmp/mellea-preview and audit quality."
+
 # -----------------------------
 # Ruff - Linting and Formatting
 # -----------------------------
@@ -258,11 +304,11 @@ disable_error_code = [
 # -----------------------------
 
 [tool.codespell]
-ignore-words-list = 'mellea,hashi,noo,Asai,asai,nd,mot,rouge,Rouge,Strat,Wight'
+ignore-words-list = 'mellea,hashi,noo,Asai,asai,nd,mot,rouge,Rouge,Strat,Wight,Aer,aer'
 check-filenames = true
 check-hidden = false
 regex = "(?<![a-z])[a-z'`]+|[A-Z][a-z'`]*|[a-z]+'[a-z]*|[a-z]+(?=[_-])|[a-z]+(?=[A-Z])|\\d+"
-skip = 'requirements.txt,uv.lock,CHANGELOG.md'
+skip = 'requirements.txt,uv.lock,CHANGELOG.md,test/formatters/granite/testdata/test_canned_output/model_output/*.json'
 
 # -----------------------------
 # Pytest - Testing Framework
diff --git a/test/MARKERS_GUIDE.md b/test/MARKERS_GUIDE.md
index a53e7bd41..49253bab9 100644
--- a/test/MARKERS_GUIDE.md
+++ b/test/MARKERS_GUIDE.md
@@ -48,6 +48,9 @@ pytest --ignore-api-key-check test/backends/test_openai.py
 # Ignore all checks at once (convenience flag)
 pytest --ignore-all-checks
 
+# Enable GPU process isolation (opt-in, slower but guarantees CUDA memory release)
+pytest --isolate-heavy test/backends/test_vllm.py test/backends/test_huggingface.py
+
 # Combine multiple overrides
 pytest --ignore-gpu-check --ignore-ram-check -m "huggingface"
 ```
@@ -157,6 +160,16 @@ Specify resource or authentication requirements:
   - **Excluded by default** (configured in `pyproject.toml` addopts)
   - Use `pytest -m slow` or `pytest --co -q` to include these tests
 
+### Execution Strategy Markers
+
+- **`@pytest.mark.requires_gpu_isolation`**: Tests requiring OS-level process isolation
+  - Used for heavy GPU tests (vLLM, HuggingFace) that need CUDA memory fully released between modules
+  - Only activates when `--isolate-heavy` flag is used or `CICD=1` is set
+  - Runs each marked module in a separate subprocess to guarantee GPU memory release
+  - **Not a capability check** - this is an execution strategy, not a resource requirement
+  - Separate from `requires_gpu` (which checks if GPU exists)
+  - Example: `test/backends/test_vllm.py`, `test/backends/test_huggingface.py`
+
 ### Composite Markers
 
 - **`@pytest.mark.llm`**: Tests that make LLM calls
@@ -231,6 +244,7 @@ pytestmark = [
     pytest.mark.llm,
     pytest.mark.requires_gpu,
     pytest.mark.requires_heavy_ram,
+    pytest.mark.requires_gpu_isolation,  # Needs process isolation for GPU memory
 ]
 ```
 
@@ -349,6 +363,7 @@ pytestmark = [
     pytest.mark.llm,
     pytest.mark.requires_gpu,
     pytest.mark.requires_heavy_ram,
+    pytest.mark.requires_gpu_isolation,  # Add if needs GPU memory isolation
 ]
 
 @pytest.mark.qualitative
diff --git a/test/README.md b/test/README.md
index 1c52b49d0..00b620154 100644
--- a/test/README.md
+++ b/test/README.md
@@ -17,59 +17,61 @@ uv run pytest -m slow
 
 ## Environment Variables
 
-- `CICD=1` - Enable CI mode (skips qualitative tests, enables aggressive memory cleanup)
+- `CICD=1` - Enable CI mode (skips qualitative tests, enables GPU process isolation)
 - `PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True` - Helps with GPU memory fragmentation
 
-## Heavy GPU Tests - Automatic Process Isolation
+## Heavy GPU Tests - Process Isolation
 
-**Heavy GPU tests (HuggingFace, vLLM) automatically use process isolation when multiple test modules are detected.**
+**Heavy GPU tests (HuggingFace, vLLM) can use process isolation to guarantee GPU memory release between test modules.**
 
 ### Why Process Isolation?
 
-Heavy GPU backends (HuggingFace, vLLM) hold GPU memory at the process level. Even with aggressive cleanup (garbage collection, CUDA cache clearing, etc.), GPU memory remains locked by the CUDA driver until the process exits. When running multiple heavy GPU test modules in sequence, this causes OOM errors.
+Heavy GPU backends (HuggingFace, vLLM) hold GPU memory at the process level. Even with aggressive cleanup (garbage collection, CUDA cache clearing, etc.), GPU memory remains locked by the CUDA driver until the process exits. When running multiple heavy GPU test modules in sequence, this can cause OOM errors.
 
 ### How It Works
 
-The collection hook in `test/conftest.py` detects multiple modules with `requires_heavy_ram` marker and automatically:
+Process isolation is **opt-in** via the `--isolate-heavy` flag or `CICD=1` environment variable. When enabled, the collection hook in `test/conftest.py`:
 
-1. Runs each module in a separate subprocess
-2. Sets required environment variables (`PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True`)
-3. Ensures full GPU memory release between modules
-4. Reports results from all modules
+1. Detects modules marked with `@pytest.mark.requires_gpu_isolation`
+2. Runs each marked module in a separate subprocess
+3. Sets required environment variables (`PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True`)
+4. Ensures full GPU memory release between modules
+5. Reports results from all modules
 
 ### Usage
 
 ```bash
-# Run all heavy GPU tests with automatic isolation
-uv run pytest -m requires_heavy_ram
+# Normal execution (no isolation) - fast, but may hit GPU OOM with multiple heavy modules
+uv run pytest test/backends/test_vllm.py test/backends/test_huggingface.py
 
-# Run vLLM tests specifically
-uv run pytest -m vllm
+# With isolation (opt-in) - slower, but guarantees GPU memory release
+uv run pytest test/backends/test_vllm.py test/backends/test_huggingface.py --isolate-heavy
 
-# Run HuggingFace tests specifically
-uv run pytest -m huggingface
+# Run all heavy GPU tests with isolation
+uv run pytest -m requires_gpu_isolation --isolate-heavy
 
-# Single module runs normally (no isolation needed)
-uv run pytest test/backends/test_vllm.py
+# CI automatically enables isolation (via CICD=1)
+CICD=1 uv run pytest test/backends/
 
-# Works with other pytest options
-uv run pytest -m "requires_heavy_ram and not qualitative"
+# Single module runs normally (no isolation needed even with flag)
+uv run pytest test/backends/test_vllm.py --isolate-heavy
 ```
 
 ### Affected Tests
 
-Tests marked with `@pytest.mark.requires_heavy_ram`:
+Tests marked with `@pytest.mark.requires_gpu_isolation`:
 - `test/backends/test_huggingface.py` - HuggingFace backend tests
-- `test/backends/test_huggingface_tools.py` - HuggingFace tool calling
+- `test/backends/test_huggingface_tools.py` - HuggingFace tool calling tests
 - `test/backends/test_vllm.py` - vLLM backend tests
-- `test/backends/test_vllm_tools.py` - vLLM tool calling
+- `test/backends/test_vllm_tools.py` - vLLM tool calling tests
 
 ### Technical Details
 
-- **Single module**: Runs normally in the main pytest process
+- **Opt-in by default**: Use `--isolate-heavy` flag or set `CICD=1`
+- **Single module**: Runs normally even with isolation flag (no subprocess overhead)
 - **Multiple modules**: Each runs in its own subprocess with full GPU memory isolation
-- **No external server needed**: Tests instantiate `LocalVLLMBackend` directly
-- **Automatic detection**: Based on `@pytest.mark.vllm` marker
+- **Test discovery**: Works normally (`pytest --collect-only`) - isolation only happens during execution
+- **Marker-based**: Only modules with `@pytest.mark.requires_gpu_isolation` are isolated
 
 ## GPU Testing on CUDA Systems
 
@@ -141,9 +143,10 @@ However, this creates the "Parent Trap": the parent pytest process holds a CUDA
 See [`MARKERS_GUIDE.md`](MARKERS_GUIDE.md) for complete marker documentation.
 
 Key markers for GPU testing:
-- `@pytest.mark.vllm` - Requires vLLM backend (local, GPU required, auto-isolated)
+- `@pytest.mark.vllm` - Requires vLLM backend (local, GPU required)
 - `@pytest.mark.huggingface` - Requires HuggingFace backend (local, GPU-heavy)
-- `@pytest.mark.requires_gpu` - Requires GPU hardware
+- `@pytest.mark.requires_gpu` - Requires GPU hardware (capability check)
+- `@pytest.mark.requires_gpu_isolation` - Requires OS-level process isolation for GPU memory (execution strategy)
 - `@pytest.mark.requires_heavy_ram` - Requires 48GB+ RAM
 - `@pytest.mark.slow` - Tests taking >5 minutes
 
diff --git a/test/backends/test_huggingface.py b/test/backends/test_huggingface.py
index 435a9044e..805f8c4d8 100644
--- a/test/backends/test_huggingface.py
+++ b/test/backends/test_huggingface.py
@@ -19,6 +19,7 @@
     pytest.mark.llm,
     pytest.mark.requires_gpu,
     pytest.mark.requires_heavy_ram,
+    pytest.mark.requires_gpu_isolation,  # Activate GPU memory isolation
     # Skip entire module in CI since 17/18 tests are qualitative
     pytest.mark.skipif(
         int(os.environ.get("CICD", 0)) == 1,
diff --git a/test/backends/test_huggingface_tools.py b/test/backends/test_huggingface_tools.py
index 6aa3a317a..76f637afe 100644
--- a/test/backends/test_huggingface_tools.py
+++ b/test/backends/test_huggingface_tools.py
@@ -10,6 +10,7 @@
     pytest.mark.llm,
     pytest.mark.requires_gpu,
     pytest.mark.requires_heavy_ram,
+    pytest.mark.requires_gpu_isolation,
     pytest.mark.skipif(
         int(os.environ.get("CICD", 0)) == 1,
         reason="Skipping HuggingFace tools tests in CI - qualitative test",
diff --git a/test/backends/test_mellea_tool.py b/test/backends/test_mellea_tool.py
index 0409f4276..34ca4f4ef 100644
--- a/test/backends/test_mellea_tool.py
+++ b/test/backends/test_mellea_tool.py
@@ -129,7 +129,7 @@ def test_from_smolagents_basic():
     4. The tool can be executed with arguments
     """
     try:
-        from smolagents import Tool
+        from smolagents import Tool  # type: ignore[import-not-found]
     except ImportError:
         pytest.skip(
             "smolagents not installed - install with: uv pip install 'mellea[smolagents]'"
diff --git a/test/backends/test_ollama.py b/test/backends/test_ollama.py
index c8b77180e..706766ea7 100644
--- a/test/backends/test_ollama.py
+++ b/test/backends/test_ollama.py
@@ -104,12 +104,20 @@ class Email(pydantic.BaseModel):
 @pytest.mark.qualitative
 @pytest.mark.timeout(150)
 async def test_generate_from_raw(session) -> None:
-    prompts = ["what is 1+1?", "what is 2+2?", "what is 3+3?", "what is 4+4?"]
+    # Note capital letter "W" at the beginning of each prompt. This capital letter is
+    # very important to the ollama version of Granite 4.0 micro, the current default
+    # model for Mellea.
+    prompts = ["What is 1+1?", "What is 2+2?", "What is 3+3?", "What is 4+4?"]
 
     results = await session.backend.generate_from_raw(
         actions=[CBlock(value=prompt) for prompt in prompts],
         ctx=session.ctx,
-        model_options={ModelOption.CONTEXT_WINDOW: 2048},
+        model_options={
+            ModelOption.CONTEXT_WINDOW: 2048,
+            # With raw prompts and high temperature, a response of arbitrary
+            # length is normal operation.
+            ModelOption.MAX_NEW_TOKENS: 100,
+        },
     )
 
     assert len(results) == len(prompts)
diff --git a/test/backends/test_vllm.py b/test/backends/test_vllm.py
index bef10833c..9da8df4ac 100644
--- a/test/backends/test_vllm.py
+++ b/test/backends/test_vllm.py
@@ -11,6 +11,7 @@
     pytest.mark.llm,
     pytest.mark.requires_gpu,
     pytest.mark.requires_heavy_ram,
+    pytest.mark.requires_gpu_isolation,  # Activate GPU memory isolation
     # Skip entire module in CI since all 8 tests are qualitative
     pytest.mark.skipif(
         int(os.environ.get("CICD", 0)) == 1,
diff --git a/test/backends/test_vllm_tools.py b/test/backends/test_vllm_tools.py
index db2d2d7d2..1d802a96b 100644
--- a/test/backends/test_vllm_tools.py
+++ b/test/backends/test_vllm_tools.py
@@ -10,6 +10,7 @@
     pytest.mark.llm,
     pytest.mark.requires_gpu,
     pytest.mark.requires_heavy_ram,
+    pytest.mark.requires_gpu_isolation,
     pytest.mark.skipif(
         int(os.environ.get("CICD", 0)) == 1,
         reason="Skipping vLLM tools tests in CI - qualitative test",
diff --git a/test/conftest.py b/test/conftest.py
index b441e7a88..b140d8eba 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -4,6 +4,7 @@
 import sys
 
 import pytest
+import requests
 
 # Try to import optional dependencies for system detection
 try:
@@ -160,6 +161,12 @@ def add_option_safe(option_name, **kwargs):
         default=False,
         help="Register all acceptance plugin sets for every test",
     )
+    add_option_safe(
+        "--isolate-heavy",
+        action="store_true",
+        default=False,
+        help="Run heavy GPU tests in isolated subprocesses (slower, but guarantees CUDA memory release)",
+    )
 
 
 def pytest_configure(config):
@@ -188,6 +195,10 @@ def pytest_configure(config):
     )
     config.addinivalue_line("markers", "requires_gpu: Tests requiring GPU")
     config.addinivalue_line("markers", "requires_heavy_ram: Tests requiring 16GB+ RAM")
+    config.addinivalue_line(
+        "markers",
+        "requires_gpu_isolation: Explicitly tag tests/modules that require OS-level process isolation to clear CUDA memory.",
+    )
     config.addinivalue_line("markers", "qualitative: Non-deterministic quality tests")
 
     # Composite markers
@@ -209,23 +220,6 @@ def pytest_configure(config):
 # ============================================================================
 
 
-def _collect_heavy_ram_modules(session) -> list[str]:
-    """Collect all test modules that have heavy RAM tests (HuggingFace, vLLM, etc.).
-
-    Returns list of module paths (e.g., 'test/backends/test_vllm.py').
-    """
-    heavy_modules = set()
-
-    for item in session.items:
-        # Check if test has requires_heavy_ram marker (covers HF, vLLM, etc.)
-        if item.get_closest_marker("requires_heavy_ram"):
-            # Get the module path
-            module_path = str(item.path)
-            heavy_modules.add(module_path)
-
-    return sorted(heavy_modules)
-
-
 def _run_heavy_modules_isolated(session, heavy_modules: list[str]) -> int:
     """Run heavy RAM test modules in separate processes for GPU memory isolation.
 
@@ -371,48 +365,65 @@ def cleanup_vllm_backend(backend):
 
 
 def pytest_collection_finish(session):
-    """After collection, check if we need heavy GPU test process isolation.
+    """
+    Opt-in process isolation for heavy GPU tests.
+    Prevents CUDA OOMs by forcing OS-level memory release between heavy modules.
+    """
+    # 1. Test Discovery Guard: Never isolate during discovery
+    if session.config.getoption("collectonly", default=False):
+        return
 
-    If heavy RAM tests (HuggingFace, vLLM, etc.) are collected and there are
-    multiple modules, run them in separate processes and exit.
+    # 2. Opt-in Guard: Only isolate if explicitly requested or in CI
+    use_isolation = (
+        session.config.getoption("--isolate-heavy", default=False)
+        or os.environ.get("CICD", "0") == "1"
+    )
+    if not use_isolation:
+        return
 
-    Only activates on systems with CUDA GPUs where memory isolation is needed.
-    """
-    # Only use process isolation on CUDA systems (not macOS/MPS)
-    config = session.config
-    ignore_gpu = config.getoption(
-        "--ignore-gpu-check", default=False
-    ) or config.getoption("--ignore-all-checks", default=False)
-
-    # Check if we have CUDA (not just any GPU - MPS doesn't need this)
-    has_cuda = False
-    if HAS_TORCH and not ignore_gpu:
+    # 3. Hardware Guard: Only applies to CUDA environments
+    try:
         import torch
 
-        has_cuda = torch.cuda.is_available()
-
-    # Only use process isolation if we have CUDA GPU
-    if not has_cuda and not ignore_gpu:
+        if not torch.cuda.is_available():
+            return
+    except ImportError:
         return
 
-    # Collect heavy RAM modules
-    heavy_modules = _collect_heavy_ram_modules(session)
+    # Collect modules explicitly marked for GPU isolation
+    heavy_items = [
+        item
+        for item in session.items
+        if item.get_closest_marker("requires_gpu_isolation")
+    ]
+
+    # Extract unique module paths
+    heavy_modules = list({str(item.path) for item in heavy_items})
 
-    # Only use process isolation if multiple modules
     if len(heavy_modules) <= 1:
-        return
+        return  # No isolation needed for a single module
 
-    # Run modules in isolation
-    exit_code = _run_heavy_modules_isolated(session, heavy_modules)
+    # Confirmation logging: Show which modules will be isolated
+    print(f"\n[INFO] GPU Isolation enabled for {len(heavy_modules)} modules:")
+    for module in heavy_modules:
+        print(f"  - {module}")
 
-    # Clear collected items so pytest doesn't run them again
-    session.items.clear()
+    # Execute heavy modules in subprocesses
+    exit_code = _run_heavy_modules_isolated(session, heavy_modules)
 
-    # Set flag to indicate we handled heavy tests
-    session.config._heavy_process_isolation = True
+    # 4. Non-Destructive Execution: Remove heavy items, DO NOT exit.
+    session.items = [
+        item for item in session.items if str(item.path) not in heavy_modules
+    ]
 
-    # Exit with appropriate code
-    pytest.exit("Heavy GPU tests completed in isolated processes", returncode=exit_code)
+    # Propagate subprocess failures to the main pytest session
+    if exit_code != 0:
+        # Count actual test failures from the isolated modules
+        # Note: We increment testsfailed by the number of modules that failed,
+        # not the total number of modules. The _run_heavy_modules_isolated
+        # function already tracks which modules failed.
+        session.testsfailed += 1  # Mark that failures occurred
+        session.exitstatus = exit_code
 
 
 # ============================================================================
@@ -601,6 +612,12 @@ async def register_acceptance_sets(request):
         # If plugins are enabled, we don't need to re-enable them for this specific test.
         return
 
+    from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
+
+    if not _HAS_PLUGIN_FRAMEWORK:
+        yield
+        return
+
     from mellea.plugins import register
     from mellea.plugins.manager import shutdown_plugins
     from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
@@ -621,6 +638,12 @@ async def auto_register_acceptance_sets(request):
         yield
         return
 
+    from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
+
+    if not _HAS_PLUGIN_FRAMEWORK:
+        yield
+        return
+
     from mellea.plugins import register
     from mellea.plugins.manager import shutdown_plugins
     from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
diff --git a/test/core/test_astream_incremental.py b/test/core/test_astream_incremental.py
index 78b0c2a8a..d34b8e70d 100644
--- a/test/core/test_astream_incremental.py
+++ b/test/core/test_astream_incremental.py
@@ -87,11 +87,10 @@ async def test_astream_multiple_calls_accumulate_correctly():
     # Stream until computed
     while not mot.is_computed():
         chunk = await mot.astream()
-        if chunk:
+
+        if chunk is not None:
             chunks.append(chunk)
-            # Only accumulate if this wasn't the final (completing) chunk
-            if not mot.is_computed():
-                accumulated += chunk
+            accumulated += chunk
 
         # Safety: don't loop forever
         if len(chunks) > 100:
@@ -100,22 +99,14 @@ async def test_astream_multiple_calls_accumulate_correctly():
     # Get final value
     final_val = await mot.avalue()
 
-    # The last chunk should be the full value when computed
-    if len(chunks) > 0:
-        assert chunks[-1] == final_val, (
-            f"Last chunk (when computed) should be full value.\n"
-            f"Last chunk: {chunks[-1]!r}\n"
-            f"Final: {final_val!r}"
-        )
-
     # All chunks except the last should be incremental
-    if len(chunks) > 1:
-        incremental_accumulated = "".join(chunks[:-1])
-        assert final_val.startswith(incremental_accumulated), (
-            f"Incremental chunks should be prefix of final value.\n"
-            f"Accumulated: {incremental_accumulated!r}\n"
-            f"Final: {final_val!r}"
-        )
+    assert len(chunks) > 1, "There should be at least one chunk."
+    incremental_accumulated = "".join(chunks)
+    assert final_val == incremental_accumulated, (
+        f"Joined incremental chunks should be final value.\n"
+        f"Accumulated: {incremental_accumulated!r}\n"
+        f"Final: {final_val!r}"
+    )
 
 
 @pytest.mark.ollama
@@ -174,63 +165,44 @@ async def test_astream_empty_beginning():
 
 @pytest.mark.ollama
 @pytest.mark.llm
-async def test_astream_computed_returns_full_value():
-    """Test that astream returns full value when already computed."""
+async def test_computed_mot_raises_error_for_astream():
+    """Test that computed mot raises an error for astream() calls."""
+
     # Create a pre-computed thunk
     mot = ModelOutputThunk(value="Hello, world!")
     mot._computed = True
 
-    # astream should return the full value immediately (line 272)
-    result = await mot.astream()
-
-    assert result == "Hello, world!", "Computed thunk should return full value"
+    try:
+        await mot.astream()
+        assert False
+    except RuntimeError:
+        pass
+    else:
+        assert False, "Expected RuntimeError, got another error"
 
 
 @pytest.mark.ollama
 @pytest.mark.llm
-async def test_astream_final_call_returns_full_value():
-    """Test that the final astream call returns the full value when computed.
-
-    This tests the behavior at line 350 in base.py where the final call
-    (when _computed becomes True) returns the full _underlying_value.
-    """
+async def test_non_streaming_astream():
+    """Test that non-streaming astream has exactly one chunk."""
     session = start_session()
-    model_opts = {ModelOption.STREAM: True}
+    model_opts = {ModelOption.STREAM: False}
 
     mot, _ = await session.backend.generate_from_context(
-        CBlock("Count: 1, 2, 3"), SimpleContext(), model_options=model_opts
+        CBlock("Hi"), SimpleContext(), model_options=model_opts
     )
 
     chunks = []
-
-    # Collect all chunks
+    # Stream until computed
     while not mot.is_computed():
         chunk = await mot.astream()
-        if chunk:
+        if chunk is not None:
             chunks.append(chunk)
 
-        if len(chunks) > 100:  # Safety
-            break
-
-    # Get final value
-    final_val = await mot.avalue()
-
-    # The last chunk should be the full value (not incremental)
-    if len(chunks) > 0:
-        assert chunks[-1] == final_val, (
-            f"Final chunk should be the complete value.\n"
-            f"Last chunk: {chunks[-1]!r}\n"
-            f"Final value: {final_val!r}"
-        )
-
-    # All chunks before the last should be incremental (non-overlapping)
-    for i in range(len(chunks) - 2):  # Exclude the last chunk
-        for j in range(i + 1, len(chunks) - 1):  # Exclude the last chunk
-            # Earlier incremental chunks shouldn't be prefixes of later ones
-            if chunks[j] and chunks[i]:
-                assert not chunks[j].startswith(chunks[i]), (
-                    f"Incremental chunk {j} should not start with chunk {i}"
-                )
+    assert len(chunks) == 1, "There should be at least one chunk."
+    incremental_accumulated = "".join(chunks)
+    full_text = await mot.avalue()
+    assert full_text == incremental_accumulated
 
 
 if __name__ == "__main__":
diff --git a/test/decompose/test_decompose.py b/test/decompose/test_decompose.py
index de21d9d31..883ff905f 100644
--- a/test/decompose/test_decompose.py
+++ b/test/decompose/test_decompose.py
@@ -23,7 +23,6 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -32,7 +31,6 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -41,7 +39,6 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -63,7 +60,6 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -72,7 +68,6 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -81,7 +76,6 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -103,7 +97,6 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -112,7 +105,6 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -121,7 +113,6 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -130,7 +121,6 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -152,7 +142,6 @@ def test_case_insensitive_dependencies(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "task_b",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -161,7 +150,6 @@ def test_case_insensitive_dependencies(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -182,7 +170,6 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -191,7 +178,6 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -201,7 +187,6 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -210,7 +195,6 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -235,7 +219,6 @@ def test_nonexistent_dependency_ignored(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -247,7 +230,6 @@ def test_nonexistent_dependency_ignored(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -268,7 +250,6 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "3. Do task C",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -277,7 +258,6 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "2. Do task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -286,7 +266,6 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "1. Do task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -308,7 +287,6 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
             {
                 "subtask": "2. Numbered task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -317,7 +295,6 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
             {
                 "subtask": "Unnumbered task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -338,7 +315,6 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "4. Final task",
                 "tag": "TASK_D",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -347,7 +323,6 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "3. Third task",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -356,7 +331,6 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "2. Second task",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -365,7 +339,6 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "1. First task",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -393,7 +366,6 @@ def test_circular_dependency_two_nodes(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -402,7 +374,6 @@ def test_circular_dependency_two_nodes(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -419,7 +390,6 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -428,7 +398,6 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
                 "input_vars_required": [],
@@ -437,7 +406,6 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
                 "input_vars_required": [],
@@ -454,7 +422,6 @@ def test_self_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
-                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
                 "input_vars_required": [],
@@ -492,7 +459,6 @@ def test_no_input_vars_no_dependencies(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -516,7 +482,6 @@ def test_valid_input_vars(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A with {{ USER_INPUT }}",
                     "input_vars_required": ["USER_INPUT"],
@@ -539,7 +504,6 @@ def test_case_insensitive_input_vars(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["user_input"],  # lowercase
@@ -563,7 +527,6 @@ def test_valid_dependencies_in_order(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -572,7 +535,6 @@ def test_valid_dependencies_in_order(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -597,7 +559,6 @@ def test_dependencies_out_of_order_triggers_reorder(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -606,7 +567,6 @@ def test_dependencies_out_of_order_triggers_reorder(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -631,7 +591,6 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task D",
                     "tag": "TASK_D",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do D",
                     "input_vars_required": [],
@@ -640,7 +599,6 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task C",
                     "tag": "TASK_C",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do C",
                     "input_vars_required": [],
@@ -649,7 +607,6 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -658,7 +615,6 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -687,7 +643,6 @@ def test_missing_required_input_var(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["MISSING_VAR"],
@@ -712,7 +667,6 @@ def test_missing_required_input_var_with_some_provided(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["VAR1", "VAR2"],
@@ -737,7 +691,6 @@ def test_dependency_on_nonexistent_subtask(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -762,7 +715,6 @@ def test_circular_dependency_detected(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -771,7 +723,6 @@ def test_circular_dependency_detected(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -793,7 +744,6 @@ def test_empty_input_var_list_treated_as_none(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
-                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["REQUIRED_VAR"],
diff --git a/test/formatters/granite/test_intrinsics_formatters.py b/test/formatters/granite/test_intrinsics_formatters.py
new file mode 100644
index 000000000..07b41d447
--- /dev/null
+++ b/test/formatters/granite/test_intrinsics_formatters.py
@@ -0,0 +1,804 @@
+# SPDX-License-Identifier: Apache-2.0
+
+__doc__ = """
+Tests of code under ``mellea.formatters.granite``
+"""
+
+# Standard
+import copy
+import json
+import os
+import pathlib
+from unittest import mock
+
+# Third Party
+import openai
+import pydantic
+import pytest
+import requests
+import torch
+import yaml
+
+# First Party
+from mellea.formatters.granite import (
+    ChatCompletion,
+    ChatCompletionResponse,
+    IntrinsicsResultProcessor,
+    IntrinsicsRewriter,
+)
+from mellea.formatters.granite.base import util as base_util
+from mellea.formatters.granite.intrinsics import json_util, util as intrinsics_util
+
+
+def _read_file(name):
+    with open(name, encoding="utf-8") as f:
+        return f.read()
+
+
+_TEST_DATA_DIR = pathlib.Path(os.path.dirname(__file__)) / "testdata"
+
+# Location from which our tests download adapters and YAML files
+_RAG_INTRINSICS_REPO_NAME = "ibm-granite/granite-lib-rag-r1.0"
+
+
+_INPUT_JSON_DIR = _TEST_DATA_DIR / "input_json"
+_INPUT_YAML_DIR = _TEST_DATA_DIR / "input_yaml"
+_INPUT_ARGS_DIR = _TEST_DATA_DIR / "input_args"
+
+
+class YamlJsonCombo(pydantic.BaseModel):
+    """Dataclass that drives configuration for most tests in this file."""
+
+    short_name: str
+    """Short name for the test scenario, for printing to the logs."""
+    yaml_file: pathlib.Path | None = None
+    """Location of local YAML file, or ``None`` to download from remote repo.
+    If the file is downloaded, the validator for this field will update this field
+    automatically."""
+    inputs_file: pathlib.Path
+    """Location of local JSON input file."""
+    arguments_file: pathlib.Path | None = None
+    """Location of local JSON file of arguments, or ``None`` if no arguments."""
+    task: str | None = None
+    """Name of target task, used for loading adapters. ``None`` means no adapter and
+    no inference tests."""
+    is_alora: bool = False
+    """``True`` to use the activated LoRA variant of the model for inference tests."""
+    repo_id: str = _RAG_INTRINSICS_REPO_NAME
+    """Repo on Hugging Face Hub from which the adapter for this intrinsic should be
+    loaded."""
+    revision: str = "main"
+    """Revision or branch of the Hugging Face `repo_id`."""
+    base_model_id: str = "ibm-granite/granite-4.0-micro"
+    """Base model on which the target adapter was trained. Should be small enough to
+    run on the CI server."""
+
+    @pydantic.model_validator(mode="after")
+    def _maybe_download_yaml(self):
+        """
+        If YAML file is not provided, download one based on other attributes of this
+        object.
+        """
+        if not self.yaml_file:
+            self.yaml_file = intrinsics_util.obtain_io_yaml(
+                self.task, self.base_model_id, self.repo_id, revision=self.revision
+            )
+        return self
+
+
+_YAML_JSON_COMBOS_LIST = [
+    # Short name => YAML file, JSON file, model file, arguments file, is aLoRA
+    YamlJsonCombo(
+        short_name="answerability_simple",
+        inputs_file=_INPUT_JSON_DIR / "simple.json",
+        task="answerability",
+    ),
+    YamlJsonCombo(
+        short_name="answerability_extra_params",
+        yaml_file=_INPUT_YAML_DIR / "answerability.yaml",
+        inputs_file=_INPUT_JSON_DIR / "extra_params.json",
+        task=None,  # Fake config, no inference
+    ),
+    YamlJsonCombo(
+        short_name="answerability_answerable",
+        inputs_file=_INPUT_JSON_DIR / "answerable.json",
+        task="answerability",
+    ),
+    YamlJsonCombo(
+        short_name="answerability_answerable_alora",
+        inputs_file=_INPUT_JSON_DIR / "answerable.json",
+        task="answerability",
+        is_alora=True,
+    ),
+    YamlJsonCombo(
+        short_name="answerability_unanswerable",
+        inputs_file=_INPUT_JSON_DIR / "unanswerable.json",
+        task="answerability",
+    ),
+    YamlJsonCombo(
+        short_name="instruction",
+        yaml_file=_INPUT_YAML_DIR / "instruction.yaml",
+        inputs_file=_INPUT_JSON_DIR / "instruction.json",
+        arguments_file=_INPUT_ARGS_DIR / "instruction.json",
+        task=None,  # Fake config, no model
+    ),
+    YamlJsonCombo(
+        short_name="hallucination_detection",
+        inputs_file=_INPUT_JSON_DIR / "hallucination_detection.json",
+        task="hallucination_detection",
+    ),
+    # aLoRA adapter for this intrinsic not currently available
+    # YamlJsonCombo(
+    #     short_name="hallucination_detection_alora",
+    #     inputs_file=_INPUT_JSON_DIR / "hallucination_detection.json",
+    #     task="hallucination_detection",
+    #     is_alora=True
+    # ),
+    YamlJsonCombo(
+        short_name="query_clarification",
+        inputs_file=_INPUT_JSON_DIR / "query_clarification.json",
+        task="query_clarification",
+    ),
+    YamlJsonCombo(
+        short_name="query_rewrite",
+        inputs_file=_INPUT_JSON_DIR / "query_rewrite.json",
+        task="query_rewrite",
+    ),
+    YamlJsonCombo(
+        short_name="requirement_check",
+        inputs_file=_INPUT_JSON_DIR / "requirement_check.json",
+        arguments_file=_INPUT_ARGS_DIR / "requirement_check.json",
+        task="requirement_check",
+        # Granite 4.0 adapters not currently available
+        repo_id="ibm-granite/rag-intrinsics-lib",
+        base_model_id="ibm-granite/granite-3.3-2b-instruct",
+    ),
+    YamlJsonCombo(
+        short_name="requirement_check_alora",
+        inputs_file=_INPUT_JSON_DIR / "requirement_check.json",
+        arguments_file=_INPUT_ARGS_DIR / "requirement_check.json",
+        task="requirement_check",
+        is_alora=True,
+        # Granite 4.0 adapters not currently available
+        repo_id="ibm-granite/rag-intrinsics-lib",
+        base_model_id="ibm-granite/granite-3.3-2b-instruct",
+    ),
+    YamlJsonCombo(
+        short_name="uncertainty",
+        inputs_file=_INPUT_JSON_DIR / "uncertainty.json",
+        task="uncertainty",
+        # Granite 4.0 adapters not currently available
+        repo_id="ibm-granite/rag-intrinsics-lib",
+        base_model_id="ibm-granite/granite-3.3-2b-instruct",
+    ),
+    YamlJsonCombo(
+        short_name="uncertainty_alora",
+        inputs_file=_INPUT_JSON_DIR / "uncertainty.json",
+        task="uncertainty",
+        is_alora=True,
+        # Granite 4.0 adapters not currently available
+        repo_id="ibm-granite/rag-intrinsics-lib",
+        base_model_id="ibm-granite/granite-3.3-2b-instruct",
+    ),
+    YamlJsonCombo(
+        short_name="context_relevance",
+        inputs_file=_INPUT_JSON_DIR / "context_relevance.json",
+        arguments_file=_INPUT_ARGS_DIR / "context_relevance.json",
+        task="context_relevance",
+    ),
+    YamlJsonCombo(
+        short_name="context_relevance_alora",
+        inputs_file=_INPUT_JSON_DIR / "context_relevance.json",
+        arguments_file=_INPUT_ARGS_DIR / "context_relevance.json",
+        task="context_relevance",
+        is_alora=True,
+    ),
+    YamlJsonCombo(
+        short_name="answer_relevance_classifier",
+        inputs_file=_INPUT_JSON_DIR / "answer_relevance_classifier.json",
+        task="answer_relevance_classifier",
+    ),
+    # aLoRA adapter for this intrinsic not currently available
+    # YamlJsonCombo(
+    #     short_name="answer_relevance_classifier_alora",
+    #     inputs_file=_INPUT_JSON_DIR / "answer_relevance_classifier.json",
+    #     task="answer_relevance_classifier",
+    #     is_alora=True,
+    # ),
+    YamlJsonCombo(
+        short_name="answer_relevance_rewriter",
+        inputs_file=_INPUT_JSON_DIR / "answer_relevance_rewriter.json",
+        arguments_file=_INPUT_ARGS_DIR / "answer_relevance_rewriter.json",
+        task="answer_relevance_rewriter",
+    ),
+    # aLoRA adapter for this intrinsic not currently available
+    # YamlJsonCombo(
+    #     short_name="answer_relevance_rewriter_alora",
+    #     inputs_file=_INPUT_JSON_DIR / "answer_relevance_rewriter.json",
+    #     arguments_file=_INPUT_ARGS_DIR / "answer_relevance_rewriter.json",
+    #     task="answer_relevance_rewriter",
+    #     is_alora=True,
+    # ),
+    YamlJsonCombo(
+        short_name="citations",
+        inputs_file=_INPUT_JSON_DIR / "citations.json",
+        task="citations",
+    ),
+    # aLoRA adapter for this intrinsic not currently available
+    # YamlJsonCombo(
+    #     short_name="citations_alora",
+    #     inputs_file=_INPUT_JSON_DIR / "citations.json",
+    #     task="citations",
+    #     is_alora=True,
+    # ),
+    # gpt-oss-20b intrinsics (canned output tests only, no inference)
+    YamlJsonCombo(
+        short_name="gpt_oss_answerability",
+        inputs_file=_INPUT_JSON_DIR / "answerable.json",
+        task="answerability",
+        repo_id="ibm-granite/granite-lib-rag-gpt-oss-r1.0",
+        base_model_id="openai/gpt-oss-20b",
+    ),
+    YamlJsonCombo(
+        short_name="gpt_oss_citations",
+        inputs_file=_INPUT_JSON_DIR / "citations.json",
+        task="citations",
+        repo_id="ibm-granite/granite-lib-rag-gpt-oss-r1.0",
+        base_model_id="openai/gpt-oss-20b",
+    ),
+    YamlJsonCombo(
+        short_name="gpt_oss_hallucination_detection",
+        inputs_file=_INPUT_JSON_DIR / "hallucination_detection.json",
+        task="hallucination_detection",
+        repo_id="ibm-granite/granite-lib-rag-gpt-oss-r1.0",
+        base_model_id="openai/gpt-oss-20b",
+    ),
+    YamlJsonCombo(
+        short_name="gpt_oss_query_rewrite",
+        inputs_file=_INPUT_JSON_DIR / "query_rewrite.json",
+        task="query_rewrite",
+        repo_id="ibm-granite/granite-lib-rag-gpt-oss-r1.0",
+        base_model_id="openai/gpt-oss-20b",
+    ),
+]
+_YAML_JSON_COMBOS = {c.short_name: c for c in _YAML_JSON_COMBOS_LIST}
+
+
+# Base models that are small enough to run locally with transformers
+_LOCAL_BASE_MODELS = {
+    "ibm-granite/granite-4.0-micro",
+    "ibm-granite/granite-3.3-2b-instruct",
+}
+
+# All combinations of input and model where a model is present
+_YAML_JSON_COMBOS_WITH_MODEL = {
+    k: v
+    for k, v in _YAML_JSON_COMBOS.items()
+    if v.task is not None and v.base_model_id in _LOCAL_BASE_MODELS
+}
+
+# All combinations of input and model that are not aLoRA models (includes no model)
+_YAML_JSON_COMBOS_NO_ALORA = {
+    k: v for k, v in _YAML_JSON_COMBOS.items() if not v.is_alora
+}
+
+_YAML_JSON_COMBOS_WITH_LORA_MODEL = {
+    k: v for k, v in _YAML_JSON_COMBOS.items() if v.task is not None and not v.is_alora
+}
+
+# Combinations suitable for an Ollama backend
+_YAML_JSON_COMBOS_FOR_OLLAMA = {
+    k: v
+    for k, v in _YAML_JSON_COMBOS.items()
+    if v.task is not None
+    and not v.is_alora
+    and v.base_model_id == "ibm-granite/granite-4.0-micro"
+}
+
+
+@pytest.fixture(name="yaml_json_combo", scope="module", params=_YAML_JSON_COMBOS)
+def _yaml_json_combo(request: pytest.FixtureRequest) -> YamlJsonCombo:
+    """Pytest fixture that allows us to run a given test case repeatedly with multiple
+    different combinations of IO configuration and chat completion request.
+
+    Uses the files in ``testdata/input_json`` and ``testdata/input_yaml``.
+
+    Returns test configuration.
+    """
+    return _YAML_JSON_COMBOS[request.param]
+
+
+@pytest.fixture(
+    name="yaml_json_combo_no_alora", scope="module", params=_YAML_JSON_COMBOS_NO_ALORA
+)
+def _yaml_json_combo_no_alora(request: pytest.FixtureRequest) -> YamlJsonCombo:
+    """Pytest fixture that allows us to run a given test case repeatedly with multiple
+    different combinations of IO configuration and chat completion request. Ignores
+    model configs that use the aLoRA variant of the model.
+
+    Uses the files in ``testdata/input_json`` and ``testdata/input_yaml``.
+
+    Returns tuple of short name, YAML file, JSON file, model directory, and
+    arguments file.
+    """
+    return _YAML_JSON_COMBOS_NO_ALORA[request.param]
+
+
+@pytest.fixture(
+    name="yaml_json_combo_with_model",
+    scope="module",
+    params=_YAML_JSON_COMBOS_WITH_MODEL,
+)
+def _yaml_json_combo_with_model(request: pytest.FixtureRequest) -> YamlJsonCombo:
+    """Version of :func:`_yaml_json_combo()` fixture with only the inputs that have
+    models.
+    """
+    return _YAML_JSON_COMBOS_WITH_MODEL[request.param]
+
+
+@pytest.fixture(
+    name="yaml_json_combo_with_lora_model",
+    scope="module",
+    params=_YAML_JSON_COMBOS_WITH_LORA_MODEL,
+)
+def _yaml_json_combo_with_lora_model(request: pytest.FixtureRequest) -> YamlJsonCombo:
+    """Version of :func:`_yaml_json_combo()` fixture with only the inputs that have
+    non-aLoRA models.
+    """
+    return _YAML_JSON_COMBOS_WITH_LORA_MODEL[request.param]
+
+
+@pytest.fixture(
+    name="yaml_json_combo_for_ollama",
+    scope="module",
+    params=_YAML_JSON_COMBOS_FOR_OLLAMA,
+)
+def _yaml_json_combo_for_ollama(request: pytest.FixtureRequest) -> YamlJsonCombo:
+    """Version of :func:`_yaml_json_combo()` fixture with only inputs suitable
+    for an Ollama backend.
+    """
+    return _YAML_JSON_COMBOS_FOR_OLLAMA[request.param]
+
+
+def test_no_orphan_files():
+    """Check whether there are input files that aren't used by any test."""
+    used_json_files = {t.inputs_file for t in _YAML_JSON_COMBOS.values()}
+    all_json_files = list(_INPUT_JSON_DIR.iterdir())
+    used_yaml_files = {t.yaml_file for t in _YAML_JSON_COMBOS.values()}
+    all_yaml_files = list(_INPUT_YAML_DIR.iterdir())
+
+    for f in all_json_files:
+        if f not in used_json_files:
+            raise ValueError(
+                f"JSON File '{f}' not used. Files are {all_json_files}; "
+                f"Used files are {list(used_json_files)}"
+            )
+    for f in all_yaml_files:
+        if f not in used_yaml_files:
+            raise ValueError(
+                f"YAML File '{f}' not used. Files are {all_yaml_files}; "
+                f"Used files are {list(used_yaml_files)}"
+            )
+
+
+def test_read_yaml():
+    """Sanity check to verify that reading a model's YAML file from disk works."""
+    # Read from local disk
+    with open(_INPUT_YAML_DIR / "answerability.yaml", encoding="utf8") as file:
+        data = yaml.safe_load(file)
+    assert data["model"] is None
+
+    original_data = copy.deepcopy(data)
+
+    # Instantiate directly from dictionary
+    IntrinsicsRewriter(config_dict=data)
+
+    # Data shouldn't be modified
+    assert original_data == data
+
+    # Manually run through the make_config_dict() function, because apparently users
+    # will try to do this.
+    data2 = intrinsics_util.make_config_dict(_INPUT_YAML_DIR / "answerability.yaml")
+    IntrinsicsRewriter(config_dict=data2)
+
+    # Read from local disk
+    IntrinsicsRewriter(config_file=_INPUT_YAML_DIR / "answerability.yaml")
+
+    # Read from Hugging Face hub.
+    local_path = intrinsics_util.obtain_io_yaml(
+        "answerability", "granite-4.0-micro", _RAG_INTRINSICS_REPO_NAME
+    )
+    IntrinsicsRewriter(config_file=local_path)
+
+
+_CANNED_INPUT_EXPECTED_DIR = _TEST_DATA_DIR / "test_canned_input"
+
+
+def test_canned_input(yaml_json_combo_no_alora):
+    """
+    Verify that a given combination of chat completion and rewriting config produces
+    the expected output
+    """
+    cfg = yaml_json_combo_no_alora
+    if cfg.arguments_file:
+        with open(cfg.arguments_file, encoding="utf8") as f:
+            transform_kwargs = json.load(f)
+    else:
+        transform_kwargs = {}
+
+    rewriter = IntrinsicsRewriter(config_file=cfg.yaml_file)
+
+    json_data = _read_file(cfg.inputs_file)
+    before = ChatCompletion.model_validate_json(json_data)
+    after = rewriter.transform(before, **transform_kwargs)
+    after_json = after.model_dump_json(indent=2)
+
+    expected_file = _CANNED_INPUT_EXPECTED_DIR / f"{cfg.short_name}.json"
+    with open(expected_file, encoding="utf-8") as f:
+        expected_json = f.read()
+
+    print(f"{after_json=}")
+    assert after_json == expected_json
+
+
+@pytest.mark.block_network
+def test_openai_compat(yaml_json_combo_no_alora):
+    """
+    Verify that the dataclasses for intrinsics chat completions can be directly passed
+    to the OpenAI Python API without raising parsing errors.
+    """
+    cfg = yaml_json_combo_no_alora
+    if cfg.arguments_file:
+        with open(cfg.arguments_file, encoding="utf8") as f:
+            transform_kwargs = json.load(f)
+    else:
+        transform_kwargs = {}
+
+    # Temporary: Use a YAML file from local disk
+    rewriter = IntrinsicsRewriter(config_file=cfg.yaml_file)
+    json_data = _read_file(cfg.inputs_file)
+    before = ChatCompletion.model_validate_json(json_data)
+    after = rewriter.transform(before, **transform_kwargs)
+
+    # Create a fake connection to the API so we can use its request validation code.
+    # Note that network access is blocked for this test case.
+    openai_base_url = "http://example.com:98765/not/a/valid/url"
+    openai_api_key = "not_a_valid_api_key"
+    client = openai.OpenAI(base_url=openai_base_url, api_key=openai_api_key)
+
+    # OpenAI requires a model name
+    before.model = "dummy_model_name"
+    after.model = "dummy_model_name"
+
+    # The client should get all the way through validation and fail to connect
+    with pytest.raises(openai.APIConnectionError):
+        client.chat.completions.create(**(before.model_dump()))
+    with pytest.raises(openai.APIConnectionError):
+        client.chat.completions.create(**(after.model_dump()))
+
+
+_CANNED_OUTPUT_MODEL_OUTPUT_DIR = _TEST_DATA_DIR / "test_canned_output/model_output"
+_CANNED_OUTPUT_EXPECTED_DIR = _TEST_DATA_DIR / "test_canned_output/expected_result"
+
+
+def test_canned_output(yaml_json_combo_with_lora_model):
+    """
+    Verify that the output processing for each model works on previous model outputs
+    read from disk. Model outputs are stored in OpenAI format.
+
+    :param yaml_json_combo_no_alora: Same cases as test_canned_input
+    """
+    # _, yaml_ile, input_file, output_file, expected_file = yaml_output_combo
+
+    # Same cases as test_canned_input
+    cfg = yaml_json_combo_with_lora_model
+
+    # Input is input to model, not input to rewriter
+    input_file = _CANNED_INPUT_EXPECTED_DIR / f"{cfg.short_name}.json"
+    output_file = _CANNED_OUTPUT_MODEL_OUTPUT_DIR / f"{cfg.short_name}.json"
+    expected_file = _CANNED_OUTPUT_EXPECTED_DIR / f"{cfg.short_name}.json"
+
+    processor = IntrinsicsResultProcessor(config_file=cfg.yaml_file)
+    with open(input_file, encoding="utf-8") as f:
+        model_input = ChatCompletion.model_validate_json(f.read())
+    with open(output_file, encoding="utf-8") as f:
+        model_output = ChatCompletionResponse.model_validate_json(f.read())
+
+    transformed = processor.transform(model_output, model_input)
+
+    # Pull this string out of the debugger to update expected file
+    transformed_str = transformed.model_dump_json(indent=4)
+
+    with open(expected_file, encoding="utf-8") as f:
+        expected = ChatCompletionResponse.model_validate_json(f.read())
+    expected_str = expected.model_dump_json(indent=4)
+
+    # Do an approximate comparison of numeric values.
+    # Can't use pytest.approx() because of lists and floats encoded as strings
+    transformed_json = _round_floats(json.loads(transformed_str))
+    expected_json = _round_floats(json.loads(expected_str))
+
+    assert transformed_json == expected_json
+
+
+_REPARSE_JSON_DIR = _TEST_DATA_DIR / "test_reparse_json"
+_REPARSE_JSON_FILES = [
+    name for name in os.listdir(_REPARSE_JSON_DIR) if name.endswith(".json")
+]
+
+
+@pytest.fixture(name="reparse_json_file", scope="module", params=_REPARSE_JSON_FILES)
+def _reparse_json_file(request: pytest.FixtureRequest) -> tuple[str, str, str]:
+    """Pytest fixture that returns each file in _REPARSE_JSON_DIR in turn"""
+    return request.param
+
+
+def test_reparse_json(reparse_json_file):
+    """Ensure that we can reparse JSON data to find position information for
+    literals."""
+    json_file = _REPARSE_JSON_DIR / reparse_json_file
+    json_str = _read_file(json_file)
+
+    parsed_json = json.loads(json_str)
+    reparsed_json = json_util.reparse_json_with_offsets(json_str)
+
+    assert json_util.scalar_paths(parsed_json) == json_util.scalar_paths(reparsed_json)
+
+
+def _round_floats(json_data, num_digits: int = 2):
+    """Round all floating-point numbers in a JSON value to facilitate comparisons.
+
+    :param json_data: Arbitrary JSON data.
+    :param num_digits: How many decimal points to round to
+
+    :returns: Copy of the input with all floats rounded
+    """
+    result = copy.deepcopy(json_data)
+    for path in json_util.scalar_paths(result):
+        value = json_util.fetch_path(result, path)
+        if isinstance(value, float):
+            json_util.replace_path(result, path, round(value, num_digits))
+        elif isinstance(value, str):
+            # Test for floating-point number encoded as a string.
+            # In Python this test is supposed to use exceptions as control flow.
+            try:
+                str_as_float = float(value)
+                json_util.replace_path(result, path, round(str_as_float, num_digits))
+            except ValueError:
+                # flow through
+                pass
+
+            # Test for JSON object or array encoded as a string
+            if value[0] in ("{", "["):
+                try:
+                    str_as_json = json.loads(value)
+                    rounded_json = _round_floats(str_as_json, num_digits)
+                    rounded_json_as_str = json.dumps(rounded_json)
+                    json_util.replace_path(result, path, rounded_json_as_str)
+                except json.JSONDecodeError:
+                    # flow through
+                    pass
+    return result
+
+
+def test_run_transformers(yaml_json_combo_with_model, gh_run):
+    """
+    Run the target model end-to-end on transformers.
+    """
+    # Prevent thrashing when running tests in parallel
+    torch.set_num_threads(2)
+
+    cfg = yaml_json_combo_with_model
+    if cfg.arguments_file:
+        with open(cfg.arguments_file, encoding="utf8") as f:
+            transform_kwargs = json.load(f)
+    else:
+        transform_kwargs = {}
+
+    # Load input request
+    with open(cfg.inputs_file, encoding="utf-8") as f:
+        model_input = ChatCompletion.model_validate_json(f.read())
+
+    # Download files from Hugging Face Hub
+    try:
+        lora_dir = intrinsics_util.obtain_lora(
+            cfg.task,
+            cfg.base_model_id,
+            cfg.repo_id,
+            revision=cfg.revision,
+            alora=cfg.is_alora,
+        )
+    except requests.exceptions.HTTPError:
+        pytest.xfail("Downloads fail on CI server because repo is private")
+
+    # Load IO config YAML for this model
+    io_yaml_path = lora_dir / "io.yaml"
+    if not os.path.exists(io_yaml_path):
+        # Use local files until proper configs are up on Hugging Face
+        io_yaml_path = cfg.yaml_file
+    rewriter = IntrinsicsRewriter(config_file=io_yaml_path)
+    result_processor = IntrinsicsResultProcessor(config_file=io_yaml_path)
+
+    # Prepare inputs for inference
+    transformed_input = rewriter.transform(model_input, **transform_kwargs)
+
+    if gh_run:
+        pytest.xfail(
+            "Skipping end-to-end model evaluation for this test case because it takes "
+            "more than 5 seconds. "
+            "Mellea's CI fails the entire run without an error message if all 500+ "
+            "tests combined take more than 15 minutes to complete. "
+            "That works out to 1.8 seconds per test. "
+            "Any test that takes more than 5 seconds needs to disable or shortcut "
+            "itself during CI, or all of Mellea's development infrastructure will "
+            "grind to a halt."
+        )
+
+    # Run the model using Hugging Face APIs
+    model, tokenizer = base_util.load_transformers_lora(lora_dir)
+    generate_input, other_input = (
+        base_util.chat_completion_request_to_transformers_inputs(
+            transformed_input.model_dump(), tokenizer, model
+        )
+    )
+    responses = base_util.generate_with_transformers(
+        tokenizer, model, generate_input, other_input
+    )
+
+    # Pull this string out of the debugger to create a fresh model outputs file.
+    responses_str = responses.model_dump_json(indent=4)
+    print(responses_str[:10000])  # Limit stdout content
+
+    # Output processing
+    transformed_responses = result_processor.transform(responses, transformed_input)
+
+    # Pull this string out of the debugger to create a fresh expected file.
+    transformed_str = transformed_responses.model_dump_json(indent=4)
+    print(transformed_str)
+
+    with open(
+        _TEST_DATA_DIR / f"test_run_transformers/{cfg.short_name}.json",
+        encoding="utf-8",
+    ) as f:
+        expected = ChatCompletionResponse.model_validate_json(f.read())
+    # expected_str = expected.model_dump_json(indent=4)
+
+    try:
+        # Correct for floating point rounding.
+        # Can't use pytest.approx() because of lists
+        transformed_json = _round_floats(
+            json_util.parse_inline_json(transformed_responses.model_dump()),
+            num_digits=2,
+        )
+        expected_json = _round_floats(
+            json_util.parse_inline_json(expected.model_dump()), num_digits=2
+        )
+        if transformed_json != expected_json:
+            # Simple comparison failed.
+            # Pull out just the content and attempt a more sophisticated comparison
+            assert len(transformed_responses.choices) == len(expected.choices)
+
+            for tc, ec in zip(
+                transformed_responses.choices, expected.choices, strict=True
+            ):
+                t_json = json.loads(tc.message.content)
+                e_json = json.loads(ec.message.content)
+
+                assert t_json == pytest.approx(e_json, abs=0.1)
+    except AssertionError as e:
+        # Known intermittent failure under Transformers 5.0
+        if cfg.short_name == "hallucination_detection":
+            pytest.xfail("Known failure due to Transformers 5.0")
+        raise e
+
+
+def test_run_ollama(yaml_json_combo_for_ollama):
+    """
+    Run the target model end-to-end with a mock Ollama backend.
+    """
+    cfg = yaml_json_combo_for_ollama
+
+    # Change base model id to Ollama's version
+    if cfg.base_model_id == "ibm-granite/granite-4.0-micro":
+        cfg.base_model_id = "granite4:micro"
+    else:
+        pytest.xfail(f"Unsupported base model: {cfg.base_model_id}")
+
+    if cfg.arguments_file:
+        with open(cfg.arguments_file, encoding="utf8") as f:
+            transform_kwargs = json.load(f)
+    else:
+        transform_kwargs = {}
+
+    # Load input request
+    with open(cfg.inputs_file, encoding="utf-8") as f:
+        model_input = ChatCompletion.model_validate_json(f.read())
+    model_input.model = cfg.task
+
+    # Download files from Hugging Face Hub
+    try:
+        lora_dir = intrinsics_util.obtain_lora(
+            cfg.task,
+            cfg.base_model_id,
+            cfg.repo_id,
+            revision=cfg.revision,
+            alora=cfg.is_alora,
+        )
+    except requests.exceptions.HTTPError:
+        pytest.xfail("Downloads fail on CI server because repo is private")
+
+    # Load IO config YAML for this model
+    io_yaml_path = lora_dir / "io.yaml"
+    if not os.path.exists(io_yaml_path):
+        # Use local files until proper configs are up on Hugging Face
+        io_yaml_path = str(cfg.yaml_file).replace("input_yaml", "input_yaml_ollama")
+    rewriter = IntrinsicsRewriter(config_file=io_yaml_path)
+    result_processor = IntrinsicsResultProcessor(config_file=io_yaml_path)
+
+    # Prepare inputs for inference
+    transformed_input = rewriter.transform(model_input, **transform_kwargs)
+    # print(transformed_input.model_dump_json(indent=4))
+
+    # Load a canned model response for the mock Ollama backend
+    canned_output_file = _CANNED_OUTPUT_MODEL_OUTPUT_DIR / f"{cfg.short_name}.json"
+    with open(canned_output_file, encoding="utf-8") as f:
+        mock_response = ChatCompletionResponse.model_validate_json(f.read())
+
+    # Run the model using a mock Ollama backend
+    client = openai.OpenAI(
+        base_url="http://localhost:55555/v1/", api_key="rag_intrinsics_1234"
+    )
+    with mock.patch.object(
+        client.chat.completions, "create", return_value=mock_response
+    ):
+        chat_completion = client.chat.completions.create(
+            **transformed_input.model_dump()
+        )
+
+    # Pull this string out of the debugger to create a fresh model outputs file.
+    responses_str = chat_completion.choices[0].model_dump_json(indent=4)
+    print("Responses:", responses_str[:100])
+
+    # Output processing
+    transformed_responses = result_processor.transform(
+        chat_completion, transformed_input
+    )
+
+    # Pull this string out of the debugger to create a fresh expected file.
+    transformed_str = transformed_responses.model_dump_json(indent=4)
+    print("Transformed:", transformed_str[:100])
+
+    with open(
+        _TEST_DATA_DIR / f"test_run_ollama/{cfg.short_name}.json", encoding="utf-8"
+    ) as f:
+        expected = ChatCompletionResponse.model_validate_json(f.read())
+    # expected_str = expected.model_dump_json(indent=4)
+
+    # Correct for floating point rounding.
+    # Can't use pytest.approx() because of lists
+    transformed_json = _round_floats(
+        json_util.parse_inline_json(transformed_responses.model_dump()), num_digits=2
+    )
+    expected_json = _round_floats(
+        json_util.parse_inline_json(expected.model_dump()), num_digits=2
+    )
+    if transformed_json != expected_json:
+        # Simple comparison failed.
+        # Pull out just the content and attempt a more sophisticated comparison
+        assert len(transformed_responses.choices) == len(expected.choices)
+
+        for tc, ec in zip(transformed_responses.choices, expected.choices, strict=True):
+            t_json = json.loads(tc.message.content)
+            e_json = json.loads(ec.message.content)
+
+            if isinstance(t_json, list):
+                # Workaround for pytest bug
+                for t_elem, e_elem in zip(t_json, e_json, strict=True):
+                    assert t_elem == pytest.approx(e_elem, abs=0.1)
+            else:
+                if t_json != pytest.approx(e_json, abs=0.1):
+                    # Workaround for pytest bug
+                    print("Assertion is about to fail.")
+                    print(f"   {t_json=}")
+                    print(f"   {e_json=}")
+                assert t_json == pytest.approx(e_json, abs=0.1)
diff --git a/test/formatters/granite/testdata/input_args/answer_relevance_rewriter.json b/test/formatters/granite/testdata/input_args/answer_relevance_rewriter.json
new file mode 100644
index 000000000..a761f76bf
--- /dev/null
+++ b/test/formatters/granite/testdata/input_args/answer_relevance_rewriter.json
@@ -0,0 +1,5 @@
+{
+    "answer_relevance_category": "Misinterpreted question",
+    "answer_relevance_analysis": "The response does not address the question about who attended the meeting. It provides a general statement about many people attending the meeting but does not specify who those people were. This is not relevant to the question asked. The response is also missing the closing tag.",
+    "correction_method": "providing answer only to the correct interpretation of the inquiry, or attempting clarification if the inquiry is ambiguous or otherwise confusing, or indicating that the desired answer is not available"
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_args/context_relevance.json b/test/formatters/granite/testdata/input_args/context_relevance.json
new file mode 100644
index 000000000..b219f3871
--- /dev/null
+++ b/test/formatters/granite/testdata/input_args/context_relevance.json
@@ -0,0 +1,3 @@
+{
+    "document_content": "Microsoft Corporation is an American multinational corporation and technology conglomerate headquartered in Redmond, Washington.[2] Founded in 1975, the company became influential in the rise of personal computers through software like Windows, and the company has since expanded to Internet services, cloud computing, video gaming and other fields. Microsoft is the largest software maker, one of the most valuable public U.S. companies,[a] and one of the most valuable brands globally."
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_args/instruction.json b/test/formatters/granite/testdata/input_args/instruction.json
new file mode 100644
index 000000000..ce9296a65
--- /dev/null
+++ b/test/formatters/granite/testdata/input_args/instruction.json
@@ -0,0 +1 @@
+{"test_kwarg": "George"}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_args/requirement_check.json b/test/formatters/granite/testdata/input_args/requirement_check.json
new file mode 100644
index 000000000..67fb262d7
--- /dev/null
+++ b/test/formatters/granite/testdata/input_args/requirement_check.json
@@ -0,0 +1 @@
+{"requirement": "The user's question is not one of the homework questions given in the provided documents."}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/answer_relevance_classifier.json b/test/formatters/granite/testdata/input_json/answer_relevance_classifier.json
new file mode 100644
index 000000000..30779c0c3
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/answer_relevance_classifier.json
@@ -0,0 +1,13 @@
+{
+  "messages": [
+    {"role": "user", "content": "Who attended the meeting?"},
+    {"role": "assistant", "content": "Many people attended the meeting."}
+  ],
+  "extra_body": {
+    "documents": [
+        {"doc_id": "1", "text": "Meeting attendees: Alice, Bob, Carol."},
+        {"doc_id": "2", "text": "Meeting time: 9:00 am to 11:00 am."}
+    ]
+  },
+  "temperature": 0.0 
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/answer_relevance_rewriter.json b/test/formatters/granite/testdata/input_json/answer_relevance_rewriter.json
new file mode 100644
index 000000000..7ab96a74e
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/answer_relevance_rewriter.json
@@ -0,0 +1,13 @@
+{
+  "messages": [
+    {"role": "user", "content": "Who attended the meeting?"},
+    {"role": "assistant", "content": "Many people attended the meeting."}
+  ],
+  "extra_body": {
+    "documents": [
+        {"doc_id": "1", "text": "Meeting attendees: Alice, Bob, Carol."},
+        {"doc_id": "2", "text": "Meeting time: 9:00 am to 11:00 am."}
+    ]
+  },
+  "temperature": 0.0 
+}
diff --git a/test/formatters/granite/testdata/input_json/answerable.json b/test/formatters/granite/testdata/input_json/answerable.json
new file mode 100644
index 000000000..8b4df2c7c
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/answerable.json
@@ -0,0 +1,20 @@
+{
+  "messages": [
+    {
+      "role": "assistant",
+      "content": "Hello there, how can I help you?"
+    },
+    {
+      "content": "What is the square root of 4?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+          "doc_id": "1",
+          "text": "The square root of 4 is 2."
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/citations.json b/test/formatters/granite/testdata/input_json/citations.json
new file mode 100644
index 000000000..99dc0e22b
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/citations.json
@@ -0,0 +1,25 @@
+{
+  "messages": [
+    {
+      "role": "user",
+      "content": "How does Murdoch's expansion in Australia compare to his expansion in New Zealand?"
+    },
+    {
+      "role": "assistant",
+      "content": "Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. I do not have information about his expansion in New Zealand after purchasing The Dominion."
+    }
+  ],
+  "temperature": 0.0,
+  "extra_body": {
+    "documents": [
+      {
+        "doc_id": "0",
+        "text": "Keith Rupert Murdoch was born on 11 March 1931 in Melbourne, Australia, the son of Sir Keith Murdoch (1885-1952) and Dame Elisabeth Murdoch (nee Greene; 1909-2012). He is of English, Irish, and Scottish ancestry. Murdoch's parents were also born in Melbourne. Keith Murdoch was a war correspondent and later a regional newspaper magnate owning two newspapers in Adelaide, South Australia, and a radio station in a faraway mining town. Following his father's death, when he was 21, Murdoch returned from Oxford to take charge of the family business News Limited, which had been established in 1923. Rupert Murdoch turned its Adelaide newspaper, The News, its main asset, into a major success. He began to direct his attention to acquisition and expansion, buying the troubled Sunday Times in Perth, Western Australia (1956) and over the next few years acquiring suburban and provincial newspapers in New South Wales, Queensland, Victoria and the Northern Territory, including the Sydney afternoon tabloid, The Daily Mirror (1960). The Economist describes Murdoch as \"inventing the modern tabloid\", as he developed a pattern for his newspapers, increasing sports and scandal coverage and adopting eye-catching headlines. Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. In January 1964, while touring New Zealand with friends in a rented Morris Minor after sailing across the Tasman, Murdoch read of a takeover bid for the Wellington paper by the British-based Canadian newspaper magnate, Lord Thomson of Fleet. On the spur of the moment, he launched a counter-bid. A four-way battle for control ensued in which the 32-year-old Murdoch was ultimately successful. Later in 1964, Murdoch launched The Australian, Australia's first national daily newspaper, which was based first in Canberra and later in Sydney. In 1972, Murdoch acquired the Sydney morning tabloid The Daily Telegraph from Australian media mogul Sir Frank Packer, who later regretted selling it to him. In 1984, Murdoch was appointed Companion of the Order of Australia (AC) for services to publishing. In 1999, Murdoch significantly expanded his music holdings in Australia by acquiring the controlling share in a leading Australian independent label, Michael Gudinski's Mushroom Records; he merged that with Festival Records, and the result was Festival Mushroom Records (FMR). Both Festival and FMR were managed by Murdoch's son James Murdoch for several years."
+      },
+      {
+        "doc_id": "1",
+        "text": "This document has nothing to do with Rupert Murdoch. This document is two sentences long."
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/context_relevance.json b/test/formatters/granite/testdata/input_json/context_relevance.json
new file mode 100644
index 000000000..f55807a33
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/context_relevance.json
@@ -0,0 +1,8 @@
+{
+  "messages": [
+    {
+      "content": "Who is the CEO of Microsoft?",
+      "role": "user"
+    }
+  ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/extra_params.json b/test/formatters/granite/testdata/input_json/extra_params.json
new file mode 100644
index 000000000..edaced496
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/extra_params.json
@@ -0,0 +1,9 @@
+{
+    "model": "original-model-name",
+    "messages": [{
+        "role": "user",
+        "content": "This request contains some extra parameters. Does it still work?"
+    }],
+    "frequency_penalty": 0.1,
+    "n": 5
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/hallucination_detection.json b/test/formatters/granite/testdata/input_json/hallucination_detection.json
new file mode 100644
index 000000000..69a3e75bc
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/hallucination_detection.json
@@ -0,0 +1,25 @@
+{
+  "messages": [
+    {
+      "role": "assistant",
+      "content": "Hello there, how can I help you?"
+    },
+    {
+      "content": "Tell me about some yellow fish.",
+      "role": "user"
+    },
+    {
+      "role": "assistant",
+      "content": "Purple bumble fish are yellow. Green bumble fish are also yellow."
+    }
+  ],
+  "temperature": 0.0,
+  "extra_body": {
+    "documents": [
+      {
+          "doc_id": "1",
+          "text": "The only type of fish that is yellow is the purple bumble fish."
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/instruction.json b/test/formatters/granite/testdata/input_json/instruction.json
new file mode 100644
index 000000000..f80a0967c
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/instruction.json
@@ -0,0 +1,14 @@
+{
+  "messages": [
+    {
+      "role": "assistant",
+      "content": "Welcome to fish detector."
+    },
+    {
+      "content": "I have a pet named George.",
+      "role": "user"
+    }
+  ],
+  "model": "dummy-model-1b",
+  "max_completion_tokens": 42
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/query_clarification.json b/test/formatters/granite/testdata/input_json/query_clarification.json
new file mode 100644
index 000000000..33360c584
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/query_clarification.json
@@ -0,0 +1,78 @@
+{
+    "messages": [
+        {
+            "role": "user",
+            "content": "the most common form of user interface used on pc's today is called a"
+        },
+        {
+            "role": "assistant",
+            "content": "The most common form of user interface used on personal computers today is the graphical user interface (GUI). It typically follows the windows, icons, menus, pointer (WIMP) paradigm, which includes visual elements like windows, icons, menus, and a pointer to interact with information stored in computers."
+        },
+        {
+            "role": "user",
+            "content": "Advantages of using command line interface"
+        },
+        {
+            "role": "assistant",
+            "content": "While I don't have specific data comparing it directly to the most common user interfaces today (which are GUIs), the command line interface (CLI) does have several advantages as described in the documents:\n1. **Efficiency**: A CLI can be faster for entering large vocabularies of commands or queries, especially when coupled with a wide range of options. This is often the case with operating system command shells.\n2. **Low resource requirements**: CLIs generally require fewer system resources to implement compared to GUIs.\n3. **Ease of accessing options**: With commands and their options given in a few characters, an experienced user might find it easier to access and remember the options in a CLI.\n4. **Automation of repetitive tasks**: CLIs often support mechanisms for storing frequently used command sequences in a disk file for re-use. This can extend to a scripting language that takes parameters and variable options.\n5. **Command history**: A command-line history can be kept, allowing review or repetition of commands.\nHowever, it's important to note that these advantages can depend on the specific use case and the user's familiarity with the CLI."
+        },
+        {
+            "role": "user",
+            "content": "Is the language that descended from Common Brittonic still spoken today, or has it become extinct?"
+        }
+    ],
+    "extra_body": {
+        "documents": [
+            {
+                "doc_id": "0",
+                "text": "Celtic Britons\nCommon Brittonic developed from the Insular branch of the Proto - Celtic language that developed in the British Isles after arriving from the continent in the 7th century BC . The language eventually began to diverge ; some linguists have grouped subsequent developments as Western and Southwestern Brittonic languages . Western Brittonic developed into Welsh in Wales and the Cumbric language in the Hen Ogledd or `` Old North '' of Britain ( modern northern England and southern Scotland ) , while the Southwestern dialect became Cornish in Cornwall and South West England and Breton in Armorica . Pictish is now generally accepted to descend from Common Brittonic , rather than being a separate Celtic language . Welsh and Breton survive today ; Cumbric and Pictish became extinct in the 12th century . Cornish had become extinct by the 19th century but has been the subject of language revitalization since the 20th century ."
+            },
+            {
+                "doc_id": "1",
+                "text": "Celtic Britons\nWales , Cornwall and Brittany continued to retain a distinct Brittonic culture , identity and language , which they have maintained to the present day . The Welsh language and Breton language remain widely spoken , and the Cornish language , once close to extinction , has experienced a revival since the 20th century . The vast majority of place names and names of geographical features in Wales , Cornwall and Brittany are Brittonic , and Brittonic family and personal names remain common ."
+            },
+            {
+                "doc_id": "2",
+                "text": "Celtic Britons\nThe Britons spoke an Insular Celtic language known as Common Brittonic . Brittonic was spoken throughout the island of Britain ( in modern terms , England , Wales and Scotland ) , as well as offshore islands such as the Isle of Man , Scilly Isles , Orkneys , Hebrides , Isle of Wight and Shetlands . According to early medieval historical tradition , such as The Dream of Macsen Wledig , the post-Roman Celtic - speakers of Armorica were colonists from Britain , resulting in the Breton language , a language related to Welsh and identical to Cornish in the early period and still used today . Thus the area today is called Brittany ( Br . Breizh , Fr . Bretagne , derived from Britannia ) ."
+            },
+            {
+                "doc_id": "3",
+                "text": "Welsh language\nWelsh evolved from Common Brittonic , the Celtic language spoken by the ancient Celtic Britons . Classified as Insular Celtic , the British language probably arrived in Britain during the Bronze Age or Iron Age and was probably spoken throughout the island south of the Firth of Forth . During the Early Middle Ages the British language began to fragment due to increased dialect differentiation , evolving into Welsh and the other Brittonic languages . It is not clear when Welsh became distinct ."
+            },
+            {
+                "doc_id": "4",
+                "text": "Celtic Britons\nThe Britons , also known as Celtic Britons or Ancient Britons , were Celtic people who inhabited Great Britain from the British Iron Age into the Middle Ages , at which point their culture and language diverged into the modern Welsh , Cornish and Bretons ( among others ) . They spoke the Common Brittonic language , the ancestor to the modern Brittonic languages ."
+            },
+            {
+                "doc_id": "5",
+                "text": "Celtic Britons\nWith the beginning of Anglo - Saxon settlement and Gaelic Scots in the 5th century , the culture and language of the Britons fragmented and much of their territory was taken over by the Anglo - Saxons and Scots Gaels . The extent to which this cultural and linguistic change was accompanied by wholesale changes in the population is still a matter of discussion . During this period some Britons migrated to mainland Europe and established significant settlements in Brittany ( now part of France ) as well as Britonia in modern Galicia , Spain . By the 11th century , remaining Brittonic Celtic - speaking populations had split into distinct groups : the Welsh in Wales , the Cornish in Cornwall , the Bretons in Brittany , and the people of the Hen Ogledd ( `` Old North '' ) in southern Scotland and northern England . Common Brittonic developed into the distinct Brittonic languages : Welsh , Cumbric , Cornish and Breton ."
+            },
+            {
+                "doc_id": "6",
+                "text": "Celtic Britons\nHowever , by the beginning of the 12th century , the Anglo - Saxons and Gaels had become the dominant cultural force in most of the formerly Brittonic ruled territory in Britain , and the language and culture of the native Britons was thereafter gradually replaced in those regions , remaining only in Wales , Cornwall , Scilly Isles and Brittany , and for a time in parts of Cumbria , Strathclyde , and eastern Galloway ."
+            },
+            {
+                "doc_id": "7",
+                "text": "Celtic Britons\nAt the same time , some Britons established themselves in what is now called Brittany . There they set up their own small kingdoms and the Breton language developed there from Brittonic Insular Celtic rather than Gaulish or Frankish . A further Brittonic colony , Britonia , was also set up at this time in Gallaecia in northwestern Spain ."
+            },
+            {
+                "doc_id": "8",
+                "text": "Celtic Britons\nThe Welsh word Brython was introduced into English usage by John Rhys in 1884 as a term unambiguously referring to the P - Celtic speakers of Great Britain , to complement Goidel ; hence the adjective Brythonic referring to the group of languages . `` Brittonic languages '' is a more recent coinage ( first attested 1923 according to the Oxford English Dictionary ) intended to refer to the ancient Britons specifically ."
+            },
+            {
+                "doc_id": "9",
+                "text": "Celtic Britons\nThroughout their existence , the territory inhabited by the Britons was composed of numerous ever - changing areas controlled by Brittonic tribes . The extent of their territory before and during the Roman period is unclear , but is generally believed to include the whole of the island of Great Britain , at least as far north as the Clyde - Forth isthmus , and if the Picts are included as Brittonic speaking people ( as they more usually are ) , the entirety of Great Britain and its offshore island groups . The territory north of the Firth of Forth was largely inhabited by the Picts ; little direct evidence has been left of the Pictish language , but place names and Pictish personal names recorded in the later Irish annals suggest it was indeed related to the Common Brittonic language rather than to the Goidelic ( Gaelic ) languages of the Irish , Scots and Manx ; indeed their Goidelic Irish name , Cruithne , is cognate with Brythonic Priteni . After the invasion of north western Britain by Gaelic speaking Celts from Ireland from the 6th century AD onwards , part of the Pictish territory was eventually absorbed into the Gaelic kingdoms of Dál Riata and Alba , which became Scotland . The Isle of Man , Shetland , Hebrides and the Orkney islands were originally inhabited by Britons also , but eventually became respectively Manx and Scots Gaelic speaking territories , while the Scilly isles and Anglesey ( Ynys Mon ) remained Brittonic and the originally Brittonic Isle of Wight was taken by Anglo - Saxons ."
+            },
+            {
+                "doc_id": "10",
+                "text": "Welsh language\nJanet Davies proposed that the origins of Welsh language were much less definite ; in The Welsh Language : A History , she proposes that Welsh may have been around even earlier than 600 AD . This is evidenced by the dropping of final syllables from Brittonic : * bardos `` poet '' became bardd , and * abona `` river '' became afon . Though both Davies and Jackson cite minor changes in syllable structure and sounds as evidence for the creation of Old Welsh , Davies suggests it may be more appropriate to refer to this derivative language as Lingua Brittanica rather than characterizing it as a new language altogether ."
+            },
+            {
+                "doc_id": "11",
+                "text": "Wales\nIn his 1707 work Archaeologia Britannica Edward Lhuyd , keeper of the Ashmolean Museum , noted the similarity between the two Celtic language families : Brythonic or P -- Celtic ( Breton , Cornish and Welsh ) ; and Goidelic or Q -- Celtic ( Irish , Manx and Scottish Gaelic ) . He argued that the Brythonic languages originated in Gaul ( France ) , and that the Goidelic languages originated in the Iberian Peninsula . Lhuyd concluded that as the languages had been of Celtic origin , the people who spoke those languages were Celts . ( According to a more recent hypothesis , also widely embraced today , Goidelic and Brythonic languages , collectively known as Insular Celtic languages , evolved together for some time separately from Continental Celtic languages such as Gaulish and Celtiberian . ) From the 18th century , the peoples of Brittany , Cornwall , Ireland , Isle of Man , Scotland and Wales were known increasingly as Celts , and they are regarded as the modern Celtic nations today ."
+            }
+        ]
+    },
+    "temperature": 0.0,
+    "max_completion_tokens": 512
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/query_rewrite.json b/test/formatters/granite/testdata/input_json/query_rewrite.json
new file mode 100644
index 000000000..0c36933d6
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/query_rewrite.json
@@ -0,0 +1,29 @@
+{
+    "messages": [
+        {
+            "role": "assistant",
+            "content": "Welcome to pet questions!"
+        },
+        {
+            "role": "user",
+            "content": "I have two pets, a dog named Rex and a cat named Lucy."
+        },
+        {
+            "role": "assistant",
+            "content": "Great, what would you like to share about them?"
+        },
+        {
+            "role": "user",
+            "content": "Rex spends a lot of time in the backyard and outdoors, and Luna is always inside."
+        },
+        {
+            "role": "assistant",
+            "content": "Sounds good! Rex must love exploring outside, while Lucy probably enjoys her cozy indoor life."
+        },
+        {
+            "role": "user",
+            "content": "But is he more likely to get fleas because of that?"
+        }
+    ],
+    "temperature": 0.0
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/requirement_check.json b/test/formatters/granite/testdata/input_json/requirement_check.json
new file mode 100644
index 000000000..37fcef83b
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/requirement_check.json
@@ -0,0 +1,28 @@
+{
+  "messages": [
+    {
+      "role": "assistant",
+      "content": "Hello there, welcome to math questions!"
+    },
+    {
+      "content": "What is the square root of 4?",
+      "role": "user"
+    },
+    {
+      "role": "assistant",
+      "content": "The square root of 4 is 2."
+    },
+    {
+      "content": "What is six times seven?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+          "doc_id": "1",
+          "text": "\nHere's a list of math problems that are on the homework assignment:\n\n1) 12+5=17\n2) 20-8=12\n3) 6*7=42\n4) 45/9=5\n5) 13*2=26\n6) 99+11=110\n7) 100-35=65\n\n"
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/simple.json b/test/formatters/granite/testdata/input_json/simple.json
new file mode 100644
index 000000000..5505eaa84
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/simple.json
@@ -0,0 +1,7 @@
+{
+    "messages": [{
+        "role": "user",
+        "content": "Hello world."
+    }],
+    "max_completion_tokens": 1
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/unanswerable.json b/test/formatters/granite/testdata/input_json/unanswerable.json
new file mode 100644
index 000000000..038010075
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/unanswerable.json
@@ -0,0 +1,24 @@
+{
+  "messages": [
+    {
+      "role": "assistant",
+      "content": "Welcome to pet questions!"
+    },
+    {
+      "content": "What is the population of Australia?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+          "doc_id": "1",
+          "text": "My dog has fleas."
+      },
+      {
+          "doc_id": "2",
+          "text": "My cat does not have fleas."
+      }
+    ]
+  }
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_json/uncertainty.json b/test/formatters/granite/testdata/input_json/uncertainty.json
new file mode 100644
index 000000000..69f817ba0
--- /dev/null
+++ b/test/formatters/granite/testdata/input_json/uncertainty.json
@@ -0,0 +1,25 @@
+{
+    "messages": [
+        {
+            "role": "assistant",
+            "content": "Welcome to pet questions!"
+        },
+        {
+            "role": "user",
+            "content": "Which of my pets have fleas?"
+        }
+    ],
+    "max_completion_tokens": 1024,
+    "extra_body": {
+        "documents": [
+            {
+                "doc_id": "1",
+                "text": "My dog has fleas."
+            },
+            {
+                "doc_id": "2",
+                "text": "My cat does not have fleas."
+            }
+        ]
+    }
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/input_yaml/answerability.yaml b/test/formatters/granite/testdata/input_yaml/answerability.yaml
new file mode 100644
index 000000000..2b72cd180
--- /dev/null
+++ b/test/formatters/granite/testdata/input_yaml/answerability.yaml
@@ -0,0 +1,25 @@
+# Model name string, or null to use whatever is provided in the chat completion request.
+model: ~
+# JSON schema of the model's output
+response_format: |
+  {
+    "type": "string",
+    "enum": ["answerable", "unanswerable"]
+  }
+transformations:
+  # Convert categorical answer to continuous value by decoding logprobs
+  - type: likelihood
+    categories_to_values:
+      "answerable": 1.0
+      "unanswerable": 0.0
+    input_path: []
+  # Convert scalar value to a record for consistency with other intrinsics
+  - type: nest
+    input_path: []
+    field_name: "answerability_likelihood"
+instruction: ~
+parameters:
+  # "unanswerable" can be 6 tokens at high temperatures
+  max_completion_tokens: 6
+# No sentence boundary detection
+sentence_boundaries: ~
diff --git a/test/formatters/granite/testdata/input_yaml/instruction.yaml b/test/formatters/granite/testdata/input_yaml/instruction.yaml
new file mode 100644
index 000000000..57575578c
--- /dev/null
+++ b/test/formatters/granite/testdata/input_yaml/instruction.yaml
@@ -0,0 +1,18 @@
+# Model name string, or null to use whatever is provided in the chat completion request
+model: ~
+# JSON schema of the model's output
+response_format: |
+  {
+    "type": "string",
+    "enum": ["fish", "not fish"]
+  }
+# No transformations
+transformations: ~
+instruction: |
+  {{ This text should be inside curly braces. }}
+  Here's the text of the last message: {last_message}
+  Does the last message talk about fish? 
+  All pets named '{test_kwarg}' are fish.
+parameters:
+  temperature: 0.75
+sentence_boundaries: ~
diff --git a/test/formatters/granite/testdata/input_yaml_ollama/answerability.yaml b/test/formatters/granite/testdata/input_yaml_ollama/answerability.yaml
new file mode 100644
index 000000000..2de4a60db
--- /dev/null
+++ b/test/formatters/granite/testdata/input_yaml_ollama/answerability.yaml
@@ -0,0 +1,25 @@
+model: null
+response_format: null
+transformations:
+- type: likelihood
+  categories_to_values:
+    answerable: 1.0
+    unanswerable: 0.0
+  input_path: []
+- type: nest
+  input_path: []
+  field_name: answerability_likelihood
+instruction: null
+parameters:
+  response_format:
+    type: json_schema
+    json_schema:
+      schema:
+        type: string
+        enum:
+        - answerable
+        - unanswerable
+      strict: true
+  max_tokens: 6
+sentence_boundaries: null
+docs_as_message: roles
diff --git a/test/formatters/granite/testdata/input_yaml_ollama/instruction.yaml b/test/formatters/granite/testdata/input_yaml_ollama/instruction.yaml
new file mode 100644
index 000000000..a276dbd09
--- /dev/null
+++ b/test/formatters/granite/testdata/input_yaml_ollama/instruction.yaml
@@ -0,0 +1,24 @@
+# Model name string, or null to use whatever is provided in the chat completion request
+model: ~
+# JSON schema of the model's output
+response_format: ~
+# No transformations
+transformations: ~
+instruction: |
+  {{ This text should be inside curly braces. }}
+  Here's the text of the last message: {last_message}
+  Does the last message talk about fish?
+  All pets named '{test_kwarg}' are fish.
+parameters:
+  temperature: 0.75
+  response_format:
+    type: json_schema
+    json_schema:
+      schema:
+        enum:
+        - fish
+        - not fish
+        type: string
+      strict: true
+sentence_boundaries: ~
+docs_as_message: roles
diff --git a/test/formatters/granite/testdata/test_canned_input/answer_relevance_classifier.json b/test/formatters/granite/testdata/test_canned_input/answer_relevance_classifier.json
new file mode 100644
index 000000000..6e1ff9602
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/answer_relevance_classifier.json
@@ -0,0 +1,67 @@
+{
+  "messages": [
+    {
+      "content": "Who attended the meeting?",
+      "role": "user"
+    },
+    {
+      "content": "Many people attended the meeting.",
+      "role": "assistant"
+    },
+    {
+      "content": "answer_relevance",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "Meeting attendees: Alice, Bob, Carol.",
+        "doc_id": "1"
+      },
+      {
+        "text": "Meeting time: 9:00 am to 11:00 am.",
+        "doc_id": "2"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "properties": {
+          "answer_relevance_analysis": {
+            "title": "Answer Relevance Analysis",
+            "type": "string"
+          },
+          "answer_relevance_category": {
+            "title": "Answer Relevance Category",
+            "type": "string",
+            "enum": [
+              "Pertinent",
+              "Pertinent with relevant extra",
+              "Excessive unnecessary information",
+              "Unduly restrictive",
+              "Too vague or generic",
+              "Contextual misalignment",
+              "Misinterpreted inquiry",
+              "No attempt"
+            ]
+          },
+          "answer_relevance_judgment": {
+            "title": "Answer Relevance Judgment",
+            "type": "boolean"
+          }
+        },
+        "required": [
+          "answer_relevance_analysis",
+          "answer_relevance_category",
+          "answer_relevance_judgment"
+        ],
+        "title": "AnswerRelevanceRawOutput",
+        "type": "object"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 1024,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/answer_relevance_rewriter.json b/test/formatters/granite/testdata/test_canned_input/answer_relevance_rewriter.json
new file mode 100644
index 000000000..b042875ea
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/answer_relevance_rewriter.json
@@ -0,0 +1,44 @@
+{
+  "messages": [
+    {
+      "content": "Who attended the meeting?",
+      "role": "user"
+    },
+    {
+      "content": "Many people attended the meeting.",
+      "role": "assistant"
+    },
+    {
+      "content": "Rewrite the response for relevance.\nThe last assistant response is considered not fully relevant to the last user inquiry due to Misinterpreted question: The response does not address the question about who attended the meeting. It provides a general statement about many people attending the meeting but does not specify who those people were. This is not relevant to the question asked. The response is also missing the closing tag.\nDecide if you agree with this assessment, then act according to the following instructions: \nIf you disagree with the assessment, provide a verbatim copy of the original response.  DO NOT attempt to correct any other perceived defects in the response. \nIf you agree with the assessment, provide an updated response that no longer fit the label Misinterpreted question, by providing answer only to the correct interpretation of the inquiry, or attempting clarification if the inquiry is ambiguous or otherwise confusing, or indicating that the desired answer is not available.  Your response should be entirely based on the provided documents and should not rely on other prior knowledge. Your response should be suitable to be directly provided to the user.  It should NOT contain meta information regarding the original response, its assessment, or this instruction.  The user does not see any of these.  Your response is the only response they will see to their inquiry, in place of the original response.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "Meeting attendees: Alice, Bob, Carol.",
+        "doc_id": "1"
+      },
+      {
+        "text": "Meeting time: 9:00 am to 11:00 am.",
+        "doc_id": "2"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "properties": {
+          "answer_relevance_rewrite": {
+            "title": "Rewritten answer",
+            "type": "string"
+          }
+        },
+        "required": [
+          "answer_relevance_rewrite"
+        ],
+        "type": "object"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 1024
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/answerability_answerable.json b/test/formatters/granite/testdata/test_canned_input/answerability_answerable.json
new file mode 100644
index 000000000..8be192f29
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/answerability_answerable.json
@@ -0,0 +1,32 @@
+{
+  "messages": [
+    {
+      "content": "Hello there, how can I help you?",
+      "role": "assistant"
+    },
+    {
+      "content": "What is the square root of 4?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "The square root of 4 is 2.",
+        "doc_id": "1"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "type": "string",
+        "enum": [
+          "answerable",
+          "unanswerable"
+        ]
+      }
+    }
+  },
+  "max_completion_tokens": 6,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/answerability_extra_params.json b/test/formatters/granite/testdata/test_canned_input/answerability_extra_params.json
new file mode 100644
index 000000000..28ad7c1aa
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/answerability_extra_params.json
@@ -0,0 +1,25 @@
+{
+  "messages": [
+    {
+      "content": "This request contains some extra parameters. Does it still work?",
+      "role": "user"
+    }
+  ],
+  "model": "original-model-name",
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "type": "string",
+        "enum": [
+          "answerable",
+          "unanswerable"
+        ]
+      }
+    }
+  },
+  "frequency_penalty": 0.1,
+  "n": 5,
+  "max_completion_tokens": 6,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/answerability_simple.json b/test/formatters/granite/testdata/test_canned_input/answerability_simple.json
new file mode 100644
index 000000000..668136f0e
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/answerability_simple.json
@@ -0,0 +1,22 @@
+{
+  "messages": [
+    {
+      "content": "Hello world.",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "type": "string",
+        "enum": [
+          "answerable",
+          "unanswerable"
+        ]
+      }
+    }
+  },
+  "max_completion_tokens": 6,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/answerability_unanswerable.json b/test/formatters/granite/testdata/test_canned_input/answerability_unanswerable.json
new file mode 100644
index 000000000..53827d100
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/answerability_unanswerable.json
@@ -0,0 +1,36 @@
+{
+  "messages": [
+    {
+      "content": "Welcome to pet questions!",
+      "role": "assistant"
+    },
+    {
+      "content": "What is the population of Australia?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "My dog has fleas.",
+        "doc_id": "1"
+      },
+      {
+        "text": "My cat does not have fleas.",
+        "doc_id": "2"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "type": "string",
+        "enum": [
+          "answerable",
+          "unanswerable"
+        ]
+      }
+    }
+  },
+  "max_completion_tokens": 6,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/citations.json b/test/formatters/granite/testdata/test_canned_input/citations.json
new file mode 100644
index 000000000..db36ad056
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/citations.json
@@ -0,0 +1,64 @@
+{
+  "messages": [
+    {
+      "content": "How does Murdoch's expansion in Australia compare to his expansion in New Zealand?",
+      "role": "user"
+    },
+    {
+      "content": "<r0> Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. <r1> I do not have information about his expansion in New Zealand after purchasing The Dominion.",
+      "role": "assistant"
+    },
+    {
+      "content": "Split the last assistant response into individual sentences.  For each sentence in the response, identify the statement IDs from the below  documents that it references. Ensure that your output includes all response  sentence IDs, and for each response sentence ID, provide the list of corresponding  referring document sentence IDs. The output must be a json structure.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "<c0> Keith Rupert Murdoch was born on 11 March 1931 in Melbourne, Australia, the son of Sir Keith Murdoch (1885-1952) and Dame Elisabeth Murdoch (nee Greene; 1909-2012). <c1> He is of English, Irish, and Scottish ancestry. <c2> Murdoch's parents were also born in Melbourne. <c3> Keith Murdoch was a war correspondent and later a regional newspaper magnate owning two newspapers in Adelaide, South Australia, and a radio station in a faraway mining town. <c4> Following his father's death, when he was 21, Murdoch returned from Oxford to take charge of the family business News Limited, which had been established in 1923. <c5> Rupert Murdoch turned its Adelaide newspaper, The News, its main asset, into a major success. <c6> He began to direct his attention to acquisition and expansion, buying the troubled Sunday Times in Perth, Western Australia (1956) and over the next few years acquiring suburban and provincial newspapers in New South Wales, Queensland, Victoria and the Northern Territory, including the Sydney afternoon tabloid, The Daily Mirror (1960). <c7> The Economist describes Murdoch as \"inventing the modern tabloid\", as he developed a pattern for his newspapers, increasing sports and scandal coverage and adopting eye-catching headlines. <c8> Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. <c9> In January 1964, while touring New Zealand with friends in a rented Morris Minor after sailing across the Tasman, Murdoch read of a takeover bid for the Wellington paper by the British-based Canadian newspaper magnate, Lord Thomson of Fleet. <c10> On the spur of the moment, he launched a counter-bid. <c11> A four-way battle for control ensued in which the 32-year-old Murdoch was ultimately successful. <c12> Later in 1964, Murdoch launched The Australian, Australia's first national daily newspaper, which was based first in Canberra and later in Sydney. <c13> In 1972, Murdoch acquired the Sydney morning tabloid The Daily Telegraph from Australian media mogul Sir Frank Packer, who later regretted selling it to him. <c14> In 1984, Murdoch was appointed Companion of the Order of Australia (AC) for services to publishing. <c15> In 1999, Murdoch significantly expanded his music holdings in Australia by acquiring the controlling share in a leading Australian independent label, Michael Gudinski's Mushroom Records; he merged that with Festival Records, and the result was Festival Mushroom Records (FMR). <c16> Both Festival and FMR were managed by Murdoch's son James Murdoch for several years.",
+        "doc_id": "0"
+      },
+      {
+        "text": "<c17> This document has nothing to do with Rupert Murdoch. <c18> This document is two sentences long.",
+        "doc_id": "1"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "$defs": {
+          "_MODEL_OUTPUT_ENTRY": {
+            "properties": {
+              "r": {
+                "minimum": 0,
+                "title": "R",
+                "type": "integer"
+              },
+              "c": {
+                "items": {
+                  "minimum": 0,
+                  "type": "integer"
+                },
+                "title": "C",
+                "type": "array"
+              }
+            },
+            "required": [
+              "r",
+              "c"
+            ],
+            "title": "_MODEL_OUTPUT_ENTRY",
+            "type": "object"
+          }
+        },
+        "items": {
+          "$ref": "#/$defs/_MODEL_OUTPUT_ENTRY"
+        },
+        "title": "_MODEL_OUTPUT",
+        "type": "array"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 4096
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/context_relevance.json b/test/formatters/granite/testdata/test_canned_input/context_relevance.json
new file mode 100644
index 000000000..eb798a7b3
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/context_relevance.json
@@ -0,0 +1,36 @@
+{
+  "messages": [
+    {
+      "content": "Who is the CEO of Microsoft?",
+      "role": "user"
+    },
+    {
+      "content": "DOCUMENT: Microsoft Corporation is an American multinational corporation and technology conglomerate headquartered in Redmond, Washington.[2] Founded in 1975, the company became influential in the rise of personal computers through software like Windows, and the company has since expanded to Internet services, cloud computing, video gaming and other fields. Microsoft is the largest software maker, one of the most valuable public U.S. companies,[a] and one of the most valuable brands globally.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "title": "ContextRelevanceOutput",
+        "type": "object",
+        "properties": {
+          "context_relevance": {
+            "type": "string",
+            "description": "Context relevancy judgment.",
+            "enum": [
+              "relevant",
+              "irrelevant",
+              "partially relevant"
+            ]
+          }
+        },
+        "required": [
+          "context_relevance"
+        ]
+      }
+    }
+  },
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/gpt_oss_answerability.json b/test/formatters/granite/testdata/test_canned_input/gpt_oss_answerability.json
new file mode 100644
index 000000000..74a24e6d2
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/gpt_oss_answerability.json
@@ -0,0 +1,30 @@
+{
+  "messages": [
+    {
+      "content": "You have access to the following documents:\n\n[Document 1]\nThe square root of 4 is 2.",
+      "role": "user"
+    },
+    {
+      "content": "Hello there, how can I help you?",
+      "role": "assistant"
+    },
+    {
+      "content": "What is the square root of 4?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "type": "string",
+        "enum": [
+          "answerable",
+          "unanswerable"
+        ]
+      }
+    }
+  },
+  "max_completion_tokens": 25,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/gpt_oss_citations.json b/test/formatters/granite/testdata/test_canned_input/gpt_oss_citations.json
new file mode 100644
index 000000000..a5cc5f361
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/gpt_oss_citations.json
@@ -0,0 +1,58 @@
+{
+  "messages": [
+    {
+      "content": "[{\"text\": \"<c0> Keith Rupert Murdoch was born on 11 March 1931 in Melbourne, Australia, the son of Sir Keith Murdoch (1885-1952) and Dame Elisabeth Murdoch (nee Greene; 1909-2012). <c1> He is of English, Irish, and Scottish ancestry. <c2> Murdoch's parents were also born in Melbourne. <c3> Keith Murdoch was a war correspondent and later a regional newspaper magnate owning two newspapers in Adelaide, South Australia, and a radio station in a faraway mining town. <c4> Following his father's death, when he was 21, Murdoch returned from Oxford to take charge of the family business News Limited, which had been established in 1923. <c5> Rupert Murdoch turned its Adelaide newspaper, The News, its main asset, into a major success. <c6> He began to direct his attention to acquisition and expansion, buying the troubled Sunday Times in Perth, Western Australia (1956) and over the next few years acquiring suburban and provincial newspapers in New South Wales, Queensland, Victoria and the Northern Territory, including the Sydney afternoon tabloid, The Daily Mirror (1960). <c7> The Economist describes Murdoch as \\\"inventing the modern tabloid\\\", as he developed a pattern for his newspapers, increasing sports and scandal coverage and adopting eye-catching headlines. <c8> Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. <c9> In January 1964, while touring New Zealand with friends in a rented Morris Minor after sailing across the Tasman, Murdoch read of a takeover bid for the Wellington paper by the British-based Canadian newspaper magnate, Lord Thomson of Fleet. <c10> On the spur of the moment, he launched a counter-bid. <c11> A four-way battle for control ensued in which the 32-year-old Murdoch was ultimately successful. <c12> Later in 1964, Murdoch launched The Australian, Australia's first national daily newspaper, which was based first in Canberra and later in Sydney. <c13> In 1972, Murdoch acquired the Sydney morning tabloid The Daily Telegraph from Australian media mogul Sir Frank Packer, who later regretted selling it to him. <c14> In 1984, Murdoch was appointed Companion of the Order of Australia (AC) for services to publishing. <c15> In 1999, Murdoch significantly expanded his music holdings in Australia by acquiring the controlling share in a leading Australian independent label, Michael Gudinski's Mushroom Records; he merged that with Festival Records, and the result was Festival Mushroom Records (FMR). <c16> Both Festival and FMR were managed by Murdoch's son James Murdoch for several years.\", \"doc_id\": \"0\"}, {\"text\": \"<c17> This document has nothing to do with Rupert Murdoch. <c18> This document is two sentences long.\", \"doc_id\": \"1\"}]",
+      "role": "user"
+    },
+    {
+      "content": "How does Murdoch's expansion in Australia compare to his expansion in New Zealand?",
+      "role": "user"
+    },
+    {
+      "content": "<r0> Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. <r1> I do not have information about his expansion in New Zealand after purchasing The Dominion.",
+      "role": "assistant"
+    },
+    {
+      "content": "Split the last assistant response into individual sentences.  For each sentence in the response, identify the statement IDs from the below  documents that it references. Ensure that your output includes all response  sentence IDs, and for each response sentence ID, provide the list of corresponding  referring document sentence IDs. The output must be a json structure.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "$defs": {
+          "_MODEL_OUTPUT_ENTRY": {
+            "properties": {
+              "r": {
+                "minimum": 0,
+                "title": "R",
+                "type": "integer"
+              },
+              "c": {
+                "items": {
+                  "minimum": 0,
+                  "type": "integer"
+                },
+                "title": "C",
+                "type": "array"
+              }
+            },
+            "required": [
+              "r",
+              "c"
+            ],
+            "title": "_MODEL_OUTPUT_ENTRY",
+            "type": "object"
+          }
+        },
+        "items": {
+          "$ref": "#/$defs/_MODEL_OUTPUT_ENTRY"
+        },
+        "title": "_MODEL_OUTPUT",
+        "type": "array"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 4096
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/gpt_oss_hallucination_detection.json b/test/formatters/granite/testdata/test_canned_input/gpt_oss_hallucination_detection.json
new file mode 100644
index 000000000..ddcff578a
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/gpt_oss_hallucination_detection.json
@@ -0,0 +1,70 @@
+{
+  "messages": [
+    {
+      "content": "[{\"text\": \"The only type of fish that is yellow is the purple bumble fish.\", \"doc_id\": \"1\"}]",
+      "role": "user"
+    },
+    {
+      "content": "Hello there, how can I help you?",
+      "role": "assistant"
+    },
+    {
+      "content": "Tell me about some yellow fish.",
+      "role": "user"
+    },
+    {
+      "content": "<i0> Purple bumble fish are yellow. <i1> Green bumble fish are also yellow.",
+      "role": "assistant"
+    },
+    {
+      "content": "Split the last assistant response into individual sentences. For each sentence in the last assistant response, identify the faithfulness by comparing with the provided documents and generate the faithfulness reasoning and faithfulness decision. Ensure that your output includes all response sentence IDs, and for each response sentence ID, provide the corresponding faithfulness reasoning and faithfulness decision. The output must be a json structure.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "$defs": {
+          "HallucinationOutputEntry": {
+            "properties": {
+              "r": {
+                "minimum": 0,
+                "title": "Sentence Num",
+                "type": "integer"
+              },
+              "f": {
+                "title": "Is Faithful",
+                "type": "string",
+                "enum": [
+                  "faithful",
+                  "partial",
+                  "unfaithful"
+                ]
+              },
+              "e": {
+                "title": "Reasoning",
+                "type": "string"
+              }
+            },
+            "required": [
+              "r",
+              "e",
+              "f"
+            ],
+            "title": "HallucinationOutputEntry",
+            "type": "object"
+          }
+        },
+        "items": {
+          "$ref": "#/$defs/HallucinationOutputEntry"
+        },
+        "title": "HallucinationOutput",
+        "type": "array"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 4096,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/gpt_oss_query_rewrite.json b/test/formatters/granite/testdata/test_canned_input/gpt_oss_query_rewrite.json
new file mode 100644
index 000000000..e4653c169
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/gpt_oss_query_rewrite.json
@@ -0,0 +1,47 @@
+{
+  "messages": [
+    {
+      "content": "Welcome to pet questions!",
+      "role": "assistant"
+    },
+    {
+      "content": "I have two pets, a dog named Rex and a cat named Lucy.",
+      "role": "user"
+    },
+    {
+      "content": "Great, what would you like to share about them?",
+      "role": "assistant"
+    },
+    {
+      "content": "Rex spends a lot of time in the backyard and outdoors, and Luna is always inside.",
+      "role": "user"
+    },
+    {
+      "content": "Sounds good! Rex must love exploring outside, while Lucy probably enjoys her cozy indoor life.",
+      "role": "assistant"
+    },
+    {
+      "content": "But is he more likely to get fleas because of that?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "properties": {
+          "rewritten_question": {
+            "title": "Rewritten Question",
+            "type": "string"
+          }
+        },
+        "required": [
+          "rewritten_question"
+        ],
+        "title": "QueryRewriteOutput",
+        "type": "object"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 1024
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/hallucination_detection.json b/test/formatters/granite/testdata/test_canned_input/hallucination_detection.json
new file mode 100644
index 000000000..13e7e3743
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/hallucination_detection.json
@@ -0,0 +1,72 @@
+{
+  "messages": [
+    {
+      "content": "Hello there, how can I help you?",
+      "role": "assistant"
+    },
+    {
+      "content": "Tell me about some yellow fish.",
+      "role": "user"
+    },
+    {
+      "content": "<i0> Purple bumble fish are yellow. <i1> Green bumble fish are also yellow.",
+      "role": "assistant"
+    },
+    {
+      "content": "Split the last assistant response into individual sentences. For each sentence in the last assistant response, identify the faithfulness by comparing with the provided documents and generate the faithfulness reasoning and faithfulness decision. Ensure that your output includes all response sentence IDs, and for each response sentence ID, provide the corresponding faithfulness reasoning and faithfulness decision. The output must be a json structure.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "The only type of fish that is yellow is the purple bumble fish.",
+        "doc_id": "1"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "$defs": {
+          "HallucinationOutputEntry": {
+            "properties": {
+              "r": {
+                "minimum": 0,
+                "title": "Sentence Num",
+                "type": "integer"
+              },
+              "f": {
+                "title": "Is Faithful",
+                "type": "string",
+                "enum": [
+                  "faithful",
+                  "partial",
+                  "unfaithful"
+                ]
+              },
+              "e": {
+                "title": "Reasoning",
+                "type": "string"
+              }
+            },
+            "required": [
+              "r",
+              "e",
+              "f"
+            ],
+            "title": "HallucinationOutputEntry",
+            "type": "object"
+          }
+        },
+        "items": {
+          "$ref": "#/$defs/HallucinationOutputEntry"
+        },
+        "title": "HallucinationOutput",
+        "type": "array"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 4096,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/instruction.json b/test/formatters/granite/testdata/test_canned_input/instruction.json
new file mode 100644
index 000000000..a83ed58a4
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/instruction.json
@@ -0,0 +1,30 @@
+{
+  "messages": [
+    {
+      "content": "Welcome to fish detector.",
+      "role": "assistant"
+    },
+    {
+      "content": "I have a pet named George.",
+      "role": "user"
+    },
+    {
+      "content": "{ This text should be inside curly braces. }\nHere's the text of the last message: I have a pet named George.\nDoes the last message talk about fish? \nAll pets named 'George' are fish.\n",
+      "role": "user"
+    }
+  ],
+  "model": "dummy-model-1b",
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "type": "string",
+        "enum": [
+          "fish",
+          "not fish"
+        ]
+      }
+    }
+  },
+  "max_completion_tokens": 42,
+  "temperature": 0.75
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/query_clarification.json b/test/formatters/granite/testdata/test_canned_input/query_clarification.json
new file mode 100644
index 000000000..b50a739a9
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/query_clarification.json
@@ -0,0 +1,93 @@
+{
+  "messages": [
+    {
+      "content": "the most common form of user interface used on pc's today is called a",
+      "role": "user"
+    },
+    {
+      "content": "The most common form of user interface used on personal computers today is the graphical user interface (GUI). It typically follows the windows, icons, menus, pointer (WIMP) paradigm, which includes visual elements like windows, icons, menus, and a pointer to interact with information stored in computers.",
+      "role": "assistant"
+    },
+    {
+      "content": "Advantages of using command line interface",
+      "role": "user"
+    },
+    {
+      "content": "While I don't have specific data comparing it directly to the most common user interfaces today (which are GUIs), the command line interface (CLI) does have several advantages as described in the documents:\n1. **Efficiency**: A CLI can be faster for entering large vocabularies of commands or queries, especially when coupled with a wide range of options. This is often the case with operating system command shells.\n2. **Low resource requirements**: CLIs generally require fewer system resources to implement compared to GUIs.\n3. **Ease of accessing options**: With commands and their options given in a few characters, an experienced user might find it easier to access and remember the options in a CLI.\n4. **Automation of repetitive tasks**: CLIs often support mechanisms for storing frequently used command sequences in a disk file for re-use. This can extend to a scripting language that takes parameters and variable options.\n5. **Command history**: A command-line history can be kept, allowing review or repetition of commands.\nHowever, it's important to note that these advantages can depend on the specific use case and the user's familiarity with the CLI.",
+      "role": "assistant"
+    },
+    {
+      "content": "Is the language that descended from Common Brittonic still spoken today, or has it become extinct?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "Celtic Britons\nCommon Brittonic developed from the Insular branch of the Proto - Celtic language that developed in the British Isles after arriving from the continent in the 7th century BC . The language eventually began to diverge ; some linguists have grouped subsequent developments as Western and Southwestern Brittonic languages . Western Brittonic developed into Welsh in Wales and the Cumbric language in the Hen Ogledd or `` Old North '' of Britain ( modern northern England and southern Scotland ) , while the Southwestern dialect became Cornish in Cornwall and South West England and Breton in Armorica . Pictish is now generally accepted to descend from Common Brittonic , rather than being a separate Celtic language . Welsh and Breton survive today ; Cumbric and Pictish became extinct in the 12th century . Cornish had become extinct by the 19th century but has been the subject of language revitalization since the 20th century .",
+        "doc_id": "0"
+      },
+      {
+        "text": "Celtic Britons\nWales , Cornwall and Brittany continued to retain a distinct Brittonic culture , identity and language , which they have maintained to the present day . The Welsh language and Breton language remain widely spoken , and the Cornish language , once close to extinction , has experienced a revival since the 20th century . The vast majority of place names and names of geographical features in Wales , Cornwall and Brittany are Brittonic , and Brittonic family and personal names remain common .",
+        "doc_id": "1"
+      },
+      {
+        "text": "Celtic Britons\nThe Britons spoke an Insular Celtic language known as Common Brittonic . Brittonic was spoken throughout the island of Britain ( in modern terms , England , Wales and Scotland ) , as well as offshore islands such as the Isle of Man , Scilly Isles , Orkneys , Hebrides , Isle of Wight and Shetlands . According to early medieval historical tradition , such as The Dream of Macsen Wledig , the post-Roman Celtic - speakers of Armorica were colonists from Britain , resulting in the Breton language , a language related to Welsh and identical to Cornish in the early period and still used today . Thus the area today is called Brittany ( Br . Breizh , Fr . Bretagne , derived from Britannia ) .",
+        "doc_id": "2"
+      },
+      {
+        "text": "Welsh language\nWelsh evolved from Common Brittonic , the Celtic language spoken by the ancient Celtic Britons . Classified as Insular Celtic , the British language probably arrived in Britain during the Bronze Age or Iron Age and was probably spoken throughout the island south of the Firth of Forth . During the Early Middle Ages the British language began to fragment due to increased dialect differentiation , evolving into Welsh and the other Brittonic languages . It is not clear when Welsh became distinct .",
+        "doc_id": "3"
+      },
+      {
+        "text": "Celtic Britons\nThe Britons , also known as Celtic Britons or Ancient Britons , were Celtic people who inhabited Great Britain from the British Iron Age into the Middle Ages , at which point their culture and language diverged into the modern Welsh , Cornish and Bretons ( among others ) . They spoke the Common Brittonic language , the ancestor to the modern Brittonic languages .",
+        "doc_id": "4"
+      },
+      {
+        "text": "Celtic Britons\nWith the beginning of Anglo - Saxon settlement and Gaelic Scots in the 5th century , the culture and language of the Britons fragmented and much of their territory was taken over by the Anglo - Saxons and Scots Gaels . The extent to which this cultural and linguistic change was accompanied by wholesale changes in the population is still a matter of discussion . During this period some Britons migrated to mainland Europe and established significant settlements in Brittany ( now part of France ) as well as Britonia in modern Galicia , Spain . By the 11th century , remaining Brittonic Celtic - speaking populations had split into distinct groups : the Welsh in Wales , the Cornish in Cornwall , the Bretons in Brittany , and the people of the Hen Ogledd ( `` Old North '' ) in southern Scotland and northern England . Common Brittonic developed into the distinct Brittonic languages : Welsh , Cumbric , Cornish and Breton .",
+        "doc_id": "5"
+      },
+      {
+        "text": "Celtic Britons\nHowever , by the beginning of the 12th century , the Anglo - Saxons and Gaels had become the dominant cultural force in most of the formerly Brittonic ruled territory in Britain , and the language and culture of the native Britons was thereafter gradually replaced in those regions , remaining only in Wales , Cornwall , Scilly Isles and Brittany , and for a time in parts of Cumbria , Strathclyde , and eastern Galloway .",
+        "doc_id": "6"
+      },
+      {
+        "text": "Celtic Britons\nAt the same time , some Britons established themselves in what is now called Brittany . There they set up their own small kingdoms and the Breton language developed there from Brittonic Insular Celtic rather than Gaulish or Frankish . A further Brittonic colony , Britonia , was also set up at this time in Gallaecia in northwestern Spain .",
+        "doc_id": "7"
+      },
+      {
+        "text": "Celtic Britons\nThe Welsh word Brython was introduced into English usage by John Rhys in 1884 as a term unambiguously referring to the P - Celtic speakers of Great Britain , to complement Goidel ; hence the adjective Brythonic referring to the group of languages . `` Brittonic languages '' is a more recent coinage ( first attested 1923 according to the Oxford English Dictionary ) intended to refer to the ancient Britons specifically .",
+        "doc_id": "8"
+      },
+      {
+        "text": "Celtic Britons\nThroughout their existence , the territory inhabited by the Britons was composed of numerous ever - changing areas controlled by Brittonic tribes . The extent of their territory before and during the Roman period is unclear , but is generally believed to include the whole of the island of Great Britain , at least as far north as the Clyde - Forth isthmus , and if the Picts are included as Brittonic speaking people ( as they more usually are ) , the entirety of Great Britain and its offshore island groups . The territory north of the Firth of Forth was largely inhabited by the Picts ; little direct evidence has been left of the Pictish language , but place names and Pictish personal names recorded in the later Irish annals suggest it was indeed related to the Common Brittonic language rather than to the Goidelic ( Gaelic ) languages of the Irish , Scots and Manx ; indeed their Goidelic Irish name , Cruithne , is cognate with Brythonic Priteni . After the invasion of north western Britain by Gaelic speaking Celts from Ireland from the 6th century AD onwards , part of the Pictish territory was eventually absorbed into the Gaelic kingdoms of Dál Riata and Alba , which became Scotland . The Isle of Man , Shetland , Hebrides and the Orkney islands were originally inhabited by Britons also , but eventually became respectively Manx and Scots Gaelic speaking territories , while the Scilly isles and Anglesey ( Ynys Mon ) remained Brittonic and the originally Brittonic Isle of Wight was taken by Anglo - Saxons .",
+        "doc_id": "9"
+      },
+      {
+        "text": "Welsh language\nJanet Davies proposed that the origins of Welsh language were much less definite ; in The Welsh Language : A History , she proposes that Welsh may have been around even earlier than 600 AD . This is evidenced by the dropping of final syllables from Brittonic : * bardos `` poet '' became bardd , and * abona `` river '' became afon . Though both Davies and Jackson cite minor changes in syllable structure and sounds as evidence for the creation of Old Welsh , Davies suggests it may be more appropriate to refer to this derivative language as Lingua Brittanica rather than characterizing it as a new language altogether .",
+        "doc_id": "10"
+      },
+      {
+        "text": "Wales\nIn his 1707 work Archaeologia Britannica Edward Lhuyd , keeper of the Ashmolean Museum , noted the similarity between the two Celtic language families : Brythonic or P -- Celtic ( Breton , Cornish and Welsh ) ; and Goidelic or Q -- Celtic ( Irish , Manx and Scottish Gaelic ) . He argued that the Brythonic languages originated in Gaul ( France ) , and that the Goidelic languages originated in the Iberian Peninsula . Lhuyd concluded that as the languages had been of Celtic origin , the people who spoke those languages were Celts . ( According to a more recent hypothesis , also widely embraced today , Goidelic and Brythonic languages , collectively known as Insular Celtic languages , evolved together for some time separately from Continental Celtic languages such as Gaulish and Celtiberian . ) From the 18th century , the peoples of Brittany , Cornwall , Ireland , Isle of Man , Scotland and Wales were known increasingly as Celts , and they are regarded as the modern Celtic nations today .",
+        "doc_id": "11"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "properties": {
+          "clarification": {
+            "title": "clarification",
+            "type": "string"
+          }
+        },
+        "required": [
+          "clarification"
+        ],
+        "title": "QueryClarificationOutput",
+        "type": "object"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 1024
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/query_rewrite.json b/test/formatters/granite/testdata/test_canned_input/query_rewrite.json
new file mode 100644
index 000000000..e4653c169
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/query_rewrite.json
@@ -0,0 +1,47 @@
+{
+  "messages": [
+    {
+      "content": "Welcome to pet questions!",
+      "role": "assistant"
+    },
+    {
+      "content": "I have two pets, a dog named Rex and a cat named Lucy.",
+      "role": "user"
+    },
+    {
+      "content": "Great, what would you like to share about them?",
+      "role": "assistant"
+    },
+    {
+      "content": "Rex spends a lot of time in the backyard and outdoors, and Luna is always inside.",
+      "role": "user"
+    },
+    {
+      "content": "Sounds good! Rex must love exploring outside, while Lucy probably enjoys her cozy indoor life.",
+      "role": "assistant"
+    },
+    {
+      "content": "But is he more likely to get fleas because of that?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "structured_outputs": {
+      "json": {
+        "properties": {
+          "rewritten_question": {
+            "title": "Rewritten Question",
+            "type": "string"
+          }
+        },
+        "required": [
+          "rewritten_question"
+        ],
+        "title": "QueryRewriteOutput",
+        "type": "object"
+      }
+    }
+  },
+  "temperature": 0.0,
+  "max_completion_tokens": 1024
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/requirement_check.json b/test/formatters/granite/testdata/test_canned_input/requirement_check.json
new file mode 100644
index 000000000..f110d3901
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/requirement_check.json
@@ -0,0 +1,40 @@
+{
+  "messages": [
+    {
+      "content": "Hello there, welcome to math questions!",
+      "role": "assistant"
+    },
+    {
+      "content": "What is the square root of 4?",
+      "role": "user"
+    },
+    {
+      "content": "The square root of 4 is 2.",
+      "role": "assistant"
+    },
+    {
+      "content": "What is six times seven?",
+      "role": "user"
+    },
+    {
+      "content": "Check if this requirement was satisfied:\n  The user's question is not one of the homework questions given in the provided documents.\n",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "\nHere's a list of math problems that are on the homework assignment:\n\n1) 12+5=17\n2) 20-8=12\n3) 6*7=42\n4) 45/9=5\n5) 13*2=26\n6) 99+11=110\n7) 100-35=65\n\n",
+        "doc_id": "1"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "type": "boolean"
+      }
+    }
+  },
+  "max_completion_tokens": 5,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_input/uncertainty.json b/test/formatters/granite/testdata/test_canned_input/uncertainty.json
new file mode 100644
index 000000000..c70eeb237
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_input/uncertainty.json
@@ -0,0 +1,44 @@
+{
+  "messages": [
+    {
+      "content": "Welcome to pet questions!",
+      "role": "assistant"
+    },
+    {
+      "content": "Which of my pets have fleas?",
+      "role": "user"
+    }
+  ],
+  "extra_body": {
+    "documents": [
+      {
+        "text": "My dog has fleas.",
+        "doc_id": "1"
+      },
+      {
+        "text": "My cat does not have fleas.",
+        "doc_id": "2"
+      }
+    ],
+    "structured_outputs": {
+      "json": {
+        "type": "integer",
+        "enum": [
+          0,
+          1,
+          2,
+          3,
+          4,
+          5,
+          6,
+          7,
+          8,
+          9
+        ]
+      }
+    }
+  },
+  "max_completion_tokens": 2,
+  "logprobs": true,
+  "top_logprobs": 10
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_classifier.json b/test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_classifier.json
new file mode 100644
index 000000000..8acd02071
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_classifier.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_analysis\": \"The inquiry asks for the attendees of the meeting. The response provides a vague and non-specific answer that does not address the inquiry.\", \"answer_relevance_category\": \"No attempt\", \"answer_relevance_likelihood\": 0.0}",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "stop"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-8c3505e704e644d9bb484d12288ed3a6",
+    "created": 1758654279,
+    "model": "answer_relevance_classifier",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 71,
+        "prompt_tokens": 186,
+        "total_tokens": 257,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_rewriter.json b/test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_rewriter.json
new file mode 100644
index 000000000..6da3f346d
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/answer_relevance_rewriter.json
@@ -0,0 +1,35 @@
+{
+  "id": "chatcmpl-21756f2d642a47cca5c7628287e267b6",
+  "choices": [
+    {
+      "finish_reason": "stop",
+      "index": 0,
+      "logprobs": null,
+      "message": {
+        "content": "{\"answer_relevance_rewrite\": \"The meeting attendees were Alice, Bob, and Carol.\"}",
+        "refusal": null,
+        "role": "assistant",
+        "annotations": null,
+        "audio": null,
+        "function_call": null,
+        "tool_calls": [],
+        "reasoning_content": null
+      },
+      "stop_reason": null
+    }
+  ],
+  "created": 1758664103,
+  "model": "answer_relevance_rewriter",
+  "object": "chat.completion",
+  "service_tier": null,
+  "system_fingerprint": null,
+  "usage": {
+    "completion_tokens": 24,
+    "prompt_tokens": 467,
+    "total_tokens": 491,
+    "completion_tokens_details": null,
+    "prompt_tokens_details": null
+  },
+  "prompt_logprobs": null,
+  "kv_transfer_params": null
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_answerable.json b/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_answerable.json
new file mode 100644
index 000000000..f1268c7bc
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_answerable.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.9991958643582448}",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "stop"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-4265b3bad97e4177b7c0dc15b0fe2611",
+    "created": 1756335561,
+    "model": "answerability",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 5,
+        "prompt_tokens": 144,
+        "total_tokens": 149,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_simple.json b/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_simple.json
new file mode 100644
index 000000000..4fc4eb5af
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_simple.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.09729512381348375}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_unanswerable.json b/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_unanswerable.json
new file mode 100644
index 000000000..7166af84e
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/answerability_unanswerable.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.00020351838117683546}",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "length"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-1679360dff7f4e358cfeb205ee11e692",
+    "created": 1756336771,
+    "model": "answerability",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 6,
+        "prompt_tokens": 151,
+        "total_tokens": 157,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/citations.json b/test/formatters/granite/testdata/test_canned_output/expected_result/citations.json
new file mode 100644
index 000000000..907d14e06
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/citations.json
@@ -0,0 +1,30 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1219, \"citation_end\": 1346, \"citation_text\": \"Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1642, \"citation_end\": 1739, \"citation_text\": \"A four-way battle for control ensued in which the 32-year-old Murdoch was ultimately successful. \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1886, \"citation_end\": 2044, \"citation_text\": \"In 1972, Murdoch acquired the Sydney morning tabloid The Daily Telegraph from Australian media mogul Sir Frank Packer, who later regretted selling it to him. \"}]",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "logprobs": null,
+            "finish_reason": "stop"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-a7d7170784e84757b5bc365cb25c57c9",
+    "created": 1757963100,
+    "model": "citations",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 32,
+        "prompt_tokens": 1124,
+        "total_tokens": 1156,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/context_relevance.json b/test/formatters/granite/testdata/test_canned_output/expected_result/context_relevance.json
new file mode 100644
index 000000000..809926400
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/context_relevance.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"context_relevance\": 0.47131842717316647}",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "stop"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-d2739b219b984788b765b807d0696697",
+    "created": 1756859041,
+    "model": "context_relevance",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 13,
+        "prompt_tokens": 252,
+        "total_tokens": 265,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_answerability.json b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_answerability.json
new file mode 100644
index 000000000..e48d6a1b7
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_answerability.json
@@ -0,0 +1,13 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.9669141293813437}",
+                "role": "assistant",
+                "tool_calls": []
+            },
+            "finish_reason": "stop"
+        }
+    ]
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_citations.json b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_citations.json
new file mode 100644
index 000000000..947d45188
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_citations.json
@@ -0,0 +1,14 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 692, \"citation_end\": 1030, \"citation_text\": \"He began to direct his attention to acquisition and expansion, buying the troubled Sunday Times in Perth, Western Australia (1956) and over the next few years acquiring suburban and provincial newspapers in New South Wales, Queensland, Victoria and the Northern Territory, including the Sydney afternoon tabloid, The Daily Mirror (1960). \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1219, \"citation_end\": 1346, \"citation_text\": \"Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. \"}]",
+                "role": "assistant",
+                "tool_calls": []
+            },
+            "logprobs": null,
+            "finish_reason": "stop"
+        }
+    ]
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_hallucination_detection.json b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_hallucination_detection.json
new file mode 100644
index 000000000..4d4ba531a
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_hallucination_detection.json
@@ -0,0 +1,13 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 31, \"response_text\": \"Purple bumble fish are yellow. \", \"faithfulness_likelihood\": 0.9395809657567371, \"explanation\": \"This sentence makes a factual claim about the color of purple bumble fish. The provided context states: 'The only type of fish that is yellow is the purple bumble fish.' This directly supports the claim in the sentence.\"}, {\"response_begin\": 31, \"response_end\": 65, \"response_text\": \"Green bumble fish are also yellow.\", \"faithfulness_likelihood\": 0.05383118091859103, \"explanation\": \"This sentence makes a factual claim about the color of green bumble fish. However, the provided context does not mention green bumble fish at all, so there is no evidence to support this claim.\"}]",
+                "role": "assistant",
+                "tool_calls": []
+            },
+            "finish_reason": "stop"
+        }
+    ]
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_query_rewrite.json b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_query_rewrite.json
new file mode 100644
index 000000000..bf3fa3d7a
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/gpt_oss_query_rewrite.json
@@ -0,0 +1,14 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"rewritten_question\": \"Is Rex more likely to get fleas because he spends a lot of time in the backyard and outdoors?\"}",
+                "role": "assistant",
+                "tool_calls": []
+            },
+            "logprobs": null,
+            "finish_reason": "stop"
+        }
+    ]
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/hallucination_detection.json b/test/formatters/granite/testdata/test_canned_output/expected_result/hallucination_detection.json
new file mode 100644
index 000000000..e81652c8e
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/hallucination_detection.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 31, \"response_text\": \"Purple bumble fish are yellow. \", \"faithfulness_likelihood\": 0.07605912763921696, \"explanation\": \"This sentence makes a factual claim about the color of purple bumble fish. However, the provided context states: 'The only type of fish that is yellow is the purple bumble fish.' This implies that only one fish, the purple bumble fish, is yellow, not 'Green bumble fish are also yellow.'\"}, {\"response_begin\": 31, \"response_end\": 65, \"response_text\": \"Green bumble fish are also yellow.\", \"faithfulness_likelihood\": 0.0003170815425561981, \"explanation\": \"This sentence makes a factual claim about the color of green bumble fish. However, there is no information in the provided context about green bumble fish. The only fish mentioned is the purple bumble fish.\"}]",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "stop"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-94996468501f4912841a858d09e2c895",
+    "created": 1758241060,
+    "model": "hallucination_detection",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 153,
+        "prompt_tokens": 275,
+        "total_tokens": 428,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/query_clarification.json b/test/formatters/granite/testdata/test_canned_output/expected_result/query_clarification.json
new file mode 100644
index 000000000..d68f82494
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/query_clarification.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"clarification\": \"There are many languages that descended from Common Brittonic, like Welsh, Breton, and Cornish. Which one are you referring to?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/query_rewrite.json b/test/formatters/granite/testdata/test_canned_output/expected_result/query_rewrite.json
new file mode 100644
index 000000000..e6f27c4f7
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/query_rewrite.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"rewritten_question\": \"Is Rex, my outdoor dog, more likely to get fleas because of his frequent time spent in the backyard and outdoors?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/requirement_check.json b/test/formatters/granite/testdata/test_canned_output/expected_result/requirement_check.json
new file mode 100644
index 000000000..6ea04fe57
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/requirement_check.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"requirement_likelihood\": 1.0}",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "stop"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-161ba1db8d6b4d05bbd5658b6d27c798",
+    "created": 1758304397,
+    "model": "requirement_check",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 2,
+        "prompt_tokens": 293,
+        "total_tokens": 295,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
diff --git a/test/formatters/granite/testdata/test_canned_output/expected_result/uncertainty.json b/test/formatters/granite/testdata/test_canned_output/expected_result/uncertainty.json
new file mode 100644
index 000000000..73795b342
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/expected_result/uncertainty.json
@@ -0,0 +1,29 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"certainty\": 0.44682381241838287}",
+                "role": "assistant",
+                "tool_calls": [],
+                "reasoning_content": null
+            },
+            "finish_reason": "length"
+        }
+    ],
+    "prompt_logprobs": null,
+    "id": "chatcmpl-969dbb95e48c4cda9c398b059e449fe0",
+    "created": 1758246309,
+    "model": "uncertainty",
+    "object": "chat.completion",
+    "service_tier": null,
+    "system_fingerprint": null,
+    "usage": {
+        "completion_tokens": 2,
+        "prompt_tokens": 166,
+        "total_tokens": 168,
+        "completion_tokens_details": null,
+        "prompt_tokens_details": null
+    },
+    "kv_transfer_params": null
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_classifier.json b/test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_classifier.json
new file mode 100644
index 000000000..4337cce74
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_classifier.json
@@ -0,0 +1,10209 @@
+{
+  "id": "chatcmpl-8c3505e704e644d9bb484d12288ed3a6",
+  "choices": [
+    {
+      "finish_reason": "stop",
+      "index": 0,
+      "logprobs": {
+        "content": [
+          {
+            "token": "{",
+            "bytes": [
+              123
+            ],
+            "logprob": -0.00036840804386883974,
+            "top_logprobs": [
+              {
+                "token": "{",
+                "bytes": [
+                  123
+                ],
+                "logprob": -0.00036840804386883974
+              },
+              {
+                "token": "{\"",
+                "bytes": [
+                  123,
+                  34
+                ],
+                "logprob": -7.906618595123291
+              },
+              {
+                "token": "<|end_of_text|>",
+                "bytes": [
+                  60,
+                  124,
+                  101,
+                  110,
+                  100,
+                  95,
+                  111,
+                  102,
+                  95,
+                  116,
+                  101,
+                  120,
+                  116,
+                  124,
+                  62
+                ],
+                "logprob": -9999.0
+              },
+              {
+                "token": "<fim_prefix>",
+                "bytes": [
+                  60,
+                  102,
+                  105,
+                  109,
+                  95,
+                  112,
+                  114,
+                  101,
+                  102,
+                  105,
+                  120,
+                  62
+                ],
+                "logprob": -9999.0
+              },
+              {
+                "token": "<gh_stars>",
+                "bytes": [
+                  60,
+                  103,
+                  104,
+                  95,
+                  115,
+                  116,
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+                  114,
+                  115,
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_rewriter.json b/test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_rewriter.json
new file mode 100644
index 000000000..6da3f346d
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/answer_relevance_rewriter.json
@@ -0,0 +1,35 @@
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/answerability_answerable.json b/test/formatters/granite/testdata/test_canned_output/model_output/answerability_answerable.json
new file mode 100644
index 000000000..911657faf
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/answerability_answerable.json
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/answerability_simple.json b/test/formatters/granite/testdata/test_canned_output/model_output/answerability_simple.json
new file mode 100644
index 000000000..33f468c70
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/answerability_simple.json
@@ -0,0 +1,448 @@
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/answerability_unanswerable.json b/test/formatters/granite/testdata/test_canned_output/model_output/answerability_unanswerable.json
new file mode 100644
index 000000000..b4f875392
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/answerability_unanswerable.json
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/citations.json b/test/formatters/granite/testdata/test_canned_output/model_output/citations.json
new file mode 100644
index 000000000..eb5a18c98
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/citations.json
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index 000000000..ba9c68912
--- /dev/null
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_answerability.json b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_answerability.json
new file mode 100644
index 000000000..a4afa7b1d
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_answerability.json
@@ -0,0 +1,873 @@
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+}
diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_citations.json b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_citations.json
new file mode 100644
index 000000000..219fb0b1c
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_citations.json
@@ -0,0 +1,14 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"r\": 0, \"c\": [6, 8]}, {\"r\": 1, \"c\": []}]",
+                "role": "assistant",
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+            },
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+            "finish_reason": "stop"
+        }
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+}
diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_hallucination_detection.json b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_hallucination_detection.json
new file mode 100644
index 000000000..3b64025e5
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_hallucination_detection.json
@@ -0,0 +1,15637 @@
+{
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_query_rewrite.json b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_query_rewrite.json
new file mode 100644
index 000000000..ece6dcbad
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/gpt_oss_query_rewrite.json
@@ -0,0 +1,14 @@
+{
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+                "content": "{\n    \"rewritten_question\": \"Is Rex more likely to get fleas because he spends a lot of time in the backyard and outdoors?\"\n}",
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+}
diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/hallucination_detection.json b/test/formatters/granite/testdata/test_canned_output/model_output/hallucination_detection.json
new file mode 100644
index 000000000..c79564ed5
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/hallucination_detection.json
@@ -0,0 +1,18975 @@
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new file mode 100644
index 000000000..00c9e77d1
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/query_clarification.json
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/query_rewrite.json b/test/formatters/granite/testdata/test_canned_output/model_output/query_rewrite.json
new file mode 100644
index 000000000..b99a9b536
--- /dev/null
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/query_rewrite.json
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diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/uncertainty.json b/test/formatters/granite/testdata/test_canned_output/model_output/uncertainty.json
new file mode 100644
index 000000000..119c7f62f
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+  "kv_transfer_params": null
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_reparse_json/bare_string.json b/test/formatters/granite/testdata/test_reparse_json/bare_string.json
new file mode 100644
index 000000000..e4041baff
--- /dev/null
+++ b/test/formatters/granite/testdata/test_reparse_json/bare_string.json
@@ -0,0 +1 @@
+"answerability"
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/answer_relevance_classifier.json b/test/formatters/granite/testdata/test_run_ollama/answer_relevance_classifier.json
new file mode 100644
index 000000000..f1ff8636e
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/answer_relevance_classifier.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_analysis\": \"The inquiry asks for the attendees of the meeting. The response provides a vague and non-specific answer that does not address the inquiry.\", \"answer_relevance_category\": \"No attempt\", \"answer_relevance_likelihood\": 0.0}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/answer_relevance_rewriter.json b/test/formatters/granite/testdata/test_run_ollama/answer_relevance_rewriter.json
new file mode 100644
index 000000000..2fc6cd22c
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/answer_relevance_rewriter.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_rewrite\": \"The meeting attendees were Alice, Bob, and Carol.\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/answerability_answerable.json b/test/formatters/granite/testdata/test_run_ollama/answerability_answerable.json
new file mode 100644
index 000000000..05c12c5a5
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/answerability_answerable.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.9999992680208205}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/answerability_simple.json b/test/formatters/granite/testdata/test_run_ollama/answerability_simple.json
new file mode 100644
index 000000000..55c45b2e2
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/answerability_simple.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 1.3925180028111327e-07}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/answerability_unanswerable.json b/test/formatters/granite/testdata/test_run_ollama/answerability_unanswerable.json
new file mode 100644
index 000000000..ed199bdb9
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/answerability_unanswerable.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 6.54404283394165e-06}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/citations.json b/test/formatters/granite/testdata/test_run_ollama/citations.json
new file mode 100644
index 000000000..57625bf95
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/citations.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1219, \"citation_end\": 1346, \"citation_text\": \"Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1642, \"citation_end\": 1739, \"citation_text\": \"A four-way battle for control ensued in which the 32-year-old Murdoch was ultimately successful. \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1886, \"citation_end\": 2044, \"citation_text\": \"In 1972, Murdoch acquired the Sydney morning tabloid The Daily Telegraph from Australian media mogul Sir Frank Packer, who later regretted selling it to him. \"}]",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/context_relevance.json b/test/formatters/granite/testdata/test_run_ollama/context_relevance.json
new file mode 100644
index 000000000..fc56ff9fa
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/context_relevance.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"context_relevance\": 0.47131842717316647}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/hallucination_detection.json b/test/formatters/granite/testdata/test_run_ollama/hallucination_detection.json
new file mode 100644
index 000000000..fb16f37c5
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/hallucination_detection.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 31, \"response_text\": \"Purple bumble fish are yellow. \", \"faithfulness_likelihood\": 0.07605912763921696, \"explanation\": \"This sentence makes a factual claim about the color of purple bumble fish. However, the provided context states: 'The only type of fish that is yellow is the purple bumble fish.' This implies that only one fish, the purple bumble fish, is yellow, not 'Green bumble fish are also yellow.'\"}, {\"response_begin\": 31, \"response_end\": 65, \"response_text\": \"Green bumble fish are also yellow.\", \"faithfulness_likelihood\": 0.0003170815425561981, \"explanation\": \"This sentence makes a factual claim about the color of green bumble fish. However, there is no information in the provided context about green bumble fish. The only fish mentioned is the purple bumble fish.\"}]",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/query_clarification.json b/test/formatters/granite/testdata/test_run_ollama/query_clarification.json
new file mode 100644
index 000000000..d68f82494
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/query_clarification.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"clarification\": \"There are many languages that descended from Common Brittonic, like Welsh, Breton, and Cornish. Which one are you referring to?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_ollama/query_rewrite.json b/test/formatters/granite/testdata/test_run_ollama/query_rewrite.json
new file mode 100644
index 000000000..e6f27c4f7
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_ollama/query_rewrite.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"rewritten_question\": \"Is Rex, my outdoor dog, more likely to get fleas because of his frequent time spent in the backyard and outdoors?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier.json b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier.json
new file mode 100644
index 000000000..c2ab52524
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_analysis\": \"The inquiry asks who attended the meeting. The response provides a vague and general answer without specifying the attendees. This does not address the user's question.\", \"answer_relevance_category\": \"No attempt\", \"answer_relevance_likelihood\": 0.0}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier_alora.json b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier_alora.json
new file mode 100644
index 000000000..fe4563c0c
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_classifier_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_analysis\": \"The inquiry asks who attended the meeting. The response provides a general statement about many people attending the meeting, which is not specific to the meeting attended by Alice, Bob, and Carol. This is not a direct or complete answer to the user's question.\", \"answer_relevance_category\": \"Misinterpreted inquiry\", \"answer_relevance_likelihood\": 0.0}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter.json b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter.json
new file mode 100644
index 000000000..2fc6cd22c
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_rewrite\": \"The meeting attendees were Alice, Bob, and Carol.\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter_alora.json b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter_alora.json
new file mode 100644
index 000000000..72de8b6d0
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answer_relevance_rewriter_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answer_relevance_rewrite\": \"Alice, Bob, and Carol attended the meeting.\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answerability_answerable.json b/test/formatters/granite/testdata/test_run_transformers/answerability_answerable.json
new file mode 100644
index 000000000..05c12c5a5
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answerability_answerable.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.9999992680208205}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answerability_answerable_alora.json b/test/formatters/granite/testdata/test_run_transformers/answerability_answerable_alora.json
new file mode 100644
index 000000000..c1d2ce2ff
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answerability_answerable_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.9999161720668155}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answerability_simple.json b/test/formatters/granite/testdata/test_run_transformers/answerability_simple.json
new file mode 100644
index 000000000..08489de22
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answerability_simple.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 0.1}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable.json b/test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable.json
new file mode 100644
index 000000000..ed199bdb9
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 6.54404283394165e-06}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable_alora.json b/test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable_alora.json
new file mode 100644
index 000000000..2daa91346
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/answerability_unanswerable_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"answerability_likelihood\": 2.989399008017302e-11}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/citations.json b/test/formatters/granite/testdata/test_run_transformers/citations.json
new file mode 100644
index 000000000..67dc2bb51
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/citations.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 692, \"citation_end\": 1030, \"citation_text\": \"He began to direct his attention to acquisition and expansion, buying the troubled Sunday Times in Perth, Western Australia (1956) and over the next few years acquiring suburban and provincial newspapers in New South Wales, Queensland, Victoria and the Northern Territory, including the Sydney afternoon tabloid, The Daily Mirror (1960). \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1219, \"citation_end\": 1346, \"citation_text\": \"Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. \"}]",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/citations_alora.json b/test/formatters/granite/testdata/test_run_transformers/citations_alora.json
new file mode 100644
index 000000000..67dc2bb51
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/citations_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 692, \"citation_end\": 1030, \"citation_text\": \"He began to direct his attention to acquisition and expansion, buying the troubled Sunday Times in Perth, Western Australia (1956) and over the next few years acquiring suburban and provincial newspapers in New South Wales, Queensland, Victoria and the Northern Territory, including the Sydney afternoon tabloid, The Daily Mirror (1960). \"}, {\"response_begin\": 0, \"response_end\": 91, \"response_text\": \"Murdoch expanded in Australia and New Zealand by acquiring and expanding local newspapers. \", \"citation_doc_id\": \"0\", \"citation_begin\": 1219, \"citation_end\": 1346, \"citation_text\": \"Murdoch's first foray outside Australia involved the purchase of a controlling interest in the New Zealand daily The Dominion. \"}]",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/context_relevance.json b/test/formatters/granite/testdata/test_run_transformers/context_relevance.json
new file mode 100644
index 000000000..1821c2ea7
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/context_relevance.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"context_relevance\": 4.221254864539322e-06}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/context_relevance_alora.json b/test/formatters/granite/testdata/test_run_transformers/context_relevance_alora.json
new file mode 100644
index 000000000..5ea87043a
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/context_relevance_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"context_relevance\": 1.1277377087120176e-06}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/hallucination_detection.json b/test/formatters/granite/testdata/test_run_transformers/hallucination_detection.json
new file mode 100644
index 000000000..6448ad68a
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/hallucination_detection.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "[{\"response_begin\": 0, \"response_end\": 31, \"response_text\": \"Purple bumble fish are yellow. \", \"faithfulness_likelihood\": 0.5825082205614557, \"explanation\": \"This sentence makes a factual claim about the color of purple bumble fish. The document states 'The only type of fish that is yellow is the purple bumble fish.' This directly supports the claim in the sentence.\"}, {\"response_begin\": 31, \"response_end\": 65, \"response_text\": \"Green bumble fish are also yellow.\", \"faithfulness_likelihood\": 0.09613224257737445, \"explanation\": \"This sentence makes a factual claim about the color of green bumble fish. However, the document does not mention green bumble fish at all. Therefore, this claim cannot be verified from the provided context.\"}]",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/query_clarification.json b/test/formatters/granite/testdata/test_run_transformers/query_clarification.json
new file mode 100644
index 000000000..d68f82494
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/query_clarification.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"clarification\": \"There are many languages that descended from Common Brittonic, like Welsh, Breton, and Cornish. Which one are you referring to?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/query_rewrite.json b/test/formatters/granite/testdata/test_run_transformers/query_rewrite.json
new file mode 100644
index 000000000..d77f03091
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/query_rewrite.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"rewritten_question\": \"Is Rex more likely to get fleas because he spends a lot of time outdoors?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/requirement_check.json b/test/formatters/granite/testdata/test_run_transformers/requirement_check.json
new file mode 100644
index 000000000..1012eaf73
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/requirement_check.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"requirement_likelihood\": 0.0}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/requirement_check_alora.json b/test/formatters/granite/testdata/test_run_transformers/requirement_check_alora.json
new file mode 100644
index 000000000..1012eaf73
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/requirement_check_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"requirement_likelihood\": 0.0}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/rewrite.json b/test/formatters/granite/testdata/test_run_transformers/rewrite.json
new file mode 100644
index 000000000..bcb67e758
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/rewrite.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"rewritten_question\": \"Is Rex, the dog, more likely to get fleas because he spends a lot of time outdoors?\"}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/uncertainty.json b/test/formatters/granite/testdata/test_run_transformers/uncertainty.json
new file mode 100644
index 000000000..64c938c84
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/uncertainty.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"certainty\": 0.3830646019813367}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/formatters/granite/testdata/test_run_transformers/uncertainty_alora.json b/test/formatters/granite/testdata/test_run_transformers/uncertainty_alora.json
new file mode 100644
index 000000000..9a7742fd8
--- /dev/null
+++ b/test/formatters/granite/testdata/test_run_transformers/uncertainty_alora.json
@@ -0,0 +1,11 @@
+{
+    "choices": [
+        {
+            "index": 0,
+            "message": {
+                "content": "{\"certainty\": 0.5784631010929226}",
+                "role": "assistant"
+            }
+        }
+    ]
+}
\ No newline at end of file
diff --git a/test/plugins/test_payloads.py b/test/plugins/test_payloads.py
index 162763694..a6c06beef 100644
--- a/test/plugins/test_payloads.py
+++ b/test/plugins/test_payloads.py
@@ -7,6 +7,7 @@
 from mellea.plugins.hooks.component import ComponentPreExecutePayload
 from mellea.plugins.hooks.generation import GenerationPreCallPayload
 from mellea.plugins.hooks.session import SessionPreInitPayload
+from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
 
 
 class TestMelleaBasePayload:
@@ -94,6 +95,7 @@ def test_modified_field_readable_after_model_copy(self):
         assert modified.action.name == "replaced"
         assert payload.action.name == "original"
 
+    @pytest.mark.skipif(not _HAS_PLUGIN_FRAMEWORK, reason="cpex not installed")
     def test_writable_fields_in_policies(self):
         """Writable fields should be listed in their hook policies."""
         from mellea.plugins.policies import MELLEA_HOOK_PAYLOAD_POLICIES
diff --git a/test/plugins/test_policies.py b/test/plugins/test_policies.py
index ad78d7fce..f950a7da7 100644
--- a/test/plugins/test_policies.py
+++ b/test/plugins/test_policies.py
@@ -1,5 +1,9 @@
 """Tests for hook payload policies."""
 
+import pytest
+
+pytest.importorskip("cpex", reason="cpex not installed")
+
 from mellea.plugins.policies import MELLEA_HOOK_PAYLOAD_POLICIES
 
 
diff --git a/test/stdlib/components/docs/test_document.py b/test/stdlib/components/docs/test_document.py
new file mode 100644
index 000000000..bdef4a670
--- /dev/null
+++ b/test/stdlib/components/docs/test_document.py
@@ -0,0 +1,19 @@
+from mellea.stdlib.components.docs.document import Document
+
+
+def test_document_parts_returns_empty_list():
+    doc = Document("some text", title="Test", doc_id="1")
+    assert doc.parts() == [], "Document.parts() should return an empty list"
+
+
+def test_document_format_for_llm():
+    doc = Document("hello world", title="Greeting", doc_id="abc")
+    result = doc.format_for_llm()
+    assert "abc" in result
+    assert "Greeting" in result
+    assert "hello world" in result
+
+
+def test_document_format_for_llm_no_title():
+    doc = Document("just text")
+    assert doc.format_for_llm() == "just text"
diff --git a/test/stdlib/requirements/test_reqlib_python.py b/test/stdlib/requirements/test_reqlib_python.py
index 859427168..4c5654381 100644
--- a/test/stdlib/requirements/test_reqlib_python.py
+++ b/test/stdlib/requirements/test_reqlib_python.py
@@ -3,7 +3,7 @@
 import pytest
 
 try:
-    import llm_sandbox
+    import llm_sandbox  # type: ignore[import-not-found]
 
     try:
         with llm_sandbox.SandboxSession(
diff --git a/test/stdlib/test_spans.py b/test/stdlib/test_spans.py
index 06c9f8a2f..82e63c547 100644
--- a/test/stdlib/test_spans.py
+++ b/test/stdlib/test_spans.py
@@ -8,7 +8,12 @@
 from mellea.stdlib.session import MelleaSession, start_session
 
 # Module-level markers for all tests using Granite 4 hybrid micro (3B model)
-pytestmark = [pytest.mark.huggingface, pytest.mark.requires_gpu, pytest.mark.llm]
+pytestmark = [
+    pytest.mark.huggingface,
+    pytest.mark.requires_gpu,
+    pytest.mark.requires_heavy_ram,
+    pytest.mark.llm,
+]
 
 
 # We edit the context type in the async tests below. Don't change the scope here.
diff --git a/test/telemetry/test_logging.py b/test/telemetry/test_logging.py
new file mode 100644
index 000000000..595def8c0
--- /dev/null
+++ b/test/telemetry/test_logging.py
@@ -0,0 +1,196 @@
+"""Unit tests for OpenTelemetry logging instrumentation."""
+
+import os
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+# Check if OpenTelemetry is available
+try:
+    from opentelemetry._logs import set_logger_provider
+    from opentelemetry.exporter.otlp.proto.grpc._log_exporter import OTLPLogExporter
+    from opentelemetry.sdk._logs import LoggerProvider, LoggingHandler
+
+    OTEL_AVAILABLE = True
+except ImportError:
+    OTEL_AVAILABLE = False
+
+pytestmark = pytest.mark.skipif(
+    not OTEL_AVAILABLE, reason="OpenTelemetry not installed"
+)
+
+
+def _reset_logging_modules():
+    """Helper to reset logging state and reload modules."""
+    import importlib
+    import logging
+
+    import mellea.core.utils
+    import mellea.telemetry.logging
+    from mellea.core.utils import FancyLogger
+
+    # Clear any existing handlers from previous tests
+    fancy_logger = logging.getLogger("fancy_logger")
+    fancy_logger.handlers.clear()
+
+    # Reset FancyLogger singleton
+    FancyLogger.logger = None
+
+    # Force reload of logging module and core.utils to pick up env vars
+    importlib.reload(mellea.telemetry.logging)
+    importlib.reload(mellea.core.utils)
+
+
+@pytest.fixture
+def clean_logging_env(monkeypatch):
+    """Clean logging environment variables before each test."""
+    monkeypatch.delenv("MELLEA_LOGS_OTLP", raising=False)
+    monkeypatch.delenv("OTEL_EXPORTER_OTLP_ENDPOINT", raising=False)
+    monkeypatch.delenv("OTEL_EXPORTER_OTLP_LOGS_ENDPOINT", raising=False)
+    monkeypatch.delenv("OTEL_SERVICE_NAME", raising=False)
+
+    _reset_logging_modules()
+    yield
+    _reset_logging_modules()
+
+
+@pytest.fixture
+def enable_otlp_logging(monkeypatch):
+    """Enable OTLP logging with endpoint for tests."""
+    monkeypatch.setenv("MELLEA_LOGS_OTLP", "true")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
+
+    _reset_logging_modules()
+    yield
+    _reset_logging_modules()
+
+
+# Configuration Tests
+
+
+def test_otlp_logging_disabled_by_default(clean_logging_env):
+    """Test that OTLP logging is disabled by default."""
+    from mellea.telemetry.logging import get_otlp_log_handler
+
+    handler = get_otlp_log_handler()
+    assert handler is None
+
+
+def test_otlp_logging_enabled_with_env_var(enable_otlp_logging):
+    """Test that OTLP logging can be enabled via environment variable."""
+    from mellea.telemetry.logging import get_otlp_log_handler
+
+    handler = get_otlp_log_handler()
+    assert handler is not None
+    assert isinstance(handler, LoggingHandler)  # type: ignore
+
+
+def test_otlp_logging_enabled_without_endpoint_warns(monkeypatch, clean_logging_env):
+    """Test that enabling OTLP without endpoint produces warning."""
+    monkeypatch.setenv("MELLEA_LOGS_OTLP", "true")
+    # No endpoint set
+
+    import importlib
+
+    import mellea.telemetry.logging
+
+    with pytest.warns(UserWarning, match="no endpoint is configured"):
+        importlib.reload(mellea.telemetry.logging)
+
+    from mellea.telemetry.logging import get_otlp_log_handler
+
+    handler = get_otlp_log_handler()
+    assert handler is None
+
+
+def test_otlp_logging_with_various_truthy_values(monkeypatch, clean_logging_env):
+    """Test that various truthy values enable OTLP logging."""
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
+
+    for value in ["true", "True", "TRUE", "1", "yes", "Yes", "YES"]:
+        monkeypatch.setenv("MELLEA_LOGS_OTLP", value)
+
+        import importlib
+
+        import mellea.telemetry.logging
+
+        importlib.reload(mellea.telemetry.logging)
+
+        from mellea.telemetry.logging import get_otlp_log_handler
+
+        handler = get_otlp_log_handler()
+        assert handler is not None, f"Failed for value: {value}"
+
+
+def test_logs_specific_endpoint_takes_precedence(monkeypatch, clean_logging_env):
+    """Test that OTEL_EXPORTER_OTLP_LOGS_ENDPOINT takes precedence."""
+    monkeypatch.setenv("MELLEA_LOGS_OTLP", "true")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_LOGS_ENDPOINT", "http://localhost:4318/logs")
+
+    import importlib
+
+    import mellea.telemetry.logging
+
+    importlib.reload(mellea.telemetry.logging)
+
+    # Verify the logs-specific endpoint is used
+    assert mellea.telemetry.logging._OTLP_LOGS_ENDPOINT == "http://localhost:4318/logs"
+
+
+# Handler Integration Tests
+
+
+def test_get_otlp_log_handler_can_be_added_to_logger(enable_otlp_logging):
+    """Test that OTLP handler can be added to a Python logger."""
+    import logging
+
+    from mellea.telemetry.logging import get_otlp_log_handler
+
+    logger = logging.getLogger("test_logger")
+    handler = get_otlp_log_handler()
+
+    assert handler is not None
+    logger.addHandler(handler)
+
+    # Verify handler was added
+    assert handler in logger.handlers
+
+    # Clean up
+    logger.removeHandler(handler)
+
+
+# FancyLogger Integration Tests
+
+
+def test_fancy_logger_includes_otlp_handler_when_enabled(enable_otlp_logging):
+    """Test that FancyLogger includes OTLP handler when enabled."""
+    from mellea.core.utils import FancyLogger
+
+    logger = FancyLogger.get_logger()
+
+    # Check that logger has handlers
+    assert len(logger.handlers) > 0
+
+    # Check if any handler is a LoggingHandler (OTLP)
+    has_otlp_handler = any(isinstance(h, LoggingHandler) for h in logger.handlers)  # type: ignore
+    assert has_otlp_handler, "FancyLogger should have OTLP handler when enabled"
+
+
+def test_fancy_logger_works_without_otlp(clean_logging_env):
+    """Test that FancyLogger works normally when OTLP is disabled."""
+    from mellea.core.utils import FancyLogger
+
+    logger = FancyLogger.get_logger()
+
+    # Should still have REST and console handlers
+    assert len(logger.handlers) >= 2
+
+    # Should not have OTLP handler
+    has_otlp_handler = any(isinstance(h, LoggingHandler) for h in logger.handlers)  # type: ignore
+    assert not has_otlp_handler, (
+        "FancyLogger should not have OTLP handler when disabled"
+    )
+
+    # Verify logger can log messages (backward compatibility)
+    logger.info("Test message")
diff --git a/test/telemetry/test_metrics.py b/test/telemetry/test_metrics.py
index eda655482..811438008 100644
--- a/test/telemetry/test_metrics.py
+++ b/test/telemetry/test_metrics.py
@@ -1,7 +1,6 @@
 """Unit tests for OpenTelemetry metrics instrumentation."""
 
-import os
-from unittest.mock import MagicMock, patch
+from unittest.mock import patch
 
 import pytest
 
@@ -25,7 +24,11 @@ def clean_metrics_env(monkeypatch):
     """Clean metrics environment variables before each test."""
     monkeypatch.delenv("MELLEA_METRICS_ENABLED", raising=False)
     monkeypatch.delenv("MELLEA_METRICS_CONSOLE", raising=False)
+    monkeypatch.delenv("MELLEA_METRICS_OTLP", raising=False)
     monkeypatch.delenv("OTEL_EXPORTER_OTLP_ENDPOINT", raising=False)
+    monkeypatch.delenv("OTEL_EXPORTER_OTLP_METRICS_ENDPOINT", raising=False)
+    monkeypatch.delenv("MELLEA_METRICS_PROMETHEUS", raising=False)
+    monkeypatch.delenv("OTEL_METRIC_EXPORT_INTERVAL", raising=False)
     monkeypatch.delenv("OTEL_SERVICE_NAME", raising=False)
     # Force reload of metrics module to pick up env vars
     import importlib
@@ -376,6 +379,181 @@ def test_console_exporter_disabled_by_default(enable_metrics):
     assert _METRICS_CONSOLE is False
 
 
+# OTLP Exporter Tests
+
+
+def test_otlp_explicit_enablement(monkeypatch):
+    """Test that OTLP exporter requires explicit enablement via MELLEA_METRICS_OTLP."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("MELLEA_METRICS_OTLP", "true")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _METRICS_OTLP
+
+    assert _METRICS_OTLP is True
+
+
+def test_metrics_specific_endpoint_precedence(monkeypatch):
+    """Test that OTEL_EXPORTER_OTLP_METRICS_ENDPOINT takes precedence over general endpoint."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_METRICS_ENDPOINT", "http://localhost:4318")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _OTLP_METRICS_ENDPOINT
+
+    assert _OTLP_METRICS_ENDPOINT == "http://localhost:4318"
+
+
+def test_custom_export_interval(monkeypatch):
+    """Test that custom export interval is configured correctly."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("OTEL_METRIC_EXPORT_INTERVAL", "30000")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _EXPORT_INTERVAL_MILLIS
+
+    assert _EXPORT_INTERVAL_MILLIS == 30000
+
+
+def test_invalid_export_interval_warning(monkeypatch):
+    """Test that invalid export interval produces warning and uses default."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("OTEL_METRIC_EXPORT_INTERVAL", "invalid")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    with pytest.warns(UserWarning, match="Invalid OTEL_METRIC_EXPORT_INTERVAL"):
+        importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _EXPORT_INTERVAL_MILLIS
+
+    assert _EXPORT_INTERVAL_MILLIS == 60000
+
+
+def test_otlp_enabled_without_endpoint_warning(monkeypatch):
+    """Test that enabling OTLP without endpoint produces helpful warning."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("MELLEA_METRICS_OTLP", "true")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    with pytest.warns(
+        UserWarning,
+        match="OTLP metrics exporter is enabled.*but no endpoint is configured",
+    ):
+        importlib.reload(mellea.telemetry.metrics)
+
+
+# Prometheus Exporter Tests
+
+
+def test_prometheus_exporter_enabled(monkeypatch):
+    """Test that Prometheus metric reader initializes when enabled."""
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("MELLEA_METRICS_PROMETHEUS", "true")
+
+    importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _METRICS_PROMETHEUS
+
+    assert _METRICS_PROMETHEUS is True
+
+
+def test_prometheus_exporter_import_error_warning(monkeypatch):
+    """Test that missing Prometheus package produces helpful warning."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("MELLEA_METRICS_PROMETHEUS", "true")
+
+    import importlib
+    import sys
+
+    import mellea.telemetry.metrics
+
+    # Temporarily remove the module to simulate ImportError
+    original_modules = sys.modules.copy()
+    sys.modules["opentelemetry.exporter.prometheus"] = None  # type: ignore
+
+    try:
+        with pytest.warns(
+            UserWarning,
+            match="Prometheus exporter is enabled.*but opentelemetry-exporter-prometheus is not installed",
+        ):
+            importlib.reload(mellea.telemetry.metrics)
+    finally:
+        # Restore modules
+        sys.modules.clear()
+        sys.modules.update(original_modules)
+
+
+def test_prometheus_and_otlp_exporters_together(monkeypatch):
+    """Test that Prometheus and OTLP exporters can run simultaneously."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("MELLEA_METRICS_PROMETHEUS", "true")
+    monkeypatch.setenv("MELLEA_METRICS_OTLP", "true")
+    monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://localhost:4317")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _METRICS_OTLP, _METRICS_PROMETHEUS
+
+    assert _METRICS_PROMETHEUS is True
+    assert _METRICS_OTLP is True
+
+
+def test_prometheus_exporter_disabled_by_default(enable_metrics):
+    """Test that Prometheus exporter is disabled by default."""
+    from mellea.telemetry.metrics import _METRICS_PROMETHEUS
+
+    assert _METRICS_PROMETHEUS is False
+
+
+def test_prometheus_exporter_with_console_exporter(monkeypatch):
+    """Test that Prometheus works alongside console exporter."""
+    monkeypatch.setenv("MELLEA_METRICS_ENABLED", "true")
+    monkeypatch.setenv("MELLEA_METRICS_PROMETHEUS", "true")
+    monkeypatch.setenv("MELLEA_METRICS_CONSOLE", "true")
+
+    import importlib
+
+    import mellea.telemetry.metrics
+
+    importlib.reload(mellea.telemetry.metrics)
+
+    from mellea.telemetry.metrics import _METRICS_CONSOLE, _METRICS_PROMETHEUS
+
+    assert _METRICS_PROMETHEUS is True
+    assert _METRICS_CONSOLE is True
+
+
 # Token Counter Tests
 
 
diff --git a/test/telemetry/test_metrics_backend.py b/test/telemetry/test_metrics_backend.py
index 9bba4503a..5b2702bd1 100644
--- a/test/telemetry/test_metrics_backend.py
+++ b/test/telemetry/test_metrics_backend.py
@@ -51,6 +51,33 @@ def enable_metrics(monkeypatch):
     importlib.reload(mellea.telemetry.metrics)
 
 
+@pytest.fixture(scope="module")
+def hf_metrics_backend(gh_run):
+    """Shared HuggingFace backend for telemetry metrics tests.
+
+    Uses module scope to load the model once and reuse it across all tests,
+    preventing memory exhaustion from loading multiple model instances.
+    """
+    if gh_run:
+        pytest.skip("Skipping HuggingFace backend creation in CI")
+
+    from mellea.backends.cache import SimpleLRUCache
+    from mellea.backends.huggingface import LocalHFBackend
+
+    backend = LocalHFBackend(
+        model_id=IBM_GRANITE_4_HYBRID_MICRO.hf_model_name,  # type: ignore
+        cache=SimpleLRUCache(5),
+    )
+
+    yield backend
+
+    # Cleanup
+    import gc
+
+    del backend
+    gc.collect()
+
+
 def get_metric_value(metrics_data, metric_name, attributes=None):
     """Helper to extract metric value from metrics data.
 
@@ -297,15 +324,12 @@ async def test_litellm_token_metrics_integration(
 @pytest.mark.asyncio
 @pytest.mark.llm
 @pytest.mark.huggingface
+@pytest.mark.requires_heavy_ram
 @pytest.mark.parametrize("stream", [False, True], ids=["non-streaming", "streaming"])
 async def test_huggingface_token_metrics_integration(
-    enable_metrics, metric_reader, stream, gh_run
+    enable_metrics, metric_reader, stream, hf_metrics_backend
 ):
     """Test that HuggingFace backend records token metrics correctly."""
-    if gh_run:
-        pytest.skip("Skipping in CI - requires model download")
-
-    from mellea.backends.huggingface import LocalHFBackend
     from mellea.backends.model_options import ModelOption
     from mellea.telemetry import metrics as metrics_module
 
@@ -315,17 +339,11 @@ async def test_huggingface_token_metrics_integration(
     metrics_module._input_token_counter = None
     metrics_module._output_token_counter = None
 
-    from mellea.backends.cache import SimpleLRUCache
-
-    backend = LocalHFBackend(
-        model_id=IBM_GRANITE_4_HYBRID_MICRO.hf_model_name,  # type: ignore
-        cache=SimpleLRUCache(5),
-    )
     ctx = SimpleContext()
     ctx = ctx.add(Message(role="user", content="Say 'hello' and nothing else"))
 
     model_options = {ModelOption.STREAM: True} if stream else {}
-    mot, _ = await backend.generate_from_context(
+    mot, _ = await hf_metrics_backend.generate_from_context(
         Message(role="assistant", content=""), ctx, model_options=model_options
     )
 
diff --git a/uv.lock b/uv.lock
index a49707a11..e64504fb0 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,24 +2,33 @@ version = 1
 revision = 3
 requires-python = ">=3.11"
 resolution-markers = [
-    "python_full_version >= '3.14'",
-    "python_full_version == '3.13.*'",
-    "python_full_version == '3.12.*'",
-    "python_full_version < '3.12'",
+    "python_full_version >= '3.14' and python_full_version < '4'",
+    "python_full_version >= '4' and sys_platform == 'darwin'",
+    "python_full_version == '3.13.*' and sys_platform == 'darwin'",
+    "python_full_version >= '4' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '4' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "(python_full_version == '3.13.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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     { name = "opentelemetry-exporter-otlp" },
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 ]
 
 [[package]]

From af20fbe6502cf42372a46e89f065d11fd3603899 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 04:59:42 +0000
Subject: [PATCH 25/38] fix: name

---
 cli/decompose/pipeline.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index a7df2fad7..d38179256 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -123,7 +123,7 @@ def decompose(
         m_session, task_prompt, enforce_same_words=False
     ).parse()
 
-    constraint_validation_strategies: dict[str, Literal["code", "llm"]] = {
+    constraint_val_strategies: dict[str, Literal["code", "llm"]] = {
         cons_key: validation_decision.generate(m_session, cons_key).parse() or "llm"
         for cons_key in task_prompt_constraints
     }

From cb6c85adf57a87434d071cfb3df8e92b08b96174 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 05:06:31 +0000
Subject: [PATCH 26/38] fix: constraint dict var

---
 cli/decompose/pipeline.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index d38179256..c4cb47e97 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -130,9 +130,9 @@ def decompose(
 
     constraint_val_data: dict[str, ConstraintValData] = {}
 
-    for cons_key in constraint_val_strategy:
+    for cons_key in constraint_val_strategies:
         constraint_val_data[cons_key] = {
-            "val_strategy": constraint_val_strategy[cons_key]["val_strategy"],
+            "val_strategy": constraint_val_strategies[cons_key]["val_strategy"],
             "val_fn": None,
         }
         if constraint_val_data[cons_key]["val_strategy"] == "code":

From f3e45da8ed14c3ff6565ca6fe29042f24fddc029 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 05:28:12 +0000
Subject: [PATCH 27/38] change: decision type

---
 cli/decompose/decompose.py | 5 +++--
 cli/decompose/pipeline.py  | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 60ced3c9c..ef671eadb 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -311,7 +311,8 @@ def run(
 
         decomp_dir = out_dir / out_name
         val_fn_dir = decomp_dir / "validations"
-        val_fn_dir.mkdir(parents=True)
+        decomp_dir.mkdir(parents=True, exist_ok=False)
+        val_fn_dir.mkdir(exist_ok=True)
 
         (val_fn_dir / "__init__.py").touch()
 
@@ -337,4 +338,4 @@ def run(
         if decomp_dir.exists() and decomp_dir.is_dir():
             shutil.rmtree(decomp_dir)
 
-        raise Exception
+        raise
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index c4cb47e97..5d5a05146 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -132,7 +132,7 @@ def decompose(
 
     for cons_key in constraint_val_strategies:
         constraint_val_data[cons_key] = {
-            "val_strategy": constraint_val_strategies[cons_key]["val_strategy"],
+            "val_strategy": constraint_val_strategies[cons_key],
             "val_fn": None,
         }
         if constraint_val_data[cons_key]["val_strategy"] == "code":

From 45c547872a1d5e7a7a6577d36ffc9a6162007fa1 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 06:00:14 +0000
Subject: [PATCH 28/38] Revert "feat: hook system and plugin support for Mellea
 (#582)"

This reverts commit dd142291b13810021823b179b6c10d581477957f.
---
 docs/dev/hook_system.md                       | 1769 -----------------
 docs/dev/hook_system_implementation_plan.md   | 1230 ------------
 docs/docs/core-concept/plugins.mdx            |  970 ---------
 docs/docs/docs.json                           |    7 +-
 docs/examples/plugins/__init__.py             |    0
 docs/examples/plugins/class_plugin.py         |  128 --
 docs/examples/plugins/execution_modes.py      |  130 --
 docs/examples/plugins/payload_modification.py |  106 -
 docs/examples/plugins/plugin_scoped.py        |  191 --
 .../plugins/plugin_set_composition.py         |  155 --
 docs/examples/plugins/quickstart.py           |   38 -
 docs/examples/plugins/session_scoped.py       |  109 -
 docs/examples/plugins/standalone_hooks.py     |   97 -
 docs/examples/plugins/testing_plugins.py      |  133 --
 docs/examples/plugins/tool_hooks.py           |  459 -----
 docs/examples/tools/interpreter_example.py    |    6 +-
 mellea/backends/dummy.py                      |    2 +-
 mellea/backends/huggingface.py                |    8 +-
 mellea/backends/litellm.py                    |    3 +-
 mellea/backends/ollama.py                     |    3 +-
 mellea/backends/openai.py                     |    3 +-
 mellea/backends/vllm.py                       |    3 +-
 mellea/backends/watsonx.py                    |    3 +-
 mellea/core/backend.py                        |   56 +-
 mellea/core/base.py                           |   10 +-
 mellea/formatters/granite/retrievers/util.py  |    2 +-
 mellea/plugins/__init__.py                    |   29 -
 mellea/plugins/context.py                     |   36 -
 mellea/plugins/decorators.py                  |   49 -
 mellea/plugins/hooks/__init__.py              |   48 -
 mellea/plugins/hooks/component.py             |   82 -
 mellea/plugins/hooks/generation.py            |   48 -
 mellea/plugins/hooks/sampling.py              |  101 -
 mellea/plugins/hooks/session.py               |   64 -
 mellea/plugins/hooks/tool.py                  |   39 -
 mellea/plugins/hooks/validation.py            |   43 -
 mellea/plugins/pluginset.py                   |   93 -
 mellea/plugins/types.py                       |  151 --
 mellea/stdlib/components/instruction.py       |    1 -
 mellea/stdlib/components/mify.py              |   11 +-
 mellea/stdlib/functional.py                   |  365 +---
 mellea/stdlib/sampling/base.py                |   98 +-
 mellea/stdlib/session.py                      |   72 +-
 pyproject.toml                                |    8 +-
 test/conftest.py                              |    5 -
 .../test_astream_exception_propagation.py     |    3 -
 test/decompose/test_decompose.py              |   30 +
 test/plugins/__init__.py                      |    0
 test/plugins/_acceptance_sets.py              |   53 -
 test/plugins/test_all_payloads.py             |  973 ---------
 test/plugins/test_blocking.py                 |  273 ---
 test/plugins/test_build_global_context.py     |   68 -
 test/plugins/test_decorators.py               |   86 -
 test/plugins/test_execution_modes.py          |  644 ------
 test/plugins/test_hook_call_sites.py          |  962 ---------
 test/plugins/test_manager.py                  |  146 --
 test/plugins/test_mellea_plugin.py            |  173 --
 test/plugins/test_pluginset.py                |   55 -
 test/plugins/test_policy_enforcement.py       |  329 ---
 test/plugins/test_priority_ordering.py        |  483 -----
 test/plugins/test_scoping.py                  |  616 ------
 test/plugins/test_tool_hooks_redaction.py     |  235 ---
 test/plugins/test_unregister.py               |  223 ---
 uv.lock                                       |  996 +++++-----
 64 files changed, 680 insertions(+), 12632 deletions(-)
 delete mode 100644 docs/dev/hook_system.md
 delete mode 100644 docs/dev/hook_system_implementation_plan.md
 delete mode 100644 docs/docs/core-concept/plugins.mdx
 delete mode 100644 docs/examples/plugins/__init__.py
 delete mode 100644 docs/examples/plugins/class_plugin.py
 delete mode 100644 docs/examples/plugins/execution_modes.py
 delete mode 100644 docs/examples/plugins/payload_modification.py
 delete mode 100644 docs/examples/plugins/plugin_scoped.py
 delete mode 100644 docs/examples/plugins/plugin_set_composition.py
 delete mode 100644 docs/examples/plugins/quickstart.py
 delete mode 100644 docs/examples/plugins/session_scoped.py
 delete mode 100644 docs/examples/plugins/standalone_hooks.py
 delete mode 100644 docs/examples/plugins/testing_plugins.py
 delete mode 100644 docs/examples/plugins/tool_hooks.py
 delete mode 100644 mellea/plugins/__init__.py
 delete mode 100644 mellea/plugins/context.py
 delete mode 100644 mellea/plugins/decorators.py
 delete mode 100644 mellea/plugins/hooks/__init__.py
 delete mode 100644 mellea/plugins/hooks/component.py
 delete mode 100644 mellea/plugins/hooks/generation.py
 delete mode 100644 mellea/plugins/hooks/sampling.py
 delete mode 100644 mellea/plugins/hooks/session.py
 delete mode 100644 mellea/plugins/hooks/tool.py
 delete mode 100644 mellea/plugins/hooks/validation.py
 delete mode 100644 mellea/plugins/pluginset.py
 delete mode 100644 mellea/plugins/types.py
 delete mode 100644 test/plugins/__init__.py
 delete mode 100644 test/plugins/_acceptance_sets.py
 delete mode 100644 test/plugins/test_all_payloads.py
 delete mode 100644 test/plugins/test_blocking.py
 delete mode 100644 test/plugins/test_build_global_context.py
 delete mode 100644 test/plugins/test_decorators.py
 delete mode 100644 test/plugins/test_execution_modes.py
 delete mode 100644 test/plugins/test_hook_call_sites.py
 delete mode 100644 test/plugins/test_manager.py
 delete mode 100644 test/plugins/test_mellea_plugin.py
 delete mode 100644 test/plugins/test_pluginset.py
 delete mode 100644 test/plugins/test_policy_enforcement.py
 delete mode 100644 test/plugins/test_priority_ordering.py
 delete mode 100644 test/plugins/test_scoping.py
 delete mode 100644 test/plugins/test_tool_hooks_redaction.py
 delete mode 100644 test/plugins/test_unregister.py

diff --git a/docs/dev/hook_system.md b/docs/dev/hook_system.md
deleted file mode 100644
index dcaa7d5f0..000000000
--- a/docs/dev/hook_system.md
+++ /dev/null
@@ -1,1769 +0,0 @@
-# Mellea Plugin Hook System Design Document
-
-Mellea's hook system provides extension points for deployed generative AI applications that need policy enforcement, observability, and customization without modifying core library code. Hooks enable plugins to register and respond to events throughout the framework's execution lifecycle, from session initialization through generation, validation, and cleanup.
-
-## 1. Overview
-
-### Design Principles
-
-1. **Consistent Interface**: All hooks follow the same async pattern with payload and context parameters
-2. **Composable**: Multiple plugins can register for the same hook, executing in priority order
-3. **Fail-safe**: Hook failures can be handled gracefully without breaking core execution
-4. **Minimal Intrusion**: Plugins are opt-in; default Mellea behavior remains unchanged without plugins. Plugins work identically whether invoked through a session (`m.instruct(...)`) or via the functional API (`instruct(backend, context, ...)`)
-5. **Architecturally Aligned**: Hook categories reflect Mellea's true abstraction boundaries — Session lifecycle, Component lifecycle, and the (Backend, Context) generation pipeline
-6. **Code-First**: Plugins are defined and composed in Python. The `@hook` decorator and `Plugin` base class are the primary registration mechanisms; YAML configuration is a secondary option for deployment-time overrides
-7. **Functions-First**: The simplest plugin is a plain async function decorated with `@hook`. Class-based plugins (via the `Plugin` base class) exist for stateful, multi-hook scenarios but are not required
-
-### Hook Method Signature
-
-All hooks follow this consistent async pattern:
-
-```python
-# Standalone function hook (primary)
-@hook("hook_name", mode=PluginMode.SEQUENTIAL, priority=50)
-async def my_hook(
-    payload: PluginPayload,
-    context: PluginContext
-) -> PluginResult | None
-
-# Class-based method hook
-class MyPlugin(Plugin, name="my-plugin"):
-    @hook("hook_name")
-    async def my_hook(
-        self,
-        payload: PluginPayload,
-        context: PluginContext
-    ) -> PluginResult | None
-```
-
-- **`payload`**: Immutable (frozen), strongly-typed data specific to the hook point. Plugins use `model_copy(update={...})` to propose modifications
-- **`context`**: Read-only shared context with session metadata and utilities
-- **`mode`**: `PluginMode.SEQUENTIAL` (default), `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, or `PluginMode.FIRE_AND_FORGET` — controls execution behavior (see Execution Mode below)
-- **`priority`**: Lower numbers execute first (default: 50)
-- **Returns**: A `PluginResult` with continuation flag, modified payload, and violation/explanation — or `None` to continue unchanged
-
-### Concurrency Model
-
-Hooks use Python's `async`/`await` cooperative multitasking. Because Python's event loop only switches execution at `await` points, hook code won't be interrupted mid-logic. This means:
-
-- **Sequential when awaited**: Calling `await hook(...)` keeps control flow deterministic — the hook completes before the caller continues.
-- **Race conditions only at `await` points**: Shared state is safe to read and write between `await` calls within a single hook. Races only arise if multiple hooks modify the same shared state and are dispatched concurrently.
-- **No preemptive interruption**: Unlike threads, a hook handler runs uninterrupted until it yields control via `await`.
-
-### Execution Mode
-
-Hooks support five execution modes, configurable per-registration via the `mode` parameter on the `@hook` decorator. Each mode defines a unique combination of two orthogonal capabilities — **blocking** (halting the pipeline) and **modifying** (changing the payload):
-
-| Mode | Can block | Can modify | Execution | Use case |
-|------|:---------:|:----------:|-----------|----------|
-| **`PluginMode.SEQUENTIAL`** (default) | Yes | Yes | Serial, chained | Policy enforcement + transformation |
-| **`PluginMode.TRANSFORM`** | No | Yes | Serial, chained | Data transformation (PII redaction, prompt rewriting) |
-| **`PluginMode.AUDIT`** | No | No | Serial | Observation, logging, metrics |
-| **`PluginMode.CONCURRENT`** | Yes | No | Parallel | Independent policy gates |
-| **`PluginMode.FIRE_AND_FORGET`** | No | No | Background | Telemetry, async side effects |
-
-Execution order: **SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET**.
-
-- **SEQUENTIAL** hooks are awaited inline, in priority order. Each receives the chained payload from prior hooks. Can halt the pipeline via `PluginResult(continue_processing=False)` and modify writable fields.
-- **TRANSFORM** hooks are awaited inline, in priority order, after all SEQUENTIAL hooks. Each receives the chained payload. Can modify writable fields but **cannot** halt the pipeline — blocking results are suppressed with a warning.
-- **AUDIT** hooks are awaited inline, in priority order, after TRANSFORM. Observe-only: payload modifications are **discarded** and violations are logged but do not block. Use for monitoring and gradual policy rollout.
-- **CONCURRENT** hooks are dispatched in parallel after AUDIT. Can halt the pipeline (fail-fast on first blocking result) but payload modifications are **discarded** to avoid non-deterministic last-writer-wins races.
-- **FIRE_AND_FORGET** hooks are dispatched via `asyncio.create_task()` after all other phases. They receive a copy-on-write snapshot of the payload. Cannot modify payloads or block execution. Any exceptions are logged but do not propagate.
-
-> **Note**: All five modes are exposed via Mellea's own `PluginMode` enum, which maps to CPEX's internal `PluginMode`. The additional `disabled` mode remains available in CPEX's enum and YAML configuration for deployment-time control, but is not exposed in Mellea's `PluginMode`. It is a deployment concern, not a definition-time concern.
-
-### Plugin Framework
-
-The hook system is backed by a lightweight plugin framework built as a Mellea dependency (not a separate user-facing package). This framework:
-
-- Provides the `@hook` decorator for registering standalone async functions as hook handlers
-- Provides the `Plugin` base class for multi-hook plugins with automatic context-manager support and metadata via `__init_subclass__` keyword arguments
-- Exposes `PluginSet` for grouping related hooks/plugins into composable, reusable units
-- Exposes `register()` for global plugin registration and `block()` as a convenience for returning blocking `PluginResult`s
-- Implements a plugin manager that loads, registers, and governs the execution of plugins
-- Enforces per-hook-type payload policies via `HookPayloadPolicy`, accepting only writable-field changes from plugins
-
-The public API surface:
-
-```python
-from mellea.plugins import Plugin, hook, block, PluginSet, register
-```
-
-### Global vs Session-Scoped Plugins
-
-Plugins can be registered at two scopes:
-
-- **Global**: Registered via `register()` at module or application startup. Global plugins fire for every hook invocation — both session-based (`m.instruct(...)`) and functional (`instruct(backend, context, ...)`).
-- **Session-scoped**: Passed via the `plugins` parameter to `start_session()`. Session-scoped plugins fire only for hook invocations within that session.
-
-Both scopes coexist. When a hook fires within a session, both global plugins and that session's plugins execute, ordered by priority. When a hook fires via the functional API outside a session, only global plugins execute.
-
-**Implementation**: A single `PluginManager` instance manages all plugins. Plugins are tagged with an optional `session_id`. At dispatch time, the manager filters: global plugins (no session tag) always run; session-tagged plugins run only when the dispatch context matches their session ID.
-
-**Functional API support**: The functional API (`instruct(backend, context, ...)`) does not require a session. Hooks still fire at the same execution points. If global plugins are registered, they execute. If no plugins are registered, hooks are no-ops with zero overhead.
-
-### With-Block-Scoped Context Managers
-
-In addition to global and session-scoped registration, plugins can be activated for a specific block of code using the context manager protocol. Plugins are registered on entry and deregistered on exit, even if the block raises an exception.
-
-This is useful for:
-- Feature flags: enable a plugin only during a specific operation
-- Testing: activate a mock or spy plugin around a single call
-- Middleware injection: wrap a third-party call with additional hooks without polluting global state
-- Composing scopes: stack independent scopes that each clean up after themselves
-
-Three equivalent forms are supported:
-
-**1. `plugin_scope(*items)` factory**
-
-Accepts standalone `@hook` functions, `Plugin` subclass instances, `PluginSet`s, or any mix:
-
-```python
-from mellea.plugins import plugin_scope
-
-with plugin_scope(log_request, log_response):
-    result = m.instruct("Name the planets.")
-# log_request and log_response are deregistered here
-
-with plugin_scope(pii_redactor, observability_set, enforce_budget):
-    result = m.instruct("Summarize the customer record.")
-```
-
-**2. `Plugin` subclass instance as context manager**
-
-Any instance of a `Plugin` subclass can be entered directly as a context manager:
-
-```python
-guard = ContentGuard()  # ContentGuard inherits from Plugin
-with guard:
-    result = m.instruct("What is the boiling point of water?")
-# ContentGuard hooks are deregistered here
-```
-
-**3. `PluginSet` as context manager**
-
-A `PluginSet` can be entered directly, activating all of its contained hooks and plugins:
-
-```python
-with observability:  # observability is a PluginSet
-    result = m.instruct("What is the capital of France?")
-# All observability hooks are deregistered here
-```
-
-**Async variants**
-
-All three forms also support `async with` for use in async code:
-
-```python
-async with plugin_scope(log_request, ContentGuard()):
-    result = await m.ainstruct("Describe the solar system.")
-
-async with observability:
-    result = await m.ainstruct("What is the capital of France?")
-```
-
-**Nesting and mixing**
-
-Scopes stack cleanly, i.e., each exit deregisters only its own plugins. Nesting is independent of form:
-
-```python
-with plugin_scope(log_request):          # outer scope
-    with ContentGuard() as guard:        # inner scope: Plugin subclass instance
-        result = m.instruct("...")       # log_request + ContentGuard active
-    result = m.instruct("...")           # only log_request active
-# no plugins active
-```
-
-**Cleanup guarantee**
-
-Plugins are always deregistered on scope exit, even if the block raises an exception. There is no resource leak on error.
-
-**Re-entrant restriction**
-
-The same instance cannot be active in two overlapping scopes simultaneously. Attempting to re-enter an already-active instance raises `RuntimeError`. To run the same plugin logic in parallel or in nested scopes, create separate instances:
-
-```python
-guard1 = ContentGuard()
-guard2 = ContentGuard()  # separate instance
-
-with guard1:
-    with guard2:  # OK — different instances
-        ...
-
-with guard1:
-    with guard1:  # RuntimeError — same instance already active
-        ...
-```
-
-**Implementation note**: With-block scopes use the same `session_id` tagging mechanism as session-scoped plugins. Each `with` block gets a unique UUID scope ID; the plugin manager filters plugins by scope ID at dispatch time and deregisters them by scope ID on exit. This means with-block plugins coexist with global and session-scoped plugins: all three layers execute together, ordered by priority.
-
-### Hook Invocation Responsibilities
-
-Hooks are called from Mellea's base classes (`Component.aact()`, `Backend.generate()`, `SamplingStrategy.run()`, etc.). This means hook invocation is a framework-level concern, and authors of new backends, sampling strategies, or components do not need to manually insert hook calls.
-
-The calling convention is a single async call at each hook site:
-
-```python
-result = await invoke_hook(hook_type, payload, backend=backend)
-```
-
-The caller (the base class method) is responsible for both invoking the hook and processing the result. Processing means checking the result for one of three possible outcomes:
-
-1. **Continue with original payload**: — `PluginResult(continue_processing=True)` with no `modified_payload`. The caller proceeds unchanged.
-2. **Continue with modified payload**: — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's payload policy, accepting only changes to writable fields and discarding unauthorized modifications. The caller uses the policy-filtered payload in place of the original.
-3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. The caller raises or returns early with structured error information.
-
-Hooks cannot redirect control flow, jump to arbitrary code, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type.
-
-### Payload Design Principles
-
-Hook payloads follow six design principles:
-
-1. **Strongly typed** — Each hook has a dedicated payload dataclass (not a generic dict). This enables IDE autocompletion, static analysis, and clear documentation of what each hook receives.
-2. **Sufficient (maximize-at-boundary)** — Each payload includes everything available at that point in time. Post-hooks include the pre-hook fields plus results. This avoids forcing plugins to maintain their own state across pre/post pairs.
-3. **Frozen (immutable)** — Payloads are frozen Pydantic models (`model_config = ConfigDict(frozen=True)`). Plugins cannot mutate payload attributes in place. To propose changes, plugins must call `payload.model_copy(update={...})` and return the copy via `PluginResult.modified_payload`. This ensures every modification is explicit and flows through the policy system.
-4. **Policy-controlled** — Each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns, accepting only changes to writable fields and silently discarding unauthorized modifications. This separates "what the plugin can observe" from "what the plugin can change" — and enforces it at the framework level. See [Hook Payload Policies](#hook-payload-policies) for the full policy table.
-5. **Serializable** — Payloads should be serializable for external (MCP-based) plugins that run out-of-process. All payload fields use types that can round-trip through JSON or similar formats.
-6. **Versioned** — Payload schemas carry a `payload_version` so plugins can detect incompatible changes at registration time rather than at runtime.
-7. **Isolation** — Each plugin receives a copy-on-write (CoW) snapshot of the payload. Mutable containers (dicts, lists) are wrapped so mutations in one plugin do not affect others. Plugins should not cache payloads beyond the hook invocation — payload fields reference live framework objects (`Context`, `Component`, `MelleaSession`) whose lifecycle is managed by the framework.
-
-## 2. Common Payload Fields
-
-All hook payloads inherit these base fields:
-
-```python
-class BasePayload(PluginPayload):
-    """Frozen base — all payloads are immutable by design."""
-    model_config = ConfigDict(frozen=True, arbitrary_types_allowed=True)
-
-    session_id: str | None = None      # Session identifier (None for functional API calls)
-    request_id: str = ""               # Reserved for future use (e.g., request tracing)
-    timestamp: datetime                # When the event fired
-    hook: str                          # Name of the hook (e.g., "generation_pre_call")
-    user_metadata: dict[str, Any]      # Custom metadata carried by user code
-```
-
-> **Note on `session_id` and `request_id`**: These fields exist on the base payload schema but are **not** automatically stamped by the framework at dispatch time. `session_id` is available when the caller sets it on the payload directly. `request_id` is reserved for future request-tracing support.
-
-## 3. Hook Summary Table
-
-| Priority | Hook Point | Category | Domain | Status | Description |
-|:--:|------------|----------|--------|:--------:|-------------|
-|3| `session_pre_init` | Session Lifecycle | Session | ✔️ | Before session initialization |
-|3| `session_post_init` | Session Lifecycle | Session | ✔️ | After session is fully initialized |
-|3| `session_reset` | Session Lifecycle | Session | ✔️ | When session context is reset |
-|3| `session_cleanup` | Session Lifecycle | Session | ✔️ | Before session cleanup/teardown |
-|7| `component_pre_create` | Component Lifecycle | Component / (Backend, Context) |  | Before component creation |
-|7| `component_post_create` | Component Lifecycle | Component / (Backend, Context) |  | After component created, before execution |
-|7| `component_pre_execute` | Component Lifecycle | Component / (Backend, Context) | ✔️ | Before component execution via `aact()` |
-|7| `component_post_success` | Component Lifecycle | Component / (Backend, Context) | ✔️ | After successful component execution |
-|7| `component_post_error` | Component Lifecycle | Component / (Backend, Context) | ✔️ | After component execution fails |
-|1| `generation_pre_call` | Generation Pipeline | (Backend, Context) | ✔️ | Before LLM backend call |
-|1| `generation_post_call` | Generation Pipeline | (Backend, Context) | ✔️ | After LLM response received |
-|1| `generation_stream_chunk` | Generation Pipeline | (Backend, Context) |  | For each streaming chunk |
-|1| `validation_pre_check` | Validation | (Backend, Context) | ✔️ | Before requirement validation |
-|1| `validation_post_check` | Validation | (Backend, Context) | ✔️ | After validation completes |
-|3| `sampling_loop_start` | Sampling Pipeline | (Backend, Context) | ✔️ | When sampling strategy begins |
-|3| `sampling_iteration` | Sampling Pipeline | (Backend, Context) | ✔️ | After each sampling attempt |
-|3| `sampling_repair` | Sampling Pipeline | (Backend, Context) | ✔️ | When repair is invoked |
-|3| `sampling_loop_end` | Sampling Pipeline | (Backend, Context) | ✔️ | When sampling completes |
-|1| `tool_pre_invoke` | Tool Execution | (Backend, Context) | ✔️ | Before tool/function invocation |
-|1| `tool_post_invoke` | Tool Execution | (Backend, Context) | ✔️ | After tool execution |
-|5| `adapter_pre_load` | Backend Adapter Ops | Backend |  | Before `backend.load_adapter()` |
-|5| `adapter_post_load` | Backend Adapter Ops | Backend |  | After adapter loaded |
-|5| `adapter_pre_unload` | Backend Adapter Ops | Backend |  | Before `backend.unload_adapter()` |
-|5| `adapter_post_unload` | Backend Adapter Ops | Backend |  | After adapter unloaded |
-|7| `context_update` | Context Operations | Context |  | When context changes |
-|7| `context_prune` | Context Operations | Context |  | When context is trimmed |
-|7| `error_occurred` | Error Handling | Cross-cutting |  | When an unrecoverable error occurs |
-
-## 3b. Hook Payload Policies
-
-Payload mutability is enforced at **two layers**:
-
-1. **Execution mode** (cpex layer) — only `SEQUENTIAL` and `TRANSFORM` plugins can modify payloads. `AUDIT`, `CONCURRENT`, and `FIRE_AND_FORGET` plugins have their modifications silently discarded by cpex regardless of what the policy table says.
-
-2. **Field-level policy** (Mellea layer) — for modes that *can* modify, each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns: only changes to writable fields are accepted; all other modifications are silently discarded.
-
-Hooks not listed in the policy table are **observe-only** — with `DefaultHookPolicy.DENY` (the Mellea default), any modification attempt on an unlisted hook is rejected at runtime.
-
-### Policy Types
-
-```python
-from dataclasses import dataclass
-from enum import Enum
-
-class DefaultHookPolicy(str, Enum):
-    """Controls behavior for hooks without an explicit policy."""
-    ALLOW = "allow"   # Accept all modifications (backwards-compatible)
-    DENY = "deny"     # Reject all modifications (strict mode, default for Mellea)
-
-@dataclass(frozen=True)
-class HookPayloadPolicy:
-    """Defines which payload fields plugins may modify."""
-    writable_fields: frozenset[str]
-```
-
-### Policy Enforcement
-
-When a plugin returns `PluginResult(modified_payload=...)`, the plugin manager applies `apply_policy()`:
-
-```python
-def apply_policy(
-    original: BaseModel,
-    modified: BaseModel,
-    policy: HookPayloadPolicy,
-) -> BaseModel | None:
-    """Accept only changes to writable fields; discard all others.
-
-    Returns an updated payload via model_copy(update=...), or None
-    if the plugin made no effective (allowed) changes.
-    """
-    updates: dict[str, Any] = {}
-    for field in policy.writable_fields:
-        old_val = getattr(original, field, _SENTINEL)
-        new_val = getattr(modified, field, _SENTINEL)
-        if new_val is not _SENTINEL and new_val != old_val:
-            updates[field] = new_val
-    return original.model_copy(update=updates) if updates else None
-```
-
-### Policy Table
-
-| Hook Point | Writable Fields |
-|------------|----------------|
-| **Session Lifecycle** | |
-| `session_pre_init` | `model_id`, `model_options` |
-| `session_post_init` | *(observe-only)* |
-| `session_reset` | *(observe-only)* |
-| `session_cleanup` | *(observe-only)* |
-| **Component Lifecycle** | |
-| `component_pre_create` | `description`, `images`, `requirements`, `icl_examples`, `grounding_context`, `user_variables`, `prefix`, `template_id` |
-| `component_post_create` | `component` |
-| `component_pre_execute` | `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled` |
-| `component_post_success` | *(observe-only)* |
-| `component_post_error` | *(observe-only)* |
-| **Generation Pipeline** | |
-| `generation_pre_call` | `model_options`, `format`, `tool_calls` |
-| `generation_post_call` | *(observe-only)* |
-| `generation_stream_chunk` | `chunk`, `accumulated` |
-| **Validation** | |
-| `validation_pre_check` | `requirements`, `model_options` |
-| `validation_post_check` | `results`, `all_validations_passed` |
-| **Sampling Pipeline** | |
-| `sampling_loop_start` | `loop_budget` |
-| `sampling_iteration` | *(observe-only)* |
-| `sampling_repair` | *(observe-only)* |
-| `sampling_loop_end` | *(observe-only)* |
-| **Tool Execution** | |
-| `tool_pre_invoke` | `model_tool_call` |
-| `tool_post_invoke` | `tool_output` |
-| **Backend Adapter Ops** | |
-| `adapter_pre_load` | *(observe-only)* |
-| `adapter_post_load` | *(observe-only)* |
-| `adapter_pre_unload` | *(observe-only)* |
-| `adapter_post_unload` | *(observe-only)* |
-| **Context Operations** | |
-| `context_update` | *(observe-only)* |
-| `context_prune` | *(observe-only)* |
-| **Error Handling**| |
-| `error_occurred` | *(observe-only)* |
-
-### Default Policy
-
-Mellea uses `DefaultHookPolicy.DENY` as the default for hooks without an explicit policy. This means:
-
-- **Hooks with an explicit policy**: Only writable fields are accepted; other changes are discarded.
-- **Hooks without a policy** (observe-only): All modifications are rejected with a warning log.
-- **Custom hooks**: Custom hooks registered by users default to `DENY`. To allow modifications, pass a `HookPayloadPolicy` when registering the custom hook type.
-
-### Modification Pattern
-
-Because payloads are frozen, plugins must use `model_copy(update={...})` to create a modified copy:
-
-```python
-@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_budget(payload, ctx):
-    if (_estimate_tokens(payload) or 0) > 4000:
-        return block("Token budget exceeded")
-
-    # Modify a writable field — use model_copy, not direct assignment
-    modified = payload.model_copy(update={"model_options": {**payload.model_options, "max_tokens": 4000}})
-    return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-Attempting to set attributes directly (e.g., `payload.model_options = {...}`) raises a `FrozenModelError`.
-
-### Chaining
-
-When multiple plugins modify the same hook's payload, modifications are chained:
-
-1. Plugin A receives the original payload, returns a modified copy.
-2. The policy filters Plugin A's changes to writable fields only.
-3. Plugin B receives the policy-filtered result from Plugin A.
-4. The policy filters Plugin B's changes.
-5. The final policy-filtered payload is returned to the caller.
-
-This ensures each plugin sees the cumulative effect of prior plugins, and all modifications pass through the policy filter.
-
-## 4. Hook Definitions
-
-### A. Session Lifecycle Hooks
-
-Hooks that manage session boundaries, useful for initialization, state setup, and resource cleanup.
-
-#### `session_pre_init`
-
-- **Trigger**: Called immediately when `mellea.start_session()` is invoked, before backend initialization.
-- **Use Cases**:
-  - Loading user-specific policies
-  - Validating backend/model combinations
-  - Enforcing model usage policies
-- **Payload**:
-  ```python
-  class SessionPreInitPayload(BasePayload):
-      backend_name: str              # Requested backend identifier
-      model_id: str | ModelIdentifier  # Target model
-      model_options: dict | None     # Generation parameters
-      context_type: type[Context]    # Context class to use
-  ```
-- **Context**:
-  - `environment`: dict - Environment variables snapshot
-  - `cwd`: str - Current working directory
-
-
-#### `session_post_init`
-
-- **Trigger**: Called after session is fully initialized, before any operations.
-- **Use Cases**:
-  - Initializing plugin-specific session state
-  - Setting up telemetry/observability
-  - Registering session-scoped resources
-  - Remote logging setup
-- **Payload**:
-  ```python
-  class SessionPostInitPayload(BasePayload):
-      session: MelleaSession         # Fully initialized session (observe-only)
-  ```
-- **Context**:
-  - `backend_name`: str - Backend identifier
-
-
-#### `session_reset`
-
-- **Trigger**: Called when `session.reset()` is invoked to clear context.
-- **Use Cases**:
-  - Resetting plugin state
-  - Logging context transitions
-  - Preserving audit trails before reset
-- **Payload**:
-  ```python
-  class SessionResetPayload(BasePayload):
-      previous_context: Context      # Context about to be discarded (observe-only)
-  ```
-- **Context**:
-  - `backend_name`: str - Backend identifier
-
-
-#### `session_cleanup`
-
-- **Trigger**: Called when `session.close()`, `cleanup()`, or context manager exit occurs.
-- **Use Cases**:
-  - Flushing telemetry buffers
-  - Persisting audit trails
-  - Aggregating session metrics
-  - Cleaning up temporary resources
-- **Payload**:
-  ```python
-  class SessionCleanupPayload(BasePayload):
-      context: Context               # Context at cleanup time (observe-only)
-      interaction_count: int         # Number of items in context at cleanup
-  ```
-- **Context**:
-  - `backend_name`: str - Backend identifier
-
-
-### B. Component Lifecycle Hooks
-
-Hooks around Component creation and execution. All Mellea primitives — Instruction, Message, Query, Transform, GenerativeSlot — are Components. These hooks cover the full Component lifecycle; there are no separate hooks per component type.
-
-All component payloads include a `component_type: str` field (e.g., `"Instruction"`, `"Message"`, `"GenerativeSlot"`, `"Query"`, `"Transform"`) so plugins can filter by type. For example, a plugin targeting only generative slots would check `component_type == "GenerativeSlot"`.
-
-Not all `ComponentPreCreatePayload` fields are populated for every component type. The table below shows which fields are available per type (`✓` = populated, `—` = `None` or empty):
-
-| Field | Instruction | Message | Query | Transform | GenerativeSlot |
-|-------|:-----------:|:-------:|:-----:|:---------:|:--------------:|
-| `description` | ✓ | ✓ | ✓ | ✓ | ✓ |
-| `images` | ✓ | ✓ | — | — | ✓ |
-| `requirements` | ✓ | — | — | — | ✓ |
-| `icl_examples` | ✓ | — | — | — | ✓ |
-| `grounding_context` | ✓ | — | — | — | ✓ |
-| `user_variables` | ✓ | — | — | — | ✓ |
-| `prefix` | ✓ | — | — | — | ✓ |
-| `template_id` | ✓ | — | — | — | ✓ |
-
-Plugins should check for `None`/empty values rather than assuming all fields are present for all component types.
-
-
-#### `component_pre_create`
-
-> **Implementation deferred.** `component_pre_create` and `component_post_create` are not implemented in this iteration of the hook system. See the discussion note below.
-
-- **Trigger**: Called inside `Component.__init__` (specifically `Instruction.__init__` and `Message.__init__`), before attributes are assigned. Fires for every component created, regardless of the code path — whether via `instruct()`/`chat()`, `ainstruct()`/`achat()`, or direct construction (e.g. `Instruction(...)`).
-- **Use Cases**:
-  - PII redaction on user input
-  - Prompt injection detection
-  - Input validation and sanitization
-  - Injecting mandatory requirements
-  - Enforcing content policies
-- **Payload**:
-  ```python
-  class ComponentPreCreatePayload(BasePayload):
-      component_type: str                        # "Instruction", "GenerativeSlot", etc.
-      description: str                           # Main instruction text
-      images: list[ImageBlock] | None            # Attached images
-      requirements: list[Requirement | str]      # Validation requirements
-      icl_examples: list[str | CBlock]           # In-context learning examples
-      grounding_context: dict[str, str]          # Grounding variables
-      user_variables: dict[str, str] | None      # Template variables
-      prefix: str | CBlock | None                # Output prefix
-      template_id: str | None                    # Identifier of prompt template
-  ```
-- **Context**: `backend` and `context` are not available at this hook point (`None`). The hook fires from `__init__`, where no backend or execution context exists yet.
-
-
-#### `component_post_create`
-
-> **Implementation deferred.** See the discussion note below.
-
-- **Trigger**: Called at the end of `Component.__init__` (specifically `Instruction.__init__` and `Message.__init__`), after all attributes are set. Fires for every component created, regardless of the code path. Note: because this hook fires inside `__init__`, the component **cannot be replaced** — plugins may only mutate the component's attributes in-place.
-- **Use Cases**:
-  - Appending system prompts
-  - Context stuffing (RAG injection)
-  - Logging component patterns
-  - Validating final component structure
-- **Payload**:
-  ```python
-  class ComponentPostCreatePayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      component: Component           # The created component
-  ```
-- **Context**: `backend` and `context` are not available at this hook point (`None`). See `component_pre_create` note above.
-
-> **Discussion — why these hooks are deferred:**
->
-> `Component` is currently a `Protocol`, not an abstract base class. This means Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations.
->
-> Placing hook calls inside `Instruction.__init__` and `Message.__init__` works for those specific classes, but it is fragile (any user-defined `Component` subclass is invisible to the hooks) and architecturally wrong (the hook system should not need to be threaded manually into every `__init__`).
->
-> If `Component` were refactored to an abstract base class, Mellea could wrap `__init__` at the ABC level and fire `component_pre_create` / `component_post_create` generically for all subclasses, without per-class boilerplate.
->
-> Until that refactoring is decided and implemented, these two hook types are intentionally excluded from the active hook system. Use `component_pre_execute` for pre-execution policy enforcement, as it fires just before generation and covers the same high-value interception scenarios.
-
-
-#### `component_pre_execute`
-
-- **Trigger**: Before any component is executed via `aact()`.
-- **Use Cases**:
-  - Policy enforcement on generation requests
-  - Injecting/modifying model options
-  - Routing to different strategies
-  - Authorization checks
-  - Logging execution patterns
-- **Payload**:
-  ```python
-  class ComponentPreExecutePayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      action: Component | CBlock     # The component to execute
-      context_view: list[Component | CBlock] | None  # Linearized context
-      requirements: list[Requirement]  # Attached requirements (writable)
-      model_options: dict            # Generation parameters (writable)
-      format: type | None            # Structured output format (writable)
-      strategy: SamplingStrategy | None  # Sampling strategy (writable)
-      tool_calls_enabled: bool       # Whether tools are available (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-
-
-#### `component_post_success`
-
-- **Trigger**: After component execution completes successfully.
-- **Use Cases**:
-  - Logging generation results
-  - Output validation (hallucination check)
-  - PII scrubbing from response
-  - Applying output transformations
-  - Audit logging
-  - Collecting metrics
-- **Payload**:
-  ```python
-  class ComponentPostSuccessPayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      action: Component | CBlock     # Executed component      result: ModelOutputThunk       # Generation result (strong reference)
-      context_before: Context        # Context before execution      context_after: Context         # Context after execution      generate_log: GenerateLog      # Detailed execution log (strong reference)
-      sampling_results: list[SamplingResult] | None  # If sampling was used (strong reference)
-      latency_ms: int                # Execution time
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `token_usage`: dict | None
-  - `original_input`: dict - Input that triggered generation
-
-> **Design Decision: Separate Success/Error Hooks**
->
-> `component_post_success` and `component_post_error` are separate hooks rather than a single `component_post` with a sum type over success/failure. The reasons are:
->
-> 1. **Registration granularity** — Plugins subscribe to only what they need. An audit logger may only care about errors; a metrics collector may only care about successes.
-> 2. **Distinct payload shapes** — Success payloads carry `result`, `generate_log`, and `sampling_results`; error payloads carry `exception`, `error_type`, and `stack_trace`. A sum type would force nullable fields or tagged unions, adding complexity for every consumer.
-> 3. **Different execution modes** — Error hooks may be fire-and-forget (for alerting); success hooks may be blocking (for output transformation). Separate hooks allow per-hook execution timing configuration.
-
-
-#### `component_post_error`
-
-- **Trigger**: When component execution fails with an exception.
-- **Use Cases**:
-  - Error logging and alerting
-  - Custom error recovery
-  - Retry logic
-  - Graceful degradation
-- **Payload**:
-  ```python
-  class ComponentPostErrorPayload(BasePayload):
-      component_type: str            # "Instruction", "GenerativeSlot", etc.
-      action: Component | CBlock     # Component that failed      error: Exception               # The exception raised (strong reference)
-      error_type: str                # Exception class name
-      stack_trace: str               # Full stack trace
-      context: Context               # Context at time of error      model_options: dict            # Options used
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `recoverable`: bool - Can execution continue
-
-
-### C. Generation Pipeline Hooks
-
-Low-level hooks between the component abstraction and raw LLM API calls. These operate on the (Backend, Context) tuple — they do not require a session.
-
-> **Context Modification Sequencing**
->
-> `action`, `context`, and `context_view` are observe-only on `component_pre_execute` — plugins cannot modify them. `component_pre_execute` is the interception point for adjusting `requirements`, `model_options`, `format`, `strategy`, and `tool_calls_enabled` before generation begins.
-
-
-#### `generation_pre_call`
-
-- **Trigger**: Just before the backend transmits data to the LLM API.
-- **Use Cases**:
-  - Tool selection filtering and requirements
-  - Prompt injection detection
-  - Content filtering
-  - Token budget enforcement
-  - Cost estimation
-  - Prompt caching/deduplication
-  - Rate limiting
-  - Last-mile formatting
-- **Payload**:
-  ```python
-  class GenerationPreCallPayload(BasePayload):
-      action: Component | CBlock           # Source action      context: Context                     # Current context      model_options: dict[str, Any]        # Generation parameters (writable)
-      format: type | None                  # Structured output format (writable)
-      tool_calls: bool                     # Whether tool calling is enabled (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `backend_name`: str
-  - `model_id`: str
-  - `provider`: str - Provider name (e.g., "ibm/granite")
-
-- **Notes**:
-  - Field `formatted_prompt: str | list[dict] # Final prompt to send` not implemented
-
-#### `generation_post_call`
-
-- **Trigger**: For lazy `ModelOutputThunk` objects (the normal path), fires inside `ModelOutputThunk.astream` after `post_process` completes — at the point where `model_output.value` is fully materialized. For already-computed thunks (e.g. cached responses), fires inline before `generate_from_context` returns. `latency_ms` is measured from the `generate_from_context` call to value availability in both cases.
-- **Use Cases**:
-  - Output filtering/sanitization
-  - PII detection and redaction
-  - Response caching
-  - Quality metrics collection
-  - Hallucination detection
-  - Raw trace logging
-  - Error interception (API limits/retries)
-- **Payload**:
-  ```python
-  class GenerationPostCallPayload(BasePayload):
-      prompt: str | list[dict]       # Sent prompt (from linearization)
-      model_output: ModelOutputThunk # Fully computed output thunk
-      latency_ms: float              # Elapsed ms from generate_from_context call to value availability
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `backend_name`: str
-  - `model_id`: str
-  - `status_code`: int | None - HTTP status from provider
-  - `stream_chunks`: int | None - Number of chunks if streaming
-- **Notes**:
-  - On the lazy path (normal), `model_output.value` is guaranteed to be available when this hook fires.
-  - Replacing `model_output` is supported on both paths. On the lazy path, the original MOT's output fields are updated in-place via `_copy_from`.
-  - On the already-computed path (e.g. cached responses), the returned MOT object itself is replaced.
-
-#### `generation_stream_chunk`
-
-- **Trigger**: For each streaming chunk received from the LLM.
-- **Use Cases**:
-  - Real-time content filtering
-  - Progressive output display
-  - Early termination on policy violation
-  - Streaming analytics
-- **Payload**:
-  ```python
-  class GenerationStreamChunkPayload(BasePayload):
-      chunk: str                     # Current chunk text
-      accumulated: str               # All text so far
-      chunk_index: int               # Chunk sequence number
-      is_final: bool                 # Is this the last chunk
-  ```
-- **Context**:
-  - `thunk_id`: str
-  - `backend`: Backend
-  - `context`: Context
-  - `backend_name`: str
-  - `model_id`: str
-
-
-### D. Validation Hooks
-
-Hooks around requirement verification and output validation. These operate on the (Backend, Context) tuple.
-
-
-#### `validation_pre_check`
-
-- **Trigger**: Before running validation/requirements check.
-- **Use Cases**:
-  - Injecting additional requirements
-  - Filtering requirements based on context
-  - Overriding validation strategy
-  - Custom validation logic
-- **Payload**:
-  ```python
-  class ValidationPreCheckPayload(BasePayload):
-      requirements: list[Requirement]  # Requirements to check (writable)
-      target: CBlock | None            # Target to validate      context: Context                 # Current context      model_options: dict              # Options for LLM-as-judge (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `validation_type`: str - "python" | "llm_as_judge"
-
-
-#### `validation_post_check`
-
-- **Trigger**: After all validations complete.
-- **Use Cases**:
-  - Logging validation outcomes
-  - Triggering alerts on failures
-  - Collecting requirement effectiveness metrics
-  - Overriding validation results
-  - Monitoring sampling attempts
-- **Payload**:
-  ```python
-  class ValidationPostCheckPayload(BasePayload):
-      requirements: list[Requirement]
-      results: list[ValidationResult]
-      all_validations_passed: bool
-      passed_count: int
-      failed_count: int
-      generate_logs: list[GenerateLog | None]  # Logs from LLM-as-judge
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `validation_duration_ms`: int
-
-
-### E. Sampling & Repair Hooks
-
-Hooks around sampling strategies and failure recovery. These operate on the (Backend, Context) tuple — sampling strategies take explicit `(action, context, backend)` arguments and do not require a session.
-
-
-#### `sampling_loop_start`
-
-- **Trigger**: When a sampling strategy begins execution.
-- **Use Cases**:
-  - Logging sampling attempts
-  - Adjusting loop budget dynamically
-  - Initializing sampling-specific state
-- **Payload**:
-  ```python
-  class SamplingLoopStartPayload(BasePayload):
-      strategy_name: str             # Strategy class name
-      action: Component              # Initial action      context: Context               # Initial context      requirements: list[Requirement]  # All requirements
-      loop_budget: int               # Maximum iterations (writable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `strategy_config`: dict
-
-
-#### `sampling_iteration`
-
-- **Trigger**: After each sampling attempt, including validation results.
-- **Use Cases**:
-  - Iteration-level metrics
-  - Early termination decisions
-  - Debug sampling behavior
-  - Adaptive strategy adjustment
-- **Payload**:
-  ```python
-  class SamplingIterationPayload(BasePayload):
-      iteration: int                 # 1-based iteration number
-      action: Component              # Action used this iteration      result: ModelOutputThunk       # Generation result (strong reference)
-      validation_results: list[tuple[Requirement, ValidationResult]]
-      all_validations_passed: bool   # Did all requirements pass
-      valid_count: int
-      total_count: int
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `remaining_budget`: int
-  - `elapsed_ms`: int
-
-
-#### `sampling_repair`
-
-- **Trigger**: When a repair strategy is invoked after validation failure. Behavior varies by sampling strategy.
-- **Strategy-Specific Behavior**:
-  - **RejectionSamplingStrategy**: Identity retry — same action, original context. No actual repair; simply regenerates. (`repair_type: "identity"`)
-  - **RepairTemplateStrategy**: Appends failure descriptions via `copy_and_repair()`, producing a modified context that includes what went wrong. (`repair_type: "template_repair"`)
-  - **MultiTurnStrategy**: Adds a Message describing failures to the conversation context, treating repair as a new conversational turn. (`repair_type: "multi_turn_message"`)
-  - **SOFAISamplingStrategy**: Two-solver approach with targeted feedback between attempts. (`repair_type: "sofai_feedback"`)
-- **Use Cases**:
-  - Logging repair patterns
-  - Injecting custom repair strategies
-  - Analyzing failure modes
-  - Adjusting repair approach
-- **Payload**:
-  ```python
-  class SamplingRepairPayload(BasePayload):
-      repair_type: str               # "identity" | "template_repair" | "multi_turn_message" | "sofai_feedback" | "custom"
-      failed_action: Component       # Action that failed      failed_result: ModelOutputThunk  # Failed output (strong reference)
-      failed_validations: list[tuple[Requirement, ValidationResult]]
-      repair_action: Component       # New action for retry
-      repair_context: Context        # Context for retry
-      repair_iteration: int          # 1-based iteration at which repair was triggered
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `past_failures`: list[str]
-
-
-#### `sampling_loop_end`
-
-- **Trigger**: When sampling completes (success or failure).
-- **Use Cases**:
-  - Sampling effectiveness metrics
-  - Failure analysis
-  - Cost tracking
-  - Selecting best failed attempt
-- **Payload**:
-  ```python
-  class SamplingLoopEndPayload(BasePayload):
-      success: bool                  # Did sampling succeed
-      iterations_used: int           # Total iterations performed
-      final_result: ModelOutputThunk | None  # Best result (strong reference)
-      final_action: Component | None         # Component that produced final_result      final_context: Context | None          # Context for final_result      failure_reason: str | None     # If failed, why
-      all_results: list[ModelOutputThunk]    # All iteration results (strong references)
-      all_validations: list[list[tuple[Requirement, ValidationResult]]]
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `strategy_name`: str
-  - `total_duration_ms`: int
-  - `tokens_used`: int | None
-
-
-### F. Tool Calling Hooks
-
-Hooks around tool/function execution. These operate on the (Backend, Context) tuple.
-
-
-#### `tool_pre_invoke`
-
-- **Trigger**: Before invoking a tool/function from LLM output.
-- **Use Cases**:
-  - Tool authorization
-  - Argument validation/sanitization
-  - Tool routing/redirection
-  - Rate limiting per tool
-- **Payload**:
-  ```python
-  class ToolPreInvokePayload(BasePayload):
-      model_tool_call: ModelToolCall # Raw model output (contains name, args, callable)
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `available_tools`: list[str]
-  - `invocation_source`: str - "transform" | "action" | etc.
-
-
-#### `tool_post_invoke`
-
-- **Trigger**: After tool execution completes.
-- **Use Cases**:
-  - Output transformation
-  - Error handling/recovery
-  - Tool usage metrics
-  - Result caching
-- **Payload**:
-  ```python
-  class ToolPostInvokePayload(BasePayload):
-      model_tool_call: ModelToolCall # Raw model output (contains name, args, callable)
-      tool_output: Any               # Raw tool output
-      tool_message: ToolMessage      # Formatted message
-      execution_time_ms: int
-      success: bool                  # Did tool execute without error
-      error: Exception | None        # Error if any
-  ```
-- **Context**:
-  - `backend`: Backend
-  - `context`: Context
-  - `invocation_source`: str
-
-
-### G. Backend Adapter Operations
-
-Hooks around LoRA/aLoRA adapter loading and unloading on backends. Based on the `AdapterMixin` protocol in `mellea/backends/adapters/adapter.py`.
-
-> **Future Work: Backend Switching**
->
-> These hooks cover adapter load/unload on a single backend. Hooks for switching the entire backend on a session (e.g., from Ollama to OpenAI mid-session) are a potential future extension and are distinct from adapter management.
-
-
-#### `adapter_pre_load`
-
-- **Trigger**: Before `backend.load_adapter()` is called.
-- **Use Cases**:
-  - Validating adapter compatibility
-  - Enforcing adapter usage policies
-  - Logging adapter load attempts
-- **Payload**:
-  ```python
-  class AdapterPreLoadPayload(BasePayload):
-      adapter_name: str              # Name/path of adapter
-      adapter_config: dict           # Adapter configuration
-      backend_name: str              # Backend being adapted
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-#### `adapter_post_load`
-
-- **Trigger**: After adapter has been successfully loaded.
-- **Use Cases**:
-  - Confirming adapter activation
-  - Updating metrics/state
-  - Triggering downstream reconfiguration
-- **Payload**:
-  ```python
-  class AdapterPostLoadPayload(BasePayload):
-      adapter_name: str
-      adapter_config: dict
-      backend_name: str
-      load_duration_ms: int          # Time to load adapter
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-#### `adapter_pre_unload`
-
-- **Trigger**: Before `backend.unload_adapter()` is called.
-- **Use Cases**:
-  - Flushing adapter-specific state
-  - Logging adapter lifecycle
-  - Preventing unload during active generation
-- **Payload**:
-  ```python
-  class AdapterPreUnloadPayload(BasePayload):
-      adapter_name: str
-      backend_name: str
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-#### `adapter_post_unload`
-
-- **Trigger**: After adapter has been unloaded.
-- **Use Cases**:
-  - Confirming adapter deactivation
-  - Cleaning up adapter-specific resources
-  - Updating metrics
-- **Payload**:
-  ```python
-  class AdapterPostUnloadPayload(BasePayload):
-      adapter_name: str
-      backend_name: str
-      unload_duration_ms: int        # Time to unload adapter
-  ```
-- **Context**:
-  - `backend`: Backend
-
-
-### H. Context Operations Hooks
-
-Hooks around context changes and management. These operate on the Context directly.
-
-
-#### `context_update`
-
-- **Trigger**: When a component or CBlock is explicitly appended to a session's context (e.g., after a successful generation or a user-initiated addition). Does not fire on internal framework reads or context linearization.
-- **Use Cases**:
-  - Context audit trail
-  - Memory management policies
-  - Sensitive data detection
-  - Token usage monitoring
-- **Payload**:
-  ```python
-  class ContextUpdatePayload(BasePayload):
-      previous_context: Context      # Context before change
-      new_data: Component | CBlock   # Data being added
-      resulting_context: Context     # Context after change
-      context_type: str              # "simple" | "chat"
-      change_type: str               # "append" | "reset"
-  ```
-- **Context**:
-  - `context`: Context
-  - `history_length`: int
-
-
-#### `context_prune`
-
-- **Trigger**: When `view_for_generation` is called and context exceeds token limits, or when a dedicated prune API is invoked. This is the point where context is linearized and token budget enforcement becomes relevant.
-- **Use Cases**:
-  - Token budget management
-  - Recording pruning events
-  - Custom pruning strategies
-  - Archiving pruned content
-- **Payload**:
-  ```python
-  class ContextPrunePayload(BasePayload):
-      context_before: Context        # Context before pruning
-      context_after: Context         # Context after pruning
-      pruned_items: list[Component | CBlock]  # Items removed
-      reason: str                    # Why pruning occurred
-      tokens_freed: int | None       # Token estimate freed
-  ```
-- **Context**:
-  - `context`: Context
-  - `token_limit`: int | None
-
-
-### I. Error Handling Hooks
-
-Cross-cutting hook for error conditions.
-
-
-#### `error_occurred`
-
-- **Trigger**: When an unrecoverable error occurs during any operation.
-- **Fires for**:
-  - `ComponentParseError` — structured output parsing failures
-  - Backend communication errors — connection failures, API errors, timeouts
-  - Assertion violations — internal invariant failures
-  - Any unhandled `Exception` during component execution, validation, or tool invocation
-- **Does NOT fire for**:
-  - Validation failures within sampling loops — these are handled by `sampling_iteration` and `sampling_repair`
-  - Controlled plugin violations via `PluginResult(continue_processing=False)` — these are policy decisions, not errors
-- **Use Cases**:
-  - Error logging/alerting
-  - Custom error recovery
-  - Error metrics
-  - Graceful degradation
-  - Notification systems
-- **Payload**:
-  ```python
-  class ErrorOccurredPayload(BasePayload):
-      error: Exception               # The exception
-      error_type: str                # Exception class name
-      error_location: str            # Where error occurred
-      recoverable: bool              # Can execution continue
-      context: Context | None        # Context at time of error
-      action: Component | None       # Action being performed
-      stack_trace: str               # Full stack trace
-  ```
-- **Context**:
-  - `session`: MelleaSession | None
-  - `backend`: Backend | None
-  - `context`: Context | None
-  - `operation`: str - What operation was being performed
-
-
-## 5. GlobalContext (Ambient Metadata)
-
-The `GlobalContext` passed to hooks carries lightweight, cross-cutting ambient metadata that is useful to every hook regardless of type. Hook-specific data (context, session, action, etc.) belongs on the **typed payload**, not on the global context.
-
-### What goes in GlobalContext
-
-```python
-# GlobalContext.state — same for all hook types
-backend_name: str                  # Derived from backend.model_id (when backend is passed)
-```
-
-The `backend_name` is a lightweight string extracted from `backend.model_id`. The full `backend` and `session` objects are **not** stored in GlobalContext — this avoids giving plugins unchecked mutable access to core framework objects.
-
-### What goes on payloads
-
-Domain-specific data belongs on the typed payload for each hook:
-
-- **`context`** — Available on payload types that need it (e.g., `GenerationPreCallPayload.context`, `ComponentPreExecutePayload.context`, `SamplingLoopStartPayload.context`)
-- **`session`** — Available on session hook payloads (e.g., `SessionPostInitPayload.session`)
-- **`action`**, **`result`**, **`model_output`** — Available on the relevant pre/post payloads
-
-This design ensures that plugins access data through typed, documented, discoverable payload fields rather than untyped dict lookups on `global_context.state`.
-
-### Design rationale
-
-Previously, `context`, `session`, and `backend` were passed both on payloads and in `GlobalContext.state`, creating duplication. The same mutable object accessible via two paths was a footgun — plugins could be confused about which to read/modify. The refactored design:
-
-1. **Payloads** are the primary API surface — typed, documented, policy-controlled
-2. **GlobalContext** holds only truly ambient metadata (`backend_name`) that doesn't belong on any specific payload
-3. No mutable framework objects (`Backend`, `MelleaSession`, `Context`) are stored in GlobalContext
-
-## 6. Hook Results
-
-Hooks can return different result types to control execution:
-
-1. **Continue (no-op)** — `PluginResult(continue_processing=True)` with no `modified_payload`. Execution proceeds with the original payload unchanged.
-2. **Continue with modification** — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's `HookPayloadPolicy`, accepting only changes to writable fields. Execution proceeds with the policy-filtered payload.
-3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. Execution halts with structured error information via `PluginViolation`.
-
-These three outcomes are exhaustive. Hooks cannot redirect control flow, throw arbitrary exceptions, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type — there is no escape hatch. The `violation` field provides structured error information but does not influence which code path runs next.
-
-Because payloads are frozen, the `modified_payload` in option 2 must be a new object created via `payload.model_copy(update={...})` — not a mutated version of the original.
-
-### Modify Payload
-
-Use the `modify()` convenience helper to return a modified payload. It absorbs both the `model_copy` call and the `PluginResult` wrapping:
-
-```python
-from mellea.plugins import modify
-
-return modify(payload, model_options=new_options)
-```
-
-This is equivalent to the verbose form:
-
-```python
-modified = payload.model_copy(update={"model_options": new_options})
-return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-Multiple fields can be updated in a single call:
-
-```python
-return modify(payload, action=new_action, model_options=new_options)
-```
-
-> **Note**: Only changes to fields listed in the hook's `HookPayloadPolicy.writable_fields` will be accepted. Changes to other fields are silently discarded by the policy enforcement layer.
-
-### Block Execution
-
-Use the `block()` convenience helper to halt execution with structured violation information:
-
-```python
-from mellea.plugins import block
-
-return block("Token budget exceeded", code="BUDGET_001")
-```
-
-This is equivalent to the verbose form:
-
-```python
-violation = PluginViolation(
-    reason="Token budget exceeded",
-    code="BUDGET_001",
-)
-return PluginResult(continue_processing=False, violation=violation)
-```
-
-`block()` accepts an optional `description` (longer explanation), `details` (dict of structured metadata), in addition to `reason` and `code`.
-
-### Symmetry of `modify()` and `block()`
-
-`modify()` and `block()` are intentional counterparts: one for transforming, one for stopping. Reading a hook at a glance, `return modify(...)` signals a payload transformation continues processing, while `return block(...)` signals a hard stop:
-
-```python
-@hook("component_pre_execute", mode=PluginMode.SEQUENTIAL)
-async def enforce_and_redact(payload, ctx):
-    if is_restricted(payload.action):
-        return block("Restricted topic", code="POLICY_001")
-    if has_pii(payload.action):
-        return modify(payload, action=redact(payload.action))
-    # returning None continues processing unchanged
-```
-
-## 7. Registration & Configuration
-
-### Public API
-
-All plugin registration APIs are available from `mellea.plugins`:
-
-```python
-from mellea.plugins import Plugin, hook, block, modify, PluginSet, register, unregister
-```
-
-### Standalone Function Hooks
-
-The simplest way to define a hook handler is with the `@hook` decorator on a plain async function:
-
-```python
-from mellea.plugins import hook, block, PluginMode
-
-@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_budget(payload, ctx):
-    if (_estimate_tokens(payload) or 0) > 4000:
-        return block("Token budget exceeded")
-
-@hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
-async def log_result(payload, ctx):
-    print(f"[{payload.component_type}] {payload.latency_ms}ms")
-```
-
-**Parameters**:
-- `hook_type: str` — the hook point name (required, first positional argument)
-- `mode: PluginMode` — `PluginMode.SEQUENTIAL` (default), `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, or `PluginMode.FIRE_AND_FORGET`
-- `priority: int` — lower numbers execute first (default: 50)
-
-The `block()` helper is shorthand for returning `PluginResult(continue_processing=False, violation=PluginViolation(reason=...))`. It accepts an optional `code`, `description`, and `details` for structured violation information.
-
-### Class-Based Plugins
-
-For plugins that need shared state across multiple hooks, subclass `Plugin`:
-
-```python
-from mellea.plugins import Plugin, hook
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    def __init__(self, patterns: list[str] | None = None):
-        self.patterns = patterns or []
-
-    @hook("component_pre_execute")
-    async def redact_input(self, payload, ctx):
-        ...
-
-    @hook("generation_post_call")
-    async def redact_output(self, payload, ctx):
-        ...
-```
-
-The `Plugin` base class uses `__init_subclass__` keyword arguments:
-- `name: str` — plugin name (required for registration)
-- `priority: int` — default priority for all hooks in this plugin (default: 50). Individual `@hook(priority=N)` on a method overrides this class-level default for that specific method. `PluginSet` priority overrides both.
-
-`Plugin` subclasses automatically support the context manager protocol (`with`/`async with`) for block-scoped activation.
-
-**Advanced: `MelleaPlugin` subclass** — for plugins that need cpex lifecycle hooks (`initialize`/`shutdown`) or typed context accessors. This is not part of the primary public API:
-
-```python
-from mellea.plugins.base import MelleaPlugin
-from mellea.plugins import hook
-
-class MetricsPlugin(MelleaPlugin):
-    def __init__(self, endpoint: str):
-        super().__init__()
-        self.endpoint = endpoint
-        self._buffer = []
-
-    async def initialize(self):
-        self._client = await connect(self.endpoint)
-
-    async def shutdown(self):
-        await self._client.flush(self._buffer)
-        await self._client.close()
-
-    @hook("component_post_success")
-    async def collect(self, payload, ctx):
-        backend = self.get_backend(ctx)  # typed accessor
-        self._buffer.append({"latency": payload.latency_ms})
-```
-
-### Composing Plugins with PluginSet
-
-`PluginSet` groups related hooks and plugins for reuse across sessions:
-
-```python
-from mellea.plugins import PluginSet
-
-security = PluginSet("security", [
-    enforce_budget,
-    PIIRedactor(patterns=[r"\d{3}-\d{2}-\d{4}"]),
-])
-
-observability = PluginSet("observability", [
-    log_result,
-    MetricsPlugin(endpoint="https://..."),
-])
-```
-
-`PluginSet` accepts standalone hook functions and `Plugin` subclass instances. PluginSets can be nested.
-
-### Global Registration
-
-Register plugins globally so they fire for all hook invocations — both session-based and functional API:
-
-```python
-from mellea.plugins import register
-
-register(security)                          # single item
-register([security, observability])         # list
-register(enforce_budget)                    # standalone function
-```
-
-`register()` accepts a single item or a list. Items can be standalone hook functions, plugin instances, or `PluginSet`s.
-
-### Global Deregistration
-
-To remove a globally registered plugin at runtime, use `unregister()`:
-
-```python
-from mellea.plugins import unregister
-
-unregister(security)                     # single item
-unregister([security, observability])    # list
-unregister(enforce_budget)              # standalone function
-```
-
-`unregister()` accepts the same item types as `register()`: standalone hook functions, `Plugin` subclass instances, and `PluginSet`s. Unregistering a `PluginSet` removes all of its member items. Calling `unregister()` on an item that is not currently registered is a no-op; it does not raise.
-
-`unregister()` applies only to globally registered plugins. Session-scoped plugins are deregistered automatically when their session ends; with-block-scoped plugins are deregistered on scope exit. Neither requires an explicit `unregister()` call.
-
-### Session-Scoped Registration
-
-Pass plugins to `start_session()` to scope them to that session:
-
-```python
-m = mellea.start_session(
-    backend_name="openai",
-    model_id="gpt-4",
-    plugins=[security, observability],
-)
-```
-
-The `plugins` parameter accepts the same types as `register()`: standalone hook functions, plugin instances, and `PluginSet`s. These plugins fire only within this session, in addition to any globally registered plugins. They are automatically deregistered when the session is cleaned up.
-
-### Functional API (No Session)
-
-When using the functional API directly:
-
-```python
-from mellea.stdlib.functional import instruct
-
-result = instruct(backend, context, "Extract the user's age")
-```
-
-Only globally registered plugins fire. If no global plugins are registered, hooks are no-ops with zero overhead. Session-scoped plugins do not apply because there is no session.
-
-### Priority
-
-- Lower numbers execute first
-- Within the same priority, execution order is deterministic but unspecified
-- Default priority: 50 (when no explicit priority is set anywhere)
-- Priority resolution order (highest precedence first):
-  1. `PluginSet` priority — overrides all items in the set, including nested `PluginSet`s
-  2. `@hook(priority=N)` on a method — overrides the class-level default for that specific method
-  3. `Plugin` class-level priority (`class Foo(Plugin, priority=N)`) — default for all methods without an explicit `@hook` priority
-  4. Framework default: 50
-- `HookMeta.priority` is `int | None` — `None` means "not explicitly set", resolved at registration time
-
-### YAML Configuration (Secondary)
-
-For deployment-time configuration, plugins can also be loaded from YAML. This is useful for enabling/disabling plugins or changing priorities without code changes:
-
-```yaml
-plugins:
-  - name: content-policy
-    kind: mellea.plugins.ContentPolicyPlugin
-    hooks:
-      - component_pre_create
-      - generation_post_call
-    mode: sequential
-    priority: 10
-    config:
-      blocked_terms: ["term1", "term2"]
-
-  - name: telemetry
-    kind: mellea.plugins.TelemetryPlugin
-    hooks:
-      - component_post_success
-      - validation_post_check
-      - sampling_loop_end
-    mode: fire_and_forget
-    priority: 100
-    config:
-      endpoint: "https://telemetry.example.com"
-```
-
-### Execution Modes (YAML / PluginMode Enum)
-
-The following modes are available in CPEX's `PluginMode` enum and YAML configuration:
-
-- **`sequential`** (`PluginMode.SEQUENTIAL`): Awaited inline, serial execution, block on violation
-- **`concurrent`** (`PluginMode.CONCURRENT`): Awaited inline, concurrent execution, violations honored
-- **`audit`** (`PluginMode.AUDIT`): Awaited inline, log violations without blocking
-- **`fire_and_forget`** (`PluginMode.FIRE_AND_FORGET`): Background task, result ignored
-- **`disabled`** (`PluginMode.DISABLED`): Skip hook execution (deployment-time only)
-
-The `@hook` decorator accepts Mellea's own `PluginMode` enum values (`SEQUENTIAL`, `CONCURRENT`, `AUDIT`, `FIRE_AND_FORGET`) which map to CPEX's internal `PluginMode`. The `disabled` mode is a deployment-time concern configured via YAML or programmatic `PluginConfig`.
-
-### Custom Hook Types
-
-The plugin framework supports custom hook types for domain-specific extension points beyond the built-in lifecycle hooks. This is particularly relevant for agentic patterns (ReAct, tool-use loops, etc.) where the execution flow is application-defined.
-
-Custom hooks use the same `@hook` decorator:
-
-```python
-@hook("react_pre_reasoning")
-async def before_reasoning(payload, ctx):
-    ...
-```
-
-Custom hooks follow the same calling convention, payload chaining, and result semantics as built-in hooks. The plugin manager discovers them via the decorator metadata at registration time. As agentic patterns stabilize in Mellea, frequently-used custom hooks may be promoted to built-in hooks.
-
-## 8. Example Implementations
-
-### Token Budget Enforcement (Standalone Function)
-
-```python
-from mellea.plugins import hook, block, PluginMode
-
-@hook("generation_pre_call", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    budget = 4000
-    estimated = _estimate_tokens(payload) or 0
-    if estimated > budget:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {budget}",
-            code="TOKEN_BUDGET_001",
-            details={"estimated": estimated, "budget": budget},
-        )
-```
-
-### Content Policy (Standalone Function)
-
-```python
-from mellea.plugins import hook, block, PluginMode
-
-BLOCKED_TERMS = ["term1", "term2"]
-
-@hook("component_pre_create", mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_content_policy(payload, ctx):
-    # Only enforce on Instructions and GenerativeSlots
-    if payload.component_type not in ("Instruction", "GenerativeSlot"):
-        return None
-
-    for term in BLOCKED_TERMS:
-        if term.lower() in payload.description.lower():
-            return block(
-                f"Component contains blocked term: {term}",
-                code="CONTENT_POLICY_001",
-            )
-```
-
-### Audit Logger (Fire-and-Forget)
-
-```python
-from mellea.plugins import hook, PluginMode
-
-@hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
-async def audit_log_success(payload, ctx):
-    await send_to_audit_service({
-        "event": "generation_success",
-        "session_id": payload.session_id,
-        "component_type": payload.component_type,
-        "latency_ms": payload.latency_ms,
-        "timestamp": payload.timestamp.isoformat(),
-    })
-
-@hook("component_post_error", mode=PluginMode.FIRE_AND_FORGET)
-async def audit_log_error(payload, ctx):
-    await send_to_audit_service({
-        "event": "generation_error",
-        "session_id": payload.session_id,
-        "error_type": payload.error_type,
-        "timestamp": payload.timestamp.isoformat(),
-    })
-```
-
-### PII Redaction Plugin (Class-Based with `Plugin`)
-
-```python
-import re
-from mellea.plugins import Plugin, hook, PluginResult
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    def __init__(self, patterns: list[str] | None = None):
-        self.patterns = patterns or [r"\d{3}-\d{2}-\d{4}"]
-
-    @hook("component_pre_create")
-    async def redact_input(self, payload, ctx):
-        redacted = self._redact(payload.description)
-        if redacted != payload.description:
-            modified = payload.model_copy(update={"description": redacted})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-    @hook("generation_post_call")
-    async def redact_output(self, payload, ctx):
-        # model_output is a ModelOutputThunk — value may be None (lazy/uncomputed)
-        output_value = getattr(payload.model_output, "value", None)
-        if output_value is None:
-            return  # thunk not yet computed, nothing to redact
-        redacted = self._redact(output_value)
-        if redacted != output_value:
-            payload.model_output.value = redacted
-
-    def _redact(self, text: str) -> str:
-        for pattern in self.patterns:
-            text = re.sub(pattern, "[REDACTED]", text)
-        return text
-```
-
-### Generative Slot Profiler (`Plugin` Subclass)
-
-```python
-from collections import defaultdict
-from mellea.plugins import Plugin, hook
-
-class SlotProfiler(Plugin, name="slot-profiler"):
-    """Tracks latency stats for GenerativeSlot executions."""
-
-    def __init__(self):
-        self._stats = defaultdict(lambda: {"calls": 0, "total_ms": 0})
-
-    @hook("component_post_success")
-    async def profile(self, payload, ctx):
-        if payload.component_type != "GenerativeSlot":
-            return None
-        stats = self._stats[payload.action.__name__]
-        stats["calls"] += 1
-        stats["total_ms"] += payload.latency_ms
-```
-
-### Composition Example
-
-```python
-from mellea.plugins import PluginSet, register
-import mellea
-
-# Group by concern
-security = PluginSet("security", [
-    enforce_token_budget,
-    enforce_content_policy,
-    PIIRedactor(patterns=[r"\d{3}-\d{2}-\d{4}"]),
-])
-
-observability = PluginSet("observability", [
-    audit_log_success,
-    audit_log_error,
-    SlotProfiler(),
-])
-
-# Global: fires for all invocations (session and functional API)
-register(observability)
-
-# Session-scoped: security only for this session
-m = mellea.start_session(
-    backend_name="openai",
-    model_id="gpt-4",
-    plugins=[security],
-)
-
-# Functional API: only global plugins (observability) fire
-from mellea.stdlib.functional import instruct
-result = instruct(backend, context, "Extract the user's age")
-```
-
-
-## 9. Hook Execution Flow
-
-### Simplified Main Flow
-
-```mermaid
-flowchart LR
-    A([Start]) --> B[Session Init]
-    B --> C[Component]
-    C --> D[Generation]
-    D --> E[Validation]
-    E --> F{OK?}
-    F --> |Yes| G[Success]
-    F --> |No| H[Error/Retry]
-    G --> I[Cleanup]
-    H --> I
-    I --> J([End])
-
-    style A fill:#e1f5fe
-    style J fill:#e1f5fe
-    style F fill:#fce4ec
-```
-
-### Detailed Flow
-
-```mermaid
-flowchart TD
-    A([User Request]) --> B
-
-    subgraph Session["Session Lifecycle"]
-        B[session_pre_init]
-        B --> C[session_post_init]
-    end
-
-    C --> D
-
-    subgraph CompLifecycle["Component Lifecycle"]
-        D[component_pre_create]
-        D --> E[component_post_create]
-        E --> F[component_pre_execute]
-    end
-
-    F --> G
-
-    subgraph Sampling["Sampling Loop (if strategy)"]
-        SL1[sampling_loop_start]
-        SL1 --> SL2[sampling_iteration]
-        SL2 --> SL3{Valid?}
-        SL3 --> |No| SL4[sampling_repair]
-        SL4 --> SL2
-        SL3 --> |Yes| SL5[sampling_loop_end]
-    end
-
-    subgraph Generation["LLM Generation"]
-        G[generation_pre_call]
-        G --> H{{LLM Call}}
-        H --> H2[generation_stream_chunk]
-        H2 --> I[generation_post_call]
-    end
-
-    I --> J
-
-    subgraph Tools["Tool Calling (if tools)"]
-        T1[tool_pre_invoke]
-        T1 --> T2{{Tool Execution}}
-        T2 --> T3[tool_post_invoke]
-    end
-
-    subgraph Validation["Validation"]
-        J[validation_pre_check]
-        J --> K{{Requirements Check}}
-        K --> L[validation_post_check]
-    end
-
-    L --> M{Success?}
-
-    M --> |Yes| N[component_post_success]
-    M --> |No| O[component_post_error]
-
-    N --> P[context_update]
-    O --> Q[error_occurred]
-
-    subgraph ContextOps["Context Operations"]
-        P[context_update]
-        P -.-> P2[context_prune]
-    end
-
-    subgraph Adapter["Backend Adapter Operations"]
-        AD1[adapter_pre_load]
-        AD1 --> AD2[adapter_post_load]
-        AD3[adapter_pre_unload]
-        AD3 --> AD4[adapter_post_unload]
-    end
-
-    subgraph Cleanup["Session End"]
-        R2[session_cleanup]
-        R[session_reset]
-    end
-
-    P --> R2
-    Q --> R2
-    R2 --> Z([End])
-
-    %% Styling
-    style A fill:#e1f5fe
-    style Z fill:#e1f5fe
-    style H fill:#fff3e0
-    style K fill:#fff3e0
-    style T2 fill:#fff3e0
-    style M fill:#fce4ec
-    style SL3 fill:#fce4ec
-```
-
-## 10. Observability Integration
-
-### Shallow Logging and OTel
-
-"Shallow logging" refers to OTel-instrumenting the HTTP transport layer of LLM client libraries (openai, ollama, litellm). This captures request/response spans at the network level without awareness of Mellea's semantic concepts (components, sampling strategies, validation).
-
-The hook system provides natural integration points for enriching these shallow spans with Mellea-level context:
-
-- **`generation_pre_call`**: Inject span attributes such as `component_type`, `strategy_name`, and `backend_name` (from `GlobalContext.state`) into the active OTel context before the HTTP call fires
-- **`generation_post_call`**: Attach result metadata — `finish_reason`, `token_usage`, validation outcome — to the span after the call completes
-
-> **Forward-looking**: Mellea does not currently include OTel integration. This section describes the intended design for how hooks and shallow logging would compose when OTel support is added.
-
-## 11. Error Handling, Security & Isolation
-
-### Error Handling
-
-- **Isolation**: Plugin exceptions should not crash Mellea sessions; wrap each handler in try/except
-- **Logging**: All plugin errors are logged with full context
-- **Timeouts**: Support configurable timeouts for plugin execution
-- **Circuit Breaker**: Disable failing plugins after repeated errors
-
-### Security Considerations
-
-- **Data Privacy**: Payloads may include user content; plugins must respect privacy policies
-- **Redaction**: Consider masking sensitive fields for plugins that should not see them
-- **Sandboxing**: Provide options to run plugins in restricted environments
-- **Validation**: Validate plugin inputs and outputs to prevent injection attacks
-
-### Isolation Options
-
-This is a proposal for supporting compartmentalized execution of plugins.
-
-```yaml
-plugins:
-  - name: untrusted-plugin
-    kind: external.UntrustedPlugin
-    isolation:
-      sandbox: true
-      timeout_ms: 5000
-      max_memory_mb: 256
-      allowed_operations: ["read_payload", "emit_metric"]
-```
-
-## 12. Backward Compatibility & Migration
-
-### Versioning
-
-- Hook payload contracts are versioned (e.g., `payload_version: "1.0"`)
-- Breaking changes increment major version
-- Deprecated fields marked and maintained for one major version
-- Hook payload versions are independent of Mellea release versions. Payload versions change only when the payload schema changes, which may or may not coincide with a Mellea release
-
-### Default Behavior
-
-- Without plugins registered, Mellea behavior is unchanged
-- Default "no-op" plugin manager if no configuration provided
diff --git a/docs/dev/hook_system_implementation_plan.md b/docs/dev/hook_system_implementation_plan.md
deleted file mode 100644
index b37b976f5..000000000
--- a/docs/dev/hook_system_implementation_plan.md
+++ /dev/null
@@ -1,1230 +0,0 @@
-# Mellea Hook System Implementation Plan
-
-This document describes the implementation plan for the extensibility hook system specified in [`docs/dev/hook_system.md`](hook_system.md). The implementation uses [CPEX](https://github.com/contextforge-org/contextforge-plugins-framework) as an optional external dependency for core plumbing, while all Mellea-specific types — hook enums, payload models, and the plugin base class — are owned by Mellea under a new `mellea/plugins/` subpackage.
-
-The primary developer-facing API is the `@hook` decorator, the `Plugin` base class, and programmatic registration (`register()`, `PluginSet`). YAML configuration is supported as a secondary mechanism for deployment-time overrides. Plugins work identically whether invoked through a session or via the functional API (`instruct(backend, context, ...)`).
-
-## 1. Package Structure
-
-```
-mellea/plugins/
-├── __init__.py            # Public API: Plugin, hook, block, PluginSet, register, plugin_scope
-├── manager.py             # Singleton wrapper + session-tag filtering
-├── base.py                # Plugin base class, MelleaBasePayload, MelleaPlugin (advanced)
-├── types.py               # HookType enum, PluginMode enum + hook registration
-├── policies.py            # HookPayloadPolicy table + DefaultHookPolicy for Mellea hooks
-├── context.py             # Plugin context factory helper
-├── decorators.py          # @hook decorator implementation
-├── pluginset.py           # PluginSet class
-├── registry.py            # register(), block(), plugin_scope() + global/session dispatch logic
-└── hooks/
-    ├── __init__.py         # Re-exports all payload classes
-    ├── session.py          # session lifecycle payloads
-    ├── component.py        # component lifecycle payloads
-    ├── generation.py       # generation pipeline payloads
-    ├── validation.py       # validation payloads
-    ├── sampling.py         # sampling pipeline payloads
-    ├── tool.py             # tool execution payloads
-    ├── adapter.py          # adapter operation payloads
-    ├── context_ops.py      # context operation payloads
-    └── error.py            # error handling payload
-```
-
-## 2. CPEX (Key Interfaces Used)
-
-The following types from `cpex.framework` form the plumbing layer. Mellea uses these but does **not** import any CPEX-specific hook types (prompts, tools, resources, agents, http).
-
-| Type | Role |
-|------|------|
-| `Plugin` | ABC base class. `__init__(config: PluginConfig)`, `initialize()`, `shutdown()`. Hook methods discovered by convention (method name = hook type) or `@hook()` decorator. Signature: `async def hook_name(self, payload, context) -> PluginResult`. |
-| `PluginManager` | Borg singleton. `__init__(config_path, timeout, observability, hook_policies)`. Key methods: `invoke_hook(hook_type, payload, global_context, ...) -> (PluginResult, PluginContextTable)`, `has_hooks_for(hook_type) -> bool`, `initialize()`, `shutdown()`. The `hook_policies` parameter accepts a `dict[str, HookPayloadPolicy]` mapping hook types to their writable-field policies. |
-| `PluginPayload` | Base type for all hook payloads. Frozen Pydantic `BaseModel` (`ConfigDict(frozen=True)`). Plugins use `model_copy(update={...})` to propose modifications. |
-| `PluginResult[T]` | Generic result: `continue_processing: bool`, `modified_payload: T | None`, `violation: PluginViolation | None`, `metadata: dict`. |
-| `PluginViolation` | `reason`, `description`, `code`, `details`. |
-| `PluginConfig` | `name`, `kind`, `hooks`, `mode`, `priority`, `conditions`, `config`, ... |
-| `PluginMode` | `SEQUENTIAL`, `CONCURRENT`, `AUDIT`, `FIRE_AND_FORGET`, `DISABLED`. |
-| `PluginContext` | `state: dict`, `global_context: GlobalContext`, `metadata: dict`. |
-| `HookPayloadPolicy` | Frozen dataclass with `writable_fields: frozenset[str]`. Defines which payload fields plugins may modify for a given hook type. |
-| `DefaultHookPolicy` | Enum: `ALLOW` (accept all modifications), `DENY` (reject all modifications). Controls behavior for hooks without an explicit policy. |
-| `apply_policy()` | `apply_policy(original, modified, policy) -> BaseModel \| None`. Accepts only changes to writable fields via `model_copy(update=...)`, discarding unauthorized changes. Returns `None` if no effective changes. |
-| `HookRegistry` | `get_hook_registry()`, `register_hook(hook_type, payload_class, result_class)`, `is_registered(hook_type)`. |
-| `@hook` decorator | `@hook("hook_type")` or `@hook("hook_type", PayloadType, ResultType)` for custom method names. |
-
-### Class Diagram
-
-```mermaid
-classDiagram
-      direction TB
-
-      %% Core Plugin Classes
-      class Plugin {
-          <<abstract>>
-          +__init__(config: PluginConfig)
-          +initialize()* async
-          +shutdown()* async
-          +hook_name(payload, context)* async PluginResult
-      }
-
-      class PluginManager {
-          <<singleton>>
-          -config_path: str
-          -timeout: int
-          -observability: Any
-          -hook_registry: HookRegistry
-          -hook_policies: dict~str, HookPayloadPolicy~
-          +__init__(config_path, timeout, observability, hook_policies)
-          +invoke_hook(hook_type, payload, global_context, ...) tuple~PluginResult, PluginContextTable~
-          +has_hooks_for(hook_type: str) bool
-          +initialize() async
-          +shutdown() async
-      }
-
-      %% Configuration
-      class PluginConfig {
-          +name: str
-          +kind: str
-          +hooks: list~str~
-          +mode: PluginMode
-          +priority: int
-          +conditions: dict
-          +config: dict
-      }
-
-      class PluginMode {
-          <<enumeration>>
-          SEQUENTIAL
-          CONCURRENT
-          AUDIT
-          FIRE_AND_FORGET
-          DISABLED
-      }
-
-      %% Policy
-      class HookPayloadPolicy {
-          <<frozen dataclass>>
-          +writable_fields: frozenset~str~
-      }
-
-      class DefaultHookPolicy {
-          <<enumeration>>
-          ALLOW
-          DENY
-      }
-
-      %% Payload & Result
-      class PluginPayload {
-          <<type alias>>
-          pydantic.BaseModel
-          model_config: frozen=True
-      }
-
-      class PluginResult~T~ {
-          +continue_processing: bool
-          +modified_payload: T | None
-          +violation: PluginViolation | None
-          +metadata: dict
-      }
-
-      class PluginViolation {
-          +reason: str
-          +description: str
-          +code: str
-          +details: dict
-      }
-
-      %% Context
-      class PluginContext {
-          +state: dict
-          +global_context: GlobalContext
-          +metadata: dict
-      }
-
-      class hook {
-          <<decorator>>
-          +__call__(hook_type: str)
-          +__call__(hook_type, PayloadType, ResultType)
-      }
-
-      %% Relationships
-      Plugin --> PluginConfig : configured by
-      Plugin ..> PluginPayload : receives
-      Plugin ..> PluginResult : returns
-      Plugin ..> PluginContext : receives
-      Plugin ..> hook : decorated by
-
-      PluginManager --> Plugin : manages 0..*
-      PluginManager --> HookPayloadPolicy : enforces per hook
-
-      PluginConfig --> PluginMode : has
-
-      PluginResult --> PluginViolation : may contain
-      PluginResult --> PluginPayload : wraps modified
-```
-
-### YAML Plugin Configuration (reference)
-
-Plugins can also be configured via YAML as a secondary mechanism. Programmatic registration via `@hook`, `Plugin` subclasses, and `register()` is the primary approach.
-
-```yaml
-plugins:
-  - name: content-policy
-    kind: mellea.plugins.examples.ContentPolicyPlugin
-    hooks:
-      - component_pre_create
-      - generation_post_call
-    mode: sequential
-    priority: 10
-    config:
-      blocked_terms: ["term1", "term2"]
-
-  - name: telemetry
-    kind: mellea.plugins.examples.TelemetryPlugin
-    hooks:
-      - component_post_success
-      - sampling_loop_end
-    mode: fire_and_forget
-    priority: 100
-    config:
-      endpoint: "https://telemetry.example.com"
-```
-
-### Mellea Wrapper Layer
-
-Mellea exposes its own `@hook` decorator and `Plugin` base class that translate to CPEX registrations internally. This serves two purposes:
-
-1. **Mellea-aligned API**: The `@hook` decorator accepts a `mode` parameter using Mellea's own `PluginMode` enum (`PluginMode.SEQUENTIAL`, `PluginMode.CONCURRENT`, `PluginMode.AUDIT`, `PluginMode.FIRE_AND_FORGET`), which maps to CPEX's internal `PluginMode` enum. The `Plugin` base class uses `__init_subclass__` keyword arguments (`name=`, `priority=`) for ergonomic metadata declaration.
-2. **Session tagging**: Mellea's wrapper adds session-scoping metadata that CPEX's `PluginManager` does not natively support. The `manager.py` layer filters hooks at dispatch time based on session tags.
-
-Users never import from `cpex.framework` directly.
-
-## 3. Core Types
-
-### 3.1 `HookType` enum (`mellea/plugins/types.py`)
-
-A single `HookType(str, Enum)` containing all hook types. String-based values for compatibility with CPEX's `invoke_hook(hook_type: str, ...)`.
-
-```python
-class HookType(str, Enum):
-    # Session Lifecycle
-    SESSION_PRE_INIT = "session_pre_init"
-    SESSION_POST_INIT = "session_post_init"
-    SESSION_RESET = "session_reset"
-    SESSION_CLEANUP = "session_cleanup"
-
-    # Component Lifecycle
-    COMPONENT_PRE_CREATE = "component_pre_create"
-    COMPONENT_POST_CREATE = "component_post_create"
-    COMPONENT_PRE_EXECUTE = "component_pre_execute"
-    COMPONENT_POST_SUCCESS = "component_post_success"
-    COMPONENT_POST_ERROR = "component_post_error"
-
-    # Generation Pipeline
-    GENERATION_PRE_CALL = "generation_pre_call"
-    GENERATION_POST_CALL = "generation_post_call"
-    GENERATION_STREAM_CHUNK = "generation_stream_chunk"
-
-    # Validation
-    VALIDATION_PRE_CHECK = "validation_pre_check"
-    VALIDATION_POST_CHECK = "validation_post_check"
-
-    # Sampling Pipeline
-    SAMPLING_LOOP_START = "sampling_loop_start"
-    SAMPLING_ITERATION = "sampling_iteration"
-    SAMPLING_REPAIR = "sampling_repair"
-    SAMPLING_LOOP_END = "sampling_loop_end"
-
-    # Tool Execution
-    TOOL_PRE_INVOKE = "tool_pre_invoke"
-    TOOL_POST_INVOKE = "tool_post_invoke"
-
-    # Backend Adapter Ops
-    ADAPTER_PRE_LOAD = "adapter_pre_load"
-    ADAPTER_POST_LOAD = "adapter_post_load"
-    ADAPTER_PRE_UNLOAD = "adapter_pre_unload"
-    ADAPTER_POST_UNLOAD = "adapter_post_unload"
-
-    # Context Operations
-    CONTEXT_UPDATE = "context_update"
-    CONTEXT_PRUNE = "context_prune"
-
-    # Error Handling
-    ERROR_OCCURRED = "error_occurred"
-```
-
-### 3.2 `MelleaBasePayload` (`mellea/plugins/base.py`)
-
-All Mellea hook payloads inherit from this base, which extends `PluginPayload` with the common fields from the hook system spec (Section 2):
-
-```python
-class MelleaBasePayload(PluginPayload):
-    """Frozen base — all payloads are immutable by design.
-
-    Plugins must use ``model_copy(update={...})`` to propose modifications
-    and return the copy via ``PluginResult.modified_payload``.  The plugin
-    manager applies the hook's ``HookPayloadPolicy`` to filter changes to
-    writable fields only.
-    """
-    model_config = ConfigDict(frozen=True, arbitrary_types_allowed=True)
-
-    session_id: str | None = None
-    request_id: str
-    timestamp: datetime = Field(default_factory=datetime.utcnow)
-    hook: str
-    user_metadata: dict[str, Any] = Field(default_factory=dict)
-```
-
-`frozen=True` prevents in-place mutations — attribute assignment on a payload instance raises `FrozenModelError`. `arbitrary_types_allowed=True` is required because payloads include non-serializable Mellea objects (`Backend`, `Context`, `Component`, `ModelOutputThunk`). This means external plugins cannot receive these payloads directly; they are designed for native in-process plugins.
-
-### 3.3 Hook Registration (`mellea/plugins/types.py`)
-
-A `register_mellea_hooks()` function registers all hook types with CPEX `HookRegistry`. Called once during plugin initialization. Idempotent via `is_registered()` check.
-
-```python
-def register_mellea_hooks() -> None:
-    registry = get_hook_registry()
-    for hook_type, (payload_cls, result_cls) in _HOOK_REGISTRY.items():
-        if not registry.is_registered(hook_type):
-            registry.register_hook(hook_type, payload_cls, result_cls)
-```
-
-### 3.4 Context Mapping (`mellea/plugins/context.py`)
-
-CPEX provides a generic `GlobalContext` with a `state: dict`. The `build_global_context` factory populates it with lightweight, cross-cutting ambient metadata. Hook-specific data (context, session, action, etc.) belongs on the typed payload, not here.
-
-```python
-def build_global_context(
-    *,
-    backend: Backend | None = None,
-    **extra_fields,
-) -> GlobalContext:
-    state: dict[str, Any] = {}
-    if backend is not None:
-        state["backend_name"] = getattr(backend, "model_id", "unknown")
-    state.update(extra_fields)
-    return GlobalContext(request_id="", state=state)
-```
-
-> **Design note**: Previously, `context`, `session`, and the full `backend` object were stored in `GlobalContext.state`, duplicating data already present on typed payloads. This was removed to eliminate the duplication footgun — plugins should access domain objects through the typed, policy-controlled payload fields.
-
-### 3.5 `Plugin` Base Class (`mellea/plugins/base.py`)
-
-`Plugin` is the primary base class for multi-hook Mellea plugins. It is one of two ways to define plugins, alongside `@hook` on standalone functions (simplest). `Plugin` provides automatic context-manager support and plugin metadata via `__init_subclass__` keyword arguments.
-
-```python
-class Plugin:
-    """Base class for multi-hook Mellea plugins.
-
-    Subclasses get automatic context-manager support and plugin metadata::
-
-        class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-            @hook(HookType.COMPONENT_PRE_CREATE, mode=PluginMode.SEQUENTIAL)
-            async def redact_input(self, payload, ctx):
-                ...
-
-        with PIIRedactor():
-            result = session.instruct("...")
-    """
-
-    def __init_subclass__(
-        cls, *, name: str = "", priority: int = 50, **kwargs: Any
-    ) -> None:
-        """Set plugin metadata on subclasses that provide a ``name``."""
-        super().__init_subclass__(**kwargs)
-        if name:
-            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)
-
-    def __enter__(self) -> Any: ...
-    def __exit__(self, exc_type, exc_val, exc_tb) -> None: ...
-    async def __aenter__(self) -> Any: ...
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None: ...
-```
-
-`Plugin` has no cpex dependency and does not require lifecycle hooks. All context-manager methods delegate to `_plugin_cm_enter`/`_plugin_cm_exit` module-level helpers that handle UUID scope generation and registration/deregistration.
-
-### 3.5b `MelleaPlugin` Advanced Base Class (`mellea/plugins/base.py`)
-
-`MelleaPlugin` extends CPEX's `Plugin` with typed context accessor helpers. Use this **only** when you need cpex lifecycle hooks (`initialize`/`shutdown`) or typed context accessors. For all other cases, prefer the lighter-weight `Plugin` base class.
-
-```python
-class MelleaPlugin(_CpexPlugin):
-    """Advanced base class for Mellea plugins with lifecycle hooks and typed accessors."""
-
-    def get_backend_name(self, context: PluginContext) -> str | None:
-        return context.global_context.state.get("backend_name")
-
-    @property
-    def plugin_config(self) -> dict[str, Any]:
-        return self._config.config or {}
-```
-
-`MelleaPlugin` is **not** part of the primary public API and is not exported from `mellea.plugins`. Users who need it import it directly from `mellea.plugins.base`. CPEX's `initialize()` and `shutdown()` suffice — no new abstract methods are added.
-
-### 3.6 `@hook` Decorator (`mellea/plugins/decorators.py`)
-
-The `@hook` decorator works on both standalone async functions and `Plugin` subclass methods:
-
-```python
-@dataclass(frozen=True)
-class HookMeta:
-    hook_type: str
-    mode: PluginMode = PluginMode.SEQUENTIAL
-    priority: int = 50
-
-def hook(
-    hook_type: str,
-    *,
-    mode: PluginMode = PluginMode.SEQUENTIAL,
-    priority: int = 50,
-) -> Callable:
-    """Register an async function or method as a hook handler."""
-    def decorator(fn):
-        import inspect
-        if not inspect.iscoroutinefunction(fn):
-            raise TypeError(
-                f"@hook-decorated function {fn.__qualname__!r} must be async "
-                f"(defined with 'async def'), got a regular function."
-            )
-        fn._mellea_hook_meta = HookMeta(
-            hook_type=hook_type,
-            mode=mode,
-            priority=priority,
-        )
-        return fn
-    return decorator
-```
-
-The `mode` parameter uses Mellea's `PluginMode` enum, which maps to CPEX's internal `PluginMode`:
-- `PluginMode.SEQUENTIAL`: Hook is awaited inline, executed serially. Violations halt the chain.
-- `PluginMode.CONCURRENT`: Hook is awaited inline, but run concurrently with other `concurrent` hooks. Violations are honored.
-- `PluginMode.AUDIT`: Hook is awaited inline. Violations are logged but execution continues.
-- `PluginMode.FIRE_AND_FORGET`: Hook is dispatched as a background `asyncio.create_task()`. Result is ignored. This is handled by CPEX's `PluginManager` dispatch logic.
-
-When used on a standalone function, the metadata is read at `register()` time or when passed to `start_session(plugins=[...])`. When used on a `Plugin` subclass method, it is discovered during class registration via `_ClassPluginAdapter` introspection.
-
-### 3.7 `PluginMeta` (`mellea/plugins/base.py`)
-
-Plugin metadata is attached to `Plugin` subclasses automatically via `__init_subclass__`:
-
-```python
-@dataclass(frozen=True)
-class PluginMeta:
-    name: str
-    priority: int = 50
-```
-
-When a class inherits from `Plugin` with `name=` and/or `priority=` keyword arguments, `__init_subclass__` stores a `PluginMeta` instance as `cls._mellea_plugin_meta`. On registration, all methods with `_mellea_hook_meta` are discovered and registered as hook handlers bound to the instance. Methods without `@hook` are ignored.
-
-### 3.8 `PluginSet` (`mellea/plugins/pluginset.py`)
-
-A named, composable group of hook functions and plugin instances:
-
-```python
-class PluginSet:
-    def __init__(
-        self,
-        name: str,
-        items: list[Callable | Any | "PluginSet"],
-        *,
-        priority: int | None = None,
-    ):
-        self.name = name
-        self.items = items
-        self.priority = priority
-
-    def flatten(self) -> list[tuple[Callable | Any, int | None]]:
-        """Recursively flatten nested PluginSets into (item, priority_override) pairs."""
-        result = []
-        for item in self.items:
-            if isinstance(item, PluginSet):
-                result.extend(item.flatten())
-            else:
-                result.append((item, self.priority))
-        return result
-```
-
-PluginSets are inert containers — they do not register anything themselves. Registration happens when they are passed to `register()` or `start_session(plugins=[...])`.
-
-### 3.9 `block()` Helper (`mellea/plugins/registry.py`)
-
-Convenience function for returning a blocking result from a hook:
-
-```python
-def block(
-    reason: str,
-    *,
-    code: str = "",
-    description: str = "",
-    details: dict[str, Any] | None = None,
-) -> PluginResult:
-    return PluginResult(
-        continue_processing=False,
-        violation=PluginViolation(
-            reason=reason,
-            description=description or reason,
-            code=code,
-            details=details or {},
-        ),
-    )
-```
-
-
-### 3.10 Hook Payload Policies (`mellea/plugins/policies.py`)
-
-Defines the concrete per-hook-type policies for Mellea hooks. These are injected into the `PluginManager` at initialization time via the `hook_policies` parameter.
-
-```python
-from cpex.framework.hooks.policies import HookPayloadPolicy
-
-MELLEA_HOOK_PAYLOAD_POLICIES: dict[str, HookPayloadPolicy] = {
-    # Session Lifecycle
-    "session_pre_init": HookPayloadPolicy(
-        writable_fields=frozenset({"model_id", "model_options"}),
-    ),
-    # session_post_init, session_reset, session_cleanup: observe-only (no entry)
-
-    # Component Lifecycle
-    "component_pre_create": HookPayloadPolicy(
-        writable_fields=frozenset({
-            "description", "images", "requirements", "icl_examples",
-            "grounding_context", "user_variables", "prefix", "template_id",
-        }),
-    ),
-    "component_post_create": HookPayloadPolicy(
-        writable_fields=frozenset({"component"}),
-    ),
-    "component_pre_execute": HookPayloadPolicy(
-        writable_fields=frozenset({
-            "requirements", "model_options", "format",
-            "strategy", "tool_calls_enabled",
-        }),
-    ),
-    # component_post_success, component_post_error: observe-only
-
-    # Generation Pipeline
-    "generation_pre_call": HookPayloadPolicy(
-        writable_fields=frozenset({"model_options", "format", "tool_calls"}),
-    ),
-    # generation_post_call: observe-only
-    "generation_stream_chunk": HookPayloadPolicy(
-        writable_fields=frozenset({"chunk", "accumulated"}),
-    ),
-
-    # Validation
-    "validation_pre_check": HookPayloadPolicy(
-        writable_fields=frozenset({"requirements", "model_options"}),
-    ),
-    "validation_post_check": HookPayloadPolicy(
-        writable_fields=frozenset({"results", "all_validations_passed"}),
-    ),
-
-    # Sampling Pipeline
-    "sampling_loop_start": HookPayloadPolicy(
-        writable_fields=frozenset({"loop_budget"}),
-    ),
-    # sampling_iteration, sampling_repair, sampling_loop_end: observe-only
-
-    # Tool Execution
-    "tool_pre_invoke": HookPayloadPolicy(
-        writable_fields=frozenset({"model_tool_call"}),
-    ),
-    "tool_post_invoke": HookPayloadPolicy(
-        writable_fields=frozenset({"tool_output"}),
-    ),
-
-    # adapter_*, context_*, error_occurred: observe-only (no entry)
-}
-```
-
-Hooks absent from this table are observe-only. With `DefaultHookPolicy.DENY` (the Mellea default), any modification attempt on an observe-only hook is rejected with a warning log.
-
-## 4. Plugin Manager Integration (`mellea/plugins/manager.py`)
-
-### 4.1 Lazy Singleton Wrapper
-
-The `PluginManager` is lazily initialized on first use (either via `register()` or `start_session(plugins=[...])`). A config path is no longer required — code-first registration may be the only path.
-
-```python
-_plugin_manager: PluginManager | None = None
-_plugins_enabled: bool = False
-_session_tags: dict[str, set[str]] = {}  # session_id -> set of plugin keys
-
-def has_plugins() -> bool:
-    """Fast check: are plugins configured and available?"""
-    return _plugins_enabled
-
-def get_plugin_manager() -> PluginManager | None:
-    """Returns the initialized PluginManager, or None if plugins are not configured."""
-    return _plugin_manager
-
-def ensure_plugin_manager() -> PluginManager:
-    """Lazily initialize the PluginManager if not already created."""
-    global _plugin_manager, _plugins_enabled
-    if _plugin_manager is None:
-        register_mellea_hooks()
-        pm = PluginManager(
-            "",
-            timeout=5,
-            hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,
-        )
-        _run_async_in_thread(pm.initialize())
-        _plugin_manager = pm
-        _plugins_enabled = True
-    return _plugin_manager
-
-async def initialize_plugins(
-    config_path: str | None = None, *, timeout: float = 5.0
-) -> PluginManager:
-    """Initialize the PluginManager with Mellea hook registrations and optional YAML config."""
-    global _plugin_manager, _plugins_enabled
-    register_mellea_hooks()
-    pm = PluginManager(
-        config_path or "",
-        timeout=int(timeout),
-        hook_policies=MELLEA_HOOK_PAYLOAD_POLICIES,
-    )
-    await pm.initialize()
-    _plugin_manager = pm
-    _plugins_enabled = True
-    return pm
-
-async def shutdown_plugins() -> None:
-    """Shut down the PluginManager."""
-    global _plugin_manager, _plugins_enabled, _session_tags
-    if _plugin_manager is not None:
-        await _plugin_manager.shutdown()
-    _plugin_manager = None
-    _plugins_enabled = False
-    _session_tags.clear()
-```
-
-### 4.2 `invoke_hook()` Central Helper
-
-All hook call sites use this single function. Three layers of no-op guards ensure zero overhead when plugins are not configured:
-
-1. **`_plugins_enabled` boolean** — module-level, a single pointer dereference
-2. **`has_hooks_for(hook_type)`** — skips invocation when no plugin subscribes to this hook
-3. **Returns `(None, original_payload)` immediately** when either guard fails
-
-The wrapper accepts only `backend` and optional `**context_fields` as kwargs. Domain-specific data (context, session, action, etc.) belongs on the typed payload, not on the invocation kwargs.
-
-```python
-async def invoke_hook(
-    hook_type: HookType,
-    payload: MelleaBasePayload,
-    *,
-    backend: Backend | None = None,
-    **context_fields,
-) -> tuple[PluginResult | None, MelleaBasePayload]:
-    """Invoke a hook if plugins are configured.
-
-    Returns (result, possibly-modified-payload).
-    If plugins are not configured, returns (None, original_payload) immediately.
-    """
-    if not _plugins_enabled or _plugin_manager is None:
-        return None, payload
-
-    if not _plugin_manager.has_hooks_for(hook_type.value):
-        return None, payload
-
-    # Payloads are frozen — use model_copy to set dispatch-time fields
-    updates: dict[str, Any] = {"hook": hook_type.value}
-    payload = payload.model_copy(update=updates)
-
-    global_ctx = build_global_context(backend=backend, **context_fields)
-
-    result, _ = await _plugin_manager.invoke_hook(
-        hook_type=hook_type.value,
-        payload=payload,
-        global_context=global_ctx,
-        violations_as_exceptions=False,
-    )
-
-    modified = result.modified_payload if result and result.modified_payload else payload
-    return result, modified
-```
-
-### 4.3 Session-Scoped Registration
-
-`start_session()` in `mellea/stdlib/session.py` gains an optional `plugins` keyword parameter:
-
-```python
-def start_session(
-    ...,
-    plugins: list[Callable | Any | PluginSet] | None = None,
-) -> MelleaSession:
-```
-
-When `plugins` is provided, `start_session()` registers each item with the session's ID via `register(items, session_id=session.id)`. These plugins fire only within this session, in addition to any globally registered plugins. They are automatically deregistered when the session is cleaned up (at `session_cleanup`).
-
-### 4.4 With-Block-Scoped Registration (Context Managers)
-
-Both plugin forms — standalone `@hook` functions and `Plugin` subclass instances — plus `PluginSet` support the Python context manager protocol for block-scoped activation. This is a fourth registration scope complementing global, session-scoped, and YAML-configured plugins.
-
-#### Mechanism
-
-With-block scopes reuse the existing `session_id` tagging infrastructure from section 4.3. Each `with` entry generates a fresh UUID scope ID, registers plugins with that scope ID, and deregisters them by scope ID on exit. The `_session_tags` dict in `manager.py` tracks these scope IDs alongside session IDs — the manager makes no distinction between them at dispatch time.
-
-#### `plugin_scope()` factory (`mellea/plugins/registry.py`)
-
-A `_PluginScope` internal class and `plugin_scope()` public factory serve as the universal entry point, accepting any mix of standalone functions, `Plugin` instances, and `PluginSet`s:
-
-```python
-class _PluginScope:
-    """Context manager that activates a set of plugins for a block of code."""
-
-    def __init__(self, items: list[Callable | Any | PluginSet]) -> None:
-        self._items = items
-        self._scope_id: str | None = None
-
-    def _activate(self) -> None:
-        self._scope_id = str(uuid.uuid4())
-        register(self._items, session_id=self._scope_id)
-
-    def _deactivate(self) -> None:
-        if self._scope_id is not None:
-            deregister_session_plugins(self._scope_id)
-            self._scope_id = None
-
-    def __enter__(self) -> _PluginScope:
-        self._activate()
-        return self
-
-    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-        self._deactivate()
-
-    async def __aenter__(self) -> _PluginScope:
-        self._activate()
-        return self
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-        self._deactivate()
-
-
-def plugin_scope(*items: Callable | Any | PluginSet) -> _PluginScope:
-    """Create a context manager that activates the given plugins for a block of code."""
-    return _PluginScope(list(items))
-```
-
-#### `Plugin` subclass instances (`mellea/plugins/base.py`)
-
-The `Plugin` base class provides `__enter__`, `__exit__`, `__aenter__`, `__aexit__` directly. The context-manager methods delegate to module-level helpers:
-
-```python
-def _plugin_cm_enter(self: Any) -> Any:
-    if getattr(self, "_scope_id", None) is not None:
-        meta = getattr(type(self), "_mellea_plugin_meta", None)
-        plugin_name = meta.name if meta else type(self).__name__
-        raise RuntimeError(
-            f"Plugin {plugin_name!r} is already active as a context manager. "
-            "Concurrent or nested reuse of the same instance is not supported; "
-            "create a new instance instead."
-        )
-    self._scope_id = str(uuid.uuid4())
-    register(self, session_id=self._scope_id)
-    return self
-
-
-def _plugin_cm_exit(self: Any, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
-    scope_id = getattr(self, "_scope_id", None)
-    if scope_id is not None:
-        deregister_session_plugins(scope_id)
-        self._scope_id = None
-
-
-class Plugin:
-    def __init_subclass__(cls, *, name: str = "", priority: int = 50, **kwargs):
-        super().__init_subclass__(**kwargs)
-        if name:
-            cls._mellea_plugin_meta = PluginMeta(name=name, priority=priority)
-
-    def __enter__(self) -> Any:
-        return _plugin_cm_enter(self)
-
-    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-        _plugin_cm_exit(self, exc_type, exc_val, exc_tb)
-
-    async def __aenter__(self) -> Any:
-        return self.__enter__()
-
-    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-        self.__exit__(exc_type, exc_val, exc_tb)
-```
-
-#### `PluginSet` (`mellea/plugins/pluginset.py`)
-
-`PluginSet` gains the same context manager protocol using the same UUID scope ID pattern:
-
-```python
-def __enter__(self) -> PluginSet:
-    if self._scope_id is not None:
-        raise RuntimeError(
-            f"PluginSet {self.name!r} is already active as a context manager. "
-            "Create a new instance to use in a separate scope."
-        )
-    self._scope_id = str(uuid.uuid4())
-    register(self, session_id=self._scope_id)
-    return self
-
-def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-    if self._scope_id is not None:
-        deregister_session_plugins(self._scope_id)
-        self._scope_id = None
-
-async def __aenter__(self) -> PluginSet:
-    return self.__enter__()
-
-async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-    self.__exit__(exc_type, exc_val, exc_tb)
-```
-
-#### `MelleaPlugin` (`mellea/plugins/base.py`)
-
-`MelleaPlugin` also supports the context manager protocol. Because `MelleaPlugin` subclasses CPEX `Plugin` (which owns `__init__`), the scope ID is stored as an instance attribute accessed via `getattr` with a default rather than declared in `__init__`:
-
-```python
-def __enter__(self) -> MelleaPlugin:
-    if getattr(self, "_scope_id", None) is not None:
-        raise RuntimeError(
-            f"MelleaPlugin {self.name!r} is already active as a context manager. "
-            "Create a new instance to use in a separate scope."
-        )
-    self._scope_id = str(uuid.uuid4())
-    register(self, session_id=self._scope_id)
-    return self
-
-def __exit__(self, exc_type, exc_val, exc_tb) -> None:
-    scope_id = getattr(self, "_scope_id", None)
-    if scope_id is not None:
-        deregister_session_plugins(scope_id)
-        self._scope_id = None
-
-async def __aenter__(self) -> MelleaPlugin:
-    return self.__enter__()
-
-async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
-    self.__exit__(exc_type, exc_val, exc_tb)
-```
-
-#### Deregistration helper (`mellea/plugins/manager.py`)
-
-A `deregister_session_plugins(scope_id)` function removes all plugins tagged with a given scope ID from the `PluginManager` and cleans up the `_session_tags` entry. This is the same function used by `session_cleanup` to deregister session-scoped plugins:
-
-```python
-def deregister_session_plugins(session_id: str) -> None:
-    """Deregister all plugins associated with a given session or scope ID."""
-    pm = _plugin_manager
-    if pm is None:
-        return
-    plugin_keys = _session_tags.pop(session_id, set())
-    for key in plugin_keys:
-        pm.deregister(key)
-```
-
-#### Public API
-
-`plugin_scope` is exported from `mellea.plugins`:
-
-```python
-from mellea.plugins import plugin_scope
-```
-
-All three forms (`plugin_scope`, `Plugin` subclass instance, `PluginSet`) support both `with` and `async with`. `MelleaPlugin` instances also support the protocol for advanced use cases. The same-instance re-entrant restriction applies to all forms: attempting to re-enter an already-active instance raises `RuntimeError`. Create separate instances to activate the same plugin logic in nested or concurrent scopes.
-
-### 4.5 Dependency Management
-
-Add to `pyproject.toml` under `[project.optional-dependencies]`:
-
-```toml
-plugins = ["contextforge-plugin-framework>=0.1.0"]
-```
-
-All imports in `mellea/plugins/` are guarded with `try/except ImportError`.
-
-### 4.6 Global Registration (`mellea/plugins/registry.py`)
-
-Global registration happens via `register()` at application startup:
-
-```python
-def register(
-    items: Callable | Any | PluginSet | list[Callable | Any | PluginSet],
-    *,
-    session_id: str | None = None,
-) -> None:
-    """Register plugins globally or for a specific session.
-
-    When session_id is None, plugins are global (fire for all invocations).
-    When session_id is provided, plugins fire only within that session.
-
-    Accepts standalone @hook functions, Plugin subclass instances,
-    MelleaPlugin instances, PluginSets, or lists thereof.
-    """
-    pm = ensure_plugin_manager()
-
-    if not isinstance(items, list):
-        items = [items]
-
-    for item in items:
-        if isinstance(item, PluginSet):
-            for flattened_item, priority_override in item.flatten():
-                _register_single(pm, flattened_item, session_id, priority_override)
-        else:
-            _register_single(pm, item, session_id, None)
-
-
-def _register_single(
-    pm: PluginManager,
-    item: Callable | Any,
-    session_id: str | None,
-    priority_override: int | None,
-) -> None:
-    """Register a single hook function or plugin instance.
-
-    - Standalone functions with _mellea_hook_meta: wrapped in _FunctionHookAdapter
-    - Plugin subclass instances (with _mellea_plugin_meta): methods with _mellea_hook_meta discovered and wrapped in _ClassPluginAdapter
-    - MelleaPlugin instances: registered directly with CPEX
-    """
-    ...
-```
-
-A `_FunctionHookAdapter` internal class wraps a standalone `@hook`-decorated function into a CPEX `Plugin` for the `PluginManager`. A `_ClassPluginAdapter` wraps `Plugin` subclass instances similarly, discovering all `@hook`-decorated methods:
-
-```python
-class _FunctionHookAdapter(Plugin):
-    """Adapts a standalone @hook-decorated function into a CPEX Plugin."""
-
-    def __init__(self, fn: Callable, session_id: str | None = None):
-        meta = fn._mellea_hook_meta
-        config = PluginConfig(
-            name=fn.__qualname__,
-            kind=fn.__module__ + "." + fn.__qualname__,
-            hooks=[meta.hook_type],
-            mode=_map_mode(meta.mode),
-            priority=meta.priority,
-        )
-        super().__init__(config)
-        self._fn = fn
-        self._session_id = session_id
-
-    async def initialize(self):
-        pass
-
-    async def shutdown(self):
-        pass
-```
-
-## 5. Hook Call Sites
-
-**Session context threading**: All `invoke_hook` calls pass `session_id` when operating within a session. For the functional API path, `session_id` is `None` and only globally registered plugins are dispatched. Session-scoped plugins (registered via `start_session(plugins=[...])`) fire only when the dispatch context matches their session ID.
-
-### 5.1 Session Lifecycle
-
-**File**: `mellea/stdlib/session.py`
-
-`start_session()` gains the `plugins` parameter for session-scoped registration:
-
-```python
-def start_session(
-    backend_name: ... = "ollama",
-    model_id: ... = IBM_GRANITE_4_MICRO_3B,
-    ctx: Context | None = None,
-    *,
-    model_options: dict | None = None,
-    plugins: list[Callable | Any | PluginSet] | None = None,
-    **backend_kwargs,
-) -> MelleaSession:
-```
-
-Session-scoped plugins passed via `plugins=[...]` are registered with this session's ID and deregistered at `session_cleanup`.
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `session_pre_init` | `start_session()`, before `backend_class(model_id, ...)` (~L163) | Before backend instantiation | Supports payload modification: updated `model_options`, `model_id`. Violation blocks session creation. |
-| `session_post_init` | `start_session()`, after `MelleaSession(backend, ctx)` (~L191) | Session fully created | Observability-only. |
-| `session_reset` | `MelleaSession.reset()`, before `self.ctx.reset_to_new()` (~L269) | Context about to reset | Observability-only. |
-| `session_cleanup` | `MelleaSession.cleanup()`, at top of method (~L272) | Before teardown | Observability-only. Must not raise. Deregisters session-scoped plugins. |
-
-**Sync/async bridge**: These are sync methods. Use `_run_async_in_thread(invoke_hook(...))` from `mellea/helpers/__init__.py`.
-
-**Payload examples**:
-
-```python
-# session_pre_init
-SessionPreInitPayload(
-    backend_name=backend_name,
-    model_id=str(model_id),
-    model_options=model_options,
-    context_type=type(ctx).__name__ if ctx else "SimpleContext",
-)
-
-# session_post_init
-SessionPostInitPayload(session=session)
-
-# session_cleanup
-SessionCleanupPayload(
-    context=self.ctx,
-    interaction_count=len(self.ctx.as_list()),
-)
-```
-
-### 5.2 Component Lifecycle
-
-**Files**: `mellea/stdlib/components/instruction.py` (`Instruction.__init__`), `mellea/stdlib/components/chat.py` (`Message.__init__`), `mellea/stdlib/functional.py` (`aact()`)
-
-> **`component_pre_create` and `component_post_create` are deferred.** These hooks are not implemented in this iteration. See the discussion note at the end of this section.
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `component_pre_create` | *(deferred — not implemented)* | — | — |
-| `component_post_create` | *(deferred — not implemented)* | — | — |
-| `component_pre_execute` | `aact()`, at top before strategy branch (~L492) | Before generation begins | Supports `model_options`, `requirements`, `strategy`, `format`, `tool_calls_enabled` modification. Violation blocks execution. |
-| `component_post_success` | `aact()`, after result in both branches (~L506, ~L534) | Successful execution | Observability-only. |
-| `component_post_error` | `aact()`, in new `try/except Exception` wrapping the body | Exception during execution | Observability-only. Always re-raises after hook. |
-
-**Key changes to `aact()`**:
-- Add `time.monotonic()` at entry for latency measurement
-- Wrap body (lines ~492–546) in `try/except Exception`
-- `except` handler: fire `component_post_error` then `error_occurred`, then re-raise
-- Insert `component_post_success` before each `return` path
-
-> **Discussion — why `component_pre_create` and `component_post_create` are deferred:**
->
-> `Component` is currently a `Protocol`, not an abstract base class. Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations. Calling hooks manually inside `Instruction.__init__` and `Message.__init__` works for those classes, but it is fragile (any user-defined `Component` subclass is invisible) and requires per-class boilerplate.
->
-> If `Component` were refactored to an abstract base class, the ABC could wrap `__init__` and fire these hooks generically for every subclass. Until that refactoring is decided, these hook types are excluded from the active hook system: they are not in `HookType`, have no payload classes, no registered call sites, and no tests. The hook names and payload designs remain documented here for when the refactoring occurs. Use `component_pre_execute` for pre-execution interception in the meantime.
-
-**Sync/async bridge for PRE/POST_CREATE** *(relevant if/when these hooks are implemented)*: `Instruction.__init__` and `Message.__init__` are synchronous. Use `_run_async_in_thread(invoke_hook(...))` from `mellea/helpers/__init__.py`. `backend` and `context` are `None`.
-
-**Payload examples**:
-
-```python
-# component_pre_create (Instruction case — inside Instruction.__init__, before attrs)
-ComponentPreCreatePayload(
-    component_type="Instruction",
-    description=description,
-    images=images,
-    requirements=requirements,
-    icl_examples=icl_examples,
-    grounding_context=grounding_context,
-    user_variables=user_variables,
-    prefix=prefix,
-)
-
-# component_pre_execute
-ComponentPreExecutePayload(
-    component_type=type(action).__name__,
-    action=action,
-    context=context,
-    requirements=requirements or [],
-    model_options=model_options or {},
-    format=format,
-    strategy_name=type(strategy).__name__ if strategy else None,
-    tool_calls_enabled=tool_calls,
-)
-
-# component_post_success
-ComponentPostSuccessPayload(
-    component_type=type(action).__name__,
-    action=action,
-    result=result,
-    context_before=context,
-    context_after=new_ctx,
-    generate_log=result._generate_log,
-    sampling_results=sampling_result if strategy else None,
-    latency_ms=int((time.monotonic() - t0) * 1000),
-)
-```
-
-### 5.3 Generation Pipeline
-
-**Approach**: `Backend.__init_subclass__` in `mellea/core/backend.py` automatically wraps `generate_from_context` in every concrete backend subclass that defines it. This avoids modifying all backend implementations (Ollama, OpenAI, HuggingFace, vLLM, Watsonx, LiteLLM) individually. No separate `generate_from_context_with_hooks()` method is added.
-
-The wrapper is injected at class definition time and applies to all current and future `Backend` subclasses transparently.
-
-**`generation_post_call` timing**: The post-call hook fires via an `_on_computed` callback set on the returned `ModelOutputThunk`:
-
-- **Lazy MOTs** (normal path): `_on_computed` fires inside `ModelOutputThunk.astream` after `post_process` completes, when the value is fully materialized. `latency_ms` reflects the full wall-clock time from the `generate_from_context` call to value availability. `model_output` replacement is supported — the original MOT's output fields are updated in-place via `_copy_from`.
-- **Already-computed MOTs** (e.g. cached responses or test mocks): `astream` returns early without firing `_on_computed`, so the hook is fired inline before the wrapper returns. `model_output` replacement is supported on this path.
-
-**Writable fields applied from `generation_pre_call`**: `model_options`, `format`, `tool_calls`.
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `generation_pre_call` | `Backend.__init_subclass__` wrapper, before `generate_from_context` delegate | Before LLM API call | Supports `model_options`, `format`, `tool_calls` modification. Violation blocks (e.g., token budget exceeded). |
-| `generation_post_call` | Via `_on_computed` callback on `ModelOutputThunk` (lazy path), or inline before return (already-computed path) | After output fully materialized | Observability-only. |
-| `generation_stream_chunk` | **Deferred** — requires hooks in `ModelOutputThunk.astream()` streaming path | Per streaming chunk | Fire-and-forget to avoid slowing streaming. |
-
-### 5.4 Validation
-
-**File**: `mellea/stdlib/functional.py`, in `avalidate()` (~L699–753)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `validation_pre_check` | After `reqs` prepared (~L713), before validation loop | Before validation | Supports `requirements` list modification (inject/filter). |
-| `validation_post_check` | After all validations, before `return rvs` (~L753) | After validation | Supports `results` override. Primarily observability. |
-
-**Payload examples**:
-
-```python
-# validation_pre_check
-ValidationPreCheckPayload(
-    requirements=reqs,
-    target=output,
-    context=context,
-    model_options=model_options or {},
-)
-
-# validation_post_check
-ValidationPostCheckPayload(
-    requirements=reqs,
-    results=rvs,
-    all_validations_passed=all(bool(r) for r in rvs),
-    passed_count=sum(1 for r in rvs if bool(r)),
-    failed_count=sum(1 for r in rvs if not bool(r)),
-)
-```
-
-### 5.5 Sampling Pipeline
-
-**File**: `mellea/stdlib/sampling/base.py`, in `BaseSamplingStrategy.sample()` (~L94–256)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `sampling_loop_start` | Before `for` loop (~L157) | Loop begins | Supports `loop_budget` modification. |
-| `sampling_iteration` | Inside loop, after validation (~L192) | Each iteration | Observability. Violation can force early termination. |
-| `sampling_repair` | After `self.repair()` call (~L224) | Repair invoked | Observability-only. |
-| `sampling_loop_end` | Before return in success (~L209) and failure (~L249) paths | Loop ends | Observability-only. |
-
-**Additional change**: Add `_get_repair_type() -> str` method to each sampling strategy subclass:
-
-| Strategy Class | Repair Type |
-|---|---|
-| `RejectionSamplingStrategy` | `"identity"` |
-| `RepairTemplateStrategy` | `"template_repair"` |
-| `MultiTurnStrategy` | `"multi_turn_message"` |
-| `SOFAISamplingStrategy` | `"sofai_feedback"` |
-
-**Payload examples**:
-
-```python
-# sampling_loop_start
-SamplingLoopStartPayload(
-    strategy_name=type(self).__name__,
-    action=action,
-    context=context,
-    requirements=reqs,
-    loop_budget=self.loop_budget,
-)
-
-# sampling_repair
-SamplingRepairPayload(
-    repair_type=self._get_repair_type(),
-    failed_action=sampled_actions[-1],
-    failed_result=sampled_results[-1],
-    failed_validations=sampled_scores[-1],
-    repair_action=next_action,
-    repair_context=next_context,
-    repair_iteration=loop_count,
-)
-```
-
-### 5.6 Tool Execution
-
-**File**: `mellea/stdlib/functional.py`, in the `_call_tools()` helper (~L904)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `tool_pre_invoke` | Before `tool.call_func()` (~L917) | Before tool call | Supports `model_tool_call` replacement. Violation blocks tool call. |
-| `tool_post_invoke` | After `tool.call_func()` (~L919) | After tool call | Supports `tool_output` modification. Primarily observability. |
-
-### 5.7 Backend Adapter Operations
-
-**Files**: `mellea/backends/openai.py` (`load_adapter` ~L907, `unload_adapter` ~L944), `mellea/backends/huggingface.py` (`load_adapter` ~L1192, `unload_adapter` ~L1224)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `adapter_pre_load` | Start of `load_adapter()` | Before adapter load | Violation prevents loading. |
-| `adapter_post_load` | End of `load_adapter()` | After adapter loaded | Observability. |
-| `adapter_pre_unload` | Start of `unload_adapter()` | Before adapter unload | Violation prevents unloading. |
-| `adapter_post_unload` | End of `unload_adapter()` | After adapter unloaded | Observability. |
-
-**Sync/async bridge**: Adapter methods are synchronous. Use `_run_async_in_thread(invoke_hook(...))`.
-
-### 5.8 Context Operations
-
-**Files**: `mellea/stdlib/context.py` (`ChatContext.add()` ~L17, `SimpleContext.add()` ~L31)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `context_update` | After `from_previous()` in `add()` | Context appended | Observability-only (context is immutable). |
-| `context_prune` | `ChatContext.view_for_generation()` when window truncates | Context windowed | Observability-only. |
-
-**Performance note**: `context_update` fires on every context addition, which is frequent. The `has_hooks_for()` guard is critical — when no plugin subscribes to `context_update`, the overhead is a single boolean check.
-
-### 5.9 Error Handling
-
-**File**: `mellea/stdlib/functional.py` (utility function callable from any error path)
-
-| Hook | Location | Trigger | Result Handling |
-|------|----------|---------|-----------------|
-| `error_occurred` | `aact()` except block + utility `fire_error_hook()` | Unrecoverable error | Observability-only. Must never raise from own execution. |
-
-**Fires for**: `ComponentParseError`, backend communication errors, assertion violations, unhandled exceptions during component execution, validation, or tool invocation.
-
-**Does NOT fire for**: Validation failures within sampling loops (handled by `sampling_iteration`/`sampling_repair`), controlled `PluginViolation` blocks (those are policy decisions, not errors).
-
-**Utility function**:
-
-```python
-async def fire_error_hook(
-    error: Exception,
-    location: str,
-    *,
-    session=None, backend=None, context=None, action=None,
-) -> None:
-    """Fire the error_occurred hook. Never raises."""
-    try:
-        payload = ErrorOccurredPayload(
-            error=error,
-            error_type=type(error).__name__,
-            error_location=location,
-            stack_trace=traceback.format_exc(),
-            recoverable=False,
-            action=action,
-        )
-        await invoke_hook(
-            HookType.ERROR_OCCURRED, payload,
-            session=session, backend=backend, context=context,
-            violations_as_exceptions=False,
-        )
-    except Exception:
-        pass  # Never propagate errors from error hook
-```
-
-
-## 8. Modifications Summary
-
-| File | Changes |
-|------|---------|
-| `mellea/stdlib/components/instruction.py` | `COMPONENT_PRE_CREATE` (before attr assignment) and `COMPONENT_POST_CREATE` (after attr assignment) hooks in `Instruction.__init__` |
-| `mellea/stdlib/components/chat.py` | Same PRE/POST_CREATE hooks in `Message.__init__` |
-| `mellea/stdlib/functional.py` | Component execute/success/error hooks in `aact()`; validation and tool hooks |
-| `mellea/stdlib/session.py` | 4 session hooks + `plugins` param on `start_session()` + session-scoped plugin registration/deregistration |
-| `mellea/stdlib/sampling/base.py` | 4 sampling hooks |
-| `mellea/core/backend.py` | `Backend.__init_subclass__` wraps `generate_from_context` in all subclasses, injecting `GENERATION_PRE_CALL` and `GENERATION_POST_CALL` hooks; post-call hook fires via `_on_computed` callback on the returned `ModelOutputThunk` |
-| `mellea/stdlib/context.py` | 2 context operation hooks in `ChatContext.add()`, `SimpleContext.add()` |
-| `mellea/backends/openai.py` | 4 adapter hooks in `load_adapter()` / `unload_adapter()` |
-| `mellea/backends/huggingface.py` | 4 adapter hooks in `load_adapter()` / `unload_adapter()` |
-| `pyproject.toml` | Add `plugins` optional dependency + `plugins` test marker |
-| `mellea/plugins/__init__.py` (new) | Public API: `Plugin`, `hook`, `block`, `PluginSet`, `register`, `plugin_scope`, `PluginMode`, `HookType`, `PluginResult`, `PluginViolationError` |
-| `mellea/plugins/decorators.py` (new) | `@hook` decorator implementation, `HookMeta` |
-| `mellea/plugins/pluginset.py` (new) | `PluginSet` class with `flatten()` for recursive expansion; context manager protocol for with-block scoping |
-| `mellea/plugins/registry.py` (new) | `register()`, `block()`, `_FunctionHookAdapter`, `_ClassPluginAdapter`, `_register_single()`; `_PluginScope` class and `plugin_scope()` factory for with-block scoping |
-| `mellea/plugins/manager.py` (new) | Singleton wrapper, `invoke_hook()` with session-tag filtering, `ensure_plugin_manager()`; `deregister_session_plugins()` for scope cleanup (used by both session and with-block exit) |
-| `mellea/plugins/base.py` (new) | `Plugin` base class (lightweight, no cpex dep) with `__init_subclass__` and context manager protocol; `PluginMeta`; `MelleaBasePayload` (frozen); `MelleaPlugin` (advanced cpex-based class); `PluginViolationError` |
-| `mellea/plugins/types.py` (new) | `HookType` enum, `PluginMode` enum, `register_mellea_hooks()` |
-| `mellea/plugins/policies.py` (new) | `MELLEA_HOOK_PAYLOAD_POLICIES` table, injected into `PluginManager` at init |
-| `mellea/plugins/context.py` (new) | `build_global_context()` factory |
-| `mellea/plugins/hooks/` (new) | Hook payload dataclasses (session, component, generation, etc.) |
-| `test/plugins/` (new) | Tests for plugins subpackage |
-
-> Note: + update docs and add examples.
diff --git a/docs/docs/core-concept/plugins.mdx b/docs/docs/core-concept/plugins.mdx
deleted file mode 100644
index a7543624e..000000000
--- a/docs/docs/core-concept/plugins.mdx
+++ /dev/null
@@ -1,970 +0,0 @@
----
-title: "Plugins & Hooks"
-description: "Intercept and customize Mellea's execution pipeline with plugins — enforce policies, add observability, and transform payloads at well-defined hook points."
-sidebarTitle: "Plugins & Hooks"
----
-
-## Overview — What Are Plugins?
-
-Plugins let you intercept and modify Mellea's execution at well-defined points without changing library code. Whether you need to enforce token budgets, redact PII, log every generation call, or block unsafe tool invocations, plugins give you fine-grained control over the entire pipeline.
-
-When an event fires during Mellea's execution (e.g., "about to call the LLM" or "tool invocation requested"), the plugin system:
-
-1. **Dispatches a typed payload** describing the event to all registered plugins
-2. **Runs plugins in priority order**, grouped by execution mode
-3. **Returns a result** — continue unchanged, continue with a modified payload, or block execution entirely
-
-Plugins are organized into six hook categories:
-
-- **Session Lifecycle** — session init, reset, and cleanup (`session_pre_init`, `session_post_init`, `session_reset`, `session_cleanup`)
-- **Component Lifecycle** — before and after component execution (`component_pre_execute`, `component_post_success`, `component_post_error`)
-- **Generation Pipeline** — before and after LLM calls (`generation_pre_call`, `generation_post_call`)
-- **Validation** — before and after requirement checks (`validation_pre_check`, `validation_post_check`)
-- **Sampling Pipeline** — sampling loop events (`sampling_loop_start`, `sampling_iteration`, `sampling_repair`, `sampling_loop_end`)
-- **Tool Execution** — before and after tool invocations (`tool_pre_invoke`, `tool_post_invoke`)
-
-<Note>
-Plugins require the hooks extra: `pip install 'mellea[hooks]'`
-</Note>
-
----
-
-## Quick Start — Your First Plugin in 5 Minutes
-
-Here is a complete, working plugin in under 20 lines of user code. It logs a one-line summary before every LLM call.
-
-```python
-## file: https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/quickstart.py
-import logging
-
-from mellea import start_session
-from mellea.plugins import HookType, hook, register
-
-log = logging.getLogger("quickstart")
-
-@hook(HookType.GENERATION_PRE_CALL)
-async def log_generation(payload, ctx):
-    """Log a one-line summary before every LLM call."""
-    action_preview = str(payload.action)[:80].replace("\n", " ")
-    log.info("[log_generation] About to call LLM: %r", action_preview)
-
-register(log_generation)
-
-with start_session() as m:
-    result = m.instruct("What is the capital of France?")
-    log.info("Result: %s", result)
-```
-
-Every hook function receives two arguments:
-
-- **`payload`** — A frozen, typed object containing all the data relevant to this hook point. You can read any field but cannot mutate it directly.
-- **`ctx`** — Read-only context with session metadata (backend name, model ID, etc.).
-
-A hook returns either `None` (continue unchanged) or a `PluginResult` (to modify the payload or block execution). The quickstart hook returns `None` implicitly, as it observes without interfering.
-
-See the [full example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/quickstart.py).
-
----
-
-## Standalone Function Hooks
-
-The `@hook` decorator turns any async function into a plugin. This is the simplest and most common way to extend Mellea.
-
-### Anatomy of a Hook Function
-
-```python
-from mellea.plugins import HookType, PluginMode, hook
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def my_hook(payload, ctx):
-    # payload: frozen, typed — read any field
-    # ctx: read-only metadata (backend, model_id, etc.)
-    # return None to pass through, or a PluginResult to modify/block
-    pass
-```
-
-- **`hook_type`** — Which event to listen for (e.g., `HookType.GENERATION_PRE_CALL`).
-- **`mode`** — How the hook executes. Default: `PluginMode.SEQUENTIAL`. See [Execution Modes Deep Dive](#execution-modes-deep-dive).
-- **`priority`** — Lower numbers run first. Default: `50`.
-
-### Execution Modes at a Glance
-
-| Mode | Serial/Parallel | Can Block | Can Modify | Errors Propagated |
-|------|:-:|:-:|:-:|:-:|
-| `SEQUENTIAL` | Serial | Yes | Yes | Yes |
-| `TRANSFORM` | Serial | No | Yes | Yes |
-| `AUDIT` | Serial | No | No | Yes |
-| `CONCURRENT` | Parallel | Yes | No | Yes |
-| `FIRE_AND_FORGET` | Background | No | No | No |
-
-### Blocking Execution
-
-Use `block()` to reject an operation. The caller receives a `PluginViolationError`.
-
-```python
-from mellea.plugins import HookType, PluginMode, block, hook
-
-TOKEN_BUDGET = 4000
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    estimated = estimate_tokens(payload)
-    if estimated > TOKEN_BUDGET:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
-            code="TOKEN_BUDGET_001",
-            details={"estimated": estimated, "budget": TOKEN_BUDGET},
-        )
-```
-
-`block()` accepts:
-- **`reason`** (required) — Human-readable explanation.
-- **`code`** — Machine-readable error code for programmatic handling.
-- **`details`** — A dict with additional structured data.
-
-The caller catches the violation as a `PluginViolationError` with `.reason`, `.code`, `.hook_type`, and `.plugin_name` attributes.
-
-### Modifying Payloads
-
-Payloads are frozen Pydantic models. Direct mutation raises `FrozenModelError`. Instead, use the `modify()` helper:
-
-```python
-from mellea.plugins import HookType, PluginMode, hook, modify
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def cap_max_tokens(payload, ctx):
-    opts = dict(payload.model_options or {})
-    if opts.get("max_tokens", float("inf")) > 256:
-        opts["max_tokens"] = 256
-        return modify(payload, model_options=opts)
-```
-
-For more control, use `model_copy(update={...})` directly and return a `PluginResult`:
-
-```python
-from mellea.plugins import PluginResult
-
-modified = payload.model_copy(update={"model_options": {**payload.model_options, "max_tokens": 256}})
-return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-### Payload Policies
-
-Each hook type declares which fields are writable. Changes to non-writable fields are **silently discarded** by the framework. For example, `generation_pre_call` allows modifying `model_options`, `format`, and `tool_calls`, but not `action` or `context`. This ensures plugins cannot make changes the framework hasn't sanctioned.
-
-See the [full policy table](#hook-payload-policy-table) in the Hook Types Reference.
-
-See the [standalone hooks example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/standalone_hooks.py) and the [payload modification example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/payload_modification.py).
-
----
-
-## Class-Based Plugins
-
-When you need shared state across multiple hooks (e.g., a redaction counter, a rate limiter's token bucket), group them in a `Plugin` subclass.
-
-### When to Use a Class vs. Standalone Functions
-
-- **Standalone functions** — Best for single-concern hooks that don't share state.
-- **Class-based plugins** — Best when multiple hooks operate on a shared concern and need access to the same instance state.
-
-### Defining a Plugin
-
-```python
-from mellea.plugins import Plugin, hook, modify, HookType
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    def __init__(self, patterns=None):
-        self.patterns = patterns or [r"\d{3}-\d{2}-\d{4}"]
-        self.redaction_count = 0
-
-    @hook(HookType.COMPONENT_PRE_EXECUTE)
-    async def redact_input(self, payload, ctx):
-        """Scan input for PII and redact before it reaches the LLM."""
-        # self.patterns, self.redaction_count available here
-        ...
-
-    @hook(HookType.GENERATION_POST_CALL)
-    async def redact_output(self, payload, ctx):
-        """Scan LLM output for PII and redact before returning."""
-        ...
-```
-
-Key syntax:
-- Inherit from `Plugin` and set `name` and `priority` as class keyword arguments.
-- Decorate methods with `@hook(HookType.XXX)`. The `self` parameter gives access to shared state.
-- The class `priority` is the default for all methods. Override per-method with `@hook(HookType.XXX, priority=M)`.
-
-### Priority Resolution
-
-Priority is resolved in this order (highest precedence first):
-
-1. **`PluginSet(priority=N)`** override — applies to all items in the set
-2. **`@hook(priority=M)`** on the method — overrides the class default
-3. **`Plugin(priority=N)`** class keyword — default for all methods
-4. **`50`** — the global default if nothing else is set
-
-### Registering a Plugin
-
-```python
-from mellea.plugins import register
-
-redactor = PIIRedactor()
-register(redactor)
-```
-
-See the [full PII redaction example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/class_plugin.py).
-
----
-
-## Registration & Scoping
-
-Plugins can be activated at three levels. Each level determines when hooks fire and when they are cleaned up.
-
-### Global Scope
-
-Register at module level, fires for every session and every functional API call.
-
-```python
-from mellea.plugins import register
-
-register(log_generation)          # single hook
-register([hook_a, hook_b])        # multiple hooks
-register(redactor)                # Plugin instance
-register(observability_set)       # PluginSet
-```
-
-Remove with `unregister()`:
-
-```python
-from mellea.plugins import unregister
-
-unregister(log_generation)
-```
-
-### Session Scope
-
-Pass plugins to `start_session()`, fires only within that session.
-
-```python
-from mellea import start_session
-
-with start_session(plugins=[enforce_content_policy, log_component]) as m:
-    result = m.instruct("Explain photosynthesis.")
-# plugins deregistered when session exits
-```
-
-### With-Block Scope
-
-Activate plugins for a specific block of code with guaranteed cleanup.
-
-**`plugin_scope()`:**
-
-```python
-from mellea.plugins import plugin_scope
-
-with plugin_scope(log_request, log_response, content_guard):
-    result = m.instruct("Name the planets.")
-# all three deregistered here
-```
-
-**`Plugin` instance as context manager:**
-
-```python
-guard = ContentGuard()
-with guard:
-    result = m.instruct("What is the boiling point of water?")
-# guard deregistered here
-```
-
-**`PluginSet` as context manager:**
-
-```python
-with observability:
-    result = m.instruct("What is the capital of France?")
-# observability hooks deregistered here
-```
-
-All three forms support `async with` for async code:
-
-```python
-async with plugin_scope(log_request, ContentGuard()):
-    result = await m.ainstruct("Describe the solar system.")
-```
-
-### Nesting
-
-Scopes stack cleanly. Each exit deregisters only its own plugins.
-
-```python
-with plugin_scope(log_request):               # outer scope
-    with ContentGuard() as guard:             # inner scope
-        result = m.instruct("...")            # log_request + guard active
-    result = m.instruct("...")                # only log_request active
-# no plugins active
-```
-
-### Cleanup Guarantee
-
-Plugins are always deregistered on scope exit, even if the block raises an exception. There is no resource leak on error.
-
-### Re-Entrant Restriction
-
-The same instance cannot be active in two overlapping scopes. Create separate instances if you need parallel or nested activation:
-
-```python
-guard1 = ContentGuard()
-guard2 = ContentGuard()  # separate instance
-
-with guard1:
-    with guard2:  # OK — different instances
-        ...
-```
-
-See the [scoped plugins example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/plugin_scoped.py) and the [session-scoped example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/session_scoped.py).
-
----
-
-## PluginSets — Composing Plugins
-
-A `PluginSet` groups related hooks and plugins into a reusable, named bundle. Use it to organize plugins by concern (security, observability, compliance) and register or scope them as a unit.
-
-### Creating a PluginSet
-
-```python
-from mellea.plugins import PluginSet
-
-security = PluginSet("security", [enforce_token_budget, enforce_description_length])
-observability = PluginSet("observability", [trace_session, trace_component, trace_cleanup])
-```
-
-A `PluginSet` accepts any mix of standalone `@hook` functions, `Plugin` instances, or nested `PluginSet`s.
-
-### Registering
-
-```python
-# Global
-register(observability)
-
-# Session-scoped
-with start_session(plugins=[security]) as m:
-    ...
-
-# With-block
-with security:
-    ...
-```
-
-### Priority Override
-
-`PluginSet(priority=N)` overrides the priority of all contained items, including nested sets:
-
-```python
-# All items in this set run at priority 1, regardless of their own priority settings
-critical = PluginSet("critical", [hook_a, hook_b, nested_set], priority=1)
-```
-
-### Real-World Pattern
-
-Register observability globally (fires everywhere) and security per-session (fires only where needed):
-
-```python
-register(observability)  # global
-
-with start_session(plugins=[security]) as m:
-    # both security and observability active
-    result = m.instruct("Name three prime numbers.")
-
-with start_session() as m:
-    # only observability active
-    result = m.instruct("What is 2 + 2?")
-```
-
-See the [full PluginSet composition example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/plugin_set_composition.py).
-
----
-
-## Hook Types Reference
-
-This section is a comprehensive reference for every implemented hook type. For each hook, you'll find when it fires, what payload fields are available, which fields are writable, and typical use cases.
-
-### Session Lifecycle
-
-#### `session_pre_init`
-
-**Fires:** Immediately when `start_session()` is called, before backend initialization.
-
-**Payload fields:** `backend_name`, `model_id`, `model_options`, `context_type`
-
-**Writable fields:** `model_id`, `model_options`
-
-**Use cases:**
-- Enforcing model usage restrictions
-- Injecting default model options
-
-```python
-@hook(HookType.SESSION_PRE_INIT)
-async def enforce_model_policy(payload, ctx):
-    if "gpt-4" in str(payload.model_id):
-        return block("GPT-4 usage not permitted", code="MODEL_POLICY")
-```
-
-#### `session_post_init`
-
-**Fires:** After the session is fully initialized, before any operations.
-
-**Payload fields:** `session` (the `MelleaSession` instance)
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Initializing telemetry for the session
-- Logging session configuration
-
-#### `session_reset`
-
-**Fires:** When `session.reset()` is called to clear context.
-
-**Payload fields:** `previous_context`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Preserving audit trails before reset
-- Resetting plugin-specific state
-
-#### `session_cleanup`
-
-**Fires:** When the session closes (via `close()`, `cleanup()`, or context manager exit).
-
-**Payload fields:** `context`, `interaction_count`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Flushing telemetry buffers
-- Aggregating session metrics
-
----
-
-### Component Lifecycle
-
-#### `component_pre_execute`
-
-**Fires:** Before any component is executed via `aact()`. This is the primary interception point for all generation requests.
-
-**Payload fields:** `component_type`, `action`, `context_view`, `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled`
-
-**Writable fields:** `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled`
-
-**Use cases:**
-- Policy enforcement on generation requests
-- Injecting or modifying model options
-- Content filtering and authorization checks
-- Routing to different sampling strategies
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=5)
-async def enforce_content_policy(payload, ctx):
-    desc = str(payload.action._description).lower()
-    if "financial advice" in desc:
-        return block("Restricted topic", code="CONTENT_001")
-```
-
-#### `component_post_success`
-
-**Fires:** After successful component execution.
-
-**Payload fields:** `component_type`, `action`, `result`, `context_before`, `context_after`, `generate_log`, `sampling_results`, `latency_ms`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Latency and metrics collection
-- Audit logging
-
-```python
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
-async def log_latency(payload, ctx):
-    log.info("component=%s latency=%dms", payload.component_type, payload.latency_ms)
-```
-
-#### `component_post_error`
-
-**Fires:** When component execution fails with an exception.
-
-**Payload fields:** `component_type`, `action`, `error`, `error_type`, `stack_trace`, `context`, `model_options`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Error logging and alerting
-- Failure analysis
-
----
-
-### Generation Pipeline
-
-#### `generation_pre_call`
-
-**Fires:** Just before the backend transmits data to the LLM API.
-
-**Payload fields:** `action`, `context`, `model_options`, `format`, `tool_calls`
-
-**Writable fields:** `model_options`, `format`, `tool_calls`
-
-**Use cases:**
-- Token budget enforcement
-- Prompt injection detection
-- Last-mile model option adjustments
-
-```python
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def cap_tokens(payload, ctx):
-    opts = dict(payload.model_options or {})
-    opts["max_tokens"] = min(opts.get("max_tokens", 4096), 256)
-    return modify(payload, model_options=opts)
-```
-
-#### `generation_post_call`
-
-**Fires:** After the LLM response is fully materialized (`model_output.value` is available).
-
-**Payload fields:** `prompt`, `model_output`, `latency_ms`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Output logging and inspection
-- Response caching
-- Quality metrics and hallucination detection
-
----
-
-### Validation
-
-#### `validation_pre_check`
-
-**Fires:** Before running requirement validation.
-
-**Payload fields:** `requirements`, `target`, `context`, `model_options`
-
-**Writable fields:** `requirements`, `model_options`
-
-**Use cases:**
-- Injecting additional requirements
-- Overriding validation model options
-
-#### `validation_post_check`
-
-**Fires:** After all validations complete.
-
-**Payload fields:** `requirements`, `results`, `all_validations_passed`, `passed_count`, `failed_count`, `generate_logs`
-
-**Writable fields:** `results`, `all_validations_passed`
-
-**Use cases:**
-- Logging validation outcomes
-- Overriding validation results
-- Triggering alerts on failures
-
----
-
-### Sampling Pipeline
-
-#### `sampling_loop_start`
-
-**Fires:** When a sampling strategy begins execution.
-
-**Payload fields:** `strategy_name`, `action`, `context`, `requirements`, `loop_budget`
-
-**Writable fields:** `loop_budget`
-
-**Use cases:**
-- Dynamically adjusting the iteration budget
-- Logging sampling configuration
-
-#### `sampling_iteration`
-
-**Fires:** After each sampling attempt.
-
-**Payload fields:** `iteration`, `action`, `result`, `validation_results`, `all_validations_passed`, `valid_count`, `total_count`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Iteration-level metrics
-- Debugging sampling behavior
-
-#### `sampling_repair`
-
-**Fires:** When repair is invoked after a validation failure.
-
-**Payload fields:** `repair_type`, `failed_action`, `failed_result`, `failed_validations`, `repair_action`, `repair_context`, `repair_iteration`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Analyzing failure patterns
-- Logging repair events
-
-#### `sampling_loop_end`
-
-**Fires:** When sampling completes (success or failure).
-
-**Payload fields:** `success`, `iterations_used`, `final_result`, `final_action`, `final_context`, `failure_reason`, `all_results`, `all_validations`
-
-**Writable fields:** *(observe-only)*
-
-**Use cases:**
-- Sampling effectiveness metrics
-- Cost tracking
-
----
-
-### Tool Execution
-
-#### `tool_pre_invoke`
-
-**Fires:** Before invoking a tool from LLM output.
-
-**Payload fields:** `model_tool_call` (contains `name`, `args`, `callable`)
-
-**Writable fields:** `model_tool_call`
-
-**Use cases:**
-- Tool authorization (allow-listing)
-- Argument validation and sanitization
-
-```python
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
-async def enforce_tool_allowlist(payload, ctx):
-    if payload.model_tool_call.name not in ALLOWED_TOOLS:
-        return block(f"Tool '{payload.model_tool_call.name}' not permitted", code="TOOL_NOT_ALLOWED")
-```
-
-#### `tool_post_invoke`
-
-**Fires:** After tool execution completes.
-
-**Payload fields:** `model_tool_call`, `tool_output`, `tool_message`, `execution_time_ms`, `success`, `error`
-
-**Writable fields:** `tool_output`
-
-**Use cases:**
-- Audit logging of tool calls
-- Output transformation
-- Error handling
-
----
-
-### Hook Payload Policy Table
-
-This table summarizes which fields are writable for each hook type. Changes to non-writable fields are silently discarded.
-
-| Hook Point | Writable Fields |
-|---|---|
-| `session_pre_init` | `model_id`, `model_options` |
-| `session_post_init` | *(observe-only)* |
-| `session_reset` | *(observe-only)* |
-| `session_cleanup` | *(observe-only)* |
-| `component_pre_execute` | `requirements`, `model_options`, `format`, `strategy`, `tool_calls_enabled` |
-| `component_post_success` | *(observe-only)* |
-| `component_post_error` | *(observe-only)* |
-| `generation_pre_call` | `model_options`, `format`, `tool_calls` |
-| `generation_post_call` | *(observe-only)* |
-| `validation_pre_check` | `requirements`, `model_options` |
-| `validation_post_check` | `results`, `all_validations_passed` |
-| `sampling_loop_start` | `loop_budget` |
-| `sampling_iteration` | *(observe-only)* |
-| `sampling_repair` | *(observe-only)* |
-| `sampling_loop_end` | *(observe-only)* |
-| `tool_pre_invoke` | `model_tool_call` |
-| `tool_post_invoke` | `tool_output` |
-
-<Warning>
-Only `SEQUENTIAL` and `TRANSFORM` modes can modify payloads. `AUDIT`, `CONCURRENT`, and `FIRE_AND_FORGET` modes have their modifications silently discarded regardless of the policy table.
-</Warning>
-
----
-
-## Execution Modes Deep Dive
-
-All hooks for a given hook type are sorted by priority, then dispatched in groups by execution mode. The execution order is always:
-
-**SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET**
-
-### SEQUENTIAL (default)
-
-Serial, chained execution. Each hook receives the payload from the prior hook. Can both **block** and **modify**. This is the default mode, use it when you need full control over the pipeline.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_policy(payload, ctx):
-    # Can block:
-    if is_unsafe(payload):
-        return block("Unsafe content", code="UNSAFE")
-    # Can modify:
-    return modify(payload, model_options={"temperature": 0.1})
-```
-
-### TRANSFORM
-
-Serial, chained execution after all SEQUENTIAL hooks. Can **modify** but **cannot block** (`block()` calls are suppressed with a warning). Use for data transformation (PII redaction, prompt rewriting) where you want to guarantee the pipeline continues.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.TRANSFORM, priority=20)
-async def enrich_options(payload, ctx):
-    opts = dict(payload.model_options or {})
-    opts.setdefault("temperature", 0.7)
-    return modify(payload, model_options=opts)
-```
-
-### AUDIT
-
-Awaited inline after TRANSFORM. Observe-only: payload modifications are **discarded** and violations are **logged but do not block**. Use for shadow policies, canary deployments, and gradual policy rollout.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT, priority=30)
-async def shadow_policy(payload, ctx):
-    # This block() is logged but does NOT stop execution
-    return block("Would block in production", code="SHADOW_001")
-```
-
-### CONCURRENT
-
-Dispatched in parallel after AUDIT. Can **block** (fail-fast on first blocking result) but **cannot modify**; modifications are discarded to avoid non-deterministic last-writer-wins races. Use for independent validation checks that benefit from parallel execution.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.CONCURRENT, priority=40)
-async def rate_limit_check(payload, ctx):
-    if await is_rate_limited(ctx):
-        return block("Rate limit exceeded", code="RATE_LIMIT")
-```
-
-### FIRE_AND_FORGET
-
-Dispatched via `asyncio.create_task()` after all other phases. Receives a copy-on-write snapshot of the payload. Cannot modify or block. Exceptions are logged but never propagated. Use for telemetry, async logging, and side-effects that must not slow down the pipeline.
-
-```python
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=50)
-async def send_telemetry(payload, ctx):
-    await telemetry_client.send({"component": payload.component_type})
-```
-
-<Note>
-The FIRE_AND_FORGET log output may appear after the main result is printed. This is expected behavior, as these hooks run in the background.
-</Note>
-
-### Chaining
-
-In `SEQUENTIAL` and `TRANSFORM` modes, when multiple plugins modify the same payload, modifications are composed. Plugin B sees the output of Plugin A (after policy filtering). This enables pipelines like:
-
-1. Plugin A caps `max_tokens` to 256
-2. Plugin B (seeing the capped value) adds a `temperature` default
-3. The final payload has both modifications applied
-
-### Error Handling
-
-- **`SEQUENTIAL`, `TRANSFORM`, `AUDIT`, `CONCURRENT`, `FIRE_AND_FORGET`** —  exceptions are logged and swallowed. They never affect the pipeline.
-- **`block()`** — this is intentional control flow, not an error. It raises a `PluginViolationError` to the caller.
-
-See the [execution modes example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/execution_modes.py).
-
----
-
-## Tool Hooks — Securing Tool Calls
-
-The `tool_pre_invoke` and `tool_post_invoke` hooks give you fine-grained control over tool-call governance. See [Chapter 11 of the tutorial](/core-concept/interoperability) for tool calling basics.
-
-### Tool Allow-Listing
-
-Block any tool not on an explicit approved list:
-
-```python
-ALLOWED_TOOLS = frozenset({"get_weather", "calculator"})
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
-async def enforce_tool_allowlist(payload, ctx):
-    tool_name = payload.model_tool_call.name
-    if tool_name not in ALLOWED_TOOLS:
-        return block(f"Tool '{tool_name}' is not permitted", code="TOOL_NOT_ALLOWED")
-```
-
-### Argument Validation
-
-Inspect and reject unsafe arguments before invocation:
-
-```python
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=10)
-async def validate_calculator_args(payload, ctx):
-    if payload.model_tool_call.name == "calculator":
-        expr = payload.model_tool_call.args.get("expression", "")
-        if not set(expr).issubset(set("0123456789 +-*/(). ")):
-            return block("Unsafe calculator expression", code="UNSAFE_EXPRESSION")
-```
-
-### Argument Sanitization
-
-Auto-fix arguments instead of blocking (a repair pattern):
-
-```python
-import dataclasses
-from mellea.plugins import PluginResult
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=15)
-async def sanitize_args(payload, ctx):
-    mtc = payload.model_tool_call
-    if mtc.name == "get_weather":
-        location = mtc.args.get("location", "").strip().title()
-        if location != mtc.args.get("location"):
-            new_call = dataclasses.replace(mtc, args={**mtc.args, "location": location})
-            modified = payload.model_copy(update={"model_tool_call": new_call})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-```
-
-### Audit Logging
-
-Fire-and-forget logging of every tool call for audit trails:
-
-```python
-@hook(HookType.TOOL_POST_INVOKE, mode=PluginMode.FIRE_AND_FORGET)
-async def audit_tool_calls(payload, ctx):
-    status = "OK" if payload.success else "ERROR"
-    log.info("tool=%r status=%s latency=%dms", payload.model_tool_call.name, status, payload.execution_time_ms)
-```
-
-### Composing Tool Hooks
-
-Group tool security hooks into a `PluginSet` for clean per-session registration:
-
-```python
-tool_security = PluginSet("tool-security", [enforce_tool_allowlist, validate_calculator_args, audit_tool_calls])
-
-with start_session(plugins=[tool_security]) as m:
-    result = m.instruct("What's the weather in Boston?", tool_calls=True)
-```
-
-See the [full tool hooks example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/tool_hooks.py).
-
----
-
-## Patterns & Best Practices
-
-### Observability Stack
-
-Combine session tracing, component latency, and generation logging, all using `FIRE_AND_FORGET` or `AUDIT` mode so they never slow down the pipeline:
-
-```python
-observability = PluginSet("observability", [
-    trace_session_start,     # AUDIT — session_post_init
-    trace_component_success, # AUDIT — component_post_success
-    trace_session_end,       # AUDIT — session_cleanup
-])
-register(observability)  # global — fires for all sessions
-```
-
-### Layered Security
-
-Stack enforcement across scopes:
-
-- **Global:** Token budget enforcement (`SEQUENTIAL`)
-- **Session-scoped:** Content policy for sensitive sessions
-- **With-block:** Feature flags for specific operations
-
-```python
-register(enforce_token_budget)  # global
-
-with start_session(plugins=[content_policy]) as m:
-    with plugin_scope(feature_flag_hook):
-        result = m.instruct("...")
-```
-
-### Input/Output Guardrails
-
-Block PII on input (`component_pre_execute`) and redact PII from output (`generation_post_call`) using a class-based plugin with shared state:
-
-```python
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    @hook(HookType.COMPONENT_PRE_EXECUTE)
-    async def reject_pii_input(self, payload, ctx): ...
-
-    @hook(HookType.GENERATION_POST_CALL)
-    async def redact_output(self, payload, ctx): ...
-```
-
-### Graceful Degradation with AUDIT Mode
-
-Deploy a new policy in `AUDIT` mode first, where violations are logged but do not block. Monitor the logs. When you're confident, promote to `SEQUENTIAL`:
-
-```python
-# Phase 1: shadow mode — log violations without blocking
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT)
-async def new_content_policy(payload, ctx):
-    if is_prohibited(payload):
-        return block("Would block", code="NEW_POLICY_001")
-
-# Phase 2: enforce — change mode to SEQUENTIAL when ready
-```
-
-### Testing Plugins
-
-You can unit-test hook functions without running a full Mellea session. Construct a payload mock, call the function directly, and assert the result:
-
-```python
-from unittest.mock import MagicMock
-
-async def test_blocks_long_description():
-    payload = MagicMock()
-    payload.action._description = "x" * 1000
-    ctx = MagicMock()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is not None
-    assert result.continue_processing is False
-    assert result.violation.code == "DESC_TOO_LONG"
-```
-
-See the [full testing example](https://github.com/generative-computing/mellea/blob/main/docs/examples/plugins/testing_plugins.py).
-
-### Idempotent Lifecycle Hooks
-
-If you use the advanced `MelleaPlugin` base class (which provides `initialize()` and `shutdown()` callbacks), make them idempotent, as they may be called once per `@hook` method on your plugin.
-
----
-
-## API Reference
-
-All public symbols are available from a single import:
-
-```python
-from mellea.plugins import (
-    HookType,            # Enum of all hook types (e.g., GENERATION_PRE_CALL)
-    Plugin,              # Base class for class-based plugins
-    PluginMode,          # Execution mode enum (SEQUENTIAL, TRANSFORM, AUDIT, CONCURRENT, FIRE_AND_FORGET)
-    PluginResult,        # Return type for hooks that modify or block
-    PluginSet,           # Named group of hooks/plugins for composition
-    PluginViolationError,# Exception raised when a hook blocks execution
-    block,               # Helper to create a blocking PluginResult
-    hook,                # Decorator to register an async function as a hook handler
-    modify,              # Helper to create a modifying PluginResult
-    plugin_scope,        # Context manager for with-block scoped activation
-    register,            # Register hooks/plugins globally or per-session
-    unregister,          # Remove globally-registered hooks/plugins
-)
-```
-
-| Symbol | Description |
-|---|---|
-| `@hook(hook_type, *, mode, priority)` | Decorator that marks an async function as a hook handler |
-| `Plugin` | Base class for multi-hook plugins with shared state. Set `name` and `priority` via class keywords |
-| `PluginSet(name, items, *, priority)` | Groups hooks, plugins, and nested sets into a reusable bundle |
-| `register(items, *, session_id)` | Register hooks/plugins. `session_id=None` for global scope |
-| `unregister(items)` | Remove globally-registered items |
-| `plugin_scope(*items)` | Context manager that registers on enter, deregisters on exit |
-| `block(reason, *, code, details)` | Create a blocking `PluginResult` |
-| `modify(payload, **field_updates)` | Create a modifying `PluginResult` via `model_copy` |
-| `HookType` | Enum with all 17 hook types |
-| `PluginMode` | Enum: `SEQUENTIAL`, `TRANSFORM`, `AUDIT`, `CONCURRENT`, `FIRE_AND_FORGET` |
-| `PluginResult` | Typed result with `continue_processing`, `modified_payload`, and `violation` |
-| `PluginViolationError` | Exception with `.reason`, `.code`, `.hook_type`, `.plugin_name` |
diff --git a/docs/docs/docs.json b/docs/docs/docs.json
index 37dd7ea40..82a400b04 100644
--- a/docs/docs/docs.json
+++ b/docs/docs/docs.json
@@ -135,8 +135,11 @@
           {
             "group": "Troubleshooting",
             "pages": [
-              "troubleshooting/common-errors",
-              "troubleshooting/faq"
+              "core-concept/tuning",
+              "core-concept/adapters",
+              "core-concept/alora",
+              "core-concept/interoperability",
+              "core-concept/plugins"
             ]
           }
         ]
diff --git a/docs/examples/plugins/__init__.py b/docs/examples/plugins/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/docs/examples/plugins/class_plugin.py b/docs/examples/plugins/class_plugin.py
deleted file mode 100644
index 6b359b810..000000000
--- a/docs/examples/plugins/class_plugin.py
+++ /dev/null
@@ -1,128 +0,0 @@
-# pytest: ollama, llm
-#
-# Class-based plugin — group related hooks in a single Plugin subclass.
-#
-# This example creates a PII protection plugin that:
-#   1. Blocks input containing SSN patterns before component execution
-#   2. Scans LLM output for SSN patterns after generation (observe-only)
-#
-# Run:
-#   uv run python docs/examples/plugins/class_plugin.py
-
-import logging
-import re
-import sys
-
-from mellea import start_session
-from mellea.plugins import HookType, Plugin, PluginViolationError, block, hook, register
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("class_plugin")
-
-
-class PIIRedactor(Plugin, name="pii-redactor", priority=5):
-    """Redacts PII patterns from both input and output.
-
-    .. warning:: Shared mutable state
-        ``redaction_count`` is shared across all hook invocations.  This is
-        safe today because all hooks run on the same ``asyncio`` event loop,
-        but would require a lock or ``contextvars`` if hooks ever execute in
-        parallel threads.
-    """
-
-    def __init__(self, patterns: list[str] | None = None):
-        self.patterns = patterns or [
-            r"\d{3}-\d{2}-\d{4}",  # SSN
-            r"\b\d{16}\b",  # credit card (simplified)
-        ]
-        self.redaction_count = 0
-
-    @hook(HookType.COMPONENT_PRE_EXECUTE)
-    async def reject_pii_input(self, payload, ctx):
-        """Block component execution if the action contains PII patterns."""
-        if payload.component_type != "Instruction":
-            return
-        original = (
-            str(payload.action._description) if payload.action._description else ""
-        )
-        if self._contains_pii(original):
-            log.warning("[pii-redactor] PII detected in component action — blocking")
-            self.redaction_count += 1
-            return block(
-                "Input contains PII patterns that must be removed before processing",
-                code="PII_INPUT_DETECTED",
-            )
-        log.info("[pii-redactor] no PII found in input")
-
-    @hook(HookType.GENERATION_POST_CALL)
-    async def scan_output(self, payload, ctx):
-        """Scan LLM output for PII and log a warning if detected.
-
-        ``generation_post_call`` is observe-only — plugins cannot modify the
-        ``model_output``.  This hook therefore only inspects the output and
-        records a warning for downstream monitoring/alerting.
-        """
-        mot_value = getattr(payload.model_output, "value", None)
-        if mot_value is None:
-            log.info("[pii-redactor] output not yet computed — skipping output scan")
-            return
-        original = str(mot_value)
-        if self._contains_pii(original):
-            log.warning("[pii-redactor] PII detected in LLM output (observe-only)")
-            self.redaction_count += 1
-        else:
-            log.info("[pii-redactor] no PII found in output")
-
-    def _contains_pii(self, text: str) -> bool:
-        return any(re.search(p, text) for p in self.patterns)
-
-
-# Create an instance and register it globally
-redactor = PIIRedactor()
-register(redactor)
-
-if __name__ == "__main__":
-    log.info("--- Class-based Plugin example (PII Redactor) ---")
-    log.info("")
-
-    with start_session() as m:
-        log.info("Session started (id=%s)", m.id)
-        log.info("")
-
-        # Request 1: contains an SSN — the input hook blocks execution.
-        log.info("Request 1: input with PII (should be blocked)")
-        try:
-            m.instruct(
-                "Summarize this customer record: "
-                "Name: Jane Doe, SSN: 123-45-6789, Status: Active"
-            )
-        except PluginViolationError as e:
-            log.info(
-                "Blocked as expected on %s: [%s] %s", e.hook_type, e.code, e.reason
-            )
-        log.info("")
-
-        # Request 2: clean input — no PII, so it reaches the LLM.
-        # If the LLM output contains PII, scan_output logs a warning (observe-only).
-        log.info("Request 2: clean input (should succeed)")
-        try:
-            result = m.instruct("Name the three primary colors.")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
-
-        log.info("")
-        log.info("Total PII detections: %d", redactor.redaction_count)
diff --git a/docs/examples/plugins/execution_modes.py b/docs/examples/plugins/execution_modes.py
deleted file mode 100644
index 1e1040837..000000000
--- a/docs/examples/plugins/execution_modes.py
+++ /dev/null
@@ -1,130 +0,0 @@
-# pytest: ollama, llm
-#
-# Execution modes — all five PluginMode values side by side.
-#
-# This example registers five hooks on the same hook type
-# (COMPONENT_PRE_EXECUTE), each using a different execution mode.
-# It demonstrates:
-#
-#   1. SEQUENTIAL      — serial, can block + modify
-#   2. TRANSFORM       — serial, can modify only (blocks suppressed)
-#   3. AUDIT           — serial, observe-only (modifications discarded, blocks logged)
-#   4. CONCURRENT      — parallel, can block only (modifications discarded)
-#   5. FIRE_AND_FORGET — background, observe-only (result ignored)
-#
-# Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
-#
-# Run:
-#   uv run python docs/examples/plugins/execution_modes.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginViolationError,
-    block,
-    hook,
-    modify,
-    plugin_scope,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("execution_modes")
-
-
-# --- Hook 1: SEQUENTIAL (priority=10) ---
-# Serial, chained execution. Can block the pipeline and modify writable
-# payload fields. Each hook receives the payload from the prior one.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def sequential_hook(payload, ctx):
-    """Sequential hook — can block + modify, runs inline in priority order."""
-    log.info("[SEQUENTIAL      p=10] component=%s", payload.component_type)
-
-
-# --- Hook 2: TRANSFORM (priority=20) ---
-# Serial, chained execution after all SEQUENTIAL hooks. Can modify writable
-# payload fields but CANNOT block — blocking results are suppressed with a
-# warning. Ideal for data transformation (PII redaction, prompt rewriting).
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.TRANSFORM, priority=20)
-async def transform_hook(payload, ctx):
-    """Transform hook — can modify but cannot block."""
-    log.info("[TRANSFORM       p=20] enriching model_options")
-    opts = dict(payload.model_options or {})
-    opts.setdefault("temperature", 0.7)
-    return modify(payload, model_options=opts)
-
-
-# --- Hook 3: AUDIT (priority=30) ---
-# Serial execution after TRANSFORM. Observe-only: payload modifications are
-# discarded and violations are logged but do NOT block. Use for monitoring,
-# metrics, and gradual policy rollout.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.AUDIT, priority=30)
-async def audit_hook(payload, ctx):
-    """Audit hook — observe-only; violations logged but not enforced."""
-    log.info("[AUDIT           p=30] would block, but audit mode only logs")
-    return block("Audit-mode violation: for monitoring only", code="AUDIT_001")
-
-
-# --- Hook 4: CONCURRENT (priority=40) ---
-# Dispatched in parallel after AUDIT. Can block the pipeline (fail-fast on
-# first blocking result) but payload modifications are discarded to avoid
-# non-deterministic last-writer-wins races.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.CONCURRENT, priority=40)
-async def concurrent_hook(payload, ctx):
-    """Concurrent hook — can block but cannot modify, runs in parallel."""
-    log.info("[CONCURRENT      p=40] component=%s", payload.component_type)
-
-
-# --- Hook 5: FIRE_AND_FORGET (priority=50) ---
-# Dispatched via asyncio.create_task() after all other phases. Receives a
-# copy-on-write snapshot of the payload. Cannot modify payloads or block
-# execution. Any exceptions are logged but do not propagate.
-# The log line may appear *after* the main result is printed.
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=50)
-async def fire_and_forget_hook(payload, ctx):
-    """Fire-and-forget hook — runs in background, never blocks."""
-    log.info("[FIRE_AND_FORGET p=50] logging in the background")
-
-
-if __name__ == "__main__":
-    log.info("--- Execution modes example ---")
-    log.info("")
-
-    with start_session() as m:
-        with plugin_scope(
-            sequential_hook,
-            transform_hook,
-            audit_hook,
-            concurrent_hook,
-            fire_and_forget_hook,
-        ):
-            try:
-                result = m.instruct("Name the four seasons.")
-                log.info("")
-                log.info("Result: %s", result)
-            except PluginViolationError as e:
-                log.error("Blocked: %s", e)
-
-    log.info("")
-    log.info(
-        "Note: the FIRE_AND_FORGET log may have appeared after the result "
-        "— that is expected behavior."
-    )
diff --git a/docs/examples/plugins/payload_modification.py b/docs/examples/plugins/payload_modification.py
deleted file mode 100644
index f0bb07b3f..000000000
--- a/docs/examples/plugins/payload_modification.py
+++ /dev/null
@@ -1,106 +0,0 @@
-# pytest: ollama, llm
-#
-# Payload modification — how to modify payloads in hooks.
-#
-# This example demonstrates:
-#   1. Using modify() to change writable payload fields
-#   2. Using model_copy(update={...}) directly for fine-grained control
-#   3. What happens when you try to modify a non-writable field (silently discarded)
-#
-# Run:
-#   uv run python docs/examples/plugins/payload_modification.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginResult,
-    hook,
-    modify,
-    plugin_scope,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("payload_modification")
-
-
-# ---------------------------------------------------------------------------
-# Hook 1: Inject a max_tokens cap via modify() helper
-#
-# generation_pre_call writable fields include: model_options, format, tool_calls
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def cap_max_tokens(payload, ctx):
-    """Cap max_tokens to 256 on every generation call."""
-    opts = dict(payload.model_options or {})
-    if opts.get("max_tokens", float("inf")) > 256:
-        log.info("[cap_max_tokens] capping max_tokens to 256")
-        opts["max_tokens"] = 256
-        return modify(payload, model_options=opts)
-    log.info("[cap_max_tokens] max_tokens already within cap")
-
-
-# ---------------------------------------------------------------------------
-# Hook 2: Inject default model options via modify()
-#
-# component_pre_execute writable fields include: requirements, model_options, ...
-# This shows model_copy(update={...}) for fine-grained control.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def inject_default_options(payload, ctx):
-    """Ensure a default temperature is set on every component execution."""
-    opts = dict(payload.model_options or {})
-    if "temperature" not in opts:
-        log.info("[inject_default_options] setting default temperature=0.7")
-        opts["temperature"] = 0.7
-        return modify(payload, model_options=opts)
-    log.info("[inject_default_options] temperature already set")
-
-
-# ---------------------------------------------------------------------------
-# Hook 3: Attempt to modify a non-writable field (observe it is discarded)
-#
-# generation_pre_call does NOT include 'action' or 'context' as writable.
-# This hook tries to modify 'context' — the change will be silently discarded
-# by the payload policy enforcement, and the original context will be used.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=20)
-async def attempt_non_writable(payload, ctx):
-    """Try to modify a non-writable field — change will be silently discarded."""
-    log.info("[attempt_non_writable] attempting to modify 'hook' (non-writable)")
-    # This modification will be filtered out by the payload policy
-    modified = payload.model_copy(update={"hook": "tampered"})
-    return PluginResult(continue_processing=True, modified_payload=modified)
-
-
-if __name__ == "__main__":
-    log.info("--- Payload modification example ---")
-    log.info("")
-
-    with start_session() as m:
-        with plugin_scope(cap_max_tokens, inject_default_options, attempt_non_writable):
-            result = m.instruct(
-                "Summarize the benefits of open-source software in one sentence."
-            )
-            log.info("")
-            log.info("Result: %s", result)
-
-    log.info("")
-    log.info(
-        "Note: the 'hook' field modification in attempt_non_writable was silently "
-        "discarded by the payload policy — only writable fields are accepted."
-    )
diff --git a/docs/examples/plugins/plugin_scoped.py b/docs/examples/plugins/plugin_scoped.py
deleted file mode 100644
index 3be811666..000000000
--- a/docs/examples/plugins/plugin_scoped.py
+++ /dev/null
@@ -1,191 +0,0 @@
-# pytest: ollama, llm
-#
-# Scoped plugins — activate plugins for a specific block of code.
-#
-# Three forms of scoped activation are shown:
-#
-#   1. plugin_scope(*items)  — the universal scope; accepts standalone hooks,
-#                              Plugin instances, PluginSets, or any mix
-#   2. with <Plugin instance>  — Plugin subclass used directly as a context
-#                                manager (includes a blocked-topic scenario)
-#   3. with <PluginSet>        — a named group used directly as a context manager
-#
-# All three guarantee that the plugins are registered on __enter__ and
-# deregistered on __exit__, even if the block raises an exception.
-#
-# Run:
-#   uv run python docs/examples/plugins/plugin_scoped.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    Plugin,
-    PluginMode,
-    PluginSet,
-    PluginViolationError,
-    hook,
-    plugin_scope,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("plugin_scoped")
-
-
-# ---------------------------------------------------------------------------
-# Reusable hook and plugin definitions
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.FIRE_AND_FORGET, priority=10)
-async def log_request(payload, ctx):
-    """Log every component action before execution."""
-    desc = str(payload.action._description) if payload.action else ""
-    preview = desc[:60].replace("\n", " ")
-    log.info("[log_request] → %r", preview)
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.FIRE_AND_FORGET, priority=10)
-async def log_response(payload, ctx):
-    """Log latency after each successful generation."""
-    log.info(
-        "[log_response] ← %s completed in %dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-class ContentGuard(Plugin, name="content-guard", priority=5):
-    """Blocks instructions that mention restricted topics."""
-
-    BLOCKED = ["financial advice", "medical diagnosis"]
-
-    @hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=5)
-    async def check_description(self, payload, ctx):
-        desc = str(payload.action._description).lower() if payload.action else ""
-        for topic in self.BLOCKED:
-            if topic in desc:
-                log.info("[content-guard] BLOCKED: %r", topic)
-                from mellea.plugins import block
-
-                return block(f"Restricted topic: {topic}", code="CONTENT_001")
-        log.info("[content-guard] description is clean")
-
-
-observability = PluginSet("observability", [log_request, log_response])
-
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def run(session, prompt: str) -> str | None:
-    try:
-        result = session.instruct(prompt)
-        log.info("Result: %s\n", result)
-        return str(result)
-    except PluginViolationError as e:
-        log.warning(
-            "Blocked on %s: [%s] %s (plugin=%s)\n",
-            e.hook_type,
-            e.code,
-            e.reason,
-            e.plugin_name,
-        )
-        return None
-
-
-# ---------------------------------------------------------------------------
-# Main
-# ---------------------------------------------------------------------------
-
-if __name__ == "__main__":
-    with start_session() as m:
-        # -------------------------------------------------------------------
-        # 1. plugin_scope — the universal scoped activation
-        #    Accepts standalone @hook functions, Plugin instances, PluginSets,
-        #    or any mix.  Nothing fires outside the block.
-        # -------------------------------------------------------------------
-        log.info("=== 1. plugin_scope ===")
-
-        log.info("Before scope: no plugins active")
-        # (no hooks fire here)
-
-        with plugin_scope(log_request, log_response):
-            log.info("Inside plugin_scope: log_request + log_response active")
-            run(m, "Name the planets of the solar system.")
-
-        log.info("After plugin_scope: hooks deregistered")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 2. Plugin instance as context manager
-        #    A single Plugin subclass instance can be entered directly.
-        # -------------------------------------------------------------------
-        log.info("=== 2. Plugin instance as context manager ===")
-
-        guard = ContentGuard()
-        with guard:
-            log.info("Inside with guard: ContentGuard active")
-            run(m, "What is the boiling point of water?")
-            # This prompt triggers the content guard — it contains a blocked topic.
-            run(m, "Give me financial advice on stocks.")
-
-        log.info("After with guard: ContentGuard deregistered")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 3. PluginSet as context manager
-        #    A PluginSet groups related hooks and can be entered as a unit.
-        # -------------------------------------------------------------------
-        log.info("=== 3. PluginSet as context manager ===")
-
-        with observability:
-            log.info("Inside with observability: log_request + log_response active")
-            run(m, "What is the capital of France?")
-
-        log.info("After with observability: hooks deregistered")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 4. Nesting and mixing forms
-        #    Scopes stack cleanly — each exit deregisters only its own plugins.
-        # -------------------------------------------------------------------
-        log.info("=== 4. Nested / mixed scopes ===")
-
-        guard2 = ContentGuard()
-        with plugin_scope(log_request):
-            log.info("Outer scope: log_request active")
-            with guard2:
-                log.info("Inner scope: log_request + ContentGuard active")
-                run(m, "Briefly explain what a compiler does.")
-            log.info("ContentGuard exited — only log_request remains")
-            run(m, "What is 12 times 12?")
-
-        log.info("All scopes exited: no plugins active")
-        log.info("")
-
-        # -------------------------------------------------------------------
-        # 5. Cleanup on exception
-        #    Plugins are always deregistered even if the block raises.
-        # -------------------------------------------------------------------
-        log.info("=== 5. Cleanup on exception ===")
-
-        guard3 = ContentGuard()
-        try:
-            with guard3:
-                log.info("ContentGuard active — raising intentionally")
-                raise RuntimeError("deliberate error")
-        except RuntimeError:
-            pass
-
-        log.info("ContentGuard deregistered despite exception")
-        run(m, "What color is the sky?")  # guard3 does not fire here
diff --git a/docs/examples/plugins/plugin_set_composition.py b/docs/examples/plugins/plugin_set_composition.py
deleted file mode 100644
index 75d734468..000000000
--- a/docs/examples/plugins/plugin_set_composition.py
+++ /dev/null
@@ -1,155 +0,0 @@
-# pytest: ollama, llm
-#
-# PluginSet composition — group hooks by concern and register them together.
-#
-# This example shows how to:
-#   1. Define hooks across different concerns (security, observability)
-#   2. Group them into PluginSets
-#   3. Register observability globally and security per-session
-#
-# Run:
-#   uv run python docs/examples/plugins/plugin_set_composition.py
-
-import logging
-import sys
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginSet,
-    PluginViolationError,
-    block,
-    hook,
-    register,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("plugin_set")
-
-
-# --- Security hooks ---
-
-TOKEN_BUDGET = 4000
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    """Enforce a conservative token budget."""
-    # Rough token estimate: ~4 chars per token
-    prompt_chars = sum(
-        len(str(c.format_for_llm()))
-        for c in (payload.context.view_for_generation() or [])
-    ) + len(
-        str(
-            payload.action.format_for_llm()
-            if hasattr(payload.action, "format_for_llm")
-            else payload.action
-        )
-    )
-    estimated = prompt_chars // 4 or 0
-    log.info("[security/token-budget] estimated=%d budget=%d", estimated, TOKEN_BUDGET)
-    if estimated > TOKEN_BUDGET:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
-            code="TOKEN_BUDGET_001",
-        )
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=20)
-async def enforce_description_length(payload, ctx):
-    """Reject component actions whose text representation is too long."""
-    max_len = 2000
-    action_text = str(payload.action._description) if payload.action else ""
-    if len(action_text) > max_len:
-        log.info("[security/desc-length] BLOCKED: action is %d chars", len(action_text))
-        return block(
-            f"Action text exceeds {max_len} characters", code="DESC_LENGTH_001"
-        )
-    log.info("[security/desc-length] action length OK (%d chars)", len(action_text))
-
-
-# --- Observability hooks ---
-
-
-@hook(HookType.SESSION_POST_INIT, mode=PluginMode.AUDIT)
-async def trace_session_start(payload, ctx):
-    """Trace session initialization."""
-    log.info(
-        "[observability/trace] session started (session_id=%s)", payload.session_id
-    )
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
-async def trace_component_success(payload, ctx):
-    """Trace successful component executions."""
-    log.info(
-        "[observability/trace] %s completed in %dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-@hook(HookType.SESSION_CLEANUP, mode=PluginMode.AUDIT)
-async def trace_session_end(payload, ctx):
-    """Trace session cleanup."""
-    log.info(
-        "[observability/trace] session cleanup (interactions=%d)",
-        payload.interaction_count,
-    )
-
-
-# --- Compose into PluginSets ---
-
-security = PluginSet("security", [enforce_token_budget, enforce_description_length])
-observability = PluginSet(
-    "observability", [trace_session_start, trace_component_success, trace_session_end]
-)
-
-
-if __name__ == "__main__":
-    log.info("--- PluginSet composition example ---")
-    log.info("")
-
-    # Register observability globally — fires for all sessions
-    register(observability)
-    log.info("Registered observability plugins globally")
-    log.info("")
-
-    # Session with security plugins (session-scoped) + global observability
-    log.info("=== Session with security + observability ===")
-    with start_session(plugins=[security]) as m:
-        try:
-            result = m.instruct("Name three prime numbers.")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.error(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
-    log.info("")
-
-    log.info("=== Session with observability only ===")
-    with start_session() as m:
-        try:
-            result = m.instruct("What is 2 + 2?")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
diff --git a/docs/examples/plugins/quickstart.py b/docs/examples/plugins/quickstart.py
deleted file mode 100644
index 098370d27..000000000
--- a/docs/examples/plugins/quickstart.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# pytest: ollama, llm
-#
-# Quick Start — your first Mellea plugin in under 30 lines.
-#
-# This example registers a single function hook that logs every generation
-# call, then runs a normal instruct() to show it in action.
-#
-# Run:
-#   uv run python docs/examples/plugins/quickstart.py
-
-import logging
-
-from mellea import start_session
-from mellea.plugins import HookType, hook, register
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("quickstart")
-
-
-@hook(HookType.GENERATION_PRE_CALL)
-async def log_generation(payload, ctx):
-    """Log a one-line summary before every LLM call."""
-    action_preview = str(payload.action)[:80].replace("\n", " ")
-    log.info("[log_generation] About to call LLM: %r", action_preview)
-
-
-register(log_generation)
-
-if __name__ == "__main__":
-    with start_session() as m:
-        result = m.instruct("What is the capital of France?")
-        log.info("Result: %s", result)
diff --git a/docs/examples/plugins/session_scoped.py b/docs/examples/plugins/session_scoped.py
deleted file mode 100644
index c9be94c71..000000000
--- a/docs/examples/plugins/session_scoped.py
+++ /dev/null
@@ -1,109 +0,0 @@
-# pytest: ollama, llm
-#
-# Session-scoped plugins — plugins that fire only within a specific session.
-#
-# This example demonstrates:
-#   1. A global observability hook that fires for ALL sessions
-#   2. A session-scoped content policy that only fires for one session
-#   3. A second session without the content policy to show the difference
-#
-# Run:
-#   uv run python docs/examples/plugins/session_scoped.py
-
-import logging
-import sys
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginViolationError,
-    block,
-    hook,
-    register,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("session_scoped")
-
-
-# --- Global hook: fires for every session ---
-
-
-@hook(HookType.SESSION_POST_INIT, mode=PluginMode.AUDIT)
-async def log_session_init(payload, ctx):
-    """Log when any session is initialized."""
-    log.info("[global] session initialized (session_id=%s)", payload.session_id)
-
-
-register(log_session_init)
-
-
-# --- Session-scoped hooks: passed via start_session(plugins=...) ---
-
-BLOCKED_TOPICS = ["weaponry", "explosives"]
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_content_policy(payload, ctx):
-    """Block components whose action text mentions restricted topics."""
-    desc = str(payload.action._description).lower() if payload.action else ""
-    for topic in BLOCKED_TOPICS:
-        if topic in desc:
-            log.info("[content-policy] BLOCKED: topic '%s' found in action", topic)
-            return block(f"Restricted topic: {topic}", code="CONTENT_POLICY_001")
-    log.info("[content-policy] action is clean — allowing")
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT)
-async def log_component_result(payload, ctx):
-    """Log the result of each successful component execution."""
-    log.info(
-        "[session-logger] component=%s latency=%dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-if __name__ == "__main__":
-    log.info("--- Session-scoped plugins example ---")
-    log.info("")
-
-    # Session 1: has content policy + result logging (session-scoped)
-    log.info("=== Session 1 (with content policy) ===")
-    with start_session(plugins=[enforce_content_policy, log_component_result]) as m:
-        try:
-            result = m.instruct("Explain photosynthesis in one sentence.")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.error(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
-    log.info("")
-
-    # Session 2: only global hooks fire (no content policy)
-    log.info("=== Session 2 (global hooks only, no content policy) ===")
-    with start_session() as m:
-        try:
-            result = m.instruct("What is the speed of light?")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
diff --git a/docs/examples/plugins/standalone_hooks.py b/docs/examples/plugins/standalone_hooks.py
deleted file mode 100644
index 5838ddfc3..000000000
--- a/docs/examples/plugins/standalone_hooks.py
+++ /dev/null
@@ -1,97 +0,0 @@
-# pytest: ollama, llm
-#
-# Standalone function hooks — the simplest way to extend Mellea.
-#
-# This example registers two function-based hooks:
-#   1. A generation_pre_call hook that logs and enforces a token budget
-#   2. A component_post_success hook that logs generation latency
-#
-# Run:
-#   uv run python docs/examples/plugins/standalone_hooks.py
-
-import logging
-import sys
-
-from mellea import start_session
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginViolationError,
-    block,
-    hook,
-    register,
-)
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("standalone_hooks")
-
-
-TOKEN_BUDGET = 4000
-
-
-@hook(HookType.GENERATION_PRE_CALL, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_token_budget(payload, ctx):
-    """Block generation calls that exceed the token budget."""
-    # Rough token estimate: ~4 chars per token
-    prompt_chars = sum(
-        len(str(c.format_for_llm()))
-        for c in (payload.context.view_for_generation() or [])
-    ) + len(
-        str(
-            payload.action.format_for_llm()
-            if hasattr(payload.action, "format_for_llm")
-            else payload.action
-        )
-    )
-    estimated = prompt_chars // 4 or 0
-    log.info(
-        "[enforce_token_budget] estimated_tokens=%d, budget=%d", estimated, TOKEN_BUDGET
-    )
-    if estimated > TOKEN_BUDGET:
-        return block(
-            f"Estimated {estimated} tokens exceeds budget of {TOKEN_BUDGET}",
-            code="TOKEN_BUDGET_001",
-            details={"estimated": estimated, "budget": TOKEN_BUDGET},
-        )
-    log.info("[enforce_token_budget] within budget — allowing generation")
-
-
-@hook(HookType.COMPONENT_POST_SUCCESS, mode=PluginMode.AUDIT, priority=50)
-async def log_latency(payload, ctx):
-    """Log latency after each successful component execution."""
-    log.info(
-        "[log_latency] component=%s latency=%dms",
-        payload.component_type,
-        payload.latency_ms,
-    )
-
-
-# Register both hooks globally — they fire for every session
-register([enforce_token_budget, log_latency])
-
-if __name__ == "__main__":
-    log.info("--- Standalone function hooks example ---")
-
-    with start_session() as m:
-        log.info("Session started (id=%s)", m.id)
-        log.info("")
-
-        try:
-            result = m.instruct("What are the three laws of robotics? Be brief.")
-            log.info("")
-            log.info("Result: %s", result)
-        except PluginViolationError as e:
-            log.warning(
-                "Execution blocked on %s: [%s] %s (plugin=%s)",
-                e.hook_type,
-                e.code,
-                e.reason,
-                e.plugin_name,
-            )
-            sys.exit(1)
diff --git a/docs/examples/plugins/testing_plugins.py b/docs/examples/plugins/testing_plugins.py
deleted file mode 100644
index 2102a904d..000000000
--- a/docs/examples/plugins/testing_plugins.py
+++ /dev/null
@@ -1,133 +0,0 @@
-# Testing plugins — how to unit-test hook functions without a live session.
-#
-# This example shows how to:
-#   1. Construct a payload manually
-#   2. Call a hook function directly (await my_hook(payload, ctx))
-#   3. Assert the return value for both pass-through and blocking cases
-#
-# Run:
-#   uv run python docs/examples/plugins/testing_plugins.py
-
-import asyncio
-import logging
-from datetime import UTC, datetime, timezone
-from unittest.mock import MagicMock
-
-from mellea.plugins import HookType, PluginMode, block, hook
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-log = logging.getLogger("testing_plugins")
-
-
-# ---------------------------------------------------------------------------
-# The plugin under test
-# ---------------------------------------------------------------------------
-
-MAX_DESCRIPTION_LENGTH = 500
-
-
-@hook(HookType.COMPONENT_PRE_EXECUTE, mode=PluginMode.SEQUENTIAL, priority=10)
-async def enforce_description_length(payload, ctx):
-    """Block components whose action text exceeds the maximum length."""
-    action_text = str(payload.action._description) if payload.action else ""
-    if len(action_text) > MAX_DESCRIPTION_LENGTH:
-        return block(
-            f"Action text is {len(action_text)} chars, max is {MAX_DESCRIPTION_LENGTH}",
-            code="DESC_TOO_LONG",
-            details={"length": len(action_text), "max": MAX_DESCRIPTION_LENGTH},
-        )
-
-
-# ---------------------------------------------------------------------------
-# Test helpers
-# ---------------------------------------------------------------------------
-
-
-def make_payload(action_text: str):
-    """Construct a minimal ComponentPreExecutePayload for testing.
-
-    In a real test suite you would import the payload class directly:
-        from mellea.plugins.hooks.component import ComponentPreExecutePayload
-    Here we use a simple mock to keep the example dependency-free.
-    """
-    payload = MagicMock()
-    payload.action = MagicMock()
-    payload.action._description = action_text
-    payload.component_type = "Instruction"
-    payload.timestamp = datetime.now(UTC)
-    payload.hook = HookType.COMPONENT_PRE_EXECUTE.value
-    return payload
-
-
-def make_ctx():
-    """Construct a minimal PluginContext mock."""
-    return MagicMock()
-
-
-# ---------------------------------------------------------------------------
-# Test cases
-# ---------------------------------------------------------------------------
-
-
-async def test_pass_through():
-    """Short action text should pass through (return None)."""
-    payload = make_payload("What is 2 + 2?")
-    ctx = make_ctx()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is None, f"Expected None (pass-through), got {result}"
-    log.info("[PASS] test_pass_through: short text passes through")
-
-
-async def test_blocks_long_description():
-    """Long action text should be blocked."""
-    long_text = "x" * (MAX_DESCRIPTION_LENGTH + 100)
-    payload = make_payload(long_text)
-    ctx = make_ctx()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is not None, "Expected a blocking PluginResult, got None"
-    assert result.continue_processing is False, "Expected continue_processing=False"
-    assert result.violation is not None, "Expected a violation"
-    assert result.violation.code == "DESC_TOO_LONG"
-    log.info(
-        "[PASS] test_blocks_long_description: long text is blocked with code=%s",
-        result.violation.code,
-    )
-
-
-async def test_exact_boundary():
-    """Text at exactly the max length should pass through."""
-    boundary_text = "y" * MAX_DESCRIPTION_LENGTH
-    payload = make_payload(boundary_text)
-    ctx = make_ctx()
-
-    result = await enforce_description_length(payload, ctx)
-
-    assert result is None, f"Expected None at boundary, got {result}"
-    log.info("[PASS] test_exact_boundary: boundary-length text passes through")
-
-
-# ---------------------------------------------------------------------------
-# Run all tests
-# ---------------------------------------------------------------------------
-
-
-async def run_all():
-    await test_pass_through()
-    await test_blocks_long_description()
-    await test_exact_boundary()
-    log.info("")
-    log.info("All tests passed!")
-
-
-if __name__ == "__main__":
-    log.info("--- Testing plugins example ---")
-    log.info("")
-    asyncio.run(run_all())
diff --git a/docs/examples/plugins/tool_hooks.py b/docs/examples/plugins/tool_hooks.py
deleted file mode 100644
index f97398e7e..000000000
--- a/docs/examples/plugins/tool_hooks.py
+++ /dev/null
@@ -1,459 +0,0 @@
-# pytest: ollama, llm
-#
-# Tool hook plugins — safety and security policies for tool invocation.
-#
-# This example demonstrates four enforcement / repair patterns using
-# TOOL_PRE_INVOKE and TOOL_POST_INVOKE hooks, built on top of the @tool
-# decorator examples:
-#
-#   1. Tool allow list     — blocks any tool not on an explicit approved list
-#   2. Argument validator  — inspects args before invocation (e.g., blocks
-#                            disallowed patterns in calculator expressions)
-#   3. Tool audit logger   — fire-and-forget logging of every tool call
-#   4. Arg sanitizer       — auto-fixes tool args before invocation instead of
-#                            blocking (e.g., strips unsafe chars from calculator
-#                            expressions and normalises location strings)
-#
-# Run:
-#   uv run python docs/examples/plugins/tool_hooks.py
-
-import dataclasses
-import logging
-
-from mellea import start_session
-from mellea.backends import ModelOption, tool
-from mellea.plugins import (
-    HookType,
-    PluginMode,
-    PluginResult,
-    PluginSet,
-    PluginViolationError,
-    block,
-    hook,
-)
-from mellea.stdlib.functional import _call_tools
-from mellea.stdlib.requirements import uses_tool
-
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
-    datefmt="%Y-%m-%dT%H:%M:%S",
-)
-logging.getLogger("httpx").setLevel(logging.ERROR)
-logging.getLogger("fancy_logger").setLevel(logging.ERROR)
-log = logging.getLogger("tool_hooks")
-
-
-# ---------------------------------------------------------------------------
-# Tools (same as tool_decorator_example.py)
-# ---------------------------------------------------------------------------
-
-
-@tool
-def get_weather(location: str, days: int = 1) -> dict:
-    """Get weather forecast for a location.
-
-    Args:
-        location: City name
-        days: Number of days to forecast (default: 1)
-    """
-    return {
-        "location": location,
-        "days": str(days),
-        "forecast": "sunny",
-        "temperature": "72",
-    }
-
-
-@tool
-def search_web(query: str, max_results: int = 5) -> list[str]:
-    """Search the web for information.
-
-    Args:
-        query: Search query
-        max_results: Maximum number of results to return
-    """
-    return [f"Result {i + 1} for '{query}'" for i in range(max_results)]
-
-
-@tool(name="calculator")
-def calculate(expression: str) -> str:
-    """Evaluate a mathematical expression.
-
-    Args:
-        expression: Mathematical expression to evaluate (e.g., "2 + 2 * 3")
-    """
-    # Only digits, whitespace, and basic arithmetic operators are permitted.
-    # This is enforced upstream by validate_tool_args, but the function
-    # applies its own check as a defence-in-depth measure.
-    allowed = set("0123456789 +-*/(). ")
-    if not set(expression).issubset(allowed):
-        return "Error: expression contains disallowed characters"
-    try:
-        # Safe: only reaches here when characters are in the allowed set
-        result = _safe_calc(expression)
-        return f"Result: {result}"
-    except Exception as e:
-        return f"Error: {e!s}"
-
-
-def _safe_calc(expression: str) -> float:
-    """Evaluate a restricted arithmetic expression (no builtins, no names)."""
-    import operator as op
-    import re
-
-    tokens = re.findall(r"[\d.]+|[+\-*/()]", expression)
-    # Build a simple recursive-descent expression for +, -, *, /, ()
-    pos = [0]
-
-    def parse_expr():
-        left = parse_term()
-        while pos[0] < len(tokens) and tokens[pos[0]] in ("+", "-"):
-            tok = tokens[pos[0]]
-            pos[0] += 1
-            right = parse_term()
-            left = op.add(left, right) if tok == "+" else op.sub(left, right)
-        return left
-
-    def parse_term():
-        left = parse_factor()
-        while pos[0] < len(tokens) and tokens[pos[0]] in ("*", "/"):
-            tok = tokens[pos[0]]
-            pos[0] += 1
-            right = parse_factor()
-            left = op.mul(left, right) if tok == "*" else op.truediv(left, right)
-        return left
-
-    def parse_factor():
-        tok = tokens[pos[0]]
-        if tok == "(":
-            pos[0] += 1
-            val = parse_expr()
-            pos[0] += 1  # consume ")"
-            return val
-        pos[0] += 1
-        return float(tok)
-
-    return parse_expr()
-
-
-# ---------------------------------------------------------------------------
-# Plugin 1 — Tool allow list (enforce)
-#
-# Only tools explicitly listed in ALLOWED_TOOLS may be called.  Any tool call
-# for an unlisted tool is blocked before it reaches the function.
-# ---------------------------------------------------------------------------
-
-ALLOWED_TOOLS: frozenset[str] = frozenset({"get_weather", "calculator"})
-
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=5)
-async def enforce_tool_allowlist(payload, _):
-    """Block any tool not on the explicit allow list."""
-    tool_name = payload.model_tool_call.name
-    if tool_name not in ALLOWED_TOOLS:
-        log.warning(
-            "[allowlist] BLOCKED tool=%r — not in allowed set %s",
-            tool_name,
-            sorted(ALLOWED_TOOLS),
-        )
-        return block(
-            f"Tool '{tool_name}' is not permitted",
-            code="TOOL_NOT_ALLOWED",
-            details={"tool": tool_name, "allowed": sorted(ALLOWED_TOOLS)},
-        )
-    log.info("[allowlist] permitted tool=%r", tool_name)
-
-
-# ---------------------------------------------------------------------------
-# Plugin 2 — Argument validator (enforce)
-#
-# Inspects the arguments before a tool is invoked.  For the calculator,
-# reject expressions that contain characters outside the safe set.
-# This runs after the allow list so it only sees permitted tools.
-# ---------------------------------------------------------------------------
-
-_CALCULATOR_ALLOWED_CHARS: frozenset[str] = frozenset("0123456789 +-*/(). ")
-
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=10)
-async def validate_tool_args(payload, _):
-    """Validate tool arguments before invocation."""
-    tool_name = payload.model_tool_call.name
-    tool_args = payload.model_tool_call.args or {}
-    if tool_name == "calculator":
-        expression = tool_args.get("expression", "")
-        disallowed = set(expression) - _CALCULATOR_ALLOWED_CHARS
-        if disallowed:
-            log.warning(
-                "[arg-validator] BLOCKED calculator expression=%r (disallowed chars: %s)",
-                expression,
-                disallowed,
-            )
-            return block(
-                f"Calculator expression contains disallowed characters: {disallowed}",
-                code="UNSAFE_EXPRESSION",
-                details={"expression": expression, "disallowed": sorted(disallowed)},
-            )
-        log.info("[arg-validator] calculator expression=%r is safe", expression)
-    else:
-        log.info("[arg-validator] no arg validation required for tool=%r", tool_name)
-
-
-# ---------------------------------------------------------------------------
-# Plugin 3 — Tool audit logger (fire-and-forget)
-#
-# Records every tool invocation outcome for audit purposes.  Uses
-# fire_and_forget so it never adds latency to the main execution path.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.TOOL_POST_INVOKE, mode=PluginMode.FIRE_AND_FORGET)
-async def audit_tool_calls(payload, _):
-    """Log the result of every tool call for audit purposes."""
-    status = "OK" if payload.success else "ERROR"
-    tool_name = payload.model_tool_call.name
-    log.info(
-        "[audit] tool=%r status=%s latency=%dms args=%s",
-        tool_name,
-        status,
-        payload.execution_time_ms,
-        payload.model_tool_call.args,
-    )
-    if not payload.success and payload.error is not None:
-        log.error("[audit] tool=%r error=%r", tool_name, str(payload.error))
-
-
-# ---------------------------------------------------------------------------
-# Plugin 4 — Arg sanitizer (repair)
-#
-# Instead of blocking, this plugin auto-fixes tool arguments before
-# invocation.  Two repairs are applied:
-#
-#   calculator  — strips any character outside the safe arithmetic set so
-#                 that the expression can still be evaluated.  A warning is
-#                 logged showing what was removed.
-#
-#   get_weather — normalises the location string to title-case and strips
-#                 leading/trailing whitespace (e.g. "  NEW YORK " → "New York").
-#
-# The plugin returns a modified ModelToolCall via model_copy so that the
-# corrected args are what actually reaches the tool function.
-# ---------------------------------------------------------------------------
-
-
-@hook(HookType.TOOL_PRE_INVOKE, mode=PluginMode.CONCURRENT, priority=15)
-async def sanitize_tool_args(payload, _) -> PluginResult:
-    """Auto-fix tool arguments rather than blocking on unsafe input."""
-    mtc = payload.model_tool_call
-    tool_name = mtc.name
-    args = dict(mtc.args or {})
-    updated: dict[str, object] = {}
-
-    if tool_name == "calculator":
-        raw_expr = str(args.get("expression", ""))
-        sanitized = "".join(c for c in raw_expr if c in _CALCULATOR_ALLOWED_CHARS)
-        if sanitized != raw_expr:
-            removed = set(raw_expr) - _CALCULATOR_ALLOWED_CHARS
-            log.warning(
-                "[sanitizer] calculator: stripped disallowed chars %s from expression=%r → %r",
-                sorted(removed),
-                raw_expr,
-                sanitized,
-            )
-            updated["expression"] = sanitized
-
-    elif tool_name == "get_weather":
-        raw_location = str(args.get("location", ""))
-        normalised = raw_location.strip().title()
-        if normalised != raw_location:
-            log.info(
-                "[sanitizer] get_weather: normalised location %r → %r",
-                raw_location,
-                normalised,
-            )
-            updated["location"] = normalised
-
-    if not updated:
-        return None  # nothing changed — pass through as-is
-
-    new_args = {**args, **updated}
-    new_call = dataclasses.replace(mtc, args=new_args)
-    modified = payload.model_copy(update={"model_tool_call": new_call})
-    return PluginResult(continue_processing=True, modified_payload=modified)
-
-
-# ---------------------------------------------------------------------------
-# Compose into PluginSets for clean session-scoped registration
-# ---------------------------------------------------------------------------
-
-tool_security = PluginSet(
-    "tool-security", [enforce_tool_allowlist, validate_tool_args, audit_tool_calls]
-)
-
-tool_sanitizer = PluginSet("tool-sanitizer", [sanitize_tool_args, audit_tool_calls])
-
-
-# ---------------------------------------------------------------------------
-# Scenarios
-# ---------------------------------------------------------------------------
-
-
-def _run_scenario(name: str, fn) -> None:
-    """Run a scenario function, logging any PluginViolationError without halting."""
-    log.info("=== %s ===", name)
-    try:
-        fn()
-    except PluginViolationError as e:
-        log.warning(
-            "Execution blocked on %s: [%s] %s (plugin=%s)",
-            e.hook_type,
-            e.code,
-            e.reason,
-            e.plugin_name,
-        )
-    log.info("")
-
-
-def scenario_1_allowed_tool(all_tools):
-    """Scenario 1: allowed tool call (get_weather)."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description="What is the weather in Boston for the next 3 days?",
-            requirements=[uses_tool("get_weather")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info("Tool returned: %s", tool_outputs[0].content)
-        else:
-            log.error("Expected tool call but none were executed")
-
-
-def scenario_2_blocked_tool(all_tools):
-    """Scenario 2: blocked tool call (search_web not on allow list)."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description="Search the web for the latest Python news.",
-            requirements=[uses_tool("search_web")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if not tool_outputs:
-            log.info("Tool call was blocked — outputs list is empty, as expected")
-        else:
-            log.warning("Expected tool to be blocked but it executed: %s", tool_outputs)
-
-
-def scenario_3_safe_calculator(all_tools):
-    """Scenario 3: safe calculator expression goes through."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description="Use the calculator to compute 6 * 7.",
-            requirements=[uses_tool("calculator")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info("Tool returned: %s", tool_outputs[0].content)
-        else:
-            log.error("Expected tool call but none were executed")
-
-
-def scenario_4_blocked_calculator(all_tools):
-    """Scenario 4: unsafe calculator expression is blocked."""
-    with start_session(plugins=[tool_security]) as m:
-        result = m.instruct(
-            description=(
-                "Use the calculator on this expression: "
-                "__builtins__['print']('injected')"
-            ),
-            requirements=[uses_tool("calculator")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if not tool_outputs:
-            log.info("Tool call was blocked — outputs list is empty, as expected")
-        else:
-            log.warning("Expected tool to be blocked but it executed: %s", tool_outputs)
-
-
-def scenario_5_sanitizer_calculator(all_tools):
-    """Scenario 5: arg sanitizer auto-fixes an unsafe calculator expression."""
-    with start_session(plugins=[tool_sanitizer]) as m:
-        result = m.instruct(
-            description=(
-                "Use the calculator on this expression: "
-                "6 * 7 + __import__('os').getpid()"
-            ),
-            requirements=[uses_tool("calculator")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info(
-                "Sanitized expression evaluated — tool returned: %s",
-                tool_outputs[0].content,
-            )
-        else:
-            log.error("Expected sanitized tool call but none were executed")
-
-
-def scenario_6_sanitizer_location(all_tools):
-    """Scenario 6: arg sanitizer normalises a messy location string."""
-    with start_session(plugins=[tool_sanitizer]) as m:
-        result = m.instruct(
-            description="What is the weather in '  NEW YORK  '?",
-            requirements=[uses_tool("get_weather")],
-            model_options={ModelOption.TOOLS: all_tools},
-            tool_calls=True,
-        )
-        tool_outputs = _call_tools(result, m.backend)
-        if tool_outputs:
-            log.info(
-                "Weather fetched with normalised location — tool returned: %s",
-                tool_outputs[0].content,
-            )
-        else:
-            log.error("Expected tool call but none were executed")
-
-
-# ---------------------------------------------------------------------------
-# Main — six scenarios
-# ---------------------------------------------------------------------------
-
-if __name__ == "__main__":
-    log.info("--- Tool hook plugins example ---")
-    log.info("")
-
-    all_tools = [get_weather, search_web, calculate]
-
-    _run_scenario(
-        "Scenario 1: allowed tool — get_weather",
-        lambda: scenario_1_allowed_tool(all_tools),
-    )
-    _run_scenario(
-        "Scenario 2: blocked tool — search_web not on allow list",
-        lambda: scenario_2_blocked_tool(all_tools),
-    )
-    _run_scenario(
-        "Scenario 3: safe calculator expression",
-        lambda: scenario_3_safe_calculator(all_tools),
-    )
-    _run_scenario(
-        "Scenario 4: unsafe calculator expression blocked",
-        lambda: scenario_4_blocked_calculator(all_tools),
-    )
-    _run_scenario(
-        "Scenario 5: arg sanitizer auto-fixes calculator expression",
-        lambda: scenario_5_sanitizer_calculator(all_tools),
-    )
-    _run_scenario(
-        "Scenario 6: arg sanitizer normalises location in get_weather",
-        lambda: scenario_6_sanitizer_location(all_tools),
-    )
diff --git a/docs/examples/tools/interpreter_example.py b/docs/examples/tools/interpreter_example.py
index de532e6a1..df314b09e 100644
--- a/docs/examples/tools/interpreter_example.py
+++ b/docs/examples/tools/interpreter_example.py
@@ -64,10 +64,8 @@ def example_4(m: MelleaSession):
                 "The plot should be written to /tmp/output.png",
                 tool_name=local_code_interpreter,
                 arg_name="code",
-                validation_fn=lambda code_snippet: (
-                    "/tmp/output.png" in code_snippet
-                    and "plt.show()" not in code_snippet
-                ),
+                validation_fn=lambda code_snippet: "/tmp/output.png" in code_snippet
+                and "plt.show()" not in code_snippet,
             ),
         ],
         model_options={
diff --git a/mellea/backends/dummy.py b/mellea/backends/dummy.py
index e3e12e100..71812d9aa 100644
--- a/mellea/backends/dummy.py
+++ b/mellea/backends/dummy.py
@@ -23,7 +23,7 @@ def __init__(self, responses: list[str] | None):
         self.responses = responses
         self.idx = 0
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
diff --git a/mellea/backends/huggingface.py b/mellea/backends/huggingface.py
index c7886e7e2..7f7314d66 100644
--- a/mellea/backends/huggingface.py
+++ b/mellea/backends/huggingface.py
@@ -311,7 +311,7 @@ def _make_dc_cache(self, toks, **model_options):
             ).past_key_values
         return dc
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -498,7 +498,8 @@ async def _generate_from_intrinsic(
         #       us having specific caching for each Component/Message.
 
         generate_input, other_input = (
-            granite_formatters.base.util.chat_completion_request_to_transformers_inputs(  # type: ignore
+            # type: ignore
+            granite_formatters.base.util.chat_completion_request_to_transformers_inputs(
                 rewritten, self._tokenizer, self._model
             )
         )
@@ -515,7 +516,6 @@ async def _generate_from_intrinsic(
         )
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = ctx.view_for_generation()
         output._action = action
         output._model_options = model_options
@@ -788,7 +788,6 @@ async def _generate_from_context_with_kv_cache(
             )
 
             output = ModelOutputThunk(None)
-            output._start = datetime.datetime.now()
             output._context = ctx.view_for_generation()
             output._action = action
             output._model_options = model_options
@@ -933,7 +932,6 @@ async def _generate_from_context_standard(
             )
 
             output = ModelOutputThunk(None)
-            output._start = datetime.datetime.now()
             output._context = ctx.view_for_generation()
             output._action = action
             output._model_options = model_options
diff --git a/mellea/backends/litellm.py b/mellea/backends/litellm.py
index 4f5bac389..34ebfe970 100644
--- a/mellea/backends/litellm.py
+++ b/mellea/backends/litellm.py
@@ -118,7 +118,7 @@ def __init__(
 
         self._past_event_loops: set[int] = set()
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -330,7 +330,6 @@ async def _generate_from_chat_context_standard(
         )
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/ollama.py b/mellea/backends/ollama.py
index afe80ec84..ee159e88a 100644
--- a/mellea/backends/ollama.py
+++ b/mellea/backends/ollama.py
@@ -250,7 +250,7 @@ def _make_backend_specific_and_remove(
         )
         return ModelOption.remove_special_keys(backend_specific)
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -365,7 +365,6 @@ async def generate_from_chat_context(
         )  # type: ignore
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/openai.py b/mellea/backends/openai.py
index faadfc454..895bddd58 100644
--- a/mellea/backends/openai.py
+++ b/mellea/backends/openai.py
@@ -294,7 +294,7 @@ def _make_backend_specific_and_remove(
 
         return model_opts
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -472,7 +472,6 @@ async def _generate_from_chat_context_standard(
         )  # type: ignore
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/backends/vllm.py b/mellea/backends/vllm.py
index 9ceedd651..85ce66308 100644
--- a/mellea/backends/vllm.py
+++ b/mellea/backends/vllm.py
@@ -233,7 +233,7 @@ def _model(self) -> vllm.AsyncLLMEngine:
 
         return self._underlying_model
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -326,7 +326,6 @@ async def _generate_from_context_standard(
             # if stream:
 
             output = ModelOutputThunk(None)
-            output._start = datetime.datetime.now()
 
             generator = self._model.generate(  # type: ignore
                 request_id=str(id(output)),
diff --git a/mellea/backends/watsonx.py b/mellea/backends/watsonx.py
index d6ca943e9..b7ac63545 100644
--- a/mellea/backends/watsonx.py
+++ b/mellea/backends/watsonx.py
@@ -242,7 +242,7 @@ def _make_backend_specific_and_remove(
 
         return model_opts
 
-    async def _generate_from_context(
+    async def generate_from_context(
         self,
         action: Component[C] | CBlock,
         ctx: Context,
@@ -369,7 +369,6 @@ async def generate_from_chat_context(
             )
 
         output = ModelOutputThunk(None)
-        output._start = datetime.datetime.now()
         output._context = linearized_context
         output._action = action
         output._model_options = model_opts
diff --git a/mellea/core/backend.py b/mellea/core/backend.py
index 6a1a1396a..7f0c88e68 100644
--- a/mellea/core/backend.py
+++ b/mellea/core/backend.py
@@ -2,17 +2,13 @@
 
 import abc
 import asyncio
-import functools
 import itertools
-import time
 from collections.abc import Sequence
-from typing import final, overload
+from typing import overload
 
 import pydantic
 import typing_extensions
 
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
 from .base import C, CBlock, Component, Context, ModelOutputThunk
 from .utils import FancyLogger
 
@@ -35,7 +31,7 @@
 class Backend(abc.ABC):
     """An abstract `Backend`."""
 
-    @final
+    @abc.abstractmethod
     async def generate_from_context(
         self,
         action: Component[C] | CBlock,
@@ -47,54 +43,6 @@ async def generate_from_context(
     ) -> tuple[ModelOutputThunk[C], Context]:
         """Generates a model output from a context. May not mutate the context. This must be called from a running event loop as it creates a task to run the generation request.
 
-        Args:
-            action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
-            ctx: The rest of the context.
-            format: A response format to used for structured outputs / constrained decoding.
-            model_options: Any model options to upsert into the defaults for this call.
-            tool_calls: If `True`, then tool calls are extracts from the `action` `Component`. Assumption: if tool_calls is enabled, then the action `Component` has a TemplateRepresentation
-
-        Returns:
-            a tuple of (ModelOutputThunk, Context) where the Context is the new context after the generation has been completed.
-        """
-        # --- generation_pre_call hook ---
-        if has_plugins(HookType.GENERATION_PRE_CALL):
-            from ..plugins.hooks.generation import GenerationPreCallPayload
-
-            pre_payload = GenerationPreCallPayload(
-                action=action,
-                context=ctx,
-                format=format,
-                model_options=model_options or {},
-                tool_calls=tool_calls,
-            )
-            _, pre_payload = await invoke_hook(
-                HookType.GENERATION_PRE_CALL, pre_payload, backend=self
-            )
-            model_options = pre_payload.model_options
-            format = pre_payload.format
-            tool_calls = pre_payload.tool_calls
-
-        return await self._generate_from_context(
-            action,
-            ctx,
-            format=format,
-            model_options=model_options,
-            tool_calls=tool_calls,
-        )
-
-    @abc.abstractmethod
-    async def _generate_from_context(
-        self,
-        action: Component[C] | CBlock,
-        ctx: Context,
-        *,
-        format: type[BaseModelSubclass] | None = None,
-        model_options: dict | None = None,
-        tool_calls: bool = False,
-    ) -> tuple[ModelOutputThunk[C], Context]:
-        """Backend implementers should override this method to generate the actual response.
-
         Args:
             action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
             ctx: The rest of the context.
diff --git a/mellea/core/base.py b/mellea/core/base.py
index 60d650292..c9b743f42 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -8,7 +8,6 @@
 import binascii
 import datetime
 import enum
-import time
 from collections.abc import Callable, Coroutine, Iterable, Mapping
 from copy import copy, deepcopy
 from dataclasses import dataclass
@@ -18,9 +17,6 @@
 import typing_extensions
 from PIL import Image as PILImage
 
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
-
 
 class CBlock:
     """A `CBlock` is a block of content that can serve as input to or output from an LLM."""
@@ -216,9 +212,7 @@ def __init__(
         )
         self._process: Callable[[ModelOutputThunk, Any], Coroutine] | None = None
         self._post_process: Callable[[ModelOutputThunk], Coroutine] | None = None
-        self._on_computed: Callable[[ModelOutputThunk], Coroutine] | None = None
 
-        self._start: datetime.datetime | None = None
         self._generate_log: GenerateLog | None = None
 
     def _copy_from(self, other: ModelOutputThunk) -> None:
@@ -380,6 +374,7 @@ async def astream(self) -> str:
             assert self.parsed_repr is not None, (
                 "enforce constraint that a computed ModelOutputThunk has a non-None parsed_repr"
             )
+<<<<<<< HEAD
 
             # --- generation_post_call hook ---
             if has_plugins(HookType.GENERATION_POST_CALL):
@@ -401,6 +396,9 @@ async def astream(self) -> str:
                 # replacement = await invoke_hook(...)
                 # if replacement is not None and replacement is not self:
                 #     self._copy_from(replacement)
+=======
+            return self._underlying_value  # type: ignore
+>>>>>>> parent of dd14229 (feat: hook system and plugin support for Mellea (#582))
 
         return (
             self._underlying_value
diff --git a/mellea/formatters/granite/retrievers/util.py b/mellea/formatters/granite/retrievers/util.py
index 4da4dd041..7eb2e2a02 100644
--- a/mellea/formatters/granite/retrievers/util.py
+++ b/mellea/formatters/granite/retrievers/util.py
@@ -5,8 +5,8 @@
 # Standard
 import os
 import pathlib
+import urllib
 import urllib.error
-import urllib.request
 import zipfile
 
 # Third Party
diff --git a/mellea/plugins/__init__.py b/mellea/plugins/__init__.py
deleted file mode 100644
index f5433fdd8..000000000
--- a/mellea/plugins/__init__.py
+++ /dev/null
@@ -1,29 +0,0 @@
-"""Mellea Plugin System — extension points for policy enforcement, observability, and customization.
-
-Public API::
-
-    from mellea.plugins import Plugin, hook, block, modify, PluginSet, register, unregister
-"""
-
-from __future__ import annotations
-
-from .base import Plugin, PluginResult, PluginViolationError
-from .decorators import hook
-from .pluginset import PluginSet
-from .registry import block, modify, plugin_scope, register, unregister
-from .types import HookType, PluginMode
-
-__all__ = [
-    "HookType",
-    "Plugin",
-    "PluginMode",
-    "PluginResult",
-    "PluginSet",
-    "PluginViolationError",
-    "block",
-    "hook",
-    "modify",
-    "plugin_scope",
-    "register",
-    "unregister",
-]
diff --git a/mellea/plugins/context.py b/mellea/plugins/context.py
deleted file mode 100644
index bed622794..000000000
--- a/mellea/plugins/context.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""Plugin context factory — maps Mellea domain objects to ContextForge GlobalContext."""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING, Any
-
-try:
-    from cpex.framework.models import GlobalContext
-
-    _HAS_PLUGIN_FRAMEWORK = True
-except ImportError:
-    _HAS_PLUGIN_FRAMEWORK = False
-
-if TYPE_CHECKING:
-    from mellea.core.backend import Backend
-
-
-def build_global_context(*, backend: Backend | None = None, **extra_fields: Any) -> Any:
-    """Build a ContextForge ``GlobalContext`` from Mellea domain objects.
-
-    The global context carries lightweight, cross-cutting ambient metadata
-    (e.g. ``backend_name``) that is useful to every hook regardless of type.
-    Hook-specific data (context, session, action, etc.) belongs on the typed
-    payload, not here.
-
-    Returns ``None`` if ContextForge is not installed.
-    """
-    if not _HAS_PLUGIN_FRAMEWORK:
-        return None
-
-    state: dict[str, Any] = {}
-    if backend is not None:
-        state["backend_name"] = getattr(backend, "model_id", "unknown")
-    state.update(extra_fields)
-
-    return GlobalContext(request_id="", state=state)
diff --git a/mellea/plugins/decorators.py b/mellea/plugins/decorators.py
deleted file mode 100644
index 27789c647..000000000
--- a/mellea/plugins/decorators.py
+++ /dev/null
@@ -1,49 +0,0 @@
-"""Mellea hook decorator."""
-
-from __future__ import annotations
-
-from collections.abc import Callable
-from dataclasses import dataclass
-
-from mellea.plugins.types import PluginMode
-
-
-@dataclass(frozen=True)
-class HookMeta:
-    """Metadata attached by the @hook decorator."""
-
-    hook_type: str
-    mode: PluginMode = PluginMode.SEQUENTIAL
-    priority: int | None = None
-
-
-def hook(
-    hook_type: str,
-    *,
-    mode: PluginMode = PluginMode.SEQUENTIAL,
-    priority: int | None = None,
-) -> Callable:
-    """Register an async function or method as a hook handler.
-
-    Args:
-        hook_type: The hook point name (e.g., ``"generation_pre_call"``).
-        mode: Execution mode — ``PluginMode.SEQUENTIAL`` (default), ``PluginMode.CONCURRENT``,
-              ``PluginMode.AUDIT``, or ``PluginMode.FIRE_AND_FORGET``.
-        priority: Lower numbers execute first. For methods on a ``Plugin`` subclass, falls back
-                  to the class-level priority, then 50. For standalone functions, defaults to 50.
-    """
-
-    def decorator(fn: Callable) -> Callable:
-        import inspect
-
-        if not inspect.iscoroutinefunction(fn):
-            raise TypeError(
-                f"@hook-decorated function {fn.__qualname__!r} must be async "
-                f"(defined with 'async def'), got a regular function."
-            )
-        fn._mellea_hook_meta = HookMeta(  # type: ignore[attr-defined]
-            hook_type=hook_type, mode=mode, priority=priority
-        )
-        return fn
-
-    return decorator
diff --git a/mellea/plugins/hooks/__init__.py b/mellea/plugins/hooks/__init__.py
deleted file mode 100644
index 5c017fbb9..000000000
--- a/mellea/plugins/hooks/__init__.py
+++ /dev/null
@@ -1,48 +0,0 @@
-"""Hook payload classes for the Mellea plugin system."""
-
-from .component import (
-    ComponentPostErrorPayload,
-    ComponentPostSuccessPayload,
-    ComponentPreExecutePayload,
-)
-from .generation import GenerationPostCallPayload, GenerationPreCallPayload
-from .sampling import (
-    SamplingIterationPayload,
-    SamplingLoopEndPayload,
-    SamplingLoopStartPayload,
-    SamplingRepairPayload,
-)
-from .session import (
-    SessionCleanupPayload,
-    SessionPostInitPayload,
-    SessionPreInitPayload,
-    SessionResetPayload,
-)
-from .tool import ToolPostInvokePayload, ToolPreInvokePayload
-from .validation import ValidationPostCheckPayload, ValidationPreCheckPayload
-
-__all__ = [
-    # Component
-    "ComponentPostErrorPayload",
-    "ComponentPostSuccessPayload",
-    "ComponentPreExecutePayload",
-    # Generation
-    "GenerationPostCallPayload",
-    "GenerationPreCallPayload",
-    # Sampling
-    "SamplingIterationPayload",
-    "SamplingLoopEndPayload",
-    "SamplingLoopStartPayload",
-    "SamplingRepairPayload",
-    # Session
-    "SessionCleanupPayload",
-    "SessionPostInitPayload",
-    "SessionPreInitPayload",
-    "SessionResetPayload",
-    # Tool
-    "ToolPostInvokePayload",
-    "ToolPreInvokePayload",
-    # Validation
-    "ValidationPostCheckPayload",
-    "ValidationPreCheckPayload",
-]
diff --git a/mellea/plugins/hooks/component.py b/mellea/plugins/hooks/component.py
deleted file mode 100644
index b42615c3a..000000000
--- a/mellea/plugins/hooks/component.py
+++ /dev/null
@@ -1,82 +0,0 @@
-"""Component lifecycle hook payloads."""
-
-from __future__ import annotations
-
-from typing import Any
-
-from mellea.plugins.base import MelleaBasePayload
-
-
-class ComponentPreExecutePayload(MelleaBasePayload):
-    """Payload for ``component_pre_execute`` — before component execution via ``aact()``.
-
-    Attributes:
-        component_type: Class name of the component being executed.
-        action: The ``Component`` or ``CBlock`` about to be executed.
-        context_view: Optional snapshot of the context as a list.
-        requirements: List of ``Requirement`` instances for validation (writable).
-        model_options: Dict of model options passed to the backend (writable).
-        format: Optional ``BaseModel`` subclass for structured output / constrained decoding (writable).
-        strategy: Optional ``SamplingStrategy`` instance controlling retry logic (writable).
-        tool_calls_enabled: Whether tool calling is enabled for this execution (writable).
-    """
-
-    component_type: str = ""
-    action: Any = None
-    context_view: list[Any] | None = None
-    requirements: list[Any] = []
-    model_options: dict[str, Any] = {}
-    format: Any = None
-    strategy: Any = None
-    tool_calls_enabled: bool = False
-
-
-class ComponentPostSuccessPayload(MelleaBasePayload):
-    """Payload for ``component_post_success`` — after successful component execution.
-
-    Attributes:
-        component_type: Class name of the executed component.
-        action: The ``Component`` or ``CBlock`` that was executed.
-
-        result: The ``ModelOutputThunk`` containing the generation result.
-        context_before: The ``Context`` before execution.
-
-        context_after: The ``Context`` after execution (with action + result appended).
-
-        generate_log: The ``GenerateLog`` from the final generation pass.
-        sampling_results: Optional list of ``ModelOutputThunk`` from all sampling attempts.
-        latency_ms: Wall-clock time for the full execution in milliseconds.
-    """
-
-    component_type: str = ""
-    action: Any = None
-    result: Any = None
-    context_before: Any = None
-    context_after: Any = None
-    generate_log: Any = None
-    sampling_results: list[Any] | None = None
-    latency_ms: int = 0
-
-
-class ComponentPostErrorPayload(MelleaBasePayload):
-    """Payload for ``component_post_error`` — after component execution fails.
-
-    Attributes:
-        component_type: Class name of the component that failed.
-        action: The ``Component`` or ``CBlock`` that was being executed.
-
-        error: The ``Exception`` that was raised.
-        error_type: Class name of the exception (e.g. ``"ValueError"``).
-        stack_trace: Formatted traceback string.
-        context: The ``Context`` at the time of the error.
-
-        model_options: Dict of model options that were in effect.
-    """
-
-    component_type: str = ""
-    action: Any = None
-    error: Any = None
-    error_type: str = ""
-    stack_trace: str = ""
-    context: Any = None
-    model_options: dict[str, Any] = {}
diff --git a/mellea/plugins/hooks/generation.py b/mellea/plugins/hooks/generation.py
deleted file mode 100644
index 2b83c8c1f..000000000
--- a/mellea/plugins/hooks/generation.py
+++ /dev/null
@@ -1,48 +0,0 @@
-"""Generation pipeline hook payloads."""
-
-from __future__ import annotations
-
-from typing import Any
-
-from mellea.plugins.base import MelleaBasePayload
-
-
-class GenerationPreCallPayload(MelleaBasePayload):
-    """Payload for ``generation_pre_call`` — before LLM backend call.
-
-    Attributes:
-        action: The ``Component`` or ``CBlock`` about to be sent to the backend.
-
-        context: The ``Context`` being used for this generation call.
-
-        model_options: Dict of model options (writable — plugins may adjust temperature, etc.).
-        format: Optional ``BaseModel`` subclass for constrained decoding (writable).
-        tool_calls: Whether tool calls are enabled for this generation (writable).
-    """
-
-    action: Any = None
-    context: Any = None
-    model_options: dict[str, Any] = {}
-    format: Any = None
-    tool_calls: bool = False
-
-
-class GenerationPostCallPayload(MelleaBasePayload):
-    """Payload for ``generation_post_call`` — fires once the model output is fully computed.
-
-    For lazy ``ModelOutputThunk`` objects this hook fires inside
-    ``ModelOutputThunk.astream`` after ``post_process`` completes, so
-    ``model_output.value`` is guaranteed to be available. For already-computed
-    thunks (e.g. cached responses) it fires before ``generate_from_context``
-    returns.
-
-    Attributes:
-        prompt: The formatted prompt sent to the backend (str or list of message dicts).
-        model_output: The fully-computed ``ModelOutputThunk``.
-        latency_ms: Elapsed milliseconds from the ``generate_from_context`` call
-            to when the value was fully materialized.
-    """
-
-    prompt: str | list[dict[str, Any]] = ""
-    model_output: Any = None
-    latency_ms: float = 0.0
diff --git a/mellea/plugins/hooks/sampling.py b/mellea/plugins/hooks/sampling.py
deleted file mode 100644
index 4e0bceefe..000000000
--- a/mellea/plugins/hooks/sampling.py
+++ /dev/null
@@ -1,101 +0,0 @@
-"""Sampling pipeline hook payloads."""
-
-from __future__ import annotations
-
-from typing import Any
-
-from mellea.plugins.base import MelleaBasePayload
-
-
-class SamplingLoopStartPayload(MelleaBasePayload):
-    """Payload for ``sampling_loop_start`` — when sampling strategy begins.
-
-    Attributes:
-        strategy_name: Class name of the sampling strategy (e.g. ``"RejectionSamplingStrategy"``).
-        action: The ``Component`` being sampled.
-
-        context: The ``Context`` at the start of sampling.
-
-        requirements: List of ``Requirement`` instances to validate against.
-        loop_budget: Maximum number of sampling iterations allowed (writable).
-    """
-
-    strategy_name: str = ""
-    action: Any = None
-    context: Any = None
-    requirements: list[Any] = []
-    loop_budget: int = 0
-
-
-class SamplingIterationPayload(MelleaBasePayload):
-    """Payload for ``sampling_iteration`` — after each sampling attempt.
-
-    Attributes:
-        iteration: 1-based iteration number within the sampling loop.
-        action: The ``Component`` used for this attempt.
-
-        result: The ``ModelOutputThunk`` produced by this attempt.
-        validation_results: List of ``(Requirement, ValidationResult)`` tuples.
-        all_validations_passed: ``True`` when **every** requirement in ``validation_results``
-            passed for this iteration (i.e., the sampling attempt succeeded).
-        valid_count: Number of requirements that passed.
-        total_count: Total number of requirements evaluated.
-    """
-
-    iteration: int = 0
-    action: Any = None
-    result: Any = None
-    validation_results: list[tuple[Any, Any]] = []
-    all_validations_passed: bool = False
-    valid_count: int = 0
-    total_count: int = 0
-
-
-class SamplingRepairPayload(MelleaBasePayload):
-    """Payload for ``sampling_repair`` — when repair is invoked after validation failure.
-
-    Attributes:
-        repair_type: Kind of repair (strategy-dependent, e.g. ``"rejection"``, ``"template"``).
-        failed_action: The ``Component`` that failed validation.
-
-        failed_result: The ``ModelOutputThunk`` that failed validation.
-        failed_validations: List of ``(Requirement, ValidationResult)`` tuples that failed.
-        repair_action: The repaired ``Component`` to use for the next attempt.
-        repair_context: The ``Context`` to use for the next attempt.
-        repair_iteration: 1-based iteration at which the repair was triggered.
-    """
-
-    repair_type: str = ""
-    failed_action: Any = None
-    failed_result: Any = None
-    failed_validations: list[tuple[Any, Any]] = []
-    repair_action: Any = None
-    repair_context: Any = None
-    repair_iteration: int = 0
-
-
-class SamplingLoopEndPayload(MelleaBasePayload):
-    """Payload for ``sampling_loop_end`` — when sampling completes.
-
-    Attributes:
-        success: ``True`` if at least one attempt passed all requirements.
-        iterations_used: Total number of iterations the loop executed.
-        final_result: The selected ``ModelOutputThunk`` (best success or best failure).
-        final_action: The ``Component`` that produced ``final_result``.
-
-        final_context: The ``Context`` associated with ``final_result``.
-
-        failure_reason: Human-readable reason when ``success`` is ``False``.
-        all_results: List of ``ModelOutputThunk`` from every iteration.
-        all_validations: Nested list — ``all_validations[i]`` is the list of
-            ``(Requirement, ValidationResult)`` tuples for iteration *i*.
-    """
-
-    success: bool = False
-    iterations_used: int = 0
-    final_result: Any = None
-    final_action: Any = None
-    final_context: Any = None
-    failure_reason: str | None = None
-    all_results: list[Any] = []
-    all_validations: list[list[tuple[Any, Any]]] = []
diff --git a/mellea/plugins/hooks/session.py b/mellea/plugins/hooks/session.py
deleted file mode 100644
index 321f154ee..000000000
--- a/mellea/plugins/hooks/session.py
+++ /dev/null
@@ -1,64 +0,0 @@
-"""Session lifecycle hook payloads."""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING, Any
-
-from mellea.plugins.base import MelleaBasePayload
-
-if TYPE_CHECKING:
-    pass
-
-
-class SessionPreInitPayload(MelleaBasePayload):
-    """Payload for ``session_pre_init`` — before backend initialization.
-
-    Attributes:
-        backend_name: Name of the backend (e.g. ``"ollama"``, ``"openai"``).
-        model_id: Model identifier string (writable).
-        model_options: Optional dict of model options like temperature, max_tokens (writable).
-        context_type: Class name of the context being used (e.g. ``"SimpleContext"``).
-    """
-
-    backend_name: str
-    model_id: str
-    model_options: dict[str, Any] | None = None
-    context_type: str = "SimpleContext"
-
-
-class SessionPostInitPayload(MelleaBasePayload):
-    """Payload for ``session_post_init`` — after session is fully initialized.
-
-    Attributes:
-        session_id: UUID string identifying this session.
-        model_id: Model identifier used by the backend (e.g. ``"granite4:micro"``).
-        context: The initial ``Context`` instance for this session.
-    """
-
-    session_id: str = ""
-    model_id: str = ""
-    context: Any = None
-
-
-class SessionResetPayload(MelleaBasePayload):
-    """Payload for ``session_reset`` — when session context is reset.
-
-    Attributes:
-        previous_context: The ``Context`` that is about to be discarded (observe-only).
-
-    """
-
-    previous_context: Any = None
-
-
-class SessionCleanupPayload(MelleaBasePayload):
-    """Payload for ``session_cleanup`` — before session cleanup/teardown.
-
-    Attributes:
-        context: The ``Context`` at the time of cleanup (observe-only).
-
-        interaction_count: Number of items in the context at cleanup time.
-    """
-
-    context: Any = None
-    interaction_count: int = 0
diff --git a/mellea/plugins/hooks/tool.py b/mellea/plugins/hooks/tool.py
deleted file mode 100644
index bc92d430e..000000000
--- a/mellea/plugins/hooks/tool.py
+++ /dev/null
@@ -1,39 +0,0 @@
-"""Tool execution hook payloads."""
-
-from __future__ import annotations
-
-from typing import Any
-
-from mellea.plugins.base import MelleaBasePayload
-
-
-class ToolPreInvokePayload(MelleaBasePayload):
-    """Payload for ``tool_pre_invoke`` — before tool/function invocation.
-
-    Attributes:
-        model_tool_call: The ``ModelToolCall`` about to be executed (writable —
-            plugins may modify arguments or swap the tool entirely).
-    """
-
-    model_tool_call: Any = None
-
-
-class ToolPostInvokePayload(MelleaBasePayload):
-    """Payload for ``tool_post_invoke`` — after tool execution.
-
-    Attributes:
-        model_tool_call: The ``ModelToolCall`` that was executed.
-        tool_output: The return value of the tool function (writable —
-            plugins may transform the output before it is formatted).
-        tool_message: The ``ToolMessage`` constructed from the output.
-        execution_time_ms: Wall-clock time of the tool execution in milliseconds.
-        success: ``True`` if the tool executed without raising an exception.
-        error: The ``Exception`` raised during execution, or ``None`` on success.
-    """
-
-    model_tool_call: Any = None
-    tool_output: Any = None
-    tool_message: Any = None
-    execution_time_ms: int = 0
-    success: bool = True
-    error: Any = None
diff --git a/mellea/plugins/hooks/validation.py b/mellea/plugins/hooks/validation.py
deleted file mode 100644
index 4c7f22845..000000000
--- a/mellea/plugins/hooks/validation.py
+++ /dev/null
@@ -1,43 +0,0 @@
-"""Validation hook payloads."""
-
-from __future__ import annotations
-
-from typing import Any
-
-from mellea.plugins.base import MelleaBasePayload
-
-
-class ValidationPreCheckPayload(MelleaBasePayload):
-    """Payload for ``validation_pre_check`` — before requirement validation.
-
-    Attributes:
-        requirements: List of ``Requirement`` instances to validate (writable).
-        target: The ``CBlock`` being validated, or ``None`` when validating the full context.
-
-        context: The ``Context`` used for validation.
-
-        model_options: Dict of model options for backend-based validators (writable).
-    """
-
-    requirements: list[Any] = []
-    target: Any = None
-    context: Any = None
-    model_options: dict[str, Any] = {}
-
-
-class ValidationPostCheckPayload(MelleaBasePayload):
-    """Payload for ``validation_post_check`` — after validation completes.
-
-    Attributes:
-        requirements: List of ``Requirement`` instances that were evaluated.
-        results: List of ``ValidationResult`` instances (writable).
-        all_validations_passed: ``True`` when every requirement passed (writable).
-        passed_count: Number of requirements that passed.
-        failed_count: Number of requirements that failed.
-    """
-
-    requirements: list[Any] = []
-    results: list[Any] = []
-    all_validations_passed: bool = False
-    passed_count: int = 0
-    failed_count: int = 0
diff --git a/mellea/plugins/pluginset.py b/mellea/plugins/pluginset.py
deleted file mode 100644
index d485ee65a..000000000
--- a/mellea/plugins/pluginset.py
+++ /dev/null
@@ -1,93 +0,0 @@
-"""PluginSet — composable groups of hooks and plugins."""
-
-from __future__ import annotations
-
-from collections.abc import Callable
-from typing import Any
-
-
-class PluginSet:
-    """A named, composable group of hook functions and plugin instances.
-
-    PluginSets are inert containers — they do not register anything themselves.
-    Registration happens when they are passed to ``register()`` or
-    ``start_session(plugins=[...])``.
-
-    PluginSets can be nested: a PluginSet can contain other PluginSets.
-
-    PluginSets also support the context manager protocol for temporary activation::
-
-        with PluginSet("observability", [log_hook, audit_hook]):
-            result, ctx = instruct("Summarize this", ctx, backend)
-
-        # or async
-        async with PluginSet("guards", [safety_hook]):
-            result, ctx = await ainstruct("Generate code", ctx, backend)
-    """
-
-    def __init__(  # noqa: D107
-        self,
-        name: str,
-        items: list[Callable | Any | PluginSet],
-        *,
-        priority: int | None = None,
-    ):
-        self.name = name
-        self.items = items
-        self.priority = priority
-        self._scope_id: str | None = None
-
-    def flatten(self) -> list[tuple[Callable | Any, int | None]]:
-        """Recursively flatten nested PluginSets into ``(item, priority_override)`` pairs.
-
-        When this set has a priority, it overrides the priorities of all nested
-        items — including items inside nested ``PluginSet`` instances.
-        """
-        result: list[tuple[Callable | Any, int | None]] = []
-        for item in self.items:
-            if isinstance(item, PluginSet):
-                for sub_item, sub_prio in item.flatten():
-                    result.append(
-                        (
-                            sub_item,
-                            self.priority if self.priority is not None else sub_prio,
-                        )
-                    )
-            else:
-                result.append((item, self.priority))
-        return result
-
-    def __enter__(self) -> PluginSet:
-        """Register all plugins in this set for the duration of the ``with`` block."""
-        if self._scope_id is not None:
-            raise RuntimeError(
-                f"PluginSet {self.name!r} is already active as a context manager. "
-                "Concurrent or nested reuse of the same instance is not supported; "
-                "create a new PluginSet instance instead."
-            )
-        import uuid
-
-        from mellea.plugins.registry import register
-
-        self._scope_id = str(uuid.uuid4())
-        register(self, session_id=self._scope_id)
-        return self
-
-    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
-        """Deregister all plugins registered by this context manager entry."""
-        if self._scope_id is not None:
-            from mellea.plugins.manager import deregister_session_plugins
-
-            deregister_session_plugins(self._scope_id)
-            self._scope_id = None
-
-    async def __aenter__(self) -> PluginSet:
-        """Async variant — delegates to the synchronous ``__enter__``."""
-        return self.__enter__()
-
-    async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
-        """Async variant — delegates to the synchronous ``__exit__``."""
-        self.__exit__(exc_type, exc_val, exc_tb)
-
-    def __repr__(self) -> str:  # noqa: D105
-        return f"PluginSet({self.name!r}, {len(self.items)} items)"
diff --git a/mellea/plugins/types.py b/mellea/plugins/types.py
deleted file mode 100644
index 107c0a97d..000000000
--- a/mellea/plugins/types.py
+++ /dev/null
@@ -1,151 +0,0 @@
-"""Mellea hook type enum and hook registration."""
-
-from __future__ import annotations
-
-from enum import Enum
-from typing import Any
-
-try:
-    from cpex.framework.hooks.registry import get_hook_registry
-    from cpex.framework.models import PluginResult
-
-    _HAS_PLUGIN_FRAMEWORK = True
-except ImportError:
-    _HAS_PLUGIN_FRAMEWORK = False
-
-
-class PluginMode(str, Enum):
-    """Execution modes for Mellea plugins.
-
-    Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
-    """
-
-    SEQUENTIAL = "sequential"
-    TRANSFORM = "transform"
-    CONCURRENT = "concurrent"
-    AUDIT = "audit"
-    FIRE_AND_FORGET = "fire_and_forget"
-
-
-class HookType(str, Enum):
-    """All Mellea hook types."""
-
-    # Session Lifecycle
-    SESSION_PRE_INIT = "session_pre_init"
-    SESSION_POST_INIT = "session_post_init"
-    SESSION_RESET = "session_reset"
-    SESSION_CLEANUP = "session_cleanup"
-
-    # Component Lifecycle
-    COMPONENT_PRE_EXECUTE = "component_pre_execute"
-    COMPONENT_POST_SUCCESS = "component_post_success"
-    COMPONENT_POST_ERROR = "component_post_error"
-
-    # Generation Pipeline
-    GENERATION_PRE_CALL = "generation_pre_call"
-    GENERATION_POST_CALL = "generation_post_call"
-
-    # Validation
-    VALIDATION_PRE_CHECK = "validation_pre_check"
-    VALIDATION_POST_CHECK = "validation_post_check"
-
-    # Sampling Pipeline
-    SAMPLING_LOOP_START = "sampling_loop_start"
-    SAMPLING_ITERATION = "sampling_iteration"
-    SAMPLING_REPAIR = "sampling_repair"
-    SAMPLING_LOOP_END = "sampling_loop_end"
-
-    # Tool Execution
-    TOOL_PRE_INVOKE = "tool_pre_invoke"
-    TOOL_POST_INVOKE = "tool_post_invoke"
-
-
-# Lazily populated mapping: hook_type -> (payload_class, result_class).
-# Populated by _build_hook_registry() on first call to _register_mellea_hooks().
-_HOOK_REGISTRY: dict[str, tuple[type, type]] = {}
-
-
-def _build_hook_registry() -> dict[str, tuple[type, type]]:
-    """Build the mapping from hook types to (payload_class, PluginResult).
-
-    Imports payload classes lazily to avoid circular imports.
-    """
-    from mellea.plugins.hooks.component import (
-        ComponentPostErrorPayload,
-        ComponentPostSuccessPayload,
-        ComponentPreExecutePayload,
-    )
-    from mellea.plugins.hooks.generation import (
-        GenerationPostCallPayload,
-        GenerationPreCallPayload,
-    )
-    from mellea.plugins.hooks.sampling import (
-        SamplingIterationPayload,
-        SamplingLoopEndPayload,
-        SamplingLoopStartPayload,
-        SamplingRepairPayload,
-    )
-    from mellea.plugins.hooks.session import (
-        SessionCleanupPayload,
-        SessionPostInitPayload,
-        SessionPreInitPayload,
-        SessionResetPayload,
-    )
-    from mellea.plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
-    from mellea.plugins.hooks.validation import (
-        ValidationPostCheckPayload,
-        ValidationPreCheckPayload,
-    )
-
-    return {
-        # Session Lifecycle
-        HookType.SESSION_PRE_INIT.value: (SessionPreInitPayload, PluginResult),
-        HookType.SESSION_POST_INIT.value: (SessionPostInitPayload, PluginResult),
-        HookType.SESSION_RESET.value: (SessionResetPayload, PluginResult),
-        HookType.SESSION_CLEANUP.value: (SessionCleanupPayload, PluginResult),
-        # Component Lifecycle
-        HookType.COMPONENT_PRE_EXECUTE.value: (
-            ComponentPreExecutePayload,
-            PluginResult,
-        ),
-        HookType.COMPONENT_POST_SUCCESS.value: (
-            ComponentPostSuccessPayload,
-            PluginResult,
-        ),
-        HookType.COMPONENT_POST_ERROR.value: (ComponentPostErrorPayload, PluginResult),
-        # Generation Pipeline
-        HookType.GENERATION_PRE_CALL.value: (GenerationPreCallPayload, PluginResult),
-        HookType.GENERATION_POST_CALL.value: (GenerationPostCallPayload, PluginResult),
-        # Validation
-        HookType.VALIDATION_PRE_CHECK.value: (ValidationPreCheckPayload, PluginResult),
-        HookType.VALIDATION_POST_CHECK.value: (
-            ValidationPostCheckPayload,
-            PluginResult,
-        ),
-        # Sampling Pipeline
-        HookType.SAMPLING_LOOP_START.value: (SamplingLoopStartPayload, PluginResult),
-        HookType.SAMPLING_ITERATION.value: (SamplingIterationPayload, PluginResult),
-        HookType.SAMPLING_REPAIR.value: (SamplingRepairPayload, PluginResult),
-        HookType.SAMPLING_LOOP_END.value: (SamplingLoopEndPayload, PluginResult),
-        # Tool Execution
-        HookType.TOOL_PRE_INVOKE.value: (ToolPreInvokePayload, PluginResult),
-        HookType.TOOL_POST_INVOKE.value: (ToolPostInvokePayload, PluginResult),
-    }
-
-
-def register_mellea_hooks() -> None:
-    """Register all Mellea hook types with the ContextForge HookRegistry.
-
-    Idempotent — skips already-registered hook types.
-    """
-    if not _HAS_PLUGIN_FRAMEWORK:
-        return
-
-    global _HOOK_REGISTRY
-    if not _HOOK_REGISTRY:
-        _HOOK_REGISTRY = _build_hook_registry()
-
-    registry: Any = get_hook_registry()
-    for hook_type, (payload_cls, result_cls) in _HOOK_REGISTRY.items():
-        if not registry.is_registered(hook_type):
-            registry.register_hook(hook_type, payload_cls, result_cls)
diff --git a/mellea/stdlib/components/instruction.py b/mellea/stdlib/components/instruction.py
index 288d9e2d8..32a8a0dc1 100644
--- a/mellea/stdlib/components/instruction.py
+++ b/mellea/stdlib/components/instruction.py
@@ -47,7 +47,6 @@ def __init__(
         requirements = [] if requirements is None else requirements
         icl_examples = [] if icl_examples is None else icl_examples
         grounding_context = dict() if grounding_context is None else grounding_context
-
         # Apply templates. All inputs must be strings if provided.
         if user_variables is not None:
             if description is not None:
diff --git a/mellea/stdlib/components/mify.py b/mellea/stdlib/components/mify.py
index c54f16056..2ef6baa31 100644
--- a/mellea/stdlib/components/mify.py
+++ b/mellea/stdlib/components/mify.py
@@ -400,10 +400,8 @@ def _get_non_duplicate_members(
         inspect.getmembers(
             obj,
             # Checks for ismethod or isfunction because of the methods added from the MifiedProtocol.
-            predicate=lambda x: (
-                (inspect.ismethod(x) or inspect.isfunction(x))
-                and x.__name__ not in dict(inspect.getmembers(check_duplicates)).keys()
-            ),
+            predicate=lambda x: (inspect.ismethod(x) or inspect.isfunction(x))
+            and x.__name__ not in dict(inspect.getmembers(check_duplicates)).keys(),
         )
     )
     return members
@@ -426,9 +424,8 @@ def _get_non_duplicate_fields(
         if k not in dict(
             inspect.getmembers(
                 check_duplicates,
-                predicate=lambda x: (
-                    not inspect.isfunction(x) and not inspect.ismethod(x)
-                ),
+                predicate=lambda x: not inspect.isfunction(x)
+                and not inspect.ismethod(x),
             )
         ):
             narrowed[k] = v
diff --git a/mellea/stdlib/functional.py b/mellea/stdlib/functional.py
index 41aa1fbf7..b2e1b4290 100644
--- a/mellea/stdlib/functional.py
+++ b/mellea/stdlib/functional.py
@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 import asyncio
-import time
 from collections.abc import Coroutine
 from typing import Any, Literal, overload
 
@@ -20,7 +19,6 @@
     GenerateLog,
     ImageBlock,
     ModelOutputThunk,
-    ModelToolCall,
     Requirement,
     S,
     SamplingResult,
@@ -28,9 +26,6 @@
     ValidationResult,
 )
 from ..helpers import _run_async_in_thread
-from ..plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
 from ..telemetry import set_span_attribute, trace_application
 from .components import Instruction, Message, MObjectProtocol, ToolMessage, mify
 from .context import SimpleContext
@@ -481,9 +476,6 @@ async def aact(
     Returns:
         A (ModelOutputThunk, Context) if `return_sampling_results` is `False`, else returns a `SamplingResult`.
     """
-    import time
-    import traceback
-
     with trace_application(
         "aact",
         action_type=action.__class__.__name__,
@@ -499,164 +491,96 @@ async def aact(
                 "\nSee the async section of the tutorial: https://github.com/generative-computing/mellea/blob/main/docs/tutorial.md#chapter-12-asynchronicity"
             )
 
-        _component_type_name = type(action).__name__
-
-        # --- component_pre_execute hook ---
-        if has_plugins(HookType.COMPONENT_PRE_EXECUTE):
-            from ..plugins.hooks.component import ComponentPreExecutePayload
+        sampling_result: SamplingResult | None = None
+        generate_logs: list[GenerateLog] = []
 
-            pre_exec_payload = ComponentPreExecutePayload(
-                component_type=_component_type_name,
-                action=action,
-                requirements=requirements or [],
-                model_options=model_options or {},
-                format=format,
-                strategy=strategy,
-                tool_calls_enabled=tool_calls,
-            )
-            _, pre_exec_payload = await invoke_hook(
-                HookType.COMPONENT_PRE_EXECUTE, pre_exec_payload, backend=backend
+        if return_sampling_results:
+            assert strategy is not None, (
+                "Must provide a SamplingStrategy when return_sampling_results==True"
             )
-            strategy = pre_exec_payload.strategy or strategy
-            requirements = pre_exec_payload.requirements or requirements
-            model_options = pre_exec_payload.model_options or model_options
-            format = pre_exec_payload.format
-            tool_calls = pre_exec_payload.tool_calls_enabled
 
-        t0 = time.monotonic()
-
-        try:
-            sampling_result: SamplingResult | None = None
-            generate_logs: list[GenerateLog] = []
-
-            if return_sampling_results:
-                assert strategy is not None, (
-                    "Must provide a SamplingStrategy when return_sampling_results==True"
+        if strategy is None:
+            # Only use the strategy if one is provided. Add a warning if requirements were passed in though.
+            if requirements is not None and len(requirements) > 0:
+                FancyLogger.get_logger().warning(
+                    "Calling the function with NO strategy BUT requirements. No requirement is being checked!"
                 )
 
-            if strategy is None:
-                # Only use the strategy if one is provided. Add a warning if requirements were passed in though.
-                if requirements is not None and len(requirements) > 0:
-                    FancyLogger.get_logger().warning(
-                        "Calling the function with NO strategy BUT requirements. No requirement is being checked!"
-                    )
-
-                result, new_ctx = await backend.generate_from_context(
-                    action,
-                    ctx=context,
-                    format=format,
-                    model_options=model_options,
-                    tool_calls=tool_calls,
-                )
-                await result.avalue()
+            result, new_ctx = await backend.generate_from_context(
+                action,
+                ctx=context,
+                format=format,
+                model_options=model_options,
+                tool_calls=tool_calls,
+            )
+            await result.avalue()
 
-                # ._generate_log should never be None after generation.
-                assert result._generate_log is not None
-                result._generate_log.is_final_result = True
-                generate_logs.append(result._generate_log)
+            # ._generate_log should never be None after generation.
+            assert result._generate_log is not None
+            result._generate_log.is_final_result = True
+            generate_logs.append(result._generate_log)
 
-            else:
-                # Always sample if a strategy is provided, even if no requirements were provided.
-                # Some sampling strategies don't use requirements or set them when instantiated.
-
-                sampling_result = await strategy.sample(
-                    action,
-                    context=context,
-                    backend=backend,
-                    requirements=requirements,
-                    validation_ctx=None,
-                    format=format,
-                    model_options=model_options,
-                    tool_calls=tool_calls,
-                )
+        else:
+            # Always sample if a strategy is provided, even if no requirements were provided.
+            # Some sampling strategies don't use requirements or set them when instantiated.
+
+            sampling_result = await strategy.sample(
+                action,
+                context=context,
+                backend=backend,
+                requirements=requirements,
+                validation_ctx=None,
+                format=format,
+                model_options=model_options,
+                tool_calls=tool_calls,
+            )
 
-                assert sampling_result.sample_generations is not None
-                for result in sampling_result.sample_generations:
-                    assert (
-                        result._generate_log is not None
-                    )  # Cannot be None after generation.
-                    generate_logs.append(result._generate_log)
-
-                new_ctx = sampling_result.result_ctx
-                result = sampling_result.result
-                assert sampling_result.result._generate_log is not None
-                assert sampling_result.result._generate_log.is_final_result, (
-                    "generate logs from the final result returned by the sampling strategy must be marked as final"
-                )
+            assert sampling_result.sample_generations is not None
+            for result in sampling_result.sample_generations:
+                assert (
+                    result._generate_log is not None
+                )  # Cannot be None after generation.
+                generate_logs.append(result._generate_log)
 
-            # Add span attributes for the result
-            set_span_attribute(span, "num_generate_logs", len(generate_logs))
-            if sampling_result:
-                set_span_attribute(
-                    span, "sampling_success", bool(sampling_result.result)
-                )
+            new_ctx = sampling_result.result_ctx
+            result = sampling_result.result
+            assert sampling_result.result._generate_log is not None
+            assert sampling_result.result._generate_log.is_final_result, (
+                "generate logs from the final result returned by the sampling strategy must be marked as final"
+            )
 
-            # Log the model response (truncated for large responses)
-            try:
-                response_value = (
-                    str(result.value)
-                    if hasattr(result, "value") and result.value
-                    else str(result)
-                )
-                # Truncate to 500 chars to avoid overwhelming trace storage
-                if len(response_value) > 500:
-                    response_value = response_value[:500] + "..."
-                set_span_attribute(span, "response", response_value)
-                set_span_attribute(
-                    span,
-                    "response_length",
-                    len(str(result.value) if hasattr(result, "value") else str(result)),
-                )
-            except Exception:
-                # If we can't get the response, don't fail the trace
-                pass
-
-            # --- component_post_success hook ---
-            if has_plugins(HookType.COMPONENT_POST_SUCCESS):
-                from ..plugins.hooks.component import ComponentPostSuccessPayload
-
-                success_payload = ComponentPostSuccessPayload(
-                    component_type=_component_type_name,
-                    action=action,
-                    result=result,
-                    context_before=context,
-                    context_after=new_ctx,
-                    generate_log=generate_logs[-1] if generate_logs else None,
-                    sampling_results=sampling_result.sample_generations
-                    if sampling_result
-                    else None,
-                    latency_ms=int((time.monotonic() - t0) * 1000),
-                )
-                await invoke_hook(
-                    HookType.COMPONENT_POST_SUCCESS, success_payload, backend=backend
-                )
+        # Add span attributes for the result
+        set_span_attribute(span, "num_generate_logs", len(generate_logs))
+        if sampling_result:
+            set_span_attribute(span, "sampling_success", bool(sampling_result.result))
 
-            if return_sampling_results:
-                assert (
-                    sampling_result is not None
-                )  # Needed for the type checker but should never happen.
-                return sampling_result
-            else:
-                return result, new_ctx
-
-        except Exception as exc:
-            # --- component_post_error hook ---
-            if has_plugins(HookType.COMPONENT_POST_ERROR):
-                from ..plugins.hooks.component import ComponentPostErrorPayload
-
-                error_payload = ComponentPostErrorPayload(
-                    component_type=_component_type_name,
-                    action=action,
-                    error=exc,
-                    error_type=type(exc).__name__,
-                    stack_trace=traceback.format_exc(),
-                    context=context,
-                    model_options=model_options or {},
-                )
-                await invoke_hook(
-                    HookType.COMPONENT_POST_ERROR, error_payload, backend=backend
-                )
-            raise
+        # Log the model response (truncated for large responses)
+        try:
+            response_value = (
+                str(result.value)
+                if hasattr(result, "value") and result.value
+                else str(result)
+            )
+            # Truncate to 500 chars to avoid overwhelming trace storage
+            if len(response_value) > 500:
+                response_value = response_value[:500] + "..."
+            set_span_attribute(span, "response", response_value)
+            set_span_attribute(
+                span,
+                "response_length",
+                len(str(result.value) if hasattr(result, "value") else str(result)),
+            )
+        except Exception:
+            # If we can't get the response, don't fail the trace
+            pass
+
+        if return_sampling_results:
+            assert (
+                sampling_result is not None
+            )  # Needed for the type checker but should never happen.
+            return sampling_result
+        else:
+            return result, new_ctx
 
 
 @overload
@@ -835,22 +759,6 @@ async def avalidate(
             validation_target_ctx = validation_target_ctx.add(input)
         validation_target_ctx = validation_target_ctx.add(output)
 
-    # --- validation_pre_check hook ---
-    if has_plugins(HookType.VALIDATION_PRE_CHECK):
-        from ..plugins.hooks.validation import ValidationPreCheckPayload
-
-        pre_payload = ValidationPreCheckPayload(
-            requirements=reqs,
-            target=output,
-            context=validation_target_ctx,
-            model_options=model_options or {},
-        )
-        _, pre_payload = await invoke_hook(
-            HookType.VALIDATION_PRE_CHECK, pre_payload, backend=backend
-        )
-        reqs = pre_payload.requirements
-        model_options = pre_payload.model_options or model_options
-
     rvs: list[ValidationResult] = []
     coroutines: list[Coroutine[Any, Any, ValidationResult]] = []
 
@@ -879,22 +787,6 @@ async def avalidate(
                 #       up with GenerateLogs.
                 generate_logs.append(None)  # type: ignore
 
-    # --- validation_post_check hook ---
-    if has_plugins(HookType.VALIDATION_POST_CHECK):
-        from ..plugins.hooks.validation import ValidationPostCheckPayload
-
-        post_payload = ValidationPostCheckPayload(
-            requirements=reqs,
-            results=rvs,
-            all_validations_passed=all(bool(r) for r in rvs),
-            passed_count=sum(1 for r in rvs if bool(r)),
-            failed_count=sum(1 for r in rvs if not bool(r)),
-        )
-        _, post_payload = await invoke_hook(
-            HookType.VALIDATION_POST_CHECK, post_payload, backend=backend
-        )
-        rvs = post_payload.results
-
     return rvs
 
 
@@ -982,7 +874,7 @@ async def atransform(
         tool_calls=True,
     )
 
-    tools = await _acall_tools(transformed, backend)
+    tools = _call_tools(transformed, backend)
 
     # Transform only supports calling one tool call since it cannot currently synthesize multiple outputs.
     # Attempt to choose the best one to call.
@@ -1052,83 +944,26 @@ def _call_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]
     Returns:
         list[ToolMessage]: A list of tool messages that can be empty.
     """
-    return _run_async_in_thread(_acall_tools(result, backend))
-
-
-async def _acall_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolMessage]:
-    """Call all the tools requested in a result's tool calls object.
-
-    Call tools with tool_pre_invoke / tool_post_invoke hook support.
-
-    Returns:
-        list[ToolMessage]: A list of tool messages that can be empty.
-    """
+    # There might be multiple tool calls returned.
     outputs: list[ToolMessage] = []
     tool_calls = result.tool_calls
-    if not tool_calls:
-        return outputs
-
-    for name, tool in tool_calls.items():
-        # --- tool_pre_invoke ---
-        if has_plugins(HookType.TOOL_PRE_INVOKE):
-            pre_payload = ToolPreInvokePayload(model_tool_call=tool)
-            _, pre_payload = await invoke_hook(
-                HookType.TOOL_PRE_INVOKE, pre_payload, backend=backend
-            )
-            if pre_payload.model_tool_call is not tool and isinstance(
-                pre_payload.model_tool_call, ModelToolCall
-            ):
-                tool = pre_payload.model_tool_call
-
-        # --- execute the tool ---
-        t0 = time.monotonic()
-        success = True
-        error: Exception | None = None
-        try:
-            output = tool.call_func()
-        except Exception as e:
-            output = e
-            success = False
-            error = e
-        latency_ms = int((time.monotonic() - t0) * 1000)
-
-        # Default to the output. Attempt to properly print it. If that doesn't result in a str,
-        # stringify it.
-        content = str(output)
-        if isinstance(backend, FormatterBackend):
-            content = backend.formatter.print(output)  # type: ignore
-            content = str(content)
-
-        tool_msg = ToolMessage(
-            role="tool",
-            content=content,
-            tool_output=output,
-            name=name,
-            args=tool.args,
-            tool=tool,
-        )
-
-        # --- tool_post_invoke ---
-        if has_plugins(HookType.TOOL_POST_INVOKE):
-            post_payload = ToolPostInvokePayload(
-                model_tool_call=tool,
-                tool_output=output,
-                tool_message=tool_msg,
-                execution_time_ms=latency_ms,
-                success=success,
-                error=error,
-            )
-            _, post_payload = await invoke_hook(
-                HookType.TOOL_POST_INVOKE, post_payload, backend=backend
-            )
-            # If a plugin modified tool_output, reformat and rebuild the ToolMessage
-            if post_payload.tool_output is not output:
-                output = post_payload.tool_output
-                content = str(output)
-                if isinstance(backend, FormatterBackend):
-                    content = backend.formatter.print(output)  # type: ignore
-                    content = str(content)
-                tool_msg = ToolMessage(
+    if tool_calls:
+        # Call the tools and decide what to do.
+        for name, tool in tool_calls.items():
+            try:
+                output = tool.call_func()
+            except Exception as e:
+                output = e
+
+            # Default to the output. Attempt to properly print it. If that doesn't result in a str,
+            # stringify it.
+            content = str(output)
+            if isinstance(backend, FormatterBackend):
+                content = backend.formatter.print(output)  # type: ignore
+                content = str(content)
+
+            outputs.append(
+                ToolMessage(
                     role="tool",
                     content=content,
                     tool_output=output,
@@ -1136,7 +971,5 @@ async def _acall_tools(result: ModelOutputThunk, backend: Backend) -> list[ToolM
                     args=tool.args,
                     tool=tool,
                 )
-
-        outputs.append(tool_msg)
-
+            )
     return outputs
diff --git a/mellea/stdlib/sampling/base.py b/mellea/stdlib/sampling/base.py
index ed49e5632..5cb938da0 100644
--- a/mellea/stdlib/sampling/base.py
+++ b/mellea/stdlib/sampling/base.py
@@ -32,8 +32,6 @@
     SamplingStrategy,
     ValidationResult,
 )
-from ...plugins.manager import has_plugins, invoke_hook
-from ...plugins.types import HookType
 from ...stdlib import functional as mfuncs
 from ..components import Instruction, Message
 from ..context import ChatContext
@@ -162,28 +160,10 @@ async def sample(
         reqs = list(set(reqs))
 
         loop_count = 0
-
-        # --- sampling_loop_start hook ---
-        effective_loop_budget = self.loop_budget
-        if has_plugins(HookType.SAMPLING_LOOP_START):
-            from ...plugins.hooks.sampling import SamplingLoopStartPayload
-
-            start_payload = SamplingLoopStartPayload(
-                strategy_name=type(self).__name__,
-                action=action,
-                context=context,
-                requirements=reqs,
-                loop_budget=self.loop_budget,
-            )
-            _, start_payload = await invoke_hook(
-                HookType.SAMPLING_LOOP_START, start_payload, backend=backend
-            )
-            effective_loop_budget = start_payload.loop_budget
-
         loop_budget_range_iterator = (
-            tqdm.tqdm(range(effective_loop_budget))  # type: ignore
+            tqdm.tqdm(range(self.loop_budget))  # type: ignore
             if show_progress
-            else range(effective_loop_budget)  # type: ignore
+            else range(self.loop_budget)  # type: ignore
         )
 
         next_action = deepcopy(action)
@@ -231,50 +211,14 @@ async def sample(
             sampled_actions.append(next_action)
             sample_contexts.append(result_ctx)
 
-            all_validations_passed = all(bool(s[1]) for s in constraint_scores)
-
-            # --- sampling_iteration hook ---
-            if has_plugins(HookType.SAMPLING_ITERATION):
-                from ...plugins.hooks.sampling import SamplingIterationPayload
-
-                iter_payload = SamplingIterationPayload(
-                    iteration=loop_count,
-                    action=next_action,
-                    result=result,
-                    validation_results=constraint_scores,
-                    all_validations_passed=all_validations_passed,
-                    valid_count=sum(1 for s in constraint_scores if bool(s[1])),
-                    total_count=len(constraint_scores),
-                )
-                await invoke_hook(
-                    HookType.SAMPLING_ITERATION, iter_payload, backend=backend
-                )
-
             # if all vals are true -- break and return success
-            if all_validations_passed:
+            if all(bool(s[1]) for s in constraint_scores):
                 flog.info("SUCCESS")
                 assert (
                     result._generate_log is not None
                 )  # Cannot be None after generation.
                 result._generate_log.is_final_result = True
 
-                # --- sampling_loop_end hook (success) ---
-                if has_plugins(HookType.SAMPLING_LOOP_END):
-                    from ...plugins.hooks.sampling import SamplingLoopEndPayload
-
-                    end_payload = SamplingLoopEndPayload(
-                        success=True,
-                        iterations_used=loop_count,
-                        final_result=result,
-                        final_action=next_action,
-                        final_context=result_ctx,
-                        all_results=sampled_results,
-                        all_validations=sampled_scores,
-                    )
-                    await invoke_hook(
-                        HookType.SAMPLING_LOOP_END, end_payload, backend=backend
-                    )
-
                 # SUCCESS !!!!
                 return SamplingResult(
                     result_index=len(sampled_results) - 1,
@@ -309,23 +253,6 @@ async def sample(
                 sampled_scores,
             )
 
-            # --- sampling_repair hook ---
-            if has_plugins(HookType.SAMPLING_REPAIR):
-                from ...plugins.hooks.sampling import SamplingRepairPayload
-
-                repair_payload = SamplingRepairPayload(
-                    repair_type=getattr(self, "_get_repair_type", lambda: "unknown")(),
-                    failed_action=sampled_actions[-1],
-                    failed_result=sampled_results[-1],
-                    failed_validations=sampled_scores[-1],
-                    repair_action=next_action,
-                    repair_context=next_context,
-                    repair_iteration=loop_count,
-                )
-                await invoke_hook(
-                    HookType.SAMPLING_REPAIR, repair_payload, backend=backend
-                )
-
         flog.info(
             f"Invoking select_from_failure after {len(sampled_results)} failed attempts."
         )
@@ -343,25 +270,6 @@ async def sample(
         )  # Cannot be None after generation.
         sampled_results[best_failed_index]._generate_log.is_final_result = True  # type: ignore
 
-        # --- sampling_loop_end hook (failure) ---
-        if has_plugins(HookType.SAMPLING_LOOP_END):
-            from ...plugins.hooks.sampling import SamplingLoopEndPayload
-
-            _final_ctx = (
-                sample_contexts[best_failed_index] if sample_contexts else context
-            )
-            end_payload = SamplingLoopEndPayload(
-                success=False,
-                iterations_used=loop_count,
-                final_result=sampled_results[best_failed_index],
-                final_action=sampled_actions[best_failed_index],
-                final_context=_final_ctx,
-                failure_reason=f"Budget exhausted after {loop_count} iterations",
-                all_results=sampled_results,
-                all_validations=sampled_scores,
-            )
-            await invoke_hook(HookType.SAMPLING_LOOP_END, end_payload, backend=backend)
-
         return SamplingResult(
             result_index=best_failed_index,
             success=False,
diff --git a/mellea/stdlib/session.py b/mellea/stdlib/session.py
index 784923d9f..880d1391a 100644
--- a/mellea/stdlib/session.py
+++ b/mellea/stdlib/session.py
@@ -26,9 +26,6 @@
     SamplingStrategy,
     ValidationResult,
 )
-from ..helpers import _run_async_in_thread
-from ..plugins.manager import has_plugins, invoke_hook
-from ..plugins.types import HookType
 from ..stdlib import functional as mfuncs
 from ..telemetry import set_span_attribute, trace_application
 from .components import Message
@@ -105,7 +102,6 @@ def start_session(
     ctx: Context | None = None,
     *,
     model_options: dict | None = None,
-    plugins: list[Any] | None = None,
     **backend_kwargs,
 ) -> MelleaSession:
     """Start a new Mellea session. Can be used as a context manager or called directly.
@@ -129,9 +125,6 @@ def start_session(
             Use ChatContext() for chat-style conversations.
         model_options: Additional model configuration options that will be passed
             to the backend (e.g., temperature, max_tokens, etc.).
-        plugins: Optional list of plugins scoped to this session. Accepts
-            ``@hook``-decorated functions, ``@plugin``-decorated class instances,
-            ``MelleaPlugin`` instances, or ``PluginSet`` instances.
         **backend_kwargs: Additional keyword arguments passed to the backend constructor.
 
     Returns:
@@ -185,23 +178,6 @@ def start_session(
         model_id=model_id_str,
         context_type=ctx.__class__.__name__ if ctx else "SimpleContext",
     ):
-        # --- session_pre_init hook ---
-        if has_plugins(HookType.SESSION_PRE_INIT):
-            from ..plugins.hooks.session import SessionPreInitPayload
-
-            pre_payload = SessionPreInitPayload(
-                backend_name=backend_name,
-                model_id=model_id_str,
-                model_options=model_options,
-                context_type=ctx.__class__.__name__ if ctx else "SimpleContext",
-            )
-            _, pre_payload = _run_async_in_thread(
-                invoke_hook(HookType.SESSION_PRE_INIT, pre_payload)
-            )
-            # Apply writable field modifications
-            model_id_str = pre_payload.model_id
-            model_options = pre_payload.model_options
-
         backend_class = backend_name_to_class(backend_name)
         if backend_class is None:
             raise Exception(
@@ -219,26 +195,7 @@ def start_session(
             + (f", model_options={model_options}" if model_options else "")
         )
 
-        session = MelleaSession(backend, ctx)
-
-        # Register session-scoped plugins
-        if plugins:
-            from ..plugins.registry import register as register_plugins
-
-            register_plugins(plugins, session_id=session.id)
-
-        # --- session_post_init hook ---
-        if has_plugins(HookType.SESSION_POST_INIT):
-            from ..plugins.hooks.session import SessionPostInitPayload
-
-            post_payload = SessionPostInitPayload(
-                session_id=session.id, model_id=model_id_str, context=session.ctx
-            )
-            _run_async_in_thread(
-                invoke_hook(HookType.SESSION_POST_INIT, post_payload, backend=backend)
-            )
-
-        return session
+        return MelleaSession(backend, ctx)
 
 
 class MelleaSession:
@@ -264,9 +221,6 @@ def __init__(self, backend: Backend, ctx: Context | None = None):
             backend (Backend): This is always required.
             ctx (Context): The way in which the model's context will be managed. By default, each interaction with the model is a stand-alone interaction, so we use SimpleContext as the default.
         """
-        import uuid
-
-        self.id = str(uuid.uuid4())
         self.backend = backend
         self.ctx: Context = ctx if ctx is not None else SimpleContext()
         self._session_logger = FancyLogger.get_logger()
@@ -329,34 +283,10 @@ def clone(self):
 
     def reset(self):
         """Reset the context state."""
-        if has_plugins(HookType.SESSION_RESET):
-            from ..plugins.hooks.session import SessionResetPayload
-
-            payload = SessionResetPayload(previous_context=self.ctx)
-            _run_async_in_thread(
-                invoke_hook(HookType.SESSION_RESET, payload, backend=self.backend)
-            )
         self.ctx = self.ctx.reset_to_new()
 
     def cleanup(self) -> None:
         """Clean up session resources."""
-        if has_plugins(HookType.SESSION_CLEANUP):
-            from ..plugins.hooks.session import SessionCleanupPayload
-
-            payload = SessionCleanupPayload(
-                context=self.ctx, interaction_count=len(self.ctx.as_list())
-            )
-            _run_async_in_thread(
-                invoke_hook(HookType.SESSION_CLEANUP, payload, backend=self.backend)
-            )
-
-        # Deregister session-scoped plugins — must run whenever plugins are
-        # enabled, regardless of whether any plugin subscribes to SESSION_CLEANUP.
-        if has_plugins():
-            from ..plugins.manager import deregister_session_plugins
-
-            deregister_session_plugins(self.id)
-
         self.reset()
         if hasattr(self.backend, "close"):
             self.backend.close()  # type: ignore
diff --git a/pyproject.toml b/pyproject.toml
index 27844bc64..65d2cede9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -99,12 +99,7 @@ sandbox = [
 
 backends = ["mellea[watsonx,hf,vllm,litellm]"]
 
-hooks = [
-    "cpex>=0.1.0.dev10; python_version >= '3.11'",
-    "grpcio>=1.78.0",
-]
-
-all = ["mellea[backends,docling,tools,telemetry,server,sandbox,granite_retriever,hooks]"]
+all = ["mellea[backends,docling,tools,telemetry,server,sandbox,granite_retriever]"]
 
 [dependency-groups]
 # Development groups: uv sync --all-groups
@@ -122,7 +117,6 @@ test = [
     "pytest-asyncio",
     "pytest-cov>=6.0.0",
     "pytest-timeout",  # For test suite timeout configuration
-    "pytest-recording",  # For blocking network access and using canned server responses
     "pytest-xdist>=3.8.0", # For concurrent test execution (uv run pytest -n auto test/)
     "psutil",  # For test infrastructure: RAM detection in conftest.py
     "nbmake>=1.5.5",  # Notebook testing
diff --git a/test/conftest.py b/test/conftest.py
index b140d8eba..5c794ef18 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -206,11 +206,6 @@ def pytest_configure(config):
         "markers", "llm: Tests that make LLM calls (needs at least Ollama)"
     )
 
-    # Plugin acceptance markers
-    config.addinivalue_line(
-        "markers", "plugins: Acceptance tests that register all built-in plugin sets"
-    )
-
     # Store vLLM isolation flag in config
     config._vllm_process_isolation = False
 
diff --git a/test/core/test_astream_exception_propagation.py b/test/core/test_astream_exception_propagation.py
index cd441250a..490cd0c9b 100644
--- a/test/core/test_astream_exception_propagation.py
+++ b/test/core/test_astream_exception_propagation.py
@@ -5,8 +5,6 @@
 (which assumes system invariants that don't hold during failures).
 """
 
-import datetime
-
 import pytest
 
 from mellea.core.base import CBlock, GenerateType, ModelOutputThunk
@@ -29,7 +27,6 @@ def _make_thunk(post_process=_failing_post_process):
     mot._post_process = post_process
     mot._action = CBlock("test")
     mot._chunk_size = 0
-    mot._start = datetime.datetime.now()
     return mot
 
 
diff --git a/test/decompose/test_decompose.py b/test/decompose/test_decompose.py
index 883ff905f..d2bac8446 100644
--- a/test/decompose/test_decompose.py
+++ b/test/decompose/test_decompose.py
@@ -25,6 +25,7 @@ def test_no_dependencies(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -33,6 +34,7 @@ def test_no_dependencies(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -41,6 +43,7 @@ def test_no_dependencies(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -62,6 +65,7 @@ def test_simple_linear_dependency(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
@@ -70,6 +74,7 @@ def test_simple_linear_dependency(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -78,6 +83,7 @@ def test_simple_linear_dependency(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -107,6 +113,7 @@ def test_diamond_dependency(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -115,6 +122,7 @@ def test_diamond_dependency(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -123,6 +131,7 @@ def test_diamond_dependency(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -144,6 +153,7 @@ def test_case_insensitive_dependencies(self) -> None:
                 "tag": "task_b",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],  # Uppercase reference
             },
@@ -152,6 +162,7 @@ def test_case_insensitive_dependencies(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -172,6 +183,7 @@ def test_multiple_independent_chains(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -180,6 +192,7 @@ def test_multiple_independent_chains(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -197,6 +210,7 @@ def test_multiple_independent_chains(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -221,6 +235,7 @@ def test_nonexistent_dependency_ignored(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [
                     "TASK_A",
@@ -232,6 +247,7 @@ def test_nonexistent_dependency_ignored(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -252,6 +268,7 @@ def test_renumbers_subtask_descriptions(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
@@ -260,6 +277,7 @@ def test_renumbers_subtask_descriptions(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -268,6 +286,7 @@ def test_renumbers_subtask_descriptions(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -289,6 +308,7 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -297,6 +317,7 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -325,6 +346,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -333,6 +355,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -341,6 +364,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -368,6 +392,7 @@ def test_circular_dependency_two_nodes(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
@@ -376,6 +401,7 @@ def test_circular_dependency_two_nodes(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -392,6 +418,7 @@ def test_circular_dependency_three_nodes(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_C"],
             },
@@ -400,6 +427,7 @@ def test_circular_dependency_three_nodes(self) -> None:
                 "tag": "TASK_B",
                 "constraints": [],
                 "prompt_template": "Do B",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -408,6 +436,7 @@ def test_circular_dependency_three_nodes(self) -> None:
                 "tag": "TASK_C",
                 "constraints": [],
                 "prompt_template": "Do C",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
@@ -424,6 +453,7 @@ def test_self_dependency(self) -> None:
                 "tag": "TASK_A",
                 "constraints": [],
                 "prompt_template": "Do A",
+                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             }
diff --git a/test/plugins/__init__.py b/test/plugins/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/test/plugins/_acceptance_sets.py b/test/plugins/_acceptance_sets.py
deleted file mode 100644
index 62066dc7f..000000000
--- a/test/plugins/_acceptance_sets.py
+++ /dev/null
@@ -1,53 +0,0 @@
-"""Plugin sets covering every HookType x PluginMode for acceptance tests.
-
-Each set contains one hook per call site in a single execution mode:
-  1. logging_plugin_set  — AUDIT (observe-only)
-  2. sequential_plugin_set — SEQUENTIAL (serial, can block + modify)
-  3. concurrent_plugin_set — CONCURRENT (parallel, can block only)
-  4. fandf_plugin_set — FIRE_AND_FORGET (background, observe-only)
-"""
-
-from mellea.plugins import HookType, PluginMode, PluginSet, hook
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-_ALL_HOOK_TYPES = list(HookType)
-
-
-def _make_hooks(prefix: str, mode: PluginMode):
-    """Generate one async hook function per HookType in the given mode."""
-    hooks = []
-    for ht in _ALL_HOOK_TYPES:
-
-        @hook(ht, mode=mode)
-        async def _hook(payload, ctx, _ht=ht, _prefix=prefix):
-            print(f"[{_prefix}] {_ht.value}:", payload)
-
-        # Give each closure a unique qualname so the adapter names don't clash.
-        _hook.__qualname__ = f"{prefix}_{ht.value}"
-        _hook.__name__ = f"{prefix}_{ht.value}"
-        hooks.append(_hook)
-    return hooks
-
-
-# ---------------------------------------------------------------------------
-# Plugin sets
-# ---------------------------------------------------------------------------
-
-logging_plugin_set = PluginSet("logging", _make_hooks("log", PluginMode.AUDIT))
-sequential_plugin_set = PluginSet(
-    "sequential", _make_hooks("seq", PluginMode.SEQUENTIAL)
-)
-concurrent_plugin_set = PluginSet(
-    "concurrent", _make_hooks("concurrent", PluginMode.CONCURRENT)
-)
-fandf_plugin_set = PluginSet("fandf", _make_hooks("fandf", PluginMode.FIRE_AND_FORGET))
-
-ALL_ACCEPTANCE_SETS = [
-    logging_plugin_set,
-    sequential_plugin_set,
-    concurrent_plugin_set,
-    fandf_plugin_set,
-]
diff --git a/test/plugins/test_all_payloads.py b/test/plugins/test_all_payloads.py
deleted file mode 100644
index b1b93401a..000000000
--- a/test/plugins/test_all_payloads.py
+++ /dev/null
@@ -1,973 +0,0 @@
-"""Tests for all remaining hook payload models not covered in test_payloads.py.
-
-Covers:
-- SessionPostInitPayload, SessionResetPayload, SessionCleanupPayload
-- ComponentPreExecutePayload, ComponentPostSuccessPayload, ComponentPostErrorPayload
-- GenerationPostCallPayload
-- ValidationPreCheckPayload, ValidationPostCheckPayload
-- SamplingLoopStartPayload, SamplingIterationPayload,
-  SamplingRepairPayload, SamplingLoopEndPayload
-- ToolPreInvokePayload, ToolPostInvokePayload
-"""
-
-import pytest
-from pydantic import ValidationError
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins.base import MelleaBasePayload
-from mellea.plugins.hooks.component import (
-    ComponentPostErrorPayload,
-    ComponentPostSuccessPayload,
-    ComponentPreExecutePayload,
-)
-from mellea.plugins.hooks.generation import GenerationPostCallPayload
-from mellea.plugins.hooks.sampling import (
-    SamplingIterationPayload,
-    SamplingLoopEndPayload,
-    SamplingLoopStartPayload,
-    SamplingRepairPayload,
-)
-from mellea.plugins.hooks.session import (
-    SessionCleanupPayload,
-    SessionPostInitPayload,
-    SessionResetPayload,
-)
-from mellea.plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
-from mellea.plugins.hooks.validation import (
-    ValidationPostCheckPayload,
-    ValidationPreCheckPayload,
-)
-
-# ---------------------------------------------------------------------------
-# Sentinel objects used as stand-ins for live Mellea references (Any fields).
-# ---------------------------------------------------------------------------
-_SENTINEL_SESSION = object()
-_SENTINEL_CONTEXT = object()
-_SENTINEL_ACTION = object()
-_SENTINEL_COMPONENT = object()
-_SENTINEL_RESULT = object()
-_SENTINEL_STRATEGY = object()
-_SENTINEL_FORMAT = object()
-_SENTINEL_GENERATE_LOG = object()
-_SENTINEL_ERROR = RuntimeError("boom")
-_SENTINEL_CALLABLE = lambda: None  # noqa: E731
-_SENTINEL_TOOL_CALL = object()
-_SENTINEL_TOOL_MESSAGE = object()
-_SENTINEL_REQUIREMENT = object()
-_SENTINEL_VALIDATION_RESULT = object()
-
-
-# ===========================================================================
-# Session payloads
-# ===========================================================================
-
-
-class TestSessionPostInitPayload:
-    def test_defaults(self):
-        payload = SessionPostInitPayload()
-        assert payload.session_id == ""
-        assert payload.model_id == ""
-        assert payload.context is None
-        assert payload.request_id == ""
-        assert payload.hook == ""
-        assert payload.user_metadata == {}
-        assert payload.timestamp is not None
-
-    def test_construction_with_values(self):
-        payload = SessionPostInitPayload(
-            session_id="s-001",
-            model_id="granite4:micro",
-            context=_SENTINEL_CONTEXT,
-            request_id="r-001",
-            hook="session_post_init",
-        )
-        assert payload.session_id == "s-001"
-        assert payload.model_id == "granite4:micro"
-        assert payload.context is _SENTINEL_CONTEXT
-        assert payload.request_id == "r-001"
-        assert payload.hook == "session_post_init"
-
-    def test_frozen(self):
-        payload = SessionPostInitPayload(session_id="s-001")
-        with pytest.raises(ValidationError):
-            payload.session_id = "s-002"
-
-    def test_frozen_base_field(self):
-        payload = SessionPostInitPayload(request_id="r-001")
-        with pytest.raises(ValidationError):
-            payload.request_id = "r-002"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SessionPostInitPayload(
-            session_id="s-001", model_id="gpt-4", request_id="r-001"
-        )
-        modified = payload.model_copy(update={"model_id": "gpt-3.5"})
-        assert modified.model_id == "gpt-3.5"
-        assert payload.model_id == "gpt-4"
-        assert modified.request_id == "r-001"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SessionPostInitPayload, MelleaBasePayload)
-        payload = SessionPostInitPayload(
-            session_id="s-abc",
-            request_id="r-abc",
-            hook="my_hook",
-            user_metadata={"env": "test"},
-        )
-        assert payload.session_id == "s-abc"
-        assert payload.user_metadata == {"env": "test"}
-
-
-class TestSessionResetPayload:
-    def test_defaults(self):
-        payload = SessionResetPayload()
-        assert payload.previous_context is None
-        assert payload.session_id is None
-        assert payload.request_id == ""
-
-    def test_construction_with_values(self):
-        payload = SessionResetPayload(
-            previous_context=_SENTINEL_CONTEXT, session_id="s-002", hook="session_reset"
-        )
-        assert payload.previous_context is _SENTINEL_CONTEXT
-        assert payload.session_id == "s-002"
-        assert payload.hook == "session_reset"
-
-    def test_frozen(self):
-        payload = SessionResetPayload(previous_context=_SENTINEL_CONTEXT)
-        with pytest.raises(ValidationError):
-            payload.previous_context = object()
-
-    def test_frozen_base_field(self):
-        payload = SessionResetPayload(hook="session_reset")
-        with pytest.raises(ValidationError):
-            payload.hook = "other_hook"
-
-    def test_model_copy_creates_modified_copy(self):
-        new_ctx = object()
-        payload = SessionResetPayload(
-            previous_context=_SENTINEL_CONTEXT, session_id="s-002"
-        )
-        modified = payload.model_copy(update={"previous_context": new_ctx})
-        assert modified.previous_context is new_ctx
-        assert payload.previous_context is _SENTINEL_CONTEXT
-        assert modified.session_id == "s-002"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SessionResetPayload, MelleaBasePayload)
-
-
-class TestSessionCleanupPayload:
-    def test_defaults(self):
-        payload = SessionCleanupPayload()
-        assert payload.context is None
-        assert payload.interaction_count == 0
-        assert payload.session_id is None
-
-    def test_construction_with_values(self):
-        payload = SessionCleanupPayload(
-            context=_SENTINEL_CONTEXT,
-            interaction_count=42,
-            session_id="s-003",
-            hook="session_cleanup",
-        )
-        assert payload.context is _SENTINEL_CONTEXT
-        assert payload.interaction_count == 42
-        assert payload.session_id == "s-003"
-
-    def test_frozen(self):
-        payload = SessionCleanupPayload(interaction_count=5)
-        with pytest.raises(ValidationError):
-            payload.interaction_count = 6
-
-    def test_frozen_context_field(self):
-        payload = SessionCleanupPayload(context=_SENTINEL_CONTEXT)
-        with pytest.raises(ValidationError):
-            payload.context = object()
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SessionCleanupPayload(context=_SENTINEL_CONTEXT, interaction_count=10)
-        modified = payload.model_copy(update={"interaction_count": 99})
-        assert modified.interaction_count == 99
-        assert payload.interaction_count == 10
-        assert modified.context is _SENTINEL_CONTEXT
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SessionCleanupPayload, MelleaBasePayload)
-        payload = SessionCleanupPayload(user_metadata={"run": "cleanup"})
-        assert payload.user_metadata == {"run": "cleanup"}
-
-
-# ===========================================================================
-# Component payloads
-# ===========================================================================
-
-
-class TestComponentPreExecutePayload:
-    def test_defaults(self):
-        payload = ComponentPreExecutePayload()
-        assert payload.component_type == ""
-        assert payload.action is None
-        assert payload.context_view is None
-        assert payload.requirements == []
-        assert payload.model_options == {}
-        assert payload.format is None
-        assert payload.strategy is None
-        assert payload.tool_calls_enabled is False
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        payload = ComponentPreExecutePayload(
-            component_type="Extractor",
-            action=_SENTINEL_ACTION,
-            context_view=["msg_a", "msg_b"],
-            requirements=reqs,
-            model_options={"temperature": 0.2},
-            format=_SENTINEL_FORMAT,
-            strategy=_SENTINEL_STRATEGY,
-            tool_calls_enabled=True,
-            request_id="r-exec-001",
-        )
-        assert payload.component_type == "Extractor"
-        assert payload.action is _SENTINEL_ACTION
-        assert payload.context_view == ["msg_a", "msg_b"]
-        assert len(payload.requirements) == 2
-        assert payload.model_options == {"temperature": 0.2}
-        assert payload.format is _SENTINEL_FORMAT
-        assert payload.strategy is _SENTINEL_STRATEGY
-        assert payload.tool_calls_enabled is True
-
-    def test_frozen(self):
-        payload = ComponentPreExecutePayload(tool_calls_enabled=False)
-        with pytest.raises(ValidationError):
-            payload.tool_calls_enabled = True
-
-    def test_frozen_model_options(self):
-        payload = ComponentPreExecutePayload(model_options={"temperature": 0.5})
-        with pytest.raises(ValidationError):
-            payload.model_options = {}
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ComponentPreExecutePayload(
-            component_type="Extractor",
-            model_options={"temperature": 0.5},
-            tool_calls_enabled=False,
-        )
-        modified = payload.model_copy(
-            update={"model_options": {"temperature": 0.9}, "tool_calls_enabled": True}
-        )
-        assert modified.model_options == {"temperature": 0.9}
-        assert modified.tool_calls_enabled is True
-        assert payload.model_options == {"temperature": 0.5}
-        assert payload.tool_calls_enabled is False
-        assert modified.component_type == "Extractor"
-
-    def test_context_view_none_vs_empty(self):
-        payload_none = ComponentPreExecutePayload(context_view=None)
-        payload_list = ComponentPreExecutePayload(context_view=[])
-        assert payload_none.context_view is None
-        assert payload_list.context_view == []
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ComponentPreExecutePayload, MelleaBasePayload)
-
-
-class TestComponentPostSuccessPayload:
-    def test_defaults(self):
-        payload = ComponentPostSuccessPayload()
-        assert payload.component_type == ""
-        assert payload.action is None
-        assert payload.result is None
-        assert payload.context_before is None
-        assert payload.context_after is None
-        assert payload.generate_log is None
-        assert payload.sampling_results is None
-        assert payload.latency_ms == 0
-
-    def test_construction_with_values(self):
-        sampling = [object(), object()]
-        payload = ComponentPostSuccessPayload(
-            component_type="Instruction",
-            action=_SENTINEL_ACTION,
-            result=_SENTINEL_RESULT,
-            context_before=_SENTINEL_CONTEXT,
-            context_after=_SENTINEL_CONTEXT,
-            generate_log=_SENTINEL_GENERATE_LOG,
-            sampling_results=sampling,
-            latency_ms=250,
-            request_id="r-success-001",
-        )
-        assert payload.component_type == "Instruction"
-        assert payload.result is _SENTINEL_RESULT
-        assert payload.latency_ms == 250
-        assert (
-            payload.sampling_results is not None and len(payload.sampling_results) == 2
-        )
-
-    def test_frozen(self):
-        payload = ComponentPostSuccessPayload(latency_ms=100)
-        with pytest.raises(ValidationError):
-            payload.latency_ms = 200
-
-    def test_frozen_component_type(self):
-        payload = ComponentPostSuccessPayload(component_type="Instruction")
-        with pytest.raises(ValidationError):
-            payload.component_type = "Extractor"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ComponentPostSuccessPayload(
-            component_type="Instruction", latency_ms=100
-        )
-        modified = payload.model_copy(update={"latency_ms": 999})
-        assert modified.latency_ms == 999
-        assert payload.latency_ms == 100
-        assert modified.component_type == "Instruction"
-
-    def test_sampling_results_none_vs_list(self):
-        payload_none = ComponentPostSuccessPayload(sampling_results=None)
-        payload_list = ComponentPostSuccessPayload(sampling_results=[object()])
-        assert payload_none.sampling_results is None
-        assert (
-            payload_list.sampling_results is not None
-            and len(payload_list.sampling_results) == 1
-        )
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ComponentPostSuccessPayload, MelleaBasePayload)
-
-
-class TestComponentPostErrorPayload:
-    def test_defaults(self):
-        payload = ComponentPostErrorPayload()
-        assert payload.component_type == ""
-        assert payload.action is None
-        assert payload.error is None
-        assert payload.error_type == ""
-        assert payload.stack_trace == ""
-        assert payload.context is None
-        assert payload.model_options == {}
-
-    def test_construction_with_values(self):
-        payload = ComponentPostErrorPayload(
-            component_type="Extractor",
-            action=_SENTINEL_ACTION,
-            error=_SENTINEL_ERROR,
-            error_type="RuntimeError",
-            stack_trace="Traceback ...",
-            context=_SENTINEL_CONTEXT,
-            model_options={"temperature": 0.0},
-            request_id="r-err-001",
-        )
-        assert payload.component_type == "Extractor"
-        assert payload.error is _SENTINEL_ERROR
-        assert payload.error_type == "RuntimeError"
-        assert payload.stack_trace == "Traceback ..."
-        assert payload.model_options == {"temperature": 0.0}
-
-    def test_frozen(self):
-        payload = ComponentPostErrorPayload(error_type="ValueError")
-        with pytest.raises(ValidationError):
-            payload.error_type = "RuntimeError"
-
-    def test_frozen_stack_trace(self):
-        payload = ComponentPostErrorPayload(stack_trace="trace line 1")
-        with pytest.raises(ValidationError):
-            payload.stack_trace = "new trace"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ComponentPostErrorPayload(
-            component_type="Extractor",
-            error_type="ValueError",
-            stack_trace="original trace",
-        )
-        modified = payload.model_copy(
-            update={"error_type": "RuntimeError", "stack_trace": "new trace"}
-        )
-        assert modified.error_type == "RuntimeError"
-        assert modified.stack_trace == "new trace"
-        assert payload.error_type == "ValueError"
-        assert payload.stack_trace == "original trace"
-        assert modified.component_type == "Extractor"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ComponentPostErrorPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Generation payloads
-# ===========================================================================
-
-
-class TestGenerationPostCallPayload:
-    def test_defaults(self):
-        payload = GenerationPostCallPayload()
-        assert payload.prompt == ""
-        assert payload.model_output is None
-        assert payload.latency_ms == 0
-
-    def test_construction_with_string_prompt(self):
-        payload = GenerationPostCallPayload(
-            prompt="What is the capital of France?",
-            model_output=_SENTINEL_RESULT,
-            latency_ms=312,
-            request_id="r-gen-001",
-        )
-        assert payload.prompt == "What is the capital of France?"
-        assert payload.latency_ms == 312
-
-    def test_construction_with_list_prompt(self):
-        messages = [{"role": "user", "content": "Hello"}]
-        payload = GenerationPostCallPayload(prompt=messages)
-        assert payload.prompt == messages
-
-    def test_frozen_latency(self):
-        payload = GenerationPostCallPayload(latency_ms=100)
-        with pytest.raises(ValidationError):
-            payload.latency_ms = 200
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = GenerationPostCallPayload(prompt="original prompt", latency_ms=100)
-        modified = payload.model_copy(update={"latency_ms": 500})
-        assert modified.latency_ms == 500
-        assert payload.latency_ms == 100
-        assert modified.prompt == "original prompt"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(GenerationPostCallPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Validation payloads
-# ===========================================================================
-
-
-class TestValidationPreCheckPayload:
-    def test_defaults(self):
-        payload = ValidationPreCheckPayload()
-        assert payload.requirements == []
-        assert payload.target is None
-        assert payload.context is None
-        assert payload.model_options == {}
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        payload = ValidationPreCheckPayload(
-            requirements=reqs,
-            target=_SENTINEL_ACTION,
-            context=_SENTINEL_CONTEXT,
-            model_options={"temperature": 0.0},
-            request_id="r-val-001",
-        )
-        assert len(payload.requirements) == 2
-        assert payload.target is _SENTINEL_ACTION
-        assert payload.context is _SENTINEL_CONTEXT
-        assert payload.model_options == {"temperature": 0.0}
-
-    def test_frozen(self):
-        payload = ValidationPreCheckPayload(requirements=[_SENTINEL_REQUIREMENT])
-        with pytest.raises(ValidationError):
-            payload.requirements = []
-
-    def test_frozen_model_options(self):
-        payload = ValidationPreCheckPayload(model_options={"temperature": 0.5})
-        with pytest.raises(ValidationError):
-            payload.model_options = {}
-
-    def test_model_copy_creates_modified_copy(self):
-        reqs = [_SENTINEL_REQUIREMENT]
-        payload = ValidationPreCheckPayload(
-            requirements=reqs, context=_SENTINEL_CONTEXT
-        )
-        new_reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        modified = payload.model_copy(update={"requirements": new_reqs})
-        assert len(modified.requirements) == 2
-        assert len(payload.requirements) == 1
-        assert modified.context is _SENTINEL_CONTEXT
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ValidationPreCheckPayload, MelleaBasePayload)
-        payload = ValidationPreCheckPayload(
-            session_id="s-val", user_metadata={"phase": "pre"}
-        )
-        assert payload.session_id == "s-val"
-        assert payload.user_metadata == {"phase": "pre"}
-
-
-class TestValidationPostCheckPayload:
-    def test_defaults(self):
-        payload = ValidationPostCheckPayload()
-        assert payload.requirements == []
-        assert payload.results == []
-        assert payload.all_validations_passed is False
-        assert payload.passed_count == 0
-        assert payload.failed_count == 0
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT, _SENTINEL_REQUIREMENT]
-        results = [_SENTINEL_VALIDATION_RESULT, _SENTINEL_VALIDATION_RESULT]
-        payload = ValidationPostCheckPayload(
-            requirements=reqs,
-            results=results,
-            all_validations_passed=True,
-            passed_count=2,
-            failed_count=0,
-            request_id="r-val-post-001",
-        )
-        assert len(payload.requirements) == 2
-        assert len(payload.results) == 2
-        assert payload.all_validations_passed is True
-        assert payload.passed_count == 2
-        assert payload.failed_count == 0
-
-    def test_partial_pass(self):
-        payload = ValidationPostCheckPayload(
-            passed_count=1, failed_count=1, all_validations_passed=False
-        )
-        assert payload.all_validations_passed is False
-        assert payload.passed_count == 1
-        assert payload.failed_count == 1
-
-    def test_frozen(self):
-        payload = ValidationPostCheckPayload(all_validations_passed=False)
-        with pytest.raises(ValidationError):
-            payload.all_validations_passed = True
-
-    def test_frozen_counts(self):
-        payload = ValidationPostCheckPayload(passed_count=2, failed_count=0)
-        with pytest.raises(ValidationError):
-            payload.passed_count = 3
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ValidationPostCheckPayload(
-            passed_count=1, failed_count=2, all_validations_passed=False
-        )
-        modified = payload.model_copy(
-            update={
-                "passed_count": 3,
-                "failed_count": 0,
-                "all_validations_passed": True,
-            }
-        )
-        assert modified.passed_count == 3
-        assert modified.failed_count == 0
-        assert modified.all_validations_passed is True
-        assert payload.passed_count == 1
-        assert payload.failed_count == 2
-        assert payload.all_validations_passed is False
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ValidationPostCheckPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Sampling payloads
-# ===========================================================================
-
-
-class TestSamplingLoopStartPayload:
-    def test_defaults(self):
-        payload = SamplingLoopStartPayload()
-        assert payload.strategy_name == ""
-        assert payload.action is None
-        assert payload.context is None
-        assert payload.requirements == []
-        assert payload.loop_budget == 0
-
-    def test_construction_with_values(self):
-        reqs = [_SENTINEL_REQUIREMENT]
-        payload = SamplingLoopStartPayload(
-            strategy_name="BestOfN",
-            action=_SENTINEL_ACTION,
-            context=_SENTINEL_CONTEXT,
-            requirements=reqs,
-            loop_budget=5,
-            request_id="r-samp-001",
-        )
-        assert payload.strategy_name == "BestOfN"
-        assert payload.action is _SENTINEL_ACTION
-        assert payload.context is _SENTINEL_CONTEXT
-        assert len(payload.requirements) == 1
-        assert payload.loop_budget == 5
-
-    def test_frozen(self):
-        payload = SamplingLoopStartPayload(strategy_name="BestOfN", loop_budget=5)
-        with pytest.raises(ValidationError):
-            payload.loop_budget = 10
-
-    def test_frozen_strategy_name(self):
-        payload = SamplingLoopStartPayload(strategy_name="BestOfN")
-        with pytest.raises(ValidationError):
-            payload.strategy_name = "Retry"
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SamplingLoopStartPayload(
-            strategy_name="BestOfN", loop_budget=3, context=_SENTINEL_CONTEXT
-        )
-        modified = payload.model_copy(update={"loop_budget": 10})
-        assert modified.loop_budget == 10
-        assert payload.loop_budget == 3
-        assert modified.strategy_name == "BestOfN"
-        assert modified.context is _SENTINEL_CONTEXT
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingLoopStartPayload, MelleaBasePayload)
-
-
-class TestSamplingIterationPayload:
-    def test_defaults(self):
-        payload = SamplingIterationPayload()
-        assert payload.iteration == 0
-        assert payload.action is None
-        assert payload.result is None
-        assert payload.validation_results == []
-        assert payload.all_validations_passed is False
-        assert payload.valid_count == 0
-        assert payload.total_count == 0
-
-    def test_construction_with_values(self):
-        val_results = [
-            (_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT),
-            (_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT),
-        ]
-        payload = SamplingIterationPayload(
-            iteration=2,
-            action=_SENTINEL_ACTION,
-            result=_SENTINEL_RESULT,
-            validation_results=val_results,
-            all_validations_passed=True,
-            valid_count=2,
-            total_count=2,
-            request_id="r-iter-001",
-        )
-        assert payload.iteration == 2
-        assert payload.action is _SENTINEL_ACTION
-        assert payload.result is _SENTINEL_RESULT
-        assert len(payload.validation_results) == 2
-        assert payload.all_validations_passed is True
-        assert payload.valid_count == 2
-        assert payload.total_count == 2
-
-    def test_partial_validity(self):
-        val_results = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
-        payload = SamplingIterationPayload(
-            iteration=1,
-            validation_results=val_results,
-            all_validations_passed=False,
-            valid_count=0,
-            total_count=1,
-        )
-        assert payload.all_validations_passed is False
-        assert payload.valid_count == 0
-
-    def test_frozen(self):
-        payload = SamplingIterationPayload(iteration=1)
-        with pytest.raises(ValidationError):
-            payload.iteration = 2
-
-    def test_frozen_all_validations_passed(self):
-        payload = SamplingIterationPayload(all_validations_passed=False)
-        with pytest.raises(ValidationError):
-            payload.all_validations_passed = True
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SamplingIterationPayload(
-            iteration=0, valid_count=0, total_count=2, all_validations_passed=False
-        )
-        modified = payload.model_copy(
-            update={"iteration": 1, "valid_count": 2, "all_validations_passed": True}
-        )
-        assert modified.iteration == 1
-        assert modified.valid_count == 2
-        assert modified.all_validations_passed is True
-        assert payload.iteration == 0
-        assert payload.valid_count == 0
-        assert payload.all_validations_passed is False
-        assert modified.total_count == 2
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingIterationPayload, MelleaBasePayload)
-
-
-class TestSamplingRepairPayload:
-    def test_defaults(self):
-        payload = SamplingRepairPayload()
-        assert payload.repair_type == ""
-        assert payload.failed_action is None
-        assert payload.failed_result is None
-        assert payload.failed_validations == []
-        assert payload.repair_action is None
-        assert payload.repair_context is None
-        assert payload.repair_iteration == 0
-
-    def test_construction_with_values(self):
-        failed_vals = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
-        payload = SamplingRepairPayload(
-            repair_type="prompt_repair",
-            failed_action=_SENTINEL_ACTION,
-            failed_result=_SENTINEL_RESULT,
-            failed_validations=failed_vals,
-            repair_action=_SENTINEL_ACTION,
-            repair_context=_SENTINEL_CONTEXT,
-            repair_iteration=1,
-            request_id="r-repair-001",
-        )
-        assert payload.repair_type == "prompt_repair"
-        assert payload.failed_action is _SENTINEL_ACTION
-        assert payload.failed_result is _SENTINEL_RESULT
-        assert len(payload.failed_validations) == 1
-        assert payload.repair_action is _SENTINEL_ACTION
-        assert payload.repair_context is _SENTINEL_CONTEXT
-        assert payload.repair_iteration == 1
-
-    def test_frozen(self):
-        payload = SamplingRepairPayload(repair_type="prompt_repair")
-        with pytest.raises(ValidationError):
-            payload.repair_type = "context_repair"
-
-    def test_frozen_repair_iteration(self):
-        payload = SamplingRepairPayload(repair_iteration=1)
-        with pytest.raises(ValidationError):
-            payload.repair_iteration = 2
-
-    def test_model_copy_creates_modified_copy(self):
-        failed_vals = [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)]
-        payload = SamplingRepairPayload(
-            repair_type="prompt_repair",
-            repair_iteration=0,
-            failed_validations=failed_vals,
-        )
-        new_ctx = object()
-        modified = payload.model_copy(
-            update={"repair_iteration": 2, "repair_context": new_ctx}
-        )
-        assert modified.repair_iteration == 2
-        assert modified.repair_context is new_ctx
-        assert payload.repair_iteration == 0
-        assert payload.repair_context is None
-        assert modified.repair_type == "prompt_repair"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingRepairPayload, MelleaBasePayload)
-        payload = SamplingRepairPayload(user_metadata={"repair": True})
-        assert payload.user_metadata == {"repair": True}
-
-
-class TestSamplingLoopEndPayload:
-    def test_defaults(self):
-        payload = SamplingLoopEndPayload()
-        assert payload.success is False
-        assert payload.iterations_used == 0
-        assert payload.final_result is None
-        assert payload.final_action is None
-        assert payload.final_context is None
-        assert payload.failure_reason is None
-        assert payload.all_results == []
-        assert payload.all_validations == []
-
-    def test_construction_successful(self):
-        all_results = [_SENTINEL_RESULT, _SENTINEL_RESULT]
-        all_validations = [
-            [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)],
-            [(_SENTINEL_REQUIREMENT, _SENTINEL_VALIDATION_RESULT)],
-        ]
-        payload = SamplingLoopEndPayload(
-            success=True,
-            iterations_used=2,
-            final_result=_SENTINEL_RESULT,
-            final_action=_SENTINEL_ACTION,
-            final_context=_SENTINEL_CONTEXT,
-            failure_reason=None,
-            all_results=all_results,
-            all_validations=all_validations,
-            request_id="r-end-001",
-        )
-        assert payload.success is True
-        assert payload.iterations_used == 2
-        assert payload.final_result is _SENTINEL_RESULT
-        assert payload.failure_reason is None
-        assert len(payload.all_results) == 2
-        assert len(payload.all_validations) == 2
-
-    def test_construction_failed(self):
-        payload = SamplingLoopEndPayload(
-            success=False, iterations_used=5, failure_reason="max_iterations_exceeded"
-        )
-        assert payload.success is False
-        assert payload.failure_reason == "max_iterations_exceeded"
-        assert payload.final_result is None
-
-    def test_frozen(self):
-        payload = SamplingLoopEndPayload(success=False)
-        with pytest.raises(ValidationError):
-            payload.success = True
-
-    def test_frozen_iterations(self):
-        payload = SamplingLoopEndPayload(iterations_used=3)
-        with pytest.raises(ValidationError):
-            payload.iterations_used = 5
-
-    def test_frozen_failure_reason(self):
-        payload = SamplingLoopEndPayload(failure_reason="budget_exhausted")
-        with pytest.raises(ValidationError):
-            payload.failure_reason = None
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = SamplingLoopEndPayload(
-            success=False, iterations_used=5, failure_reason="budget_exhausted"
-        )
-        modified = payload.model_copy(
-            update={
-                "success": True,
-                "iterations_used": 3,
-                "failure_reason": None,
-                "final_result": _SENTINEL_RESULT,
-            }
-        )
-        assert modified.success is True
-        assert modified.iterations_used == 3
-        assert modified.failure_reason is None
-        assert modified.final_result is _SENTINEL_RESULT
-        assert payload.success is False
-        assert payload.iterations_used == 5
-        assert payload.failure_reason == "budget_exhausted"
-
-    def test_failure_reason_none_vs_string(self):
-        payload_none = SamplingLoopEndPayload(failure_reason=None)
-        payload_str = SamplingLoopEndPayload(failure_reason="budget_exceeded")
-        assert payload_none.failure_reason is None
-        assert payload_str.failure_reason == "budget_exceeded"
-
-    def test_inherits_base_fields(self):
-        assert issubclass(SamplingLoopEndPayload, MelleaBasePayload)
-
-
-# ===========================================================================
-# Tool payloads
-# ===========================================================================
-
-
-class TestToolPreInvokePayload:
-    def test_defaults(self):
-        payload = ToolPreInvokePayload()
-        assert payload.model_tool_call is None
-
-    def test_construction_with_values(self):
-        payload = ToolPreInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            request_id="r-tool-001",
-            hook="tool_pre_invoke",
-        )
-        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
-        assert payload.hook == "tool_pre_invoke"
-
-    def test_frozen(self):
-        payload = ToolPreInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
-        with pytest.raises(ValidationError):
-            payload.model_tool_call = None
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ToolPreInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
-        replacement = object()
-        modified = payload.model_copy(update={"model_tool_call": replacement})
-        assert modified.model_tool_call is replacement
-        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ToolPreInvokePayload, MelleaBasePayload)
-        payload = ToolPreInvokePayload(
-            session_id="s-tool", user_metadata={"source": "unit_test"}
-        )
-        assert payload.session_id == "s-tool"
-        assert payload.user_metadata == {"source": "unit_test"}
-
-
-class TestToolPostInvokePayload:
-    def test_defaults(self):
-        payload = ToolPostInvokePayload()
-        assert payload.model_tool_call is None
-        assert payload.tool_output is None
-        assert payload.tool_message is None
-        assert payload.execution_time_ms == 0
-        assert payload.success is True
-        assert payload.error is None
-
-    def test_construction_successful(self):
-        payload = ToolPostInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            tool_output={"results": ["Paris is the capital of France"]},
-            tool_message=_SENTINEL_TOOL_MESSAGE,
-            execution_time_ms=87,
-            success=True,
-            error=None,
-            request_id="r-tool-post-001",
-        )
-        assert payload.model_tool_call is _SENTINEL_TOOL_CALL
-        assert payload.tool_output == {"results": ["Paris is the capital of France"]}
-        assert payload.tool_message is _SENTINEL_TOOL_MESSAGE
-        assert payload.execution_time_ms == 87
-        assert payload.success is True
-        assert payload.error is None
-
-    def test_construction_failed(self):
-        payload = ToolPostInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            success=False,
-            error=_SENTINEL_ERROR,
-            execution_time_ms=12,
-        )
-        assert payload.success is False
-        assert payload.error is _SENTINEL_ERROR
-        assert payload.tool_output is None
-
-    def test_frozen(self):
-        payload = ToolPostInvokePayload(success=True)
-        with pytest.raises(ValidationError):
-            payload.success = False
-
-    def test_frozen_model_tool_call(self):
-        payload = ToolPostInvokePayload(model_tool_call=_SENTINEL_TOOL_CALL)
-        with pytest.raises(ValidationError):
-            payload.model_tool_call = None
-
-    def test_frozen_execution_time(self):
-        payload = ToolPostInvokePayload(execution_time_ms=50)
-        with pytest.raises(ValidationError):
-            payload.execution_time_ms = 100
-
-    def test_model_copy_creates_modified_copy(self):
-        payload = ToolPostInvokePayload(
-            model_tool_call=_SENTINEL_TOOL_CALL,
-            success=False,
-            error=_SENTINEL_ERROR,
-            execution_time_ms=10,
-        )
-        modified = payload.model_copy(
-            update={"success": True, "error": None, "execution_time_ms": 75}
-        )
-        assert modified.success is True
-        assert modified.error is None
-        assert modified.execution_time_ms == 75
-        assert payload.success is False
-        assert payload.error is _SENTINEL_ERROR
-        assert payload.execution_time_ms == 10
-        assert modified.model_tool_call is _SENTINEL_TOOL_CALL
-
-    def test_tool_output_various_types(self):
-        payload_str = ToolPostInvokePayload(tool_output="plain string result")
-        payload_dict = ToolPostInvokePayload(tool_output={"key": "value"})
-        payload_list = ToolPostInvokePayload(tool_output=[1, 2, 3])
-        assert payload_str.tool_output == "plain string result"
-        assert payload_dict.tool_output == {"key": "value"}
-        assert payload_list.tool_output == [1, 2, 3]
-
-    def test_inherits_base_fields(self):
-        assert issubclass(ToolPostInvokePayload, MelleaBasePayload)
-        payload = ToolPostInvokePayload(
-            session_id="s-tool-post",
-            hook="tool_post_invoke",
-            user_metadata={"retry": False},
-        )
-        assert payload.session_id == "s-tool-post"
-        assert payload.hook == "tool_post_invoke"
-        assert payload.user_metadata == {"retry": False}
diff --git a/test/plugins/test_blocking.py b/test/plugins/test_blocking.py
deleted file mode 100644
index 9920e890b..000000000
--- a/test/plugins/test_blocking.py
+++ /dev/null
@@ -1,273 +0,0 @@
-"""Tests for blocking behavior and PluginViolationError.
-
-Covers:
-- ``block()`` helper: return shape and field population
-- ``invoke_hook`` raising ``PluginViolationError`` when a plugin blocks (default behavior)
-- Calling the underlying ``PluginManager.invoke_hook`` with ``violations_as_exceptions=False``
-  to inspect the raw result without raising
-- Priority ordering: a blocking plugin at priority=1 stops downstream plugins at priority=100
-"""
-
-from __future__ import annotations
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import PluginMode, block, hook, modify, register
-from mellea.plugins.base import PluginViolationError
-from mellea.plugins.context import build_global_context
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import ensure_plugin_manager, invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _payload(**kwargs) -> SessionPreInitPayload:
-    defaults: dict = dict(backend_name="test-backend", model_id="test-model")
-    defaults.update(kwargs)
-    return SessionPreInitPayload(**defaults)
-
-
-async def _invoke_no_raise(payload: SessionPreInitPayload):
-    """Call the underlying ContextForge PluginManager directly with violations_as_exceptions=False.
-
-    Mellea's ``invoke_hook`` wrapper always raises ``PluginViolationError`` on a block.
-    To observe the raw ``PluginResult`` without raising, we bypass the wrapper and call
-    ``PluginManager.invoke_hook`` directly.
-    """
-    pm = ensure_plugin_manager()
-    ctx = build_global_context()
-    # Stamp the hook field the same way Mellea's wrapper would
-    stamped = payload.model_copy(update={"hook": HookType.SESSION_PRE_INIT.value})
-    result, _ = await pm.invoke_hook(
-        hook_type=HookType.SESSION_PRE_INIT.value,
-        payload=stamped,
-        global_context=ctx,
-        violations_as_exceptions=False,
-    )
-    return result
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Shut down and reset the plugin manager after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# TestBlockHelper
-# ---------------------------------------------------------------------------
-
-
-class TestBlockHelper:
-    """Unit tests for the ``block()`` convenience helper."""
-
-    def test_block_basic_returns_non_continue_plugin_result(self) -> None:
-        result = block("something went wrong")
-
-        assert result.continue_processing is False
-        assert result.violation is not None
-        assert result.violation.reason == "something went wrong"
-
-    def test_block_with_all_args_populates_violation_fields(self) -> None:
-        extra = {"limit": 100, "used": 150}
-        result = block(
-            "Budget exceeded",
-            code="BUDGET_001",
-            description="The token budget for this request was exceeded.",
-            details=extra,
-        )
-
-        assert result.continue_processing is False
-        v = result.violation
-        assert v.reason == "Budget exceeded"
-        assert v.code == "BUDGET_001"
-        assert v.description == "The token budget for this request was exceeded."
-        assert v.details == extra
-
-    def test_block_without_code_defaults_to_empty_string(self) -> None:
-        result = block("No code provided")
-
-        assert result.violation.code == ""
-
-
-# ---------------------------------------------------------------------------
-# TestModifyHelper
-# ---------------------------------------------------------------------------
-
-
-class TestModifyHelper:
-    """Unit tests for the ``modify()`` convenience helper."""
-
-    def test_modify_returns_continue_processing_true(self) -> None:
-        payload = _payload()
-        result = modify(payload, backend_name="new-backend")
-
-        assert result.continue_processing is True
-
-    def test_modify_produces_modified_payload(self) -> None:
-        payload = _payload(backend_name="original")
-        result = modify(payload, backend_name="updated")
-
-        assert result.modified_payload is not None
-        assert result.modified_payload.backend_name == "updated"
-
-    def test_modify_does_not_mutate_original_payload(self) -> None:
-        payload = _payload(backend_name="original")
-        modify(payload, backend_name="updated")
-
-        assert payload.backend_name == "original"
-
-    def test_modify_preserves_unmodified_fields(self) -> None:
-        payload = _payload(backend_name="original", model_id="gpt-4")
-        result = modify(payload, backend_name="updated")
-
-        assert result.modified_payload.model_id == "gpt-4"
-
-    def test_modify_multiple_fields(self) -> None:
-        payload = _payload(backend_name="original", model_id="gpt-4")
-        result = modify(payload, backend_name="updated", model_id="gpt-4o")
-
-        assert result.modified_payload.backend_name == "updated"
-        assert result.modified_payload.model_id == "gpt-4o"
-
-    def test_modify_has_no_violation(self) -> None:
-        payload = _payload()
-        result = modify(payload, backend_name="new-backend")
-
-        assert result.violation is None
-
-    async def test_modify_returned_from_hook_updates_payload_seen_by_invoke_hook(
-        self,
-    ) -> None:
-        """A hook returning modify() causes invoke_hook to return the modified payload."""
-
-        @hook("session_pre_init")
-        async def swapper(payload, ctx):
-            return modify(payload, model_id="swapped")
-
-        register(swapper)
-        _, returned_payload = await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert returned_payload.model_id == "swapped"
-
-
-# ---------------------------------------------------------------------------
-# TestViolationError
-# ---------------------------------------------------------------------------
-
-
-class TestViolationError:
-    """Tests for PluginViolationError raised by Mellea's invoke_hook when a plugin blocks."""
-
-    async def test_blocking_plugin_raises_plugin_violation_error_by_default(
-        self,
-    ) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("Access denied", code="AUTH_001")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-    async def test_violation_error_hook_type_matches_hook(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("blocked")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert exc_info.value.hook_type == HookType.SESSION_PRE_INIT.value
-
-    async def test_violation_error_reason_matches_block_reason(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("rate limit exceeded", code="RATE_001")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert exc_info.value.reason == "rate limit exceeded"
-
-    async def test_violation_error_str_contains_hook_type_and_reason(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("forbidden content detected")
-
-        register(blocking_plugin)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        error_str = str(exc_info.value)
-        assert HookType.SESSION_PRE_INIT.value in error_str
-        assert "forbidden content detected" in error_str
-
-    async def test_violations_as_exceptions_false_returns_result_without_raising(
-        self,
-    ) -> None:
-        @hook("session_pre_init", priority=10)
-        async def blocking_plugin(payload, ctx):
-            return block("blocked without raise", code="NO_RAISE_001")
-
-        register(blocking_plugin)
-
-        # Using the raw PluginManager call with violations_as_exceptions=False
-        result = await _invoke_no_raise(_payload())
-
-        assert result is not None
-        assert result.continue_processing is False
-        assert result.violation is not None
-        assert result.violation.reason == "blocked without raise"
-
-
-# ---------------------------------------------------------------------------
-# TestBlockingPreventsDownstreamPlugins
-# ---------------------------------------------------------------------------
-
-
-class TestBlockingPreventsDownstreamPlugins:
-    """A SEQUENTIAL blocking plugin yields continue_processing=False.
-
-    Note: cpex runs SEQUENTIAL plugins serially, so a blocking plugin at
-    lower priority stops downstream plugins from executing.  The blocking
-    result is detected and returned as continue_processing=False.
-    """
-
-    async def test_enforce_blocker_yields_false_continue_processing(self) -> None:
-        downstream_fired: list[bool] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def early_blocker(payload, ctx):
-            return block("blocked early", code="EARLY_BLOCK")
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def late_recorder(payload, ctx):
-            downstream_fired.append(True)
-            return None
-
-        register(early_blocker)
-        register(late_recorder)
-
-        # Use violations_as_exceptions=False so we can inspect the result
-        result = await _invoke_no_raise(_payload())
-
-        # The block is detected and surfaced even though plugins ran in parallel
-        assert result.continue_processing is False
diff --git a/test/plugins/test_build_global_context.py b/test/plugins/test_build_global_context.py
deleted file mode 100644
index a1af9f589..000000000
--- a/test/plugins/test_build_global_context.py
+++ /dev/null
@@ -1,68 +0,0 @@
-"""Tests for build_global_context() — the factory that maps Mellea domain objects
-to ContextForge's GlobalContext.state.
-"""
-
-from __future__ import annotations
-
-from unittest.mock import MagicMock
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins.context import build_global_context
-
-
-class TestBuildGlobalContext:
-    """build_global_context() correctly maps Mellea domain objects to state."""
-
-    def test_backend_name_derived_from_model_id(self):
-        """state['backend_name'] is set from backend.model_id."""
-        mock_backend = MagicMock()
-        mock_backend.model_id = "ibm/granite-7b-instruct"
-
-        ctx = build_global_context(backend=mock_backend)
-        assert ctx.state["backend_name"] == "ibm/granite-7b-instruct"
-
-    def test_backend_name_fallback_when_no_model_id(self):
-        """state['backend_name'] falls back to 'unknown' if model_id is missing."""
-        mock_backend = MagicMock(spec=[])  # no model_id attribute
-
-        ctx = build_global_context(backend=mock_backend)
-        assert ctx.state["backend_name"] == "unknown"
-
-    def test_backend_object_not_in_state(self):
-        """The full backend object should NOT be stored in state."""
-        mock_backend = MagicMock()
-        mock_backend.model_id = "test-model"
-
-        ctx = build_global_context(backend=mock_backend)
-        assert "backend" not in ctx.state
-        assert ctx.state["backend_name"] == "test-model"
-
-    def test_backend_name_absent_when_not_provided(self):
-        """'backend_name' key is absent when backend=None."""
-        ctx = build_global_context()
-        assert "backend_name" not in ctx.state
-
-    def test_extra_fields_passed_through(self):
-        """Extra keyword arguments are included in state."""
-        ctx = build_global_context(
-            strategy_name="RejectionSampling", remaining_budget=3
-        )
-        assert ctx.state["strategy_name"] == "RejectionSampling"
-        assert ctx.state["remaining_budget"] == 3
-
-    def test_empty_call_returns_context(self):
-        """build_global_context() with no args returns a valid GlobalContext."""
-        ctx = build_global_context()
-        assert ctx is not None
-        assert isinstance(ctx.state, dict)
-
-    def test_extra_fields_do_not_override_reserved_keys(self):
-        """Extra fields with the same key as a domain object overwrite it (last-write wins)."""
-        mock_backend = MagicMock()
-        mock_backend.model_id = "test"
-        ctx = build_global_context(backend=mock_backend, backend_name="overridden")
-        # extra_fields are applied after backend_name is set, so they win
-        assert ctx.state["backend_name"] == "overridden"
diff --git a/test/plugins/test_decorators.py b/test/plugins/test_decorators.py
deleted file mode 100644
index 51ad5d2d7..000000000
--- a/test/plugins/test_decorators.py
+++ /dev/null
@@ -1,86 +0,0 @@
-"""Tests for the @hook decorator and Plugin base class."""
-
-from mellea.plugins.base import Plugin, PluginMeta
-from mellea.plugins.decorators import HookMeta, hook
-from mellea.plugins.types import PluginMode
-
-
-class TestHookDecorator:
-    def test_hook_attaches_metadata(self):
-        @hook("generation_pre_call")
-        async def my_hook(payload, ctx):
-            pass
-
-        assert hasattr(my_hook, "_mellea_hook_meta")
-        meta = my_hook._mellea_hook_meta
-        assert isinstance(meta, HookMeta)
-        assert meta.hook_type == "generation_pre_call"
-        assert meta.mode == PluginMode.SEQUENTIAL
-        assert (
-            meta.priority is None
-        )  # no explicit priority; resolves at registration time
-
-    def test_hook_custom_mode_and_priority(self):
-        @hook("component_post_success", mode=PluginMode.AUDIT, priority=10)
-        async def my_hook(payload, ctx):
-            pass
-
-        meta = my_hook._mellea_hook_meta
-        assert meta.mode == PluginMode.AUDIT
-        assert meta.priority == 10
-
-    def test_hook_fire_and_forget_mode(self):
-        @hook("component_post_success", mode=PluginMode.FIRE_AND_FORGET)
-        async def my_hook(payload, ctx):
-            pass
-
-        meta = my_hook._mellea_hook_meta
-        assert meta.mode == PluginMode.FIRE_AND_FORGET
-
-    def test_hook_preserves_function(self):
-        @hook("generation_pre_call")
-        async def my_hook(payload, ctx):
-            return "result"
-
-        assert my_hook.__name__ == "my_hook"
-
-
-class TestPluginBaseClass:
-    def test_plugin_attaches_metadata(self):
-        class MyPlugin(Plugin, name="my-plugin"):
-            pass
-
-        assert hasattr(MyPlugin, "_mellea_plugin_meta")
-        meta = MyPlugin._mellea_plugin_meta
-        assert isinstance(meta, PluginMeta)
-        assert meta.name == "my-plugin"
-        assert meta.priority == 50
-
-    def test_plugin_custom_priority(self):
-        class MyPlugin(Plugin, name="my-plugin", priority=5):
-            pass
-
-        assert MyPlugin._mellea_plugin_meta.priority == 5  # type: ignore[attr-defined]
-
-    def test_plugin_preserves_class(self):
-        class MyPlugin(Plugin, name="my-plugin"):
-            def __init__(self):
-                self.value = 42
-
-        instance = MyPlugin()
-        assert instance.value == 42
-
-    def test_plugin_has_context_manager(self):
-        class MyPlugin(Plugin, name="my-plugin"):
-            pass
-
-        assert hasattr(MyPlugin, "__enter__")
-        assert hasattr(MyPlugin, "__exit__")
-        assert hasattr(MyPlugin, "__aenter__")
-        assert hasattr(MyPlugin, "__aexit__")
-
-    def test_plugin_without_name_skips_metadata(self):
-        class MyBase(Plugin):
-            pass
-
-        assert not hasattr(MyBase, "_mellea_plugin_meta")
diff --git a/test/plugins/test_execution_modes.py b/test/plugins/test_execution_modes.py
deleted file mode 100644
index 5a60676ab..000000000
--- a/test/plugins/test_execution_modes.py
+++ /dev/null
@@ -1,644 +0,0 @@
-"""Tests for hook execution modes.
-
-Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
-
-behavior summary
------------------
-- ``mode=SEQUENTIAL`` (default): serial, chained. Can block and modify payloads.
-
-- ``mode=TRANSFORM``: serial, chained. Can modify payloads but cannot block — blocking
-  results are suppressed.
-
-- ``mode=AUDIT``: serial, observe-only. Cannot block or modify — violations are logged
-  and payload modifications are discarded.
-
-- ``mode=CONCURRENT``: parallel, fail-fast. Can block but cannot modify — payload
-  modifications are discarded to avoid non-deterministic races.
-
-- ``mode=FIRE_AND_FORGET``: background ``asyncio.create_task``. Cannot block or modify.
-  Receives an isolated snapshot.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import PluginMode, PluginResult, block, hook, register
-from mellea.plugins.base import PluginViolationError
-from mellea.plugins.hooks.generation import GenerationPreCallPayload
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType, PluginMode
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _session_payload(**kwargs) -> SessionPreInitPayload:
-    defaults: dict = dict(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-    defaults.update(kwargs)
-    return SessionPreInitPayload(**defaults)
-
-
-def _generation_payload(**kwargs) -> GenerationPreCallPayload:
-    defaults: dict = dict(model_options={"temperature": 0.7})
-    defaults.update(kwargs)
-    return GenerationPreCallPayload(**defaults)
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def cleanup_plugins():
-    """Reset plugin manager state after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Enforce mode
-# ---------------------------------------------------------------------------
-
-
-class TestSequentialMode:
-    """mode=SEQUENTIAL is the default. Violations raise PluginViolationError."""
-
-    @pytest.mark.asyncio
-    async def test_blocking_plugin_raises_violation_error(self) -> None:
-        """A hook that returns block() in enforce mode causes invoke_hook to raise."""
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def enforced_blocker(payload, ctx):
-            return block("Access denied", code="AUTH_001")
-
-        register(enforced_blocker)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        err = exc_info.value
-        assert err.hook_type == "session_pre_init"
-        assert err.reason == "Access denied"
-        assert err.code == "AUTH_001"
-
-    @pytest.mark.asyncio
-    async def test_non_blocking_plugin_returns_normally(self) -> None:
-        """A hook that returns continue_processing=True does not raise."""
-        invocations: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def observe_hook(payload, ctx):
-            invocations.append("fired")
-            return PluginResult(continue_processing=True)
-
-        register(observe_hook)
-
-        result, _returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-
-        assert invocations == ["fired"]
-        assert result is not None
-        assert result.continue_processing is True
-
-    @pytest.mark.asyncio
-    async def test_enforce_mode_writable_field_modification_is_accepted(self) -> None:
-        """A hook that modifies a writable field (model_id) has the change applied."""
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def rewrite_model(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "gpt-4-turbo"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(rewrite_model)
-
-        payload = _session_payload(model_id="gpt-3.5")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        # session_pre_init policy marks model_id as a writable field
-        assert returned_payload.model_id == "gpt-4-turbo"
-
-    @pytest.mark.asyncio
-    async def test_enforce_stops_downstream_plugin_when_blocking(self) -> None:
-        """When an enforce plugin blocks, downstream plugins do not fire."""
-        downstream_calls: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def early_blocker(payload, ctx):
-            return block("Stopped early", code="STOP_001")
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def downstream_hook(payload, ctx):
-            downstream_calls.append("fired")
-            return None
-
-        register(early_blocker)
-        register(downstream_hook)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # Downstream hook must not have executed because SEQUENTIAL short-circuits the chain
-        assert downstream_calls == []
-
-    @pytest.mark.asyncio
-    async def test_enforce_violation_error_carries_plugin_name(self) -> None:
-        """PluginViolationError includes the plugin_name set by ContextForge."""
-
-        @hook("generation_pre_call", mode=PluginMode.SEQUENTIAL)
-        async def named_blocker(payload, ctx):
-            return block("Rate limit exceeded", code="RATE_001")
-
-        register(named_blocker)
-
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.GENERATION_PRE_CALL, _generation_payload())
-
-        # ContextForge sets violation.plugin_name from the registered handler's name
-        assert exc_info.value.plugin_name != ""
-
-    @pytest.mark.asyncio
-    async def test_default_mode_is_sequential(self) -> None:
-        """@hook without an explicit mode defaults to SEQUENTIAL and raises on violation."""
-
-        @hook("session_pre_init")  # no mode= argument; default is SEQUENTIAL
-        async def default_mode_blocker(payload, ctx):
-            return block("Blocked by default-mode hook", code="DEFAULT_001")
-
-        register(default_mode_blocker)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-    @pytest.mark.asyncio
-    async def test_enforce_none_return_does_not_raise(self) -> None:
-        """A hook returning None (no-op) in enforce mode does not raise."""
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def silent_hook(payload, ctx):
-            return None
-
-        register(silent_hook)
-
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-        # No exception; payload is unchanged
-        assert returned_payload.backend_name == "test-backend"
-
-
-# ---------------------------------------------------------------------------
-# Permissive mode
-# ---------------------------------------------------------------------------
-
-
-class TestAuditMode:
-    """mode=AUDIT: violations are logged but do not raise or stop execution."""
-
-    @pytest.mark.asyncio
-    async def test_blocking_permissive_plugin_does_not_raise(self) -> None:
-        """A blocking plugin in permissive mode must not raise PluginViolationError."""
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def permissive_blocker(payload, ctx):
-            return block("Would block, but permissive", code="PERM_001")
-
-        register(permissive_blocker)
-
-        # Must not raise
-        result, _returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-        # ContextForge execute() loop always returns continue_processing=True after
-        # a permissive violation because it continues iterating to end of the chain.
-        assert result is not None
-        assert result.continue_processing is True
-
-    @pytest.mark.asyncio
-    async def test_permissive_violation_does_not_stop_downstream_plugin(self) -> None:
-        """Downstream plugins still fire after a permissive plugin signals a violation."""
-        downstream_calls: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=5)
-        async def early_permissive_blocker(payload, ctx):
-            return block("Soft block", code="SOFT_001")
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
-        async def downstream_hook(payload, ctx):
-            downstream_calls.append("fired")
-            return None
-
-        register(early_permissive_blocker)
-        register(downstream_hook)
-
-        # Should not raise
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # Downstream hook must have executed despite the earlier permissive block
-        assert downstream_calls == ["fired"]
-
-    @pytest.mark.asyncio
-    async def test_permissive_non_blocking_hook_fires_normally(self) -> None:
-        """A permissive hook that continues fires and the call succeeds."""
-        invocations: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def permissive_observer(payload, ctx):
-            invocations.append(payload.backend_name)
-            return PluginResult(continue_processing=True)
-
-        register(permissive_observer)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert invocations == ["test-backend"]
-
-    @pytest.mark.asyncio
-    async def test_multiple_permissive_blocking_plugins_all_fire(self) -> None:
-        """Multiple permissive blocking plugins all execute; no exception is raised."""
-        fires: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=5)
-        async def first_permissive(payload, ctx):
-            fires.append("first")
-            return block("First block", code="P001")
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=10)
-        async def second_permissive(payload, ctx):
-            fires.append("second")
-            return block("Second block", code="P002")
-
-        register(first_permissive)
-        register(second_permissive)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert fires == ["first", "second"]
-
-    @pytest.mark.asyncio
-    async def test_permissive_blocking_followed_by_enforce_observer(self) -> None:
-        """A permissive blocker followed by a non-blocking enforce hook: both fire, and enforce goes first."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def permissive_block(payload, ctx):
-            order.append("permissive")
-            return block("Soft block", code="PERM_SIBLING")
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL)
-        async def enforce_observer(payload, ctx):
-            order.append("enforce")
-            return PluginResult(continue_processing=True)
-
-        register(permissive_block)
-        register(enforce_observer)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["enforce", "permissive"]
-
-    @pytest.mark.asyncio
-    async def test_audit_modification_is_discarded(self) -> None:
-        """AUDIT hooks are observe-only — payload modifications are discarded."""
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT)
-        async def audit_modifier(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "audit-model"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(audit_modifier)
-
-        payload = _session_payload(model_id="original-model")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "original-model"
-
-
-# ---------------------------------------------------------------------------
-# Fire-and-forget mode
-# ---------------------------------------------------------------------------
-
-
-class TestFireAndForgetMode:
-    """mode=FIRE_AND_FORGET: mapped to PluginMode.OBSERVE at the ContextForge level.
-
-    The Mellea registry maps PluginMode.FIRE_AND_FORGET to the ContextForge
-    PluginMode.OBSERVE (see mellea/plugins/registry.py).  Consequently:
-
-    - The hook is dispatched as a background asyncio.create_task (not awaited inline).
-    - Violations are logged but never raised as PluginViolationError.
-    - Payload modifications are discarded; the pipeline sees the original payload.
-    """
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_hook_executes_as_background_task(self) -> None:
-        """A fire-and-forget hook fires as a background task and records its invocation."""
-        invocations: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_observer(payload, ctx):
-            invocations.append("fired")
-            return PluginResult(continue_processing=True)
-
-        register(faf_observer)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # The hook runs as a background asyncio task; yield to the event loop to
-        # allow it to complete before asserting.
-        await asyncio.sleep(0.05)
-        assert invocations == ["fired"]
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_blocking_does_not_raise(self) -> None:
-        """A blocking fire-and-forget hook does NOT raise PluginViolationError.
-
-        In OBSERVE mode violations are logged but never propagated — background
-        tasks cannot halt the pipeline.
-        """
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_blocker(payload, ctx):
-            return block("FAF block", code="FAF_001")
-
-        register(faf_blocker)
-
-        # Should complete without raising even though the hook returns block().
-        result, _payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, _session_payload()
-        )
-        assert result is not None and result.continue_processing is True
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_writable_field_modification_is_not_applied(
-        self,
-    ) -> None:
-        """A fire-and-forget hook that modifies a writable field does NOT affect the pipeline.
-
-        In OBSERVE mode the hook receives a copy of the payload; its modifications are
-        discarded and the original payload is returned to the caller unchanged.
-        """
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_modifier(payload, ctx):
-            modified = payload.model_copy(update={"backend_name": "modified-backend"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(faf_modifier)
-
-        payload = _session_payload(backend_name="original-backend")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.backend_name == "original-backend"
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_non_blocking_does_not_stop_downstream(self) -> None:
-        """A non-blocking fire-and-forget hook lets downstream plugins fire."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET, priority=5)
-        async def faf_first(payload, ctx):
-            order.append("faf")
-            return PluginResult(continue_processing=True)
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
-        async def enforce_second(payload, ctx):
-            order.append("enforce")
-            return PluginResult(continue_processing=True)
-
-        register(faf_first)
-        register(enforce_second)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        await asyncio.sleep(0.05)
-        assert order == ["enforce", "faf"]
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_mode_stored_correctly_in_hook_meta(self) -> None:
-        """HookMeta records PluginMode.FIRE_AND_FORGET on the decorated function.
-
-        Verifies that the Mellea-layer decorator stores the correct mode enum value
-        regardless of how the ContextForge adapter maps it at registration time.
-        """
-        from mellea.plugins.decorators import HookMeta
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET, priority=25)
-        async def faf_fn(payload, ctx):
-            return None
-
-        meta: HookMeta = faf_fn._mellea_hook_meta
-        assert meta.mode == PluginMode.FIRE_AND_FORGET
-        assert meta.hook_type == "session_pre_init"
-        assert meta.priority == 25
-
-    @pytest.mark.asyncio
-    async def test_fire_and_forget_none_return_is_noop(self) -> None:
-        """A fire-and-forget hook returning None leaves the payload unchanged."""
-
-        @hook("session_pre_init", mode=PluginMode.FIRE_AND_FORGET)
-        async def faf_noop(payload, ctx):
-            return None
-
-        register(faf_noop)
-
-        payload = _session_payload(backend_name="unchanged")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.backend_name == "unchanged"
-
-
-# ---------------------------------------------------------------------------
-# Transform mode
-# ---------------------------------------------------------------------------
-
-
-class TestTransformMode:
-    """TRANSFORM plugins can modify payloads but cannot block the pipeline."""
-
-    @pytest.mark.asyncio
-    async def test_transform_modifies_writable_field(self) -> None:
-        """A TRANSFORM hook can modify writable fields."""
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM)
-        async def xform_modifier(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "transformed-model"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(xform_modifier)
-
-        payload = _session_payload(model_id="original-model")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "transformed-model"
-
-    @pytest.mark.asyncio
-    async def test_transform_cannot_block(self) -> None:
-        """A TRANSFORM hook returning continue_processing=False is suppressed."""
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM)
-        async def xform_blocker(payload, ctx):
-            return block("Should be suppressed")
-
-        register(xform_blocker)
-
-        payload = _session_payload()
-        # Should NOT raise — blocking is suppressed for TRANSFORM
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-        assert returned_payload.backend_name == "test-backend"
-
-    @pytest.mark.asyncio
-    async def test_transform_chains_between_plugins(self) -> None:
-        """Two TRANSFORM hooks chain their modifications."""
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
-        async def xform_a(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "step-a"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=2)
-        async def xform_b(payload, ctx):
-            # Should see step-a from the previous plugin
-            modified = payload.model_copy(
-                update={"model_options": {"seen": payload.model_id}}
-            )
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(xform_a)
-        register(xform_b)
-
-        payload = _session_payload()
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "step-a"
-        assert returned_payload.model_options == {"seen": "step-a"}
-
-    @pytest.mark.asyncio
-    async def test_transform_runs_after_sequential(self) -> None:
-        """TRANSFORM hooks run after SEQUENTIAL hooks regardless of priority."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=99)
-        async def seq_hook(payload, ctx):
-            order.append("sequential")
-            return None
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
-        async def xform_hook(payload, ctx):
-            order.append("transform")
-            return None
-
-        register(seq_hook)
-        register(xform_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["sequential", "transform"]
-
-    @pytest.mark.asyncio
-    async def test_transform_runs_before_audit(self) -> None:
-        """TRANSFORM hooks run before AUDIT hooks."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=1)
-        async def audit_hook(payload, ctx):
-            order.append("audit")
-            return None
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=99)
-        async def xform_hook(payload, ctx):
-            order.append("transform")
-            return None
-
-        register(audit_hook)
-        register(xform_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["transform", "audit"]
-
-
-# ---------------------------------------------------------------------------
-# Concurrent mode
-# ---------------------------------------------------------------------------
-
-
-class TestConcurrentMode:
-    """CONCURRENT plugins can block but cannot modify payloads."""
-
-    @pytest.mark.asyncio
-    async def test_concurrent_can_block(self) -> None:
-        """A CONCURRENT hook returning continue_processing=False raises."""
-
-        @hook("session_pre_init", mode=PluginMode.CONCURRENT)
-        async def conc_blocker(payload, ctx):
-            return block("Blocked by concurrent gate")
-
-        register(conc_blocker)
-
-        with pytest.raises(PluginViolationError):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-    @pytest.mark.asyncio
-    async def test_concurrent_modification_is_discarded(self) -> None:
-        """CONCURRENT hooks cannot modify payloads — modifications are discarded."""
-
-        @hook("session_pre_init", mode=PluginMode.CONCURRENT)
-        async def conc_modifier(payload, ctx):
-            modified = payload.model_copy(update={"model_id": "concurrent-model"})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(conc_modifier)
-
-        payload = _session_payload(model_id="original-model")
-        _result, returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-
-        assert returned_payload.model_id == "original-model"
-
-    @pytest.mark.asyncio
-    async def test_concurrent_runs_after_audit(self) -> None:
-        """CONCURRENT hooks run after AUDIT hooks."""
-        order: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.CONCURRENT, priority=1)
-        async def conc_hook(payload, ctx):
-            order.append("concurrent")
-            return None
-
-        @hook("session_pre_init", mode=PluginMode.AUDIT, priority=99)
-        async def audit_hook(payload, ctx):
-            order.append("audit")
-            return None
-
-        register(conc_hook)
-        register(audit_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert order == ["audit", "concurrent"]
diff --git a/test/plugins/test_hook_call_sites.py b/test/plugins/test_hook_call_sites.py
deleted file mode 100644
index 5c0742b3c..000000000
--- a/test/plugins/test_hook_call_sites.py
+++ /dev/null
@@ -1,962 +0,0 @@
-"""Integration tests verifying that hooks fire at actual Mellea call sites.
-
-Each test registers a hook recorder, triggers the actual code path (Backend,
-functional.py, sampling/base.py, session.py), and asserts that the hook fired
-with the expected payload shape.
-
-All tests use lightweight mock backends so no real LLM API calls are made.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import datetime
-from typing import Any
-from unittest.mock import MagicMock, patch
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.core.backend import Backend
-from mellea.core.base import (
-    CBlock,
-    Context,
-    GenerateLog,
-    GenerateType,
-    ModelOutputThunk,
-)
-from mellea.plugins import PluginResult, hook, register
-from mellea.plugins.manager import shutdown_plugins
-from mellea.stdlib.context import SimpleContext
-
-# ---------------------------------------------------------------------------
-# Mock backend (module-level so it can be used as a class in session tests)
-# ---------------------------------------------------------------------------
-
-
-class _MockBackend(Backend):
-    """Minimal backend that returns a faked ModelOutputThunk — no LLM API calls."""
-
-    model_id = "mock-model"
-
-    def __init__(self, *args, **kwargs):
-        # Accept but discard constructor arguments; real backends need model_id etc.
-        pass
-
-    async def _generate_from_context(self, action, ctx, **kwargs):
-        mot = MagicMock(spec=ModelOutputThunk)
-        glog = GenerateLog()
-        glog.prompt = "mocked formatted prompt"
-        mot._generate_log = glog
-        mot.parsed_repr = None
-        mot._start = datetime.datetime.now()
-
-        async def _avalue():
-            return "mocked output"
-
-        mot.avalue = _avalue
-        mot.value = "mocked output string"  # SamplingResult requires a str .value
-        # Return a new SimpleContext to mimic real context evolution
-        new_ctx = SimpleContext()
-        return mot, new_ctx
-
-    async def generate_from_raw(self, actions, ctx, **kwargs):
-        # Required abstract method; not exercised by these tests
-        return []
-
-
-async def _noop_process(mot, chunk):
-    if mot._underlying_value is None:
-        mot._underlying_value = ""
-    mot._underlying_value += str(chunk)
-
-
-async def _noop_post_process(mot):
-    return
-
-
-def _make_thunk():
-    mot = ModelOutputThunk(value=None)
-    mot._generate_type = GenerateType.ASYNC
-    mot._process = _noop_process
-    mot._post_process = _noop_post_process
-    mot._action = CBlock("test")
-    mot._chunk_size = 0
-    mot._start = datetime.datetime.now()
-    return mot
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Shut down and reset the plugin manager after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Generation hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestGenerationHookCallSites:
-    """GENERATION_PRE_CALL and GENERATION_POST_CALL fire in Backend.generate_from_context()."""
-
-    async def test_generation_pre_call_fires_once(self) -> None:
-        """GENERATION_PRE_CALL fires exactly once per generate_from_context() call."""
-        observed: list[Any] = []
-
-        @hook("generation_pre_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        action = CBlock("hello world")
-        await backend.generate_from_context(action, MagicMock(spec=Context))
-
-        assert len(observed) == 1
-
-    async def test_generation_pre_call_payload_has_action_and_context(self) -> None:
-        """GENERATION_PRE_CALL payload carries the action CBlock and the context."""
-        observed: list[Any] = []
-
-        @hook("generation_pre_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        action = CBlock("specific input text")
-        mock_ctx = MagicMock(spec=Context)
-        await backend.generate_from_context(action, mock_ctx)
-
-        p = observed[0]
-
-        assert isinstance(p.action, CBlock)
-        assert p.action.value == action.value
-        assert p.context is not None
-
-    # TODO: JAL.
-    async def test_generation_post_call_fires_once(self) -> None:
-        """GENERATION_POST_CALL fires exactly once after generate_from_context() returns."""
-        observed: list[Any] = []
-
-        @hook("generation_post_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        mot = _make_thunk()
-        await mot._async_queue.put("hello")
-        await mot._async_queue.put("goodbye")
-        await mot._async_queue.put(None)  # sentinel for being done
-
-        await mot.avalue()
-        assert len(observed) == 1
-
-    # TODO: JAL.
-    async def test_generation_post_call_model_output_is_the_returned_thunk(
-        self,
-    ) -> None:
-        """GENERATION_POST_CALL payload.model_output IS the ModelOutputThunk returned."""
-        observed: list[Any] = []
-
-        @hook("generation_post_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        mot = _make_thunk()
-        await mot._async_queue.put("hello")
-        await mot._async_queue.put("goodbye")
-        await mot._async_queue.put(None)  # sentinel for being done
-        await mot.avalue()
-
-        assert observed[0].model_output is not None
-
-    # TODO: JAL.
-    async def test_generation_post_call_latency_ms_is_non_negative(self) -> None:
-        """GENERATION_POST_CALL payload.latency_ms >= 0."""
-        observed: list[Any] = []
-
-        @hook("generation_post_call")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        mot = _make_thunk()
-        await mot._async_queue.put("hello")
-        await mot._async_queue.put("goodbye")
-        await mot._async_queue.put(None)  # sentinel for being done
-
-        await asyncio.sleep(1)
-        await mot.avalue()
-
-        assert observed[0].latency_ms >= 0
-
-
-# ---------------------------------------------------------------------------
-# Component hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestComponentHookCallSites:
-    """Component hooks fire in ainstruct() and aact() in stdlib/functional.py."""
-
-    async def test_component_pre_execute_fires_in_aact(self) -> None:
-        """COMPONENT_PRE_EXECUTE fires in aact() before generation is called."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_pre_execute")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Execute this")
-
-        await aact(action, ctx, backend, strategy=None)
-        assert len(observed) == 1
-
-    async def test_component_pre_execute_payload_has_live_action(self) -> None:
-        """COMPONENT_PRE_EXECUTE payload.action IS the same Component instance."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_pre_execute")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Live reference test")
-
-        await aact(action, ctx, backend, strategy=None)
-        assert isinstance(observed[0].action, Instruction)
-        assert observed[0].action._description.value == action._description.value  # type: ignore[union-attr]
-
-    async def test_component_pre_execute_payload_component_type(self) -> None:
-        """COMPONENT_PRE_EXECUTE payload.component_type matches the action class name."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_pre_execute")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Type check")
-
-        await aact(action, ctx, backend, strategy=None)
-        assert observed[0].component_type == "Instruction"
-
-    async def test_component_post_success_fires_in_aact(self) -> None:
-        """COMPONENT_POST_SUCCESS fires in aact() after successful generation."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_post_success")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Success test")
-
-        _result, _new_ctx = await aact(action, ctx, backend, strategy=None)
-        assert len(observed) == 1
-
-    async def test_component_post_success_payload_has_correct_result_and_contexts(
-        self,
-    ) -> None:
-        """COMPONENT_POST_SUCCESS payload carries result, context_before, context_after."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.functional import aact
-
-        observed: list[Any] = []
-
-        @hook("component_post_success")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        action = Instruction("Payload check")
-
-        _result, _new_ctx = await aact(action, ctx, backend, strategy=None)
-
-        p = observed[0]
-
-        assert p.result is not None
-        assert p.context_before is not None
-        assert p.context_after is not None
-        assert p.action is not None
-        assert p.latency_ms >= 0
-
-
-# ---------------------------------------------------------------------------
-# Sampling hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestSamplingHookCallSites:
-    """SAMPLING_LOOP_START, SAMPLING_ITERATION, SAMPLING_LOOP_END fire in
-    BaseSamplingStrategy.sample()."""
-
-    async def test_sampling_loop_start_fires(self) -> None:
-        """SAMPLING_LOOP_START fires when RejectionSamplingStrategy.sample() begins."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_start")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Sample test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert len(observed) == 1
-
-    async def test_sampling_loop_start_payload_has_strategy_name(self) -> None:
-        """SAMPLING_LOOP_START payload.strategy_name contains the strategy class name."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_start")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Strategy name test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert "RejectionSampling" in observed[0].strategy_name
-
-    async def test_sampling_loop_start_payload_has_correct_loop_budget(self) -> None:
-        """SAMPLING_LOOP_START payload.loop_budget matches the strategy's loop_budget."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_start")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=3)
-
-        await strategy.sample(
-            Instruction("Budget test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert observed[0].loop_budget == 3
-
-    async def test_sampling_iteration_fires_once_per_loop_iteration(self) -> None:
-        """SAMPLING_ITERATION fires once per loop iteration."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_iteration")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        # With loop_budget=1 and no requirements, exactly 1 iteration runs
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Iteration test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert len(observed) == 1
-        assert observed[0].iteration == 1
-        assert observed[0].all_validations_passed is True  # no requirements → all pass
-
-    async def test_sampling_loop_end_fires_on_success_path(self) -> None:
-        """SAMPLING_LOOP_END fires with success=True when sampling succeeds."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_end")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("End test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert len(observed) == 1
-        assert observed[0].success is True
-
-    async def test_sampling_loop_end_success_payload_has_final_result_and_context(
-        self,
-    ) -> None:
-        """SAMPLING_LOOP_END success payload has final_result and final_context populated."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[Any] = []
-
-        @hook("sampling_loop_end")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Final payload test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        p = observed[0]
-        assert p.final_result is not None
-        assert p.final_context is not None
-        assert isinstance(p.all_results, list)
-        assert len(p.all_results) == 1  # one iteration, one result
-
-    async def test_sampling_loop_end_context_available_on_payload(self) -> None:
-        """On success, SAMPLING_LOOP_END payload carries final_context (post-generation)."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed_ctxs: list[Any] = []
-
-        @hook("sampling_loop_end")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed_ctxs.append(payload.final_context)
-            return None
-
-        register(recorder)
-        backend = _MockBackend()
-        original_ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Context test"),
-            context=original_ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        # On success, the payload's final_context should be result_ctx (not original_ctx)
-        if observed_ctxs:
-            assert observed_ctxs[0] is not original_ctx, (
-                "Success path: payload.final_context should be result_ctx, not the original input context"
-            )
-
-    async def test_all_three_sampling_hooks_fire_in_order(self) -> None:
-        """SAMPLING_LOOP_START → SAMPLING_ITERATION → SAMPLING_LOOP_END order."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        order: list[str] = []
-
-        @hook("sampling_loop_start")
-        async def h1(payload: Any, ctx: Any) -> Any:
-            order.append("loop_start")
-            return None
-
-        @hook("sampling_iteration")
-        async def h2(payload: Any, ctx: Any) -> Any:
-            order.append("iteration")
-            return None
-
-        @hook("sampling_loop_end")
-        async def h3(payload: Any, ctx: Any) -> Any:
-            order.append("loop_end")
-            return None
-
-        register(h1)
-        register(h2)
-        register(h3)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        await strategy.sample(
-            Instruction("Order test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-        assert order == ["loop_start", "iteration", "loop_end"]
-
-
-# ---------------------------------------------------------------------------
-# Session hook call sites
-# ---------------------------------------------------------------------------
-
-
-class TestSessionHookCallSites:
-    """SESSION_PRE_INIT and SESSION_POST_INIT fire in start_session().
-
-    start_session() is a synchronous function that uses _run_async_in_thread
-    to invoke hooks.  These tests patch backend_name_to_class to avoid
-    instantiating a real LLM backend.
-    """
-
-    def test_session_pre_init_fires_during_start_session(self) -> None:
-        """SESSION_PRE_INIT fires once before the backend is instantiated."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_pre_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="test-model")
-
-        assert len(observed) == 1
-
-    def test_session_pre_init_payload_has_backend_name_and_model_id(self) -> None:
-        """SESSION_PRE_INIT payload carries the backend_name and model_id passed to start_session."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_pre_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="granite-3b-instruct")
-
-        p = observed[0]
-        assert p.backend_name == "ollama"
-        assert p.model_id == "granite-3b-instruct"
-
-    def test_session_post_init_fires_after_session_created(self) -> None:
-        """SESSION_POST_INIT fires once after the MelleaSession object is created."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_post_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="test-model")
-
-        assert len(observed) == 1
-
-    def test_session_post_init_payload_has_session_metadata(self) -> None:
-        """SESSION_POST_INIT payload contains session_id, model_id, and context."""
-        from mellea.stdlib.session import start_session
-
-        observed: list[Any] = []
-
-        @hook("session_post_init")
-        async def recorder(payload: Any, ctx: Any) -> Any:
-            observed.append(payload)
-            return None
-
-        register(recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            session = start_session("ollama", model_id="test-model")
-
-        p = observed[0]
-        assert p.session_id == session.id
-        assert p.model_id == "test-model"
-        assert p.context is not None
-
-    def test_pre_init_fires_before_post_init(self) -> None:
-        """SESSION_PRE_INIT fires before SESSION_POST_INIT."""
-        from mellea.stdlib.session import start_session
-
-        order: list[str] = []
-
-        @hook("session_pre_init")
-        async def pre_recorder(payload: Any, ctx: Any) -> Any:
-            order.append("pre_init")
-            return None
-
-        @hook("session_post_init")
-        async def post_recorder(payload: Any, ctx: Any) -> Any:
-            order.append("post_init")
-            return None
-
-        register(pre_recorder)
-        register(post_recorder)
-
-        with patch(
-            "mellea.stdlib.session.backend_name_to_class", return_value=_MockBackend
-        ):
-            start_session("ollama", model_id="test-model")
-
-        assert order == ["pre_init", "post_init"]
-
-
-# ---------------------------------------------------------------------------
-# Mutation tests — verify that hook-modified payloads are actually applied
-# ---------------------------------------------------------------------------
-
-
-class TestGenerationPostCallObserveOnly:
-    """GENERATION_POST_CALL is observe-only — modifications are discarded."""
-
-    async def test_modification_discarded_on_eager_path(self) -> None:
-        """A plugin that tries to replace model_output has its change discarded."""
-        replacement = MagicMock(spec=ModelOutputThunk)
-        replacement._generate_log = None
-
-        @hook("generation_post_call")
-        async def swap_output(payload, *_):
-            modified = payload.model_copy(update={"model_output": replacement})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(swap_output)
-        backend = _MockBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("mutation test"), MagicMock(spec=Context)
-        )
-
-        # model_output is no longer writable — original is preserved
-        assert result is not replacement
-        assert isinstance(result, ModelOutputThunk)
-
-    async def test_no_modification_returns_original_output(self) -> None:
-        """When the hook returns None the original thunk is returned unchanged."""
-
-        @hook("generation_post_call")
-        async def observe_only(*_):
-            return None
-
-        register(observe_only)
-        backend = _MockBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("no-op test"), MagicMock(spec=Context)
-        )
-
-        assert result is not None
-        assert isinstance(result, ModelOutputThunk)
-
-
-# ---------------------------------------------------------------------------
-# Lazy/stream path MOT replacement
-# ---------------------------------------------------------------------------
-
-
-class _MockLazyBackend(Backend):
-    """Backend that returns a real lazy (uncomputed) ModelOutputThunk.
-
-    The MOT must be materialized via ``avalue()``/``astream()``, exercising
-    the ``_on_computed`` callback path.
-    """
-
-    model_id = "mock-lazy-model"
-
-    def __init__(self, *args, **kwargs):
-        pass
-
-    async def _generate_from_context(self, action, ctx, **kwargs):
-        import asyncio
-
-        mot = ModelOutputThunk(value=None)
-        mot._generate_type = GenerateType.ASYNC
-        mot._chunk_size = 0
-        mot._action = action
-
-        async def _process(thunk, chunk):
-            if thunk._underlying_value is None:
-                thunk._underlying_value = ""
-            thunk._underlying_value += str(chunk)
-
-        async def _post_process(thunk):
-            pass
-
-        mot._process = _process
-        mot._post_process = _post_process
-
-        glog = GenerateLog()
-        glog.prompt = "lazy mocked prompt"
-        mot._generate_log = glog
-
-        # Simulate async generation: enqueue chunks + sentinel
-        async def _generate():
-            await mot._async_queue.put("lazy output")
-            await mot._async_queue.put(None)  # sentinel
-
-        mot._generate = asyncio.ensure_future(_generate())
-
-        return mot, SimpleContext()
-
-    async def generate_from_raw(self, actions, ctx, **kwargs):
-        return []
-
-
-class TestGenerationPostCallObserveOnlyLazyPath:
-    """GENERATION_POST_CALL is observe-only on the lazy/stream path."""
-
-    async def test_modification_discarded_on_lazy_path(self) -> None:
-        """A plugin trying to replace model_output has its change discarded on lazy path."""
-        replacement = ModelOutputThunk(value="replaced output")
-        replacement_glog = GenerateLog()
-        replacement_glog.prompt = "replaced prompt"
-        replacement._generate_log = replacement_glog
-
-        @hook("generation_post_call")
-        async def swap_output(payload, *_):
-            modified = payload.model_copy(update={"model_output": replacement})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(swap_output)
-        backend = _MockLazyBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("lazy mutation test"), MagicMock(spec=Context)
-        )
-
-        # model_output is no longer writable — original value is preserved
-        await result.avalue()
-        assert result.value == "lazy output"
-
-    async def test_no_modification_preserves_original_on_lazy_path(self) -> None:
-        """When the hook returns None on the lazy path, the original MOT is unchanged."""
-
-        @hook("generation_post_call")
-        async def observe_only(*_):
-            return None
-
-        register(observe_only)
-        backend = _MockLazyBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("lazy no-op test"), MagicMock(spec=Context)
-        )
-
-        value = await result.avalue()
-        assert value == "lazy output"
-
-    async def test_hook_fires_exactly_once_on_lazy_path(self) -> None:
-        """GENERATION_POST_CALL fires exactly once even when avalue() is called after astream()."""
-        fire_count = 0
-
-        @hook("generation_post_call")
-        async def counter(*_):
-            nonlocal fire_count
-            fire_count += 1
-            return None
-
-        register(counter)
-        backend = _MockLazyBackend()
-        result, _ = await backend.generate_from_context(
-            CBlock("lazy fire-once test"), MagicMock(spec=Context)
-        )
-
-        await result.avalue()
-        # Second avalue call should not re-fire
-        await result.avalue()
-        assert fire_count == 1
-
-
-class TestSamplingLoopEndObserveOnly:
-    """SAMPLING_LOOP_END is observe-only — modifications are discarded."""
-
-    async def test_observe_only_on_success_path(self) -> None:
-        """Hook fires on success but cannot modify final_result."""
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[bool] = []
-
-        @hook("sampling_loop_end")
-        async def observe_success(payload, *_):
-            observed.append(payload.success)
-            return None
-
-        register(observe_success)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        sampling_result = await strategy.sample(
-            Instruction("observe test"),
-            context=ctx,
-            backend=backend,
-            requirements=[],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-
-        assert sampling_result.result is not None
-        assert isinstance(sampling_result.result, ModelOutputThunk)
-        assert observed == [True]
-
-    async def test_observe_only_on_failure_path(self) -> None:
-        """Hook fires on failure but cannot modify final_result."""
-        from mellea.core.requirement import Requirement, ValidationResult
-        from mellea.stdlib.components import Instruction
-        from mellea.stdlib.sampling.base import RejectionSamplingStrategy
-
-        observed: list[bool] = []
-
-        @hook("sampling_loop_end")
-        async def observe_failure(payload, *_):
-            observed.append(payload.success)
-            return None
-
-        register(observe_failure)
-        backend = _MockBackend()
-        ctx = SimpleContext()
-
-        always_fail = Requirement(
-            description="always fails",
-            validation_fn=lambda _ctx: ValidationResult(
-                result=False, reason="forced failure"
-            ),
-        )
-        strategy = RejectionSamplingStrategy(loop_budget=1)
-
-        sampling_result = await strategy.sample(
-            Instruction("failure observe test"),
-            context=ctx,
-            backend=backend,
-            requirements=[always_fail],
-            format=None,
-            model_options=None,
-            tool_calls=False,
-            show_progress=False,
-        )
-
-        assert not sampling_result.success
-        assert sampling_result.result is not None
-        assert observed == [False]
-
-
-if __name__ == "__main__":
-    pytest.main([__file__])
diff --git a/test/plugins/test_manager.py b/test/plugins/test_manager.py
deleted file mode 100644
index 82761127b..000000000
--- a/test/plugins/test_manager.py
+++ /dev/null
@@ -1,146 +0,0 @@
-"""Tests for the plugin manager."""
-
-import pytest
-
-from mellea.plugins.base import MelleaBasePayload
-from mellea.plugins.manager import (
-    ensure_plugin_manager,
-    has_plugins,
-    invoke_hook,
-    shutdown_plugins,
-)
-from mellea.plugins.types import HookType, PluginMode
-
-# These tests require the contextforge plugin framework
-pytest.importorskip("cpex.framework")
-
-
-@pytest.fixture(autouse=True)
-async def cleanup_plugins():
-    """Ensure plugin manager is shut down after each test."""
-    yield
-    await shutdown_plugins()
-
-
-class TestNoOpGuards:
-    @pytest.mark.asyncio
-    async def test_invoke_hook_noop_when_no_plugins(self, request):
-        """When no plugins are registered, invoke_hook returns (None, original_payload)."""
-        plugins_disabled = request.config.getoption(
-            "--disable-default-mellea-plugins", default=False
-        )
-        if not plugins_disabled:
-            pytest.skip("must pass --disable-default-mellea-plugins for this test")
-        payload = MelleaBasePayload(request_id="test-123")
-        result, returned_payload = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-        assert result is None
-        assert returned_payload is payload
-
-    def test_has_plugins_false_by_default(self, request):
-        """has_plugins() returns False when no plugins have been registered."""
-        plugins_disabled = request.config.getoption(
-            "--disable-default-mellea-plugins", default=False
-        )
-        if not plugins_disabled:
-            pytest.skip("must pass --disable-default-mellea-plugins for this test")
-        # After shutdown, plugins should not be enabled
-        assert not has_plugins()
-
-
-class TestPluginManagerInit:
-    def test_ensure_plugin_manager_creates_manager(self):
-        pm = ensure_plugin_manager()
-        assert pm is not None
-        assert has_plugins()
-
-    def test_ensure_plugin_manager_idempotent(self):
-        pm1 = ensure_plugin_manager()
-        pm2 = ensure_plugin_manager()
-        # They may not be the same object due to Borg pattern, but should be functional
-        assert pm1 is not None
-        assert pm2 is not None
-
-
-class TestHookRegistration:
-    @pytest.mark.asyncio
-    async def test_register_and_invoke_standalone_hook(self):
-        from mellea.plugins import hook, register
-        from mellea.plugins.hooks.session import SessionPreInitPayload
-
-        invocations = []
-
-        @hook("session_pre_init", mode=PluginMode.SEQUENTIAL, priority=10)
-        async def test_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        register(test_hook)
-
-        payload = SessionPreInitPayload(
-            backend_name="openai", model_id="gpt-4", model_options=None
-        )
-        _result, _returned_payload = await invoke_hook(
-            HookType.SESSION_PRE_INIT, payload
-        )
-        assert len(invocations) == 1
-        assert invocations[0].backend_name == "openai"
-
-    @pytest.mark.asyncio
-    async def test_register_class_plugin(self):
-        from mellea.plugins import Plugin, hook, register
-        from mellea.plugins.hooks.session import SessionPreInitPayload
-
-        invocations = []
-
-        class TestPlugin(Plugin, name="test-class-plugin", priority=5):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(("pre_init", payload))
-                return None
-
-        register(TestPlugin())
-
-        payload = SessionPreInitPayload(
-            backend_name="openai", model_id="gpt-4", model_options=None
-        )
-        await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-        assert len(invocations) == 1
-        assert invocations[0][0] == "pre_init"
-
-    @pytest.mark.asyncio
-    async def test_register_plugin_set(self):
-        from mellea.plugins import PluginSet, hook, register
-        from mellea.plugins.hooks.session import SessionPreInitPayload
-
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        ps = PluginSet("test-set", [hook_a, hook_b])
-        register(ps)
-
-        payload = SessionPreInitPayload(
-            backend_name="openai", model_id="gpt-4", model_options=None
-        )
-        await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-        assert "a" in invocations
-        assert "b" in invocations
-
-
-class TestBlockHelper:
-    def test_block_returns_plugin_result(self):
-        from mellea.plugins import block
-
-        result = block("Budget exceeded", code="BUDGET_001")
-        assert result.continue_processing is False
-        assert result.violation is not None
-        assert result.violation.reason == "Budget exceeded"
-        assert result.violation.code == "BUDGET_001"
diff --git a/test/plugins/test_mellea_plugin.py b/test/plugins/test_mellea_plugin.py
deleted file mode 100644
index 7bd44ee56..000000000
--- a/test/plugins/test_mellea_plugin.py
+++ /dev/null
@@ -1,173 +0,0 @@
-"""Tests for Plugin base class typed accessors and lifecycle."""
-
-from __future__ import annotations
-
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, hook, register
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    yield
-    await shutdown_plugins()
-
-
-def _make_payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Typed context accessors
-# ---------------------------------------------------------------------------
-
-
-class TestGlobalContextAccessors:
-    """GlobalContext.state carries lightweight ambient metadata (backend_name)."""
-
-    async def test_backend_name_in_global_context(self) -> None:
-        """backend_name is set in GlobalContext.state when backend= is passed."""
-        received = []
-
-        class AccessorPlugin(Plugin, name="accessor-test-backend-name"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                received.append(ctx.global_context.state.get("backend_name"))
-                return None
-
-        mock_backend = MagicMock()
-        mock_backend.model_id = "mock-backend"
-        register(AccessorPlugin())
-        await invoke_hook(
-            HookType.SESSION_PRE_INIT, _make_payload(), backend=mock_backend
-        )
-        assert len(received) == 1
-        assert received[0] == "mock-backend"
-
-    async def test_backend_name_absent_when_not_passed(self) -> None:
-        """'backend_name' is absent from state when backend is not passed."""
-        received = []
-
-        class AccessorPlugin(Plugin, name="accessor-absent-backend"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                received.append("backend_name" in ctx.global_context.state)
-                return None
-
-        register(AccessorPlugin())
-        await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-        assert received == [False]
-
-    async def test_full_backend_object_not_in_state(self) -> None:
-        """The full backend object should NOT be stored in GlobalContext.state."""
-        received = []
-
-        class AccessorPlugin(Plugin, name="accessor-no-full-backend"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                received.append("backend" in ctx.global_context.state)
-                return None
-
-        mock_backend = MagicMock()
-        mock_backend.model_id = "test"
-        register(AccessorPlugin())
-        await invoke_hook(
-            HookType.SESSION_PRE_INIT, _make_payload(), backend=mock_backend
-        )
-        assert received == [False]
-
-
-# ---------------------------------------------------------------------------
-# Plugin as context manager
-# ---------------------------------------------------------------------------
-
-
-class TestMelleaPluginContextManager:
-    """Plugin subclass instances can be used as context managers."""
-
-    async def test_mellea_plugin_fires_in_with_block(self) -> None:
-        """Plugin instance used as context manager fires its hooks."""
-        invocations: list = []
-
-        class CmPlugin(Plugin, name="cm-accessor-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                invocations.append(payload)
-                return None
-
-        p = CmPlugin()
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        assert len(invocations) == 1
-
-    async def test_mellea_plugin_deregistered_after_with_block(self) -> None:
-        """Hooks deregister on context manager exit."""
-        invocations: list = []
-
-        class CmPlugin(Plugin, name="cm-deregister-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload: Any, ctx: Any) -> Any:
-                invocations.append(payload)
-                return None
-
-        p = CmPlugin()
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-        assert len(invocations) == 1  # No new invocations outside block
-
-
-# ---------------------------------------------------------------------------
-# PluginViolationError attributes
-# ---------------------------------------------------------------------------
-
-
-class TestPluginViolationError:
-    """PluginViolationError carries structured information about the violation."""
-
-    async def test_violation_error_attributes(self) -> None:
-        """PluginViolationError.hook_type, .reason, .code are set from the violation."""
-        from mellea.plugins import block
-        from mellea.plugins.base import PluginViolationError
-
-        @hook("session_pre_init", priority=1)
-        async def blocking(payload: Any, ctx: Any) -> Any:
-            return block("Too expensive", code="BUDGET_001")
-
-        register(blocking)
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        err = exc_info.value
-        assert err.hook_type == "session_pre_init"
-        assert err.reason == "Too expensive"
-        assert err.code == "BUDGET_001"
-
-    async def test_violation_error_message_contains_context(self) -> None:
-        """str(PluginViolationError) includes hook type and reason."""
-        from mellea.plugins import block
-        from mellea.plugins.base import PluginViolationError
-
-        @hook("session_pre_init")
-        async def blocking(payload: Any, ctx: Any) -> Any:
-            return block("Unauthorized access", code="AUTH_403")
-
-        register(blocking)
-        with pytest.raises(PluginViolationError) as exc_info:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _make_payload())
-
-        msg = str(exc_info.value)
-        assert "session_pre_init" in msg
-        assert "Unauthorized access" in msg
diff --git a/test/plugins/test_pluginset.py b/test/plugins/test_pluginset.py
deleted file mode 100644
index 6acbda7aa..000000000
--- a/test/plugins/test_pluginset.py
+++ /dev/null
@@ -1,55 +0,0 @@
-"""Tests for PluginSet."""
-
-from mellea.plugins.pluginset import PluginSet
-
-
-class TestPluginSet:
-    def test_basic_creation(self):
-        ps = PluginSet("test", [1, 2, 3])
-        assert ps.name == "test"
-        assert len(ps.items) == 3
-        assert ps.priority is None
-
-    def test_with_priority(self):
-        ps = PluginSet("test", [1], priority=10)
-        assert ps.priority == 10
-
-    def test_flatten_simple(self):
-        ps = PluginSet("test", ["a", "b", "c"], priority=5)
-        result = ps.flatten()
-        assert result == [("a", 5), ("b", 5), ("c", 5)]
-
-    def test_flatten_no_priority(self):
-        ps = PluginSet("test", ["a", "b"])
-        result = ps.flatten()
-        assert result == [("a", None), ("b", None)]
-
-    def test_flatten_nested(self):
-        inner = PluginSet("inner", ["x", "y"], priority=10)
-        outer = PluginSet("outer", [inner, "z"], priority=20)
-        result = outer.flatten()
-        # outer's priority overrides inner's priority for ALL items (including nested)
-        assert result == [("x", 20), ("y", 20), ("z", 20)]
-
-    def test_flatten_nested_no_outer_priority(self):
-        inner = PluginSet("inner", ["x", "y"], priority=10)
-        outer = PluginSet("outer", [inner, "z"])  # no priority on outer
-        result = outer.flatten()
-        # outer has no priority → inner items keep inner's priority; direct items get None
-        assert result == [("x", 10), ("y", 10), ("z", None)]
-
-    def test_flatten_deeply_nested(self):
-        deep = PluginSet("deep", ["a"], priority=1)
-        mid = PluginSet("mid", [deep, "b"], priority=2)
-        top = PluginSet("top", [mid, "c"], priority=3)
-        result = top.flatten()
-        # The outermost set's priority wins for all nested items
-        assert result == [("a", 3), ("b", 3), ("c", 3)]
-
-    def test_repr(self):
-        ps = PluginSet("security", [1, 2])
-        assert repr(ps) == "PluginSet('security', 2 items)"
-
-    def test_scope_id_initially_none(self):
-        ps = PluginSet("test", [1, 2])
-        assert ps._scope_id is None
diff --git a/test/plugins/test_policy_enforcement.py b/test/plugins/test_policy_enforcement.py
deleted file mode 100644
index b80a99128..000000000
--- a/test/plugins/test_policy_enforcement.py
+++ /dev/null
@@ -1,329 +0,0 @@
-"""End-to-end tests for payload policy enforcement through invoke_hook.
-
-The plugin manager applies ``HookPayloadPolicy`` after each plugin returns:
-only changes to ``writable_fields`` are accepted; all other mutations are
-silently discarded.  Hooks absent from the policy table are observe-only
-and reject every modification attempt.
-"""
-
-from __future__ import annotations
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import PluginMode, PluginResult, hook, register
-from mellea.plugins.hooks.component import ComponentPostErrorPayload
-from mellea.plugins.hooks.generation import GenerationPreCallPayload
-from mellea.plugins.hooks.sampling import SamplingIterationPayload
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _session_payload(**kwargs) -> SessionPreInitPayload:
-    defaults: dict = dict(backend_name="original-backend", model_id="original-model")
-    defaults.update(kwargs)
-    return SessionPreInitPayload(**defaults)
-
-
-def _generation_payload(**kwargs) -> GenerationPreCallPayload:
-    defaults: dict = dict(
-        model_options={"temperature": 0.5}, formatted_prompt="original prompt"
-    )
-    defaults.update(kwargs)
-    return GenerationPreCallPayload(**defaults)
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Shut down and reset the plugin manager after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# TestWritableFieldAccepted
-# ---------------------------------------------------------------------------
-
-
-class TestWritableFieldAccepted:
-    """Modifications to writable fields must be reflected in the returned payload."""
-
-    async def test_model_id_writable_in_session_pre_init(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def change_model(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_id": "plugin-model"}
-                ),
-            )
-
-        register(change_model)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.model_id == "plugin-model"
-
-    async def test_model_options_writable_in_generation_pre_call(self) -> None:
-        new_options = {"temperature": 0.9, "max_tokens": 512}
-
-        @hook("generation_pre_call", priority=10)
-        async def change_options(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_options": new_options}
-                ),
-            )
-
-        register(change_options)
-
-        payload = _generation_payload()
-        _, returned = await invoke_hook(HookType.GENERATION_PRE_CALL, payload)
-
-        assert returned.model_options == new_options
-
-
-# ---------------------------------------------------------------------------
-# TestNonWritableFieldDiscarded
-# ---------------------------------------------------------------------------
-
-
-class TestNonWritableFieldDiscarded:
-    """Modifications to non-writable base fields must be silently discarded."""
-
-    async def test_session_id_non_writable_in_session_pre_init(self) -> None:
-        original_session_id = "original-session-id"
-
-        @hook("session_pre_init", priority=10)
-        async def tamper_session_id(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"session_id": "tampered-session-id"}
-                ),
-            )
-
-        register(tamper_session_id)
-
-        payload = _session_payload(session_id=original_session_id)
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        # session_id is a base payload field, not in the writable set — must be discarded
-        assert returned.session_id == original_session_id
-
-    async def test_hook_field_non_writable_in_session_pre_init(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def tamper_hook_field(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"hook": "injected-hook-value"}
-                ),
-            )
-
-        register(tamper_hook_field)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        # hook field is set by the dispatcher — plugin cannot override it
-        assert returned.hook == HookType.SESSION_PRE_INIT.value
-
-
-# ---------------------------------------------------------------------------
-# TestObserveOnlyHookAcceptsAll
-# ---------------------------------------------------------------------------
-
-
-class TestObserveOnlyHookRejectsModifications:
-    """Hooks absent from the policy table are 'observe-only': the PluginManager enforces
-    DefaultHookPolicy.DENY, silently discarding all plugin-proposed modifications.
-    """
-
-    async def test_error_type_rejected_in_component_post_error(self) -> None:
-        """component_post_error is observe-only — plugin modifications are discarded."""
-        original_error_type = "ValueError"
-
-        @hook("component_post_error", priority=10)
-        async def tamper_error_type(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"error_type": "HackedError"}
-                ),
-            )
-
-        register(tamper_error_type)
-
-        payload = ComponentPostErrorPayload(
-            component_type="Instruction", error_type=original_error_type
-        )
-        _, returned = await invoke_hook(HookType.COMPONENT_POST_ERROR, payload)
-
-        # DefaultHookPolicy.DENY is now enforced: modification is silently discarded.
-        assert returned.error_type == original_error_type
-
-    async def test_all_validations_passed_rejected_in_sampling_iteration(self) -> None:
-        """sampling_iteration is observe-only — plugin modifications are discarded."""
-
-        @hook("sampling_iteration", priority=10)
-        async def tamper_all_validations_passed(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"all_validations_passed": True}
-                ),
-            )
-
-        register(tamper_all_validations_passed)
-
-        payload = SamplingIterationPayload(iteration=1, all_validations_passed=False)
-        _, returned = await invoke_hook(HookType.SAMPLING_ITERATION, payload)
-
-        # DefaultHookPolicy.DENY is now enforced: modification is silently discarded.
-        assert returned.all_validations_passed is False
-
-
-# ---------------------------------------------------------------------------
-# TestMixedModification
-# ---------------------------------------------------------------------------
-
-
-class TestMixedModification:
-    """When a plugin modifies both writable and non-writable fields, only writable ones survive."""
-
-    async def test_writable_accepted_non_writable_discarded(self) -> None:
-        original_session_id = "original-sid"
-        original_request_id = "original-rid"
-
-        @hook("session_pre_init", priority=10)
-        async def mixed_changes(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={
-                        # writable — should be accepted
-                        "model_id": "new-model",
-                        "model_options": {"temperature": 0.9},
-                        # non-writable — should be discarded
-                        "backend_name": "new-backend",
-                        "session_id": "injected-sid",
-                        "request_id": "injected-rid",
-                    }
-                ),
-            )
-
-        register(mixed_changes)
-
-        payload = _session_payload(
-            session_id=original_session_id, request_id=original_request_id
-        )
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.model_id == "new-model"
-        assert returned.model_options == {"temperature": 0.9}
-        assert returned.backend_name == "original-backend"
-        assert returned.session_id == original_session_id
-        assert returned.request_id == original_request_id
-
-
-# ---------------------------------------------------------------------------
-# TestPayloadChaining
-# ---------------------------------------------------------------------------
-
-
-class TestPayloadChaining:
-    """Accepted changes from Plugin A must be visible to Plugin B during the same invocation."""
-
-    async def test_plugin_b_receives_plugin_a_changes(self) -> None:
-        received_by_b: list[str] = []
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=1)
-        async def plugin_a(payload, ctx):
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_id": "modified-by-a"}
-                ),
-            )
-
-        @hook("session_pre_init", mode=PluginMode.TRANSFORM, priority=100)
-        async def plugin_b(payload, ctx):
-            # Record the model_id seen by Plugin B, then write model_options
-            received_by_b.append(payload.model_id)
-            return PluginResult(
-                continue_processing=True,
-                modified_payload=payload.model_copy(
-                    update={"model_options": {"temperature": 0.9}}
-                ),
-            )
-
-        register(plugin_a)
-        register(plugin_b)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        # Plugin B must have observed Plugin A's accepted model_id change
-        assert received_by_b == ["modified-by-a"]
-
-        # Final payload must carry both accepted modifications
-        assert returned.model_id == "modified-by-a"
-        assert returned.model_options == {"temperature": 0.9}
-
-
-# ---------------------------------------------------------------------------
-# TestReturnNoneIsNoop
-# ---------------------------------------------------------------------------
-
-
-class TestReturnNoneIsNoop:
-    """A plugin that returns ``None`` must leave the payload entirely unchanged."""
-
-    async def test_none_return_preserves_original_payload(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def noop_plugin(payload, ctx):
-            return None  # Returning None signals: no change
-
-        register(noop_plugin)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.backend_name == "original-backend"
-        assert returned.model_id == "original-model"
-
-
-# ---------------------------------------------------------------------------
-# TestReturnContinueTrueNoPayload
-# ---------------------------------------------------------------------------
-
-
-class TestReturnContinueTrueNoPayload:
-    """PluginResult(continue_processing=True) with no modified_payload must be a no-op."""
-
-    async def test_continue_true_without_payload_leaves_original(self) -> None:
-        @hook("session_pre_init", priority=10)
-        async def signal_only_plugin(payload, ctx):
-            return PluginResult(continue_processing=True)  # no modified_payload
-
-        register(signal_only_plugin)
-
-        payload = _session_payload()
-        _, returned = await invoke_hook(HookType.SESSION_PRE_INIT, payload)
-
-        assert returned.backend_name == "original-backend"
-        assert returned.model_id == "original-model"
diff --git a/test/plugins/test_priority_ordering.py b/test/plugins/test_priority_ordering.py
deleted file mode 100644
index 0450e144f..000000000
--- a/test/plugins/test_priority_ordering.py
+++ /dev/null
@@ -1,483 +0,0 @@
-"""Tests for priority-based hook execution ordering.
-
-Priority rules (actual framework behavior)
---------------------------------------------
-- Lower priority numbers execute FIRST (priority=1 runs before priority=50 before priority=100).
-- Resolution order: PluginSet override > @hook priority > Plugin class priority > 50.
-- Plugin class-level priority is the DEFAULT for methods; @hook(priority=N) overrides it per method.
-- PluginSet.priority OVERRIDES the priority of all items in the set, including items with
-  explicit @hook priorities.
-"""
-
-from __future__ import annotations
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, PluginSet, hook, register
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-def _session_payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def cleanup_plugins():
-    """Reset plugin manager state after every test."""
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Priority ordering
-# ---------------------------------------------------------------------------
-
-
-class TestPriorityOrdering:
-    """Lower numeric priority values run first."""
-
-    @pytest.mark.asyncio
-    async def test_three_hooks_fire_in_ascending_priority_order(self) -> None:
-        """Hooks at priorities 30, 10, 50 execute in order [10, 30, 50]."""
-        execution_order: list[int] = []
-
-        @hook("session_pre_init", priority=30)
-        async def hook_priority_30(payload, ctx):
-            execution_order.append(30)
-            return None
-
-        @hook("session_pre_init", priority=10)
-        async def hook_priority_10(payload, ctx):
-            execution_order.append(10)
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def hook_priority_50(payload, ctx):
-            execution_order.append(50)
-            return None
-
-        register(hook_priority_30)
-        register(hook_priority_10)
-        register(hook_priority_50)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == [10, 30, 50]
-
-    @pytest.mark.asyncio
-    async def test_two_hooks_at_same_priority_both_fire(self) -> None:
-        """Two hooks at the same priority both execute (order unspecified)."""
-        fired: set[str] = set()
-
-        @hook("session_pre_init", priority=50)
-        async def hook_a(payload, ctx):
-            fired.add("a")
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def hook_b(payload, ctx):
-            fired.add("b")
-            return None
-
-        register(hook_a)
-        register(hook_b)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert fired == {"a", "b"}
-
-    @pytest.mark.asyncio
-    async def test_default_priority_50_fires_after_priority_1_before_priority_100(
-        self,
-    ) -> None:
-        """Default priority (50) fires after priority=1 and before priority=100."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init", priority=1)
-        async def very_high_priority(payload, ctx):
-            execution_order.append("priority_1")
-            return None
-
-        @hook("session_pre_init")  # default priority=50
-        async def default_priority(payload, ctx):
-            execution_order.append("priority_default")
-            return None
-
-        @hook("session_pre_init", priority=100)
-        async def low_priority(payload, ctx):
-            execution_order.append("priority_100")
-            return None
-
-        register(very_high_priority)
-        register(default_priority)
-        register(low_priority)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("priority_1") < execution_order.index(
-            "priority_default"
-        )
-        assert execution_order.index("priority_default") < execution_order.index(
-            "priority_100"
-        )
-
-    @pytest.mark.asyncio
-    async def test_priority_ordering_is_independent_of_registration_order(self) -> None:
-        """Execution order is determined by priority, not the order hooks are registered."""
-        execution_order: list[str] = []
-
-        # Register high number (low priority) first
-        @hook("session_pre_init", priority=90)
-        async def registered_first_low_priority(payload, ctx):
-            execution_order.append("90")
-            return None
-
-        # Register low number (high priority) second
-        @hook("session_pre_init", priority=10)
-        async def registered_second_high_priority(payload, ctx):
-            execution_order.append("10")
-            return None
-
-        register(registered_first_low_priority)
-        register(registered_second_high_priority)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # priority=10 must run before priority=90 regardless of registration order
-        assert execution_order == ["10", "90"]
-
-    @pytest.mark.asyncio
-    async def test_five_hooks_fire_in_strict_ascending_order(self) -> None:
-        """Five hooks with distinct priorities fire in fully sorted order."""
-        execution_order: list[int] = []
-
-        # Note: each hook must have a unique function name because the plugin registry
-        # uses the function name as an identifier and raises ValueError on duplicates.
-        @hook("session_pre_init", priority=75)
-        async def _h75(payload, ctx):
-            execution_order.append(75)
-            return None
-
-        @hook("session_pre_init", priority=25)
-        async def _h25(payload, ctx):
-            execution_order.append(25)
-            return None
-
-        @hook("session_pre_init", priority=5)
-        async def _h5(payload, ctx):
-            execution_order.append(5)
-            return None
-
-        @hook("session_pre_init", priority=100)
-        async def _h100(payload, ctx):
-            execution_order.append(100)
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def _h50(payload, ctx):
-            execution_order.append(50)
-            return None
-
-        for h in (_h75, _h25, _h5, _h100, _h50):
-            register(h)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == [5, 25, 50, 75, 100]
-
-
-# ---------------------------------------------------------------------------
-# Priority inheritance
-# ---------------------------------------------------------------------------
-
-
-class TestPriorityInheritance:
-    """Plugin class-level priority is the default; @hook method priority overrides it."""
-
-    @pytest.mark.asyncio
-    async def test_plugin_class_priority_applies_to_method_without_explicit_priority(
-        self,
-    ) -> None:
-        """A Plugin with priority=5 makes its @hook method (no explicit priority) fire before a default-priority hook."""
-        execution_order: list[str] = []
-
-        class EarlyPlugin(Plugin, name="high-priority-class-plugin", priority=5):
-            @hook(
-                "session_pre_init"
-            )  # no explicit priority — inherits class priority=5
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("class_plugin_p5")
-                return None
-
-        @hook("session_pre_init", priority=50)  # default priority
-        async def default_hook(payload, ctx):
-            execution_order.append("default_p50")
-            return None
-
-        register(EarlyPlugin())
-        register(default_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("class_plugin_p5") < execution_order.index(
-            "default_p50"
-        )
-
-    @pytest.mark.asyncio
-    async def test_hook_decorator_priority_overrides_plugin_class_priority(
-        self,
-    ) -> None:
-        """@hook(priority=80) on a method overrides Plugin(priority=5) on the class.
-
-        The method-level @hook priority takes precedence over the class-level default.
-        So a Plugin(priority=5) method with @hook(priority=80) fires at effective priority=80.
-        """
-        execution_order: list[str] = []
-
-        class PluginWithMethodPriority(
-            Plugin, name="low-effective-priority-plugin", priority=5
-        ):
-            @hook(
-                "session_pre_init", priority=80
-            )  # @hook priority=80 overrides class priority=5
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("method_p80")
-                return None
-
-        @hook("session_pre_init", priority=50)
-        async def mid_hook(payload, ctx):
-            execution_order.append("standalone_p50")
-            return None
-
-        register(PluginWithMethodPriority())
-        register(mid_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # @hook(priority=80) wins over Plugin(priority=5): method fires at priority=80 (after 50)
-        assert execution_order.index("standalone_p50") < execution_order.index(
-            "method_p80"
-        )
-
-    @pytest.mark.asyncio
-    async def test_class_plugin_priority_lower_number_fires_before_higher_number(
-        self,
-    ) -> None:
-        """Two @plugin classes with different priorities fire in the correct order."""
-        execution_order: list[str] = []
-
-        class FirstPlugin(Plugin, name="plugin-priority-3", priority=3):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_p3")
-                return None
-
-        class SecondPlugin(Plugin, name="plugin-priority-99", priority=99):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_p99")
-                return None
-
-        register(FirstPlugin())
-        register(SecondPlugin())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == ["plugin_p3", "plugin_p99"]
-
-    @pytest.mark.asyncio
-    async def test_method_priority_overrides_class_priority(self) -> None:
-        """@hook method priority overrides the class-level default.
-
-        Plugin(priority=100) with @hook(priority=10) fires at effective priority=10.
-        Plugin(priority=1) with @hook(priority=90) fires at effective priority=90.
-        So the first plugin fires before the second, despite its class priority being higher.
-        """
-        execution_order: list[str] = []
-
-        class PluginA(Plugin, name="multi-method-plugin-low-class", priority=100):
-            @hook(
-                "session_pre_init", priority=10
-            )  # method priority=10 overrides class=100
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_a_effective_p10")
-                return None
-
-        class PluginB(Plugin, name="multi-method-plugin-high-class", priority=1):
-            @hook(
-                "session_pre_init", priority=90
-            )  # method priority=90 overrides class=1
-            async def on_pre_init(self, payload, ctx):
-                execution_order.append("plugin_b_effective_p90")
-                return None
-
-        register(PluginA())
-        register(PluginB())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # effective priorities are 10 and 90; PluginA fires first despite class priority=100
-        assert execution_order == ["plugin_a_effective_p10", "plugin_b_effective_p90"]
-
-
-# ---------------------------------------------------------------------------
-# PluginSet priority
-# ---------------------------------------------------------------------------
-
-
-class TestPluginSetPriority:
-    """PluginSet.priority sets the default priority for items without their own @hook priority."""
-
-    @pytest.mark.asyncio
-    async def test_pluginset_priority_applied_to_items_without_own_priority(
-        self,
-    ) -> None:
-        """Items in a PluginSet with priority=10 fire before an outside hook at priority=50."""
-        execution_order: list[str] = []
-
-        @hook(
-            "session_pre_init"
-        )  # @hook default priority=50; PluginSet will override to 10
-        async def inside_set(payload, ctx):
-            execution_order.append("inside_set")
-            return None
-
-        @hook("session_pre_init", priority=50)
-        async def outside_hook(payload, ctx):
-            execution_order.append("outside_hook")
-            return None
-
-        ps = PluginSet("high-priority-set", [inside_set], priority=10)
-        register(ps)
-        register(outside_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("inside_set") < execution_order.index(
-            "outside_hook"
-        )
-
-    @pytest.mark.asyncio
-    async def test_pluginset_priority_overrides_per_item_hook_priority(self) -> None:
-        """PluginSet priority overrides the item's @hook priority, even when the item has an explicit one.
-
-        An item decorated with @hook(priority=80) placed in a PluginSet(priority=5)
-        fires at effective priority=5, not 80. The PluginSet priority always wins.
-        """
-        execution_order: list[str] = []
-
-        @hook(
-            "session_pre_init", priority=80
-        )  # @hook priority is overridden by PluginSet(priority=5)
-        async def item_with_own_priority(payload, ctx):
-            execution_order.append("item_effective_p5")
-            return None
-
-        @hook("session_pre_init", priority=20)
-        async def standalone_hook(payload, ctx):
-            execution_order.append("standalone_p20")
-            return None
-
-        # PluginSet(priority=5) overrides the item's @hook(priority=80)
-        # so the item fires at effective priority=5 (before standalone_p20=20)
-        ps = PluginSet("low-priority-set", [item_with_own_priority], priority=5)
-        register(ps)
-        register(standalone_hook)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # item fires at PluginSet priority=5, which is before standalone_p20=20
-        assert execution_order.index("item_effective_p5") < execution_order.index(
-            "standalone_p20"
-        )
-
-    @pytest.mark.asyncio
-    async def test_pluginset_without_priority_uses_item_own_priority(self) -> None:
-        """PluginSet with no priority (None) does not override the item's @hook priority."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init", priority=15)
-        async def item_own_p15(payload, ctx):
-            execution_order.append("item_p15")
-            return None
-
-        @hook("session_pre_init", priority=60)
-        async def standalone_p60(payload, ctx):
-            execution_order.append("standalone_p60")
-            return None
-
-        ps = PluginSet("no-priority-set", [item_own_p15])  # priority=None
-        register(ps)
-        register(standalone_p60)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order.index("item_p15") < execution_order.index(
-            "standalone_p60"
-        )
-
-    @pytest.mark.asyncio
-    async def test_nested_pluginsets_honour_inner_set_priority(self) -> None:
-        """In a nested PluginSet, the inner set's priority governs its items."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init")
-        async def inner_item(payload, ctx):
-            execution_order.append("inner")
-            return None
-
-        @hook("session_pre_init")
-        async def outer_only_item(payload, ctx):
-            execution_order.append("outer")
-            return None
-
-        inner_ps = PluginSet("inner", [inner_item], priority=5)
-        outer_ps = PluginSet("outer", [inner_ps, outer_only_item], priority=70)
-
-        register(outer_ps)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        # inner_item gets priority=5 (inner set); outer_only_item gets priority=70 (outer set)
-        assert execution_order.index("inner") < execution_order.index("outer")
-
-    @pytest.mark.asyncio
-    async def test_multiple_pluginsets_fire_in_set_priority_order(self) -> None:
-        """Items from a lower-priority PluginSet fire before items from a higher-priority one."""
-        execution_order: list[str] = []
-
-        @hook("session_pre_init")
-        async def alpha(payload, ctx):
-            execution_order.append("alpha")
-            return None
-
-        @hook("session_pre_init")
-        async def beta(payload, ctx):
-            execution_order.append("beta")
-            return None
-
-        # alpha is in a set with priority=3 (fires first), beta in priority=80 (fires later)
-        ps_early = PluginSet("early-set", [alpha], priority=3)
-        ps_late = PluginSet("late-set", [beta], priority=80)
-
-        register(ps_early)
-        register(ps_late)
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _session_payload())
-
-        assert execution_order == ["alpha", "beta"]
diff --git a/test/plugins/test_scoping.py b/test/plugins/test_scoping.py
deleted file mode 100644
index cf22f7107..000000000
--- a/test/plugins/test_scoping.py
+++ /dev/null
@@ -1,616 +0,0 @@
-"""Tests for plugin scoping: session-scoped and with-block-scoped."""
-
-from typing import Any
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, PluginSet, hook, plugin_scope, register
-from mellea.plugins.base import MelleaPlugin, PluginResult
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import (
-    deregister_session_plugins,
-    invoke_hook,
-    shutdown_plugins,
-)
-from mellea.plugins.types import HookType
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    """Reset the plugin manager to a clean state after every test."""
-    yield
-    await shutdown_plugins()
-
-
-def _payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Session-scoped plugins
-# ---------------------------------------------------------------------------
-
-
-class TestSessionScopedPlugins:
-    """Plugins registered via ``register(..., session_id=sid)``."""
-
-    async def test_fires_while_session_active(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        register(my_hook, session_id="s1")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_session_cleanup(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        register(my_hook, session_id="s-cleanup")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        deregister_session_plugins("s-cleanup")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new invocations after cleanup
-
-    async def test_global_plugin_unaffected_by_session_cleanup(self) -> None:
-        """Deregistering a session should leave globally registered plugins intact."""
-        global_calls = []
-        session_calls = []
-
-        @hook("session_pre_init")
-        async def global_hook(payload, ctx):
-            global_calls.append(payload)
-            return None
-
-        @hook("session_pre_init")
-        async def session_hook(payload, ctx):
-            session_calls.append(payload)
-            return None
-
-        register(global_hook)
-        register(session_hook, session_id="s-isolated")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(global_calls) == 1
-        assert len(session_calls) == 1
-
-        deregister_session_plugins("s-isolated")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(global_calls) == 2  # Still firing
-        assert len(session_calls) == 1  # Stopped
-
-    async def test_deregister_unknown_session_is_noop(self) -> None:
-        """Deregistering a session ID that was never registered does not raise."""
-        deregister_session_plugins("never-registered-session-xyz")
-
-    async def test_class_plugin_session_scoped(self) -> None:
-        invocations = []
-
-        class MyPlugin(Plugin, name="cls-session-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(payload)
-                return None
-
-        register(MyPlugin(), session_id="s-class")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        deregister_session_plugins("s-class")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Stopped
-
-    async def test_pluginset_session_scoped(self) -> None:
-        """PluginSet items honour session-scoped deregistration when passed to register()."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        register(PluginSet("ps-session", [hook_a, hook_b]), session_id="s-ps")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert "a" in invocations
-        assert "b" in invocations
-
-        count_before = len(invocations)
-        deregister_session_plugins("s-ps")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == count_before  # No new calls
-
-    async def test_two_sessions_deregistered_independently(self) -> None:
-        calls_a = []
-        calls_b = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-            return None
-
-        register(hook_a, session_id="session-A")
-        register(hook_b, session_id="session-B")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        # End session A — hook_b should still fire
-        deregister_session_plugins("session-A")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1  # Stopped
-        assert len(calls_b) == 2  # Still firing
-
-        # End session B — everything silent
-        deregister_session_plugins("session-B")
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 2
-
-
-# ---------------------------------------------------------------------------
-# PluginSet as a context manager
-# ---------------------------------------------------------------------------
-
-
-class TestPluginSetContextManager:
-    async def test_fires_inside_with_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with PluginSet("ctx-basic", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_with_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with PluginSet("ctx-cleanup", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        # Outside the block
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls
-
-    async def test_deregistered_on_exception(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        ps = PluginSet("ctx-exc", [my_hook])
-        with pytest.raises(ValueError):
-            with ps:
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                assert len(invocations) == 1
-                raise ValueError("deliberate error")
-
-        # Plugin must be deregistered despite the exception
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    def test_scope_id_cleared_after_exit(self) -> None:
-        """_scope_id is reset to None once __exit__ is called."""
-        # We need to check state change but __enter__ requires the framework —
-        # just verify the initial state here; integration validated by other tests.
-        ps = PluginSet("state-check", [])
-        assert ps._scope_id is None
-
-    async def test_raises_on_reentrant_use_of_same_instance(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        ps = PluginSet("reentrant", [my_hook])
-        with ps:
-            with pytest.raises(RuntimeError, match="already active"):
-                with ps:
-                    pass
-
-    async def test_async_with_fires_inside_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with PluginSet("async-ctx", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_async_with_deregisters_after_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with PluginSet("async-cleanup", [my_hook]):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_nested_different_instances(self) -> None:
-        """Two different PluginSet instances can be nested."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        ps_a = PluginSet("set-a", [hook_a])
-        ps_b = PluginSet("set-b", [hook_b])
-
-        with ps_a:
-            with ps_b:
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                # Both hooks should have fired
-                assert "a" in invocations
-                assert "b" in invocations
-
-            # ps_b exited — only hook_a should remain
-            invocations.clear()
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-            assert invocations == ["a"]
-
-        # ps_a exited — no hooks remain
-        invocations.clear()
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert invocations == []
-
-    async def test_scope_id_set_on_enter_and_cleared_on_exit(self) -> None:
-        ps = PluginSet("state-lifecycle", [])
-        assert ps._scope_id is None
-        with ps:
-            assert ps._scope_id is not None
-        assert ps._scope_id is None
-
-    async def test_reuse_after_exit(self) -> None:
-        """The same PluginSet instance can be entered again after a previous exit."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        ps = PluginSet("reuse-after-exit", [my_hook])
-
-        with ps:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        # After first scope is closed, a second entry should work
-        with ps:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 2
-
-
-# ---------------------------------------------------------------------------
-# plugin_scope() context manager
-# ---------------------------------------------------------------------------
-
-
-class TestPluginScopeContextManager:
-    async def test_standalone_hook_fires_inside_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls outside the block
-
-    async def test_deregistered_on_exception(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        with pytest.raises(RuntimeError):
-            with plugin_scope(my_hook):
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                assert len(invocations) == 1
-                raise RuntimeError("deliberate")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Deregistered despite the exception
-
-    async def test_class_plugin_fires_and_deregisters(self) -> None:
-        invocations = []
-
-        class MyPlugin(Plugin, name="scope-cls-plugin"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(payload)
-                return None
-
-        with plugin_scope(MyPlugin()):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Stopped
-
-    async def test_pluginset_fires_and_deregisters(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            invocations.append("a")
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            invocations.append("b")
-            return None
-
-        ps = PluginSet("scope-ps", [hook_a, hook_b])
-        with plugin_scope(ps):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert "a" in invocations
-        assert "b" in invocations
-
-        count_before = len(invocations)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == count_before
-
-    async def test_mixed_items(self) -> None:
-        """plugin_scope accepts standalone hooks, class plugins, and PluginSets together."""
-        invocations = []
-
-        @hook("session_pre_init")
-        async def standalone(payload, ctx):
-            invocations.append("standalone")
-            return None
-
-        class ClassPlugin(Plugin, name="scope-mixed-cls"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append("class")
-                return None
-
-        @hook("session_pre_init")
-        async def in_set(payload, ctx):
-            invocations.append("in_set")
-            return None
-
-        ps = PluginSet("scope-inner-set", [in_set])
-        with plugin_scope(standalone, ClassPlugin(), ps):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert "standalone" in invocations
-        assert "class" in invocations
-        assert "in_set" in invocations
-
-        count_before = len(invocations)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == count_before  # All deregistered
-
-    async def test_async_with_fires_inside_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_async_with_deregisters_after_block(self) -> None:
-        invocations = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-            return None
-
-        async with plugin_scope(my_hook):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_sequential_scopes_are_independent(self) -> None:
-        """Two consecutive plugin_scope blocks use separate scope IDs and don't interfere."""
-        calls_a = []
-        calls_b = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-            return None
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-            return None
-
-        with plugin_scope(hook_a):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        with plugin_scope(hook_b):
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-    async def test_empty_plugin_scope_is_noop(self) -> None:
-        """plugin_scope with no items enters and exits without error."""
-        with plugin_scope():
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        # No assertion needed — just verifying no exception is raised
-
-
-# ---------------------------------------------------------------------------
-# MelleaPlugin as a context manager
-# ---------------------------------------------------------------------------
-
-
-def _make_mellea_plugin(invocations: list) -> Plugin:
-    """Build a minimal concrete MelleaPlugin that records session_pre_init calls."""
-
-    class _TrackingPlugin(Plugin, name="tracking-plugin"):
-        @hook(hook_type=HookType.SESSION_PRE_INIT)
-        async def session_pre_init(self, payload: Any, context: Any):
-            invocations.append(payload)
-            return PluginResult(continue_processing=True)
-
-    return _TrackingPlugin()
-
-
-class TestMelleaPluginContextManager:
-    async def test_fires_inside_with_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_deregistered_after_with_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls outside the block
-
-    async def test_deregistered_on_exception(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with pytest.raises(ValueError):
-            with p:
-                await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-                assert len(invocations) == 1
-                raise ValueError("deliberate")
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # Deregistered despite the exception
-
-    async def test_raises_on_reentrant_use(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            with pytest.raises(RuntimeError, match="already active"):
-                with p:
-                    pass
-
-    async def test_scope_id_set_on_enter_and_cleared_on_exit(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        assert getattr(p, "_scope_id", None) is None
-        with p:
-            assert getattr(p, "_scope_id", None) is not None
-        assert getattr(p, "_scope_id", None) is None
-
-    async def test_reuse_after_exit(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 2
-
-    async def test_async_with_fires_inside_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        async with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        assert len(invocations) == 1
-
-    async def test_async_with_deregisters_after_block(self) -> None:
-        invocations: list = []
-        p = _make_mellea_plugin(invocations)
-
-        async with p:
-            await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
diff --git a/test/plugins/test_tool_hooks_redaction.py b/test/plugins/test_tool_hooks_redaction.py
deleted file mode 100644
index 96e2aac73..000000000
--- a/test/plugins/test_tool_hooks_redaction.py
+++ /dev/null
@@ -1,235 +0,0 @@
-"""Unit tests verifying that tool hooks can redact sensitive data:
-
-- TOOL_PRE_INVOKE: replace model_tool_call.args before the tool runs
-- TOOL_POST_INVOKE: replace tool_output after the tool runs
-
-No LLM is required — the test constructs a ModelOutputThunk directly with a
-pre-built tool_calls dict and exercises _acall_tools in isolation.
-"""
-
-from __future__ import annotations
-
-import dataclasses
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.core.base import AbstractMelleaTool, ModelOutputThunk, ModelToolCall
-from mellea.plugins import PluginResult, hook, register
-from mellea.plugins.manager import shutdown_plugins
-from mellea.plugins.types import HookType
-from mellea.stdlib.functional import _acall_tools
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-class _RecordingTool(AbstractMelleaTool):
-    """A tool that records the kwargs it was invoked with."""
-
-    name = "sensitive_tool"
-
-    def __init__(self) -> None:
-        self.calls: list[dict[str, Any]] = []
-
-    def run(self, **kwargs: Any) -> str:
-        self.calls.append(dict(kwargs))
-        return f"ran with {kwargs}"
-
-    @property
-    def as_json_tool(self) -> dict[str, Any]:
-        return {"name": self.name, "description": "recording tool", "parameters": {}}
-
-
-def _make_result(tool_call: ModelToolCall) -> ModelOutputThunk:
-    """Wrap a single ModelToolCall in a minimal ModelOutputThunk."""
-    mot = MagicMock(spec=ModelOutputThunk)
-    mot.tool_calls = {tool_call.name: tool_call}
-    return mot
-
-
-# ---------------------------------------------------------------------------
-# Fixtures
-# ---------------------------------------------------------------------------
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    yield
-    await shutdown_plugins()
-
-
-# ---------------------------------------------------------------------------
-# Tests
-# ---------------------------------------------------------------------------
-
-
-class TestToolArgRedactionViaHook:
-    """A tool_pre_invoke hook that modifies model_tool_call.args causes the
-    tool to be invoked with the redacted arguments."""
-
-    async def test_hook_redacts_sensitive_arg(self) -> None:
-        """Hook replaces a sensitive arg value; the ToolMessage reflects the redacted value."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool",
-            func=recording_tool,
-            args={"user_input": "my secret password", "limit": 10},
-        )
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def redact_password(payload, *_):
-            mtc = payload.model_tool_call
-            redacted_args = {**mtc.args, "user_input": "[REDACTED]"}
-            new_call = dataclasses.replace(mtc, args=redacted_args)
-            modified = payload.model_copy(update={"model_tool_call": new_call})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(redact_password)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert len(tool_messages) == 1
-        assert "[REDACTED]" in tool_messages[0].content
-        assert "my secret password" not in tool_messages[0].content
-
-    async def test_hook_receives_original_args_in_payload(self) -> None:
-        """The hook payload contains the original (un-redacted) args."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"token": "abc123"}
-        )
-        result = _make_result(original_call)
-
-        observed_args: list[dict] = []
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def capture_payload(payload, *_):
-            observed_args.append(dict(payload.model_tool_call.args))
-
-        register(capture_payload)
-
-        await _acall_tools(result, MagicMock())
-
-        assert len(observed_args) == 1
-        assert observed_args[0]["token"] == "abc123"
-
-    async def test_no_hook_modification_leaves_args_unchanged(self) -> None:
-        """When the hook returns None the original args are used unchanged."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"value": "keep-me"}
-        )
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def observe_only(*_):
-            return None  # no modification
-
-        register(observe_only)
-
-        await _acall_tools(result, MagicMock())
-
-        assert recording_tool.calls[0]["value"] == "keep-me"
-
-    async def test_hook_can_redact_multiple_fields(self) -> None:
-        """A hook that redacts several fields; all redacted values appear in the output."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool",
-            func=recording_tool,
-            args={"ssn": "123-45-6789", "email": "user@example.com", "count": 3},
-        )
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_PRE_INVOKE)
-        async def redact_pii(payload, *_):
-            mtc = payload.model_tool_call
-            redacted_args = {**mtc.args, "ssn": "[REDACTED]", "email": "[REDACTED]"}
-            new_call = dataclasses.replace(mtc, args=redacted_args)
-            modified = payload.model_copy(update={"model_tool_call": new_call})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(redact_pii)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert len(tool_messages) == 1
-        assert "123-45-6789" not in tool_messages[0].content
-        assert "user@example.com" not in tool_messages[0].content
-        assert "[REDACTED]" in tool_messages[0].content
-
-
-class TestToolOutputRedactionViaHook:
-    """A tool_post_invoke hook that modifies tool_output causes the ToolMessage
-    content to reflect the redacted value."""
-
-    async def test_hook_redacts_sensitive_output(self) -> None:
-        """Hook replaces tool_output; ToolMessage content reflects the redacted value."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"query": "user profile"}
-        )
-        # The tool returns a string containing a secret token.
-        recording_tool.run = lambda **_: "token=supersecret,role=admin"  # type: ignore[method-assign]
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_POST_INVOKE)
-        async def redact_token(payload, *_):
-            redacted = str(payload.tool_output).replace("supersecret", "[REDACTED]")
-            modified = payload.model_copy(update={"tool_output": redacted})
-            return PluginResult(continue_processing=True, modified_payload=modified)
-
-        register(redact_token)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert len(tool_messages) == 1
-        assert "supersecret" not in tool_messages[0].content
-        assert "[REDACTED]" in tool_messages[0].content
-
-    async def test_hook_receives_raw_output_in_payload(self) -> None:
-        """The hook payload contains the un-redacted tool output."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"query": "data"}
-        )
-        recording_tool.run = lambda **_: "password=hunter2"  # type: ignore[method-assign]
-        result = _make_result(original_call)
-
-        observed_outputs: list[str] = []
-
-        @hook(HookType.TOOL_POST_INVOKE)
-        async def capture_output(payload, *_):
-            observed_outputs.append(str(payload.tool_output))
-
-        register(capture_output)
-
-        await _acall_tools(result, MagicMock())
-
-        assert len(observed_outputs) == 1
-        assert "password=hunter2" in observed_outputs[0]
-
-    async def test_no_hook_modification_leaves_output_unchanged(self) -> None:
-        """When the hook returns None the original tool output is used unchanged."""
-        recording_tool = _RecordingTool()
-        original_call = ModelToolCall(
-            name="sensitive_tool", func=recording_tool, args={"query": "safe"}
-        )
-        recording_tool.run = lambda **_: "safe result"  # type: ignore[method-assign]
-        result = _make_result(original_call)
-
-        @hook(HookType.TOOL_POST_INVOKE)
-        async def observe_only(*_):
-            return None
-
-        register(observe_only)
-
-        tool_messages = await _acall_tools(result, MagicMock())
-
-        assert tool_messages[0].content == "safe result"
diff --git a/test/plugins/test_unregister.py b/test/plugins/test_unregister.py
deleted file mode 100644
index 5b5304359..000000000
--- a/test/plugins/test_unregister.py
+++ /dev/null
@@ -1,223 +0,0 @@
-"""Tests for the ``unregister()`` public API."""
-
-from typing import Any
-
-import pytest
-
-pytest.importorskip("cpex.framework")
-
-from mellea.plugins import Plugin, PluginSet, hook, register, unregister
-from mellea.plugins.hooks.session import SessionPreInitPayload
-from mellea.plugins.manager import invoke_hook, shutdown_plugins
-from mellea.plugins.types import HookType
-
-
-@pytest.fixture(autouse=True)
-async def reset_plugins():
-    yield
-    await shutdown_plugins()
-
-
-def _payload() -> SessionPreInitPayload:
-    return SessionPreInitPayload(
-        backend_name="test-backend", model_id="test-model", model_options=None
-    )
-
-
-# ---------------------------------------------------------------------------
-# Standalone @hook functions
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterStandaloneHook:
-    async def test_hook_stops_firing_after_unregister(self) -> None:
-        invocations: list[Any] = []
-
-        @hook("session_pre_init")
-        async def my_hook(payload, ctx):
-            invocations.append(payload)
-
-        register(my_hook)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        unregister(my_hook)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1  # No new calls after unregister
-
-    async def test_other_hooks_unaffected(self) -> None:
-        """Unregistering one hook leaves other registered hooks intact."""
-        calls_a: list[Any] = []
-        calls_b: list[Any] = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-
-        register(hook_a)
-        register(hook_b)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        unregister(hook_a)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1  # Stopped
-        assert len(calls_b) == 2  # Still firing
-
-    async def test_unregister_not_registered_is_noop(self) -> None:
-        """Unregistering a hook that was never registered does not raise."""
-
-        @hook("session_pre_init")
-        async def never_registered(payload, ctx):
-            pass
-
-        unregister(never_registered)  # Should not raise
-
-    async def test_unregister_list_of_hooks(self) -> None:
-        calls_a: list[Any] = []
-        calls_b: list[Any] = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-
-        register(hook_a)
-        register(hook_b)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        unregister([hook_a, hook_b])
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-
-# ---------------------------------------------------------------------------
-# Plugin subclass instances
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterClassPlugin:
-    async def test_class_plugin_stops_firing_after_unregister(self) -> None:
-        invocations: list[Any] = []
-
-        class MyPlugin(Plugin, name="unregister-cls-test"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                invocations.append(payload)
-
-        instance = MyPlugin()
-        register(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-        unregister(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(invocations) == 1
-
-    async def test_unregister_class_plugin_leaves_standalone_hook_intact(self) -> None:
-        standalone_calls: list[Any] = []
-        class_calls: list[Any] = []
-
-        @hook("session_pre_init")
-        async def standalone(payload, ctx):
-            standalone_calls.append(payload)
-
-        class MyPlugin(Plugin, name="unregister-cls-isolation"):
-            @hook("session_pre_init")
-            async def on_pre_init(self, payload, ctx):
-                class_calls.append(payload)
-
-        instance = MyPlugin()
-        register(standalone)
-        register(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(standalone_calls) == 1
-        assert len(class_calls) == 1
-
-        unregister(instance)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(standalone_calls) == 2  # Still firing
-        assert len(class_calls) == 1  # Stopped
-
-
-# ---------------------------------------------------------------------------
-# PluginSet
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterPluginSet:
-    async def test_pluginset_all_items_stop_firing(self) -> None:
-        calls_a: list[Any] = []
-        calls_b: list[Any] = []
-
-        @hook("session_pre_init")
-        async def hook_a(payload, ctx):
-            calls_a.append(payload)
-
-        @hook("session_pre_init")
-        async def hook_b(payload, ctx):
-            calls_b.append(payload)
-
-        ps = PluginSet("unregister-ps-test", [hook_a, hook_b])
-        register(ps)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-        unregister(ps)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(calls_a) == 1
-        assert len(calls_b) == 1
-
-    async def test_unregister_pluginset_leaves_other_plugins_intact(self) -> None:
-        ps_calls: list[Any] = []
-        other_calls: list[Any] = []
-
-        @hook("session_pre_init")
-        async def in_set(payload, ctx):
-            ps_calls.append(payload)
-
-        @hook("session_pre_init")
-        async def other(payload, ctx):
-            other_calls.append(payload)
-
-        ps = PluginSet("unregister-ps-isolation", [in_set])
-        register(ps)
-        register(other)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(ps_calls) == 1
-        assert len(other_calls) == 1
-
-        unregister(ps)
-        await invoke_hook(HookType.SESSION_PRE_INIT, _payload())
-        assert len(ps_calls) == 1  # Stopped
-        assert len(other_calls) == 2  # Still firing
-
-
-# ---------------------------------------------------------------------------
-# Error handling
-# ---------------------------------------------------------------------------
-
-
-class TestUnregisterErrors:
-    async def test_unregister_unrecognized_type_raises_type_error(self) -> None:
-        # Initialize the plugin manager by registering something first.
-        @hook("session_pre_init")
-        async def dummy(payload, ctx):
-            pass
-
-        register(dummy)
-
-        with pytest.raises(TypeError, match="Cannot unregister"):
-            unregister(object())  # type: ignore[arg-type]
diff --git a/uv.lock b/uv.lock
index e64504fb0..6330ba332 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.11"
 resolution-markers = [
     "python_full_version >= '3.14' and python_full_version < '4'",
@@ -887,7 +887,7 @@ name = "colorlog"
 version = "6.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "python_full_version < '3.14' and sys_platform == 'win32'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a2/61/f083b5ac52e505dfc1c624eafbf8c7589a0d7f32daa398d2e7590efa5fda/colorlog-6.10.1.tar.gz", hash = "sha256:eb4ae5cb65fe7fec7773c2306061a8e63e02efc2c72eba9d27b0fa23c94f1321", size = 17162, upload-time = "2025-10-16T16:14:11.978Z" }
 wheels = [
@@ -908,10 +908,11 @@ name = "compressed-tensors"
 version = "0.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "loguru", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "pydantic", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "torch", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "transformers", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
+    { name = "loguru" },
+    { name = "pydantic" },
+    { name = "torch", version = "2.9.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12' and python_full_version < '3.14'" },
+    { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12' or python_full_version >= '3.14'" },
+    { name = "transformers" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/fc/65/88dd1c58fb9d0ded51b5c86471b937a1525f91fad2211a6f051dc1ea822d/compressed_tensors-0.13.0.tar.gz", hash = "sha256:23893824d3498ea3f1a829f14a8fa85f9a5e76a34c711a038b8d7c619ca9a67c", size = 200995, upload-time = "2025-12-16T16:03:55.397Z" }
 wheels = [
@@ -1010,27 +1011,6 @@ toml = [
     { name = "tomli", marker = "python_full_version <= '3.11'" },
 ]
 
-[[package]]
-name = "cpex"
-version = "0.1.0.dev10"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "fastapi" },
-    { name = "httpx", extra = ["http2"] },
-    { name = "jinja2" },
-    { name = "mcp" },
-    { name = "orjson" },
-    { name = "prometheus-client" },
-    { name = "prometheus-fastapi-instrumentator" },
-    { name = "pydantic" },
-    { name = "pydantic-settings" },
-    { name = "pyyaml" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/4b/46/de3b6eef0b0e02b5592319929e71f092baeb671a9ca2c6376ab97065e2ed/cpex-0.1.0.dev10.tar.gz", hash = "sha256:56074a8091be0a0a487dc1fabdb112b0f1ec420ccca5c2274cfb87405ab6d83b", size = 748792, upload-time = "2026-03-10T08:34:16.807Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/15/5e/cff6fe6b3b28e2971fe8dbe1f3d73ebf48ec128d383b306212deb52e5b1b/cpex-0.1.0.dev10-py3-none-any.whl", hash = "sha256:fb7f2af5ce9aad39d57410d758f81089712fd29e94eb9dec3ef8576405b308c1", size = 163576, upload-time = "2026-03-10T08:34:15.39Z" },
-]
-
 [[package]]
 name = "cryptography"
 version = "46.0.3"
@@ -1040,57 +1020,54 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/9f/33/c00162f49c0e2fe8064a62cb92b93e50c74a72bc370ab92f86112b33ff62/cryptography-46.0.3.tar.gz", hash = "sha256:a8b17438104fed022ce745b362294d9ce35b4c2e45c1d958ad4a4b019285f4a1", size = 749258, upload-time = "2025-10-15T23:18:31.74Z" }
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-    { url = "https://files.pythonhosted.org/packages/1c/67/38769ca6b65f07461eb200e85fc1639b438bdc667be02cf7f2cd6a64601c/cryptography-46.0.3-cp311-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:09859af8466b69bc3c27bdf4f5d84a665e0f7ab5088412e9e2ec49758eca5cbc", size = 4296667, upload-time = "2025-10-15T23:16:54.369Z" },
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-    { name = "cuda-pathfinder", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
+    { name = "cuda-bindings" },
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+    { name = "pydantic-settings" },
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@@ -3670,12 +3615,10 @@ dependencies = [
 all = [
     { name = "accelerate" },
     { name = "boto3" },
-    { name = "cpex" },
     { name = "datasets" },
     { name = "docling" },
     { name = "elasticsearch" },
     { name = "fastapi" },
-    { name = "grpcio" },
     { name = "huggingface-hub" },
     { name = "ibm-watsonx-ai" },
     { name = "langchain-core" },
@@ -3731,10 +3674,6 @@ hf = [
     { name = "trl" },
     { name = "xgrammar" },
 ]
-hooks = [
-    { name = "cpex" },
-    { name = "grpcio" },
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 litellm = [
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     { name = "litellm" },
@@ -3788,7 +3727,6 @@ dev = [
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     { name = "pytest-recording" },
     { name = "pytest-timeout" },
-    { name = "pytest-xdist" },
     { name = "python-semantic-release" },
     { name = "ruff" },
     { name = "sentencepiece" },
@@ -3825,7 +3763,6 @@ test = [
     { name = "pytest-cov" },
     { name = "pytest-recording" },
     { name = "pytest-timeout" },
-    { name = "pytest-xdist" },
     { name = "sentencepiece" },
 ]
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@@ -3839,12 +3776,10 @@ requires-dist = [
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     { name = "boto3", marker = "extra == 'litellm'" },
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     { name = "elasticsearch", marker = "extra == 'granite-retriever'", specifier = ">=8.0.0,<9.0.0" },
     { name = "fastapi", marker = "extra == 'server'" },
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     { name = "ibm-watsonx-ai", marker = "extra == 'watsonx'", specifier = ">=1.3.31" },
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-    { name = "mellea", extras = ["backends", "docling", "tools", "telemetry", "server", "sandbox", "granite-retriever", "hooks"], marker = "extra == 'all'" },
+    { name = "mellea", extras = ["backends", "docling", "tools", "telemetry", "server", "sandbox", "granite-retriever"], marker = "extra == 'all'" },
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-provides-extras = ["hf", "vllm", "litellm", "watsonx", "tools", "telemetry", "docling", "granite-retriever", "server", "sandbox", "backends", "hooks", "all"]
+provides-extras = ["hf", "vllm", "litellm", "watsonx", "tools", "telemetry", "docling", "granite-retriever", "server", "sandbox", "backends", "all"]
 
 [package.metadata.requires-dev]
 build = [{ name = "pdm", specifier = ">=2.24.0" }]
@@ -3902,7 +3837,6 @@ dev = [
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     { name = "pytest-recording" },
     { name = "pytest-timeout" },
-    { name = "pytest-xdist", specifier = ">=3.8.0" },
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     { name = "sentencepiece", specifier = "==0.2.1" },
@@ -3937,7 +3871,6 @@ test = [
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     { name = "pytest-recording" },
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-    { name = "pytest-xdist", specifier = ">=3.8.0" },
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 ]
 typecheck = [
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 [[package]]

From d2a57c699a67794d829bb01749d7b03209e730aa Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 06:48:07 +0000
Subject: [PATCH 29/38] sync: with main

---
 mellea/core/base.py                |   67 +-
 mellea/plugins/__init__.py         |   29 +
 mellea/plugins/context.py          |   36 +
 mellea/plugins/decorators.py       |   49 +
 mellea/plugins/hooks/__init__.py   |   48 +
 mellea/plugins/hooks/component.py  |   82 +
 mellea/plugins/hooks/generation.py |   48 +
 mellea/plugins/hooks/sampling.py   |  101 +
 mellea/plugins/hooks/session.py    |   64 +
 mellea/plugins/hooks/tool.py       |   39 +
 mellea/plugins/hooks/validation.py |   43 +
 mellea/plugins/pluginset.py        |   93 +
 mellea/plugins/types.py            |  151 +
 test/conftest.py                   |   20 +-
 test/decompose/test_decompose.py   |   80 +-
 uv.lock                            | 5786 ++++++++++++++--------------
 16 files changed, 3835 insertions(+), 2901 deletions(-)
 create mode 100644 mellea/plugins/__init__.py
 create mode 100644 mellea/plugins/context.py
 create mode 100644 mellea/plugins/decorators.py
 create mode 100644 mellea/plugins/hooks/__init__.py
 create mode 100644 mellea/plugins/hooks/component.py
 create mode 100644 mellea/plugins/hooks/generation.py
 create mode 100644 mellea/plugins/hooks/sampling.py
 create mode 100644 mellea/plugins/hooks/session.py
 create mode 100644 mellea/plugins/hooks/tool.py
 create mode 100644 mellea/plugins/hooks/validation.py
 create mode 100644 mellea/plugins/pluginset.py
 create mode 100644 mellea/plugins/types.py

diff --git a/mellea/core/base.py b/mellea/core/base.py
index c9b743f42..4ec601e0a 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -49,15 +49,15 @@ def value(self) -> str | None:
         return self._underlying_value
 
     @value.setter
-    def value(self, v: str) -> None:
+    def value(self, v: str):
         """Sets the value of the block."""
         self._underlying_value = v
 
-    def __str__(self) -> str:
+    def __str__(self):
         """Stringifies the block."""
         return self.value if self.value else ""
 
-    def __repr__(self) -> str:
+    def __repr__(self):
         """Provides a python-parsable representation of the block (usually)."""
         return f"CBlock({self.value}, {self._meta.__repr__()})"
 
@@ -116,7 +116,7 @@ def from_pil_image(
         image_base64 = cls.pil_to_base64(image)
         return cls(image_base64, meta)
 
-    def __repr__(self) -> str:
+    def __repr__(self):
         """Provides a python-parsable representation of the block (usually)."""
         return f"ImageBlock({self.value}, {self._meta.__repr__()})"
 
@@ -215,21 +215,7 @@ def __init__(
 
         self._generate_log: GenerateLog | None = None
 
-    def _copy_from(self, other: ModelOutputThunk) -> None:
-        """Copy computed-output fields from *other* into *self*.
-
-        This is used when a hook replaces the MOT: callers already hold a
-        reference to *self*, so we swap the output-relevant state in-place
-        rather than replacing the object.
-        """
-        self._underlying_value = other._underlying_value
-        self._meta = other._meta
-        self.parsed_repr = other.parsed_repr
-        self.tool_calls = other.tool_calls
-        self._thinking = other._thinking
-        self._generate_log = other._generate_log
-
-    def is_computed(self) -> bool:
+    def is_computed(self):
         """Returns true only if this Thunk has already been filled."""
         return self._computed
 
@@ -241,7 +227,7 @@ def value(self) -> str | None:
         return self._underlying_value
 
     @value.setter
-    def value(self, v: str) -> None:
+    def value(self, v: str):
         """Sets the value of the block."""
         self._underlying_value = v
 
@@ -282,9 +268,8 @@ async def astream(self) -> str:
             RuntimeError: If called when the ModelOutputThunk's generate function is not async compatible.
         """
         if self._computed:
-            raise RuntimeError(
-                "Streaming has finished and MOT is computed. Subsequent calls to mot.astream() are not permitted."
-            )
+            assert self.value is not None  # If computed, the value cannot be None.
+            return self.value
 
         do_set_computed = False
 
@@ -374,31 +359,7 @@ async def astream(self) -> str:
             assert self.parsed_repr is not None, (
                 "enforce constraint that a computed ModelOutputThunk has a non-None parsed_repr"
             )
-<<<<<<< HEAD
-
-            # --- generation_post_call hook ---
-            if has_plugins(HookType.GENERATION_POST_CALL):
-                from ..plugins.hooks.generation import GenerationPostCallPayload
-
-                glog = self._generate_log
-                prompt = glog.prompt if glog and glog.prompt else ""
-                latency_ms = (
-                    (datetime.datetime.now() - self._start).total_seconds() * 1000
-                    if self._start
-                    else -1
-                )
-                post_payload = GenerationPostCallPayload(
-                    prompt=prompt, model_output=self, latency_ms=latency_ms
-                )
-                await invoke_hook(HookType.GENERATION_POST_CALL, post_payload)
-                # NOTE: If we allow generation_post_call to modify the model output thunk, we need to
-                # set the value and copy over fields here.
-                # replacement = await invoke_hook(...)
-                # if replacement is not None and replacement is not self:
-                #     self._copy_from(replacement)
-=======
             return self._underlying_value  # type: ignore
->>>>>>> parent of dd14229 (feat: hook system and plugin support for Mellea (#582))
 
         return (
             self._underlying_value
@@ -406,14 +367,14 @@ async def astream(self) -> str:
             else self._underlying_value[beginning_length:]  # type: ignore
         )
 
-    def __repr__(self) -> str:
+    def __repr__(self):
         """Provides a python-parsable representation (usually).
 
         Differs from CBlock because `._meta` can be very large for ModelOutputThunks.
         """
         return f"ModelOutputThunk({self.value})"
 
-    def __copy__(self) -> ModelOutputThunk:
+    def __copy__(self):
         """Returns a shallow copy of the ModelOutputThunk. A copied ModelOutputThunk cannot be used for generation; don't copy over fields associated with generating."""
         copied = ModelOutputThunk(
             self._underlying_value, self._meta, self.parsed_repr, self.tool_calls
@@ -433,7 +394,7 @@ def __copy__(self) -> ModelOutputThunk:
         copied._model_options = self._model_options
         return copied
 
-    def __deepcopy__(self, memo: dict) -> ModelOutputThunk:
+    def __deepcopy__(self, memo):
         """Returns a deep copy of the ModelOutputThunk. A copied ModelOutputThunk cannot be used for generation; don't copy over fields associated with generation. Similar to __copy__ but creates deepcopies of _meta, parsed_repr, and most other fields that are objects."""
         # Use __init__ to initialize all fields. Modify the fields that need to be copied/deepcopied below.
         deepcopied = ModelOutputThunk(self._underlying_value)
@@ -485,7 +446,7 @@ class Context(abc.ABC):
     _is_root: bool
     _is_chat_context: bool = True
 
-    def __init__(self) -> None:
+    def __init__(self):
         """Constructs a new root context with no content."""
         self._previous = None
         self._data = None
@@ -587,7 +548,7 @@ def last_output(self, check_last_n_components: int = 3) -> ModelOutputThunk | No
                 return c
         return None
 
-    def last_turn(self) -> ContextTurn | None:
+    def last_turn(self):
         """The last input/output turn of the context.
 
         This can be partial. If the last event is an input, then the output is None.
@@ -629,7 +590,7 @@ class AbstractMelleaTool(abc.ABC):
     """Name of the tool."""
 
     @abc.abstractmethod
-    def run(self, *args: Any, **kwargs: Any) -> Any:
+    def run(self, *args, **kwargs) -> Any:
         """Runs the tool on the given arguments."""
 
     @property
diff --git a/mellea/plugins/__init__.py b/mellea/plugins/__init__.py
new file mode 100644
index 000000000..f5433fdd8
--- /dev/null
+++ b/mellea/plugins/__init__.py
@@ -0,0 +1,29 @@
+"""Mellea Plugin System — extension points for policy enforcement, observability, and customization.
+
+Public API::
+
+    from mellea.plugins import Plugin, hook, block, modify, PluginSet, register, unregister
+"""
+
+from __future__ import annotations
+
+from .base import Plugin, PluginResult, PluginViolationError
+from .decorators import hook
+from .pluginset import PluginSet
+from .registry import block, modify, plugin_scope, register, unregister
+from .types import HookType, PluginMode
+
+__all__ = [
+    "HookType",
+    "Plugin",
+    "PluginMode",
+    "PluginResult",
+    "PluginSet",
+    "PluginViolationError",
+    "block",
+    "hook",
+    "modify",
+    "plugin_scope",
+    "register",
+    "unregister",
+]
diff --git a/mellea/plugins/context.py b/mellea/plugins/context.py
new file mode 100644
index 000000000..bed622794
--- /dev/null
+++ b/mellea/plugins/context.py
@@ -0,0 +1,36 @@
+"""Plugin context factory — maps Mellea domain objects to ContextForge GlobalContext."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+try:
+    from cpex.framework.models import GlobalContext
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+if TYPE_CHECKING:
+    from mellea.core.backend import Backend
+
+
+def build_global_context(*, backend: Backend | None = None, **extra_fields: Any) -> Any:
+    """Build a ContextForge ``GlobalContext`` from Mellea domain objects.
+
+    The global context carries lightweight, cross-cutting ambient metadata
+    (e.g. ``backend_name``) that is useful to every hook regardless of type.
+    Hook-specific data (context, session, action, etc.) belongs on the typed
+    payload, not here.
+
+    Returns ``None`` if ContextForge is not installed.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        return None
+
+    state: dict[str, Any] = {}
+    if backend is not None:
+        state["backend_name"] = getattr(backend, "model_id", "unknown")
+    state.update(extra_fields)
+
+    return GlobalContext(request_id="", state=state)
diff --git a/mellea/plugins/decorators.py b/mellea/plugins/decorators.py
new file mode 100644
index 000000000..27789c647
--- /dev/null
+++ b/mellea/plugins/decorators.py
@@ -0,0 +1,49 @@
+"""Mellea hook decorator."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from dataclasses import dataclass
+
+from mellea.plugins.types import PluginMode
+
+
+@dataclass(frozen=True)
+class HookMeta:
+    """Metadata attached by the @hook decorator."""
+
+    hook_type: str
+    mode: PluginMode = PluginMode.SEQUENTIAL
+    priority: int | None = None
+
+
+def hook(
+    hook_type: str,
+    *,
+    mode: PluginMode = PluginMode.SEQUENTIAL,
+    priority: int | None = None,
+) -> Callable:
+    """Register an async function or method as a hook handler.
+
+    Args:
+        hook_type: The hook point name (e.g., ``"generation_pre_call"``).
+        mode: Execution mode — ``PluginMode.SEQUENTIAL`` (default), ``PluginMode.CONCURRENT``,
+              ``PluginMode.AUDIT``, or ``PluginMode.FIRE_AND_FORGET``.
+        priority: Lower numbers execute first. For methods on a ``Plugin`` subclass, falls back
+                  to the class-level priority, then 50. For standalone functions, defaults to 50.
+    """
+
+    def decorator(fn: Callable) -> Callable:
+        import inspect
+
+        if not inspect.iscoroutinefunction(fn):
+            raise TypeError(
+                f"@hook-decorated function {fn.__qualname__!r} must be async "
+                f"(defined with 'async def'), got a regular function."
+            )
+        fn._mellea_hook_meta = HookMeta(  # type: ignore[attr-defined]
+            hook_type=hook_type, mode=mode, priority=priority
+        )
+        return fn
+
+    return decorator
diff --git a/mellea/plugins/hooks/__init__.py b/mellea/plugins/hooks/__init__.py
new file mode 100644
index 000000000..5c017fbb9
--- /dev/null
+++ b/mellea/plugins/hooks/__init__.py
@@ -0,0 +1,48 @@
+"""Hook payload classes for the Mellea plugin system."""
+
+from .component import (
+    ComponentPostErrorPayload,
+    ComponentPostSuccessPayload,
+    ComponentPreExecutePayload,
+)
+from .generation import GenerationPostCallPayload, GenerationPreCallPayload
+from .sampling import (
+    SamplingIterationPayload,
+    SamplingLoopEndPayload,
+    SamplingLoopStartPayload,
+    SamplingRepairPayload,
+)
+from .session import (
+    SessionCleanupPayload,
+    SessionPostInitPayload,
+    SessionPreInitPayload,
+    SessionResetPayload,
+)
+from .tool import ToolPostInvokePayload, ToolPreInvokePayload
+from .validation import ValidationPostCheckPayload, ValidationPreCheckPayload
+
+__all__ = [
+    # Component
+    "ComponentPostErrorPayload",
+    "ComponentPostSuccessPayload",
+    "ComponentPreExecutePayload",
+    # Generation
+    "GenerationPostCallPayload",
+    "GenerationPreCallPayload",
+    # Sampling
+    "SamplingIterationPayload",
+    "SamplingLoopEndPayload",
+    "SamplingLoopStartPayload",
+    "SamplingRepairPayload",
+    # Session
+    "SessionCleanupPayload",
+    "SessionPostInitPayload",
+    "SessionPreInitPayload",
+    "SessionResetPayload",
+    # Tool
+    "ToolPostInvokePayload",
+    "ToolPreInvokePayload",
+    # Validation
+    "ValidationPostCheckPayload",
+    "ValidationPreCheckPayload",
+]
diff --git a/mellea/plugins/hooks/component.py b/mellea/plugins/hooks/component.py
new file mode 100644
index 000000000..b42615c3a
--- /dev/null
+++ b/mellea/plugins/hooks/component.py
@@ -0,0 +1,82 @@
+"""Component lifecycle hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class ComponentPreExecutePayload(MelleaBasePayload):
+    """Payload for ``component_pre_execute`` — before component execution via ``aact()``.
+
+    Attributes:
+        component_type: Class name of the component being executed.
+        action: The ``Component`` or ``CBlock`` about to be executed.
+        context_view: Optional snapshot of the context as a list.
+        requirements: List of ``Requirement`` instances for validation (writable).
+        model_options: Dict of model options passed to the backend (writable).
+        format: Optional ``BaseModel`` subclass for structured output / constrained decoding (writable).
+        strategy: Optional ``SamplingStrategy`` instance controlling retry logic (writable).
+        tool_calls_enabled: Whether tool calling is enabled for this execution (writable).
+    """
+
+    component_type: str = ""
+    action: Any = None
+    context_view: list[Any] | None = None
+    requirements: list[Any] = []
+    model_options: dict[str, Any] = {}
+    format: Any = None
+    strategy: Any = None
+    tool_calls_enabled: bool = False
+
+
+class ComponentPostSuccessPayload(MelleaBasePayload):
+    """Payload for ``component_post_success`` — after successful component execution.
+
+    Attributes:
+        component_type: Class name of the executed component.
+        action: The ``Component`` or ``CBlock`` that was executed.
+
+        result: The ``ModelOutputThunk`` containing the generation result.
+        context_before: The ``Context`` before execution.
+
+        context_after: The ``Context`` after execution (with action + result appended).
+
+        generate_log: The ``GenerateLog`` from the final generation pass.
+        sampling_results: Optional list of ``ModelOutputThunk`` from all sampling attempts.
+        latency_ms: Wall-clock time for the full execution in milliseconds.
+    """
+
+    component_type: str = ""
+    action: Any = None
+    result: Any = None
+    context_before: Any = None
+    context_after: Any = None
+    generate_log: Any = None
+    sampling_results: list[Any] | None = None
+    latency_ms: int = 0
+
+
+class ComponentPostErrorPayload(MelleaBasePayload):
+    """Payload for ``component_post_error`` — after component execution fails.
+
+    Attributes:
+        component_type: Class name of the component that failed.
+        action: The ``Component`` or ``CBlock`` that was being executed.
+
+        error: The ``Exception`` that was raised.
+        error_type: Class name of the exception (e.g. ``"ValueError"``).
+        stack_trace: Formatted traceback string.
+        context: The ``Context`` at the time of the error.
+
+        model_options: Dict of model options that were in effect.
+    """
+
+    component_type: str = ""
+    action: Any = None
+    error: Any = None
+    error_type: str = ""
+    stack_trace: str = ""
+    context: Any = None
+    model_options: dict[str, Any] = {}
diff --git a/mellea/plugins/hooks/generation.py b/mellea/plugins/hooks/generation.py
new file mode 100644
index 000000000..2b83c8c1f
--- /dev/null
+++ b/mellea/plugins/hooks/generation.py
@@ -0,0 +1,48 @@
+"""Generation pipeline hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class GenerationPreCallPayload(MelleaBasePayload):
+    """Payload for ``generation_pre_call`` — before LLM backend call.
+
+    Attributes:
+        action: The ``Component`` or ``CBlock`` about to be sent to the backend.
+
+        context: The ``Context`` being used for this generation call.
+
+        model_options: Dict of model options (writable — plugins may adjust temperature, etc.).
+        format: Optional ``BaseModel`` subclass for constrained decoding (writable).
+        tool_calls: Whether tool calls are enabled for this generation (writable).
+    """
+
+    action: Any = None
+    context: Any = None
+    model_options: dict[str, Any] = {}
+    format: Any = None
+    tool_calls: bool = False
+
+
+class GenerationPostCallPayload(MelleaBasePayload):
+    """Payload for ``generation_post_call`` — fires once the model output is fully computed.
+
+    For lazy ``ModelOutputThunk`` objects this hook fires inside
+    ``ModelOutputThunk.astream`` after ``post_process`` completes, so
+    ``model_output.value`` is guaranteed to be available. For already-computed
+    thunks (e.g. cached responses) it fires before ``generate_from_context``
+    returns.
+
+    Attributes:
+        prompt: The formatted prompt sent to the backend (str or list of message dicts).
+        model_output: The fully-computed ``ModelOutputThunk``.
+        latency_ms: Elapsed milliseconds from the ``generate_from_context`` call
+            to when the value was fully materialized.
+    """
+
+    prompt: str | list[dict[str, Any]] = ""
+    model_output: Any = None
+    latency_ms: float = 0.0
diff --git a/mellea/plugins/hooks/sampling.py b/mellea/plugins/hooks/sampling.py
new file mode 100644
index 000000000..4e0bceefe
--- /dev/null
+++ b/mellea/plugins/hooks/sampling.py
@@ -0,0 +1,101 @@
+"""Sampling pipeline hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class SamplingLoopStartPayload(MelleaBasePayload):
+    """Payload for ``sampling_loop_start`` — when sampling strategy begins.
+
+    Attributes:
+        strategy_name: Class name of the sampling strategy (e.g. ``"RejectionSamplingStrategy"``).
+        action: The ``Component`` being sampled.
+
+        context: The ``Context`` at the start of sampling.
+
+        requirements: List of ``Requirement`` instances to validate against.
+        loop_budget: Maximum number of sampling iterations allowed (writable).
+    """
+
+    strategy_name: str = ""
+    action: Any = None
+    context: Any = None
+    requirements: list[Any] = []
+    loop_budget: int = 0
+
+
+class SamplingIterationPayload(MelleaBasePayload):
+    """Payload for ``sampling_iteration`` — after each sampling attempt.
+
+    Attributes:
+        iteration: 1-based iteration number within the sampling loop.
+        action: The ``Component`` used for this attempt.
+
+        result: The ``ModelOutputThunk`` produced by this attempt.
+        validation_results: List of ``(Requirement, ValidationResult)`` tuples.
+        all_validations_passed: ``True`` when **every** requirement in ``validation_results``
+            passed for this iteration (i.e., the sampling attempt succeeded).
+        valid_count: Number of requirements that passed.
+        total_count: Total number of requirements evaluated.
+    """
+
+    iteration: int = 0
+    action: Any = None
+    result: Any = None
+    validation_results: list[tuple[Any, Any]] = []
+    all_validations_passed: bool = False
+    valid_count: int = 0
+    total_count: int = 0
+
+
+class SamplingRepairPayload(MelleaBasePayload):
+    """Payload for ``sampling_repair`` — when repair is invoked after validation failure.
+
+    Attributes:
+        repair_type: Kind of repair (strategy-dependent, e.g. ``"rejection"``, ``"template"``).
+        failed_action: The ``Component`` that failed validation.
+
+        failed_result: The ``ModelOutputThunk`` that failed validation.
+        failed_validations: List of ``(Requirement, ValidationResult)`` tuples that failed.
+        repair_action: The repaired ``Component`` to use for the next attempt.
+        repair_context: The ``Context`` to use for the next attempt.
+        repair_iteration: 1-based iteration at which the repair was triggered.
+    """
+
+    repair_type: str = ""
+    failed_action: Any = None
+    failed_result: Any = None
+    failed_validations: list[tuple[Any, Any]] = []
+    repair_action: Any = None
+    repair_context: Any = None
+    repair_iteration: int = 0
+
+
+class SamplingLoopEndPayload(MelleaBasePayload):
+    """Payload for ``sampling_loop_end`` — when sampling completes.
+
+    Attributes:
+        success: ``True`` if at least one attempt passed all requirements.
+        iterations_used: Total number of iterations the loop executed.
+        final_result: The selected ``ModelOutputThunk`` (best success or best failure).
+        final_action: The ``Component`` that produced ``final_result``.
+
+        final_context: The ``Context`` associated with ``final_result``.
+
+        failure_reason: Human-readable reason when ``success`` is ``False``.
+        all_results: List of ``ModelOutputThunk`` from every iteration.
+        all_validations: Nested list — ``all_validations[i]`` is the list of
+            ``(Requirement, ValidationResult)`` tuples for iteration *i*.
+    """
+
+    success: bool = False
+    iterations_used: int = 0
+    final_result: Any = None
+    final_action: Any = None
+    final_context: Any = None
+    failure_reason: str | None = None
+    all_results: list[Any] = []
+    all_validations: list[list[tuple[Any, Any]]] = []
diff --git a/mellea/plugins/hooks/session.py b/mellea/plugins/hooks/session.py
new file mode 100644
index 000000000..321f154ee
--- /dev/null
+++ b/mellea/plugins/hooks/session.py
@@ -0,0 +1,64 @@
+"""Session lifecycle hook payloads."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+if TYPE_CHECKING:
+    pass
+
+
+class SessionPreInitPayload(MelleaBasePayload):
+    """Payload for ``session_pre_init`` — before backend initialization.
+
+    Attributes:
+        backend_name: Name of the backend (e.g. ``"ollama"``, ``"openai"``).
+        model_id: Model identifier string (writable).
+        model_options: Optional dict of model options like temperature, max_tokens (writable).
+        context_type: Class name of the context being used (e.g. ``"SimpleContext"``).
+    """
+
+    backend_name: str
+    model_id: str
+    model_options: dict[str, Any] | None = None
+    context_type: str = "SimpleContext"
+
+
+class SessionPostInitPayload(MelleaBasePayload):
+    """Payload for ``session_post_init`` — after session is fully initialized.
+
+    Attributes:
+        session_id: UUID string identifying this session.
+        model_id: Model identifier used by the backend (e.g. ``"granite4:micro"``).
+        context: The initial ``Context`` instance for this session.
+    """
+
+    session_id: str = ""
+    model_id: str = ""
+    context: Any = None
+
+
+class SessionResetPayload(MelleaBasePayload):
+    """Payload for ``session_reset`` — when session context is reset.
+
+    Attributes:
+        previous_context: The ``Context`` that is about to be discarded (observe-only).
+
+    """
+
+    previous_context: Any = None
+
+
+class SessionCleanupPayload(MelleaBasePayload):
+    """Payload for ``session_cleanup`` — before session cleanup/teardown.
+
+    Attributes:
+        context: The ``Context`` at the time of cleanup (observe-only).
+
+        interaction_count: Number of items in the context at cleanup time.
+    """
+
+    context: Any = None
+    interaction_count: int = 0
diff --git a/mellea/plugins/hooks/tool.py b/mellea/plugins/hooks/tool.py
new file mode 100644
index 000000000..bc92d430e
--- /dev/null
+++ b/mellea/plugins/hooks/tool.py
@@ -0,0 +1,39 @@
+"""Tool execution hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class ToolPreInvokePayload(MelleaBasePayload):
+    """Payload for ``tool_pre_invoke`` — before tool/function invocation.
+
+    Attributes:
+        model_tool_call: The ``ModelToolCall`` about to be executed (writable —
+            plugins may modify arguments or swap the tool entirely).
+    """
+
+    model_tool_call: Any = None
+
+
+class ToolPostInvokePayload(MelleaBasePayload):
+    """Payload for ``tool_post_invoke`` — after tool execution.
+
+    Attributes:
+        model_tool_call: The ``ModelToolCall`` that was executed.
+        tool_output: The return value of the tool function (writable —
+            plugins may transform the output before it is formatted).
+        tool_message: The ``ToolMessage`` constructed from the output.
+        execution_time_ms: Wall-clock time of the tool execution in milliseconds.
+        success: ``True`` if the tool executed without raising an exception.
+        error: The ``Exception`` raised during execution, or ``None`` on success.
+    """
+
+    model_tool_call: Any = None
+    tool_output: Any = None
+    tool_message: Any = None
+    execution_time_ms: int = 0
+    success: bool = True
+    error: Any = None
diff --git a/mellea/plugins/hooks/validation.py b/mellea/plugins/hooks/validation.py
new file mode 100644
index 000000000..4c7f22845
--- /dev/null
+++ b/mellea/plugins/hooks/validation.py
@@ -0,0 +1,43 @@
+"""Validation hook payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from mellea.plugins.base import MelleaBasePayload
+
+
+class ValidationPreCheckPayload(MelleaBasePayload):
+    """Payload for ``validation_pre_check`` — before requirement validation.
+
+    Attributes:
+        requirements: List of ``Requirement`` instances to validate (writable).
+        target: The ``CBlock`` being validated, or ``None`` when validating the full context.
+
+        context: The ``Context`` used for validation.
+
+        model_options: Dict of model options for backend-based validators (writable).
+    """
+
+    requirements: list[Any] = []
+    target: Any = None
+    context: Any = None
+    model_options: dict[str, Any] = {}
+
+
+class ValidationPostCheckPayload(MelleaBasePayload):
+    """Payload for ``validation_post_check`` — after validation completes.
+
+    Attributes:
+        requirements: List of ``Requirement`` instances that were evaluated.
+        results: List of ``ValidationResult`` instances (writable).
+        all_validations_passed: ``True`` when every requirement passed (writable).
+        passed_count: Number of requirements that passed.
+        failed_count: Number of requirements that failed.
+    """
+
+    requirements: list[Any] = []
+    results: list[Any] = []
+    all_validations_passed: bool = False
+    passed_count: int = 0
+    failed_count: int = 0
diff --git a/mellea/plugins/pluginset.py b/mellea/plugins/pluginset.py
new file mode 100644
index 000000000..d485ee65a
--- /dev/null
+++ b/mellea/plugins/pluginset.py
@@ -0,0 +1,93 @@
+"""PluginSet — composable groups of hooks and plugins."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from typing import Any
+
+
+class PluginSet:
+    """A named, composable group of hook functions and plugin instances.
+
+    PluginSets are inert containers — they do not register anything themselves.
+    Registration happens when they are passed to ``register()`` or
+    ``start_session(plugins=[...])``.
+
+    PluginSets can be nested: a PluginSet can contain other PluginSets.
+
+    PluginSets also support the context manager protocol for temporary activation::
+
+        with PluginSet("observability", [log_hook, audit_hook]):
+            result, ctx = instruct("Summarize this", ctx, backend)
+
+        # or async
+        async with PluginSet("guards", [safety_hook]):
+            result, ctx = await ainstruct("Generate code", ctx, backend)
+    """
+
+    def __init__(  # noqa: D107
+        self,
+        name: str,
+        items: list[Callable | Any | PluginSet],
+        *,
+        priority: int | None = None,
+    ):
+        self.name = name
+        self.items = items
+        self.priority = priority
+        self._scope_id: str | None = None
+
+    def flatten(self) -> list[tuple[Callable | Any, int | None]]:
+        """Recursively flatten nested PluginSets into ``(item, priority_override)`` pairs.
+
+        When this set has a priority, it overrides the priorities of all nested
+        items — including items inside nested ``PluginSet`` instances.
+        """
+        result: list[tuple[Callable | Any, int | None]] = []
+        for item in self.items:
+            if isinstance(item, PluginSet):
+                for sub_item, sub_prio in item.flatten():
+                    result.append(
+                        (
+                            sub_item,
+                            self.priority if self.priority is not None else sub_prio,
+                        )
+                    )
+            else:
+                result.append((item, self.priority))
+        return result
+
+    def __enter__(self) -> PluginSet:
+        """Register all plugins in this set for the duration of the ``with`` block."""
+        if self._scope_id is not None:
+            raise RuntimeError(
+                f"PluginSet {self.name!r} is already active as a context manager. "
+                "Concurrent or nested reuse of the same instance is not supported; "
+                "create a new PluginSet instance instead."
+            )
+        import uuid
+
+        from mellea.plugins.registry import register
+
+        self._scope_id = str(uuid.uuid4())
+        register(self, session_id=self._scope_id)
+        return self
+
+    def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        """Deregister all plugins registered by this context manager entry."""
+        if self._scope_id is not None:
+            from mellea.plugins.manager import deregister_session_plugins
+
+            deregister_session_plugins(self._scope_id)
+            self._scope_id = None
+
+    async def __aenter__(self) -> PluginSet:
+        """Async variant — delegates to the synchronous ``__enter__``."""
+        return self.__enter__()
+
+    async def __aexit__(self, exc_type: Any, exc_val: Any, exc_tb: Any) -> None:
+        """Async variant — delegates to the synchronous ``__exit__``."""
+        self.__exit__(exc_type, exc_val, exc_tb)
+
+    def __repr__(self) -> str:  # noqa: D105
+        return f"PluginSet({self.name!r}, {len(self.items)} items)"
diff --git a/mellea/plugins/types.py b/mellea/plugins/types.py
new file mode 100644
index 000000000..107c0a97d
--- /dev/null
+++ b/mellea/plugins/types.py
@@ -0,0 +1,151 @@
+"""Mellea hook type enum and hook registration."""
+
+from __future__ import annotations
+
+from enum import Enum
+from typing import Any
+
+try:
+    from cpex.framework.hooks.registry import get_hook_registry
+    from cpex.framework.models import PluginResult
+
+    _HAS_PLUGIN_FRAMEWORK = True
+except ImportError:
+    _HAS_PLUGIN_FRAMEWORK = False
+
+
+class PluginMode(str, Enum):
+    """Execution modes for Mellea plugins.
+
+    Execution order: SEQUENTIAL → TRANSFORM → AUDIT → CONCURRENT → FIRE_AND_FORGET
+    """
+
+    SEQUENTIAL = "sequential"
+    TRANSFORM = "transform"
+    CONCURRENT = "concurrent"
+    AUDIT = "audit"
+    FIRE_AND_FORGET = "fire_and_forget"
+
+
+class HookType(str, Enum):
+    """All Mellea hook types."""
+
+    # Session Lifecycle
+    SESSION_PRE_INIT = "session_pre_init"
+    SESSION_POST_INIT = "session_post_init"
+    SESSION_RESET = "session_reset"
+    SESSION_CLEANUP = "session_cleanup"
+
+    # Component Lifecycle
+    COMPONENT_PRE_EXECUTE = "component_pre_execute"
+    COMPONENT_POST_SUCCESS = "component_post_success"
+    COMPONENT_POST_ERROR = "component_post_error"
+
+    # Generation Pipeline
+    GENERATION_PRE_CALL = "generation_pre_call"
+    GENERATION_POST_CALL = "generation_post_call"
+
+    # Validation
+    VALIDATION_PRE_CHECK = "validation_pre_check"
+    VALIDATION_POST_CHECK = "validation_post_check"
+
+    # Sampling Pipeline
+    SAMPLING_LOOP_START = "sampling_loop_start"
+    SAMPLING_ITERATION = "sampling_iteration"
+    SAMPLING_REPAIR = "sampling_repair"
+    SAMPLING_LOOP_END = "sampling_loop_end"
+
+    # Tool Execution
+    TOOL_PRE_INVOKE = "tool_pre_invoke"
+    TOOL_POST_INVOKE = "tool_post_invoke"
+
+
+# Lazily populated mapping: hook_type -> (payload_class, result_class).
+# Populated by _build_hook_registry() on first call to _register_mellea_hooks().
+_HOOK_REGISTRY: dict[str, tuple[type, type]] = {}
+
+
+def _build_hook_registry() -> dict[str, tuple[type, type]]:
+    """Build the mapping from hook types to (payload_class, PluginResult).
+
+    Imports payload classes lazily to avoid circular imports.
+    """
+    from mellea.plugins.hooks.component import (
+        ComponentPostErrorPayload,
+        ComponentPostSuccessPayload,
+        ComponentPreExecutePayload,
+    )
+    from mellea.plugins.hooks.generation import (
+        GenerationPostCallPayload,
+        GenerationPreCallPayload,
+    )
+    from mellea.plugins.hooks.sampling import (
+        SamplingIterationPayload,
+        SamplingLoopEndPayload,
+        SamplingLoopStartPayload,
+        SamplingRepairPayload,
+    )
+    from mellea.plugins.hooks.session import (
+        SessionCleanupPayload,
+        SessionPostInitPayload,
+        SessionPreInitPayload,
+        SessionResetPayload,
+    )
+    from mellea.plugins.hooks.tool import ToolPostInvokePayload, ToolPreInvokePayload
+    from mellea.plugins.hooks.validation import (
+        ValidationPostCheckPayload,
+        ValidationPreCheckPayload,
+    )
+
+    return {
+        # Session Lifecycle
+        HookType.SESSION_PRE_INIT.value: (SessionPreInitPayload, PluginResult),
+        HookType.SESSION_POST_INIT.value: (SessionPostInitPayload, PluginResult),
+        HookType.SESSION_RESET.value: (SessionResetPayload, PluginResult),
+        HookType.SESSION_CLEANUP.value: (SessionCleanupPayload, PluginResult),
+        # Component Lifecycle
+        HookType.COMPONENT_PRE_EXECUTE.value: (
+            ComponentPreExecutePayload,
+            PluginResult,
+        ),
+        HookType.COMPONENT_POST_SUCCESS.value: (
+            ComponentPostSuccessPayload,
+            PluginResult,
+        ),
+        HookType.COMPONENT_POST_ERROR.value: (ComponentPostErrorPayload, PluginResult),
+        # Generation Pipeline
+        HookType.GENERATION_PRE_CALL.value: (GenerationPreCallPayload, PluginResult),
+        HookType.GENERATION_POST_CALL.value: (GenerationPostCallPayload, PluginResult),
+        # Validation
+        HookType.VALIDATION_PRE_CHECK.value: (ValidationPreCheckPayload, PluginResult),
+        HookType.VALIDATION_POST_CHECK.value: (
+            ValidationPostCheckPayload,
+            PluginResult,
+        ),
+        # Sampling Pipeline
+        HookType.SAMPLING_LOOP_START.value: (SamplingLoopStartPayload, PluginResult),
+        HookType.SAMPLING_ITERATION.value: (SamplingIterationPayload, PluginResult),
+        HookType.SAMPLING_REPAIR.value: (SamplingRepairPayload, PluginResult),
+        HookType.SAMPLING_LOOP_END.value: (SamplingLoopEndPayload, PluginResult),
+        # Tool Execution
+        HookType.TOOL_PRE_INVOKE.value: (ToolPreInvokePayload, PluginResult),
+        HookType.TOOL_POST_INVOKE.value: (ToolPostInvokePayload, PluginResult),
+    }
+
+
+def register_mellea_hooks() -> None:
+    """Register all Mellea hook types with the ContextForge HookRegistry.
+
+    Idempotent — skips already-registered hook types.
+    """
+    if not _HAS_PLUGIN_FRAMEWORK:
+        return
+
+    global _HOOK_REGISTRY
+    if not _HOOK_REGISTRY:
+        _HOOK_REGISTRY = _build_hook_registry()
+
+    registry: Any = get_hook_registry()
+    for hook_type, (payload_cls, result_cls) in _HOOK_REGISTRY.items():
+        if not registry.is_registered(hook_type):
+            registry.register_hook(hook_type, payload_cls, result_cls)
diff --git a/test/conftest.py b/test/conftest.py
index 5c794ef18..617d21dc2 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -161,12 +161,6 @@ def add_option_safe(option_name, **kwargs):
         default=False,
         help="Register all acceptance plugin sets for every test",
     )
-    add_option_safe(
-        "--isolate-heavy",
-        action="store_true",
-        default=False,
-        help="Run heavy GPU tests in isolated subprocesses (slower, but guarantees CUDA memory release)",
-    )
 
 
 def pytest_configure(config):
@@ -607,14 +601,9 @@ async def register_acceptance_sets(request):
         # If plugins are enabled, we don't need to re-enable them for this specific test.
         return
 
-    from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
-
-    if not _HAS_PLUGIN_FRAMEWORK:
-        yield
-        return
-
     from mellea.plugins import register
     from mellea.plugins.manager import shutdown_plugins
+
     from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
 
     for ps in ALL_ACCEPTANCE_SETS:
@@ -633,14 +622,9 @@ async def auto_register_acceptance_sets(request):
         yield
         return
 
-    from mellea.plugins.registry import _HAS_PLUGIN_FRAMEWORK
-
-    if not _HAS_PLUGIN_FRAMEWORK:
-        yield
-        return
-
     from mellea.plugins import register
     from mellea.plugins.manager import shutdown_plugins
+
     from test.plugins._acceptance_sets import ALL_ACCEPTANCE_SETS
 
     for ps in ALL_ACCEPTANCE_SETS:
diff --git a/test/decompose/test_decompose.py b/test/decompose/test_decompose.py
index d2bac8446..de21d9d31 100644
--- a/test/decompose/test_decompose.py
+++ b/test/decompose/test_decompose.py
@@ -23,27 +23,27 @@ def test_no_dependencies(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -63,27 +63,27 @@ def test_simple_linear_dependency(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -103,6 +103,7 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -111,27 +112,27 @@ def test_diamond_dependency(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -151,18 +152,18 @@ def test_case_insensitive_dependencies(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "task_b",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],  # Uppercase reference
             },
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -181,18 +182,18 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -200,6 +201,7 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task D",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -208,9 +210,9 @@ def test_multiple_independent_chains(self) -> None:
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -233,9 +235,9 @@ def test_nonexistent_dependency_ignored(self) -> None:
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [
                     "TASK_A",
@@ -245,9 +247,9 @@ def test_nonexistent_dependency_ignored(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -266,27 +268,27 @@ def test_renumbers_subtask_descriptions(self) -> None:
             {
                 "subtask": "3. Do task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
             {
                 "subtask": "2. Do task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "1. Do task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -306,18 +308,18 @@ def test_renumbers_only_numbered_subtasks(self) -> None:
             {
                 "subtask": "2. Numbered task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "Unnumbered task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -336,6 +338,7 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "4. Final task",
                 "tag": "TASK_D",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do D",
                 "input_vars_required": [],
@@ -344,27 +347,27 @@ def test_renumbers_with_complex_reordering(self) -> None:
             {
                 "subtask": "3. Third task",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "2. Second task",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "1. First task",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": [],
             },
@@ -390,18 +393,18 @@ def test_circular_dependency_two_nodes(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
@@ -416,27 +419,27 @@ def test_circular_dependency_three_nodes(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_C"],
             },
             {
                 "subtask": "Task B",
                 "tag": "TASK_B",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do B",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             },
             {
                 "subtask": "Task C",
                 "tag": "TASK_C",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do C",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_B"],
             },
@@ -451,9 +454,9 @@ def test_self_dependency(self) -> None:
             {
                 "subtask": "Task A",
                 "tag": "TASK_A",
+                "general_instructions": "",
                 "constraints": [],
                 "prompt_template": "Do A",
-                "general_instructions": "",
                 "input_vars_required": [],
                 "depends_on": ["TASK_A"],
             }
@@ -489,6 +492,7 @@ def test_no_input_vars_no_dependencies(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -512,6 +516,7 @@ def test_valid_input_vars(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A with {{ USER_INPUT }}",
                     "input_vars_required": ["USER_INPUT"],
@@ -534,6 +539,7 @@ def test_case_insensitive_input_vars(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["user_input"],  # lowercase
@@ -557,6 +563,7 @@ def test_valid_dependencies_in_order(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -565,6 +572,7 @@ def test_valid_dependencies_in_order(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -589,6 +597,7 @@ def test_dependencies_out_of_order_triggers_reorder(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -597,6 +606,7 @@ def test_dependencies_out_of_order_triggers_reorder(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -621,6 +631,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task D",
                     "tag": "TASK_D",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do D",
                     "input_vars_required": [],
@@ -629,6 +640,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task C",
                     "tag": "TASK_C",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do C",
                     "input_vars_required": [],
@@ -637,6 +649,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -645,6 +658,7 @@ def test_complex_reordering(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -673,6 +687,7 @@ def test_missing_required_input_var(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["MISSING_VAR"],
@@ -697,6 +712,7 @@ def test_missing_required_input_var_with_some_provided(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["VAR1", "VAR2"],
@@ -721,6 +737,7 @@ def test_dependency_on_nonexistent_subtask(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -745,6 +762,7 @@ def test_circular_dependency_detected(self) -> None:
                 {
                     "subtask": "Task B",
                     "tag": "TASK_B",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do B",
                     "input_vars_required": [],
@@ -753,6 +771,7 @@ def test_circular_dependency_detected(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": [],
@@ -774,6 +793,7 @@ def test_empty_input_var_list_treated_as_none(self) -> None:
                 {
                     "subtask": "Task A",
                     "tag": "TASK_A",
+                    "general_instructions": "",
                     "constraints": [],
                     "prompt_template": "Do A",
                     "input_vars_required": ["REQUIRED_VAR"],
diff --git a/uv.lock b/uv.lock
index 6330ba332..1625dbecf 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,34 +1,25 @@
 version = 1
-revision = 2
+revision = 3
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-    "python_full_version >= '4' and sys_platform == 'darwin'",
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-    "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version == '3.12.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.12.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "python_full_version < '3.12' and sys_platform == 'darwin'",
-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(python_full_version < '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
+    "python_full_version == '3.12.*'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
 name = "absl-py"
-version = "2.3.1"
+version = "2.4.0"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
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+    { url = "https://files.pythonhosted.org/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d", size = 135750, upload-time = "2026-01-28T10:17:04.19Z" },
 ]
 
 [[package]]
 name = "accelerate"
-version = "1.11.0"
+version = "1.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
@@ -39,9 +30,9 @@ dependencies = [
     { name = "safetensors" },
     { name = "torch" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/23/60/2757c4f03a8705dbf80b1268b03881927878dca5ed07d74f733fb6c219e0/accelerate-1.11.0.tar.gz", hash = "sha256:bb1caf2597b4cd632b917b5000c591d10730bb024a79746f1ee205bba80bd229", size = 393715, upload-time = "2025-10-20T14:42:25.025Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ca/14/787e5498cd062640f0f3d92ef4ae4063174f76f9afd29d13fc52a319daae/accelerate-1.13.0.tar.gz", hash = "sha256:d631b4e0f5b3de4aff2d7e9e6857d164810dfc3237d54d017f075122d057b236", size = 402835, upload-time = "2026-03-04T19:34:12.359Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/7e/46/02ac5e262d4af18054b3e922b2baedbb2a03289ee792162de60a865defc5/accelerate-1.13.0-py3-none-any.whl", hash = "sha256:cf1a3efb96c18f7b152eb0fa7490f3710b19c3f395699358f08decca2b8b62e0", size = 383744, upload-time = "2026-03-04T19:34:10.313Z" },
 ]
 
 [[package]]
@@ -197,50 +188,27 @@ wheels = [
 
 [[package]]
 name = "anthropic"
-version = "0.79.0"
+version = "0.84.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "anyio", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "distro", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "docstring-parser", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "httpx", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "jiter", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "pydantic", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "sniffio", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
-    { name = "typing-extensions", marker = "(python_full_version >= '3.14' and python_full_version < '4') or sys_platform != 'darwin'" },
+    { name = "anyio" },
+    { name = "distro" },
+    { name = "docstring-parser" },
+    { name = "httpx" },
+    { name = "jiter" },
+    { name = "pydantic" },
+    { name = "sniffio" },
+    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/15/b1/91aea3f8fd180d01d133d931a167a78a3737b3fd39ccef2ae8d6619c24fd/anthropic-0.79.0.tar.gz", hash = "sha256:8707aafb3b1176ed6c13e2b1c9fb3efddce90d17aee5d8b83a86c70dcdcca871", size = 509825, upload-time = "2026-02-07T18:06:18.388Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/04/ea/0869d6df9ef83dcf393aeefc12dd81677d091c6ffc86f783e51cf44062f2/anthropic-0.84.0.tar.gz", hash = "sha256:72f5f90e5aebe62dca316cb013629cfa24996b0f5a4593b8c3d712bc03c43c37", size = 539457, upload-time = "2026-02-25T05:22:38.54Z" }
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+    { url = "https://files.pythonhosted.org/packages/64/ca/218fa25002a332c0aa149ba18ffc0543175998b1f65de63f6d106689a345/anthropic-0.84.0-py3-none-any.whl", hash = "sha256:861c4c50f91ca45f942e091d83b60530ad6d4f98733bfe648065364da05d29e7", size = 455156, upload-time = "2026-02-25T05:22:40.468Z" },
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-[[package]]
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-version = "4.9.3"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
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-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
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-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'",
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-
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.13.2"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
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-]
 sdist = { url = "https://files.pythonhosted.org/packages/33/5f/2cdf6f7aca3b20d3f316e9f505292e1f256a32089bd702034c29ebde6242/antlr4_python3_runtime-4.13.2.tar.gz", hash = "sha256:909b647e1d2fc2b70180ac586df3933e38919c85f98ccc656a96cd3f25ef3916", size = 117467, upload-time = "2024-08-03T19:00:12.757Z" }
 wheels = [
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@@ -248,16 +216,15 @@ wheels = [
 
 [[package]]
 name = "anyio"
-version = "4.11.0"
+version = "4.12.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "idna" },
-    { name = "sniffio" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
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 [[package]]
@@ -274,28 +241,28 @@ wheels = [
 
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+    { name = "typing-extensions" },
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 ]
 
 [[package]]

From 3dc6dad4d64b963b34760f837b77e51a7cacf3f7 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 16:21:53 +0000
Subject: [PATCH 30/38] upd: pre-commit format

---
 .../prompt_modules/validation_report_generator/__init__.py    | 4 +++-
 .../prompt_modules/validation_report_generator/_exceptions.py | 4 +++-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/cli/decompose/prompt_modules/validation_report_generator/__init__.py b/cli/decompose/prompt_modules/validation_report_generator/__init__.py
index ff698c3ed..cdd3dee4c 100644
--- a/cli/decompose/prompt_modules/validation_report_generator/__init__.py
+++ b/cli/decompose/prompt_modules/validation_report_generator/__init__.py
@@ -2,4 +2,6 @@
     BackendGenerationError as BackendGenerationError,
     TagExtractionError as TagExtractionError,
 )
-from ._validation_report_generator import validation_report_generator as validation_report_generator
\ No newline at end of file
+from ._validation_report_generator import (
+    validation_report_generator as validation_report_generator,
+)
diff --git a/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py b/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
index 1f7949be2..4ab2b030c 100644
--- a/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
+++ b/cli/decompose/prompt_modules/validation_report_generator/_exceptions.py
@@ -5,7 +5,9 @@ class ValidationReportError(Exception):
     def __init__(self, error_message: str, **kwargs: dict[str, Any]):
         self.error_message = error_message
         self.__dict__.update(kwargs)
-        super().__init__(f'Module Error "validation_report_generator"; {self.error_message}')
+        super().__init__(
+            f'Module Error "validation_report_generator"; {self.error_message}'
+        )
 
 
 class BackendGenerationError(ValidationReportError):

From b66431349869fea3d592cfdc5b8ef7c206fffab4 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 17:11:49 +0000
Subject: [PATCH 31/38] refact: refactor the pipline with clear stages

---
 cli/decompose/decompose.py | 192 +++++++++-------------
 cli/decompose/logging.py   |  33 ++++
 cli/decompose/pipeline.py  | 328 +++++++++++++++++++++++++++++--------
 3 files changed, 372 insertions(+), 181 deletions(-)
 create mode 100644 cli/decompose/logging.py

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index ef671eadb..57da6b3fa 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -1,3 +1,4 @@
+# decompose/decompose.py
 import json
 import keyword
 import re
@@ -9,11 +10,10 @@
 
 import typer
 
+from .logging import LogMode, get_logger, log_section
 from .pipeline import DecompBackend, DecompPipelineResult, DecompSubtasksResult
 
 
-# Must maintain declaration order
-# Newer versions must be declared on the bottom
 class DecompVersion(StrEnum):
     latest = "latest"
     v1 = "v1"
@@ -27,93 +27,45 @@ class DecompVersion(StrEnum):
 def reorder_subtasks(
     subtasks: list[DecompSubtasksResult],
 ) -> list[DecompSubtasksResult]:
-    """Reorder subtasks based on their dependencies using topological sort.
-
-    Uses Python's graphlib.TopologicalSorter to perform a topological sort of
-    subtasks based on their depends_on relationships. Also renumbers the subtask
-    descriptions if they start with a number pattern (e.g., "1. ", "2. ").
-
-    Args:
-        subtasks: List of subtask dictionaries with 'tag' and 'depends_on' fields
-
-    Returns:
-        Reordered list of subtasks where all dependencies appear before dependents,
-        with subtask descriptions renumbered to match the new order
-
-    Raises:
-        ValueError: If a circular dependency is detected
-    """
-    # Build dependency graph
     subtask_map = {subtask["tag"].lower(): subtask for subtask in subtasks}
 
-    # Build graph for TopologicalSorter
-    # Format: {node: {dependencies}}
     graph = {}
     for tag, subtask in subtask_map.items():
         deps = subtask.get("depends_on", [])
-        # Filter to only include dependencies that exist in subtask_map
         valid_deps = {dep.lower() for dep in deps if dep.lower() in subtask_map}
         graph[tag] = valid_deps
 
-    # Perform topological sort
     try:
         ts = TopologicalSorter(graph)
         sorted_tags = list(ts.static_order())
     except ValueError as e:
-        # TopologicalSorter raises ValueError for circular dependencies
         raise ValueError(
             "Circular dependency detected in subtasks. Cannot automatically reorder."
         ) from e
 
-    # Get reordered subtasks
     reordered = [subtask_map[tag] for tag in sorted_tags]
 
-    # Renumber subtask descriptions if they start with "N. " pattern
     number_pattern = re.compile(r"^\d+\.\s+")
     for i, subtask in enumerate(reordered, start=1):
         if number_pattern.match(subtask["subtask"]):
-            # Replace the number at the start with the new position
             subtask["subtask"] = number_pattern.sub(f"{i}. ", subtask["subtask"])
 
     return reordered
 
 
 def verify_user_variables(
-    decomp_data: DecompPipelineResult, input_var: list[str] | None
+    decomp_data: DecompPipelineResult,
+    input_var: list[str] | None,
 ) -> DecompPipelineResult:
-    """Verify and fix user variable ordering in subtasks.
-
-    Validates that:
-    1. All input_vars_required exist in the provided input_var list
-    2. All depends_on variables reference existing subtasks
-    3. Subtasks are ordered so dependencies appear before dependents
-
-    If dependencies are out of order, automatically reorders them using topological sort.
-
-    Args:
-        decomp_data: The decomposition pipeline result containing subtasks
-        input_var: List of user-provided input variable names
-
-    Returns:
-        The decomp_data with potentially reordered subtasks
-
-    Raises:
-        ValueError: If a required input variable is missing or dependencies are invalid
-    """
     if input_var is None:
         input_var = []
 
-    # Normalize input variables to lowercase for comparison
     available_input_vars = {var.lower() for var in input_var}
-
-    # Build set of all subtask tags
     all_subtask_tags = {subtask["tag"].lower() for subtask in decomp_data["subtasks"]}
 
-    # Validate that all required variables exist
     for subtask in decomp_data["subtasks"]:
         subtask_tag = subtask["tag"].lower()
 
-        # Check input_vars_required exist in provided input variables
         for required_var in subtask.get("input_vars_required", []):
             var_lower = required_var.lower()
             if var_lower not in available_input_vars:
@@ -123,7 +75,6 @@ def verify_user_variables(
                     f"Available input variables: {sorted(available_input_vars) if available_input_vars else 'none'}"
                 )
 
-        # Check that all dependencies exist somewhere in the subtasks
         for dep_var in subtask.get("depends_on", []):
             dep_lower = dep_var.lower()
             if dep_lower not in all_subtask_tags:
@@ -133,14 +84,12 @@ def verify_user_variables(
                     f"Available subtask tags: {sorted(all_subtask_tags)}"
                 )
 
-    # Check if reordering is needed
     needs_reordering = False
     defined_subtask_tags = set()
 
     for subtask in decomp_data["subtasks"]:
         subtask_tag = subtask["tag"].lower()
 
-        # Check if any dependency hasn't been defined yet
         for dep_var in subtask.get("depends_on", []):
             dep_lower = dep_var.lower()
             if dep_lower not in defined_subtask_tags:
@@ -152,7 +101,6 @@ def verify_user_variables(
 
         defined_subtask_tags.add(subtask_tag)
 
-    # Reorder if needed
     if needs_reordering:
         decomp_data["subtasks"] = reorder_subtasks(decomp_data["subtasks"])
 
@@ -165,7 +113,8 @@ def run(
         typer.Option(help="Path to an existing directory to save the output files."),
     ],
     out_name: Annotated[
-        str, typer.Option(help='Name for the output files. Defaults to "m_result".')
+        str,
+        typer.Option(help='Name for the output files. Defaults to "m_decomp_result".'),
     ] = "m_decomp_result",
     prompt_file: Annotated[
         typer.FileText | None,
@@ -175,12 +124,8 @@ def run(
         str,
         typer.Option(
             help=(
-                "Model name/id to be used to run the decomposition pipeline."
-                + ' Defaults to "mistral-small3.2:latest", which is valid for the "ollama" backend.'
-                + " If you have a vLLM instance serving a model from HF with vLLM's OpenAI"
-                + " compatible endpoint, then this option should be set to the model's HF name/id,"
-                + ' e.g. "mistralai/Mistral-Small-3.2-24B-Instruct-2506" and the "--backend" option'
-                + ' should be set to "openai".'
+                "Model name/id used to run the decomposition pipeline. "
+                'Defaults to "mistral-small3.2:latest", valid for the "ollama" backend.'
             )
         ),
     ] = "mistral-small3.2:latest",
@@ -188,47 +133,31 @@ def run(
         DecompBackend,
         typer.Option(
             help=(
-                'Backend to be used for inference. Defaults to "ollama".'
-                + ' Options are: "ollama" and "openai".'
-                + ' The "ollama" backend runs a local inference server.'
-                + ' The "openai" backend will send inference requests to any'
-                + " endpoint that's OpenAI compatible."
+                'Backend used for inference. Options: "ollama", "openai", and "rits".'
             ),
             case_sensitive=False,
         ),
     ] = DecompBackend.ollama,
     backend_req_timeout: Annotated[
         int,
-        typer.Option(
-            help='Time (in seconds) for timeout to be passed on the model inference requests. Defaults to "300"'
-        ),
+        typer.Option(help='Timeout in seconds for backend requests. Defaults to "300".'),
     ] = 300,
     backend_endpoint: Annotated[
         str | None,
         typer.Option(
-            help=(
-                'The "endpoint URL", sometimes called "base URL",'
-                + ' to reach the model when using the "openai" backend.'
-                + ' This option is required if using "--backend openai".'
-            )
+            help='Backend endpoint / base URL. Required for "openai" and "rits".'
         ),
     ] = None,
     backend_api_key: Annotated[
         str | None,
         typer.Option(
-            help=(
-                'The API key for the configured "--backend-endpoint".'
-                + ' If using "--backend openai" this option must be set,'
-                + " even if you are running locally (an OpenAI compatible server), you"
-                + ' must set this option, it can be set to "EMPTY" if your local'
-                + " server doesn't need it."
-            )
+            help='Backend API key. Required for "openai" and "rits".'
         ),
     ] = None,
     version: Annotated[
         DecompVersion,
         typer.Option(
-            help=("Version of the mellea program generator template to be used."),
+            help="Version of the mellea program generator template to use.",
             case_sensitive=False,
         ),
     ] = DecompVersion.latest,
@@ -236,24 +165,40 @@ def run(
         list[str] | None,
         typer.Option(
             help=(
-                "If your task needs user input data, you must pass"
-                + " a descriptive variable name using this option, this way"
-                + " the variable names can be templated into the generated prompts."
-                + " You can pass this option multiple times, one for each input variable name."
-                + " These names must be all uppercase, alphanumeric, with words separated by underscores."
+                "Optional user input variable names. "
+                "You may pass this option multiple times. "
+                "Each value must be a valid Python identifier."
             )
         ),
     ] = None,
+    log_mode: Annotated[
+        LogMode,
+        typer.Option(
+            help='Readable logging mode. Options: "demo" or "debug".',
+            case_sensitive=False,
+        ),
+    ] = LogMode.demo,
 ) -> None:
-    """Runs the decomposition pipeline."""
+    logger = get_logger("m_decompose.cli", log_mode)
+
     try:
         from jinja2 import Environment, FileSystemLoader
 
         from . import pipeline
         from .utils import validate_filename
 
+        log_section(logger, "m_decompose cli")
+        logger.info("out_dir        : %s", out_dir)
+        logger.info("out_name       : %s", out_name)
+        logger.info("backend        : %s", backend.value)
+        logger.info("model_id       : %s", model_id)
+        logger.info("version        : %s", version.value)
+        logger.info("log_mode       : %s", log_mode.value)
+        logger.info("input_vars     : %s", input_var or "[]")
+
         environment = Environment(
-            loader=FileSystemLoader(this_file_dir), autoescape=False
+            loader=FileSystemLoader(this_file_dir),
+            autoescape=False,
         )
 
         ver = (
@@ -261,6 +206,8 @@ def run(
             if version == DecompVersion.latest
             else version.value
         )
+        logger.info("resolved version: %s", ver)
+
         m_template = environment.get_template(f"m_decomp_result_{ver}.py.jinja2")
 
         out_name = out_name.strip()
@@ -276,21 +223,19 @@ def run(
             assert all(
                 var.isidentifier() and not keyword.iskeyword(var) for var in input_var
             ), (
-                'One or more of the "input-var" are not valid. The input variables\' names must be a valid Python identifier'
+                'One or more of the "input-var" are not valid. '
+                "Each input variable name must be a valid Python identifier."
             )
 
+        log_section(logger, "load task prompt")
+
         if prompt_file:
-            decomp_data = pipeline.decompose(
-                task_prompt=prompt_file.read(),
-                user_input_variable=input_var,
-                model_id=model_id,
-                backend=backend,
-                backend_req_timeout=backend_req_timeout,
-                backend_endpoint=backend_endpoint,
-                backend_api_key=backend_api_key,
-            )
+            task_prompt = prompt_file.read()
+            user_input_variable = input_var
+            logger.info("prompt source  : file")
+            logger.info("prompt length  : %d", len(task_prompt))
         else:
-            task_prompt: str = typer.prompt(
+            task_prompt = typer.prompt(
                 (
                     "\nThis mode doesn't support tasks that need input data."
                     + '\nInput must be provided in a single line. Use "\\n" for new lines.'
@@ -299,25 +244,40 @@ def run(
                 type=str,
             )
             task_prompt = task_prompt.replace("\\n", "\n")
-            decomp_data = pipeline.decompose(
-                task_prompt=task_prompt,
-                user_input_variable=None,
-                model_id=model_id,
-                backend=backend,
-                backend_req_timeout=backend_req_timeout,
-                backend_endpoint=backend_endpoint,
-                backend_api_key=backend_api_key,
-            )
+            user_input_variable = None
+            logger.info("prompt source  : interactive")
+            logger.info("prompt length  : %d", len(task_prompt))
+
+        log_section(logger, "run pipeline")
+
+        decomp_data = pipeline.decompose(
+            task_prompt=task_prompt,
+            user_input_variable=user_input_variable,
+            model_id=model_id,
+            backend=backend,
+            backend_req_timeout=backend_req_timeout,
+            backend_endpoint=backend_endpoint,
+            backend_api_key=backend_api_key,
+            log_mode=log_mode,
+        )
+
+        logger.info("verify_user_variables: skipped")
+
+        log_section(logger, "write outputs")
 
         decomp_dir = out_dir / out_name
         val_fn_dir = decomp_dir / "validations"
+
+        logger.info("creating output dir: %s", decomp_dir)
         decomp_dir.mkdir(parents=True, exist_ok=False)
         val_fn_dir.mkdir(exist_ok=True)
 
         (val_fn_dir / "__init__.py").touch()
 
+        val_fn_count = 0
         for constraint in decomp_data["identified_constraints"]:
             if constraint["val_fn"] is not None:
+                val_fn_count += 1
                 with open(val_fn_dir / f"{constraint['val_fn_name']}.py", "w") as f:
                     f.write(constraint["val_fn"] + "\n")
 
@@ -333,9 +293,15 @@ def run(
                 )
                 + "\n"
             )
+
+        logger.info("json written    : %s", decomp_dir / f"{out_name}.json")
+        logger.info("program written : %s", decomp_dir / f"{out_name}.py")
+        logger.info("validation files: %d", val_fn_count)
+        logger.info("")
+        logger.info("m_decompose CLI completed successfully")
+
     except Exception:
         decomp_dir = out_dir / out_name
         if decomp_dir.exists() and decomp_dir.is_dir():
             shutil.rmtree(decomp_dir)
-
-        raise
+        raise
\ No newline at end of file
diff --git a/cli/decompose/logging.py b/cli/decompose/logging.py
new file mode 100644
index 000000000..a5bce4b6b
--- /dev/null
+++ b/cli/decompose/logging.py
@@ -0,0 +1,33 @@
+from enum import StrEnum
+
+try:
+    from mellea.logger import get_logger as _mellea_get_logger
+except ImportError as e:
+    raise ImportError(
+        "Failed to import Mellea logger. "
+        "Please update m_decompose/logging.py to match your local Mellea logger import path."
+    ) from e
+
+
+class LogMode(StrEnum):
+    demo = "demo"
+    debug = "debug"
+
+
+def get_logger(name: str, log_mode: LogMode = LogMode.demo):
+    logger = _mellea_get_logger(name)
+
+    # Assumes Mellea logger supports setLevel like stdlib logger.
+    if log_mode == LogMode.debug:
+        logger.setLevel("DEBUG")
+    else:
+        logger.setLevel("INFO")
+
+    return logger
+
+
+def log_section(logger, title: str) -> None:
+    logger.info("")
+    logger.info("=" * 72)
+    logger.info(title)
+    logger.info("=" * 72)
\ No newline at end of file
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index 5d5a05146..4f11b6f42 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -1,3 +1,4 @@
+# decompose/pipeline.py
 import re
 from enum import StrEnum
 from typing import Literal, NotRequired, TypedDict
@@ -7,6 +8,7 @@
 from mellea.backends.ollama import OllamaModelBackend
 from mellea.backends.openai import OpenAIBackend
 
+from .logging import LogMode, get_logger, log_section
 from .prompt_modules import (
     constraint_extractor,
     general_instructions,
@@ -61,28 +63,45 @@ class DecompBackend(StrEnum):
 RE_JINJA_VAR = re.compile(r"\{\{\s*(.*?)\s*\}\}")
 
 
-def decompose(
-    task_prompt: str,
-    user_input_variable: list[str] | None = None,
+def _dedupe_keep_order(items: list[str]) -> list[str]:
+    return list(dict.fromkeys(items))
+
+
+def _extract_jinja_vars(prompt_template: str) -> list[str]:
+    return re.findall(RE_JINJA_VAR, prompt_template)
+
+
+# -------------------------------------------------------------------
+# backend
+# -------------------------------------------------------------------
+def build_backend_session(
     model_id: str = "mistral-small3.2:latest",
     backend: DecompBackend = DecompBackend.ollama,
     backend_req_timeout: int = 300,
     backend_endpoint: str | None = None,
     backend_api_key: str | None = None,
-) -> DecompPipelineResult:
-    if user_input_variable is None:
-        user_input_variable = []
+    log_mode: LogMode = LogMode.demo,
+) -> MelleaSession:
+    logger = get_logger("m_decompose.backend", log_mode)
+    log_section(logger, "backend")
+
+    logger.info("backend      : %s", backend.value)
+    logger.info("model_id     : %s", model_id)
+    logger.info("timeout      : %s", backend_req_timeout)
+    if backend_endpoint:
+        logger.info("endpoint     : %s", backend_endpoint)
 
-    # region Backend Assignment
     match backend:
         case DecompBackend.ollama:
-            m_session = MelleaSession(
+            logger.info("initializing Ollama backend")
+            session = MelleaSession(
                 OllamaModelBackend(
                     model_id=model_id,
                     base_url=backend_endpoint,
                     model_options={ModelOption.CONTEXT_WINDOW: 16384},
                 )
             )
+
         case DecompBackend.openai:
             assert backend_endpoint is not None, (
                 'Required to provide "backend_endpoint" for this configuration'
@@ -90,7 +109,9 @@ def decompose(
             assert backend_api_key is not None, (
                 'Required to provide "backend_api_key" for this configuration'
             )
-            m_session = MelleaSession(
+
+            logger.info("initializing OpenAI-compatible backend")
+            session = MelleaSession(
                 OpenAIBackend(
                     model_id=model_id,
                     base_url=backend_endpoint,
@@ -98,6 +119,7 @@ def decompose(
                     model_options={"timeout": backend_req_timeout},
                 )
             )
+
         case DecompBackend.rits:
             assert backend_endpoint is not None, (
                 'Required to provide "backend_endpoint" for this configuration'
@@ -106,40 +128,103 @@ def decompose(
                 'Required to provide "backend_api_key" for this configuration'
             )
 
+            logger.info("initializing RITS backend")
             from mellea_ibm.rits import RITSBackend, RITSModelIdentifier  # type: ignore
 
-            m_session = MelleaSession(
+            session = MelleaSession(
                 RITSBackend(
                     RITSModelIdentifier(endpoint=backend_endpoint, model_name=model_id),
                     api_key=backend_api_key,
                     model_options={"timeout": backend_req_timeout},
                 )
             )
-    # endregion
 
+    logger.info("backend session ready")
+    return session
+
+
+# -------------------------------------------------------------------
+# task_decompose
+# -------------------------------------------------------------------
+def task_decompose(
+    m_session: MelleaSession,
+    task_prompt: str,
+    log_mode: LogMode = LogMode.demo,
+) -> tuple[list[SubtaskItem], list[str]]:
+    logger = get_logger("m_decompose.task_decompose", log_mode)
+    log_section(logger, "task_decompose")
+
+    logger.info("generating subtask list")
     subtasks: list[SubtaskItem] = subtask_list.generate(m_session, task_prompt).parse()
 
-    task_prompt_constraints: list[str] = constraint_extractor.generate(
-        m_session, task_prompt, enforce_same_words=False
+    logger.info("subtasks found: %d", len(subtasks))
+    for i, item in enumerate(subtasks, start=1):
+        logger.info("  [%02d] tag=%s | subtask=%s", i, item.tag, item.subtask)
+
+    logger.info("extracting task constraints")
+    task_constraints: list[str] = constraint_extractor.generate(
+        m_session,
+        task_prompt,
+        enforce_same_words=False,
     ).parse()
 
-    constraint_val_strategies: dict[str, Literal["code", "llm"]] = {
-        cons_key: validation_decision.generate(m_session, cons_key).parse() or "llm"
-        for cons_key in task_prompt_constraints
-    }
+    logger.info("constraints found: %d", len(task_constraints))
+    for i, cons in enumerate(task_constraints, start=1):
+        logger.info("  [%02d] %s", i, cons)
+
+    return subtasks, task_constraints
+
+
+# -------------------------------------------------------------------
+# constraint_validate
+# -------------------------------------------------------------------
+def constraint_validate(
+    m_session: MelleaSession,
+    task_constraints: list[str],
+    log_mode: LogMode = LogMode.demo,
+) -> dict[str, ConstraintValData]:
+    logger = get_logger("m_decompose.constraint_validate", log_mode)
+    log_section(logger, "constraint_validate")
 
     constraint_val_data: dict[str, ConstraintValData] = {}
 
-    for cons_key in constraint_val_strategies:
+    for idx, cons_key in enumerate(task_constraints, start=1):
+        logger.info("constraint [%02d]: %s", idx, cons_key)
+
+        val_strategy = validation_decision.generate(m_session, cons_key).parse() or "llm"
+        logger.info("  strategy: %s", val_strategy)
+
+        val_fn: str | None = None
+        if val_strategy == "code":
+            logger.info("  generating validation code")
+            val_fn = validation_code_generator.generate(m_session, cons_key).parse()
+            logger.debug("  generated val_fn length: %d", len(val_fn) if val_fn else 0)
+        else:
+            logger.info("  validation mode: llm")
+
         constraint_val_data[cons_key] = {
-            "val_strategy": constraint_val_strategies[cons_key],
-            "val_fn": None,
+            "val_strategy": val_strategy,
+            "val_fn": val_fn,
         }
-        if constraint_val_data[cons_key]["val_strategy"] == "code":
-            constraint_val_data[cons_key]["val_fn"] = (
-                validation_code_generator.generate(m_session, cons_key).parse()
-            )
 
+    return constraint_val_data
+
+
+# -------------------------------------------------------------------
+# task_execute
+# -------------------------------------------------------------------
+def task_execute(
+    m_session: MelleaSession,
+    task_prompt: str,
+    user_input_variable: list[str],
+    subtasks: list[SubtaskItem],
+    task_constraints: list[str],
+    log_mode: LogMode = LogMode.demo,
+) -> list[SubtaskPromptConstraintsItem]:
+    logger = get_logger("m_decompose.task_execute", log_mode)
+    log_section(logger, "task_execute")
+
+    logger.info("generating prompt templates for subtasks")
     subtask_prompts: list[SubtaskPromptItem] = subtask_prompt_generator.generate(
         m_session,
         task_prompt,
@@ -147,63 +232,95 @@ def decompose(
         subtasks_and_tags=subtasks,
     ).parse()
 
+    logger.info("subtask prompt templates generated: %d", len(subtask_prompts))
+    for i, item in enumerate(subtask_prompts, start=1):
+        logger.info("  [%02d] tag=%s", i, item.tag)
+        logger.debug("       prompt_template=%s", item.prompt_template)
+
+    logger.info("assigning constraints to subtasks")
     subtask_prompts_with_constraints: list[SubtaskPromptConstraintsItem] = (
         subtask_constraint_assign.generate(
             m_session,
             subtasks_tags_and_prompts=subtask_prompts,
-            constraint_list=task_prompt_constraints,
+            constraint_list=task_constraints,
         ).parse()
     )
 
-    decomp_subtask_result: list[DecompSubtasksResult] = [
-        DecompSubtasksResult(
+    logger.info("constraint assignment completed: %d", len(subtask_prompts_with_constraints))
+    for i, item in enumerate(subtask_prompts_with_constraints, start=1):
+        logger.info(
+            "  [%02d] tag=%s | assigned_constraints=%d",
+            i,
+            item.tag,
+            len(item.constraints),
+        )
+        for cons in item.constraints:
+            logger.debug("       - %s", cons)
+
+    return subtask_prompts_with_constraints
+
+
+# -------------------------------------------------------------------
+# finalize_result
+# -------------------------------------------------------------------
+def finalize_result(
+    m_session: MelleaSession,
+    task_prompt: str,
+    user_input_variable: list[str],
+    subtasks: list[SubtaskItem],
+    task_constraints: list[str],
+    constraint_val_data: dict[str, ConstraintValData],
+    subtask_prompts_with_constraints: list[SubtaskPromptConstraintsItem],
+    log_mode: LogMode = LogMode.demo,
+) -> DecompPipelineResult:
+    logger = get_logger("m_decompose.finalize_result", log_mode)
+    log_section(logger, "finalize_result")
+
+    decomp_subtask_result: list[DecompSubtasksResult] = []
+
+    for subtask_i, subtask_data in enumerate(subtask_prompts_with_constraints, start=1):
+        jinja_vars = _extract_jinja_vars(subtask_data.prompt_template)
+
+        input_vars_required = _dedupe_keep_order(
+            [item for item in jinja_vars if item in user_input_variable]
+        )
+        depends_on = _dedupe_keep_order(
+            [item for item in jinja_vars if item not in user_input_variable]
+        )
+
+        logger.info("finalizing subtask [%02d] tag=%s", subtask_i, subtask_data.tag)
+        logger.info("  input_vars_required: %s", input_vars_required or "[]")
+        logger.info("  depends_on         : %s", depends_on or "[]")
+
+        subtask_constraints: list[ConstraintResult] = [
+            {
+                "constraint": cons_str,
+                "val_strategy": constraint_val_data[cons_str]["val_strategy"],
+                "val_fn_name": f"val_fn_{task_constraints.index(cons_str) + 1}",
+                "val_fn": constraint_val_data[cons_str]["val_fn"],
+            }
+            for cons_str in subtask_data.constraints
+        ]
+
+        subtask_result: DecompSubtasksResult = DecompSubtasksResult(
             subtask=subtask_data.subtask,
             tag=subtask_data.tag,
-            constraints=[
-                {
-                    "constraint": cons_str,
-                    "val_strategy": constraint_val_data[cons_str]["val_strategy"],
-                    "val_fn_name": f"val_fn_{task_prompt_constraints.index(cons_str) + 1}",
-                    # Always include generated "val_fn" code (experimental)
-                    "val_fn": constraint_val_data[cons_str]["val_fn"],
-                    # Include generated "val_fn" code only for the last subtask (experimental)
-                    # "val_fn": constraint_val_data[cons_str]["val_fn"]
-                    # if subtask_i + 1 == len(subtask_prompts_with_constraints)
-                    # else None,
-                }
-                for cons_str in subtask_data.constraints
-            ],
+            constraints=subtask_constraints,
             prompt_template=subtask_data.prompt_template,
             general_instructions=general_instructions.generate(
-                m_session, input_str=subtask_data.prompt_template
+                m_session,
+                input_str=subtask_data.prompt_template,
             ).parse(),
-            input_vars_required=list(
-                dict.fromkeys(  # Remove duplicates while preserving the original order.
-                    [
-                        item
-                        for item in re.findall(
-                            RE_JINJA_VAR, subtask_data.prompt_template
-                        )
-                        if item in user_input_variable
-                    ]
-                )
-            ),
-            depends_on=list(
-                dict.fromkeys(  # Remove duplicates while preserving the original order.
-                    [
-                        item
-                        for item in re.findall(
-                            RE_JINJA_VAR, subtask_data.prompt_template
-                        )
-                        if item not in user_input_variable
-                    ]
-                )
-            ),
+            input_vars_required=input_vars_required,
+            depends_on=depends_on,
         )
-        for subtask_i, subtask_data in enumerate(subtask_prompts_with_constraints)
-    ]
 
-    return DecompPipelineResult(
+        logger.debug("  prompt_template=%s", subtask_result["prompt_template"])
+        logger.debug("  general_instructions=%s", subtask_result["general_instructions"])
+
+        decomp_subtask_result.append(subtask_result)
+
+    result = DecompPipelineResult(
         original_task_prompt=task_prompt,
         subtask_list=[item.subtask for item in subtasks],
         identified_constraints=[
@@ -213,7 +330,82 @@ def decompose(
                 "val_fn": constraint_val_data[cons_str]["val_fn"],
                 "val_fn_name": f"val_fn_{cons_i + 1}",
             }
-            for cons_i, cons_str in enumerate(task_prompt_constraints)
+            for cons_i, cons_str in enumerate(task_constraints)
         ],
         subtasks=decomp_subtask_result,
     )
+
+    logger.info("pipeline result finalized")
+    logger.info("  total_subtasks   : %d", len(result["subtasks"]))
+    logger.info("  total_constraints: %d", len(result["identified_constraints"]))
+    logger.info("  verify step      : skipped")
+
+    return result
+
+
+# -------------------------------------------------------------------
+# public entry
+# -------------------------------------------------------------------
+def decompose(
+    task_prompt: str,
+    user_input_variable: list[str] | None = None,
+    model_id: str = "mistral-small3.2:latest",
+    backend: DecompBackend = DecompBackend.ollama,
+    backend_req_timeout: int = 300,
+    backend_endpoint: str | None = None,
+    backend_api_key: str | None = None,
+    log_mode: LogMode = LogMode.demo,
+) -> DecompPipelineResult:
+    logger = get_logger("m_decompose.pipeline", log_mode)
+    log_section(logger, "m_decompose pipeline")
+
+    if user_input_variable is None:
+        user_input_variable = []
+
+    logger.info("log_mode       : %s", log_mode.value)
+    logger.info("user_input_vars: %s", user_input_variable or "[]")
+
+    m_session = build_backend_session(
+        model_id=model_id,
+        backend=backend,
+        backend_req_timeout=backend_req_timeout,
+        backend_endpoint=backend_endpoint,
+        backend_api_key=backend_api_key,
+        log_mode=log_mode,
+    )
+
+    subtasks, task_constraints = task_decompose(
+        m_session=m_session,
+        task_prompt=task_prompt,
+        log_mode=log_mode,
+    )
+
+    constraint_val_data = constraint_validate(
+        m_session=m_session,
+        task_constraints=task_constraints,
+        log_mode=log_mode,
+    )
+
+    subtask_prompts_with_constraints = task_execute(
+        m_session=m_session,
+        task_prompt=task_prompt,
+        user_input_variable=user_input_variable,
+        subtasks=subtasks,
+        task_constraints=task_constraints,
+        log_mode=log_mode,
+    )
+
+    result = finalize_result(
+        m_session=m_session,
+        task_prompt=task_prompt,
+        user_input_variable=user_input_variable,
+        subtasks=subtasks,
+        task_constraints=task_constraints,
+        constraint_val_data=constraint_val_data,
+        subtask_prompts_with_constraints=subtask_prompts_with_constraints,
+        log_mode=log_mode,
+    )
+
+    logger.info("")
+    logger.info("m_decompose pipeline completed successfully")
+    return result
\ No newline at end of file

From 0231348853234d42af945cc934214e8e74f06863 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 17:32:55 +0000
Subject: [PATCH 32/38] upd: unify logging config

---
 cli/decompose/decompose.py |  5 +++--
 cli/decompose/logging.py   | 45 ++++++++++++++++++++++++--------------
 cli/decompose/pipeline.py  | 37 ++++++++++++++++++-------------
 3 files changed, 53 insertions(+), 34 deletions(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 57da6b3fa..8f2d02972 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -10,7 +10,7 @@
 
 import typer
 
-from .logging import LogMode, get_logger, log_section
+from .logging import LogMode, configure_logging, get_logger, log_section
 from .pipeline import DecompBackend, DecompPipelineResult, DecompSubtasksResult
 
 
@@ -179,7 +179,8 @@ def run(
         ),
     ] = LogMode.demo,
 ) -> None:
-    logger = get_logger("m_decompose.cli", log_mode)
+    configure_logging(log_mode)
+    logger = get_logger("m_decompose.cli")
 
     try:
         from jinja2 import Environment, FileSystemLoader
diff --git a/cli/decompose/logging.py b/cli/decompose/logging.py
index a5bce4b6b..3bd933fa8 100644
--- a/cli/decompose/logging.py
+++ b/cli/decompose/logging.py
@@ -1,32 +1,43 @@
+import logging
+import sys
 from enum import StrEnum
 
-try:
-    from mellea.logger import get_logger as _mellea_get_logger
-except ImportError as e:
-    raise ImportError(
-        "Failed to import Mellea logger. "
-        "Please update m_decompose/logging.py to match your local Mellea logger import path."
-    ) from e
-
 
 class LogMode(StrEnum):
     demo = "demo"
     debug = "debug"
 
 
-def get_logger(name: str, log_mode: LogMode = LogMode.demo):
-    logger = _mellea_get_logger(name)
+_CONFIGURED = False
+
+
+def configure_logging(log_mode: LogMode = LogMode.demo) -> None:
+    global _CONFIGURED
+
+    level = logging.DEBUG if log_mode == LogMode.debug else logging.INFO
+
+    root_logger = logging.getLogger()
+
+    if not _CONFIGURED:
+        handler = logging.StreamHandler(sys.stdout)
+        handler.setFormatter(
+            logging.Formatter("[%(levelname)s] %(name)s | %(message)s")
+        )
+        root_logger.handlers.clear()
+        root_logger.addHandler(handler)
+        _CONFIGURED = True
+
+    root_logger.setLevel(level)
+
+    logging.getLogger("m_decompose").setLevel(level)
+    logging.getLogger("mellea").setLevel(level)
 
-    # Assumes Mellea logger supports setLevel like stdlib logger.
-    if log_mode == LogMode.debug:
-        logger.setLevel("DEBUG")
-    else:
-        logger.setLevel("INFO")
 
-    return logger
+def get_logger(name: str) -> logging.Logger:
+    return logging.getLogger(name)
 
 
-def log_section(logger, title: str) -> None:
+def log_section(logger: logging.Logger, title: str) -> None:
     logger.info("")
     logger.info("=" * 72)
     logger.info(title)
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index 4f11b6f42..158503392 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -8,7 +8,7 @@
 from mellea.backends.ollama import OllamaModelBackend
 from mellea.backends.openai import OpenAIBackend
 
-from .logging import LogMode, get_logger, log_section
+from .logging import LogMode, configure_logging, get_logger, log_section
 from .prompt_modules import (
     constraint_extractor,
     general_instructions,
@@ -80,9 +80,9 @@ def build_backend_session(
     backend_req_timeout: int = 300,
     backend_endpoint: str | None = None,
     backend_api_key: str | None = None,
-    log_mode: LogMode = LogMode.demo,
+    log_mode: LogMode = LogMode.demo,  # kept for signature compatibility
 ) -> MelleaSession:
-    logger = get_logger("m_decompose.backend", log_mode)
+    logger = get_logger("m_decompose.backend")
     log_section(logger, "backend")
 
     logger.info("backend      : %s", backend.value)
@@ -149,9 +149,9 @@ def build_backend_session(
 def task_decompose(
     m_session: MelleaSession,
     task_prompt: str,
-    log_mode: LogMode = LogMode.demo,
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
 ) -> tuple[list[SubtaskItem], list[str]]:
-    logger = get_logger("m_decompose.task_decompose", log_mode)
+    logger = get_logger("m_decompose.task_decompose")
     log_section(logger, "task_decompose")
 
     logger.info("generating subtask list")
@@ -181,9 +181,9 @@ def task_decompose(
 def constraint_validate(
     m_session: MelleaSession,
     task_constraints: list[str],
-    log_mode: LogMode = LogMode.demo,
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
 ) -> dict[str, ConstraintValData]:
-    logger = get_logger("m_decompose.constraint_validate", log_mode)
+    logger = get_logger("m_decompose.constraint_validate")
     log_section(logger, "constraint_validate")
 
     constraint_val_data: dict[str, ConstraintValData] = {}
@@ -191,7 +191,9 @@ def constraint_validate(
     for idx, cons_key in enumerate(task_constraints, start=1):
         logger.info("constraint [%02d]: %s", idx, cons_key)
 
-        val_strategy = validation_decision.generate(m_session, cons_key).parse() or "llm"
+        val_strategy = (
+            validation_decision.generate(m_session, cons_key).parse() or "llm"
+        )
         logger.info("  strategy: %s", val_strategy)
 
         val_fn: str | None = None
@@ -219,9 +221,9 @@ def task_execute(
     user_input_variable: list[str],
     subtasks: list[SubtaskItem],
     task_constraints: list[str],
-    log_mode: LogMode = LogMode.demo,
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
 ) -> list[SubtaskPromptConstraintsItem]:
-    logger = get_logger("m_decompose.task_execute", log_mode)
+    logger = get_logger("m_decompose.task_execute")
     log_section(logger, "task_execute")
 
     logger.info("generating prompt templates for subtasks")
@@ -246,7 +248,9 @@ def task_execute(
         ).parse()
     )
 
-    logger.info("constraint assignment completed: %d", len(subtask_prompts_with_constraints))
+    logger.info(
+        "constraint assignment completed: %d", len(subtask_prompts_with_constraints)
+    )
     for i, item in enumerate(subtask_prompts_with_constraints, start=1):
         logger.info(
             "  [%02d] tag=%s | assigned_constraints=%d",
@@ -271,9 +275,9 @@ def finalize_result(
     task_constraints: list[str],
     constraint_val_data: dict[str, ConstraintValData],
     subtask_prompts_with_constraints: list[SubtaskPromptConstraintsItem],
-    log_mode: LogMode = LogMode.demo,
+    log_mode: LogMode = LogMode.demo,  # kept for compatibility
 ) -> DecompPipelineResult:
-    logger = get_logger("m_decompose.finalize_result", log_mode)
+    logger = get_logger("m_decompose.finalize_result")
     log_section(logger, "finalize_result")
 
     decomp_subtask_result: list[DecompSubtasksResult] = []
@@ -316,7 +320,9 @@ def finalize_result(
         )
 
         logger.debug("  prompt_template=%s", subtask_result["prompt_template"])
-        logger.debug("  general_instructions=%s", subtask_result["general_instructions"])
+        logger.debug(
+            "  general_instructions=%s", subtask_result["general_instructions"]
+        )
 
         decomp_subtask_result.append(subtask_result)
 
@@ -356,7 +362,8 @@ def decompose(
     backend_api_key: str | None = None,
     log_mode: LogMode = LogMode.demo,
 ) -> DecompPipelineResult:
-    logger = get_logger("m_decompose.pipeline", log_mode)
+    configure_logging(log_mode)
+    logger = get_logger("m_decompose.pipeline")
     log_section(logger, "m_decompose pipeline")
 
     if user_input_variable is None:

From e1bacd714dd4831918dd87619f8fde0968119077 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Mon, 16 Mar 2026 20:27:30 +0000
Subject: [PATCH 33/38] add: query print

---
 cli/decompose/decompose.py | 16 +++++++---------
 cli/decompose/logging.py   |  2 +-
 cli/decompose/pipeline.py  | 34 ++++++++++++++++++----------------
 3 files changed, 26 insertions(+), 26 deletions(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 8f2d02972..a6b54e833 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -54,8 +54,7 @@ def reorder_subtasks(
 
 
 def verify_user_variables(
-    decomp_data: DecompPipelineResult,
-    input_var: list[str] | None,
+    decomp_data: DecompPipelineResult, input_var: list[str] | None
 ) -> DecompPipelineResult:
     if input_var is None:
         input_var = []
@@ -140,7 +139,9 @@ def run(
     ] = DecompBackend.ollama,
     backend_req_timeout: Annotated[
         int,
-        typer.Option(help='Timeout in seconds for backend requests. Defaults to "300".'),
+        typer.Option(
+            help='Timeout in seconds for backend requests. Defaults to "300".'
+        ),
     ] = 300,
     backend_endpoint: Annotated[
         str | None,
@@ -150,9 +151,7 @@ def run(
     ] = None,
     backend_api_key: Annotated[
         str | None,
-        typer.Option(
-            help='Backend API key. Required for "openai" and "rits".'
-        ),
+        typer.Option(help='Backend API key. Required for "openai" and "rits".'),
     ] = None,
     version: Annotated[
         DecompVersion,
@@ -198,8 +197,7 @@ def run(
         logger.info("input_vars     : %s", input_var or "[]")
 
         environment = Environment(
-            loader=FileSystemLoader(this_file_dir),
-            autoescape=False,
+            loader=FileSystemLoader(this_file_dir), autoescape=False
         )
 
         ver = (
@@ -305,4 +303,4 @@ def run(
         decomp_dir = out_dir / out_name
         if decomp_dir.exists() and decomp_dir.is_dir():
             shutil.rmtree(decomp_dir)
-        raise
\ No newline at end of file
+        raise
diff --git a/cli/decompose/logging.py b/cli/decompose/logging.py
index 3bd933fa8..4f32440cb 100644
--- a/cli/decompose/logging.py
+++ b/cli/decompose/logging.py
@@ -41,4 +41,4 @@ def log_section(logger: logging.Logger, title: str) -> None:
     logger.info("")
     logger.info("=" * 72)
     logger.info(title)
-    logger.info("=" * 72)
\ No newline at end of file
+    logger.info("=" * 72)
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index 158503392..500b3d82e 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -71,6 +71,13 @@ def _extract_jinja_vars(prompt_template: str) -> list[str]:
     return re.findall(RE_JINJA_VAR, prompt_template)
 
 
+def _preview_text(text: str, max_len: int = 240) -> str:
+    text = " ".join(text.strip().split())
+    if len(text) <= max_len:
+        return text
+    return text[:max_len] + " ..."
+
+
 # -------------------------------------------------------------------
 # backend
 # -------------------------------------------------------------------
@@ -163,9 +170,7 @@ def task_decompose(
 
     logger.info("extracting task constraints")
     task_constraints: list[str] = constraint_extractor.generate(
-        m_session,
-        task_prompt,
-        enforce_same_words=False,
+        m_session, task_prompt, enforce_same_words=False
     ).parse()
 
     logger.info("constraints found: %d", len(task_constraints))
@@ -204,10 +209,7 @@ def constraint_validate(
         else:
             logger.info("  validation mode: llm")
 
-        constraint_val_data[cons_key] = {
-            "val_strategy": val_strategy,
-            "val_fn": val_fn,
-        }
+        constraint_val_data[cons_key] = {"val_strategy": val_strategy, "val_fn": val_fn}
 
     return constraint_val_data
 
@@ -312,8 +314,7 @@ def finalize_result(
             constraints=subtask_constraints,
             prompt_template=subtask_data.prompt_template,
             general_instructions=general_instructions.generate(
-                m_session,
-                input_str=subtask_data.prompt_template,
+                m_session, input_str=subtask_data.prompt_template
             ).parse(),
             input_vars_required=input_vars_required,
             depends_on=depends_on,
@@ -372,6 +373,11 @@ def decompose(
     logger.info("log_mode       : %s", log_mode.value)
     logger.info("user_input_vars: %s", user_input_variable or "[]")
 
+    if log_mode == LogMode.debug:
+        logger.info("user_query     : %s", task_prompt)
+    else:
+        logger.info("user_query     : %s", _preview_text(task_prompt))
+
     m_session = build_backend_session(
         model_id=model_id,
         backend=backend,
@@ -382,15 +388,11 @@ def decompose(
     )
 
     subtasks, task_constraints = task_decompose(
-        m_session=m_session,
-        task_prompt=task_prompt,
-        log_mode=log_mode,
+        m_session=m_session, task_prompt=task_prompt, log_mode=log_mode
     )
 
     constraint_val_data = constraint_validate(
-        m_session=m_session,
-        task_constraints=task_constraints,
-        log_mode=log_mode,
+        m_session=m_session, task_constraints=task_constraints, log_mode=log_mode
     )
 
     subtask_prompts_with_constraints = task_execute(
@@ -415,4 +417,4 @@ def decompose(
 
     logger.info("")
     logger.info("m_decompose pipeline completed successfully")
-    return result
\ No newline at end of file
+    return result

From 1de4c9379b724480fb5d414608ca8b260ea8182a Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 17 Mar 2026 06:10:45 +0000
Subject: [PATCH 34/38] merge: from main updates and add compatibility

---
 .gitignore                                    |   1 +
 AGENTS.md                                     |   3 +-
 CONTRIBUTING.md                               |  62 +++-
 cli/alora/commands.py                         |  52 ++-
 cli/alora/intrinsic_uploader.py               |  39 +++
 cli/alora/readme_generator.py                 |  51 ++-
 cli/alora/train.py                            | 100 ++++++
 cli/alora/upload.py                           |  14 +-
 cli/decompose/__init__.py                     |   9 +
 cli/decompose/decompose.py                    |  23 +-
 cli/decompose/pipeline.py                     |  86 +++++
 cli/decompose/utils.py                        |  21 ++
 cli/eval/__init__.py                          |   9 +-
 cli/eval/commands.py                          |  19 ++
 cli/eval/runner.py                            | 132 +++++++-
 cli/m.py                                      |  15 +-
 docs/docs/docs.json                           | 137 ++++++--
 docs/docs/guide/CONTRIBUTING.md               |  26 ++
 mellea/backends/__init__.py                   |  10 +-
 mellea/backends/adapters/adapter.py           | 186 +++++++----
 mellea/backends/adapters/catalog.py           |  33 +-
 mellea/backends/backend.py                    |  24 +-
 mellea/backends/bedrock.py                    |  40 ++-
 mellea/backends/cache.py                      |  84 ++++-
 mellea/backends/dummy.py                      |  45 ++-
 mellea/backends/huggingface.py                | 188 +++++++++--
 mellea/backends/kv_block_helpers.py           |  40 ++-
 mellea/backends/litellm.py                    |  94 +++++-
 mellea/backends/model_ids.py                  |  19 +-
 mellea/backends/model_options.py              |  47 ++-
 mellea/backends/ollama.py                     | 112 +++++--
 mellea/backends/openai.py                     | 156 +++++++--
 mellea/backends/tools.py                      | 175 +++++++++-
 mellea/backends/utils.py                      |  30 +-
 mellea/backends/vllm.py                       |  87 ++++-
 mellea/backends/watsonx.py                    | 132 ++++++--
 mellea/core/__init__.py                       |  11 +-
 mellea/core/backend.py                        |  52 ++-
 mellea/core/base.py                           | 308 +++++++++++++++---
 mellea/core/formatter.py                      |  18 +-
 mellea/core/requirement.py                    | 109 +++++--
 mellea/core/sampling.py                       |  45 ++-
 mellea/core/utils.py                          |  84 ++++-
 mellea/formatters/__init__.py                 |  10 +-
 mellea/formatters/chat_formatter.py           |  27 +-
 mellea/formatters/granite/base/io.py          |  89 +++--
 mellea/formatters/granite/base/optional.py    |  22 +-
 mellea/formatters/granite/base/types.py       | 138 +++++++-
 mellea/formatters/granite/base/util.py        |  93 ++++--
 .../granite/granite3/granite32/input.py       |  33 +-
 .../granite/granite3/granite32/output.py      |  21 +-
 .../granite/granite3/granite33/input.py       |  31 +-
 .../granite/granite3/granite33/output.py      |  19 +-
 mellea/formatters/granite/granite3/output.py  |  35 ++
 mellea/formatters/granite/granite3/types.py   |  90 ++++-
 mellea/formatters/granite/intrinsics/input.py |  71 ++--
 .../granite/intrinsics/json_util.py           | 174 +++++++---
 .../formatters/granite/intrinsics/output.py   | 200 +++++++++---
 mellea/formatters/granite/intrinsics/util.py  |  69 ++--
 .../granite/retrievers/elasticsearch.py       |  40 ++-
 .../granite/retrievers/embeddings.py          |  69 ++--
 mellea/formatters/granite/retrievers/util.py  |  41 ++-
 mellea/formatters/template_formatter.py       |  50 ++-
 mellea/helpers/__init__.py                    |  11 +-
 mellea/helpers/async_helpers.py               |  61 +++-
 mellea/helpers/openai_compatible_helpers.py   |  47 ++-
 mellea/helpers/server_type.py                 |  17 +-
 mellea/stdlib/__init__.py                     |  12 +-
 mellea/stdlib/components/chat.py              |  89 +++--
 mellea/stdlib/components/docs/document.py     |  30 +-
 mellea/stdlib/components/docs/richdocument.py | 196 ++++++++---
 mellea/stdlib/components/genslot.py           | 161 +++++++--
 mellea/stdlib/components/instruction.py       |  73 ++++-
 .../stdlib/components/intrinsic/intrinsic.py  |  68 ++--
 mellea/stdlib/components/intrinsic/rag.py     | 144 ++++----
 mellea/stdlib/components/mify.py              |  98 ++++--
 mellea/stdlib/components/mobject.py           | 180 +++++++---
 mellea/stdlib/components/react.py             |  44 ++-
 mellea/stdlib/components/simple.py            |  40 ++-
 mellea/stdlib/components/unit_test_eval.py    |  95 +++++-
 mellea/stdlib/context.py                      |  59 +++-
 mellea/stdlib/frameworks/react.py             |   9 +-
 mellea/stdlib/functional.py                   |  66 +++-
 mellea/stdlib/requirements/md.py              |  10 +-
 mellea/stdlib/requirements/python_reqs.py     |  28 +-
 mellea/stdlib/requirements/requirement.py     |  80 ++++-
 mellea/stdlib/requirements/safety/guardian.py |  86 ++++-
 mellea/stdlib/requirements/tool_reqs.py       |  18 +-
 mellea/stdlib/sampling/base.py                |  18 +-
 mellea/stdlib/sampling/budget_forcing.py      |  46 ++-
 mellea/stdlib/sampling/majority_voting.py     | 147 ++++++---
 .../sampling_algos/budget_forcing_alg.py      |  45 ++-
 mellea/stdlib/sampling/sofai.py               |  44 ++-
 mellea/stdlib/session.py                      | 163 ++++++++-
 mellea/stdlib/tools/interpreter.py            |  98 +++++-
 mellea/telemetry/tracing.py                   |  14 +-
 test/core/test_astream_incremental.py         |   5 +-
 test/core/test_astream_mock.py                | 165 ++++++++++
 .../model_output/citations.json               |   2 +-
 tooling/docs-autogen/audit_coverage.py        |  80 +++--
 tooling/docs-autogen/build.py                 |   7 -
 tooling/docs-autogen/generate-ast.py          | 140 ++------
 uv.lock                                       |  73 +++++
 103 files changed, 5681 insertions(+), 1338 deletions(-)
 create mode 100644 test/core/test_astream_mock.py

diff --git a/.gitignore b/.gitignore
index 28c2508cc..6bc21d762 100644
--- a/.gitignore
+++ b/.gitignore
@@ -456,3 +456,4 @@ pyrightconfig.json
 # Generated API documentation (built by tooling/docs-autogen/)
 docs/docs/api/
 docs/docs/api-reference.mdx
+.venv-docs-autogen/
diff --git a/AGENTS.md b/AGENTS.md
index 0396b617e..32adb3d24 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -89,10 +89,9 @@ Tests/examples automatically skip if system lacks required resources. Heavy exam
 ## 4. Coding Standards
 - **Types required** on all core functions
 - **Docstrings are prompts** — be specific, the LLM reads them
-- **Google-style docstrings**
+- **Google-style docstrings** — `Args:` on the **class docstring only**; `__init__` gets a single summary sentence. Add `Attributes:` only when a stored value differs in type/behaviour from its constructor input (type transforms, computed values, class constants). See CONTRIBUTING.md for a full example.
 - **Ruff** for linting/formatting
 - Use `...` in `@generative` function bodies
-- Use `...` in `@generative` function bodies
 - Prefer primitives over classes
 - **Friendly Dependency Errors**: Wraps optional backend imports in `try/except ImportError` with a helpful message (e.g., "Please pip install mellea[hf]"). See `mellea/stdlib/session.py` for examples.
 
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index ea66ac185..cbd416a2e 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -132,14 +132,14 @@ Use **[Google-style docstrings](https://google.github.io/styleguide/pyguide.html
 ```python
 def extract_entities(text: str, entity_types: list[str]) -> dict[str, list[str]]:
     """Extract named entities from text.
-    
+
     Args:
         text: The input text to analyze.
         entity_types: List of entity types to extract (e.g., ["PERSON", "ORG"]).
-    
+
     Returns:
         Dictionary mapping entity types to lists of extracted entities.
-    
+
     Example:
         >>> extract_entities("Alice works at IBM", ["PERSON", "ORG"])
         {"PERSON": ["Alice"], "ORG": ["IBM"]}
@@ -147,6 +147,62 @@ def extract_entities(text: str, entity_types: list[str]) -> dict[str, list[str]]
     ...
 ```
 
+#### Class and `__init__` docstrings
+
+Place `Args:` on the **class docstring only**. The `__init__` docstring should be a
+single summary sentence with no `Args:` section. This keeps hover docs clean in IDEs
+and ensures the docs pipeline (which skips `__init__`) publishes the full parameter
+list.
+
+```python
+class MyComponent(Component[str]):
+    """A component that does something useful.
+
+    Args:
+        name (str): Human-readable label for this component.
+        max_tokens (int): Upper bound on generated tokens.
+    """
+
+    def __init__(self, name: str, max_tokens: int = 256) -> None:
+        """Initialize MyComponent with a name and token budget."""
+        self.name = name
+        self.max_tokens = max_tokens
+```
+
+Add an `Attributes:` section on the class docstring **only** when a stored attribute
+differs in type or behaviour from the constructor input — for example, when a `str`
+argument is wrapped into a `CBlock`, or when a class-level constant is relevant to
+callers. Pure-echo entries that repeat `Args:` verbatim should be omitted.
+
+#### Validating docstrings
+
+Run the coverage and quality audit to check your changes before committing:
+
+```bash
+# Build fresh API docs then audit quality (documented symbols only)
+uv run python tooling/docs-autogen/generate-ast.py
+uv run python tooling/docs-autogen/audit_coverage.py \
+    --quality --no-methods --docs-dir docs/docs/api
+```
+
+Key checks the audit enforces:
+
+| Check | Meaning |
+|-------|---------|
+| `no_class_args` | Class has typed `__init__` params but no `Args:` on the class docstring |
+| `duplicate_init_args` | `Args:` appears in both the class and `__init__` docstrings (Option C violation) |
+| `no_args` | Standalone function has params but no `Args:` section |
+| `no_returns` | Function has a non-trivial return annotation but no `Returns:` section |
+| `param_mismatch` | `Args:` documents names not present in the actual signature |
+
+**IDE hover verification** — open any of these existing classes in VS Code and hover
+over the class name or a constructor call to confirm the hover card shows `Args:` once
+with no duplication:
+
+- `ReactInitiator` ([mellea/stdlib/components/react.py](mellea/stdlib/components/react.py)) — `Args:` + `Attributes:` (`goal: str → CBlock` transform)
+- `BaseSamplingStrategy` ([mellea/stdlib/sampling/base.py](mellea/stdlib/sampling/base.py)) — `Args:` only, no `Attributes:` (pure-echo removed)
+- `TokenToFloat` ([mellea/formatters/granite/intrinsics/output.py](mellea/formatters/granite/intrinsics/output.py)) — `Attributes:` for `YAML_NAME` class constant
+
 ### Code Style
 
 - **Ruff** for linting and formatting
diff --git a/cli/alora/commands.py b/cli/alora/commands.py
index 8a85067cb..4b2f537e3 100644
--- a/cli/alora/commands.py
+++ b/cli/alora/commands.py
@@ -1,3 +1,12 @@
+"""Typer sub-application for the ``m alora`` command group.
+
+Provides three commands: ``train`` (fine-tune a base causal language model on a JSONL
+dataset to produce a LoRA or aLoRA adapter), ``upload`` (push adapter weights to
+Hugging Face Hub, optionally packaging the adapter as an intrinsic with an
+``io.yaml`` configuration), and ``add-readme`` (use an LLM to auto-generate and
+upload an ``INTRINSIC_README.md`` for the trained adapter).
+"""
+
 import json
 import os
 import tempfile
@@ -22,7 +31,21 @@ def alora_train(
     max_length: int = typer.Option(1024, help="Max sequence length"),
     grad_accum: int = typer.Option(4, help="Gradient accumulation steps"),
 ):
-    """Train an aLoRA or LoRA model on your dataset."""
+    """Train an aLoRA or LoRA model on your dataset.
+
+    Args:
+        datafile: JSONL file with item/label pairs for training.
+        basemodel: Base model ID or path.
+        outfile: Path to save adapter weights.
+        promptfile: Path to load the prompt format file.
+        adapter: Adapter type; ``"alora"`` or ``"lora"``.
+        device: Device to train on: ``"auto"``, ``"cpu"``, ``"cuda"``, or ``"mps"``.
+        epochs: Number of training epochs.
+        learning_rate: Learning rate for the optimizer.
+        batch_size: Per-device training batch size.
+        max_length: Maximum sequence length.
+        grad_accum: Number of gradient accumulation steps.
+    """
     from cli.alora.train import train_model
 
     train_model(
@@ -56,7 +79,17 @@ def alora_upload(
         "processing if the model is invoked as an intrinsic.",
     ),
 ):
-    """Upload trained adapter to remote model registry."""
+    """Upload trained adapter to remote model registry.
+
+    Args:
+        weight_path: Path to saved adapter weights directory.
+        name: Destination model name on Hugging Face Hub
+            (e.g. ``"acme/carbchecker-alora"``).
+        intrinsic: If ``True``, the adapter implements an intrinsic and an
+            ``io.yaml`` file must also be provided.
+        io_yaml: Path to the ``io.yaml`` file configuring input/output processing
+            when the model is invoked as an intrinsic.
+    """
     from cli.alora.intrinsic_uploader import upload_intrinsic
     from cli.alora.upload import upload_model
 
@@ -105,7 +138,20 @@ def alora_add_readme(
         "processing if the model is invoked as an intrinsic.",
     ),
 ):
-    """Generate and upload an INTRINSIC_README.md for a trained adapter."""
+    """Generate and upload an INTRINSIC_README.md for a trained adapter.
+
+    Args:
+        datafile: JSONL file with item/label pairs used to train the adapter.
+        basemodel: Base model ID or path.
+        promptfile: Path to the prompt format file, or ``None``.
+        name: Destination model name on Hugging Face Hub.
+        hints: Path to a file containing additional domain hints, or ``None``.
+        io_yaml: Path to the ``io.yaml`` intrinsic configuration file, or ``None``.
+
+    Raises:
+        OSError: If no Hugging Face authentication token is found.
+        SystemExit: If the user declines to upload the generated README.
+    """
     from huggingface_hub import HfFolder, create_repo, upload_file
 
     from cli.alora.readme_generator import generate_readme
diff --git a/cli/alora/intrinsic_uploader.py b/cli/alora/intrinsic_uploader.py
index 299e7dcc5..fe7c52a88 100644
--- a/cli/alora/intrinsic_uploader.py
+++ b/cli/alora/intrinsic_uploader.py
@@ -1,3 +1,12 @@
+"""Upload a trained adapter to Hugging Face Hub in the intrinsic directory layout.
+
+Creates or updates a private Hugging Face repository and uploads adapter weights
+into a ``<intrinsic_name>/<base_model>/<adapter_type>`` sub-directory, together with
+the required ``io.yaml`` configuration file. If an ``INTRINSIC_README.md`` exists in
+the weight directory it is also uploaded as the repository's root ``README.md``.
+Requires an authenticated Hugging Face token obtained via ``huggingface-cli login``.
+"""
+
 import os
 import shutil
 import tempfile
@@ -15,6 +24,36 @@ def upload_intrinsic(
     io_yaml: str,
     private: bool = True,
 ):
+    """Upload an adapter to Hugging Face Hub using the intrinsic directory layout.
+
+    Creates or updates a private Hugging Face repository and uploads adapter
+    weights into a ``<intrinsic_name>/<base_model>/<adapter_type>`` sub-directory,
+    together with the ``io.yaml`` configuration file. If an
+    ``INTRINSIC_README.md`` exists in the weight directory it is also uploaded
+    as the repository root ``README.md``.
+
+    Args:
+        weight_path (str): Local directory containing the adapter weights
+            (output of ``save_pretrained``).
+        model_name (str): Target Hugging Face repository name in
+            ``"<userid>/<intrinsic_name>"`` format (e.g. ``"acme/carbchecker-alora"``).
+        base_model (str): Base model ID or path (e.g.
+            ``"ibm-granite/granite-3.3-2b-instruct"``). Must contain at most
+            one ``"/"`` separator.
+        type (Literal["lora", "alora"]): Adapter type, used as the leaf
+            directory name in the repository layout.
+        io_yaml (str): Path to the ``io.yaml`` configuration file for
+            intrinsic input/output processing.
+        private (bool): Whether the repository should be private. Currently
+            only ``True`` is supported.
+
+    Raises:
+        AssertionError: If ``weight_path`` or ``io_yaml`` do not exist, if
+            ``private`` is ``False``, if ``base_model`` contains more than one
+            ``"/"`` separator, or if ``model_name`` does not contain exactly
+            one ``"/"`` separator.
+        OSError: If no Hugging Face authentication token is found.
+    """
     try:
         assert os.path.exists(weight_path)
         assert os.path.exists(io_yaml)
diff --git a/cli/alora/readme_generator.py b/cli/alora/readme_generator.py
index 0dd928ae6..de2643e20 100644
--- a/cli/alora/readme_generator.py
+++ b/cli/alora/readme_generator.py
@@ -1,3 +1,13 @@
+"""LLM-assisted generator for adapter intrinsic README files.
+
+Uses a ``MelleaSession`` with rejection sampling to derive README template variables
+from a JSONL training dataset — including a high-level description, the inferred
+Python argument list, and Jinja2-renderable sample rows. Validates the generated
+output with deterministic requirements (correct naming conventions, syntactically
+valid argument lists) before rendering the final ``INTRINSIC_README.md`` via a
+Jinja2 template.
+"""
+
 import ast
 import json
 import os
@@ -12,6 +22,18 @@
 
 
 class ReadmeTemplateVars(BaseModel):
+    """Pydantic model holding all variables required to render the intrinsic README template.
+
+    Attributes:
+        high_level_description (str): A 2-3 sentence description of what the intrinsic adapter does.
+        dataset_description (str): Brief description of the training dataset contents and format.
+        userid (str): HuggingFace user ID (the namespace portion of the model name).
+        intrinsic_name (str): Short snake_case identifier for the intrinsic (e.g. ``"carbchecker"``).
+        intrinsic_name_camelcase (str): CamelCase version of ``intrinsic_name`` (e.g. ``"CarbChecker"``).
+        arglist (str): Python function argument list with type hints (e.g. ``"description: str"``).
+        arglist_without_type_annotations (str): Argument list without type hints (e.g. ``"description"``).
+    """
+
     high_level_description: str
     dataset_description: str
     userid: str
@@ -119,8 +141,20 @@ def make_readme_jinja_dict(
     """Generate all template variables for the intrinsic README using an LLM.
 
     Loads the first five lines of the JSONL dataset, determines the input structure,
-    and uses m.instruct with deterministic requirements and rejection sampling to
+    and uses ``m.instruct`` with deterministic requirements and rejection sampling to
     generate README template variables.
+
+    Args:
+        m: Active ``MelleaSession`` to use for LLM generation.
+        dataset_path: Path to the JSONL training dataset file.
+        base_model: Base model ID or path used to train the adapter.
+        prompt_file: Path to the prompt format file (empty string if not provided).
+        name: Destination model name on Hugging Face Hub
+            (e.g. ``"acme/carbchecker-alora"``).
+        hints: Optional string of additional domain hints to include in the prompt.
+
+    Returns:
+        Dict of Jinja2 template variables for rendering the ``INTRINSIC_README.md``.
     """
     # Load first 5 lines of the dataset.
     samples = []
@@ -260,8 +294,19 @@ def generate_readme(
 ) -> str:
     """Generate an INTRINSIC_README.md file from the dataset and template.
 
-    Creates a MelleaSession, uses the LLM to generate template variables,
-    renders the Jinja template, and writes the result to output_path.
+    Creates a ``MelleaSession``, uses the LLM to generate template variables,
+    renders the Jinja template, and writes the result to ``output_path``.
+
+    Args:
+        dataset_path: Path to the JSONL training dataset file.
+        base_model: Base model ID or path used to train the adapter.
+        prompt_file: Path to the prompt format file, or ``None``.
+        output_path: Destination path for the generated README file.
+        name: Destination model name on Hugging Face Hub.
+        hints: Optional string of additional domain hints for the LLM.
+
+    Returns:
+        The path to the written output file (same as ``output_path``).
     """
     from jinja2 import Environment, FileSystemLoader
 
diff --git a/cli/alora/train.py b/cli/alora/train.py
index 408864cab..bda54ae39 100644
--- a/cli/alora/train.py
+++ b/cli/alora/train.py
@@ -1,3 +1,12 @@
+"""Fine-tune a causal language model to produce a LoRA or aLoRA adapter.
+
+Loads a JSONL dataset of ``item``/``label`` pairs, applies an 80/20 train/validation
+split, and trains using HuggingFace PEFT and TRL's ``SFTTrainer`` — saving the
+checkpoint with the lowest validation loss. Supports CUDA, MPS (macOS,
+PyTorch ≥ 2.8), and CPU device selection, and handles the
+``alora_invocation_tokens`` configuration required for aLoRA training.
+"""
+
 import json
 import os
 import sys
@@ -31,6 +40,21 @@
 
 
 def load_dataset_from_json(json_path, tokenizer, invocation_prompt):
+    """Load a JSONL dataset and format it for SFT training.
+
+    Reads ``item``/``label`` pairs from a JSONL file and builds a HuggingFace
+    ``Dataset`` with ``input`` and ``target`` columns. Each input is formatted as
+    ``"{item}\\nRequirement: <|end_of_text|>\\n{invocation_prompt}"``.
+
+    Args:
+        json_path: Path to the JSONL file containing ``item``/``label`` pairs.
+        tokenizer: HuggingFace tokenizer instance (currently unused, reserved for
+            future tokenization steps).
+        invocation_prompt: Invocation string appended to each input prompt.
+
+    Returns:
+        A HuggingFace ``Dataset`` with ``"input"`` and ``"target"`` string columns.
+    """
     data = []
     with open(json_path, encoding="utf-8") as f:
         for line in f:
@@ -50,6 +74,16 @@ def load_dataset_from_json(json_path, tokenizer, invocation_prompt):
 
 
 def formatting_prompts_func(example):
+    """Concatenate input and target columns for SFT prompt formatting.
+
+    Args:
+        example: A batch dict with ``"input"`` and ``"target"`` list fields, as
+            produced by HuggingFace ``Dataset.map`` in batched mode.
+
+    Returns:
+        A list of strings, each formed by concatenating the ``input`` and
+        ``target`` values for a single example in the batch.
+    """
     return [
         f"{example['input'][i]}{example['target'][i]}"
         for i in range(len(example["input"]))
@@ -57,10 +91,33 @@ def formatting_prompts_func(example):
 
 
 class SaveBestModelCallback(TrainerCallback):
+    """HuggingFace Trainer callback that saves the adapter at its best validation loss.
+
+    Attributes:
+        best_eval_loss (float): Lowest evaluation loss seen so far across all
+            evaluation steps. Initialised to ``float("inf")``.
+    """
+
     def __init__(self):
         self.best_eval_loss = float("inf")
 
     def on_evaluate(self, args, state, control, **kwargs):
+        """Save the adapter weights if the current evaluation loss is a new best.
+
+        Called automatically by the HuggingFace Trainer after each evaluation
+        step. Compares the current ``eval_loss`` from ``metrics`` against
+        ``best_eval_loss`` and, if lower, updates the stored best and saves the
+        model to ``args.output_dir``.
+
+        Args:
+            args: ``TrainingArguments`` instance with training configuration,
+                including ``output_dir``.
+            state: ``TrainerState`` instance with the current training state.
+            control: ``TrainerControl`` instance for controlling training flow.
+            **kwargs: Additional keyword arguments provided by the Trainer,
+                including ``"model"`` (the current PEFT model) and
+                ``"metrics"`` (a dict containing ``"eval_loss"``).
+        """
         model = kwargs["model"]
         metrics = kwargs["metrics"]
         eval_loss = metrics.get("eval_loss")
@@ -70,7 +127,21 @@ def on_evaluate(self, args, state, control, **kwargs):
 
 
 class SafeSaveTrainer(SFTTrainer):
+    """SFTTrainer subclass that always saves models with safe serialization enabled."""
+
     def save_model(self, output_dir: str | None = None, _internal_call: bool = False):
+        """Save the model and tokenizer with safe serialization always enabled.
+
+        Overrides ``SFTTrainer.save_model`` to call ``save_pretrained`` with
+        ``safe_serialization=True``, ensuring weights are saved in safetensors
+        format rather than the legacy pickle-based format.
+
+        Args:
+            output_dir (str | None): Directory to save the model into. If
+                ``None``, the trainer's configured ``output_dir`` is used.
+            _internal_call (bool): Internal flag passed through from the Trainer
+                base class; not used by this override.
+        """
         if self.model is not None:
             self.model.save_pretrained(output_dir, safe_serialization=True)
             if self.tokenizer is not None:
@@ -91,6 +162,35 @@ def train_model(
     max_length: int = 1024,
     grad_accum: int = 4,
 ):
+    """Fine-tune a causal language model to produce a LoRA or aLoRA adapter.
+
+    Loads and 80/20-splits the JSONL dataset, configures PEFT with the specified
+    adapter type, trains using ``SFTTrainer`` with a best-checkpoint callback, saves
+    the adapter weights, and removes the PEFT-generated ``README.md`` from the output
+    directory.
+
+    Args:
+        dataset_path: Path to the JSONL training dataset file.
+        base_model: Hugging Face model ID or local path to the base model.
+        output_file: Destination path for the trained adapter weights.
+        prompt_file: Optional path to a JSON config file with an
+            ``"invocation_prompt"`` key. Defaults to the aLoRA invocation token.
+        adapter: Adapter type to train -- ``"alora"`` (default) or ``"lora"``.
+        device: Device selection -- ``"auto"``, ``"cpu"``, ``"cuda"``, or
+            ``"mps"``.
+        run_name: Name of the training run (passed to ``SFTConfig``).
+        epochs: Number of training epochs.
+        learning_rate: Optimizer learning rate.
+        batch_size: Per-device training batch size.
+        max_length: Maximum token sequence length.
+        grad_accum: Gradient accumulation steps.
+
+    Raises:
+        ValueError: If ``device`` is not one of ``"auto"``, ``"cpu"``,
+            ``"cuda"``, or ``"mps"``.
+        RuntimeError: If the GPU has insufficient VRAM to load the model
+            (wraps ``NotImplementedError`` for meta tensor errors).
+    """
     if prompt_file:
         # load the configurable variable invocation_prompt
         with open(prompt_file) as f:
diff --git a/cli/alora/upload.py b/cli/alora/upload.py
index a048778ee..53425b582 100644
--- a/cli/alora/upload.py
+++ b/cli/alora/upload.py
@@ -1,3 +1,11 @@
+"""Upload a trained LoRA or aLoRA adapter to Hugging Face Hub.
+
+Creates the target repository if it does not already exist and pushes the entire
+adapter weights directory (output of ``save_pretrained``) to the repository root.
+Requires an authenticated Hugging Face token set via the ``HF_TOKEN`` environment
+variable or ``huggingface-cli login``.
+"""
+
 import os
 
 from huggingface_hub import HfApi, HfFolder, create_repo, upload_folder
@@ -11,8 +19,10 @@ def upload_model(weight_path: str, model_name: str, private: bool = True):
         model_name (str): Target model repo name (e.g., "acme/carbchecker-alora").
         private (bool): Whether the repo should be private. Default: True.
 
-    Requires:
-        - `HF_TOKEN` set in environment or via `huggingface-cli login`.
+    Raises:
+        FileNotFoundError: If ``weight_path`` does not exist on disk.
+        OSError: If no Hugging Face authentication token is found.
+        RuntimeError: If creating or accessing the Hugging Face repository fails.
     """
     if not os.path.exists(weight_path):
         raise FileNotFoundError(f"Adapter directory not found: {weight_path}")
diff --git a/cli/decompose/__init__.py b/cli/decompose/__init__.py
index b0d5d8402..76d37d5bf 100644
--- a/cli/decompose/__init__.py
+++ b/cli/decompose/__init__.py
@@ -1,3 +1,12 @@
+"""Typer sub-application for the ``m decompose`` command group.
+
+Exposes a single ``run`` command that takes a task prompt (from a file or
+interactively), calls the LLM-based decomposition pipeline to break it into
+structured subtasks with constraints and dependency ordering, and writes the results
+as a JSON data file and a ready-to-run Python script. Invoke via
+``m decompose run --help`` for full option documentation.
+"""
+
 import typer
 
 # from .inference import app as inference_app
diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index a6b54e833..11f08946b 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -1,4 +1,13 @@
 # decompose/decompose.py
+"""Implementation of the ``m decompose run`` CLI command.
+
+Accepts a task prompt (from a text file or interactive input), calls the multi-step
+LLM decomposition pipeline to produce a structured list of subtasks each with
+constraints and inter-subtask dependencies, then validates and topologically reorders
+the subtasks before writing a JSON result file and a rendered Python script to the
+specified output directory.
+"""
+
 import json
 import keyword
 import re
@@ -15,6 +24,16 @@
 
 
 class DecompVersion(StrEnum):
+    """Available versions of the decomposition pipeline template.
+
+    Newer versions must be declared last to ensure ``latest`` always resolves to
+    the most recent template.
+
+    Attributes:
+        latest (str): Sentinel value that resolves to the last declared version.
+        v1 (str): Version 1 of the decomposition pipeline template.
+    """
+
     latest = "latest"
     v1 = "v1"
     v2 = "v2"
@@ -178,9 +197,7 @@ def run(
         ),
     ] = LogMode.demo,
 ) -> None:
-    configure_logging(log_mode)
-    logger = get_logger("m_decompose.cli")
-
+    """Runs the decomposition pipeline."""
     try:
         from jinja2 import Environment, FileSystemLoader
 
diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index 500b3d82e..f9f451487 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -1,4 +1,13 @@
 # decompose/pipeline.py
+"""Core decomposition pipeline that breaks a task prompt into structured subtasks.
+
+Provides the ``decompose()`` function, which orchestrates a series of LLM calls
+(subtask listing, constraint extraction, validation strategy selection, prompt
+generation, and constraint assignment) to produce a ``DecompPipelineResult``
+containing subtasks, per-subtask prompts, constraints, and dependency information.
+Supports Ollama, OpenAI-compatible, and RITS inference backends.
+"""
+
 import re
 from enum import StrEnum
 from typing import Literal, NotRequired, TypedDict
@@ -29,6 +38,14 @@ class ConstraintValData(TypedDict):
 
 
 class ConstraintResult(TypedDict):
+    """A single constraint paired with its assigned validation strategy.
+
+    Attributes:
+        constraint (str): Natural-language description of the constraint.
+        validation_strategy (str): Strategy assigned to validate the constraint;
+            either ``"code"`` or ``"llm"``.
+    """
+
     constraint: str
     val_strategy: Literal["code", "llm"]
     val_fn: str | None
@@ -36,6 +53,24 @@ class ConstraintResult(TypedDict):
 
 
 class DecompSubtasksResult(TypedDict):
+    """The full structured result for one decomposed subtask.
+
+    Attributes:
+        subtask (str): Natural-language description of the subtask.
+        tag (str): Short identifier for the subtask, used as a variable name
+            in Jinja2 templates and dependency references.
+        constraints (list[ConstraintResult]): List of constraints assigned to
+            this subtask, each with a validation strategy.
+        prompt_template (str): Jinja2 prompt template string for this subtask,
+            with ``{{ variable }}`` placeholders for inputs and prior subtask results.
+        input_vars_required (list[str]): Ordered list of user-provided input
+            variable names referenced in ``prompt_template``.
+        depends_on (list[str]): Ordered list of subtask tags whose results are
+            referenced in ``prompt_template``.
+        generated_response (str): Optional field holding the model response
+            produced during execution; not present until the subtask runs.
+    """
+
     subtask: str
     tag: str
     constraints: list[ConstraintResult]
@@ -47,6 +82,21 @@ class DecompSubtasksResult(TypedDict):
 
 
 class DecompPipelineResult(TypedDict):
+    """The complete output of a decomposition pipeline run.
+
+    Attributes:
+        original_task_prompt (str): The raw task prompt provided by the user.
+        subtask_list (list[str]): Ordered list of subtask descriptions produced
+            by the subtask-listing stage.
+        identified_constraints (list[ConstraintResult]): Constraints extracted
+            from the original task prompt, each with a validation strategy.
+        subtasks (list[DecompSubtasksResult]): Fully annotated subtask objects
+            with prompt templates, constraint assignments, and dependency
+            information.
+        final_response (str): Optional field holding the aggregated final
+            response produced during execution; not present until the pipeline runs.
+    """
+
     original_task_prompt: str
     subtask_list: list[str]
     identified_constraints: list[ConstraintResult]
@@ -55,6 +105,14 @@ class DecompPipelineResult(TypedDict):
 
 
 class DecompBackend(StrEnum):
+    """Inference backends supported by the decomposition pipeline.
+
+    Attributes:
+        ollama (str): Local Ollama inference server backend.
+        openai (str): Any OpenAI-compatible HTTP endpoint backend.
+        rits (str): IBM RITS (Remote Inference and Training Service) backend.
+    """
+
     ollama = "ollama"
     openai = "openai"
     rits = "rits"
@@ -363,6 +421,34 @@ def decompose(
     backend_api_key: str | None = None,
     log_mode: LogMode = LogMode.demo,
 ) -> DecompPipelineResult:
+    """Break a task prompt into structured subtasks using a multi-step LLM pipeline.
+
+    Orchestrates a series of sequential LLM calls to produce a fully structured
+    decomposition: subtask listing, constraint extraction, validation strategy
+    selection, prompt template generation, and per-subtask constraint assignment.
+    The number of calls depends on the number of constraints extracted.
+
+    Args:
+        task_prompt: Natural-language description of the task to decompose.
+        user_input_variable: Optional list of variable names that will be
+            templated into generated prompts as user-provided input data. Pass
+            ``None`` or an empty list if the task requires no input variables.
+        model_id: Model name or ID used for all pipeline steps.
+        backend: Inference backend -- ``"ollama"``, ``"openai"``, or ``"rits"``.
+        backend_req_timeout: Request timeout in seconds for model inference calls.
+        backend_endpoint: Base URL of the OpenAI-compatible endpoint. Required
+            when ``backend`` is ``"openai"`` or ``"rits"``.
+        backend_api_key: API key for the configured endpoint. Required when
+            ``backend`` is ``"openai"`` or ``"rits"``.
+        log_mode: Mode of logging detail to emit during pipeline execution.
+
+    Returns:
+        A ``DecompPipelineResult`` containing the original prompt, subtask list,
+        identified constraints, and fully annotated subtask objects with prompt
+        templates, constraint assignments, and dependency information.
+    """
+
+
     configure_logging(log_mode)
     logger = get_logger("m_decompose.pipeline")
     log_section(logger, "m_decompose pipeline")
diff --git a/cli/decompose/utils.py b/cli/decompose/utils.py
index cc879bc1d..e170c447a 100644
--- a/cli/decompose/utils.py
+++ b/cli/decompose/utils.py
@@ -1,4 +1,25 @@
+"""Filename validation utilities for the decompose pipeline.
+
+Provides ``validate_filename``, which checks that a candidate output filename
+contains only safe characters (alphanumeric, underscores, hyphens, periods, and
+spaces) and falls within a reasonable length limit. Used to prevent path-traversal
+or shell-injection issues when writing decomposition output files.
+"""
+
+
 def validate_filename(candidate_str: str) -> bool:
+    """Check whether a string is safe to use as an output filename.
+
+    Permits alphanumeric characters, underscores, hyphens, periods, and spaces;
+    the first character must be alphanumeric, an underscore, or a period.
+    Also enforces a maximum length of 250 characters.
+
+    Args:
+        candidate_str: The filename candidate to validate.
+
+    Returns:
+        ``True`` if the string is a safe, valid filename; ``False`` otherwise.
+    """
     import re
 
     # Allows alphanumeric characters, underscore, hyphen, period, and space.
diff --git a/cli/eval/__init__.py b/cli/eval/__init__.py
index 7f625a26d..cb57f3230 100644
--- a/cli/eval/__init__.py
+++ b/cli/eval/__init__.py
@@ -1 +1,8 @@
-"""CLI for test-based evaluation"""
+"""CLI package for test-based LLM evaluation.
+
+Provides the ``m eval`` command group, which orchestrates running a generator model
+against structured test files and scoring each response with a judge model. Each test
+file specifies a set of instructions and input examples; results — including per-input
+pass/fail judgements and cumulative pass rates — are written to JSON or JSONL for
+downstream analysis.
+"""
diff --git a/cli/eval/commands.py b/cli/eval/commands.py
index 17ff56be4..ec778a234 100644
--- a/cli/eval/commands.py
+++ b/cli/eval/commands.py
@@ -31,6 +31,25 @@ def eval_run(
     ),
     continue_on_error: bool = typer.Option(True, "--continue-on-error"),
 ):
+    """Run LLM-as-a-judge evaluation on one or more test files.
+
+    Loads test cases from JSON/JSONL files, generates candidate responses using
+    the specified generation backend, scores them with a judge model, and writes
+    aggregated results to a file.
+
+    Args:
+        test_files: Paths to JSON/JSONL files containing test cases.
+        backend: Generation backend name.
+        model: Generation model name, or ``None`` for the default.
+        max_gen_tokens: Maximum tokens to generate for each response.
+        judge_backend: Judge backend name, or ``None`` to reuse the generation
+            backend.
+        judge_model: Judge model name, or ``None`` for the default.
+        max_judge_tokens: Maximum tokens for the judge model's output.
+        output_path: File path prefix for the results file.
+        output_format: Output format -- ``"json"`` or ``"jsonl"``.
+        continue_on_error: If ``True``, skip failed tests instead of raising.
+    """
     from cli.eval.runner import run_evaluations
 
     run_evaluations(
diff --git a/cli/eval/runner.py b/cli/eval/runner.py
index 3aface948..9fdf55ff3 100644
--- a/cli/eval/runner.py
+++ b/cli/eval/runner.py
@@ -1,3 +1,11 @@
+"""Execution engine for the test-based LLM evaluation pipeline.
+
+Loads JSON test files into ``TestBasedEval`` objects and, for each test, runs a
+generator model to produce responses and a separate judge model to score them. Parses
+the judge output for a ``{"score": ..., "justification": ...}`` JSON fragment,
+aggregates per-input pass/fail counts, and saves the full results to JSON or JSONL.
+"""
+
 import json
 import re
 from pathlib import Path
@@ -16,7 +24,16 @@
 
 
 class InputEvalResult:
-    """Store results of a single input evaluation (within a unit test)."""
+    """Store results of a single input evaluation (within a unit test).
+
+    Args:
+        input_text (str): The raw input text sent to the generation model.
+        model_output (str): The text response produced by the generation model.
+        validation_passed (bool): Whether the judge scored this response as passing.
+        score (int): Numeric score assigned by the judge (``1`` for pass, ``0`` for fail).
+        validation_reason (str): Justification text returned by the judge model.
+
+    """
 
     def __init__(
         self,
@@ -33,6 +50,12 @@ def __init__(
         self.validation_reason = validation_reason
 
     def to_dict(self):
+        """Serialise the input evaluation result to a plain dictionary.
+
+        Returns:
+            dict: A dictionary with keys ``"input"``, ``"model_output"``,
+            ``"passed"``, ``"score"``, and ``"justification"``.
+        """
         return {
             "input": self.input_text,
             "model_output": self.model_output,
@@ -43,13 +66,34 @@ def to_dict(self):
 
 
 class TestEvalResult:
-    """Store results of a single test evaluation."""
+    """Store results of a single test evaluation.
+
+    Args:
+        test_eval (TestBasedEval): The unit test specification containing
+            the test ID, name, instructions, inputs, and expected targets.
+        input_results (list[InputEvalResult]): Per-input evaluation outcomes
+            produced by running the generation and judge models.
+
+    Attributes:
+        passed_count (int): Number of inputs that received a passing score.
+        total_count (int): Total number of inputs evaluated.
+        pass_rate (float): Fraction of inputs that passed (``passed_count / total_count``).
+    """
 
     def __init__(self, test_eval: TestBasedEval, input_results: list[InputEvalResult]):
         self.test_eval = test_eval
         self.input_results = input_results
 
     def to_dict(self):
+        """Serialise the test evaluation result to a plain dictionary.
+
+        Returns:
+            dict: A dictionary containing the test metadata (``"test_id"``,
+            ``"source"``, ``"name"``, ``"instructions"``), per-input results
+            under ``"input_results"``, expected targets under
+            ``"expected_targets"``, and summary counts (``"passed"``,
+            ``"total_count"``, ``"pass_rate"``).
+        """
         return {
             "test_id": self.test_eval.test_id,
             "source": self.test_eval.source,
@@ -78,7 +122,24 @@ def pass_rate(self) -> float:
 def create_session(
     backend: str, model: str | None, max_tokens: int | None
 ) -> mellea.MelleaSession:
-    """Create a mellea session with the specified backend and model."""
+    """Create a mellea session with the specified backend and model.
+
+    Args:
+        backend: Backend name: ``"ollama"``, ``"openai"``, ``"hf"``,
+            ``"watsonx"``, or ``"litellm"``.
+        model: Model ID or ``ModelIdentifier`` attribute name, or ``None``
+            to use the default model.
+        max_tokens: Maximum number of tokens to generate, or ``None`` for
+            the backend default.
+
+    Returns:
+        A configured ``MelleaSession`` ready for generation.
+
+    Raises:
+        ValueError: If ``backend`` is not one of the supported backend names.
+        Exception: Re-raised from backend or session construction if
+            initialisation fails.
+    """
     model_id = None
     if model:
         if model.isupper() or "_" in model:
@@ -165,14 +226,25 @@ def run_evaluations(
     output_format: str,
     continue_on_error: bool,
 ):
-    """Run all 'unit test' evaluations
-
-    Each test file should be a json containing:
-        "id": an id that is unique to this test file
-        "source": the origin for the evaluation prompts, else "N/A"
-        "name": an instruction-following attribute that the user intends to evaluate through this test
-        "instructions": a set (in string form) of requirements which the generation should follow; the judge will evaluate if these are satisfied
-        "examples": a list of entries containing an input_id, an input(prompt), and a list of targets. Each input may have multiple (or no) targets; inputs and targets are in messages format.
+    """Run all unit-test evaluations against a generation model and a judge model.
+
+    Args:
+        test_files: List of paths to JSON test files. Each file should contain
+            ``"id"``, ``"source"``, ``"name"``, ``"instructions"``, and
+            ``"examples"`` fields.
+        backend: Backend name for the generation model.
+        model: Model ID for the generator, or ``None`` for the default.
+        max_gen_tokens: Maximum tokens for the generator, or ``None`` for the
+            backend default.
+        judge_backend: Backend name for the judge model, or ``None`` to reuse
+            the generation backend.
+        judge_model: Model ID for the judge, or ``None`` for the default.
+        max_judge_tokens: Maximum tokens for the judge, or ``None`` for the
+            backend default.
+        output_path: File path prefix for saving results.
+        output_format: Output format: ``"json"`` or ``"jsonl"``.
+        continue_on_error: If ``True``, skip failed test evaluations instead of
+            raising.
     """
     all_test_evals: list[TestBasedEval] = []
 
@@ -240,9 +312,18 @@ def execute_test_eval(
     generation_session: mellea.MelleaSession,
     judge_session: mellea.MelleaSession,
 ) -> TestEvalResult:
-    """Execute a single test evaluation
-    For each input in the test, generate a response using generation_session
-    Then, after all inputs are processed, validate using judge_session.
+    """Execute a single test evaluation.
+
+    For each input in the test, generates a response using ``generation_session``,
+    then validates using ``judge_session``.
+
+    Args:
+        test_eval: The ``TestBasedEval`` object containing inputs and targets.
+        generation_session: ``MelleaSession`` used to produce model responses.
+        judge_session: ``MelleaSession`` used to score model responses.
+
+    Returns:
+        A ``TestEvalResult`` with per-input pass/fail outcomes.
     """
     input_results = []
 
@@ -286,6 +367,16 @@ def execute_test_eval(
 
 
 def parse_judge_output(judge_output: str):
+    """Parse score and justification from a judge model's output string.
+
+    Args:
+        judge_output: Raw text output from the judge model.
+
+    Returns:
+        A ``(score, justification)`` tuple where ``score`` is an integer (or
+        ``None`` if parsing failed) and ``justification`` is an explanatory
+        string.
+    """
     try:
         json_match = re.search(r'\{[^}]*"score"[^}]*\}', judge_output, re.DOTALL)
         if json_match:
@@ -307,6 +398,14 @@ def parse_judge_output(judge_output: str):
 
 
 def save_results(results: list[TestEvalResult], output_path: str, output_format: str):
+    """Persist evaluation results to disk in JSON or JSONL format.
+
+    Args:
+        results: List of ``TestEvalResult`` objects to serialise.
+        output_path: Destination file path (extension may be appended if it
+            does not match ``output_format``).
+        output_format: Format string: ``"json"`` or ``"jsonl"``.
+    """
     output_path_obj = Path(output_path)
     if output_path_obj.suffix != f".{output_format}":
         output_path_obj = Path(f"{output_path}.{output_format}")
@@ -339,6 +438,11 @@ def save_results(results: list[TestEvalResult], output_path: str, output_format:
 
 
 def summary_stats(results: list[TestEvalResult]):
+    """Print aggregated pass-rate statistics for a set of evaluation results.
+
+    Args:
+        results: List of ``TestEvalResult`` objects to summarise.
+    """
     total_inputs = sum(r.total_count for r in results)
     passed_inputs = sum(r.passed_count for r in results)
     overall_pass_rate = passed_inputs / total_inputs if total_inputs > 0 else 0.0
diff --git a/cli/m.py b/cli/m.py
index ab39440eb..4cdb4f7fa 100644
--- a/cli/m.py
+++ b/cli/m.py
@@ -1,4 +1,10 @@
-"""Entrypoint for the M CLI."""
+"""Entrypoint for the ``m`` command-line tool.
+
+Wires together all CLI sub-applications into a single Typer root command: ``m serve``
+(start a model-serving endpoint), ``m alora`` (train and upload LoRA/aLoRA adapters),
+``m decompose`` (LLM-driven task decomposition), and ``m eval`` (test-based model
+evaluation). Run ``m --help`` to see all available sub-commands.
+"""
 
 import typer
 
@@ -13,7 +19,12 @@
 # Add a default callback for handling the default cli description.
 @cli.callback()
 def callback() -> None:
-    """Perform M Tasks."""
+    """Mellea command-line tool for LLM-powered workflows.
+
+    Provides sub-commands for serving models (``m serve``), training and uploading
+    adapters (``m alora``), decomposing tasks into subtasks (``m decompose``), and
+    running test-based evaluation pipelines (``m eval``).
+    """
 
 
 # Typer assumes that all commands are in the same file/module.
diff --git a/docs/docs/docs.json b/docs/docs/docs.json
index 82a400b04..d8cc91963 100644
--- a/docs/docs/docs.json
+++ b/docs/docs/docs.json
@@ -155,6 +155,7 @@
                 "group": "backends",
                 "pages": [
                   "api/mellea/backends/backend",
+                  "api/mellea/backends/backends",
                   "api/mellea/backends/bedrock",
                   "api/mellea/backends/cache",
                   "api/mellea/backends/dummy",
@@ -183,6 +184,7 @@
                 "pages": [
                   "api/mellea/core/backend",
                   "api/mellea/core/base",
+                  "api/mellea/core/core",
                   "api/mellea/core/formatter",
                   "api/mellea/core/requirement",
                   "api/mellea/core/sampling",
@@ -193,6 +195,7 @@
                 "group": "formatters",
                 "pages": [
                   "api/mellea/formatters/chat_formatter",
+                  "api/mellea/formatters/formatters",
                   "api/mellea/formatters/template_formatter",
                   {
                     "group": "granite",
@@ -257,16 +260,42 @@
                 "group": "helpers",
                 "pages": [
                   "api/mellea/helpers/async_helpers",
+                  "api/mellea/helpers/helpers",
                   "api/mellea/helpers/openai_compatible_helpers",
                   "api/mellea/helpers/server_type"
                 ]
               },
+              {
+                "group": "plugins",
+                "pages": [
+                  "api/mellea/plugins/base",
+                  "api/mellea/plugins/context",
+                  "api/mellea/plugins/decorators",
+                  "api/mellea/plugins/manager",
+                  "api/mellea/plugins/plugins",
+                  "api/mellea/plugins/pluginset",
+                  "api/mellea/plugins/registry",
+                  "api/mellea/plugins/types",
+                  {
+                    "group": "hooks",
+                    "pages": [
+                      "api/mellea/plugins/hooks/component",
+                      "api/mellea/plugins/hooks/generation",
+                      "api/mellea/plugins/hooks/sampling",
+                      "api/mellea/plugins/hooks/session",
+                      "api/mellea/plugins/hooks/tool",
+                      "api/mellea/plugins/hooks/validation"
+                    ]
+                  }
+                ]
+              },
               {
                 "group": "stdlib",
                 "pages": [
                   "api/mellea/stdlib/context",
                   "api/mellea/stdlib/functional",
                   "api/mellea/stdlib/session",
+                  "api/mellea/stdlib/stdlib",
                   {
                     "group": "components",
                     "pages": [
@@ -342,6 +371,7 @@
                 "group": "telemetry",
                 "pages": [
                   "api/mellea/telemetry/backend_instrumentation",
+                  "api/mellea/telemetry/logging",
                   "api/mellea/telemetry/metrics",
                   "api/mellea/telemetry/telemetry",
                   "api/mellea/telemetry/tracing"
@@ -366,6 +396,7 @@
               {
                 "group": "decompose",
                 "pages": [
+                  "api/cli/decompose/__init__",
                   "api/cli/decompose/decompose",
                   "api/cli/decompose/pipeline",
                   "api/cli/decompose/utils"
@@ -375,6 +406,7 @@
                 "group": "eval",
                 "pages": [
                   "api/cli/eval/commands",
+                  "api/cli/eval/eval",
                   "api/cli/eval/runner"
                 ]
               }
@@ -420,26 +452,89 @@
     "thumbsRating": true
   },
   "redirects": [
-    { "source": "/overview/overview", "destination": "/getting-started/quickstart" },
-    { "source": "/overview/mellea-welcome", "destination": "/concepts/generative-programming" },
-    { "source": "/overview/generative-programming", "destination": "/concepts/generative-programming" },
-    { "source": "/overview/architecture", "destination": "/guide/backends-and-configuration" },
-    { "source": "/core-concept/instruct-validate-repair", "destination": "/concepts/instruct-validate-repair" },
-    { "source": "/core-concept/requirements", "destination": "/concepts/requirements-system" },
-    { "source": "/core-concept/generative-slots", "destination": "/guide/generative-functions" },
-    { "source": "/core-concept/mobjects", "destination": "/concepts/mobjects-and-mify" },
-    { "source": "/core-concept/agents", "destination": "/guide/tools-and-agents" },
-    { "source": "/core-concept/context-management", "destination": "/how-to/use-context-and-sessions" },
-    { "source": "/core-concept/alora", "destination": "/advanced/lora-and-alora-adapters" },
-    { "source": "/core-concept/tuning", "destination": "/advanced/lora-and-alora-adapters" },
-    { "source": "/core-concept/modeloptions", "destination": "/how-to/configure-model-options" },
-    { "source": "/core-concept/interoperability", "destination": "/integrations/mcp" },
-    { "source": "/integrations/mcp-and-m-serve", "destination": "/integrations/mcp" },
-    { "source": "/core-concept/adapters", "destination": "/guide/tools-and-agents" },
-    { "source": "/core-concept/contribution-guide", "destination": "/guide/CONTRIBUTING" },
-    { "source": "/core-concept/prompt-engineering", "destination": "/advanced/mellea-core-internals" },
-    { "source": "/integrations/bedrock-and-watsonx", "destination": "/integrations/bedrock" },
-    { "source": "/integrations/huggingface-and-vllm", "destination": "/integrations/huggingface" },
-    { "source": "/integrations/langchain-and-smolagents", "destination": "/integrations/langchain" }
+    {
+      "source": "/overview/overview",
+      "destination": "/getting-started/quickstart"
+    },
+    {
+      "source": "/overview/mellea-welcome",
+      "destination": "/concepts/generative-programming"
+    },
+    {
+      "source": "/overview/generative-programming",
+      "destination": "/concepts/generative-programming"
+    },
+    {
+      "source": "/overview/architecture",
+      "destination": "/guide/backends-and-configuration"
+    },
+    {
+      "source": "/core-concept/instruct-validate-repair",
+      "destination": "/concepts/instruct-validate-repair"
+    },
+    {
+      "source": "/core-concept/requirements",
+      "destination": "/concepts/requirements-system"
+    },
+    {
+      "source": "/core-concept/generative-slots",
+      "destination": "/guide/generative-functions"
+    },
+    {
+      "source": "/core-concept/mobjects",
+      "destination": "/concepts/mobjects-and-mify"
+    },
+    {
+      "source": "/core-concept/agents",
+      "destination": "/guide/tools-and-agents"
+    },
+    {
+      "source": "/core-concept/context-management",
+      "destination": "/how-to/use-context-and-sessions"
+    },
+    {
+      "source": "/core-concept/alora",
+      "destination": "/advanced/lora-and-alora-adapters"
+    },
+    {
+      "source": "/core-concept/tuning",
+      "destination": "/advanced/lora-and-alora-adapters"
+    },
+    {
+      "source": "/core-concept/modeloptions",
+      "destination": "/how-to/configure-model-options"
+    },
+    {
+      "source": "/core-concept/interoperability",
+      "destination": "/integrations/mcp"
+    },
+    {
+      "source": "/integrations/mcp-and-m-serve",
+      "destination": "/integrations/mcp"
+    },
+    {
+      "source": "/core-concept/adapters",
+      "destination": "/guide/tools-and-agents"
+    },
+    {
+      "source": "/core-concept/contribution-guide",
+      "destination": "/guide/CONTRIBUTING"
+    },
+    {
+      "source": "/core-concept/prompt-engineering",
+      "destination": "/advanced/mellea-core-internals"
+    },
+    {
+      "source": "/integrations/bedrock-and-watsonx",
+      "destination": "/integrations/bedrock"
+    },
+    {
+      "source": "/integrations/huggingface-and-vllm",
+      "destination": "/integrations/huggingface"
+    },
+    {
+      "source": "/integrations/langchain-and-smolagents",
+      "destination": "/integrations/langchain"
+    }
   ]
 }
diff --git a/docs/docs/guide/CONTRIBUTING.md b/docs/docs/guide/CONTRIBUTING.md
index 99473f92f..3274cef65 100644
--- a/docs/docs/guide/CONTRIBUTING.md
+++ b/docs/docs/guide/CONTRIBUTING.md
@@ -305,6 +305,8 @@ No version tags on individual features yet — incomplete tagging misleads reade
 
 Mellea uses **Google-style docstrings**. These feed the auto-generated API reference.
 
+**Functions** — `Args:` and `Returns:` on the function docstring:
+
 ```python
 def my_function(arg: str) -> bool:
     """One-line summary.
@@ -320,6 +322,30 @@ def my_function(arg: str) -> bool:
     """
 ```
 
+**Classes** — `Args:` on the *class* docstring only; `__init__` gets a single summary sentence.
+The docs pipeline skips `__init__`, so `Args:` must live on the class to appear in the API reference:
+
+```python
+class MyComponent(Component[str]):
+    """A component that does something useful.
+
+    Args:
+        name (str): Human-readable label for this component.
+        max_tokens (int): Upper bound on generated tokens.
+    """
+
+    def __init__(self, name: str, max_tokens: int = 256) -> None:
+        """Initialize MyComponent with a name and token budget."""
+        self.name = name
+        self.max_tokens = max_tokens
+```
+
+Add `Attributes:` only when a stored value differs in type or behaviour from the constructor
+input (e.g. a `str` wrapped into a `CBlock`, or a class-level constant).
+Pure-echo entries that repeat `Args:` verbatim should be omitted.
+
+See [CONTRIBUTING.md](../../CONTRIBUTING.md) for the full validation workflow.
+
 ---
 
 ## Local preview
diff --git a/mellea/backends/__init__.py b/mellea/backends/__init__.py
index 9dd455184..65e8d1e63 100644
--- a/mellea/backends/__init__.py
+++ b/mellea/backends/__init__.py
@@ -1,4 +1,12 @@
-"""Backend implementations."""
+"""Backend implementations for the mellea inference layer.
+
+This package exposes the concrete machinery for connecting mellea to language model
+servers. It bundles ``FormatterBackend`` (a prompt-engineering base class for legacy
+models), ``ModelIdentifier`` (portable cross-platform model names), ``ModelOption``
+(generation parameters such as token limits), ``SimpleLRUCache`` (KV-cache
+management), and ``MelleaTool`` / ``tool`` (LLM tool definitions). Reach for this
+package when configuring a backend, declaring tools, or tuning inference options.
+"""
 
 # Import from core for ergonomics.
 from ..core import Backend, BaseModelSubclass
diff --git a/mellea/backends/adapters/adapter.py b/mellea/backends/adapters/adapter.py
index ead24799c..80ac85837 100644
--- a/mellea/backends/adapters/adapter.py
+++ b/mellea/backends/adapters/adapter.py
@@ -1,4 +1,12 @@
-"""Module for adapters to backends."""
+"""Adapter classes for adding fine-tuned modules to inference backends.
+
+Defines the abstract ``Adapter`` base class and its concrete subclasses
+``LocalHFAdapter`` (for locally loaded HuggingFace models) and ``IntrinsicAdapter``
+(for adapters whose metadata is stored in Mellea's intrinsic catalog). Also provides
+``get_adapter_for_intrinsic`` for resolving the right adapter class given an
+intrinsic name, and ``AdapterMixin`` for backends that support runtime adapter
+loading and unloading.
+"""
 
 import abc
 import pathlib
@@ -14,18 +22,27 @@
 
 
 class Adapter(abc.ABC):
-    """An adapter that can be added to a single backend."""
+    """An adapter that can be added to a single backend.
 
-    def __init__(self, name: str, adapter_type: AdapterType):
-        """An adapter that can be added to a backend.
+    An adapter can only be registered with one backend at a time. Use
+    ``adapter.qualified_name`` when referencing the adapter after adding it.
 
-        Note: An adapter can only be added to a single backend.
+    Args:
+        name (str): Human-readable name of the adapter.
+        adapter_type (AdapterType): Enum describing the adapter type (e.g.
+            ``AdapterType.LORA`` or ``AdapterType.ALORA``).
+
+    Attributes:
+        qualified_name (str): Unique name used for loading and lookup; formed
+            as ``"<name>_<adapter_type.value>"``.
+        backend (Backend | None): The backend this adapter has been added to,
+            or ``None`` if not yet added.
+        path (str | None): Filesystem path to the adapter weights; set when
+            the adapter is added to a backend.
+    """
 
-        Args:
-            name: name of the adapter; when referencing this adapter, use
-                adapter.qualified_name
-            adapter_type: enum describing what type of adapter it is (ie LORA / ALORA)
-        """
+    def __init__(self, name: str, adapter_type: AdapterType):
+        """Initialize Adapter with a name and adapter type."""
         self.name = name
         self.adapter_type = adapter_type
         self.qualified_name = name + "_" + adapter_type.value
@@ -39,14 +56,22 @@ def __init__(self, name: str, adapter_type: AdapterType):
 
 
 class LocalHFAdapter(Adapter):
-    """Adapter for LocalHFBackends."""
+    """Abstract adapter subclass for locally loaded HuggingFace model backends.
+
+    Subclasses must implement ``get_local_hf_path`` to return the filesystem path
+    from which adapter weights should be loaded given a base model name.
+    """
 
     @abc.abstractmethod
     def get_local_hf_path(self, base_model_name: str) -> str:
-        """Returns the path needed to load the adapter.
+        """Return the local filesystem path from which adapter weights should be loaded.
 
         Args:
-            base_model_name: the base model; typically the last part of the Hugging Face model id like "granite-4.0-micro"
+            base_model_name (str): The base model name; typically the last component
+                of the HuggingFace model ID (e.g. ``"granite-4.0-micro"``).
+
+        Returns:
+            str: Filesystem path to the adapter weights directory.
         """
         ...
 
@@ -55,11 +80,33 @@ class IntrinsicAdapter(LocalHFAdapter):
     """Base class for adapters that implement intrinsics.
 
     Subtype of :class:`Adapter` for models that:
+
     * implement intrinsic functions
     * are packaged as LoRA or aLoRA adapters on top of a base model
     * use the shared model loading code in ``mellea.formatters.granite.intrinsics``
     * use the shared input and output processing code in
       ``mellea.formatters.granite.intrinsics``
+
+    Args:
+        intrinsic_name (str): Name of the intrinsic (e.g. ``"answerability"``); the
+            adapter's ``qualified_name`` will be derived from this.
+        adapter_type (AdapterType): Enum describing the adapter type; defaults to
+            ``AdapterType.ALORA``.
+        config_file (str | pathlib.Path | None): Path to a YAML config file defining
+            the intrinsic's I/O transformations; mutually exclusive with
+            ``config_dict``.
+        config_dict (dict | None): Dict defining the intrinsic's I/O transformations;
+            mutually exclusive with ``config_file``.
+        base_model_name (str | None): Base model name used to look up the I/O
+            processing config when neither ``config_file`` nor ``config_dict`` are
+            provided.
+
+    Attributes:
+        intrinsic_name (str): Name of the intrinsic this adapter implements.
+        intrinsic_metadata (IntriniscsCatalogEntry): Catalog metadata for the intrinsic.
+        base_model_name (str | None): Base model name provided at construction, if any.
+        adapter_type (AdapterType): The adapter type (``LORA`` or ``ALORA``).
+        config (dict): Parsed I/O transformation configuration for the intrinsic.
     """
 
     def __init__(
@@ -70,20 +117,7 @@ def __init__(
         config_dict: dict | None = None,
         base_model_name: str | None = None,
     ):
-        """Entry point for creating IntrinsicAdapter objects.
-
-        An adapter that can be added to either an `OpenAIBackend` or a `LocalHFBackend`.
-        Most intrinsics support LoRA or aLoRA adapter types.
-
-        Args:
-            intrinsic_name: name of the intrinsic; the local name of the loaded adapter
-                that implements this intrinsic will be adapter.qualified_name
-            adapter_type: enum describing what type of adapter it is (ie LORA / ALORA)
-            config_file: optional; file for defining the intrinsic / transformations
-            config_dict: optional; dict for defining the intrinsic / transformations
-            base_model_name: optional; if provided with no config_file/config_dict,
-                will be used to look up the IO processing config for this adapter
-        """
+        """Initialize IntrinsicAdapter for the named intrinsic, loading its I/O configuration."""
         super().__init__(intrinsic_name, adapter_type)
 
         self.intrinsic_name = intrinsic_name
@@ -138,11 +172,16 @@ def __init__(
         self.config: dict = config_dict
 
     def get_local_hf_path(self, base_model_name: str) -> str:
-        """Returns the path needed to load the adapter.
+        """Return the local filesystem path from which adapter weights should be loaded.
+
+        Downloads the adapter weights if they are not already cached locally.
 
         Args:
-            base_model_name: the base model; typically the last part of the huggingface
-                model id like "granite-3.3-8b-instruct"
+            base_model_name (str): The base model name; typically the last component
+                of the HuggingFace model ID (e.g. ``"granite-3.3-8b-instruct"``).
+
+        Returns:
+            str: Filesystem path to the downloaded adapter weights directory.
         """
         return self.download_and_get_path(base_model_name)
 
@@ -175,17 +214,18 @@ def get_adapter_for_intrinsic(
     intrinsic_adapter_types: list[AdapterType] | tuple[AdapterType, ...],
     available_adapters: dict[str, T],
 ) -> T | None:
-    """Finds an adapter from a dict of available adapters based on the intrinsic name and its allowed adapter types.
+    """Find an adapter from a dict of available adapters based on the intrinsic name and its allowed adapter types.
 
     Args:
-        repo_id: Name of Hugging Face Hub repository containing the adapters that
-                implement the intrinsic
-        intrinsic_name: the name of the intrinsic, like "answerability"
-        intrinsic_adapter_types: the adapter types allowed for this intrinsic, like ALORA / LORA
-        available_adapters: the available adapters to choose from; maps adapter.qualified_name to the Adapter
+        intrinsic_name (str): The name of the intrinsic, e.g. ``"answerability"``.
+        intrinsic_adapter_types (list[AdapterType] | tuple[AdapterType, ...]): The
+            adapter types allowed for this intrinsic, e.g.
+            ``[AdapterType.ALORA, AdapterType.LORA]``.
+        available_adapters (dict[str, T]): The available adapters to choose from;
+            maps ``adapter.qualified_name`` to the adapter object.
 
     Returns:
-        an Adapter if found; else None
+        T | None: The first matching adapter found, or ``None`` if no match exists.
     """
     adapter = None
     for adapter_type in intrinsic_adapter_types:
@@ -198,30 +238,66 @@ def get_adapter_for_intrinsic(
 
 
 class AdapterMixin(Backend, abc.ABC):
-    """Mixin class for backends capable of utilizing adapters."""
+    """Mixin class for backends capable of utilizing adapters.
+
+    Attributes:
+        base_model_name (str): The short model name used to identify adapter
+            variants (e.g. ``"granite-3.3-8b-instruct"`` for
+            ``"ibm-granite/granite-3.3-8b-instruct"``).
+    """
 
     @property
     @abc.abstractmethod
     def base_model_name(self) -> str:
-        """Returns the base_model_id of the model used by the backend. For example, `granite-3.3-8b-instruct` for `ibm-granite/granite-3.3-8b-instruct`."""
+        """Return the short model name used for adapter variant lookup.
+
+        Returns:
+            str: The base model name (e.g. ``"granite-3.3-8b-instruct"``).
+        """
 
     @abc.abstractmethod
     def add_adapter(self, *args, **kwargs):
-        """Adds the given adapter to the backend. Must not have been added to a different backend."""
+        """Register an adapter with this backend so it can be loaded later.
+
+        The adapter must not already have been added to a different backend.
+
+        Args:
+            args: Positional arguments forwarded to the concrete implementation.
+            kwargs: Keyword arguments forwarded to the concrete implementation.
+        """
 
     @abc.abstractmethod
     def load_adapter(self, adapter_qualified_name: str):
-        """Loads the given adapter for the backend. Must have previously been added."""
+        """Load a previously registered adapter into the underlying model.
+
+        The adapter must have been registered via ``add_adapter`` before calling
+        this method.
+
+        Args:
+            adapter_qualified_name (str): The ``adapter.qualified_name`` of the
+                adapter to load.
+        """
 
     @abc.abstractmethod
     def unload_adapter(self, adapter_qualified_name: str):
-        """Unloads the given adapter from the backend."""
+        """Unload a previously loaded adapter from the underlying model.
+
+        Args:
+            adapter_qualified_name (str): The ``adapter.qualified_name`` of the
+                adapter to unload.
+        """
 
     @abc.abstractmethod
     def list_adapters(self) -> list[str]:
-        """Lists the adapters added via add_adapter().
+        """Return the qualified names of all adapters currently loaded in this backend.
+
+        Returns:
+            list[str]: Qualified adapter names for all adapters that have been
+                loaded via ``load_adapter``.
 
-        :returns: list of adapter names that are currently registered with this backend
+        Raises:
+            NotImplementedError: If the concrete backend subclass has not
+                implemented this method.
         """
         raise NotImplementedError(
             f"Backend type {type(self)} does not implement list_adapters() API call."
@@ -229,29 +305,29 @@ def list_adapters(self) -> list[str]:
 
 
 class CustomIntrinsicAdapter(IntrinsicAdapter):
-    """Special class for users to subclass.
+    """Special class for users to subclass when creating custom intrinsic adapters.
 
     The documentation says that any developer who creates an intrinsic should create
     a subclass of this class. Creating a subclass of this class appears to be a cosmetic
-    boilerplate development task that isn't actually to be necessary for any existing
-    use case.
+    boilerplate development task that isn't actually necessary for any existing use case.
 
-    This class has the same functionality as `IntrinsicsAdapter`, except that its
+    This class has the same functionality as ``IntrinsicAdapter``, except that its
     constructor monkey-patches Mellea global variables to enable the backend to load
     the user's adapter. The code that performs this monkey-patching is marked as a
     temporary hack.
+
+    Args:
+        model_id (str): The HuggingFace model ID used for downloading model weights;
+            expected format is ``"<user-id>/<repo-name>"``.
+        intrinsic_name (str | None): Catalog name for the intrinsic; defaults to the
+            repository name portion of ``model_id`` if not provided.
+        base_model_name (str): The short name of the base model (NOT its repo ID).
     """
 
     def __init__(
         self, *, model_id: str, intrinsic_name: str | None = None, base_model_name: str
     ):
-        """Custom granite adapters.
-
-        Args:
-            model_id: the huggingface model id. Used for downloading model weights.
-            intrinsic_name (optional): catalog name. Defaults to the repo name if none is provided. For example, nfulton/stembolts model_id uses an intrinsic name of stembolts.
-            base_model_name: the name (NOT repo_id) of the model.
-        """
+        """Initialize CustomIntrinsicAdapter and patch the global intrinsics catalog if needed."""
         assert re.match(".*/.*", model_id), (
             "expected a huggingface model id with format <user-id>/<repo-name>"
         )
diff --git a/mellea/backends/adapters/catalog.py b/mellea/backends/adapters/catalog.py
index 99d773ca4..e60223493 100644
--- a/mellea/backends/adapters/catalog.py
+++ b/mellea/backends/adapters/catalog.py
@@ -10,7 +10,12 @@
 
 
 class AdapterType(enum.Enum):
-    """Possible types of adapters for a backend."""
+    """Possible types of adapters for a backend.
+
+    Attributes:
+        LORA (str): Standard LoRA adapter; value ``"lora"``.
+        ALORA (str): Activated LoRA adapter; value ``"alora"``.
+    """
 
     LORA = "lora"
     ALORA = "alora"
@@ -20,6 +25,16 @@ class IntriniscsCatalogEntry(pydantic.BaseModel):
     """A single row in the main intrinsics catalog table.
 
     We use Pydantic for this dataclass because the rest of Mellea also uses Pydantic.
+
+    Attributes:
+        name (str): User-visible name of the intrinsic.
+        internal_name (str | None): Internal name used for adapter loading, or
+            ``None`` if the same as ``name``.
+        repo_id (str): HuggingFace repository where adapters for the intrinsic
+            are located.
+        adapter_types (tuple[AdapterType, ...]): Adapter types known to be
+            available for this intrinsic; defaults to
+            ``(AdapterType.LORA, AdapterType.ALORA)``.
     """
 
     name: str = pydantic.Field(description="User-visible name of the intrinsic.")
@@ -74,16 +89,26 @@ class IntriniscsCatalogEntry(pydantic.BaseModel):
 
 
 def known_intrinsic_names() -> list[str]:
-    """:returns: List of all known user-visible names for intrinsics."""
+    """Return all known user-visible names for intrinsics.
+
+    Returns:
+        List of all known user-visible intrinsic names.
+    """
     return list(_INTRINSICS_CATALOG.keys())
 
 
 def fetch_intrinsic_metadata(intrinsic_name: str) -> IntriniscsCatalogEntry:
     """Retrieve information about the adapter that backs an intrinsic.
 
-    :param intrinsic_name: User-visible name of the intrinsic
+    Args:
+        intrinsic_name (str): User-visible name of the intrinsic.
+
+    Returns:
+        IntriniscsCatalogEntry: Metadata about the adapter(s) that implement the
+            intrinsic.
 
-    :returns: Metadata about the adapter(s) that implement the intrinsic.
+    Raises:
+        ValueError: If ``intrinsic_name`` is not a known intrinsic name.
     """
     if intrinsic_name not in _INTRINSICS_CATALOG:
         raise ValueError(
diff --git a/mellea/backends/backend.py b/mellea/backends/backend.py
index 210a70aa4..b8329392d 100644
--- a/mellea/backends/backend.py
+++ b/mellea/backends/backend.py
@@ -1,4 +1,11 @@
-"""FormatterBackend."""
+"""``FormatterBackend``: base class for prompt-engineering backends.
+
+``FormatterBackend`` extends the abstract ``Backend`` with a ``ChatFormatter`` and
+a ``ModelIdentifier``, bridging mellea's generative programming primitives to models
+that do not yet natively support spans or structured fine-tuning. Concrete backend
+implementations (e.g. Ollama, HuggingFace, OpenAI) subclass ``FormatterBackend`` and
+supply the model-specific ``generate_from_context`` logic.
+"""
 
 import abc
 from enum import Enum
@@ -20,6 +27,13 @@ class FormatterBackend(Backend, abc.ABC):
     The `mellea` library supports these legacy models primarily through prompt engineering surfaced via `FormatterBackends`.
     A `FormatterBackend` is a backend that uses hand-engineered prompts for rendering generative programming primitives to a model and parsing responses from the model back into `mellea`.
     By default, a `FormatterBackend` uses jinja2 templates for pretty-printing, and relies on the user's ad-hoc logic for parsing.
+
+    Args:
+        model_id (str | ModelIdentifier): The model identifier to use for generation.
+        formatter (ChatFormatter): The formatter used to convert components into prompts.
+        model_options (dict | None): Default model options; if ``None``, an empty dict
+            is used.
+
     """
 
     def __init__(
@@ -29,13 +43,7 @@ def __init__(
         *,
         model_options: dict | None = None,
     ):
-        """Initializes a formatter-based backend for `model_id`.
-
-        Args:
-            model_id (str): The model_id to use.
-            formatter (Formatter): The formatter to use for converting components into (fragments of) prompts.
-            model_options (Optional[dict]): The model options to use; if None, sensible defaults will be provided.
-        """
+        """Initialize a formatter-based backend for the given model ID."""
         self.model_id = model_id
         self.model_options = model_options if model_options is not None else {}
         self.formatter: ChatFormatter = formatter
diff --git a/mellea/backends/bedrock.py b/mellea/backends/bedrock.py
index 414da1ac4..a340dba94 100644
--- a/mellea/backends/bedrock.py
+++ b/mellea/backends/bedrock.py
@@ -22,7 +22,15 @@ def _make_mantle_uri(region: str | None = None):
 
 
 def list_mantle_models(region: str | None = None) -> list:
-    """Helper function get getting all models available at a bedrock-mantle endpoint."""
+    """Return all models available at a bedrock-mantle endpoint.
+
+    Args:
+        region: AWS region name (e.g. ``"us-east-1"``), or ``None`` to use the
+            default region.
+
+    Returns:
+        List of model objects returned by the Bedrock Mantle models API.
+    """
     uri = _make_mantle_uri(region)
     client = OpenAI(base_url=uri, api_key=os.environ["AWS_BEARER_TOKEN_BEDROCK"])
     ms = client.models.list()
@@ -32,7 +40,14 @@ def list_mantle_models(region: str | None = None) -> list:
 
 
 def stringify_mantle_model_ids(region: str | None = None) -> str:
-    """Helper function for getting a human-readable list of all models available at the mantle endpoint for an AWS region."""
+    """Return a human-readable list of all models available at the mantle endpoint for an AWS region.
+
+    Args:
+        region: AWS region name, or ``None`` to use the default region.
+
+    Returns:
+        Newline-separated string of model IDs prefixed with ``" * "``.
+    """
     models = list_mantle_models()
     model_names = "\n * ".join([str(m.id) for m in models])
     return f" * {model_names}"
@@ -41,7 +56,26 @@ def stringify_mantle_model_ids(region: str | None = None) -> str:
 def create_bedrock_mantle_backend(
     model_id: ModelIdentifier | str, region: str | None = None
 ) -> OpenAIBackend:
-    """Returns an OpenAI backend that points to Bedrock mantle for model `model_id`."""
+    """Return an OpenAI backend that points to Bedrock mantle for the given model.
+
+    Args:
+        model_id (ModelIdentifier | str): The model to use, either as a
+            ``ModelIdentifier`` (which must have a ``bedrock_name``) or a raw
+            Bedrock model ID string.
+        region (str | None): AWS region name, or ``None`` to use the default
+            region (``"us-east-1"``).
+
+    Returns:
+        OpenAIBackend: An ``OpenAIBackend`` configured to call the specified model
+            via AWS Bedrock Mantle.
+
+    Raises:
+        Exception: If ``model_id`` is a ``ModelIdentifier`` with no ``bedrock_name``
+            set.
+        AssertionError: If the ``AWS_BEARER_TOKEN_BEDROCK`` environment variable is
+            not set.
+        Exception: If the specified model is not available in the target region.
+    """
     model_name = ""
     match model_id:
         case ModelIdentifier() if model_id.bedrock_name is None:
diff --git a/mellea/backends/cache.py b/mellea/backends/cache.py
index 2f42a247e..81f7a7ab3 100644
--- a/mellea/backends/cache.py
+++ b/mellea/backends/cache.py
@@ -1,4 +1,11 @@
-"""Caching strategies."""
+"""Cache abstractions and implementations for model state.
+
+Defines the abstract ``Cache`` interface with ``put``, ``get``, and
+``current_size`` methods, and provides a concrete ``SimpleLRUCache`` that evicts
+the least-recently-used entry when capacity is exceeded — optionally calling an
+``on_evict`` callback (e.g. to free GPU memory). Used by local HuggingFace backends
+to store and reuse KV cache state across requests.
+"""
 
 import abc
 from collections import OrderedDict
@@ -13,43 +20,80 @@ class Cache(abc.ABC):
 
     @abc.abstractmethod
     def put(self, key: str | int, value: Any) -> None:
-        """Inserts into the cache. May result in eviction of other cached values."""
+        """Insert a value into the cache under the given key.
+
+        May trigger eviction of existing entries if the cache is at capacity.
+
+        Args:
+            key (str | int): The cache key to store the value under.
+            value (Any): The value to store.
+        """
         ...
 
     @abc.abstractmethod
     def get(self, key: str | int) -> Any | None:
-        """Retrieves a value from the cache. Returns `None` if the `id` has no cached value. May impact which cache values are evicted."""
+        """Retrieve a value from the cache by key.
+
+        May affect which entries are considered for future eviction (e.g. LRU ordering).
+
+        Args:
+            key (str | int): The cache key to look up.
+
+        Returns:
+            Any | None: The cached value, or ``None`` if ``key`` has no cached entry.
+        """
         ...
 
     @abc.abstractmethod
     def current_size(self) -> int:
-        """Returns the number of things currently in the cache. Mostly useful for debugging."""
+        """Return the number of entries currently stored in the cache.
+
+        Returns:
+            int: Count of items currently held in the cache; useful for debugging.
+        """
         ...
 
 
 class SimpleLRUCache(Cache):
-    """A simple [LRU](https://en.wikipedia.org/wiki/Cache_replacement_policies#Least_Recently_Used_(LRU)) cache."""
+    """A simple `LRU <https://en.wikipedia.org/wiki/Cache_replacement_policies#Least_Recently_Used_(LRU)>`_ cache.
 
-    def __init__(self, capacity: int, on_evict: Callable[[Any], None] | None = None):
-        """Initializes the LRU cache with a certain capacity.
+    Evicts the least-recently-used entry when capacity is exceeded, optionally
+    invoking an ``on_evict`` callback (e.g. to free GPU memory). Used by local
+    HuggingFace backends to store and reuse KV cache state across requests.
 
-        The `SimpleLRUCache` either contains a value or it doesn't. There is no cache hierarchy. Take care when choosing `capacity`. In practice usually a small value will be fine, but ideally you should try to choose a capacity based upon your available device memory and the context size of your model.
+    Args:
+        capacity (int): Maximum number of items to store in the cache.
+        on_evict (Callable[[Any], None] | None): Optional callback invoked with the
+            evicted value whenever an entry is removed to make room for a new one.
 
-        Args:
-            capacity: Maximum number of items to store in the cache.
-            on_evict: Optional callback function called when an item is evicted from the cache.
-                      This can be used to free resources (e.g., GPU memory) when items are removed.
-        """
+    Attributes:
+        cache (OrderedDict): Internal ordered dict used for LRU tracking; always
+            initialised empty at construction.
+    """
+
+    def __init__(self, capacity: int, on_evict: Callable[[Any], None] | None = None):
+        """Initialize the LRU cache with a fixed capacity and optional eviction callback."""
         self.capacity = capacity
         self.cache: OrderedDict = OrderedDict()
         self.on_evict = on_evict
 
     def current_size(self) -> int:
-        """Just return the size of the key set. This isn't necessarily safe."""
+        """Return the number of entries currently stored in the cache.
+
+        Returns:
+            int: Count of items currently held in the cache; useful for debugging.
+        """
         return len(self.cache.keys())
 
     def get(self, key: str | int) -> Any | None:
-        """Gets a value from the cache."""
+        """Retrieve a value from the cache, promoting it to most-recently-used.
+
+        Args:
+            key (str | int): The cache key to look up.
+
+        Returns:
+            Any | None: The cached value, or ``None`` if ``key`` is not present.
+        """
         if key not in self.cache:
             return None
         else:
@@ -59,7 +103,15 @@ def get(self, key: str | int) -> Any | None:
             return value
 
     def put(self, key: str | int, value: Any) -> None:
-        """Put a value into the cache."""
+        """Insert or update a value in the cache.
+
+        If the cache is at capacity and the key is new, the least-recently-used
+        entry is evicted first, invoking the ``on_evict`` callback if set.
+
+        Args:
+            key (str | int): The cache key to store the value under.
+            value (Any): The value to cache.
+        """
         if self.capacity <= 0:
             return
         if key in self.cache:
diff --git a/mellea/backends/dummy.py b/mellea/backends/dummy.py
index 71812d9aa..5a13e08ac 100644
--- a/mellea/backends/dummy.py
+++ b/mellea/backends/dummy.py
@@ -12,14 +12,24 @@
 
 
 class DummyBackend(Backend):
-    """A backend for smoke testing."""
+    """A backend for smoke testing.
 
-    def __init__(self, responses: list[str] | None):
-        """Initializes the dummy backend, optionally with a list of dummy responses.
+    Returns predetermined string responses in sequence, or ``"dummy"`` if no
+    responses are provided. Intended for unit tests and integration smoke tests
+    where real model inference is not needed.
 
-        Args:
-            responses: If `None`, then the dummy backend always returns "dummy". Otherwise, returns the next item from responses. The generate function will throw an exception if a generate call is made after the list is exhausted.
-        """
+    Args:
+        responses (list[str] | None): Ordered list of strings to return on
+            successive ``generate_from_context`` calls, or ``None`` to always
+            return ``"dummy"``.
+
+    Attributes:
+        idx (int): Index of the next response to return from ``responses``;
+            starts at ``0`` and increments on each call.
+    """
+
+    def __init__(self, responses: list[str] | None):
+        """Initialize the dummy backend with an optional list of predetermined responses."""
         self.responses = responses
         self.idx = 0
 
@@ -32,7 +42,28 @@ async def generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """See constructor for an exmplanation of how DummyBackends work."""
+        """Return the next predetermined response for ``action`` given ``ctx``.
+
+        If ``responses`` is ``None``, always returns the string ``"dummy"``.
+        Otherwise returns the next item from ``responses`` in order.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Must be ``None``; constrained
+                decoding is not supported.
+            model_options (dict | None): Ignored by this backend.
+            tool_calls (bool): Ignored by this backend.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the predetermined
+                response and an updated context.
+
+        Raises:
+            AssertionError: If ``format`` is not ``None``.
+            Exception: If all responses from ``responses`` have been consumed.
+        """
         assert format is None, "The DummyBackend does not support constrained decoding."
         if self.responses is None:
             mot = ModelOutputThunk(value="dummy")
diff --git a/mellea/backends/huggingface.py b/mellea/backends/huggingface.py
index 7f7314d66..1f4412079 100644
--- a/mellea/backends/huggingface.py
+++ b/mellea/backends/huggingface.py
@@ -78,7 +78,28 @@
 
 @dataclasses.dataclass
 class HFAloraCacheInfo:
-    """A dataclass for holding some KV cache and associated information."""
+    """A dataclass for holding a KV cache and associated generation metadata.
+
+    Used by ``LocalHFBackend`` to store intermediate model state that can be
+    reused across generation requests via an LRU cache.
+
+    Args:
+        kv_cache (DynamicCache | None): The HuggingFace ``DynamicCache`` holding
+            precomputed key/value tensors, or ``None`` if not available.
+        merged_token_ids (Any): Token IDs corresponding to the cached prefix.
+        merged_attention (Any): Attention mask for the cached prefix tokens.
+        q_end (int): Index of the last prompt token in the merged token sequence;
+            defaults to ``-1``.
+        scores (Any): Optional logit scores from the generation step; defaults to
+            ``None``.
+
+    Attributes:
+        kv_cache (DynamicCache | None): The cached key/value tensors.
+        merged_token_ids (Any): Token IDs for the cached prefix.
+        merged_attention (Any): Attention mask for the cached prefix.
+        q_end (int): End index of the prompt portion in merged token IDs.
+        scores (Any): Logit scores from generation, or ``None``.
+    """
 
     kv_cache: DynamicCache | None
     merged_token_ids: Any
@@ -196,6 +217,27 @@ class LocalHFBackend(FormatterBackend, AdapterMixin):
     This backend is designed for running an HF model for small-scale inference locally on your machine.
 
     This backend is NOT designed for inference scaling on CUDA-enabled hardware.
+
+    Args:
+        model_id (str | ModelIdentifier): Used to load the model and tokenizer via
+            HuggingFace ``Auto*`` classes.
+        formatter (ChatFormatter | None): Formatter for rendering components into
+            prompts. Defaults to ``TemplateFormatter``.
+        use_caches (bool): If ``False``, KV caching is disabled even if a ``Cache``
+            is provided.
+        cache (Cache | None): Caching strategy; defaults to
+            ``SimpleLRUCache(0, on_evict=_cleanup_kv_cache)``.
+        custom_config (TransformersTorchConfig | None): Override for
+            tokenizer/model/device; if provided, ``model_id`` is not used for loading.
+        default_to_constraint_checking_alora (bool): If ``False``, aLoRA constraint
+            checking is deactivated; mainly for benchmarking and debugging.
+        model_options (dict | None): Default model options for generation requests.
+
+    Attributes:
+        to_mellea_model_opts_map (dict): Mapping from HF-specific option names to
+            Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map (dict): Mapping from Mellea sentinel keys to
+            HF-specific option names.
     """
 
     _cached_blocks: dict[str, DynamicCache] = dict()
@@ -211,19 +253,7 @@ def __init__(
         default_to_constraint_checking_alora: bool = True,
         model_options: dict | None = None,
     ):
-        """Attempt to load model weights using the model_id by default, or using `custom_config` if provided.
-
-        WARNING: initializing a `LocalHFBackend` will download and load the model on your *local* machine.
-
-        Args:
-            model_id (str | ModelIdentifier): Used to load the model *and tokenizer* via transformers Auto* classes, and then moves the model to the best available device (cuda > mps > cpu). If loading the model and/or tokenizer from a string will not work, or if you want to use a different device string, then you can use custom_config.
-            formatter (Formatter): A mechanism for turning `stdlib` stuff into strings. Experimental Span-based models should use `mellea.backends.span.*` backends.
-            use_caches (bool): If set to False, then caching will not be used even if a Cache is provided.
-            cache (Optional[Cache]): The caching strategy to use. If None, `LRUCache(3)` will be used.
-            custom_config (Optional[TransformersTorchConfig]): Overrides loading from the `model_id`. If set, then the specified tokenizer/model/device will be used instead of auto-loading from the model_id.
-            default_to_constraint_checking_alora: If set to False then aloras will be deactivated. This is primarily for performance benchmarking and debugging.
-            model_options (Optional[dict]): Default model options.
-        """
+        """Load model weights from the given model ID, or from a custom config if provided."""
         formatter = (
             formatter if formatter is not None else TemplateFormatter(model_id=model_id)
         )
@@ -320,7 +350,26 @@ async def generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """Generate using the huggingface model."""
+        """Generate a completion for ``action`` given ``ctx`` using the HuggingFace model.
+
+        Automatically routes ``Requirement`` and ``Intrinsic`` actions to their
+        corresponding aLoRA adapters when available.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured/constrained output decoding via llguidance.
+            model_options (dict | None): Per-call model options that override the
+                backend's defaults.
+            tool_calls (bool): If ``True``, expose available tools to the model and
+                parse tool-call responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         span = start_generate_span(
             backend=self, action=action, ctx=ctx, format=format, tool_calls=tool_calls
         )
@@ -981,7 +1030,19 @@ async def _generate_from_context_standard(
     async def processing(
         self, mot: ModelOutputThunk, chunk: str | GenerateDecoderOnlyOutput, input_ids
     ):
-        """Process the returned chunks or the complete response."""
+        """Accumulate decoded text from a streaming chunk or full generation output.
+
+        For streaming responses the chunk is an already-decoded string from
+        ``AsyncTextIteratorStreamer``; for non-streaming it is a
+        ``GenerateDecoderOnlyOutput`` that is decoded here.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk being populated.
+            chunk (str | GenerateDecoderOnlyOutput): A decoded text chunk (streaming)
+                or a full HuggingFace generation output object (non-streaming).
+            input_ids: The prompt token IDs used for decoding; required to slice off
+                the prompt portion from the generated sequences.
+        """
         if mot._underlying_value is None:
             mot._underlying_value = ""
 
@@ -1006,7 +1067,23 @@ async def post_processing(
         seed,
         input_ids,
     ):
-        """Called when generation is done."""
+        """Finalize the output thunk after HuggingFace generation completes.
+
+        Stores the KV cache for future reuse, parses tool calls if applicable,
+        records token usage metrics, emits telemetry, and attaches the generate log.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk to finalize.
+            conversation (list[dict]): The chat conversation sent to the model,
+                used for logging.
+            _format (type[BaseModelSubclass] | None): The structured output format
+                class used during generation, if any.
+            tool_calls (bool): Whether tool calling was enabled for this request.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name.
+            seed: The random seed used during generation, or ``None``.
+            input_ids: The prompt token IDs; used to compute token counts and for
+                KV cache bookkeeping.
+        """
         if mot._meta.get("hf_output", None) is None:
             if mot._generate_extra is not None:
                 full_output = await mot._generate_extra
@@ -1179,7 +1256,22 @@ async def generate_from_raw(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> list[ModelOutputThunk]:
-        """Generate using the completions api. Gives the input provided to the model without templating."""
+        """Generate completions for multiple actions without chat templating.
+
+        Passes formatted prompt strings directly to the HuggingFace model's
+        ``generate`` method as a batch. Tool calling is not supported.
+
+        Args:
+            actions (Sequence[Component[C] | CBlock]): Actions to generate completions for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Optional Pydantic model for
+                structured output decoding via llguidance.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): Ignored; tool calling is not supported on this endpoint.
+
+        Returns:
+            list[ModelOutputThunk]: A list of model output thunks, one per action.
+        """
         with instrument_generate_from_raw(
             backend=self, num_actions=len(actions), format=format, tool_calls=tool_calls
         ):
@@ -1280,13 +1372,26 @@ async def generate_from_raw(
 
     # region cache management
     def cache_get(self, id: str | int) -> HFAloraCacheInfo | None:
-        """Retrieve from cache."""
+        """Retrieve a cached ``HFAloraCacheInfo`` entry by its key.
+
+        Args:
+            id (str | int): The cache key to look up.
+
+        Returns:
+            HFAloraCacheInfo | None: The cached entry, or ``None`` if not found.
+        """
         v = self._cache.get(id)
         assert v is None or type(v) is HFAloraCacheInfo
         return v
 
     def cache_put(self, id: str | int, v: HFAloraCacheInfo):
-        """Put into cache."""
+        """Store an ``HFAloraCacheInfo`` entry in the cache under the given key.
+
+        Args:
+            id (str | int): The cache key to store the entry under.
+            v (HFAloraCacheInfo): The cache entry containing KV cache state
+                and associated generation metadata.
+        """
         self._cache.put(id, v)
 
     # endregion
@@ -1368,7 +1473,18 @@ def base_model_name(self):
         return self._hf_model_id.split("/")[1]
 
     def add_adapter(self, adapter: LocalHFAdapter):
-        """Adds the given adapter to the backend. Must not have been added to a different backend."""
+        """Register a LoRA/aLoRA adapter with this backend so it can be loaded later.
+
+        Downloads the adapter weights (via ``adapter.get_local_hf_path``) and records
+        the adapter in the backend's registry. The adapter must not already be
+        registered with a different backend.
+
+        Args:
+            adapter (LocalHFAdapter): The adapter to register with this backend.
+
+        Raises:
+            Exception: If ``adapter`` has already been added to a different backend.
+        """
         if adapter.backend is not None:
             if adapter.backend is self:
                 FancyLogger.get_logger().warning(
@@ -1391,7 +1507,19 @@ def add_adapter(self, adapter: LocalHFAdapter):
         self._added_adapters[adapter.qualified_name] = adapter
 
     def load_adapter(self, adapter_qualified_name: str):
-        """Loads the given adapter for the backend. Must have previously been added. Do not call when generation requests are happening."""
+        """Load a previously registered adapter into the underlying HuggingFace model.
+
+        The adapter must have been registered via ``add_adapter`` first. Do not call
+        this method while generation requests are in progress.
+
+        Args:
+            adapter_qualified_name (str): The ``adapter.qualified_name`` of the adapter
+                to load (i.e. ``"<name>_<adapter_type>"``)
+
+        Raises:
+            ValueError: If no adapter with the given qualified name has been added to
+                this backend.
+        """
         adapter = self._added_adapters.get(adapter_qualified_name, None)
         if adapter is None:
             raise ValueError(
@@ -1423,7 +1551,15 @@ def load_adapter(self, adapter_qualified_name: str):
         self._loaded_adapters[adapter.qualified_name] = adapter
 
     def unload_adapter(self, adapter_qualified_name: str):
-        """Unloads the given adapter from the backend."""
+        """Unload a previously loaded adapter from the underlying HuggingFace model.
+
+        If the adapter is not currently loaded, a log message is emitted and the
+        method returns without error.
+
+        Args:
+            adapter_qualified_name (str): The ``adapter.qualified_name`` of the adapter
+                to unload.
+        """
         # Check if the backend knows about this adapter.
         adapter = self._loaded_adapters.get(adapter_qualified_name, None)
         if adapter is None:
@@ -1438,9 +1574,11 @@ def unload_adapter(self, adapter_qualified_name: str):
         del self._loaded_adapters[adapter.qualified_name]
 
     def list_adapters(self) -> list[str]:
-        """Lists the adapters added via add_adapter().
+        """List the qualified names of all adapters currently loaded in this backend.
 
-        :returns: list of adapter names that are currently registered with this backend
+        Returns:
+            list[str]: Qualified adapter names (i.e. ``adapter.qualified_name``) for
+                all adapters that have been loaded via ``load_adapter``.
         """
         return list(self._loaded_adapters.keys())
 
diff --git a/mellea/backends/kv_block_helpers.py b/mellea/backends/kv_block_helpers.py
index 4d63093fb..4388b1222 100644
--- a/mellea/backends/kv_block_helpers.py
+++ b/mellea/backends/kv_block_helpers.py
@@ -1,4 +1,11 @@
-"""Utilities for KV smashing."""
+"""Low-level utilities for concatenating transformer KV caches (KV smashing).
+
+Provides functions for merging ``DynamicCache`` and legacy tuple caches along the
+time axis (``merge_dynamic_caches``, ``legacy_cache_smash``), and
+``tokens_to_legacy_cache`` for converting a tokenized prompt into a prefilled KV
+cache. These helpers are used internally by local HuggingFace backends that reuse
+cached prefix computations across multiple generation calls.
+"""
 
 from collections.abc import Iterable
 from functools import reduce
@@ -14,7 +21,15 @@
 
 
 def legacy_cache_smash(a: LegacyCache, b: LegacyCache) -> LegacyCache:
-    """Concatenates two LegacyCache Ks and Vs along the time axis."""
+    """Concatenates two LegacyCache Ks and Vs along the time axis.
+
+    Args:
+        a: First legacy KV cache (tuple of per-layer (K, V) tensor pairs).
+        b: Second legacy KV cache to concatenate after ``a``.
+
+    Returns:
+        New legacy cache with ``b`` appended to ``a`` along the sequence dimension.
+    """
     legacy_merged = tuple(
         (torch.cat([a[i][0], b[i][0]], dim=2), torch.cat([a[i][1], b[i][1]], dim=2))
         for i in range(len(a))
@@ -23,7 +38,14 @@ def legacy_cache_smash(a: LegacyCache, b: LegacyCache) -> LegacyCache:
 
 
 def merge_dynamic_caches(caches: Iterable[DynamicCache]) -> DynamicCache:
-    """Merges two DynamicCache Ks and Vs along the time axis."""
+    """Merges two DynamicCache Ks and Vs along the time axis.
+
+    Args:
+        caches: Iterable of ``DynamicCache`` objects to merge in order.
+
+    Returns:
+        A single ``DynamicCache`` with all caches concatenated along the sequence dimension.
+    """
     legacies = [c.to_legacy_cache() for c in caches]  # type: ignore
     assert len(legacies) >= 1
     rv = DynamicCache.from_legacy_cache(reduce(legacy_cache_smash, legacies))  # type: ignore
@@ -33,7 +55,17 @@ def merge_dynamic_caches(caches: Iterable[DynamicCache]) -> DynamicCache:
 def tokens_to_legacy_cache(
     model: PreTrainedModel, device: str, tokens_or_cache: BatchEncoding | DynamicCache
 ) -> Iterable[LegacyCache]:
-    """Prefills and returns Ks and Vs as a LegacyCache."""
+    """Prefills and returns Ks and Vs as a LegacyCache.
+
+    Args:
+        model: The HuggingFace model used for prefill.
+        device: Target device string (e.g. ``"cuda"``, ``"cpu"``).
+        tokens_or_cache: Either a ``BatchEncoding`` to prefill, or an existing
+            ``DynamicCache`` to convert directly.
+
+    Returns:
+        Legacy KV cache representation as a tuple of per-layer (K, V) tensor pairs.
+    """
     if type(tokens_or_cache) is DynamicCache:
         return tokens_or_cache.to_legacy_cache()  # type: ignore
     else:
diff --git a/mellea/backends/litellm.py b/mellea/backends/litellm.py
index 34ebfe970..90cc430d9 100644
--- a/mellea/backends/litellm.py
+++ b/mellea/backends/litellm.py
@@ -52,7 +52,23 @@
 
 
 class LiteLLMBackend(FormatterBackend):
-    """A generic LiteLLM compatible backend."""
+    """A generic LiteLLM compatible backend.
+
+    Args:
+        model_id (str): The LiteLLM model identifier string; typically
+            ``"<provider>/<model_creator>/<model_name>"``.
+        formatter (ChatFormatter | None): Formatter for rendering components.
+            Defaults to ``TemplateFormatter``.
+        base_url (str | None): Base URL for the LLM API endpoint; defaults to
+            the Ollama local endpoint.
+        model_options (dict | None): Default model options for generation requests.
+
+    Attributes:
+        to_mellea_model_opts_map (dict): Mapping from backend-specific option names to
+            Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map (dict): Mapping from Mellea ``ModelOption`` sentinel
+            keys to backend-specific option names.
+    """
 
     def __init__(
         self,
@@ -62,16 +78,7 @@ def __init__(
         base_url: str | None = "http://localhost:11434",
         model_options: dict | None = None,
     ):
-        """Initialize an OpenAI compatible backend using the [LiteLLM Python SDK](https://docs.litellm.ai/docs/#litellm-python-sdk).
-
-        Note: If getting `Unclosed client session`, set `export DISABLE_AIOHTTP_TRANSPORT=True` in your environment. See: https://github.com/BerriAI/litellm/issues/13251.
-
-        Args:
-            model_id : The LiteLLM model identifier; in most cases requires some combination of `<provider>/<model_creator>/<model_name>`. Make sure that all necessary credentials are in OS environment variables.
-            formatter: A custom formatter based on backend.If None, defaults to TemplateFormatter
-            base_url : Base url for LLM API. Defaults to None.
-            model_options : Generation options to pass to the LLM. Defaults to None.
-        """
+        """Initialize a LiteLLM-compatible backend for the given model ID and endpoint."""
         super().__init__(
             model_id=model_id,
             formatter=(
@@ -127,7 +134,26 @@ async def generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """See `generate_from_chat_context`."""
+        """Generate a completion for ``action`` given ``ctx`` via the LiteLLM chat API.
+
+        Delegates to ``_generate_from_chat_context_standard``. Only chat contexts are
+        supported; raises ``NotImplementedError`` otherwise.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured/constrained output decoding.
+            model_options (dict | None): Per-call model options that override the
+                backend's defaults.
+            tool_calls (bool): If ``True``, expose available tools to the model and
+                parse tool-call responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         assert ctx.is_chat_context, NotImplementedError(
             "The Openai backend only supports chat-like contexts."
         )
@@ -366,9 +392,16 @@ async def processing(
         mot: ModelOutputThunk,
         chunk: litellm.ModelResponse | litellm.ModelResponseStream,  # type: ignore
     ):
-        """Called during generation to add information from a single ModelResponse or a chunk / ModelResponseStream to the ModelOutputThunk.
+        """Accumulate content and thinking tokens from a single LiteLLM response chunk.
+
+        Called during generation for each ``ModelResponse`` (non-streaming) or
+        ``ModelResponseStream`` chunk (streaming). Tool call parsing is deferred to
+        ``post_processing``.
 
-        For LiteLLM, tool call parsing is handled in the post processing step.
+        Args:
+            mot (ModelOutputThunk): The output thunk being populated.
+            chunk (litellm.ModelResponse | litellm.ModelResponseStream): A single
+                response object or streaming chunk from LiteLLM.
         """
         if mot._thinking is None:
             mot._thinking = ""
@@ -429,7 +462,21 @@ async def post_processing(
         thinking,
         _format,
     ):
-        """Called when generation is done."""
+        """Finalize the model output thunk after LiteLLM generation completes.
+
+        Reconstructs a merged chat response from streaming chunks if applicable,
+        extracts tool call requests, records token usage metrics, emits telemetry,
+        and attaches the generate log to the output thunk.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk to finalize.
+            conversation (list[dict]): The chat conversation sent to the model,
+                used for logging.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name.
+            thinking: The thinking/reasoning effort level passed to the model, or
+                ``None`` if reasoning mode was not enabled.
+            _format: The structured output format class used during generation, if any.
+        """
         # Reconstruct the chat_response from chunks if streamed.
         streamed_chunks = mot._meta.get("litellm_chat_response_streamed", None)
         if streamed_chunks is not None:
@@ -577,7 +624,22 @@ async def generate_from_raw(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> list[ModelOutputThunk]:
-        """Generate using the completions api. Gives the input provided to the model without templating."""
+        """Generate completions for multiple actions without chat templating via LiteLLM.
+
+        Passes formatted prompt strings directly to LiteLLM's text completion endpoint.
+        Tool calling is not supported on this endpoint.
+
+        Args:
+            actions (Sequence[Component[C] | CBlock]): Actions to generate completions for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Optional Pydantic model for
+                structured output; passed as ``guided_json`` in the request body.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): Ignored; tool calling is not supported on this endpoint.
+
+        Returns:
+            list[ModelOutputThunk]: A list of model output thunks, one per action.
+        """
         with instrument_generate_from_raw(
             backend=self, num_actions=len(actions), format=format, tool_calls=tool_calls
         ):
diff --git a/mellea/backends/model_ids.py b/mellea/backends/model_ids.py
index 76ba1e5bb..61e163c9c 100644
--- a/mellea/backends/model_ids.py
+++ b/mellea/backends/model_ids.py
@@ -1,4 +1,11 @@
-"""Dataclasses for ModelIdentifiers."""
+"""``ModelIdentifier`` dataclass and a catalog of pre-defined model IDs.
+
+``ModelIdentifier`` is a frozen dataclass that groups the platform-specific name
+variants for a model (HuggingFace, Ollama, WatsonX, MLX, OpenAI, Bedrock) so that
+a single constant can be passed to any backend without manual string translation.
+The module also ships a curated catalog of ready-to-use constants for popular
+open-weight models including IBM Granite 4, Meta Llama 4, Mistral, and Qwen families.
+"""
 
 import dataclasses
 
@@ -10,6 +17,16 @@ class ModelIdentifier:
     Using model strings is messy:
         1. Different platforms use variations on model id strings.
         2. Using raw strings is annoying because: no autocomplete, typos, hallucinated names, mismatched model and tokenizer names, etc.
+
+    Args:
+        hf_model_name (str | None): HuggingFace Hub model repository ID (e.g. ``"ibm-granite/granite-3.3-8b-instruct"``).
+        ollama_name (str | None): Ollama model tag (e.g. ``"granite3.3:8b"``).
+        watsonx_name (str | None): WatsonX AI model ID (e.g. ``"ibm/granite-3-2b-instruct"``).
+        mlx_name (str | None): MLX model identifier for Apple Silicon inference.
+        openai_name (str | None): OpenAI API model name (e.g. ``"gpt-5.1"``).
+        bedrock_name (str | None): AWS Bedrock model ID (e.g. ``"openai.gpt-oss-20b"``).
+        hf_tokenizer_name (str | None): HuggingFace tokenizer ID; defaults to ``hf_model_name`` if ``None``.
+
     """
 
     hf_model_name: str | None = None
diff --git a/mellea/backends/model_options.py b/mellea/backends/model_options.py
index 2df6f510f..428dcab00 100644
--- a/mellea/backends/model_options.py
+++ b/mellea/backends/model_options.py
@@ -19,6 +19,16 @@ class ModelOption:
         ModelOption.SYSTEM_PROMPT : "You are a helpful assistant"
     }
     ```
+
+    Attributes:
+        TOOLS (str): Sentinel key for a list or dict of tools to expose for tool calling.
+        MAX_NEW_TOKENS (str): Sentinel key for the maximum number of new tokens to generate.
+        SYSTEM_PROMPT (str): Sentinel key for the system prompt string.
+        TEMPERATURE (str): Key for the sampling temperature (passed through to the backend).
+        CONTEXT_WINDOW (str): Sentinel key for the context window size.
+        THINKING (str): Sentinel key for enabling/configuring reasoning/thinking mode.
+        SEED (str): Sentinel key for the random seed for reproducible generation.
+        STREAM (str): Sentinel key for enabling streaming responses.
     """
 
     TOOLS = "@@@tools@@@"
@@ -34,7 +44,9 @@ class ModelOption:
 
     @staticmethod
     def replace_keys(options: dict, from_to: dict[str, str]) -> dict[str, Any]:
-        """Returns a new dict with the keys in `options` replaced with the corresponding value for that key in `from_to`.
+        """Return a new dict with selected keys in ``options`` renamed according to ``from_to``.
+
+        Returns a new dict with the keys in `options` replaced with the corresponding value for that key in `from_to`.
 
         * Any key with value == None is treated the same as the key missing.
 
@@ -55,6 +67,13 @@ def replace_keys(options: dict, from_to: dict[str, str]) -> dict[str, Any]:
 
         * Notice that "M1" keeps the original value "m1", rather than "v1".
         * Notice that both "k1" and "k2" are absent in the output.
+
+        Args:
+            options (dict): The source dictionary whose keys may be renamed.
+            from_to (dict[str, str]): Mapping of old key names to new key names.
+
+        Returns:
+            dict[str, Any]: A new dictionary with the specified keys renamed.
         """
         new_options = {}
 
@@ -93,7 +112,17 @@ def replace_keys(options: dict, from_to: dict[str, str]) -> dict[str, Any]:
 
     @staticmethod
     def remove_special_keys(model_options: dict[str, Any]) -> dict[str, Any]:
-        """Removes all sentiel-valued keys (i.e., those that start with @@@)."""
+        """Return a copy of ``model_options`` with all sentinel-valued keys removed.
+
+        Sentinel keys are those whose names start with ``@@@`` (e.g. ``ModelOption.TOOLS``).
+        These are Mellea-internal keys that must not be forwarded to backend APIs.
+
+        Args:
+            model_options (dict[str, Any]): A model options dictionary that may contain sentinel keys.
+
+        Returns:
+            dict[str, Any]: A new dictionary with all ``@@@``-prefixed keys omitted.
+        """
         new_options = {}
         for k, v in model_options.items():
             if not k.startswith("@@@"):
@@ -104,7 +133,19 @@ def remove_special_keys(model_options: dict[str, Any]) -> dict[str, Any]:
     def merge_model_options(
         persistent_opts: dict[str, Any], overwrite_opts: dict[str, Any] | None
     ) -> dict[str, Any]:
-        """Creates a new dict that contains all keys and values from persistent opts and overwrite opts. If there are duplicate keys, overwrite opts key value pairs will be used."""
+        """Merge two model-options dicts, with ``overwrite_opts`` taking precedence on conflicts.
+
+        Creates a new dict that contains all keys and values from persistent opts and overwrite opts.
+        If there are duplicate keys, overwrite opts key value pairs will be used.
+
+        Args:
+            persistent_opts (dict[str, Any]): Base model options (lower precedence).
+            overwrite_opts (dict[str, Any] | None): Per-call model options that override
+                ``persistent_opts`` on key conflicts; ``None`` is treated as empty.
+
+        Returns:
+            dict[str, Any]: A new merged dictionary.
+        """
         new_options = {}
 
         for k, v in persistent_opts.items():
diff --git a/mellea/backends/ollama.py b/mellea/backends/ollama.py
index ee159e88a..04dc22fb3 100644
--- a/mellea/backends/ollama.py
+++ b/mellea/backends/ollama.py
@@ -39,7 +39,24 @@
 
 
 class OllamaModelBackend(FormatterBackend):
-    """A model that uses the Ollama Python SDK for local inference."""
+    """A model that uses the Ollama Python SDK for local inference.
+
+    Args:
+        model_id (str | ModelIdentifier): Ollama model ID. If a
+            ``ModelIdentifier`` is passed, its ``ollama_name`` attribute must
+            be set.
+        formatter (ChatFormatter | None): Formatter for rendering components.
+            Defaults to ``TemplateFormatter``.
+        base_url (str | None): Ollama server endpoint; defaults to
+            ``env(OLLAMA_HOST)`` or ``http://localhost:11434``.
+        model_options (dict | None): Default model options for generation requests.
+
+    Attributes:
+        to_mellea_model_opts_map (dict): Mapping from Ollama-specific option names
+            to Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map (dict): Mapping from Mellea ``ModelOption``
+            sentinel keys to Ollama-specific option names.
+    """
 
     def __init__(
         self,
@@ -48,16 +65,7 @@ def __init__(
         base_url: str | None = None,
         model_options: dict | None = None,
     ):
-        """Initializes an ollama backend for local models.
-
-        WARNING: may use up a lot of your machine's memory.
-
-        Args:
-            model_id (str | ModelIdentifier): Ollama model ID. If ModelIdentifier, then an `ollama_name` must be provided by that ModelIdentifier.
-            base_url (str): Endpoint that is serving the model API; defaults to env(OLLAMA_HOST) or `http://localhost:11434`
-            model_options (dict): Ollama model options
-            formatter (Formatter): formatter for creating input
-        """
+        """Initialize an Ollama backend, connecting to the server and pulling the model if needed."""
         super().__init__(
             model_id=model_id,
             formatter=(
@@ -259,7 +267,25 @@ async def generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """See `generate_from_chat_context`."""
+        """Generate a completion for ``action`` given ``ctx`` via the Ollama chat API.
+
+        Delegates to ``generate_from_chat_context``. Only chat contexts are supported.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured/constrained output decoding.
+            model_options (dict | None): Per-call model options that override the
+                backend's defaults.
+            tool_calls (bool): If ``True``, expose available tools to the model and
+                parse tool-call responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         from ..telemetry.backend_instrumentation import start_generate_span
 
         # Start span without auto-closing (will be closed in post_processing)
@@ -291,12 +317,23 @@ async def generate_from_chat_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> ModelOutputThunk[C]:
-        """Generates a ModelOutputThunk. The final value for this object can be awaited.
+        """Generate a new completion from the provided context using this backend's formatter.
+
+        Treats the ``Context`` as a chat history and uses the ``ollama.Client.chat()``
+        interface to generate a completion. Returns a thunk that lazily resolves
+        the model output.
 
-        The new completion is generated from the provided Context using this backend's `Formatter`.
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            _format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured output decoding.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): If ``True``, expose available tools and parse responses.
 
-        This implementation treats the `Context` as a chat history, and uses the  `ollama.Client.chat()` interface to generate a completion.
-        This will not always work, because sometimes we want to use non-chat models.
+        Returns:
+            ModelOutputThunk[C]: A thunk holding the (lazy) model output.
 
         Raises:
             RuntimeError: If not called from a thread with a running event loop.
@@ -428,7 +465,22 @@ async def generate_from_raw(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> list[ModelOutputThunk]:
-        """Generate using the generate api. Gives the input provided to the model without templating."""
+        """Generate completions for multiple actions without chat templating via Ollama.
+
+        Passes formatted prompt strings directly to Ollama's generate endpoint.
+        Requests are submitted concurrently to make use of Ollama's concurrency support.
+
+        Args:
+            actions (Sequence[Component[C] | CBlock]): Actions to generate completions for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Optional Pydantic model for
+                structured output decoding.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): Ignored; tool calling is not supported on this endpoint.
+
+        Returns:
+            list[ModelOutputThunk]: A list of model output thunks, one per action.
+        """
         if len(actions) > 1:
             FancyLogger.get_logger().info(
                 "Ollama doesn't support batching; will attempt to process concurrently."
@@ -553,7 +605,18 @@ async def processing(
         chunk: ollama.ChatResponse,
         tools: dict[str, AbstractMelleaTool],
     ):
-        """Called during generation to add information from a single ChatResponse to the ModelOutputThunk."""
+        """Accumulate text and tool calls from a single Ollama ChatResponse chunk.
+
+        Called for each streaming or non-streaming ``ollama.ChatResponse``. Also
+        extracts tool call requests inline and merges the chunk into the running
+        aggregated response stored in ``mot._meta["chat_response"]``.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk being populated.
+            chunk (ollama.ChatResponse): A single chat response object from Ollama.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name,
+                used for extracting tool call requests from the response.
+        """
         if mot._thinking is None:
             mot._thinking = ""
         thinking_chunk = chunk.message.thinking
@@ -586,7 +649,18 @@ async def post_processing(
         tools: dict[str, AbstractMelleaTool],
         _format,
     ):
-        """Called when generation is done."""
+        """Finalize the output thunk after Ollama generation completes.
+
+        Attaches the generate log, records token usage metrics, emits telemetry,
+        and cleans up the span reference.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk to finalize.
+            conversation (list[dict]): The chat conversation sent to the model,
+                used for logging.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name.
+            _format: The structured output format class used during generation, if any.
+        """
         assert mot._action is not None, (
             "ModelOutputThunks should have their action assigned during generation"
         )
diff --git a/mellea/backends/openai.py b/mellea/backends/openai.py
index 895bddd58..86f701a32 100644
--- a/mellea/backends/openai.py
+++ b/mellea/backends/openai.py
@@ -65,7 +65,31 @@
 
 
 class OpenAIBackend(FormatterBackend):
-    """A generic OpenAI compatible backend."""
+    """A generic OpenAI compatible backend.
+
+    Args:
+        model_id (str | ModelIdentifier): OpenAI-compatible model identifier.
+            Defaults to ``model_ids.OPENAI_GPT_5_1``.
+        formatter (ChatFormatter | None): Formatter for rendering components.
+            Defaults to ``TemplateFormatter``.
+        base_url (str | None): Base URL for the API endpoint; defaults to the
+            standard OpenAI endpoint if not set.
+        model_options (dict | None): Default model options for generation requests.
+        default_to_constraint_checking_alora (bool): If ``False``, deactivates aLoRA
+            constraint checking; primarily for benchmarking and debugging.
+        api_key (str | None): API key; falls back to ``OPENAI_API_KEY`` env var.
+        kwargs: Additional keyword arguments forwarded to the OpenAI client.
+
+    Attributes:
+        to_mellea_model_opts_map_chats (dict): Mapping from chat-endpoint option names
+            to Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map_chats (dict): Mapping from Mellea sentinel keys to
+            chat-endpoint option names.
+        to_mellea_model_opts_map_completions (dict): Mapping from completions-endpoint
+            option names to Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map_completions (dict): Mapping from Mellea sentinel keys
+            to completions-endpoint option names.
+    """
 
     def __init__(
         self,
@@ -78,17 +102,7 @@ def __init__(
         api_key: str | None = None,
         **kwargs,
     ):
-        """Initialize and OpenAI compatible backend. For any additional kwargs that you need to pass the the client, pass them as a part of **kwargs.
-
-        Args:
-            model_id : A generic model identifier or OpenAI compatible string. Defaults to model_ids.IBM_GRANITE_4_HYBRID_MICRO.
-            formatter: A custom formatter based on backend.If None, defaults to TemplateFormatter
-            base_url : Base url for LLM API. Defaults to None.
-            model_options : Generation options to pass to the LLM. Defaults to None.
-            default_to_constraint_checking_alora: If set to False then aloras will be deactivated. This is primarily for performance benchmarking and debugging.
-            api_key : API key for generation. Defaults to None.
-            kwargs : additional kwargs to pass when creating the OpenAI client.
-        """
+        """Initialize an OpenAI-compatible backend with the given model ID and API credentials."""
         super().__init__(
             model_id=model_id,
             formatter=(
@@ -206,15 +220,29 @@ def _async_client(self) -> openai.AsyncOpenAI:
 
     @staticmethod
     def filter_openai_client_kwargs(**kwargs) -> dict:
-        """Filter kwargs to only include valid OpenAI client parameters."""
+        """Filter kwargs to only include valid OpenAI client constructor parameters.
+
+        Args:
+            kwargs: Arbitrary keyword arguments to filter.
+
+        Returns:
+            dict: A dict containing only keys accepted by ``openai.OpenAI.__init__``.
+        """
         openai_params = set(inspect.signature(openai.OpenAI.__init__).parameters.keys())  # type: ignore
         openai_params.discard("self")  # Remove 'self' parameter
         return {k: v for k, v in kwargs.items() if k in openai_params}
 
     def filter_chat_completions_kwargs(self, model_options: dict) -> dict:
-        """Filter kwargs to only include valid OpenAI chat.completions.create parameters.
+        """Filter model options to only include valid OpenAI chat completions parameters.
+
+        See https://platform.openai.com/docs/api-reference/chat/create for the full
+        list of accepted parameters.
+
+        Args:
+            model_options (dict): Model options dict that may contain non-chat keys.
 
-        https://platform.openai.com/docs/api-reference/chat/create
+        Returns:
+            dict: A dict containing only keys accepted by ``chat.completions.create``.
         """
         from openai.resources.chat.completions import Completions
 
@@ -223,9 +251,16 @@ def filter_chat_completions_kwargs(self, model_options: dict) -> dict:
         return {k: v for k, v in model_options.items() if k in chat_params}
 
     def filter_completions_kwargs(self, model_options: dict) -> dict:
-        """Filter kwargs to only include valid OpenAI completions.create parameters.
+        """Filter model options to only include valid OpenAI completions parameters.
+
+        See https://platform.openai.com/docs/api-reference/completions for the full
+        list of accepted parameters.
 
-        https://platform.openai.com/docs/api-reference/completions
+        Args:
+            model_options (dict): Model options dict that may contain non-completions keys.
+
+        Returns:
+            dict: A dict containing only keys accepted by ``completions.create``.
         """
         from openai.resources.completions import Completions
 
@@ -303,7 +338,25 @@ async def generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """See `generate_from_chat_context`."""
+        """Generate a completion for ``action`` given ``ctx`` via the OpenAI chat API.
+
+        Delegates to ``generate_from_chat_context``. Only chat contexts are supported.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured/constrained output decoding.
+            model_options (dict | None): Per-call model options that override the
+                backend's defaults.
+            tool_calls (bool): If ``True``, expose available tools to the model and
+                parse tool-call responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         from ..telemetry.backend_instrumentation import start_generate_span
 
         assert ctx.is_chat_context, NotImplementedError(
@@ -342,7 +395,24 @@ async def generate_from_chat_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """Generates a new completion from the provided Context using this backend's `Formatter`."""
+        """Generate a new completion from the provided Context using this backend's ``Formatter``.
+
+        Formats the context and action into OpenAI-compatible chat messages, submits the
+        request asynchronously, and returns a thunk that lazily resolves the output.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context.
+            _format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured output decoding.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): If ``True``, expose available tools and parse responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         await self.do_generate_walk(action)
 
         mot = await self._generate_from_chat_context_standard(
@@ -507,9 +577,15 @@ async def _generate_from_chat_context_standard(
     async def processing(
         self, mot: ModelOutputThunk, chunk: ChatCompletion | ChatCompletionChunk
     ):
-        """Called during generation to add information from a single ChatCompletion or ChatCompletionChunk to the ModelOutputThunk.
+        """Accumulate content from a single OpenAI response object into the output thunk.
+
+        Called for each ``ChatCompletion`` (non-streaming) or ``ChatCompletionChunk``
+        (streaming). Tool call parsing is deferred to ``post_processing``.
 
-        For OpenAI, tool call parsing is handled in the post processing step.
+        Args:
+            mot (ModelOutputThunk): The output thunk being populated.
+            chunk (ChatCompletion | ChatCompletionChunk): A single response object or
+                streaming delta from the OpenAI API.
         """
         if mot._thinking is None:
             mot._thinking = ""
@@ -567,7 +643,22 @@ async def post_processing(
         seed,
         _format,
     ):
-        """Called when generation is done."""
+        """Finalize the output thunk after OpenAI generation completes.
+
+        Reconstructs a merged chat response from streaming chunks if applicable,
+        extracts any tool call requests, records token usage metrics, emits telemetry,
+        and attaches the generate log.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk to finalize.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name.
+            conversation (list[dict]): The chat conversation sent to the model,
+                used for logging.
+            thinking: The reasoning effort level passed to the model, or ``None``
+                if reasoning mode was not enabled.
+            seed: The random seed used during generation, or ``None``.
+            _format: The structured output format class used during generation, if any.
+        """
         # Reconstruct the chat_response from chunks if streamed.
         streamed_chunks = mot._meta.get("oai_chat_response_streamed", None)
         if streamed_chunks is not None:
@@ -691,7 +782,26 @@ async def generate_from_raw(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> list[ModelOutputThunk]:
-        """Generate using the completions api. Gives the input provided to the model without templating."""
+        """Generate completions for multiple actions without chat templating via the OpenAI completions API.
+
+        Passes formatted prompt strings directly to the completions endpoint.
+        Tool calling is not supported on this endpoint.
+
+        Args:
+            actions (Sequence[Component[C] | CBlock]): Actions to generate completions for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Optional Pydantic model for
+                structured output; passed as a guided-decoding parameter.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): Ignored; tool calling is not supported on this endpoint.
+
+        Returns:
+            list[ModelOutputThunk]: A list of model output thunks, one per action.
+
+        Raises:
+            openai.BadRequestError: If the request is invalid (e.g. when targeting an
+                Ollama server that does not support batched completion requests).
+        """
         await self.do_generate_walks(list(actions))
 
         extra_body = {}
diff --git a/mellea/backends/tools.py b/mellea/backends/tools.py
index 2aed992c3..125b19938 100644
--- a/mellea/backends/tools.py
+++ b/mellea/backends/tools.py
@@ -1,4 +1,11 @@
-"""Utilities for dealing with LLM tools."""
+"""LLM tool definitions, parsing, and validation for mellea backends.
+
+Provides the ``MelleaTool`` class (and the ``@tool`` decorator shorthand) for
+wrapping Python callables as OpenAI-compatible tool schemas, with factory methods
+for LangChain and smolagents interoperability. Also includes helpers for converting
+tool lists to JSON, extracting tool call requests from raw LLM output strings, and
+validating/coercing tool arguments against the tool's JSON schema using Pydantic.
+"""
 
 import inspect
 import json
@@ -17,7 +24,18 @@
 
 
 class MelleaTool(AbstractMelleaTool):
-    """Tool class to represent a tool."""
+    """Tool class to represent a callable tool with an OpenAI-compatible JSON schema.
+
+    Wraps a Python callable alongside its JSON schema representation so it can be
+    registered with backends that support tool calling (OpenAI, Ollama, HuggingFace, etc.).
+
+    Args:
+        name (str): The tool name used for identification and lookup.
+        tool_call (Callable): The underlying Python callable to invoke when the tool is run.
+        as_json_tool (dict[str, Any]): The OpenAI-compatible JSON schema dict describing
+            the tool's parameters.
+
+    """
 
     # Tool is what we pass as a model option / as input
     # Our ModelToolCall is the class that has a reference to the tool and actually calls with arguments
@@ -35,7 +53,15 @@ def __init__(
         self._call_tool = tool_call
 
     def run(self, *args, **kwargs) -> Any:
-        """Run the tool with the given arguments."""
+        """Run the tool with the given arguments.
+
+        Args:
+            args: Positional arguments forwarded to the underlying callable.
+            kwargs: Keyword arguments forwarded to the underlying callable.
+
+        Returns:
+            Any: The return value of the underlying callable.
+        """
         return self._call_tool(*args, **kwargs)
 
     @property
@@ -45,7 +71,18 @@ def as_json_tool(self) -> dict[str, Any]:
 
     @classmethod
     def from_langchain(cls, tool: Any):
-        """Create a Tool from a langchain tool object."""
+        """Create a MelleaTool from a LangChain tool object.
+
+        Args:
+            tool (Any): A ``langchain_core.tools.BaseTool`` instance to wrap.
+
+        Returns:
+            MelleaTool: A Mellea tool wrapping the LangChain tool.
+
+        Raises:
+            ImportError: If ``langchain-core`` is not installed.
+            ValueError: If ``tool`` is not a ``BaseTool`` instance.
+        """
         try:
             from langchain_core.tools import BaseTool  # type: ignore[import-not-found]
             from langchain_core.utils.function_calling import (  # type: ignore[import-not-found]
@@ -136,7 +173,18 @@ def tool_call(*args, **kwargs):
 
     @classmethod
     def from_callable(cls, func: Callable, name: str | None = None):
-        """Create a Tool from a callable."""
+        """Create a MelleaTool from a plain Python callable.
+
+        Introspects the callable's signature and docstring to build an
+        OpenAI-compatible JSON schema automatically.
+
+        Args:
+            func (Callable): The Python callable to wrap as a tool.
+            name (str | None): Optional name override; defaults to ``func.__name__``.
+
+        Returns:
+            MelleaTool: A Mellea tool wrapping the callable.
+        """
         # Use the function name if the name is '' or None.
         tool_name = name or func.__name__
         as_json = convert_function_to_ollama_tool(func, tool_name).model_dump(
@@ -223,6 +271,11 @@ def add_tools_from_model_options(
     """If model_options has tools, add those tools to the tools_dict.
 
     Accepts MelleaTool instances or @tool decorated functions.
+
+    Args:
+        tools_dict: Mutable mapping of tool name to tool instance; modified in-place.
+        model_options: Model options dict that may contain a ``ModelOption.TOOLS``
+            entry (either a list of ``MelleaTool`` or a ``dict[str, MelleaTool]``).
     """
     model_opts_tools = model_options.get(ModelOption.TOOLS, None)
     if model_opts_tools is None:
@@ -260,7 +313,13 @@ def add_tools_from_context_actions(
     tools_dict: dict[str, AbstractMelleaTool],
     ctx_actions: list[Component | CBlock] | None,
 ):
-    """If any of the actions in ctx_actions have tools in their template_representation, add those to the tools_dict."""
+    """If any of the actions in ctx_actions have tools in their template_representation, add those to the tools_dict.
+
+    Args:
+        tools_dict: Mutable mapping of tool name to tool instance; modified in-place.
+        ctx_actions: List of ``Component`` or ``CBlock`` objects whose template
+            representations may declare tools, or ``None`` to skip.
+    """
     if ctx_actions is None:
         return
 
@@ -279,6 +338,12 @@ def add_tools_from_context_actions(
 def convert_tools_to_json(tools: dict[str, AbstractMelleaTool]) -> list[dict]:
     """Convert tools to json dict representation.
 
+    Args:
+        tools: Mapping of tool name to ``AbstractMelleaTool`` instance.
+
+    Returns:
+        List of OpenAI-compatible JSON tool schema dicts, one per tool.
+
     Notes:
     - Huggingface transformers library lets you pass in an array of functions but doesn't like methods.
     - WatsonxAI uses `from langchain_ibm.chat_models import convert_to_openai_tool` in their demos, but it gives the same values.
@@ -288,7 +353,15 @@ def convert_tools_to_json(tools: dict[str, AbstractMelleaTool]) -> list[dict]:
 
 
 def json_extraction(text: str) -> Generator[dict, None, None]:
-    """Yields the next valid json object in a given string."""
+    """Yield the next valid JSON object found in a given string.
+
+    Args:
+        text: Input string potentially containing one or more JSON objects.
+
+    Returns:
+        A generator that yields each valid JSON object found in ``text``,
+        in order of appearance.
+    """
     index = 0
     decoder = json.JSONDecoder()
 
@@ -310,7 +383,15 @@ def json_extraction(text: str) -> Generator[dict, None, None]:
 def find_func(d) -> tuple[str | None, Mapping | None]:
     """Find the first function in a json-like dictionary.
 
-    Most llms output tool requests in the form `...{"name": string, "arguments": {}}...`
+    Most llms output tool requests in the form ``...{"name": string, "arguments": {}}...``
+
+    Args:
+        d: A JSON-like Python object (typically a ``dict``) to search for a function
+            call record.
+
+    Returns:
+        A ``(name, args)`` tuple where ``name`` is the tool name string and ``args``
+        is the arguments mapping, or ``(None, None)`` if no function call was found.
     """
     if not isinstance(d, dict):
         return None, None
@@ -336,7 +417,14 @@ def find_func(d) -> tuple[str | None, Mapping | None]:
 
 
 def parse_tools(llm_response: str) -> list[tuple[str, Mapping]]:
-    """A simple parser that will scan a string for tools and attempt to extract them; only works for json based outputs."""
+    """A simple parser that will scan a string for tools and attempt to extract them; only works for json based outputs.
+
+    Args:
+        llm_response: Raw string output from a language model.
+
+    Returns:
+        List of ``(tool_name, arguments)`` tuples for each tool call found.
+    """
     processed = " ".join(llm_response.split())
 
     tools = []
@@ -541,7 +629,12 @@ def validate_tool_arguments(
 # so that all backends don't need it installed.
 # https://github.com/ollama/ollama-python/blob/60e7b2f9ce710eeb57ef2986c46ea612ae7516af/ollama/_types.py#L19-L101
 class SubscriptableBaseModel(BaseModel):
-    """Class imported from Ollama."""
+    """Pydantic ``BaseModel`` subclass that also supports subscript (``[]``) access.
+
+    Imported from the Ollama Python client. Allows model fields to be accessed
+    via ``model["field"]`` in addition to ``model.field``, which is required for
+    compatibility with Ollama's internal response parsing.
+    """
 
     def __getitem__(self, key: str) -> Any:
         """Getitem.
@@ -614,7 +707,15 @@ def __contains__(self, key: str) -> bool:
         return False
 
     def get(self, key: str, default: Any = None) -> Any:
-        """Get.
+        """Return the value of a field by name, or a default if the field does not exist.
+
+        Args:
+            key (str): The field name to look up on the model.
+            default (Any): Value to return when ``key`` is not a field on the model.
+                Defaults to ``None``.
+
+        Returns:
+            Any: The field value if the attribute exists, otherwise ``default``.
 
         >>> msg = Message(role='user')
         >>> msg.get('role')
@@ -633,18 +734,42 @@ def get(self, key: str, default: Any = None) -> Any:
 
 # https://github.com/ollama/ollama-python/blob/60e7b2f9ce710eeb57ef2986c46ea612ae7516af/ollama/_types.py#L337-L363
 class OllamaTool(SubscriptableBaseModel):
-    """Class imported from Ollama."""
+    """Pydantic model for an Ollama-compatible tool schema, imported from the Ollama Python SDK.
+
+    Represents the JSON structure that Ollama (and OpenAI-compatible endpoints) expect
+    when a tool is passed to the chat API. Mellea builds these objects internally via
+    ``convert_function_to_ollama_tool`` and never exposes them to end users directly.
+
+    Attributes:
+        type (str | None): Tool type; always ``"function"`` for function-calling tools.
+        function (Function | None): Nested object containing the function name,
+            description, and parameters schema.
+    """
 
     type: str | None = "function"
 
     class Function(SubscriptableBaseModel):
-        """Class imported from Ollama."""
+        """Pydantic model for the ``function`` field of an Ollama tool schema, imported from the Ollama Python SDK.
+
+        Attributes:
+            name (str | None): The name of the function being described.
+            description (str | None): Human-readable description of what the function does.
+            parameters (Parameters | None): Schema describing the function's parameters.
+        """
 
         name: str | None = None
         description: str | None = None
 
         class Parameters(SubscriptableBaseModel):
-            """Class imported from Ollama."""
+            """Pydantic model for the ``parameters`` field of an Ollama function schema, imported from the Ollama Python SDK.
+
+            Attributes:
+                type (Literal["object"] | None): Always ``"object"`` for function parameters.
+                defs (Any | None): JSON Schema ``$defs`` for referenced sub-schemas.
+                items (Any | None): Array item schema, if applicable.
+                required (Sequence[str] | None): List of required parameter names.
+                properties (Mapping[str, Property] | None): Parameter property definitions.
+            """
 
             model_config = ConfigDict(populate_by_name=True)
             type: Literal["object"] | None = "object"
@@ -653,7 +778,14 @@ class Parameters(SubscriptableBaseModel):
             required: Sequence[str] | None = None
 
             class Property(SubscriptableBaseModel):
-                """Class imported from Ollama."""
+                """Pydantic model for a single parameter property in an Ollama tool schema, imported from the Ollama Python SDK.
+
+                Attributes:
+                    type (str | Sequence[str] | None): JSON Schema type string or list of type strings.
+                    items (Any | None): Schema for array element types, if applicable.
+                    description (str | None): Human-readable description of this parameter.
+                    enum (Sequence[Any] | None): Allowed values for this parameter, if constrained.
+                """
 
                 model_config = ConfigDict(arbitrary_types_allowed=True)
 
@@ -718,7 +850,18 @@ def _parse_docstring(doc_string: str | None) -> dict[str, str]:
 def convert_function_to_ollama_tool(
     func: Callable, name: str | None = None
 ) -> OllamaTool:
-    """Imported from Ollama."""
+    """Convert a Python callable to an Ollama-compatible tool schema.
+
+    Imported from Ollama.
+
+    Args:
+        func: The Python callable to convert.
+        name: Optional override for the tool name; defaults to ``func.__name__``.
+
+    Returns:
+        An ``OllamaTool`` instance representing the function as an OpenAI-compatible
+        tool schema.
+    """
     doc_string_hash = str(hash(inspect.getdoc(func)))
     parsed_docstring = _parse_docstring(inspect.getdoc(func))
     schema = type(
diff --git a/mellea/backends/utils.py b/mellea/backends/utils.py
index 4104c6502..5044a0f2a 100644
--- a/mellea/backends/utils.py
+++ b/mellea/backends/utils.py
@@ -1,4 +1,11 @@
-"""Utilities for Backends."""
+"""Shared utility functions used across formatter-based backend implementations.
+
+Provides ``to_chat``, which converts a ``Context`` and a ``Component`` action into
+the list of role/content dicts expected by ``apply_chat_template``; and
+``to_tool_calls``, which parses a raw model output string into validated
+``ModelToolCall`` objects. These helpers are consumed internally by all
+``FormatterBackend`` subclasses.
+"""
 
 from __future__ import annotations
 
@@ -38,9 +45,18 @@ def to_chat(
     formatter: ChatFormatter,
     system_prompt: str | None,
 ) -> list[Chat]:
-    """Converts a context and an action into a series of dicts to be passed to apply_chat_template .
+    """Converts a context and an action into a series of dicts to be passed to apply_chat_template.
 
     This function is used by local inference backends.
+
+    Args:
+        action: The next component or CBlock to generate output for.
+        ctx: The current conversation context.
+        formatter: The chat formatter used to convert context and action to messages.
+        system_prompt: Optional system prompt to prepend; overrides any system message in the context.
+
+    Returns:
+        List of role/content dicts suitable for ``apply_chat_template``.
     """
     assert ctx.is_chat_context
 
@@ -75,7 +91,15 @@ def to_chat(
 def to_tool_calls(
     tools: dict[str, AbstractMelleaTool], decoded_result: str
 ) -> dict[str, ModelToolCall] | None:
-    """Parse a tool call string."""
+    """Parse a tool call string.
+
+    Args:
+        tools: Mapping of tool name to the corresponding ``AbstractMelleaTool`` object.
+        decoded_result: Raw model output string that may contain tool call markup.
+
+    Returns:
+        Dict mapping tool name to validated ``ModelToolCall``, or ``None`` if no tool calls were found.
+    """
     model_tool_calls: dict[str, ModelToolCall] = dict()
     for tool_name, tool_args in parse_tools(decoded_result):
         func = tools.get(tool_name)
diff --git a/mellea/backends/vllm.py b/mellea/backends/vllm.py
index 85ce66308..230952119 100644
--- a/mellea/backends/vllm.py
+++ b/mellea/backends/vllm.py
@@ -69,6 +69,20 @@ class LocalVLLMBackend(FormatterBackend):
 
     Note: vLLM defaults to ~16 tokens. Always set ModelOption.MAX_NEW_TOKENS explicitly (100-1000+).
     Structured output needs 200-500+ tokens.
+
+    Args:
+        model_id (str | ModelIdentifier): HuggingFace model ID used to load model weights via vLLM.
+        formatter (ChatFormatter | None): Formatter for rendering components into prompts.
+            Defaults to a ``TemplateFormatter`` for the given ``model_id``.
+        model_options (dict | None): Default model options for generation requests.
+
+    Attributes:
+        to_mellea_model_opts_map (dict): Mapping from backend-specific option names to
+            Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map (dict): Mapping from Mellea ``ModelOption`` sentinel
+            keys to backend-specific option names.
+        engine_args (dict): vLLM engine arguments used at instantiation; retained so the
+            engine can be restarted when the event loop changes.
     """
 
     def __init__(
@@ -78,15 +92,7 @@ def __init__(
         *,
         model_options: dict | None = None,
     ):
-        """Attempt to load model weights using the model_id by default, or using `custom_config` if provided.
-
-        WARNING: initializing a `LocalHFBackend` will download and load the model on your *local* machine.
-
-        Args:
-            model_id (str | ModelIdentifier): Used to load the model *and tokenizer* via transformers Auto* classes, and then moves the model to the best available device (cuda > mps > cpu). If loading the model and/or tokenizer from a string will not work, or if you want to use a different device string, then you can use custom_config.
-            formatter (Formatter): A mechanism for turning `stdlib` stuff into strings. Experimental Span-based models should use `mellea.backends.span.*` backends.
-            model_options (Optional[dict]): Default model options.
-        """
+        """Load model weights via vLLM and initialize the async inference engine."""
         formatter = (
             formatter if formatter is not None else TemplateFormatter(model_id=model_id)
         )
@@ -243,7 +249,25 @@ async def generate_from_context(
         generate_logs: list[GenerateLog] | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """Generate using the huggingface model."""
+        """Generate a completion for ``action`` given the current ``ctx`` using the vLLM engine.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate a
+                completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured/constrained output decoding.
+            model_options (dict | None): Per-call model options that override the
+                backend's defaults.
+            generate_logs (list[GenerateLog] | None): Optional list to which a
+                ``GenerateLog`` entry will be appended.
+            tool_calls (bool): If ``True``, expose available tools to the model and
+                parse tool-call responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         await self.do_generate_walk(action)
 
         # Upsert model options.
@@ -364,7 +388,15 @@ async def _generate_from_context_standard(
             raise Exception("Does not yet support non-chat contexts.")
 
     async def processing(self, mot: ModelOutputThunk, chunk: vllm.RequestOutput):
-        """Process the returned chunks or the complete response."""
+        """Accumulate text from a single vLLM output chunk into the model output thunk.
+
+        Called during streaming or final generation to add each incremental result to
+        ``mot._underlying_value``.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk being populated.
+            chunk (vllm.RequestOutput): A single output from the vLLM generate stream.
+        """
         if mot._underlying_value is None:
             mot._underlying_value = ""
         mot._underlying_value += chunk.outputs[0].text
@@ -378,7 +410,21 @@ async def post_processing(
         tools: dict[str, AbstractMelleaTool],
         seed,
     ):
-        """Called when generation is done."""
+        """Finalize the model output thunk after generation completes.
+
+        Parses any tool calls from the raw output, attaches the generate log, and
+        records metadata needed for telemetry.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk to finalize.
+            conversation (list[dict]): The chat conversation sent to the model,
+                used for logging.
+            _format (type[BaseModelSubclass] | None): The structured output format
+                class used during generation, if any.
+            tool_calls (bool): Whether tool calling was enabled for this request.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name.
+            seed: The random seed used during generation, or ``None``.
+        """
         # The ModelOutputThunk must be computed by this point.
         assert mot.value is not None
 
@@ -442,7 +488,22 @@ async def generate_from_raw(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> list[ModelOutputThunk]:
-        """Generate using the completions api. Gives the input provided to the model without templating."""
+        """Generate completions for multiple actions without chat templating.
+
+        Passes the formatted prompt strings directly to vLLM's completion endpoint.
+        Tool calling is not supported by this method.
+
+        Args:
+            actions (Sequence[Component[C] | CBlock]): Actions to generate completions for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Optional Pydantic model for
+                structured output decoding.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): Ignored; tool calling is not supported on this endpoint.
+
+        Returns:
+            list[ModelOutputThunk]: A list of model output thunks, one per action.
+        """
         from ..telemetry.backend_instrumentation import instrument_generate_from_raw
 
         with instrument_generate_from_raw(
diff --git a/mellea/backends/watsonx.py b/mellea/backends/watsonx.py
index b7ac63545..8bc363aab 100644
--- a/mellea/backends/watsonx.py
+++ b/mellea/backends/watsonx.py
@@ -55,7 +55,31 @@
 
 
 class WatsonxAIBackend(FormatterBackend):
-    """A generic backend class for watsonx SDK."""
+    """A generic backend class for watsonx SDK.
+
+    Args:
+        model_id (str | ModelIdentifier): WatsonX model identifier. Defaults to
+            ``model_ids.IBM_GRANITE_4_HYBRID_SMALL``.
+        formatter (ChatFormatter | None): Formatter for rendering components.
+            Defaults to ``TemplateFormatter``.
+        base_url (str | None): URL for the WatsonX ML deployment endpoint;
+            defaults to the ``WATSONX_URL`` environment variable.
+        model_options (dict | None): Default model options for generation requests.
+        api_key (str | None): WatsonX API key; defaults to the
+            ``WATSONX_API_KEY`` environment variable.
+        project_id (str | None): WatsonX project ID; defaults to the
+            ``WATSONX_PROJECT_ID`` environment variable.
+
+    Attributes:
+        to_mellea_model_opts_map_chats (dict): Mapping from chat-endpoint option names
+            to Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map_chats (dict): Mapping from Mellea sentinel keys to
+            chat-endpoint option names.
+        to_mellea_model_opts_map_completions (dict): Mapping from completions-endpoint
+            option names to Mellea ``ModelOption`` sentinel keys.
+        from_mellea_model_opts_map_completions (dict): Mapping from Mellea sentinel
+            keys to completions-endpoint option names.
+    """
 
     def __init__(
         self,
@@ -68,17 +92,7 @@ def __init__(
         project_id: str | None = None,
         **kwargs,
     ):
-        """A generic watsonx backend that wraps around the ibm_watsonx_ai sdk.
-
-        Args:
-            model_id  : Model id. Defaults to model_ids.IBM_GRANITE_4_HYBRID_SMALL.
-            formatter : input formatter. Defaults to TemplateFormatter in __init__.
-            base_url  : url for watson ML deployment. Defaults to env(WATSONX_URL).
-            model_options : Global model options to pass to the model. Defaults to None.
-            api_key : watsonx API key. Defaults to None.
-            project_id : watsonx project ID. Defaults to None.
-            kwargs : extra kwargs passed to model inference creation.
-        """
+        """Initialize a WatsonX AI backend using the ibm_watsonx_ai SDK."""
         # There are bugs with the Watsonx python sdk related to async event loops;
         # using the same watsonx backend across multiple event loops causes errors.
         warnings.warn(
@@ -177,7 +191,14 @@ def _get_watsonx_model_id(self) -> str:
         return watsonx_model_id
 
     def filter_chat_completions_kwargs(self, model_options: dict) -> dict:
-        """Filter kwargs to only include valid watsonx chat.completions.create parameters."""
+        """Filter kwargs to only include valid watsonx chat.completions.create parameters.
+
+        Args:
+            model_options (dict): Model options dict that may contain non-chat keys.
+
+        Returns:
+            dict: A dict containing only keys accepted by the WatsonX chat endpoint.
+        """
         # TextChatParameters.get_sample_params().keys() can't be completely trusted. It doesn't always contain all
         # all of the accepted keys. In version 1.3.39, max_tokens was removed even though it's still accepted.
         # It's a dataclass so use the fields function to get the names.
@@ -251,7 +272,26 @@ async def generate_from_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> tuple[ModelOutputThunk[C], Context]:
-        """See `generate_from_chat_context`."""
+        """Generate a completion for ``action`` given ``ctx`` via the WatsonX chat API.
+
+        Delegates to ``generate_from_chat_context``. Only chat contexts are
+        supported; raises ``NotImplementedError`` otherwise.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context (must be a chat context).
+            format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured/constrained output decoding.
+            model_options (dict | None): Per-call model options that override the
+                backend's defaults.
+            tool_calls (bool): If ``True``, expose available tools to the model and
+                parse tool-call responses.
+
+        Returns:
+            tuple[ModelOutputThunk[C], Context]: A thunk holding the (lazy) model output
+                and an updated context that includes ``action`` and the new output.
+        """
         assert ctx.is_chat_context, NotImplementedError(
             "The watsonx.ai backend only supports chat-like contexts."
         )
@@ -282,7 +322,28 @@ async def generate_from_chat_context(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> ModelOutputThunk[C]:
-        """Generates a new completion from the provided Context using this backend's `Formatter`."""
+        """Generate a new completion from the provided context using this backend's formatter.
+
+        Formats the context and action into WatsonX-compatible chat messages, submits
+        the request asynchronously, and returns a thunk that lazily resolves the output.
+
+        Args:
+            action (Component[C] | CBlock): The component or content block to generate
+                a completion for.
+            ctx (Context): The current generation context.
+            _format (type[BaseModelSubclass] | None): Optional Pydantic model class for
+                structured output decoding.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): If ``True``, expose available tools and parse responses.
+
+        Returns:
+            ModelOutputThunk[C]: A thunk holding the (lazy) model output.
+
+        Raises:
+            Exception: If ``action`` is an ``ALoraRequirement``, which is not
+                supported by this backend.
+            RuntimeError: If not called from a thread with a running event loop.
+        """
         await self.do_generate_walk(action)
 
         model_opts = self._simplify_and_merge(
@@ -401,9 +462,15 @@ async def generate_from_chat_context(
         return output
 
     async def processing(self, mot: ModelOutputThunk, chunk: dict):
-        """Called during generation to add information from a single ChatCompletion or ChatCompletionChunk to the ModelOutputThunk.
+        """Accumulate content from a single WatsonX response dict into the output thunk.
 
-        For OpenAI-like APIs, tool call parsing is handled in the post processing step.
+        Called for each non-streaming chat dict (with a ``"message"`` key) or
+        streaming delta dict (with a ``"delta"`` key). Tool call parsing is
+        handled in the post-processing step.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk being populated.
+            chunk (dict): A single response dict or streaming delta from the WatsonX API.
         """
         if mot._thinking is None:
             mot._thinking = ""
@@ -454,7 +521,20 @@ async def post_processing(
         seed,
         _format,
     ):
-        """Called when generation is done."""
+        """Finalize the output thunk after WatsonX generation completes.
+
+        Reconstructs a merged chat response from streaming chunks if applicable,
+        extracts any tool call requests, records token usage metrics, emits telemetry,
+        and attaches the generate log.
+
+        Args:
+            mot (ModelOutputThunk): The output thunk to finalize.
+            conversation (list[dict]): The chat conversation sent to the model,
+                used for logging.
+            tools (dict[str, AbstractMelleaTool]): Available tools, keyed by name.
+            seed: The random seed used during generation, or ``None``.
+            _format: The structured output format class used during generation, if any.
+        """
         # Reconstruct the chat_response from chunks if streamed.
         streamed_chunks = mot._meta.get("oai_chat_response_streamed", None)
         if streamed_chunks is not None:
@@ -581,7 +661,21 @@ async def generate_from_raw(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> list[ModelOutputThunk]:
-        """Generates a completion text. Gives the input provided to the model without templating."""
+        """Generate completions for multiple actions without chat templating via WatsonX.
+
+        Passes formatted prompt strings directly to WatsonX's generate endpoint.
+        The ``format`` parameter is not supported and will be ignored with a warning.
+
+        Args:
+            actions (Sequence[Component[C] | CBlock]): Actions to generate completions for.
+            ctx (Context): The current generation context.
+            format (type[BaseModelSubclass] | None): Not supported; ignored with a warning.
+            model_options (dict | None): Per-call model options.
+            tool_calls (bool): Ignored; tool calling is not supported on this endpoint.
+
+        Returns:
+            list[ModelOutputThunk]: A list of model output thunks, one per action.
+        """
         with instrument_generate_from_raw(
             backend=self, num_actions=len(actions), format=format, tool_calls=tool_calls
         ):
diff --git a/mellea/core/__init__.py b/mellea/core/__init__.py
index f35b3df78..b031df6ab 100644
--- a/mellea/core/__init__.py
+++ b/mellea/core/__init__.py
@@ -1,4 +1,13 @@
-"""Core Library for Mellea Interfaces."""
+"""Core abstractions for the mellea library.
+
+This package defines the fundamental interfaces and data structures on which every
+other layer of mellea is built: the ``Backend``, ``Formatter``, and
+``SamplingStrategy`` protocols; the ``Component``, ``CBlock``, ``Context``, and
+``ModelOutputThunk`` data types that flow through the inference pipeline; and
+``Requirement`` / ``ValidationResult`` for constrained generation. Start here when
+building a new backend, formatter, or sampling strategy, or when you need the type
+definitions shared across the library.
+"""
 
 from .backend import Backend, BaseModelSubclass, generate_walk
 from .base import (
diff --git a/mellea/core/backend.py b/mellea/core/backend.py
index 7f0c88e68..ce8e8c9c2 100644
--- a/mellea/core/backend.py
+++ b/mellea/core/backend.py
@@ -1,4 +1,11 @@
-"""Interfaces for Backends and Generation."""
+"""Abstract ``Backend`` interface and generation-walk utilities.
+
+Defines the ``Backend`` abstract base class whose two key abstract methods —
+``generate_from_context`` (context-aware single-action generation) and
+``generate_from_raw`` (context-free batch generation) — all concrete backends must
+implement. Also provides ``generate_walk``, which traverses a ``Component`` tree to
+find un-computed ``ModelOutputThunk`` leaves that need to be resolved before rendering.
+"""
 
 import abc
 import asyncio
@@ -29,7 +36,13 @@
 
 
 class Backend(abc.ABC):
-    """An abstract `Backend`."""
+    """Abstract base class for all inference backends.
+
+    All concrete backends must implement ``generate_from_context`` (context-aware
+    single-action generation) and ``generate_from_raw`` (context-free batch
+    generation). The ``do_generate_walk`` / ``do_generate_walks`` helpers can be
+    used to pre-compute any unresolved ``ModelOutputThunk`` leaves before rendering.
+    """
 
     @abc.abstractmethod
     async def generate_from_context(
@@ -95,12 +108,22 @@ async def generate_from_raw(
             format: A response format to used for structured outputs / constrained decoding. Note: some backends do not support this parameter. They will log warnings and continue to generate.
             model_options: Any model options to upsert into the defaults for this call.
             tool_calls: Always set to false unless supported by backend.
+
+        Returns:
+            list[ModelOutputThunk]: A list of output thunks, one per action, in the same order as ``actions``.
         """
 
     async def do_generate_walk(
         self, action: CBlock | Component | ModelOutputThunk
     ) -> None:
-        """Does the generation walk."""
+        """Awaits all uncomputed ``ModelOutputThunk`` leaves reachable from ``action``.
+
+        Traverses the component tree rooted at ``action`` via ``generate_walk``, collects
+        any uncomputed ``ModelOutputThunk`` nodes, and concurrently awaits them all.
+
+        Args:
+            action (CBlock | Component | ModelOutputThunk): The root node to traverse.
+        """
         _to_compute = list(generate_walk(action))
         coroutines = [x.avalue() for x in _to_compute]
         # The following log message might get noisy. Feel free to remove if so.
@@ -113,7 +136,14 @@ async def do_generate_walk(
     async def do_generate_walks(
         self, actions: list[CBlock | Component | ModelOutputThunk]
     ) -> None:
-        """Does the generation walk."""
+        """Awaits all uncomputed ``ModelOutputThunk`` leaves reachable from each action in ``actions``.
+
+        Traverses the component tree of every action in the list via ``generate_walk``, collects
+        all uncomputed ``ModelOutputThunk`` nodes across all actions, and concurrently awaits them.
+
+        Args:
+            actions (list[CBlock | Component | ModelOutputThunk]): The list of root nodes to traverse.
+        """
         _to_compute = []
         for action in actions:
             _to_compute.extend(list(generate_walk(action)))
@@ -127,7 +157,19 @@ async def do_generate_walks(
 
 
 def generate_walk(c: CBlock | Component | ModelOutputThunk) -> list[ModelOutputThunk]:
-    """Returns the generation walk ordering for a Span."""
+    """Return all uncomputed ``ModelOutputThunk`` leaves reachable from ``c``.
+
+    Args:
+        c: A ``CBlock``, ``Component``, or ``ModelOutputThunk`` to traverse.
+
+    Returns:
+        A flat list of uncomputed ``ModelOutputThunk`` instances in the order
+        they need to be resolved (depth-first over ``Component.parts()``).
+
+    Raises:
+        ValueError: If any element encountered during traversal is not a ``CBlock``,
+            ``Component``, or ``ModelOutputThunk``.
+    """
     match c:
         case ModelOutputThunk() if not c.is_computed():
             return [c]
diff --git a/mellea/core/base.py b/mellea/core/base.py
index 4ec601e0a..669cf4b93 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -1,4 +1,13 @@
-"""Core Classes and Data Structures."""
+"""Foundational data structures for mellea's generative programming model.
+
+Defines the building blocks that flow through every layer of the library: ``CBlock``
+(a content block wrapping a string value), ``Component`` (an abstract composable
+generative unit), ``ModelOutputThunk`` (a lazily-evaluated model response),
+``Context`` and ``ContextTurn`` (stateful conversation history containers),
+``TemplateRepresentation`` (the structured rendering of a component for prompt
+templates), ``ImageBlock``, and ``ModelToolCall``. Understanding these types is
+the starting point for building custom components or sampling strategies.
+"""
 
 from __future__ import annotations
 
@@ -19,7 +28,15 @@
 
 
 class CBlock:
-    """A `CBlock` is a block of content that can serve as input to or output from an LLM."""
+    """A `CBlock` is a block of content that can serve as input to or output from an LLM.
+
+    Args:
+        value (str | None): The underlying string content of the block.
+        meta (dict[str, Any] | None): Optional metadata about this block (e.g., the inference engine's
+            completion object). Defaults to an empty dict.
+        cache (bool): If ``True``, the inference engine may store the KV cache for this block. Experimental.
+
+    """
 
     def __init__(
         self,
@@ -28,13 +45,7 @@ def __init__(
         *,
         cache: bool = False,
     ):
-        """Initializes the CBlock with a string and some metadata.
-
-        Args:
-            value: the underlying value stored in this CBlock
-            meta: Any meta-information about this CBlock (e.g., the inference engine's Completion object).
-            cache: If set to `True` then this CBlock's KV cache might be stored by the inference engine. Experimental.
-        """
+        """Initialize CBlock with a string value and optional metadata."""
         if value is not None and not isinstance(value, str):
             raise TypeError("value to a Cblock should always be a string or None")
         self._underlying_value = value
@@ -63,10 +74,20 @@ def __repr__(self):
 
 
 class ImageBlock(CBlock):
-    """A `ImageBlock` represents an image (as base64 PNG)."""
+    """A `ImageBlock` represents an image (as base64 PNG).
+
+    Args:
+        value (str): A valid base64-encoded PNG string (with or without a data URI prefix).
+        meta (dict[str, Any] | None): Optional metadata to associate with this image block.
+
+    """
 
     def __init__(self, value: str, meta: dict[str, Any] | None = None):
-        """Initializes the ImageBlock with a base64 PNG string representation and some metadata."""
+        """Initialize ImageBlock with a base64-encoded PNG string, validating the encoding.
+
+        Raises:
+            AssertionError: If ``value`` is not a valid base64-encoded PNG string.
+        """
         assert self.is_valid_base64_png(value), (
             "Invalid base64 string representation of image."
         )
@@ -74,7 +95,17 @@ def __init__(self, value: str, meta: dict[str, Any] | None = None):
 
     @staticmethod
     def is_valid_base64_png(s: str) -> bool:
-        """Checks if a string is a valid base64 string [AIA PAI Nc Hin R v1.0]."""
+        """Checks whether a string is a valid base64-encoded PNG image.
+
+        Strips any data URI prefix before decoding. Adds padding characters if
+        necessary to make the base64 string a valid length.
+
+        Args:
+            s (str): The string to validate, optionally prefixed with a data URI header.
+
+        Returns:
+            bool: ``True`` if the string decodes to a PNG image, ``False`` otherwise.
+        """
         try:
             # Check if the string has a data URI prefix and remove it.
             if "data:" in s and "base64," in s:
@@ -103,7 +134,14 @@ def is_valid_base64_png(s: str) -> bool:
 
     @staticmethod
     def pil_to_base64(image: PILImage.Image) -> str:
-        """Converts a PIL image to a base64 string representation."""
+        """Converts a PIL image to a base64-encoded PNG string.
+
+        Args:
+            image (PILImage.Image): The PIL image to encode.
+
+        Returns:
+            str: A base64-encoded string of the image serialised as PNG.
+        """
         img_io = BytesIO()
         image.save(img_io, "PNG")
         return base64.b64encode(img_io.getvalue()).decode("utf-8")
@@ -112,7 +150,18 @@ def pil_to_base64(image: PILImage.Image) -> str:
     def from_pil_image(
         cls, image: PILImage.Image, meta: dict[str, Any] | None = None
     ) -> ImageBlock:
-        """Converts a PIL image to a base64 string representation."""
+        """Creates an ``ImageBlock`` from a PIL image object.
+
+        Converts the image to a base64-encoded PNG string and wraps it in a new
+        ``ImageBlock`` instance.
+
+        Args:
+            image (PILImage.Image): The PIL image to encode.
+            meta (dict[str, Any] | None): Optional metadata to associate with the block.
+
+        Returns:
+            ImageBlock: A new ``ImageBlock`` containing the base64-encoded PNG.
+        """
         image_base64 = cls.pil_to_base64(image)
         return cls(image_base64, meta)
 
@@ -137,20 +186,43 @@ class Component(Protocol, Generic[S]):
     """A `Component` is a composite data structure that is intended to be represented to an LLM."""
 
     def parts(self) -> list[Component | CBlock]:
-        """The set of all the constituent parts of the `Component`."""
+        """Returns the set of all constituent sub-components and content blocks of this ``Component``.
+
+        Returns:
+            list[Component | CBlock]: A list of child ``Component`` or ``CBlock`` objects that make
+            up this component. The list may be empty for leaf components.
+
+        Raises:
+            NotImplementedError: If the concrete subclass has not overridden this method.
+        """
         raise NotImplementedError("parts isn't implemented by default")
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """Formats the `Component` into a `TemplateRepresentation` or string.
+        """Formats the ``Component`` into a ``TemplateRepresentation`` or plain string for LLM consumption.
+
+        Returns:
+            TemplateRepresentation | str: A structured ``TemplateRepresentation`` (for components
+            with tools, fields, or templates) or a plain string for simple components.
 
-        Returns: a `TemplateRepresentation` or string
+        Raises:
+            NotImplementedError: If the concrete subclass has not overridden this method.
         """
         raise NotImplementedError("format_for_llm isn't implemented by default")
 
     def parse(self, computed: ModelOutputThunk) -> S:
-        """Parse the expected type from a given `ModelOutputThunk`.
+        """Parses the expected type ``S`` from a given ``ModelOutputThunk``.
+
+        Delegates to the component's underlying ``_parse`` method and wraps any
+        exception in a ``ComponentParseError`` for uniform error handling.
 
-        Calls the Component's underlying `._parse` function.
+        Args:
+            computed (ModelOutputThunk): The model output thunk whose value should be parsed.
+
+        Returns:
+            S: The parsed result produced by ``_parse``, typed according to the component's type parameter.
+
+        Raises:
+            ComponentParseError: If the underlying ``_parse`` call raises any exception.
         """
         try:
             return self._parse(computed)
@@ -163,7 +235,13 @@ def _parse(self, computed: ModelOutputThunk) -> S:
 
 
 class GenerateType(enum.Enum):
-    """Used to track what functions can be used to extract a value from a ModelOutputThunk."""
+    """Used to track what functions can be used to extract a value from a ModelOutputThunk.
+
+    Attributes:
+        NONE (None): No generation function has been set; the thunk is either already computed or uninitialized.
+        ASYNC (int): The generation function is async-compatible; ``avalue``/``astream`` may be used.
+        SYNC (int): The generation function is synchronous only; async extraction methods are unavailable.
+    """
 
     NONE = None
     ASYNC = 1
@@ -171,7 +249,15 @@ class GenerateType(enum.Enum):
 
 
 class ModelOutputThunk(CBlock, Generic[S]):
-    """A `ModelOutputThunk` is a special type of `CBlock` that we know came from a model's output. It is possible to instantiate one without the output being computed yet."""
+    """A `ModelOutputThunk` is a special type of `CBlock` that we know came from a model's output. It is possible to instantiate one without the output being computed yet.
+
+    Args:
+        value (str | None): The raw model output string, or ``None`` if not yet computed.
+        meta (dict[str, Any] | None): Optional metadata from the inference engine (e.g., completion object).
+        parsed_repr (S | None): An already-parsed representation to attach; set when re-wrapping existing output.
+        tool_calls (dict[str, ModelToolCall] | None): Tool calls returned by the model alongside the text output.
+
+    """
 
     def __init__(
         self,
@@ -180,7 +266,7 @@ def __init__(
         parsed_repr: S | None = None,
         tool_calls: dict[str, ModelToolCall] | None = None,
     ):
-        """Initializes as a cblock, optionally also with a parsed representation from an output formatter."""
+        """Initialize ModelOutputThunk with an optional pre-computed value and metadata."""
         super().__init__(value, meta)
 
         self.parsed_repr: S | None = parsed_repr
@@ -232,7 +318,13 @@ def value(self, v: str):
         self._underlying_value = v
 
     async def avalue(self) -> str:
-        """Returns the value of the ModelOutputThunk. Can be used for both async streaming and async non-streaming.
+        """Returns the fully resolved value of the ModelOutputThunk, awaiting generation if necessary.
+
+        Can be used for both async streaming and async non-streaming backends. If the
+        thunk is already computed the value is returned immediately.
+
+        Returns:
+            str: The complete text output from the model.
 
         Raises:
             Exception: Propagates any errors from the underlying inference engine api request.
@@ -257,12 +349,15 @@ async def avalue(self) -> str:
     async def astream(self) -> str:
         """Returns the ModelOutputThunk's partial value including the next chunk(s). Can be used for both async streaming and async non-streaming.
 
-        Returns the value of the ModelOutputThunk if streaming is done.
+        Returns the complete value of the ModelOutputThunk if streaming is done.
 
         **Note**: Be careful with calling this function. Only call it from one location at a time. This means you shouldn't pass a ModelOutputThunk to
         multiple coroutines/tasks and call astream from those coroutines/tasks simultaneously. We have considered solutions to this but are waiting until
         we see this error happen in a real use case.
 
+        Returns:
+            str: The accumulated output text up to and including the newly received chunk(s).
+
         Raises:
             Exception: Propagates any errors from the underlying inference engine api request.
             RuntimeError: If called when the ModelOutputThunk's generate function is not async compatible.
@@ -426,7 +521,15 @@ def __deepcopy__(self, memo):
 
 @dataclass
 class ContextTurn:
-    """A turn of model input and model output."""
+    """A turn of model input and model output.
+
+    Args:
+        model_input (CBlock | Component | None): The input component or content block for this turn,
+            or ``None`` for an output-only partial turn.
+        output (ModelOutputThunk | None): The model's output thunk for this turn,
+            or ``None`` for an input-only partial turn.
+
+    """
 
     model_input: CBlock | Component | None
     output: ModelOutputThunk | None
@@ -439,6 +542,14 @@ class Context(abc.ABC):
     """A `Context` is used to track the state of a `MelleaSession`.
 
     A context is immutable. Every alteration leads to a new context.
+
+    Attributes:
+        is_root_node (bool): ``True`` when this context is the root (empty) node of the linked list.
+        previous_node (Context | None): The context node from which this one was created,
+            or ``None`` for the root node.
+        node_data (Component | CBlock | None): The data associated with this context node,
+            or ``None`` for the root node.
+        is_chat_context (bool): Whether this context operates in chat (multi-turn) mode.
     """
 
     _previous: Context | None
@@ -458,7 +569,15 @@ def __init__(self):
     def from_previous(
         cls: type[ContextT], previous: Context, data: Component | CBlock
     ) -> ContextT:
-        """Constructs a new context from an existing context."""
+        """Constructs a new context node linked to an existing context node.
+
+        Args:
+            previous (Context): The existing context to extend.
+            data (Component | CBlock): The component or content block to associate with the new node.
+
+        Returns:
+            ContextT: A new context instance whose ``previous_node`` is ``previous``.
+        """
         assert isinstance(previous, Context), (
             "Cannot create a new context from a non-Context object."
         )
@@ -473,7 +592,11 @@ def from_previous(
 
     @classmethod
     def reset_to_new(cls: type[ContextT]) -> ContextT:
-        """Returns an empty context for convenience."""
+        """Returns a new empty (root) context.
+
+        Returns:
+            ContextT: A freshly initialised root context with no data or history.
+        """
         return cls()
 
     # Internal functions below this line.
@@ -507,9 +630,16 @@ def is_chat_context(self) -> bool:
     # User functions below this line.
 
     def as_list(self, last_n_components: int | None = None) -> list[Component | CBlock]:
-        """Returns a list of the last n components in the context sorted from FIRST TO LAST.
+        """Returns a list of context components sorted from earliest (first) to most recent (last).
 
         If `last_n_components` is `None`, then all components are returned.
+
+        Args:
+            last_n_components (int | None): Maximum number of most-recent components to include.
+                Pass ``None`` to return the full history.
+
+        Returns:
+            list[Component | CBlock]: Components in chronological order (oldest first).
         """
         context_list: list[Component | CBlock] = []
         current_context: Context = self
@@ -535,14 +665,29 @@ def as_list(self, last_n_components: int | None = None) -> list[Component | CBlo
         return context_list
 
     def actions_for_available_tools(self) -> list[Component | CBlock] | None:
-        """Provides a list of actions to extract tools from for use with during generation, or None if that's not possible.
+        """Provides a list of actions to extract tools from for use during generation.
+
+        Returns ``None`` if it is not possible to construct such a list. Can be used to make
+        the available tools differ from the tools of all the actions in the context. Can be
+        overridden by subclasses.
 
-        Can be used to make the available tools differ from the tools of all the actions in the context. Can be overwritten by subclasses.
+        Returns:
+            list[Component | CBlock] | None: The list of actions whose tools should be made
+            available during generation, or ``None`` if unavailable.
         """
         return self.view_for_generation()
 
     def last_output(self, check_last_n_components: int = 3) -> ModelOutputThunk | None:
-        """The last output thunk of the context."""
+        """Returns the most recent ``ModelOutputThunk`` found within the last N context components.
+
+        Args:
+            check_last_n_components (int): Number of most-recent components to search through.
+                Defaults to 3.
+
+        Returns:
+            ModelOutputThunk | None: The most recent output thunk, or ``None`` if none is found
+            within the searched components.
+        """
         for c in self.as_list(last_n_components=check_last_n_components)[::-1]:
             if isinstance(c, ModelOutputThunk):
                 return c
@@ -573,25 +718,54 @@ def last_turn(self):
 
     @abc.abstractmethod
     def add(self, c: Component | CBlock) -> Context:
-        """Returns a new context obtained by adding `c` to this context."""
+        """Returns a new context obtained by appending ``c`` to this context.
+
+        Args:
+            c (Component | CBlock): The component or content block to add to the context.
+
+        Returns:
+            Context: A new context node with ``c`` as its data and this context as its previous node.
+        """
         # something along ....from_previous(self, c)
         ...
 
     @abc.abstractmethod
     def view_for_generation(self) -> list[Component | CBlock] | None:
-        """Provides a linear list of context components to use for generation, or None if that is not possible to construct."""
+        """Provides a linear list of context components to use for generation.
+
+        Returns ``None`` if it is not possible to construct such a list (e.g., the context
+        is in an inconsistent state). Concrete subclasses define the ordering and filtering logic.
+
+        Returns:
+            list[Component | CBlock] | None: An ordered list of components suitable for passing
+            to a backend, or ``None`` if generation is not currently possible.
+        """
         ...
 
 
 class AbstractMelleaTool(abc.ABC):
-    """Abstract base class for Mellea Tool."""
+    """Abstract base class for Mellea Tool.
+
+    Attributes:
+        name (str): The unique name used to identify the tool in JSON descriptions and tool-call dispatch.
+        as_json_tool (dict[str, Any]): A JSON-serialisable description of the tool, compatible with
+            the function-calling schemas expected by supported inference backends.
+    """
 
     name: str
     """Name of the tool."""
 
     @abc.abstractmethod
-    def run(self, *args, **kwargs) -> Any:
-        """Runs the tool on the given arguments."""
+    def run(self, *args: Any, **kwargs: Any) -> Any:
+        """Executes the tool with the provided arguments and returns the result.
+
+        Args:
+            *args: Positional arguments forwarded to the tool implementation.
+            **kwargs: Keyword arguments forwarded to the tool implementation.
+
+        Returns:
+            Any: The result produced by the tool; the concrete type depends on the implementation.
+        """
 
     @property
     @abc.abstractmethod
@@ -601,7 +775,19 @@ def as_json_tool(self) -> dict[str, Any]:
 
 @dataclass
 class TemplateRepresentation:
-    """Representing a component as a set of important attributes that can be consumed by the formatter."""
+    """Representing a component as a set of important attributes that can be consumed by the formatter.
+
+    Args:
+        obj (Any): The original component object being represented.
+        args (dict): Named arguments extracted from the component for template substitution.
+        tools (dict[str, AbstractMelleaTool] | None): Tools available for this representation,
+            keyed by the tool's function name. Defaults to ``None``.
+        fields (list[Any] | None): An optional ordered list of field values for positional templates.
+        template (str | None): An optional Jinja2 template string to use when rendering.
+        template_order (list[str] | None): An optional ordering hint for template sections/keys.
+        images (list[ImageBlock] | None): Optional list of image blocks associated with this representation.
+
+    """
 
     obj: Any
     args: dict[
@@ -619,10 +805,22 @@ class TemplateRepresentation:
 
 @dataclass
 class GenerateLog:
-    """A dataclass for capturing log entries.
+    """A dataclass for capturing log entries for a single generation call.
 
     GenerateLog provides a structured way to include various details in log entries, making it useful for maintaining detailed
     records of events or operations where context and additional data are significant.
+
+    Args:
+        date (datetime.datetime | None): Timestamp when the generation was logged.
+        prompt (str | list[dict] | None): The prompt string or chat-message list sent to the model.
+        backend (str | None): Identifier of the inference backend used for this generation.
+        model_options (dict[str, Any] | None): Model configuration options applied to this call.
+        model_output (Any | None): The raw output returned by the backend API.
+        action (Component | CBlock | None): The component or block that triggered the generation.
+        result (ModelOutputThunk | None): The ``ModelOutputThunk`` produced by this generation call.
+        is_final_result (bool | None): Whether this log entry corresponds to the definitive final result.
+        extra (dict[str, Any] | None): Arbitrary extra metadata to attach to the log entry.
+
     """
 
     date: datetime.datetime | None = None
@@ -641,6 +839,12 @@ class ModelToolCall:
     """A dataclass for capturing the tool calls a model wants to make.
 
     Provides a unified way to call tools post generation.
+
+    Args:
+        name (str): The name of the tool the model requested to call.
+        func (AbstractMelleaTool): The ``AbstractMelleaTool`` instance that will be invoked.
+        args (Mapping[str, Any]): The keyword arguments the model supplied for the tool call.
+
     """
 
     name: str
@@ -648,12 +852,26 @@ class ModelToolCall:
     args: Mapping[str, Any]
 
     def call_func(self) -> Any:
-        """A helper function for calling the function/tool represented by this object."""
+        """Invokes the tool represented by this object and returns the result.
+
+        Returns:
+            Any: The value returned by ``func.run(**args)``; the concrete type depends on the tool.
+        """
         return self.func.run(**self.args)
 
 
 def blockify(s: str | CBlock | Component) -> CBlock | Component:
-    """`blockify` is a helper function that turns raw strings into CBlocks."""
+    """Turn a raw string into a ``CBlock``, leaving ``CBlock`` and ``Component`` objects unchanged.
+
+    Args:
+        s: A plain string, ``CBlock``, or ``Component`` to normalise.
+
+    Returns:
+        A ``CBlock`` wrapping ``s`` if it was a string; otherwise ``s`` unchanged.
+
+    Raises:
+        Exception: If ``s`` is not a ``str``, ``CBlock``, or ``Component``.
+    """
     # noinspection PyUnreachableCode
     match s:
         case str():
@@ -667,7 +885,15 @@ def blockify(s: str | CBlock | Component) -> CBlock | Component:
 
 
 def get_images_from_component(c: Component) -> None | list[ImageBlock]:
-    """Gets images from a `Component` if they are present and a non-empty list, otherwise returns None."""
+    """Return the images attached to a ``Component``, or ``None`` if absent or empty.
+
+    Args:
+        c: The ``Component`` whose ``images`` attribute is inspected.
+
+    Returns:
+        A non-empty list of ``ImageBlock`` objects if the component has an
+        ``images`` attribute with at least one element; ``None`` otherwise.
+    """
     if hasattr(c, "images"):
         imgs = c.images  # type: ignore
         if imgs is not None:
diff --git a/mellea/core/formatter.py b/mellea/core/formatter.py
index bed99a052..faf53d5fa 100644
--- a/mellea/core/formatter.py
+++ b/mellea/core/formatter.py
@@ -1,4 +1,11 @@
-"""Interfaces for Formatters."""
+"""Abstract ``Formatter`` interface for rendering components to strings.
+
+A ``Formatter`` converts ``Component`` and ``CBlock`` objects into the text strings
+fed to language model prompts. The single abstract method ``print`` encapsulates this
+rendering contract; concrete subclasses such as ``ChatFormatter`` and
+``TemplateFormatter`` extend it with chat-message and Jinja2-template rendering
+respectively.
+"""
 
 import abc
 
@@ -10,5 +17,12 @@ class Formatter(abc.ABC):
 
     @abc.abstractmethod
     def print(self, c: Component | CBlock) -> str:
-        """Renders a component for input to a model."""
+        """Renders a ``Component`` or ``CBlock`` into a string suitable for use as model input.
+
+        Args:
+            c (Component | CBlock): The component or content block to render.
+
+        Returns:
+            str: The rendered string representation of ``c``.
+        """
         ...
diff --git a/mellea/core/requirement.py b/mellea/core/requirement.py
index feb0559f6..ca780037d 100644
--- a/mellea/core/requirement.py
+++ b/mellea/core/requirement.py
@@ -1,4 +1,12 @@
-"""Interface for Requirements."""
+"""``Requirement`` interface for constrained and validated generation.
+
+A ``Requirement`` pairs a human-readable description with a validation function that
+inspects a ``Context`` (and optionally a backend) to determine whether a model output
+meets a constraint. ``ValidationResult`` carries the pass/fail verdict along with an
+optional reason, score, and the ``ModelOutputThunk`` produced during validation.
+Helper factories such as ``default_output_to_bool`` make it easy to build requirements
+without boilerplate.
+"""
 
 import re
 from collections.abc import Callable
@@ -9,7 +17,16 @@
 
 
 class ValidationResult:
-    """ValidationResults store the output of a Requirement's validation. They can be used to return additional info from validation functions, which is useful for sampling/repairing."""
+    """ValidationResults store the output of a Requirement's validation. They can be used to return additional info from validation functions, which is useful for sampling/repairing.
+
+    Args:
+        result (bool): Boolean indicating whether the requirement passed.
+        reason (str | None): Optional human-readable explanation for the verdict.
+        score (float | None): Optional numeric score returned by the validator.
+        thunk (ModelOutputThunk | None): The ``ModelOutputThunk`` produced during LLM-as-a-Judge validation, if applicable.
+        context (Context | None): The context associated with the validation backend call, if applicable.
+
+    """
 
     def __init__(
         self,
@@ -20,17 +37,7 @@ def __init__(
         thunk: ModelOutputThunk | None = None,
         context: Context | None = None,
     ):
-        """The result of a requirement's validation.
-
-        A ValidationResult's result field always contains a definitive pass/fail. The other fields can be used to communicate additional information about that result.
-
-        Args:
-            result: a boolean that is true if the requirement passed
-            reason: a reason for the result
-            score: if your validator gives you a score back, you can add this as metadata
-            thunk: if your validator utilizes a backend to generate a response, the ModelOutputThunk returned from that request
-            context: if your validator utilizes a backend to generate a response, the context associated with that response
-        """
+        """Initialize ValidationResult with a pass/fail boolean and optional metadata."""
         self._result = result
         self._reason = reason
         self._score = score
@@ -58,7 +65,11 @@ def context(self) -> Context | None:
         return self._context
 
     def as_bool(self) -> bool:
-        """Return a boolean value based on the result."""
+        """Return a boolean value based on the validation result.
+
+        Returns:
+            bool: ``True`` if the requirement passed, ``False`` otherwise.
+        """
         return self._result
 
     def __bool__(self) -> bool:
@@ -67,10 +78,16 @@ def __bool__(self) -> bool:
 
 
 def default_output_to_bool(x: CBlock | str) -> bool:
-    """Checks if a given output should be marked converted to `True`.
+    """Convert a model output string to a boolean by checking for a "yes" answer.
+
+    Checks if the output is exactly equal to "yes" or "y" (case-insensitive). If not,
+    also checks if any of the words in the output are "yes" (case-insensitive).
+
+    Args:
+        x: The model output to evaluate, as a ``CBlock`` or plain string.
 
-    Checks if the output is exactly equal to "yes" or "y" (case-insensitive). If not, it will also
-    check if any of the words in the output are "yes" (case-insensitive).
+    Returns:
+        ``True`` if the output indicates a "yes" answer, ``False`` otherwise.
     """
     output = str(x)
 
@@ -85,7 +102,26 @@ def default_output_to_bool(x: CBlock | str) -> bool:
 
 
 class Requirement(Component[str]):
-    """Requirements are a special type of Component used as input to the Validate step in Instruct/Validate/Repair patterns."""
+    """Requirements are a special type of Component used as input to the Validate step in Instruct/Validate/Repair patterns.
+
+    Args:
+        description (str | None): A natural-language description of the requirement. Sometimes included in
+            ``Instruction`` prompts; use ``check_only=True`` to suppress this.
+        validation_fn (Callable[[Context], ValidationResult] | None): If provided, this function is executed
+            instead of LLM-as-a-Judge. The ``bool()`` of its return value defines pass/fail.
+        output_to_bool (Callable[[CBlock | str], bool] | None): Translates LLM-as-a-Judge output to a boolean.
+            Defaults to a "yes"-detection heuristic.
+        check_only (bool): When ``True``, the requirement description is excluded from ``Instruction`` prompts.
+
+    Attributes:
+        description (str | None): A natural-language description of the requirement.
+        output_to_bool (Callable[[CBlock | str], bool] | None): Function used to convert LLM-as-a-Judge
+            output into a boolean pass/fail result.
+        validation_fn (Callable[[Context], ValidationResult] | None): Optional custom validation
+            function that bypasses the LLM-as-a-Judge strategy entirely.
+        check_only (bool): When ``True``, the requirement description is excluded from ``Instruction``
+            prompts to avoid influencing model output.
+    """
 
     def __init__(
         self,
@@ -95,16 +131,7 @@ def __init__(
         output_to_bool: Callable[[CBlock | str], bool] | None = default_output_to_bool,
         check_only: bool = False,
     ):
-        """A Requirement, interpreted over a Context.
-
-          By default, requirements are validated by the model using LLM-as-a-Judge (or a `constraint` LoRA when available). However, you can also provide a `validate` function with arbitrary behavior.
-
-        Args:
-            description: A natural-language description of the requirement. This will sometimes be included in `Instruction` prompts; if you do not want the requirement to be included in the prompt to avoid [Purple Elephant Effects](https://${PROJECT_URL}/llm-requirement-engineering-and-purple-elephants/) use check_only=True.
-            validation_fn: If provided, this function will be executed instead of using LLM-as-a-Judge. The `bool()` for the function's output defines whether the requirement passes.
-            output_to_bool: An `output_to_bool` may be provided so that the library can translate the LLM-as-a-judge or ALora output into a boolean value. If none is provided, we will look for 'yes' (case-insensitive) in the LLMaJ output.
-            check_only: If set, then `Instruction` will not include this requirement in its prompt.
-        """
+        """Initialize Requirement with an optional description, validation function, and output converter."""
         self.description = description
         self.output_to_bool = output_to_bool
         self.validation_fn = validation_fn
@@ -121,7 +148,20 @@ async def validate(
         format: type[BaseModelSubclass] | None = None,
         model_options: dict | None = None,
     ) -> ValidationResult:
-        """Chooses the appropriate validation strategy and applies that strategy."""
+        """Chooses the appropriate validation strategy and applies it to the given context.
+
+        Uses ``validation_fn`` if one was provided, otherwise falls back to LLM-as-a-Judge
+        by generating a judgement response with the backend.
+
+        Args:
+            backend (Backend): The inference backend used when the LLM-as-a-Judge strategy is selected.
+            ctx (Context): The context to validate, which must contain a ``ModelOutputThunk`` as its last output.
+            format (type[BaseModelSubclass] | None): Optional structured output format for the judgement call.
+            model_options (dict | None): Optional model options to pass to the backend during the judgement call.
+
+        Returns:
+            ValidationResult: The result of the validation, including a boolean pass/fail and optional metadata.
+        """
         if self.validation_fn is not None:
             # Python validation strategy
             return self.validation_fn(ctx)
@@ -154,7 +194,16 @@ def parts(self) -> list[Component | CBlock]:
         return []
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """Some object protocol magic happens here with management of the output."""
+        """Returns a ``TemplateRepresentation`` for LLM-as-a-Judge evaluation of this requirement.
+
+        Populates the template with the requirement's ``description`` and the stored model
+        ``_output``. Must only be called from within a ``validate`` call for this same requirement,
+        after ``_output`` has been set.
+
+        Returns:
+            TemplateRepresentation | str: A ``TemplateRepresentation`` containing the description
+            and the model output to be judged.
+        """
         assert self._output is not None, (
             "Object protocol error: should never try to templatize a Requirement except inside of a validate call for that same requirement."
         )
diff --git a/mellea/core/sampling.py b/mellea/core/sampling.py
index 41b945e0f..0bf75badf 100644
--- a/mellea/core/sampling.py
+++ b/mellea/core/sampling.py
@@ -1,4 +1,12 @@
-"""Interfaces for Sampling Strategies."""
+"""Abstract interfaces for sampling strategies and their results.
+
+``SamplingStrategy`` defines the contract for all sampling algorithms: an async
+``sample`` method that takes an action, context, backend, and requirements, and
+returns a ``SamplingResult``. ``SamplingResult`` records the chosen generation
+alongside the full history of intermediate samples, their validation outcomes,
+and associated contexts — enabling detailed post-hoc inspection of the sampling
+process.
+"""
 
 import abc
 from typing import Generic
@@ -9,7 +17,29 @@
 
 
 class SamplingResult(CBlock, Generic[S]):
-    """Stores the results from a sampling operation. This includes successful and failed samplings."""
+    """Stores the results from a sampling operation. This includes successful and failed samplings.
+
+    Args:
+        result_index (int): Index into ``sample_generations`` identifying the chosen final output.
+        success (bool): Whether the sampling operation produced a passing result.
+        sample_generations (list[ModelOutputThunk[S]] | None): All output thunks generated during sampling.
+        sample_validations (list[list[tuple[Requirement, ValidationResult]]] | None): Per-generation validation
+            results; each inner list contains one tuple per requirement evaluated.
+        sample_actions (list[Component] | None): The actions used to produce each generation.
+        sample_contexts (list[Context] | None): The contexts associated with each generation.
+
+    Attributes:
+        result_index (int): Index into ``sample_generations`` identifying the chosen final output.
+        success (bool): Whether the sampling operation produced a passing result.
+        sample_generations (list[ModelOutputThunk[S]]): All output thunks generated during
+            sampling; always a list (``None`` input is normalised to ``[]``).
+        sample_validations (list[list[tuple[Requirement, ValidationResult]]]): Per-generation
+            validation results; always a list (``None`` input is normalised to ``[]``).
+        sample_actions (list[Component]): The actions used to produce each generation;
+            always a list (``None`` input is normalised to ``[]``).
+        sample_contexts (list[Context]): The contexts associated with each generation;
+            always a list (``None`` input is normalised to ``[]``).
+    """
 
     def __init__(
         self,
@@ -22,16 +52,7 @@ def __init__(
         sample_actions: list[Component] | None = None,
         sample_contexts: list[Context] | None = None,
     ):
-        """Initialize a new instance of sampling results.
-
-        Args:
-            result_index: The index of the final output or result from applying the sampling strategy.
-            success: A boolean indicating whether the operation was successful.
-            sample_generations: A list containing intermediate generations produced during the process.
-            sample_validations: For each generation a list of tuples of a requirement and a validation result.
-            sample_actions: A list of intermediate actions used to produce sampling results.
-            sample_contexts: A list of contexts produced by the generation results.
-        """
+        """Initialize SamplingResult with the chosen output index, success flag, and generation history."""
         if sample_generations is None:
             sample_generations = []
         if sample_validations is None:
diff --git a/mellea/core/utils.py b/mellea/core/utils.py
index 4d1bfdd66..91d87ee39 100644
--- a/mellea/core/utils.py
+++ b/mellea/core/utils.py
@@ -1,4 +1,10 @@
-"""Utils for Core Library."""
+"""Logging utilities for the mellea core library.
+
+Provides ``FancyLogger``, a singleton logger with colour-coded console output and
+an optional REST handler (``RESTHandler``) that forwards log records to a local
+``/api/receive`` endpoint when the ``FLOG`` environment variable is set. All
+internal mellea modules obtain their logger via ``FancyLogger.get_logger()``.
+"""
 
 import json
 import logging
@@ -9,7 +15,18 @@
 
 
 class RESTHandler(logging.Handler):
-    """RESTHandler for logging."""
+    """Logging handler that forwards records to a local REST endpoint.
+
+    Sends log records as JSON to ``/api/receive`` when the ``FLOG`` environment
+    variable is set. Failures are silently suppressed to avoid disrupting the
+    application.
+
+    Args:
+        api_url (str): The URL of the REST endpoint that receives log records.
+        method (str): HTTP method to use when sending records (default ``"POST"``).
+        headers (dict | None): HTTP headers to send; defaults to
+            ``{"Content-Type": "application/json"}`` when ``None``.
+    """
 
     def __init__(
         self, api_url: str, method: str = "POST", headers: dict[str, str] | None = None
@@ -21,7 +38,13 @@ def __init__(
         self.headers = headers or {"Content-Type": "application/json"}
 
     def emit(self, record: logging.LogRecord) -> None:
-        """Attempts to emit a record to FLOG, or silently fails."""
+        """Forwards a log record to the REST endpoint when the ``FLOG`` environment variable is set.
+
+        Silently suppresses any network or HTTP errors to avoid disrupting the application.
+
+        Args:
+            record (logging.LogRecord): The log record to forward.
+        """
         if os.environ.get("FLOG"):
             log_data = self.format(record)
             try:
@@ -38,10 +61,21 @@ def emit(self, record: logging.LogRecord) -> None:
 
 
 class JsonFormatter(logging.Formatter):
-    """Logging formatter for JSON."""
+    """Logging formatter that serialises log records as structured JSON dicts.
+
+    Includes timestamp, level, message, module, function name, line number,
+    process ID, thread ID, and (if present) exception information.
+    """
 
     def format(self, record):  # type: ignore
-        """Formats record as a JSON serializable object."""
+        """Formats a log record as a JSON-serialisable dictionary.
+
+        Includes timestamp, level, message, module, function name, line number,
+        process ID, thread ID, and exception info if present.
+
+        Args:
+            record (logging.LogRecord): The log record to format.
+        """
         log_record = {
             "timestamp": self.formatTime(record, self.datefmt),
             "level": record.levelname,
@@ -58,7 +92,17 @@ def format(self, record):  # type: ignore
 
 
 class CustomFormatter(logging.Formatter):
-    """A nice custom formatter copied from [Sergey Pleshakov's post on StackOverflow](https://stackoverflow.com/questions/384076/how-can-i-color-python-logging-output)."""
+    """A nice custom formatter copied from [Sergey Pleshakov's post on StackOverflow](https://stackoverflow.com/questions/384076/how-can-i-color-python-logging-output).
+
+    Attributes:
+        cyan (str): ANSI escape code for cyan text, used for DEBUG messages.
+        grey (str): ANSI escape code for grey text, used for INFO messages.
+        yellow (str): ANSI escape code for yellow text, used for WARNING messages.
+        red (str): ANSI escape code for red text, used for ERROR messages.
+        bold_red (str): ANSI escape code for bold red text, used for CRITICAL messages.
+        reset (str): ANSI escape code to reset text colour.
+        FORMATS (dict): Mapping from logging level integer to the colour-formatted format string.
+    """
 
     cyan = "\033[96m"  # Cyan
     grey = "\x1b[38;20m"
@@ -77,14 +121,38 @@ class CustomFormatter(logging.Formatter):
     }
 
     def format(self, record: logging.LogRecord) -> str:
-        """The format fn."""
+        """Formats a log record using a colour-coded ANSI format string based on the record's log level.
+
+        Args:
+            record (logging.LogRecord): The log record to format.
+
+        Returns:
+            str: The formatted log record string with ANSI colour codes applied.
+        """
         log_fmt = self.FORMATS.get(record.levelno)
         formatter = logging.Formatter(log_fmt, datefmt="%H:%M:%S")
         return formatter.format(record)
 
 
 class FancyLogger:
-    """A fancy logger."""
+    """Singleton logger with colour-coded console output and optional REST forwarding.
+
+    Obtain the shared logger instance via ``FancyLogger.get_logger()``. Log level
+    defaults to ``INFO`` but can be raised to ``DEBUG`` by setting the ``DEBUG``
+    environment variable. When the ``FLOG`` environment variable is set, records are
+    also forwarded to a local ``/api/receive`` REST endpoint via ``RESTHandler``.
+
+    Attributes:
+        logger (logging.Logger | None): The shared ``logging.Logger`` instance; ``None`` until first call to ``get_logger()``.
+        CRITICAL (int): Numeric level for critical log messages (50).
+        FATAL (int): Alias for ``CRITICAL`` (50).
+        ERROR (int): Numeric level for error log messages (40).
+        WARNING (int): Numeric level for warning log messages (30).
+        WARN (int): Alias for ``WARNING`` (30).
+        INFO (int): Numeric level for informational log messages (20).
+        DEBUG (int): Numeric level for debug log messages (10).
+        NOTSET (int): Numeric level meaning no level is set (0).
+    """
 
     logger = None
 
diff --git a/mellea/formatters/__init__.py b/mellea/formatters/__init__.py
index de782222f..c7489dc31 100644
--- a/mellea/formatters/__init__.py
+++ b/mellea/formatters/__init__.py
@@ -1,4 +1,12 @@
-"""Formatters."""
+"""Formatters for converting components into model-ready prompts.
+
+Formatters translate ``Component`` objects into the prompt strings or chat message
+lists that inference backends consume. This package exports the abstract ``Formatter``
+interface and two concrete implementations: ``ChatFormatter``, which converts
+components into role-labelled chat messages, and ``TemplateFormatter``, which renders
+them through Jinja2 templates. Pass a formatter when constructing a
+``FormatterBackend`` for your chosen model.
+"""
 
 # Import from core for ergonomics.
 from ..core import Formatter
diff --git a/mellea/formatters/chat_formatter.py b/mellea/formatters/chat_formatter.py
index 4f0848810..6ccfced05 100644
--- a/mellea/formatters/chat_formatter.py
+++ b/mellea/formatters/chat_formatter.py
@@ -1,4 +1,12 @@
-"""ChatFormatter."""
+"""``ChatFormatter`` for converting context histories to chat-message lists.
+
+``ChatFormatter`` is the standard formatter used by mellea's legacy backends. Its
+``to_chat_messages`` method linearises a sequence of ``Component`` and ``CBlock``
+objects into ``Message`` objects with ``user``, ``assistant``, or ``tool`` roles,
+handling ``ModelOutputThunk`` responses, image attachments, and parsed structured
+outputs. Concrete backends call this formatter when preparing input for a chat
+completion endpoint.
+"""
 
 from ..core import (
     CBlock,
@@ -14,7 +22,22 @@ class ChatFormatter(Formatter):
     """Formatter used by Legacy backends to format Contexts as Messages."""
 
     def to_chat_messages(self, cs: list[Component | CBlock]) -> list[Message]:
-        """Helper method that converts a linearized chat history into a list of messages. The purpose of this helper is to prepare a sequence of Messages for input to a chat endpoint."""
+        """Convert a linearized chat history into a list of chat messages.
+
+        Iterates over each element in the context history and converts it to a
+        ``Message`` with an appropriate role. ``ModelOutputThunk`` instances are
+        treated as assistant responses, while all other ``Component`` and
+        ``CBlock`` objects default to the ``user`` role. Image attachments and
+        parsed structured outputs are handled transparently.
+
+        Args:
+            cs (list[Component | CBlock]): The linearized sequence of context
+                components and code blocks to convert.
+
+        Returns:
+            list[Message]: A list of ``Message`` objects ready for submission to
+                a chat completion endpoint.
+        """
 
         def _to_msg(c: Component | CBlock) -> Message:
             role: Message.Role = "user"  # default to `user`; see ModelOutputThunk below for when the role changes.
diff --git a/mellea/formatters/granite/base/io.py b/mellea/formatters/granite/base/io.py
index 1e7bc6552..ece5ecce0 100644
--- a/mellea/formatters/granite/base/io.py
+++ b/mellea/formatters/granite/base/io.py
@@ -32,14 +32,17 @@ def transform(
         the string representation of the tokens that should be sent to the model to
         implement said request.
 
-        :param chat_completion: Structured representation of the inputs
-        :param add_generation_prompt: If ``True``, the returned prompt string will
-            contain a prefix of the next assistant response for use as a prompt to a
-            generation request. Otherwise, the prompt will only contain the messages and
-            documents in ``input``.
-
-        :returns: String that can be passed to the model's tokenizer to create a prompt
-            for generation.
+        Args:
+            chat_completion (ChatCompletion): Structured representation of the inputs
+                to the chat completion request.
+            add_generation_prompt (bool): If ``True``, the returned prompt string will
+                contain a prefix of the next assistant response for use as a prompt to a
+                generation request. Otherwise, the prompt will only contain the messages
+                and documents in ``chat_completion``. Defaults to ``True``.
+
+        Returns:
+            str: String that can be passed to the model's tokenizer to create a prompt
+                for generation.
         """
 
 
@@ -61,14 +64,16 @@ def transform(
         Convert the model output generated into a structured representation of the
         information.
 
-        :param model_output: String output of the a generation request, potentially
-            incomplete if it was a streaming request
-        :param chat_completion: The chat completion request that produced
-            ``model_output``. Parameters of the request can determine how the output
-            should be decoded.
+        Args:
+            model_output (str): String output of the generation request, potentially
+                incomplete if it was a streaming request.
+            chat_completion (ChatCompletion | None): The chat completion request that
+                produced ``model_output``. Parameters of the request can determine how
+                the output should be decoded. Defaults to ``None``.
 
-        :returns: The parsed output so far, as an instance of :class:`AssistantMessage`
-            possibly with model-specific extension fields.
+        Returns:
+            AssistantMessage: The parsed output so far, as an instance of
+                :class:`AssistantMessage` possibly with model-specific extension fields.
         """
 
 
@@ -87,10 +92,19 @@ def transform(
         Rewrite a chat completion request into another chat completion request.
         Does not modify the original :class:`ChatCompletion` object.
 
-        :param chat_completion: Original chat completion request, either as a dataclass
-            or as the JSON representation of one.
+        Args:
+            chat_completion (ChatCompletion | str | dict): Original chat completion
+                request, either as a :class:`ChatCompletion` dataclass, the JSON string
+                representation, or a plain dictionary.
+            **kwargs: Additional keyword arguments forwarded to the underlying
+                :meth:`_transform` implementation.
 
-        :returns: Rewritten copy of ``chat_completion``.
+        Returns:
+            ChatCompletion: Rewritten copy of the original chat completion request.
+
+        Raises:
+            TypeError: If ``chat_completion`` is not a :class:`ChatCompletion` object,
+                a JSON string, or a dictionary.
         """
         if isinstance(chat_completion, str):
             chat_completion = ChatCompletion.model_validate_json(chat_completion)
@@ -131,15 +145,24 @@ def transform(
         chat_completion_response: ChatCompletionResponse | dict | pydantic.BaseModel,
         chat_completion: ChatCompletion | None = None,
     ) -> ChatCompletionResponse:
-        """Parse the result of a chat completion.
-
-        :param chat_completion_response: Response to a chat completion request as
-            a parsed dataclass, parsed JSON value, or OpenAI dataclass
-        :param chat_completion: The chat completion request that produced
-            ``chat_completion_response``. Required by some implementations in order
-            to decode references to part of the original request.
-
-        :returns: Rewritten copy of ``chat_completion``.
+        """Parse and post-process the result of a chat completion request.
+
+        Args:
+            chat_completion_response (ChatCompletionResponse | dict | pydantic.BaseModel):
+                Response to a chat completion request, provided as a parsed
+                :class:`ChatCompletionResponse` dataclass, a raw dictionary, or
+                another Pydantic model.
+            chat_completion (ChatCompletion | None): The original chat completion
+                request that produced ``chat_completion_response``. Required by
+                some implementations to decode references back to the original
+                request. Defaults to ``None``.
+
+        Returns:
+            ChatCompletionResponse: Post-processed copy of the chat completion
+                response with model-specific transformations applied.
+
+        Raises:
+            TypeError: If ``chat_completion_response`` is not a supported type.
         """
         # Convert from over-the-wire format if necessary
         if isinstance(chat_completion_response, dict):
@@ -179,11 +202,13 @@ class Retriever(abc.ABC):
 
     @abc.abstractmethod
     def retrieve(self, query: str, top_k: int = 10) -> list[Document]:
-        """Retrieve the top k matches of a query from the corpus.
+        """Retrieve the top-k matching documents for a query from the corpus.
 
-        :param query: Query string to use for lookup
-        :param top_k: Number of top-k results to return
+        Args:
+            query (str): Query string to use for lookup.
+            top_k (int): Maximum number of results to return. Defaults to ``10``.
 
-        :returns: Pyarrow table with fields: "id", "title", "url", "begin", "end",
-            "text", "score"
+        Returns:
+            list[Document]: List of the top-k matching :class:`Document` objects,
+                each with fields such as ``text``, ``title``, and ``doc_id``.
         """
diff --git a/mellea/formatters/granite/base/optional.py b/mellea/formatters/granite/base/optional.py
index 96a151c94..705f1bd2f 100644
--- a/mellea/formatters/granite/base/optional.py
+++ b/mellea/formatters/granite/base/optional.py
@@ -1,6 +1,12 @@
 # SPDX-License-Identifier: Apache-2.0
 
-"""Utilities for optional dependencies."""
+"""Context-manager helpers for gracefully handling optional import dependencies.
+
+Provides ``import_optional``, a context manager that catches ``ImportError`` and
+re-raises it with a human-readable install hint (e.g. ``pip install <package>[extra]``),
+and ``nltk_check``, a variant tailored to NLTK data-download errors. Used by Granite
+formatter modules that have optional third-party dependencies.
+"""
 
 # Standard
 import logging
@@ -17,7 +23,12 @@
 
 @contextmanager
 def import_optional(extra_name: str):
-    """Handle optional imports."""
+    """Handle optional imports.
+
+    Args:
+        extra_name: Package extra to suggest in the install hint
+            (e.g. ``pip install granite_io[extra_name]``).
+    """
     try:
         yield
     except ImportError as err:
@@ -34,7 +45,12 @@ def import_optional(extra_name: str):
 def nltk_check(feature_name: str):
     """Variation on import_optional for nltk.
 
-    :param feature_name: Name of feature that requires NLTK
+    Args:
+        feature_name: Name of the feature that requires NLTK, used in the error message.
+
+    Raises:
+        ImportError: If the ``nltk`` package is not installed, re-raised with
+            a descriptive message and installation instructions.
     """
     try:
         yield
diff --git a/mellea/formatters/granite/base/types.py b/mellea/formatters/granite/base/types.py
index 7e0a299e7..8c747c012 100644
--- a/mellea/formatters/granite/base/types.py
+++ b/mellea/formatters/granite/base/types.py
@@ -1,6 +1,13 @@
 # SPDX-License-Identifier: Apache-2.0
 
-"""Common shared types."""
+"""Common Pydantic types shared across the Granite formatter package.
+
+Defines reusable Pydantic models and mixins, including ``NoDefaultsMixin`` (which
+suppresses unset default fields from serialized JSON output) and message/request
+types for Granite model chat completions (``ChatMessage``, ``ChatCompletion``,
+``VLLMExtraBody``, ``ChatCompletionLogProbs``, and related classes). These types are
+consumed internally by the Granite intrinsic formatters.
+"""
 
 # Standard
 from typing import Annotated, Any, Literal, TypeAlias
@@ -120,7 +127,11 @@ def _keep_these_fields(self):
 
 
 class UserMessage(_ChatMessageBase):
-    """User message for an IBM Granite model chat completion request."""
+    """User message for an IBM Granite model chat completion request.
+
+    Attributes:
+        role (str): Always ``"user"``, identifying the message sender.
+    """
 
     role: Literal["user"] = "user"
 
@@ -130,13 +141,29 @@ class DocumentMessage(_ChatMessageBase):
 
     Document message for an IBM Granite model (from the Ollama library) chat
     completion request.
+
+    Attributes:
+        role (str): A string matching the pattern ``"document <name>"``,
+            identifying this message as a document fragment.
     """
 
     role: Annotated[str, StringConstraints(pattern=r"^document .+$")]
 
 
 class ToolCall(pydantic.BaseModel, NoDefaultsMixin):
-    """Tool call entry format."""
+    """Represents a single tool-call entry produced by an assistant message.
+
+    Captures the identifier, name, and arguments of a tool invocation returned
+    by the model during a chat completion response.
+
+    Attributes:
+        id (str | None): An optional unique identifier for this tool call,
+            used to correlate calls with their results.
+        name (str): The name of the tool to invoke.
+        arguments (dict[str, Any] | None): A mapping of argument names to
+            values, conforming to the parameter schema of the associated tool
+            definition.
+    """
 
     id: str | None = None
     name: str
@@ -151,6 +178,13 @@ class AssistantMessage(_ChatMessageBase):
 
     Lowest-common-denominator assistant message for an IBM Granite model chat
     completion request.
+
+    Attributes:
+        role (str): Always ``"assistant"``, identifying the message sender.
+        tool_calls (list[ToolCall] | None): Optional list of tool calls
+            requested by the assistant during this turn.
+        reasoning_content (str | None): Optional chain-of-thought or reasoning
+            text produced by the model before the final response.
     """
 
     role: Literal["assistant"] = "assistant"
@@ -163,6 +197,10 @@ class ToolResultMessage(_ChatMessageBase):
 
     Message containing the result of a tool call in an IBM Granite model chat completion
     request.
+
+    Attributes:
+        role (str): Always ``"tool"``, identifying this as a tool-result message.
+        tool_call_id (str): The identifier of the tool call this message responds to.
     """
 
     role: Literal["tool"] = "tool"
@@ -170,13 +208,21 @@ class ToolResultMessage(_ChatMessageBase):
 
 
 class SystemMessage(_ChatMessageBase):
-    """System message for an IBM Granite model chat completion request."""
+    """System message for an IBM Granite model chat completion request.
+
+    Attributes:
+        role (str): Always ``"system"``, identifying this as a system-level instruction.
+    """
 
     role: Literal["system"] = "system"
 
 
 class DeveloperMessage(_ChatMessageBase):
-    """Developer system message for a chat completion request."""
+    """Developer system message for a chat completion request.
+
+    Attributes:
+        role (str): Always ``"developer"``, identifying this as a developer-role message.
+    """
 
     role: Literal["developer"] = "developer"
 
@@ -194,7 +240,15 @@ class DeveloperMessage(_ChatMessageBase):
 
 
 class ToolDefinition(pydantic.BaseModel, NoDefaultsMixin):
-    """An entry in the ``tools`` list in an IBM Granite model chat completion request."""
+    """An entry in the ``tools`` list in an IBM Granite model chat completion request.
+
+    Attributes:
+        name (str): The name used to identify and invoke the tool.
+        description (str | None): An optional human-readable description of
+            what the tool does.
+        parameters (dict[str, Any] | None): An optional JSON Schema object
+            describing the tool's input parameters.
+    """
 
     name: str
     description: str | None = None
@@ -209,6 +263,12 @@ class Document(pydantic.BaseModel, NoDefaultsMixin):
 
     RAG documents, which in practice are usually snippets drawn from larger
     documents.
+
+    Attributes:
+        text (str): The textual content of the document snippet.
+        title (str | None): An optional title for the document.
+        doc_id (str | None): An optional string identifier for the document,
+            required by some backends such as vLLM.
     """
 
     text: str
@@ -223,6 +283,11 @@ class ChatTemplateKwargs(pydantic.BaseModel):
 
     Values that can appear in the ``chat_template_kwargs`` portion of a valid chat
     completion request for a Granite model.
+
+    Attributes:
+        model_config (ConfigDict): Pydantic model configuration allowing
+            arbitrary types and extra fields to be passed through to
+            model-specific I/O processors.
     """
 
     model_config = pydantic.ConfigDict(
@@ -239,6 +304,16 @@ class VLLMExtraBody(pydantic.BaseModel, NoDefaultsMixin):
     Elements of `vllm.entrypoints.openai.protocol.ChatCompletionRequest` that
     are not part of OpenAI's protocol and need to be stuffed into the
     "extra_body" parameter of a chat completion request.
+
+    Attributes:
+        documents (list[Document] | None): RAG documents made accessible to
+            the model during generation, if the template supports RAG.
+        add_generation_prompt (bool): When ``True``, the generation prompt is
+            appended to the rendered chat template. Defaults to ``True``.
+        chat_template_kwargs (ChatTemplateKwargs | None): Additional keyword
+            arguments forwarded to the chat template renderer.
+        structured_outputs (dict | None): Optional JSON schema that constrains
+            the model's output format.
     """
 
     documents: list[Document] | None = Field(
@@ -297,6 +372,17 @@ class ChatCompletion(pydantic.BaseModel, NoDefaultsMixin):
 
     See the class `vllm.entrypoints.openai.protocol.ChatCompletionRequest` for
     more information.
+
+    Attributes:
+        messages (list[ChatMessage]): The ordered list of chat messages forming
+            the conversation history.
+        model (str | None): An optional model identifier specifying which model
+            to use for the completion.
+        tools (list[ToolDefinition] | None): An optional list of tool
+            definitions made available to the model during generation.
+        extra_body (VLLMExtraBody | None): Optional vLLM-specific parameters
+            not covered by the OpenAI protocol, such as documents and
+            chat-template kwargs.
     """
 
     messages: list[ChatMessage]
@@ -414,6 +500,13 @@ class Logprob(pydantic.BaseModel, NoDefaultsMixin):
 
     See the class `vllm.entrypoints.openai.protocol.Logprob` for
     more information.
+
+    Attributes:
+        logprob (float): The log-probability value for this token.
+        rank (int | None): The rank of this token among the top candidates,
+            if available.
+        decoded_token (str | None): The decoded string representation of the
+            token, if available.
     """
 
     logprob: float
@@ -431,6 +524,13 @@ class ChatCompletionLogProb(pydantic.BaseModel, NoDefaultsMixin):
 
     See the class `vllm.entrypoints.openai.protocol.ChatCompletionLogProb` for
     more information.
+
+    Attributes:
+        token (str): The decoded token string.
+        logprob (float): The log-probability of the token. Defaults to
+            ``-9999.0`` when not returned by the server.
+        bytes (list[int] | None): The UTF-8 byte values of the token,
+            if provided by the server.
     """
 
     token: str
@@ -446,6 +546,10 @@ class ChatCompletionLogProbsContent(ChatCompletionLogProb):
 
     See the class `vllm.entrypoints.openai.protocol.ChatCompletionLogProbsContent` for
     more information.
+
+    Attributes:
+        top_logprobs (list[ChatCompletionLogProb]): The list of top-k
+            candidate tokens and their log-probabilities at this position.
     """
 
     top_logprobs: list[ChatCompletionLogProb] = Field(default_factory=list)
@@ -459,6 +563,11 @@ class ChatCompletionLogProbs(pydantic.BaseModel, NoDefaultsMixin):
 
     See the class `vllm.entrypoints.openai.protocol.ChatCompletionLogProbs` for
     more information.
+
+    Attributes:
+        content (list[ChatCompletionLogProbsContent] | None): Per-token
+            log-probability entries for each generated token, or ``None`` if
+            logprobs were not requested.
     """
 
     content: list[ChatCompletionLogProbsContent] | None = None
@@ -472,6 +581,14 @@ class ChatCompletionResponseChoice(pydantic.BaseModel, NoDefaultsMixin):
 
     See the class `vllm.entrypoints.openai.protocol.ChatCompletionResponseChoice` for
     more information.
+
+    Attributes:
+        index (int): The zero-based index of this choice in the response.
+        message (ChatMessage): The generated message for this choice.
+        logprobs (ChatCompletionLogProbs | None): Token log-probabilities for
+            this choice, if they were requested.
+        finish_reason (str | None): The reason the model stopped generating.
+            Defaults to ``"stop"`` per the OpenAI specification.
     """
 
     index: int
@@ -489,6 +606,15 @@ class ChatCompletionResponse(pydantic.BaseModel, NoDefaultsMixin):
 
     See the class `vllm.entrypoints.openai.protocol.ChatCompletionResponse` for
     more information.
+
+    Attributes:
+        choices (list[ChatCompletionResponseChoice]): The list of generated
+            response choices returned by the model.
+        prompt_logprobs (list[dict[int, Logprob] | None] | None): Per-token
+            prompt log-probabilities returned by vLLM, if requested. This
+            field is not part of the OpenAI specification.
+        model_config (ConfigDict): Pydantic configuration allowing extra fields
+            to be passed through when transforming data.
     """
 
     choices: list[ChatCompletionResponseChoice]
diff --git a/mellea/formatters/granite/base/util.py b/mellea/formatters/granite/base/util.py
index 1a11346d5..4d02ef9c6 100644
--- a/mellea/formatters/granite/base/util.py
+++ b/mellea/formatters/granite/base/util.py
@@ -28,7 +28,12 @@
 
 @contextlib.contextmanager
 def import_optional(extra_name: str):
-    """Handle optional imports."""
+    """Handle optional imports.
+
+    Args:
+        extra_name: Package extra to suggest in the install hint
+            (e.g. ``pip install granite_io[extra_name]``).
+    """
     try:
         yield
     except ImportError as err:
@@ -45,7 +50,12 @@ def import_optional(extra_name: str):
 def nltk_check(feature_name: str):
     """Variation on import_optional for nltk.
 
-    :param feature_name: Name of feature that requires NLTK
+    Args:
+        feature_name: Name of the feature that requires NLTK, used in the error message.
+
+    Raises:
+        ImportError: If the ``nltk`` package is not installed, re-raised with
+            a descriptive message and installation instructions.
     """
     try:
         yield
@@ -62,6 +72,13 @@ def find_substring_in_text(substring: str, text: str) -> list[dict]:
 
     Given two strings - substring and text - find and return all
     matches of substring within text. For each match return its begin and end index.
+
+    Args:
+        substring: The string to search for.
+        text: The string to search within.
+
+    Returns:
+        List of dicts with ``begin_idx`` and ``end_idx`` for each match found.
     """
     span_matches = []
 
@@ -73,7 +90,11 @@ def find_substring_in_text(substring: str, text: str) -> list[dict]:
 
 
 def random_uuid() -> str:
-    """:returns: hexadecimal data suitable to use as a unique identifier"""
+    """Generate a random UUID string.
+
+    Returns:
+        Hexadecimal UUID string suitable for use as a unique identifier.
+    """
     return str(uuid.uuid4())
 
 
@@ -84,9 +105,19 @@ def load_transformers_lora(local_or_remote_path):
     pass it a LoRA adapter's config, but that auto-loading is very broken as of 8/2025.
     Workaround powers activate!
 
-    Only works if ``transformers`` and ``peft`` are installed
+    Only works if ``transformers`` and ``peft`` are installed.
+
+    Args:
+        local_or_remote_path: Local directory path of the LoRA adapter.
 
-    :returns: Tuple of LoRA model and tokenizer
+    Returns:
+        Tuple of ``(model, tokenizer)`` where ``model`` is the loaded LoRA model and
+        ``tokenizer`` is the corresponding HuggingFace tokenizer.
+
+    Raises:
+        ImportError: If ``peft`` or ``transformers`` packages are not installed.
+        NotImplementedError: If ``local_or_remote_path`` does not exist locally
+            (remote loading from the Hugging Face Hub is not yet implemented).
     """
     with import_optional("peft"):
         # Third Party
@@ -112,17 +143,26 @@ def chat_completion_request_to_transformers_inputs(
     Translate an OpenAI-style chat completion request into an input for a Transformers
     ``generate()`` call.
 
-    :param request: Request as parsed JSON or equivalent dataclass
-    :param tokenizer: Pointer to the HuggingFace tokenizer that will be used to handle
-        this request. Only required if the request uses constrained decoding.
-    :param model: Pointer to the HuggingFace model that will be used to handle
-        this request. Only required if the request uses constrained decoding.
-    :param constrained_decoding_prefix: Optional generation prefix to append to the
-        prompt
-
-    :returns: Tuple of:
-        * kwargs to pass to generation
-        * Additional stuff to pass to generate_with_transformers
+    Args:
+        request: Request as parsed JSON or equivalent dataclass.
+        tokenizer: HuggingFace tokenizer for the model. Only required if the request
+            uses constrained decoding.
+        model: HuggingFace model object. Only required if the request uses constrained
+            decoding.
+        constrained_decoding_prefix: Optional generation prefix to append to the prompt.
+
+    Returns:
+        Tuple of ``(generate_input, other_input)`` where ``generate_input`` contains
+        kwargs to pass directly to ``generate()`` and ``other_input`` contains
+        additional parameters for ``generate_with_transformers``.
+
+    Raises:
+        ImportError: If ``torch``, ``transformers``, or ``xgrammar`` packages
+            are not installed (the latter only when constrained decoding is used).
+        TypeError: If ``tokenizer.apply_chat_template()`` returns an unexpected type.
+        ValueError: If padding or end-of-sequence token IDs cannot be determined
+            from the tokenizer, or if a constrained-decoding request is made
+            without passing a ``tokenizer`` or ``model`` argument.
     """
     with import_optional("torch"):
         # Third Party
@@ -285,15 +325,18 @@ def generate_with_transformers(
 
     There are quite a few extra steps.
 
-    :param tokenizer: Tokenizer for the model, required at several stages of generation
-    :param model: Initialized model object.
-    :param generate_input: Parameters to pass to the generate() method, usually
-        generated by :func:`chat_completion_request_to_transformers_inputs()`
-    :param other_input: Additional kwargs that
-        :func:`chat_completion_request_to_transformers_inputs()` added to encompass
-        aspects of the original request that Transformers APIs don't handle natively.
-
-    :returns: A chat completion response in OpenAI format
+    Args:
+        tokenizer: HuggingFace tokenizer for the model, required at several stages
+            of generation.
+        model: Initialized HuggingFace model object.
+        generate_input: Parameters to pass to the ``generate()`` method, usually
+            produced by ``chat_completion_request_to_transformers_inputs()``.
+        other_input: Additional kwargs produced by
+            ``chat_completion_request_to_transformers_inputs()`` for aspects of the
+            original request that Transformers APIs don't handle natively.
+
+    Returns:
+        A chat completion response in OpenAI format.
     """
     with import_optional("torch"):
         # Third Party
diff --git a/mellea/formatters/granite/granite3/granite32/input.py b/mellea/formatters/granite/granite3/granite32/input.py
index d548f297d..a5333cf9f 100644
--- a/mellea/formatters/granite/granite3/granite32/input.py
+++ b/mellea/formatters/granite/granite3/granite32/input.py
@@ -222,20 +222,39 @@ def _remove_special_tokens(cls, text: str) -> str:
 
     @classmethod
     def sanitize(cls, chat_completion, parts="all"):
-        """Sanitize chat completion.
+        """Sanitize the chat completion by removing Granite 3.2 special tokens.
 
-        Call the parent sanitize function with the specific remove special
-        tokens function for this Granite version.
+        Args:
+            chat_completion: The chat completion request to sanitize.
+            parts (str): Which parts of the chat completion to sanitize;
+                defaults to ``"all"``.
+
+        Returns:
+            The sanitized chat completion with all Granite 3.2 special tokens
+            removed from the specified parts.
         """
         return super()._sanitize(chat_completion, cls._remove_special_tokens, parts)
 
     def transform(
         self, chat_completion: ChatCompletion, add_generation_prompt: bool = True
     ) -> str:
-        """Transform chat completion to prompt string.
-
-        Downcast to a Model-specific request type with possible additional fields.
-        This operation also performs additional validation.
+        """Transform the chat completion request into a Granite 3.2 prompt string.
+
+        Args:
+            chat_completion (ChatCompletion): The structured chat completion request
+                to convert into a tokenizer-ready prompt string.
+            add_generation_prompt (bool): When ``True``, appends the assistant role
+                header to the end of the prompt to trigger generation. Defaults to
+                ``True``.
+
+        Returns:
+            str: The prompt string formatted for the Granite 3.2 model tokenizer.
+
+        Raises:
+            ValueError: If conflicting options are specified, such as enabling
+                ``thinking`` mode together with documents, tools, or a custom
+                system message; or enabling ``citations`` or ``hallucinations``
+                with a custom system message.
         """
         chat_completion = Granite32ChatCompletion.model_validate(
             chat_completion.model_dump()
diff --git a/mellea/formatters/granite/granite3/granite32/output.py b/mellea/formatters/granite/granite3/granite32/output.py
index a4e3ee6dd..e3c4b44f0 100644
--- a/mellea/formatters/granite/granite3/granite32/output.py
+++ b/mellea/formatters/granite/granite3/granite32/output.py
@@ -614,10 +614,23 @@ class Granite32OutputProcessor(OutputProcessor):
     def transform(
         self, model_output: str, chat_completion: ChatCompletion | None = None
     ) -> AssistantMessage:
-        """Transform model output to assistant message.
-
-        Downcast to a Granite-specific request type with possible additional fields.
-        This operation also performs additional validation.
+        """Parse Granite 3.2 model output into a structured assistant message.
+
+        Args:
+            model_output (str): Raw text output from the Granite 3.2 model.
+            chat_completion (ChatCompletion | None): The original chat completion
+                request that produced ``model_output``. Used to determine which
+                output features (thinking, tools, citations, hallucinations) to
+                parse. Defaults to ``None``.
+
+        Returns:
+            AssistantMessage: A :class:`Granite3AssistantMessage` containing the
+                parsed response text, optional tool calls, chain-of-thought
+                reasoning, citations, documents, and hallucination annotations.
+
+        Raises:
+            ValueError: If parsing citations, documents, or hallucinations from
+                the model output fails.
         """
         if chat_completion is None:
             chat_completion = Granite32ChatCompletion(messages=[])
diff --git a/mellea/formatters/granite/granite3/granite33/input.py b/mellea/formatters/granite/granite3/granite33/input.py
index 26f058dbe..2bb8f899d 100644
--- a/mellea/formatters/granite/granite3/granite33/input.py
+++ b/mellea/formatters/granite/granite3/granite33/input.py
@@ -142,7 +142,17 @@ def _remove_special_tokens(cls, text: str) -> str:
 
     @classmethod
     def sanitize(cls, chat_completion, parts="all"):
-        """Sanitize the chat completion by removing special tokens."""
+        """Sanitize the chat completion by removing Granite 3.3 special tokens.
+
+        Args:
+            chat_completion: The chat completion request to sanitize.
+            parts (str): Which parts of the chat completion to sanitize;
+                defaults to ``"all"``.
+
+        Returns:
+            The sanitized chat completion with all Granite 3.3 special tokens
+            removed from the specified parts.
+        """
         # Call the parent sanitize function with the specific remove special
         # tokens function for this Granite version.
         return super()._sanitize(chat_completion, cls._remove_special_tokens, parts)
@@ -150,7 +160,24 @@ def sanitize(cls, chat_completion, parts="all"):
     def transform(
         self, chat_completion: ChatCompletion, add_generation_prompt: bool = True
     ) -> str:
-        """Transform the chat completion into a prompt string."""
+        """Transform the chat completion request into a Granite 3.3 prompt string.
+
+        Args:
+            chat_completion (ChatCompletion): The structured chat completion request
+                to convert into a tokenizer-ready prompt string.
+            add_generation_prompt (bool): When ``True``, appends the assistant role
+                header to the end of the prompt to trigger generation. Defaults to
+                ``True``.
+
+        Returns:
+            str: The prompt string formatted for the Granite 3.3 model tokenizer.
+
+        Raises:
+            ValueError: If conflicting options are specified, such as enabling
+                ``thinking`` mode together with documents, tools, or a custom
+                system message; or enabling ``citations`` or ``hallucinations``
+                with a custom system message.
+        """
         # Downcast to a Granite-specific request type with possible additional fields.
         # This operation also performs additional validation.
         chat_completion = Granite33ChatCompletion.model_validate(
diff --git a/mellea/formatters/granite/granite3/granite33/output.py b/mellea/formatters/granite/granite3/granite33/output.py
index aeda6175d..34893de22 100644
--- a/mellea/formatters/granite/granite3/granite33/output.py
+++ b/mellea/formatters/granite/granite3/granite33/output.py
@@ -523,7 +523,24 @@ class Granite33OutputProcessor(OutputProcessor):
     def transform(
         self, model_output: str, chat_completion: ChatCompletion | None = None
     ) -> AssistantMessage:
-        """Transform model output into an AssistantMessage."""
+        """Parse Granite 3.3 model output into a structured assistant message.
+
+        Args:
+            model_output (str): Raw text output from the Granite 3.3 model.
+            chat_completion (ChatCompletion | None): The original chat completion
+                request that produced ``model_output``. Used to determine which
+                output features (thinking, tools, citations, hallucinations) to
+                parse. Defaults to ``None``.
+
+        Returns:
+            AssistantMessage: A :class:`Granite3AssistantMessage` containing the
+                parsed response text, optional tool calls, chain-of-thought
+                reasoning, citations, documents, and hallucination annotations.
+
+        Raises:
+            ValueError: If parsing citations, documents, or hallucinations from
+                the model output fails.
+        """
         # Downcast to a Granite-specific request type with possible additional fields.
         # This operation also performs additional validation.
         if chat_completion is None:
diff --git a/mellea/formatters/granite/granite3/output.py b/mellea/formatters/granite/granite3/output.py
index 0d9c4d5a2..d3c31d96a 100644
--- a/mellea/formatters/granite/granite3/output.py
+++ b/mellea/formatters/granite/granite3/output.py
@@ -27,6 +27,15 @@ def create_dict(input_array, **key_attrib_names: str) -> dict:
 
     Given an array of dicts and the name of attribute(s) within the array, return a
     dict containing the contents of the array indexed by the given attribute(s)
+
+    Args:
+        input_array: Iterable of dicts to index.
+        **key_attrib_names: Keyword arguments whose values are attribute names within
+            each dict. The resulting key is a hyphen-joined concatenation of those
+            attribute values.
+
+    Returns:
+        Dict mapping the concatenated attribute value(s) to the original dict entry.
     """
     new_dict: dict = {}
 
@@ -67,6 +76,12 @@ def parse_hallucinations_text(hallucinations_text: str) -> list[dict]:
         },
         ...
     ]
+
+    Args:
+        hallucinations_text: Raw text from the model's "# Hallucinations:" section.
+
+    Returns:
+        List of dicts, each with ``hallucination_id``, ``risk``, and ``response_text`` keys.
     """
     hallucinations = []
 
@@ -160,6 +175,17 @@ def add_hallucination_response_spans(
                             text (without citation tags)"
         "response_end": "The end index of "response_text" within the response
                             text (without citation tags)"
+
+    Args:
+        hallucination_info: Parsed hallucination list as returned by
+            ``parse_hallucinations_text``.
+        response_text_without_citations: Full response text with citation tags removed.
+        remove_citations_from_response_text: Callable that strips citation tags from
+            a substring of the response.
+
+    Returns:
+        Deep copy of ``hallucination_info`` with ``response_text``, ``response_begin``,
+        and ``response_end`` populated for each entry.
     """
     augmented_hallucination_info = copy.deepcopy(hallucination_info)
 
@@ -214,6 +240,15 @@ def add_citation_context_spans(
         "context_begin": "The begin index of "context_text" within document with
                             ID doc_id"
         "context_end": "The end index of "context_text" within document with ID doc_id"
+
+    Args:
+        citation_info: List of citation dicts as produced by the model output parser.
+        docs: List of source document dicts, each with ``citation_id``, ``doc_id``,
+            and ``text`` keys.
+
+    Returns:
+        Deep copy of ``citation_info`` with ``context_begin`` and ``context_end``
+        populated for each entry.
     """
     augmented_citation_info = copy.deepcopy(citation_info)
     docs_by_cit_doc_id = create_dict(
diff --git a/mellea/formatters/granite/granite3/types.py b/mellea/formatters/granite/granite3/types.py
index c692cf351..4182537c9 100644
--- a/mellea/formatters/granite/granite3/types.py
+++ b/mellea/formatters/granite/granite3/types.py
@@ -20,7 +20,19 @@
 
 
 class Hallucination(pydantic.BaseModel):
-    """Hallucination data as returned by the model output parser."""
+    """Hallucination data as returned by the model output parser.
+
+    Attributes:
+        hallucination_id (str): Unique identifier for the hallucination entry.
+        risk (str): Risk level of the hallucination, e.g. ``"low"`` or ``"high"``.
+        reasoning (str | None): Optional model-provided reasoning for why this
+            sentence was flagged.
+        response_text (str): The portion of the response text that is flagged.
+        response_begin (int): Start character offset of ``response_text`` within
+            the full response string.
+        response_end (int): End character offset (exclusive) of ``response_text``
+            within the full response string.
+    """
 
     hallucination_id: str
     risk: str
@@ -31,7 +43,23 @@ class Hallucination(pydantic.BaseModel):
 
 
 class Citation(pydantic.BaseModel):
-    """Citation data as returned by the model output parser."""
+    """Citation data as returned by the model output parser.
+
+    Attributes:
+        citation_id (str): Unique identifier assigned to this citation.
+        doc_id (str): Identifier of the source document being cited.
+        context_text (str): Verbatim text from the source document that is cited.
+        context_begin (int): Start character offset of ``context_text`` within
+            the source document.
+        context_end (int): End character offset (exclusive) of ``context_text``
+            within the source document.
+        response_text (str): The portion of the response text that makes this
+            citation.
+        response_begin (int): Start character offset of ``response_text`` within
+            the response string.
+        response_end (int): End character offset (exclusive) of ``response_text``
+            within the response string.
+    """
 
     citation_id: str
     doc_id: str
@@ -44,7 +72,22 @@ class Citation(pydantic.BaseModel):
 
 
 class Granite3Controls(pydantic.BaseModel):
-    """Granite 3.x controls record."""
+    """Control flags for Granite 3.x model output behaviour.
+
+    Specifies which optional output features the model should produce, such as
+    inline citations, hallucination risk annotations, response length constraints,
+    and originality style.
+
+    Attributes:
+        citations (bool | None): When ``True``, instructs the model to annotate
+            factual claims with inline citation markers.
+        hallucinations (bool | None): When ``True``, instructs the model to
+            append a list of sentences that may be hallucinated.
+        length (str | None): Requested response length; must be ``"short"``,
+            ``"long"``, or ``None`` for no constraint.
+        originality (str | None): Requested response originality style; must be
+            ``"extractive"``, ``"abstractive"``, or ``None``.
+    """
 
     citations: bool | None = None
     hallucinations: bool | None = None
@@ -75,7 +118,18 @@ def _validate_originality(cls, value: str | None) -> str | None:
 
 
 class Granite3Kwargs(ChatTemplateKwargs, NoDefaultsMixin):
-    """Granite 3 keyword arguments."""
+    """Chat template keyword arguments specific to IBM Granite 3.x models.
+
+    Extends :class:`ChatTemplateKwargs` with Granite 3-specific options for
+    output control flags and chain-of-thought (thinking) mode.
+
+    Attributes:
+        controls (Granite3Controls | None): Optional output control flags that
+            enable or configure citations, hallucination detection, response
+            length, and originality style.
+        thinking (bool): When ``True``, enables chain-of-thought reasoning mode.
+            Defaults to ``False``.
+    """
 
     controls: Granite3Controls | None = None
     thinking: bool = False
@@ -89,14 +143,24 @@ class Granite3ChatCompletion(GraniteChatCompletion):
     """
 
     def controls(self) -> Granite3Controls:
-        """:returns: An appropriate Granite 3 controls record for the chat completion"""
+        """Return the Granite 3 controls record for this chat completion request.
+
+        Returns:
+            Granite3Controls: The controls record from the chat template kwargs,
+                or an empty :class:`Granite3Controls` if none were specified.
+        """
         kwargs = self.extra_body.chat_template_kwargs if self.extra_body else None
         if kwargs and isinstance(kwargs, Granite3Kwargs) and kwargs.controls:
             return kwargs.controls
         return Granite3Controls()
 
     def thinking(self) -> bool:
-        """:returns: ``True`` if thinking mode is enabled for this request"""
+        """Return whether chain-of-thought thinking mode is enabled.
+
+        Returns:
+            bool: ``True`` if the ``thinking`` flag is set in the chat template
+                kwargs; ``False`` otherwise.
+        """
         kwargs = self.extra_body.chat_template_kwargs if self.extra_body else None
         return bool(kwargs and isinstance(kwargs, Granite3Kwargs) and kwargs.thinking)
 
@@ -168,7 +232,19 @@ def _validate_inputs_messages(cls, messages: list) -> list:
 
 
 class Granite3AssistantMessage(AssistantMessage):
-    """An assistant message with Granite 3 specific fields."""
+    """An assistant message with Granite 3 specific fields.
+
+    Attributes:
+        reasoning_content (str | None): Optional chain-of-thought reasoning text
+            produced before the final response.
+        citations (list[Citation] | None): Optional list of citations parsed from
+            the model output.
+        documents (list[Document] | None): Optional list of documents referenced
+            in the model output.
+        hallucinations (list[Hallucination] | None): Optional list of hallucination
+            annotations parsed from the model output.
+        stop_reason (str | None): Optional reason the model stopped generating.
+    """
 
     reasoning_content: str | None = None
     citations: list[Citation] | None = None
diff --git a/mellea/formatters/granite/intrinsics/input.py b/mellea/formatters/granite/intrinsics/input.py
index 7ce05708c..c578c62d2 100644
--- a/mellea/formatters/granite/intrinsics/input.py
+++ b/mellea/formatters/granite/intrinsics/input.py
@@ -36,11 +36,13 @@ def _needs_logprobs(transformations: list | None) -> bool:
 def sentence_delimiter(tag, sentence_num) -> str:
     """Return a tag string that identifies the beginning of the indicated sentence.
 
-    :param tag: tag string, i.e. "i" or "c"
-    :param sentence_num: index of sentence
-    :return: Tag string (including trailing space) that identifies the beginning of
+    Args:
+        tag: Tag string prefix, e.g. ``"i"`` or ``"c"``.
+        sentence_num: Zero-based index of the sentence.
+
+    Returns:
+        Tag string (including trailing space) that identifies the beginning of
         the indicated sentence in sentence-tagged text.
-    :rtype: str
     """
     return f"<{tag}{sentence_num}> "
 
@@ -54,11 +56,13 @@ def mark_sentence_boundaries(
     ``<[prefix][number]>``
     at the location of each sentence boundary.
 
-    :param split_strings: Input string(s), pre-split into sentences
-    :param tag_prefix: String to place before the number part of each tagged
-        sentence boundary.
+    Args:
+        split_strings: Input string(s), pre-split into sentences.
+        tag_prefix: String to place before the number part of each tagged
+            sentence boundary.
 
-    :returns: List of input strings with all sentence boundaries marked.
+    Returns:
+        List of input strings with all sentence boundaries marked.
     """
     index = 0
     result: list[str] = []
@@ -81,12 +85,21 @@ def move_documents_to_message(
     This function edits a request by putting the documents into the first turn of the
     messages.
 
-    :param chat_completion: A chat completion request as dataclass or parsed JSON
-    :param how: How to serialize the documents; supported values are "string" and "json"
+    Args:
+        chat_completion: A chat completion request as dataclass or parsed JSON.
+        how: How to serialize the documents; supported values are ``"string"``,
+            ``"json"``, and ``"roles"``.
 
-    :returns: A copy of ``chat_completion`` with any documents under ``extra_body``
+    Returns:
+        A copy of ``chat_completion`` with any documents under ``extra_body``
         moved to the first message. Returned type will be the same as the input type.
         May return original object if no edits are necessary.
+
+    Raises:
+        TypeError: If ``chat_completion`` is not a :class:`ChatCompletion` or
+            ``dict``.
+        ValueError: If ``how`` is not one of ``"string"``, ``"json"``, or
+            ``"roles"``.
     """
     if isinstance(chat_completion, ChatCompletion):
         should_return_dataclass = True
@@ -156,6 +169,33 @@ class IntrinsicsRewriter(ChatCompletionRewriter):
     General-purpose chat completion rewriter for use with models that implement
     LLM intrinsics. Reads parameters of the model's input and output formats
     from a YAML configuration file and edits the input chat completion appropriately.
+
+    Args:
+        config_file (str | pathlib.Path | None): Path to the YAML configuration file for the
+            target intrinsic. Mutually exclusive with ``config_dict``.
+        config_dict (dict | None): Inline configuration dictionary. Mutually exclusive with
+            ``config_file``.
+        model_name (str | None): Optional model name used to locate model-specific overrides
+            within the configuration.
+
+    Attributes:
+        config (dict): Parsed YAML configuration file for the target intrinsic.
+        response_format (dict): JSON Schema of the expected response format.
+        parameters (dict): Additional parameters (key-value pairs) that this
+            rewriter adds to all chat completion requests.
+        extra_body_parameters (dict): Extended vLLM-specific parameters that go
+            under the ``extra_body`` element of each request. These are merged
+            with any existing ``extra_body`` content in incoming requests.
+        instruction (str | None): Optional instruction template. When present,
+            a new user message is appended with the formatted instruction.
+        sentence_boundaries (dict[str, str] | None): Optional sentence-boundary
+            marking specification, mapping location strings (``"last_message"``
+            or ``"documents"``) to marker prefixes (e.g. ``"c"`` produces
+            ``<c0>``, ``<c1>``, …).
+        docs_as_message (str | None): Optional specification for moving
+            documents from ``extra_body/documents`` to a user message at the
+            start of the messages list. Value must be ``"string"``, ``"json"``,
+            or ``"roles"``.
     """
 
     config: dict
@@ -198,14 +238,7 @@ def __init__(
         config_dict: dict | None = None,
         model_name: str | None = None,
     ):
-        """Initialize the IntrinsicsRewriter.
-
-        :param config_file: (optional) Location of YAML configuration file
-        :param config_dict: (optional) Contents of YAML configuration file that the
-            caller has parsed by calling ``yaml.safe_load()``.
-        :param model_name: (optional) model name to put into chat completion requests,
-         or ``None`` to use default model name from the configuration
-        """
+        """Initialize IntrinsicsRewriter from a YAML config file or dict."""
         config = make_config_dict(config_file, config_dict)
         if config is None:
             raise ValueError("config cannot be None")
diff --git a/mellea/formatters/granite/intrinsics/json_util.py b/mellea/formatters/granite/intrinsics/json_util.py
index afd74c4aa..573802680 100644
--- a/mellea/formatters/granite/intrinsics/json_util.py
+++ b/mellea/formatters/granite/intrinsics/json_util.py
@@ -1,6 +1,12 @@
 # SPDX-License-Identifier: Apache-2.0
 
-"""JSON parsing code used by this package."""
+"""JSON parsing utilities for Granite intrinsic formatters.
+
+Provides a fast, position-aware JSON literal parser (``JsonLiteralWithPosition``) used
+to extract and re-score tokens inside structured model outputs. The module also defines
+compiled regular expressions for JSON structural characters, numbers, booleans, and
+null values that are used throughout the Granite intrinsic formatting pipeline.
+"""
 
 # Standard
 import bisect
@@ -32,7 +38,16 @@
 
 
 class JsonLiteralWithPosition(pydantic.BaseModel):
-    """JSON literal value with its position in the source string."""
+    """JSON literal value with its position in the source string.
+
+    Attributes:
+        value (str | bool | int | float): The parsed Python value of the JSON
+            literal (string, boolean, integer, or float).
+        begin (int): Start offset (inclusive) of the literal within the source
+            JSON string.
+        end (int): End offset (exclusive) of the literal within the source
+            JSON string.
+    """
 
     value: str | bool | int | float
     begin: int
@@ -49,10 +64,12 @@ def find_string_offsets(json_data: str) -> list[tuple[int, int, str]]:
     Find the offsets of all strings in the input, assuming that this input
     contains valid JSON.
 
-    :param json_data: String containing valid JSON.
+    Args:
+        json_data: String containing valid JSON.
 
-    :returns: Begin and end offsets of all strings in ``json_data``, including
-     the double quotes.
+    Returns:
+        Begin and end offsets of all strings in ``json_data``, including
+        the double quotes.
     """
     result = []
     position = 0
@@ -69,12 +86,14 @@ def find_string_offsets(json_data: str) -> list[tuple[int, int, str]]:
 def non_string_offsets(json_str, compiled_regex, string_begins, string_ends):
     """Identify all matches of a regex that are not within string literals.
 
-    :param json_str: Original string of valid JSON data
-    :param compiled_regex: Compiled regex for the target token type
-    :param string_begins: table of string begin offsets within json_str
-    :param string_ends: table of string end offsets within json_str
-    :return: List of (begin, end, matched string) tuples
-    :rtype: list
+    Args:
+        json_str: Original string of valid JSON data.
+        compiled_regex: Compiled regex for the target token type.
+        string_begins: Table of string begin offsets within ``json_str``.
+        string_ends: Table of string end offsets within ``json_str``.
+
+    Returns:
+        List of ``(begin, end, matched_string)`` tuples.
     """
     offsets = []
     for match in compiled_regex.finditer(json_str):
@@ -94,9 +113,11 @@ def non_string_offsets(json_str, compiled_regex, string_begins, string_ends):
 def tokenize_json(json_str: str):
     """Lexer for parsing JSON.
 
-    :param json_str: String representation of valid JSON data.
-    :type json_str: str
-    :returns: List of tuples of (begin, end, value, type)
+    Args:
+        json_str: String representation of valid JSON data.
+
+    Returns:
+        List of tuples of ``(begin, end, value, type)``.
     """
     string_offsets = find_string_offsets(json_str)
     string_begins = [s[0] for s in string_offsets]
@@ -128,9 +149,16 @@ def reparse_value(tokens, offset) -> tuple[Any, int]:
     Main entry point for a recursive-descent JSON parser with offset generation.
     Assumes valid JSON.
 
-    :param tokens: Token stream as produced by :func:`tokenize_json()`
-    :param offset: Token offset at which to start parsing
-    :return: Value parsed at the indicated offset in the token stream and next offset
+    Args:
+        tokens: Token stream as produced by ``tokenize_json()``.
+        offset: Token offset at which to start parsing.
+
+    Returns:
+        Tuple of ``(parsed_value, next_offset)``.
+
+    Raises:
+        ValueError: If an unexpected delimiter token or unknown token type is
+            encountered at the current offset.
     """
     begin, end, value, type_ = tokens[offset]
     if type_ == "delim":
@@ -149,7 +177,25 @@ def reparse_value(tokens, offset) -> tuple[Any, int]:
 
 
 def reparse_object(tokens, offset) -> tuple[dict, int]:
-    """Subroutine for handling object parsing inside reparse_value()."""
+    """Parse a JSON object from the token stream, starting after the opening ``{``.
+
+    Subroutine called by :func:`reparse_value` when an opening curly brace is
+    encountered. Consumes tokens until the matching closing ``}`` is found.
+
+    Args:
+        tokens: Token stream as produced by ``tokenize_json()``.
+        offset (int): Token offset immediately after the opening ``{`` delimiter.
+
+    Returns:
+        tuple[dict, int]: A tuple of ``(parsed_dict, next_offset)`` where
+            ``parsed_dict`` maps string keys to parsed values (possibly
+            :class:`JsonLiteralWithPosition` instances) and ``next_offset``
+            is the position of the next unconsumed token.
+
+    Raises:
+        ValueError: If the token stream does not conform to valid JSON object
+            syntax (e.g. missing colon, unexpected delimiter, or non-string key).
+    """
     result: dict[Any, Any] = {}
     while True:
         begin, _, value, type_ = tokens[offset]
@@ -185,7 +231,25 @@ def reparse_object(tokens, offset) -> tuple[dict, int]:
 
 
 def reparse_list(tokens, offset) -> tuple[list, int]:
-    """Subroutine for handling list parsing inside reparse_value()."""
+    """Parse a JSON array from the token stream, starting after the opening ``[``.
+
+    Subroutine called by :func:`reparse_value` when an opening square bracket is
+    encountered. Consumes tokens until the matching closing ``]`` is found.
+
+    Args:
+        tokens: Token stream as produced by ``tokenize_json()``.
+        offset (int): Token offset immediately after the opening ``[`` delimiter.
+
+    Returns:
+        tuple[list, int]: A tuple of ``(parsed_list, next_offset)`` where
+            ``parsed_list`` contains the parsed elements (possibly
+            :class:`JsonLiteralWithPosition` instances) and ``next_offset``
+            is the position of the next unconsumed token.
+
+    Raises:
+        ValueError: If the token stream does not conform to valid JSON array
+            syntax (e.g. unexpected delimiter between elements).
+    """
     result: list[Any] = []
     while True:
         begin, _, value, type_ = tokens[offset]
@@ -208,12 +272,13 @@ def reparse_list(tokens, offset) -> tuple[list, int]:
 def reparse_json_with_offsets(json_str: str) -> Any:
     """Reparse a JSON string to compute the offsets of all literals.
 
-    :param json_str: String known to contain valid JSON data
-    :type json_str: str
-    :return: Parsed representation of ``json_str``, with literals at the leaf nodes of
-      the parse tree replaced with instances of :class:`JsonLiteralWithPosition`
-      containing position information.
-    :rtype: Any
+    Args:
+        json_str: String known to contain valid JSON data.
+
+    Returns:
+        Parsed representation of ``json_str``, with literals at the leaf nodes of
+        the parse tree replaced with ``JsonLiteralWithPosition`` instances containing
+        position information.
     """
     tokens = tokenize_json(json_str)
     return reparse_value(tokens, 0)[0]
@@ -222,9 +287,11 @@ def reparse_json_with_offsets(json_str: str) -> Any:
 def scalar_paths(parsed_json) -> list[tuple]:
     """Get paths to all scalar values in parsed JSON.
 
-    :param parsed_json: JSON data parsed into native Python objects
+    Args:
+        parsed_json: JSON data parsed into native Python objects.
 
-    :returns: A list of paths to scalar values within ``parsed_json``, where each
+    Returns:
+        A list of paths to scalar values within ``parsed_json``, where each
         path is expressed as a tuple. The root element of a bare scalar is an empty
         tuple.
     """
@@ -244,9 +311,11 @@ def scalar_paths(parsed_json) -> list[tuple]:
 def all_paths(parsed_json) -> list[tuple]:
     """Find all possible paths within a parsed JSON value.
 
-    :param parsed_json: JSON data parsed into native Python objects
+    Args:
+        parsed_json: JSON data parsed into native Python objects.
 
-    :returns: A list of paths to elements of the parse tree of ``parsed_json``,
+    Returns:
+        A list of paths to all elements of the parse tree of ``parsed_json``,
         where each path is expressed as a tuple. The root element of a bare scalar is
         an empty tuple.
     """
@@ -263,11 +332,17 @@ def all_paths(parsed_json) -> list[tuple]:
 def fetch_path(json_value: Any, path: tuple):
     """Get the node at the indicated path in JSON.
 
-    :param json_value: Parsed JSON value
-    :param path: A tuple of names/numbers that indicates a path from root to a leaf
-        or internal node of ``json_value``
+    Args:
+        json_value: Parsed JSON value.
+        path: A tuple of names/numbers that indicates a path from root to a leaf
+            or internal node of ``json_value``.
 
-    :returns: The node at the indicated leaf node
+    Returns:
+        The node at the indicated path.
+
+    Raises:
+        TypeError: If ``path`` is not a tuple, if a path element is not a string
+            or integer, or if an intermediate node is not a dict or list.
     """
     if not isinstance(path, tuple):
         raise TypeError(f"Expected tuple, but received '{type(path)}'")
@@ -294,12 +369,17 @@ def fetch_path(json_value: Any, path: tuple):
 def replace_path(json_value: Any, path: tuple, new_value: Any) -> Any:
     """Modify a parsed JSON value in place by setting a particular path.
 
-    :param json_value: Parsed JSON value
-    :param path: A tuple of names/numbers that indicates a path from root to node of
-        ``json_value``
-    :param new_value: New value to put in place at the indicated location
+    Args:
+        json_value: Parsed JSON value.
+        path: A tuple of names/numbers indicating a path from root to the target node.
+        new_value: New value to place at the indicated location.
+
+    Returns:
+        The modified input, or ``new_value`` itself if the root was replaced.
 
-    :returns: The modified input, or a new value if the root was modified.
+    Raises:
+        TypeError: If ``path`` is not a tuple, or if any error propagated from
+            :func:`fetch_path` during path traversal.
     """
     if not isinstance(path, tuple):
         raise TypeError(f"Expected tuple, but received '{type(path)}'")
@@ -314,10 +394,12 @@ def replace_path(json_value: Any, path: tuple, new_value: Any) -> Any:
 def parse_inline_json(json_response: dict) -> dict:
     """Replace the JSON strings in message contents with parsed JSON.
 
-    :param json_response: parsed JSON representation of a ``ChatCompletionResponse``
-        object.
+    Args:
+        json_response: Parsed JSON representation of a ``ChatCompletionResponse`` object.
 
-    :returns: Copy of the input with JSON message contents parsed.
+    Returns:
+        Deep copy of the input with JSON message content strings replaced by parsed
+        Python objects.
     """
     result = copy.deepcopy(json_response)
 
@@ -333,11 +415,13 @@ def parse_inline_json(json_response: dict) -> dict:
 def make_begin_to_token_table(logprobs: ChatCompletionLogProbs | None):
     """Create a table mapping token begin positions to token indices.
 
-    :param logprobs: The token log probabilities from the chat completion, or ``None``
-        if the chat completion request did not ask for logprobs
+    Args:
+        logprobs: The token log probabilities from the chat completion, or ``None``
+            if the chat completion request did not ask for logprobs.
 
-    :returns: A dictionary mapping token begin positions to token indices,
-        or ``None`` if logprobs is ``None``.
+    Returns:
+        A dictionary mapping token begin positions to token indices,
+        or ``None`` if ``logprobs`` is ``None``.
     """
     if logprobs is None:
         return None
diff --git a/mellea/formatters/granite/intrinsics/output.py b/mellea/formatters/granite/intrinsics/output.py
index 5eb0bafb3..aaa3efdae 100644
--- a/mellea/formatters/granite/intrinsics/output.py
+++ b/mellea/formatters/granite/intrinsics/output.py
@@ -39,19 +39,25 @@ class _MappingType(enum.Enum):
 
 
 class TransformationRule(abc.ABC):
-    """Base class for transformation rules to apply to JSON outputs of intrinsics."""
+    """Base class for transformation rules to apply to JSON outputs of intrinsics.
+
+    Args:
+        config (dict): Configuration of the parent output processor, as parsed YAML.
+        input_path_expr (list[str | int | None]): Path expression matching all
+            instances of the field that this rule transforms. Elements can be
+            strings for object fields, integers for list indices, or ``None``
+            for wildcard matches.
+
+    Attributes:
+        YAML_NAME (str | None): The name used to identify this rule in YAML
+            configuration files. Subclasses must set this to a non-``None`` string.
+    """
 
     YAML_NAME: str | None = None
     """Subclasses should set this to the name of the rule in YAML config files."""
 
     def __init__(self, config: dict, input_path_expr: list[str | int | None]):
-        """Initialize the TransformationRule.
-
-        :param config: Configuration of the parent output processor, as parsed YAML.
-        :param input_path_expr: Path expression that matches all instances of the field
-            that this rule transforms. Elements can be strings for object fields,
-            ints for list indices, or ``None`` for wildcard matches.
-        """
+        """Initialize TransformationRule with a config dict and a path expression."""
         self.config = config
         self.input_path_expr = input_path_expr
 
@@ -92,7 +98,14 @@ def _matching_paths(self, parsed_json: Any) -> list[tuple]:
         return [p for p in json_util.all_paths(parsed_json) if self._is_input_path(p)]
 
     def rule_name(self) -> str:
-        """Get the rule name."""
+        """Return the YAML name that identifies this transformation rule.
+
+        Returns:
+            str: The value of ``YAML_NAME`` for this rule subclass.
+
+        Raises:
+            ValueError: If ``YAML_NAME`` has not been set by the subclass.
+        """
         if self.YAML_NAME is None:
             raise ValueError(f"Attempted to fetch missing rule name for {type(self)}")
         return self.YAML_NAME
@@ -121,16 +134,23 @@ def apply(
         logprobs: ChatCompletionLogProbs | None,
         chat_completion: ChatCompletion | None,
     ) -> Any:
-        """Main entry point.
-
-        :param parsed_json: Output of running model results through
-            :func:`json.loads()`, plus applying zero or more transformation rules.
-        :param reparsed_json: Output of running the same model results through
-            :func:`json_util.reparse_json_with_offsets()`.
-        :param logprobs: Optional logprobs result associated with the original model
-            output string, or ``None`` of no logprobs were present.
-        :param chat_completion: The chat completion request that produced this output.
-        :returns: Transformed copy of ``parsed_json`` after applying this rule.
+        """Apply this transformation rule to the parsed model output.
+
+        Args:
+            parsed_json (Any): Output of running model results through
+                :func:`json.loads()`, plus applying zero or more prior
+                transformation rules.
+            reparsed_json (Any): Output of running the same model results
+                through :func:`json_util.reparse_json_with_offsets()`,
+                preserving position information on literal values.
+            logprobs (ChatCompletionLogProbs | None): Optional logprobs result
+                associated with the original model output string, or ``None``
+                if no logprobs were present.
+            chat_completion (ChatCompletion | None): The chat completion request
+                that produced this output. Required by some rules.
+
+        Returns:
+            Any: Transformed copy of ``parsed_json`` after applying this rule.
         """
         paths = self._matching_paths(parsed_json)
         prepare_output = self._prepare(
@@ -260,6 +280,18 @@ class TokenToFloat(InPlaceTransformation):
     """Transformation rule that decodes token logprobs to a floating point number.
 
     The floating point number replaces the original categorical value in the JSON.
+
+    Args:
+        config (dict): Configuration of the parent output processor, as parsed YAML.
+        input_path_expr (list[str | int | None]): Path expression matching all
+            instances of the field that this rule transforms.
+        categories_to_values (dict[str | int | bool, float] | None): Mapping
+            from categorical labels to floating-point values. Defaults to
+            ``None``.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"likelihood"``.
     """
 
     YAML_NAME = "likelihood"
@@ -271,12 +303,7 @@ def __init__(
         /,
         categories_to_values: dict[str | int | bool, float] | None = None,
     ):
-        """Initialize TokenToFloat transformation rule.
-
-        :param categories_to_values: Mapping from categorical labels to floating-point
-            values.
-        :type categories_to_values: dict[str | int | bool, float]
-        """
+        """Initialize TokenToFloat with an optional mapping from categorical labels to float values."""
         super().__init__(config, input_path_expr)
         self.categories_to_values = categories_to_values
 
@@ -452,7 +479,34 @@ def _desplit_sentences(
 
 
 class DecodeSentences(AddFieldsTransformation):
-    """Transformation rule that decodes sentence refs into begin, end, text tuples."""
+    """Transformation rule that decodes sentence refs into begin, end, text tuples.
+
+    Args:
+        config (dict): Configuration of the parent output processor, as parsed YAML.
+        input_path_expr (list[str | int | None]): Path expression matching all
+            instances of the field that this rule transforms.
+        source (str): Name of the location to look for sentences; must be
+            ``"last_message"`` or ``"documents"``.
+        output_names (dict): Mapping from output role name (``"begin"``,
+            ``"end"``, ``"text"``, ``"document_id"``) to the name of the new
+            field to add in the result JSON.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"decode_sentences"``.
+        begin_name (str | None): Name of the output field that receives the
+            sentence begin offset; extracted from ``output_names``, or ``None``
+            if not configured.
+        end_name (str | None): Name of the output field that receives the
+            sentence end offset; extracted from ``output_names``, or ``None``
+            if not configured.
+        text_name (str | None): Name of the output field that receives the
+            sentence text; extracted from ``output_names``, or ``None`` if not
+            configured.
+        document_id_name (str | None): Name of the output field that receives
+            the document ID (only used when ``source="documents"``); extracted
+            from ``output_names``, or ``None`` if not configured.
+    """
 
     YAML_NAME = "decode_sentences"
 
@@ -464,11 +518,13 @@ def __init__(
         source: str,
         output_names: dict,
     ):
-        """Initialize DecodeSentences transformation rule.
+        """Initialize DecodeSentences with a source location and output field name mapping.
 
-        :param source: Name of the location to look for sentences; can be "last_message"
-             or "documents".
-        :param output_names: Names of new result fields to add
+        Raises:
+            ValueError: If ``source`` is not ``"last_message"`` or
+                ``"documents"``, or if an unexpected key is found in
+                ``output_names``.
+            TypeError: If ``output_names`` is not a dict.
         """
         super().__init__(config, input_path_expr)
 
@@ -622,6 +678,12 @@ class Explode(InPlaceTransformation):
 
     Turn each row in a list of records into zero or more rows by expanding
     the elements of a list-valued attribute.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"explode"``.
+        target_field (str): Name of the list-valued field within each record
+            to expand.
     """
 
     YAML_NAME = "explode"
@@ -683,7 +745,14 @@ def _transform(self, value, path, prepare_output):
 
 
 class DropDuplicates(InPlaceTransformation):
-    """Remove duplicate records from a list of records."""
+    """Remove duplicate records from a list of records.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"drop_duplicates"``.
+        target_fields (list): Names of fields used to determine whether two
+            records are considered duplicates.
+    """
 
     YAML_NAME = "drop_duplicates"
 
@@ -724,7 +793,7 @@ def _transform(self, value, path, prepare_output):
                         f"deduplication be present in all rows. "
                         f"Element is: {element}"
                     )
-            key = (element[t] for t in self.target_fields)
+            key = tuple(element[t] for t in self.target_fields)
             key_to_record[key] = element
         return list(key_to_record.values())
 
@@ -734,6 +803,13 @@ class Project(InPlaceTransformation):
 
     Project records down to a specified set of fields.  Can also rename the
     retained fields.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"project"``.
+        retained_fields (dict): Mapping from original field name to the
+            (possibly renamed) output field name. Initialized from either a
+            list of field names (identity mapping) or an explicit mapping.
     """
 
     YAML_NAME = "project"
@@ -777,7 +853,14 @@ def _transform(self, value, path, prepare_output):
 
 
 class Nest(InPlaceTransformation):
-    """Convert a value within a JSON structure into a record with a single field."""
+    """Convert a value within a JSON structure into a record with a single field.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"nest"``.
+        field_name (str): Name of the single field in the output JSON object
+            that wraps each matching value.
+    """
 
     YAML_NAME = "nest"
 
@@ -801,7 +884,24 @@ def _transform(self, value, path, prepare_output):
 
 
 class MergeSpans(InPlaceTransformation):
-    """Merge adjacent spans into larger spans."""
+    """Merge adjacent spans into larger spans.
+
+    Args:
+        config: Parsed YAML config for IO processing.
+        input_path_expr: Path expression for the list of records to merge.
+        group_fields (list): List of fields used for grouping prior to merging
+            spans.
+        begin_field (str): Name of the field that holds the begin offset of
+            spans.
+        end_field (str): Name of the field that holds the end offset of spans.
+        text_field (str | None): Optional field containing covered text strings
+            that should be concatenated when spans are merged. Defaults to
+            ``None``.
+
+    Attributes:
+        YAML_NAME (str): YAML configuration key for this rule; always
+            ``"merge_spans"``.
+    """
 
     YAML_NAME = "merge_spans"
 
@@ -815,17 +915,7 @@ def __init__(
         end_field: str,
         text_field: str | None = None,
     ):
-        """Initialize MergeSpans transformation rule.
-
-        :param config: Parsed YAML config for IO processing
-        :param input_path_expr: Path expression for the list of records to explode
-        :param group_fields: List of fields that are used for grouping prior to merge
-            spans.
-        :param begin_field: Name of field that holds the begin offset of spans
-        :param end_field: Name of field that holds the end offset of spans
-        :param text_field: Optional field containing covered text strings that should
-            be concatenated when spans are merged.
-        """
+        """Initialize MergeSpans with span field names and optional grouping fields."""
         super().__init__(config, input_path_expr)
         self._type_check("group_fields", group_fields, list)
         self._type_check("begin_field", begin_field, str)
@@ -1065,6 +1155,20 @@ class IntrinsicsResultProcessor(ChatCompletionResultProcessor):
     General-purpose chat completion result processor for use with the models that
     implement intrinsics. Reads parameters of the model's input and output formats
     from a YAML configuration file and edits the input chat completion appropriately.
+
+    Attributes:
+        config (dict): Parsed YAML configuration file for the target intrinsic.
+        rules (list[TransformationRule]): Ordered list of transformation rules
+            that this processor applies to each choice in a chat completion
+            response.
+
+    Args:
+        config_file (str | pathlib.Path | None): Optional path to a YAML
+            configuration file. Exactly one of ``config_file`` and
+            ``config_dict`` must be provided.
+        config_dict (dict | None): Optional pre-parsed YAML configuration dict.
+            Exactly one of ``config_file`` and ``config_dict`` must be
+            provided.
     """
 
     config: dict
@@ -1079,11 +1183,7 @@ def __init__(
         config_file: str | pathlib.Path | None = None,
         config_dict: dict | None = None,
     ):
-        """Initialize IntrinsicsResultProcessor.
-
-        :param config_file: (optional) Location of YAML configuration file
-        :param config_dict: (optional) Parsed contents of YAML configuration file
-        """
+        """Initialize IntrinsicsResultProcessor from a YAML config file or dict."""
         config = make_config_dict(config_file, config_dict)
         if config is None:
             raise ValueError("config cannot be None")
diff --git a/mellea/formatters/granite/intrinsics/util.py b/mellea/formatters/granite/intrinsics/util.py
index e20a16c21..2e4539d1f 100644
--- a/mellea/formatters/granite/intrinsics/util.py
+++ b/mellea/formatters/granite/intrinsics/util.py
@@ -29,8 +29,22 @@ def make_config_dict(
     This function is not a public API and is not intended for use outside this library.
 
     Common initialization code for reading YAML config files in factory classes.
-
     Also parses JSON fields.
+
+    Args:
+        config_file: Path to a YAML configuration file. Exactly one of ``config_file``
+            and ``config_dict`` must be provided.
+        config_dict: Pre-parsed configuration dict (from ``yaml.safe_load()``). Exactly
+            one of ``config_file`` and ``config_dict`` must be provided.
+
+    Returns:
+        Validated configuration dict with optional fields set to ``None`` and JSON
+        string fields parsed to Python objects.
+
+    Raises:
+        ValueError: If both or neither of ``config_file`` and ``config_dict`` are
+            provided, if a required field is missing, if an unexpected top-level
+            field is encountered, or if a JSON field cannot be parsed.
     """
     if (config_file is None and config_dict is None) or (
         config_file is not None and config_dict is not None
@@ -100,17 +114,24 @@ def obtain_lora(
     https://huggingface.co/ibm-granite/granite-lib-rag-r1.0). Caches the downloaded
     adapter files on local disk.
 
-    :param intrinsic_name: Short name of the intrinsic model, such as "certainty".
-    :param target_model_name: Name of the base model for the LoRA or aLoRA adapter.
-    :param repo_id: Optional name of Hugging Face Hub repository containing a collection
-        of LoRA and/or aLoRA adapters for intrinsics.
-    :param alora: If ``True``, load aLoRA version of intrinsic; otherwise use LoRA
-    :param cache_dir: Local directory to use as a cache (in Hugging Face Hub format),
-        or ``None`` to use the Hugging Face Hub default location.
-    :param file_glob: Only files that match this glob will be downloaded to the cache.
-
-    :returns: the full path to the local copy of the specified (a)LoRA adapter.
-    This path is suitable for passing to commands that will serve the adapter.
+    Args:
+        intrinsic_name: Short name of the intrinsic model, such as ``"certainty"``.
+        target_model_name: Name of the base model for the LoRA or aLoRA adapter.
+        repo_id: Hugging Face Hub repository containing a collection of LoRA and/or
+            aLoRA adapters for intrinsics.
+        revision: Git revision of the repository to download from.
+        alora: If ``True``, load the aLoRA version of the intrinsic; otherwise use LoRA.
+        cache_dir: Local directory to use as a cache (Hugging Face Hub format), or
+            ``None`` to use the default location.
+        file_glob: Only files matching this glob will be downloaded to the cache.
+
+    Returns:
+        Full path to the local copy of the specified (a)LoRA adapter, suitable for
+        passing to commands that serve the adapter.
+
+    Raises:
+        ValueError: If the specified intrinsic adapter cannot be found in the
+            Hugging Face Hub repository at the expected path.
     """
     # Third Party
     import huggingface_hub
@@ -168,17 +189,19 @@ def obtain_io_yaml(
     https://huggingface.co/ibm-granite/granite-lib-rag-r1.0) if one is not
     already in the local cache.
 
-    :param intrinsic_name: Short name of the intrinsic model, such as "certainty".
-    :param target_model_name: Name of the base model for the LoRA or aLoRA adapter.
-    :param repo_id: Optional name of Hugging Face Hub repository containing a collection
-        of LoRA and/or aLoRA adapters for intrinsics.
-        Default is to use rag-intrinsics-lib.
-    :param alora: If ``True``, load aLoRA version of intrinsic; otherwise use LoRA
-    :param cache_dir: Local directory to use as a cache (in Hugging Face Hub format),
-        or ``None`` to use the Hugging Face Hub default location.
-
-    :returns: the full path to the local copy of the specified (a)LoRA adapter.
-    This path is suitable for passing to commands that will serve the adapter.
+    Args:
+        intrinsic_name: Short name of the intrinsic model, such as ``"certainty"``.
+        target_model_name: Name of the base model for the LoRA or aLoRA adapter.
+        repo_id: Hugging Face Hub repository containing a collection of LoRA and/or
+            aLoRA adapters for intrinsics.
+        revision: Git revision of the repository to download from.
+        alora: If ``True``, load the aLoRA version of the intrinsic; otherwise use LoRA.
+        cache_dir: Local directory to use as a cache (Hugging Face Hub format), or
+            ``None`` to use the default location.
+
+    Returns:
+        Full path to the local copy of the ``io.yaml`` file, suitable for passing to
+        ``IntrinsicsRewriter``.
     """
     lora_dir = obtain_lora(
         intrinsic_name,
diff --git a/mellea/formatters/granite/retrievers/elasticsearch.py b/mellea/formatters/granite/retrievers/elasticsearch.py
index 5fed87807..092b52490 100644
--- a/mellea/formatters/granite/retrievers/elasticsearch.py
+++ b/mellea/formatters/granite/retrievers/elasticsearch.py
@@ -6,14 +6,25 @@
 
 
 class ElasticsearchRetriever:
-    """Retriever for documents hosted on an ElasticSearch server."""
+    """Retriever for documents hosted on an Elasticsearch server.
 
-    def __init__(self, corpus_name: str, host: str, **kwargs: Any):
-        """Initialize ElasticsearchRetriever.
+    Queries an Elasticsearch index using the ELSER sparse-vector model to
+    retrieve the top-k matching documents for a given natural language query.
 
-        :param hosts: Full url:port to the Elasticsearch server.
-        :param kwargs: Additional kwargs to pass to the Elasticsearch class.
-        """
+    Attributes:
+        hosts (str): Full ``url:port`` connection string to the Elasticsearch
+            server; stored from the ``host`` constructor argument.
+
+    Args:
+        corpus_name (str): Name of the Elasticsearch index to query.
+        host (str): Full ``url:port`` connection string to the Elasticsearch
+            server.
+        **kwargs (Any): Additional keyword arguments forwarded to the
+            ``Elasticsearch`` client constructor.
+    """
+
+    def __init__(self, corpus_name: str, host: str, **kwargs: Any):
+        """Initialize ElasticsearchRetriever with index name and connection details."""
         # Third Party
         from elasticsearch import Elasticsearch  # type: ignore[import-not-found]
 
@@ -29,8 +40,10 @@ def __init__(self, corpus_name: str, host: str, **kwargs: Any):
     def create_es_body(self, limit, query):
         """Create a query body for Elasticsearch.
 
-        :param limit: Max number of documents to retrieve.
-        :param query: Query string for retrieving documents.
+        Args:
+            limit (int): Maximum number of documents to retrieve.
+            query (str): Natural language query string used for ELSER
+                sparse-vector retrieval.
         """
         body = {
             "size": limit,
@@ -50,7 +63,16 @@ def create_es_body(self, limit, query):
         return body
 
     def retrieve(self, query: str, top_k: int = 5) -> list[dict]:
-        """Run a query and return results."""
+        """Run a query against the Elasticsearch index and return top-k results.
+
+        Args:
+            query (str): Natural language query string to search for.
+            top_k (int): Maximum number of documents to return. Defaults to ``5``.
+
+        Returns:
+            list[dict]: List of matching documents, each with keys ``doc_id``,
+                ``text``, and ``score``.
+        """
         body = self.create_es_body(top_k, query)
 
         retriever_results = self.es.search(index=self.corpus_name, body=body)
diff --git a/mellea/formatters/granite/retrievers/embeddings.py b/mellea/formatters/granite/retrievers/embeddings.py
index b1811b41a..e1d4c611a 100644
--- a/mellea/formatters/granite/retrievers/embeddings.py
+++ b/mellea/formatters/granite/retrievers/embeddings.py
@@ -93,18 +93,20 @@ def compute_embeddings(
     # pylint: disable=too-many-locals
     """Split documents into windows and compute embeddings for each of the the windows.
 
-    :param corpus: PyArrow Table of documents as returned by :func:`read_corpus()`.
-        Should have the columns ``["id", "url", "title", "text"]``
-    :param embedding_model_name: Hugging Face model name for the model that computes
-        embeddings. Also used for tokenizing.
-    :param chunk_size: Maximum size of chunks to split documents into, in embedding
-        model tokens; must be less than or equal to the embedding model's maximum
-        sequence length.
-    :param overlap: Target overlap between adjacent chunks, in embedding model tokens.
-        Actual begins and ends of chunks will be on sentence boundaries.
-
-    :returns: PyArrow Table of chunks of the corpus, with schema
-        ````["id", "url", "title", "begin", "end", "text", "embedding"]``
+    Args:
+        corpus: PyArrow Table of documents as returned by ``read_corpus()``.
+            Should have the columns ``["id", "url", "title", "text"]``.
+        embedding_model_name: Hugging Face model name for the model that computes
+            embeddings. Also used for tokenizing.
+        chunk_size: Maximum size of chunks to split documents into, in embedding
+            model tokens; must be less than or equal to the embedding model's maximum
+            sequence length.
+        overlap: Target overlap between adjacent chunks, in embedding model tokens.
+            Actual begins and ends of chunks will be on sentence boundaries.
+
+    Returns:
+        PyArrow Table of chunks of the corpus, with schema
+        ``["id", "url", "title", "begin", "end", "text", "embedding"]``.
     """
     # Third Party
     import pyarrow as pa
@@ -187,12 +189,15 @@ def write_embeddings(
     Write the embeddings produced by :func:`compute_embeddings()` to a directory of
     Parquet files on local disk.
 
-    :param target_dir: Location where the files should be written (in a subdirectory)
-    :param corpus_name: Corpus name to use in generating a location for writing files
-    :param chunks_per_partition: Number of document chunks to write to each partition
-      of the Parquet file
+    Args:
+        target_dir: Location where the files should be written (in a subdirectory).
+        corpus_name: Corpus name used to generate the output directory name.
+        embeddings: PyArrow Table produced by ``compute_embeddings()``.
+        chunks_per_partition: Number of document chunks to write to each Parquet
+            partition file.
 
-    :param returns: Path where data was written
+    Returns:
+        Path to the directory where the Parquet files were written.
     """
     # Third Party
     import pyarrow as pa
@@ -212,22 +217,22 @@ def write_embeddings(
 
 
 class InMemoryRetriever:
-    """Simple retriever that keeps docs and embeddings in memory."""
+    """Simple retriever that keeps docs and embeddings in memory.
+
+    Args:
+        data_file_or_table: Parquet file of document snippets and embeddings, or an equivalent
+            in-memory PyArrow Table. Should have columns ``id``, ``begin``, ``end``, ``text``,
+            and ``embedding``.
+        embedding_model_name (str): Name of the Sentence Transformers model to use for embeddings.
+            Must match the model used to compute embeddings in the data file.
+    """
 
     def __init__(
         self,
         data_file_or_table,  #: pathlib.Path | str | pa.Table,
         embedding_model_name: str,
     ):
-        """Simple retriever that keeps docs and embeddings in memory.
-
-        :param data_file_or_table: Parquet file of document snippets and embeddings,
-         or an equivalent in-memory PyArrow Table object.
-         Should have columns `id`, `begin`, `end`, `text`, and `embedding`.
-        :param embedding_model_name: Name of Sentence Transformers model to use for
-         embeddings. Must be the same model that was used to compute embeddings in the
-         data file.
-        """
+        """Initialize InMemoryRetriever by loading embeddings and the sentence transformer model."""
         # Third Party
         import pyarrow as pa
         import pyarrow.parquet as pq
@@ -251,7 +256,15 @@ def __init__(
         self._embeddings = torch.tensor(embeddings_array)
 
     def retrieve(self, query: str, top_k: int = 5) -> list[dict]:
-        """Run a query and return results."""
+        """Run a query and return results.
+
+        Args:
+            query: Natural language query string.
+            top_k: Number of top results to return.
+
+        Returns:
+            List of dicts with keys ``doc_id``, ``text``, and ``score``.
+        """
         # Third Party
         import pyarrow as pa
         import sentence_transformers
diff --git a/mellea/formatters/granite/retrievers/util.py b/mellea/formatters/granite/retrievers/util.py
index 7eb2e2a02..66aeaa93d 100644
--- a/mellea/formatters/granite/retrievers/util.py
+++ b/mellea/formatters/granite/retrievers/util.py
@@ -17,10 +17,16 @@
 def download_mtrag_corpus(target_dir: str, corpus_name: str) -> pathlib.Path:
     """Download a corpus file from the MTRAG benchmark if the file hasn't already present.
 
-    :param target_dir: Location where the file should be written if not already present.
-    :param corpus_name: Should be one of "cloud", "clapnq", "fiqa", or "govt"
+    Args:
+        target_dir: Location where the file should be written if not already present.
+        corpus_name: Should be one of ``"cloud"``, ``"clapnq"``, ``"fiqa"``,
+            or ``"govt"``.
 
-    :returns: Path to the downloaded (or cached) file.
+    Returns:
+        Path to the downloaded (or cached) file.
+
+    Raises:
+        ValueError: If ``corpus_name`` is not one of the supported corpus names.
     """
     corpus_names = ("cloud", "clapnq", "fiqa", "govt")
     if corpus_name not in corpus_names:
@@ -42,10 +48,16 @@ def download_mtrag_corpus(target_dir: str, corpus_name: str) -> pathlib.Path:
 def read_mtrag_corpus(corpus_file: str | pathlib.Path) -> pa.Table:
     """Read the documents from one of the MTRAG benchmark's corpora.
 
-    :param corpus_file: Location where the corpus data is located.
+    Args:
+        corpus_file: Location of the corpus data file.
+
+    Returns:
+        Documents from the corpus as a PyArrow table, with schema
+        ``["id", "url", "title", "text"]``.
 
-    :returns: Documents from the corpus as a Pyarrow table, with schema
-        ``["id", "url", "title", "text"]``
+    Raises:
+        TypeError: If the ID column cannot be identified or if no ``text`` column
+            is present in the corpus file.
     """
     if not isinstance(corpus_file, pathlib.Path):
         corpus_file = pathlib.Path(corpus_file)
@@ -84,11 +96,18 @@ def read_mtrag_corpus(corpus_file: str | pathlib.Path) -> pa.Table:
 def download_mtrag_embeddings(embedding_name: str, corpus_name: str, target_dir: str):
     """Download precomputed embeddings for a corpus in the MTRAG benchmark.
 
-    :param embedding_name: Name of SentenceTransformers embedding model that was used
-     to create the embeddings.
-    :param corpus_name: Should be one of "cloud", "clapnq", "fiqa", or "govt"
-    :param target_dir: Location where Parquet files with names "part_001.parquet",
-     "part_002.parquet", etc. will be written.
+    Args:
+        embedding_name: Name of the SentenceTransformers embedding model used to
+            create the embeddings.
+        corpus_name: Should be one of ``"cloud"``, ``"clapnq"``, ``"fiqa"``,
+            or ``"govt"``.
+        target_dir: Location where Parquet files named ``"part_001.parquet"``,
+            ``"part_002.parquet"``, etc. will be written.
+
+    Raises:
+        ValueError: If ``corpus_name`` is not one of the supported corpus names, or
+            if no precomputed embeddings are found for the given corpus and embedding
+            model combination.
     """
     corpus_names = ("cloud", "clapnq", "fiqa", "govt")
     if corpus_name not in corpus_names:
diff --git a/mellea/formatters/template_formatter.py b/mellea/formatters/template_formatter.py
index c15e7ed76..90c806297 100644
--- a/mellea/formatters/template_formatter.py
+++ b/mellea/formatters/template_formatter.py
@@ -1,4 +1,12 @@
-"""Template Formatter."""
+"""``TemplateFormatter``: Jinja2-template-based formatter for legacy backends.
+
+``TemplateFormatter`` extends ``ChatFormatter`` to look up a per-component Jinja2
+template at rendering time, allowing each ``Component`` type to control its own
+prompt representation. Template discovery walks a configurable ``template_path`` and
+the built-in templates directory; results are cached in a ``SimpleLRUCache`` for
+performance. Use this formatter when your backend requires hand-crafted prompts
+rather than a generic chat-message rendering.
+"""
 
 import os
 import re
@@ -16,7 +24,28 @@
 
 
 class TemplateFormatter(ChatFormatter):
-    """Formatter that uses jinja2 templates."""
+    """Formatter that uses Jinja2 templates to render components into prompt strings.
+
+    Template discovery walks a configurable ``template_path`` and the built-in
+    templates directory. Results are optionally cached in a ``SimpleLRUCache``
+    for performance. Use this formatter when your backend requires hand-crafted
+    prompts rather than generic chat-message rendering.
+
+    Args:
+        model_id (str | ModelIdentifier): Describes the model for which templates will be looked up.
+            Should match the template directory structure.
+        template_path (str): An alternate location where templates can be found.
+            Will be preferred over all other template directories even if a less exact match is found.
+            Defaults to ``""``.
+        use_template_cache (bool): When ``True``, caches template lookup results. Set to ``False``
+            if you plan to change ``model_id`` or ``template_path`` after construction.
+            Defaults to ``True``.
+
+    Example::
+
+        formatter = TemplateFormatter(model_id="my-model", template_path="/path/to/templates")
+        text = formatter.print(my_component)
+    """
 
     def __init__(
         self,
@@ -25,13 +54,7 @@ def __init__(
         template_path: str = "",
         use_template_cache: bool = True,
     ):
-        """A TemplateFormatter use jinja2 templates.
-
-        Args:
-            model_id: Describes the model for which templates will be looked up. Should match the template dir structure.
-            template_path: Specify an alternate location where templates can be found. Will be preferred over all other template dirs even if a less exact match is found.
-            use_template_cache: Cache the location of the most recent templates so that future lookups don't need to be performed. Set to false if you plan on changing the model_id or template_path after the TemplateFormatter has been created.
-        """
+        """Initialize TemplateFormatter for the given model ID with optional template path and caching."""
         self.model_id = model_id
         self._template_path: str = template_path
 
@@ -110,7 +133,14 @@ def _stringify(
                 return str(c)
 
     def print(self, c: Component | CBlock) -> str:
-        """Uses a jinja2 template to pretty-print components."""
+        """Render a component or code block to a string using a Jinja2 template.
+
+        Args:
+            c (Component | CBlock): The component or code block to render.
+
+        Returns:
+            str: The rendered string representation of the component.
+        """
         return self._stringify(c)
 
     def _load_template(self, repr: TemplateRepresentation) -> jinja2.Template:
diff --git a/mellea/helpers/__init__.py b/mellea/helpers/__init__.py
index bc8a10642..62b22eb6a 100644
--- a/mellea/helpers/__init__.py
+++ b/mellea/helpers/__init__.py
@@ -1,4 +1,13 @@
-"""Various Helpers and Utilities."""
+"""Low-level helpers and utilities supporting mellea backends.
+
+This package provides the internal plumbing used by the built-in backend
+implementations: async utilities (``send_to_queue``, ``wait_for_all_mots``,
+``ClientCache``) for managing concurrent model-output thunks; OpenAI-compatible
+message conversion helpers (``message_to_openai_message``, ``messages_to_docs``,
+``chat_completion_delta_merge``); and ``_ServerType`` detection for adapting
+structured-output support to the target server. Most user code will not import from
+this package directly — it is consumed internally by the backend layer.
+"""
 
 from .async_helpers import (
     ClientCache,
diff --git a/mellea/helpers/async_helpers.py b/mellea/helpers/async_helpers.py
index 3bec74a5c..0618d54c1 100644
--- a/mellea/helpers/async_helpers.py
+++ b/mellea/helpers/async_helpers.py
@@ -1,4 +1,12 @@
-"""Async helper functions."""
+"""Async helper functions for managing concurrent model output thunks.
+
+Provides ``send_to_queue``, which feeds a backend response coroutine or async iterator
+into an ``asyncio.Queue`` (including sentinel and error forwarding); ``wait_for_all_mots``,
+which gathers multiple ``ModelOutputThunk`` computations in a single ``asyncio.gather``
+call; and ``get_current_event_loop``, a safe wrapper that returns ``None`` instead of
+raising when no event loop is running. These utilities are used internally by backends
+that operate in async contexts.
+"""
 
 import asyncio
 from collections import OrderedDict
@@ -11,7 +19,13 @@
 async def send_to_queue(
     co: Coroutine[Any, Any, AsyncIterator | Any] | AsyncIterator, aqueue: asyncio.Queue
 ) -> None:
-    """Processes the output of an async chat request by sending the output to an async queue."""
+    """Processes the output of an async chat request by sending the output to an async queue.
+
+    Args:
+        co: A coroutine or async iterator producing the backend response.
+        aqueue: The async queue to send results to. A sentinel ``None`` is appended on
+            completion; an exception instance is appended on error.
+    """
     try:
         if isinstance(co, Coroutine):
             aresponse = await co
@@ -41,6 +55,9 @@ async def wait_for_all_mots(mots: list[ModelOutputThunk]) -> None:
 
     All ModelOutputThunks must be from the same event loop. This should always be the case in sampling
     functions, session functions, and top-level mellea functions.
+
+    Args:
+        mots: List of ``ModelOutputThunk`` objects to await concurrently.
     """
     coroutines: list[Coroutine[Any, Any, str]] = []
     for mot in mots:
@@ -50,7 +67,11 @@ async def wait_for_all_mots(mots: list[ModelOutputThunk]) -> None:
 
 
 def get_current_event_loop() -> None | asyncio.AbstractEventLoop:
-    """Get the current event loop without having to catch exceptions."""
+    """Get the current event loop without having to catch exceptions.
+
+    Returns:
+        The running event loop, or ``None`` if no loop is running.
+    """
     loop = None
     try:
         loop = asyncio.get_running_loop()
@@ -63,22 +84,37 @@ class ClientCache:
     """A simple [LRU](https://en.wikipedia.org/wiki/Cache_replacement_policies#Least_Recently_Used_(LRU)) cache.
 
     Used to keep track of clients for backends where the client is tied to a specific event loop.
+
+    Args:
+        capacity (int): Maximum number of entries to hold before evicting the least recently used.
+
+    Attributes:
+        cache (OrderedDict): Ordered dictionary storing cached key-value pairs in LRU
+            order; always initialised empty at construction.
     """
 
     def __init__(self, capacity: int):
-        """Initializes the LRU cache with a certain capacity.
-
-        The `ClientCache` either contains a value or it doesn't.
-        """
+        """Initialize the client LRU cache with the given capacity."""
         self.capacity = capacity
         self.cache: OrderedDict = OrderedDict()
 
     def current_size(self) -> int:
-        """Just return the size of the key set. This isn't necessarily safe."""
+        """Just return the size of the key set. This isn't necessarily safe.
+
+        Returns:
+            Number of entries currently in the cache.
+        """
         return len(self.cache.keys())
 
     def get(self, key: int) -> Any | None:
-        """Gets a value from the cache."""
+        """Gets a value from the cache.
+
+        Args:
+            key: Integer cache key.
+
+        Returns:
+            The cached value, or ``None`` if the key is not present.
+        """
         if key not in self.cache:
             return None
         else:
@@ -88,7 +124,12 @@ def get(self, key: int) -> Any | None:
             return value
 
     def put(self, key: int, value: Any) -> None:
-        """Put a value into the cache."""
+        """Put a value into the cache.
+
+        Args:
+            key: Integer cache key.
+            value: Value to store.
+        """
         if key in self.cache:
             # If the key exists, move it to the end (most recent)
             self.cache.pop(key)
diff --git a/mellea/helpers/openai_compatible_helpers.py b/mellea/helpers/openai_compatible_helpers.py
index 5afec1232..739677368 100644
--- a/mellea/helpers/openai_compatible_helpers.py
+++ b/mellea/helpers/openai_compatible_helpers.py
@@ -13,7 +13,17 @@
 def extract_model_tool_requests(
     tools: dict[str, AbstractMelleaTool], response: dict[str, Any]
 ) -> dict[str, ModelToolCall] | None:
-    """Extracts tool calls from the dict representation of an OpenAI-like chat response object."""
+    """Extract tool calls from the dict representation of an OpenAI-like chat response object.
+
+    Args:
+        tools: Mapping of tool name to ``AbstractMelleaTool`` for lookup.
+        response: Dict representation of an OpenAI-compatible chat completion message
+            (must contain a ``"message"`` key).
+
+    Returns:
+        Mapping of tool name to ``ModelToolCall`` for each requested tool call, or
+        ``None`` if no tool calls were found.
+    """
     model_tool_calls: dict[str, ModelToolCall] = {}
     calls = response["message"].get("tool_calls", None)
     if calls:
@@ -45,11 +55,19 @@ def extract_model_tool_requests(
 def chat_completion_delta_merge(
     chunks: list[dict], force_all_tool_calls_separate: bool = False
 ) -> dict:
-    """Takes a list of deltas from `ChatCompletionChunk`s and merges them into a single dict representing the `ChatCompletion` choice.
+    """Merge a list of deltas from ``ChatCompletionChunk``s into a single dict representing the ``ChatCompletion`` choice.
 
     Args:
-        chunks: the list of dicts that represent the message deltas
-        force_all_tool_calls_separate: if `True`, tool calls in separate message deltas will not be merged (even if their index values are the same); use when providers do not return the correct index value for tool calls. If using this option, all tool calls must be fully populated in a single delta since they won't be merged.
+        chunks: The list of dicts that represent the message deltas.
+        force_all_tool_calls_separate: If ``True``, tool calls in separate message
+            deltas will not be merged even if their index values are the same. Use
+            when providers do not return the correct index value for tool calls; all
+            tool calls must then be fully populated in a single delta.
+
+    Returns:
+        A single merged dict representing the assembled ``ChatCompletion`` choice,
+        with ``finish_reason``, ``index``, and a ``message`` sub-dict containing
+        ``content``, ``role``, and ``tool_calls``.
     """
     merged: dict[str, Any] = dict()
 
@@ -123,7 +141,16 @@ def chat_completion_delta_merge(
 
 
 def message_to_openai_message(msg: Message):
-    """Serializes a mellea Message object to the message format required by OpenAI compatible api providers."""
+    """Serialise a Mellea ``Message`` to the format required by OpenAI-compatible API providers.
+
+    Args:
+        msg: The ``Message`` object to serialise.
+
+    Returns:
+        A dict with ``"role"`` and ``"content"`` fields. When the message carries
+        images, ``"content"`` is a list of text and image-URL dicts; otherwise it
+        is a plain string.
+    """
     if msg.images is not None:
         img_list = [
             {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{img}"}}
@@ -155,7 +182,15 @@ def message_to_openai_message(msg: Message):
 
 
 def messages_to_docs(msgs: list[Message]) -> list[dict[str, str]]:
-    """Extracts the docs from a list of messages."""
+    """Extract all ``Document`` objects from a list of ``Message`` objects.
+
+    Args:
+        msgs: List of ``Message`` objects whose ``_docs`` attributes are inspected.
+
+    Returns:
+        A list of dicts, each with a ``"text"`` key and optional ``"title"`` and
+        ``"doc_id"`` keys, suitable for passing to an OpenAI-compatible RAG API.
+    """
     docs: list[Document] = []
     for message in msgs:
         if message._docs is not None:
diff --git a/mellea/helpers/server_type.py b/mellea/helpers/server_type.py
index 549a0a046..b3a770935 100644
--- a/mellea/helpers/server_type.py
+++ b/mellea/helpers/server_type.py
@@ -1,4 +1,12 @@
-"""Server Type Helpers."""
+"""Utilities for detecting and classifying the target inference server.
+
+Defines the ``_ServerType`` enum (``LOCALHOST``, ``OPENAI``, ``REMOTE_VLLM``,
+``UNKNOWN``) and ``_server_type``, which classifies a URL by hostname. Also provides
+``is_vllm_server_with_structured_output``, which probes a server's ``/version``
+endpoint to determine whether it supports the ``structured_outputs`` parameter
+introduced in vLLM ≥ 0.12.0. Used by the OpenAI-compatible backend to choose between
+``guided_json`` and ``structured_outputs`` request formats.
+"""
 
 import json
 from collections.abc import Mapping
@@ -45,8 +53,11 @@ def is_vllm_server_with_structured_output(
     v0.12.0 was the last version to support guided_json params. It's now under structured_outputs.
 
     Args:
-        base_url : Base url for LLM API.
-        headers : additional headers to pass to the request.
+        base_url: Base url for LLM API.
+        headers: Additional headers to pass to the request.
+
+    Returns:
+        True if the server is vLLM >= v0.12.0, False otherwise.
     """
     # Not using the models endpoint for now. Assuming version is enough.
     # vllm_provider_endpoint = str(self._client.base_url).join("/models")
diff --git a/mellea/stdlib/__init__.py b/mellea/stdlib/__init__.py
index 35fce96fa..a402d5733 100644
--- a/mellea/stdlib/__init__.py
+++ b/mellea/stdlib/__init__.py
@@ -1 +1,11 @@
-"""The mellea standard library."""
+"""The mellea standard library of components, sessions, and sampling strategies.
+
+This package provides the high-level building blocks for writing generative programs
+with mellea. It contains ready-to-use ``Component`` types (``Instruction``,
+``Message``, ``Document``, ``Intrinsic``, ``SimpleComponent``, and more), context
+implementations (``ChatContext``, ``SimpleContext``), sampling strategies (rejection
+sampling, budget forcing), session management via ``MelleaSession``, and the
+``@mify`` decorator for turning ordinary Python objects into components. Import from
+the sub-packages — ``mellea.stdlib.components``, ``mellea.stdlib.sampling``, and
+``mellea.stdlib.session`` — for day-to-day use.
+"""
diff --git a/mellea/stdlib/components/chat.py b/mellea/stdlib/components/chat.py
index 22c11369d..bea42015d 100644
--- a/mellea/stdlib/components/chat.py
+++ b/mellea/stdlib/components/chat.py
@@ -1,4 +1,12 @@
-"""Chat primitives."""
+"""Chat primitives: the ``Message`` and ``ToolMessage`` components.
+
+Defines ``Message``, the ``Component`` subtype used to represent a single turn in a
+chat history with a ``role`` (``user``, ``assistant``, ``system``, or ``tool``),
+text ``content``, and optional ``images`` and ``documents`` attachments. Also provides
+``ToolMessage`` (a ``Message`` subclass that carries the tool name and arguments) and
+the ``as_chat_history`` utility for converting a ``Context`` into a flat list of
+``Message`` objects.
+"""
 
 from collections.abc import Mapping
 from typing import Any, Literal
@@ -20,6 +28,19 @@ class Message(Component["Message"]):
 
     TODO: we may want to deprecate this Component entirely.
     The fact that some Component gets rendered as a chat message is `Formatter` miscellania.
+
+    Args:
+        role (str): The role that this message came from (e.g., ``"user"``,
+            ``"assistant"``).
+        content (str): The content of the message.
+        images (list[ImageBlock] | None): Optional images associated with the
+            message.
+        documents (list[Document] | None): Optional documents associated with
+            the message.
+
+    Attributes:
+        Role (type): Type alias for the allowed role literals: ``"system"``,
+            ``"user"``, ``"assistant"``, or ``"tool"``.
     """
 
     Role = Literal["system", "user", "assistant", "tool"]
@@ -32,14 +53,7 @@ def __init__(
         images: None | list[ImageBlock] = None,
         documents: None | list[Document] = None,
     ):
-        """Initializer for Chat messages.
-
-        Args:
-            role (str): The role that this message came from (e.g., user, assistant).
-            content (str): The content of the message.
-            images (list[ImageBlock]): The images associated with the message if any.
-            documents (list[Document]): documents associated with the message if any.
-        """
+        """Initialize a Message with a role, text content, and optional images and documents."""
         self.role = role
         self.content = content  # TODO this should be private.
         self._content_cblock = CBlock(self.content)
@@ -54,7 +68,12 @@ def images(self) -> None | list[str]:
         return None
 
     def parts(self) -> list[Component | CBlock]:
-        """Returns all of the constituent parts of an Instruction."""
+        """Return the constituent parts of this message, including content, documents, and images.
+
+        Returns:
+            list[Component | CBlock]: A list beginning with the content block,
+            followed by any attached documents and image blocks.
+        """
         parts: list[Component | CBlock] = [self._content_cblock]
         if self._docs is not None:
             parts.extend(self._docs)
@@ -163,7 +182,21 @@ def _parse(self, computed: ModelOutputThunk) -> "Message":
 
 
 class ToolMessage(Message):
-    """Adds the name field for function name."""
+    """Adds the name field for function name.
+
+    Args:
+        role (str): The role of this message; most backends use ``"tool"``.
+        content (str): The content of the message; should be a stringified
+            version of ``tool_output``.
+        tool_output (Any): The output of the tool or function call.
+        name (str): The name of the tool or function that was called.
+        args (Mapping[str, Any]): The arguments passed to the tool.
+        tool (ModelToolCall): The ``ModelToolCall`` representation.
+
+    Attributes:
+        arguments (Mapping[str, Any]): The arguments that were passed to the
+            tool; stored from the ``args`` constructor parameter.
+    """
 
     def __init__(
         self,
@@ -174,16 +207,7 @@ def __init__(
         args: Mapping[str, Any],
         tool: ModelToolCall,
     ):
-        """Initializer for Chat messages.
-
-        Args:
-            role: the role of this message. Most backends/models use something like tool.
-            content: The content of the message; should be a stringified version of the tool_output.
-            name: The name of the tool/function.
-            args: The args required to call the function.
-            tool_output: the output of the tool/function call.
-            tool: the ModelToolCall representation.
-        """
+        """Initialize a ToolMessage with role, content, tool output, name, args, and tool call."""
         super().__init__(role, content)
         self.name = name
         self.arguments = args
@@ -191,7 +215,12 @@ def __init__(
         self._tool = tool
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """The same representation as Message with a name field added to args."""
+        """Return the same representation as ``Message`` with a ``name`` field added to the args dict.
+
+        Returns:
+            TemplateRepresentation: Template representation including the tool
+            name alongside the standard message fields.
+        """
         message_repr = super().format_for_llm()
         args = message_repr.args
         args["name"] = self.name
@@ -206,7 +235,21 @@ def __repr__(self) -> str:
 
 
 def as_chat_history(ctx: Context) -> list[Message]:
-    """Returns a list of Messages corresponding to a Context."""
+    """Returns a list of Messages corresponding to a Context.
+
+    Args:
+        ctx: A linear ``Context`` whose entries are ``Message`` or ``ModelOutputThunk``
+            objects with ``Message`` parsed representations.
+
+    Returns:
+        List of ``Message`` objects in conversation order.
+
+    Raises:
+        Exception: If the context history is non-linear and cannot be cast to a
+            flat list.
+        AssertionError: If any entry in the context cannot be converted to a
+            ``Message``.
+    """
 
     def _to_msg(c: CBlock | Component | ModelOutputThunk) -> Message | None:
         match c:
diff --git a/mellea/stdlib/components/docs/document.py b/mellea/stdlib/components/docs/document.py
index e998a9fcc..6b151d773 100644
--- a/mellea/stdlib/components/docs/document.py
+++ b/mellea/stdlib/components/docs/document.py
@@ -1,20 +1,42 @@
-"""Document component."""
+"""``Document`` component for grounding model inputs with text passages.
+
+``Document`` wraps a text passage with an optional ``title`` and ``doc_id``, and
+renders them inline as a formatted citation string for the model. Documents are
+typically attached to a ``Message`` via its ``documents`` parameter, enabling
+retrieval-augmented generation (RAG) workflows.
+"""
 
 from ....core import CBlock, Component, ModelOutputThunk
 
 
 # TODO: Add support for passing in docs as model options.
 class Document(Component[str]):
-    """Documents should typically be used in a Message object."""
+    """A text passage with optional metadata for grounding model inputs.
+
+    Documents are typically attached to a ``Message`` via its ``documents``
+    parameter to enable retrieval-augmented generation (RAG) workflows.
+
+    Args:
+        text (str): The text content of the document.
+        title (str | None): An optional human-readable title for the document.
+        doc_id (str | None): An optional unique identifier for the document.
+
+    """
 
     def __init__(self, text: str, title: str | None = None, doc_id: str | None = None):
-        """Create a document object. Should typically be used as a list in the `_docs` field of Message."""
+        """Initialize Document with text content and optional title and ID."""
         self.text = text
         self.title = title
         self.doc_id = doc_id
 
     def parts(self) -> list[Component | CBlock]:
-        """The set of all the constituent parts of the `Component`."""
+        """Returns the constituent parts of this document.
+
+        Returns:
+            list[Component | CBlock]: An empty list by default since the base
+            ``Document`` class has no constituent parts. Subclasses may override
+            this method to return meaningful parts.
+        """
         return []
 
     def format_for_llm(self) -> str:
diff --git a/mellea/stdlib/components/docs/richdocument.py b/mellea/stdlib/components/docs/richdocument.py
index 67bcb01fa..7812112ed 100644
--- a/mellea/stdlib/components/docs/richdocument.py
+++ b/mellea/stdlib/components/docs/richdocument.py
@@ -1,4 +1,12 @@
-"""Representations of Docling Documents."""
+"""``RichDocument``, ``Table``, and related helpers backed by Docling.
+
+``RichDocument`` wraps a ``DoclingDocument`` (e.g. produced by converting a PDF or
+Markdown file) and renders it as Markdown for a language model. ``Table`` represents a
+single table within a Docling document and provides ``transpose``, ``to_markdown``, and
+query/transform helpers. Use ``RichDocument.from_document_file`` to convert a PDF or
+other supported format, and ``get_tables()`` to extract structured table data for
+downstream LLM-driven Q&A or transformation tasks.
+"""
 
 from __future__ import annotations
 
@@ -17,28 +25,40 @@
 
 
 class RichDocument(Component[str]):
-    """A `RichDocument` is a block of content with an underlying DoclingDocument.
+    """A ``RichDocument`` is a block of content backed by a ``DoclingDocument``.
+
+    Provides helper functions for working with the document and extracting parts
+    such as tables. Use ``from_document_file`` to convert PDFs or other formats,
+    and ``save``/``load`` for persistence.
 
-    It has helper functions for working with the document and extracting parts of it.
+    Args:
+        doc (DoclingDocument): The underlying Docling document to wrap.
     """
 
     def __init__(self, doc: DoclingDocument):
-        """A `RichDocument` is a block of content with an underlying DoclingDocument."""
+        """Initialize RichDocument by wrapping the provided DoclingDocument."""
         self._doc = doc
 
     def parts(self) -> list[Component | CBlock]:
-        """RichDocument has no parts.
+        """Return the constituent parts of this document.
 
-        In the future, we should allow chunking of DoclingDocuments to correspond to parts().
+        Currently always returns an empty list. Future versions may support
+        chunking the document into constituent parts.
+
+        Returns:
+            list[Component | CBlock]: Always an empty list.
         """
         # TODO: we could separate a DoclingDocument into chunks and then treat those chunks as parts.
         # for now, do nothing.
         return []
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """Return Document content as Markdown.
+        """Return the document content as a Markdown string.
+
+        No template is needed; the full document is exported to Markdown directly.
 
-        No template needed here.
+        Returns:
+            TemplateRepresentation | str: The full document rendered as Markdown.
         """
         return self.to_markdown()
 
@@ -47,7 +67,11 @@ def _parse(self, computed: ModelOutputThunk) -> str:
         return computed.value if computed.value is not None else ""
 
     def docling(self) -> DoclingDocument:
-        """Get the underlying Docling Document."""
+        """Return the underlying ``DoclingDocument``.
+
+        Returns:
+            DoclingDocument: The wrapped Docling document instance.
+        """
         return self._doc
 
     def to_markdown(self):
@@ -55,18 +79,35 @@ def to_markdown(self):
         return self._doc.export_to_markdown()
 
     def get_tables(self) -> list[Table]:
-        """Return the `Table`s that are a part of this document."""
+        """Return all tables found in this document.
+
+        Returns:
+            list[Table]: A list of ``Table`` objects extracted from the document.
+        """
         return [Table(x, self.docling()) for x in self.docling().tables]
 
     def save(self, filename: str | Path) -> None:
-        """Save the underlying DoclingDocument for reuse later."""
+        """Save the underlying ``DoclingDocument`` to a JSON file for later reuse.
+
+        Args:
+            filename (str | Path): Destination file path for the serialized
+                document.
+        """
         if type(filename) is str:
             filename = Path(filename)
         self._doc.save_as_json(filename)
 
     @classmethod
     def load(cls, filename: str | Path) -> RichDocument:
-        """Load a DoclingDocument from a file. The file must already be a DoclingDocument."""
+        """Load a ``RichDocument`` from a previously saved ``DoclingDocument`` JSON file.
+
+        Args:
+            filename (str | Path): Path to a JSON file previously created by
+                ``RichDocument.save``.
+
+        Returns:
+            RichDocument: A new ``RichDocument`` wrapping the loaded document.
+        """
         if type(filename) is str:
             filename = Path(filename)
         doc_doc = DoclingDocument.load_from_json(filename)
@@ -74,7 +115,15 @@ def load(cls, filename: str | Path) -> RichDocument:
 
     @classmethod
     def from_document_file(cls, source: str | Path | DocumentStream) -> RichDocument:
-        """Process a document with Docling."""
+        """Convert a document file to a ``RichDocument`` using Docling.
+
+        Args:
+            source (str | Path | DocumentStream): Path or stream for the
+                source document (e.g. a PDF or Markdown file).
+
+        Returns:
+            RichDocument: A new ``RichDocument`` wrapping the converted document.
+        """
         pipeline_options = PdfPipelineOptions(
             images_scale=2.0, generate_picture_images=True
         )
@@ -90,24 +139,40 @@ def from_document_file(cls, source: str | Path | DocumentStream) -> RichDocument
 
 
 class TableQuery(Query):
-    """Table-specific query."""
+    """A ``Query`` component specialised for ``Table`` objects.
 
-    def __init__(self, obj: Table, query: str) -> None:
-        """Initializes a new instance of the `TableQuery` class.
+    Formats the table as Markdown alongside the query string so the LLM receives
+    both the structured table content and the natural-language question.
 
-        Args:
-            obj : The table object to which the query applies.
-            query : The query string.
-        """
+    Args:
+        obj (Table): The table to query.
+        query (str): The natural-language question to ask about the table.
+    """
+
+    def __init__(self, obj: Table, query: str) -> None:
+        """Initialize TableQuery for the given table and natural-language query."""
         super().__init__(obj, query)
 
     def parts(self) -> list[Component | CBlock]:
-        """The list of cblocks/components on which TableQuery depends."""
+        """Return the constituent parts of this table query.
+
+        Returns:
+            list[Component | CBlock]: A list containing the wrapped ``Table``
+            object.
+        """
         cs: list[Component | CBlock] = [self._obj]
         return cs
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """Template arguments for Formatter."""
+        """Format this table query for the language model.
+
+        Renders the table as Markdown alongside the query string, and forwards
+        any tools and fields from the table's own representation.
+
+        Returns:
+            TemplateRepresentation: Template args containing the query string
+            and the Markdown-rendered table.
+        """
         assert isinstance(self._obj, Table)
         tbl_repr = self._obj.format_for_llm()
         assert isinstance(tbl_repr, TemplateRepresentation)
@@ -121,24 +186,40 @@ def format_for_llm(self) -> TemplateRepresentation:
 
 
 class TableTransform(Transform):
-    """Table-specific transform."""
+    """A ``Transform`` component specialised for ``Table`` objects.
 
-    def __init__(self, obj: Table, transformation: str) -> None:
-        """Initializes a new instance of the `TableTransform` class.
+    Formats the table as Markdown alongside the transformation instruction so the
+    LLM receives both the structured table content and the mutation description.
 
-        Args:
-            obj : The table object to which the transform applies.
-            transformation : The transformation description string.
-        """
+    Args:
+        obj (Table): The table to transform.
+        transformation (str): Natural-language description of the desired mutation.
+    """
+
+    def __init__(self, obj: Table, transformation: str) -> None:
+        """Initialize TableTransform for the given table and transformation description."""
         super().__init__(obj, transformation)
 
     def parts(self) -> list[Component | CBlock]:
-        """The parts for this component."""
+        """Return the constituent parts of this table transform.
+
+        Returns:
+            list[Component | CBlock]: A list containing the wrapped ``Table``
+            object.
+        """
         cs: list[Component | CBlock] = [self._obj]
         return cs
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """Template arguments for Formatter."""
+        """Format this table transform for the language model.
+
+        Renders the table as Markdown alongside the transformation description,
+        and forwards any tools and fields from the table's own representation.
+
+        Returns:
+            TemplateRepresentation: Template args containing the transformation
+            description and the Markdown-rendered table.
+        """
         assert isinstance(self._obj, Table)
         tbl_repr = self._obj.format_for_llm()
         assert isinstance(tbl_repr, TemplateRepresentation)
@@ -155,17 +236,34 @@ def format_for_llm(self) -> TemplateRepresentation:
 
 
 class Table(MObject):
-    """A `Table` represents a single table within a larger Docling Document."""
+    """A ``Table`` represents a single table within a larger Docling Document.
+
+    Args:
+        ti (TableItem): The Docling ``TableItem`` extracted from the document.
+        doc (DoclingDocument): The parent ``DoclingDocument``. Passing ``None``
+            may cause downstream Docling functions to fail.
+    """
 
     def __init__(self, ti: TableItem, doc: DoclingDocument):
-        """If you pass doc=None, the underlying docling functions to extract data from tables may fail due to lack of context and docling deprecations."""
+        """Initialize Table by wrapping a Docling TableItem and its parent document."""
         super().__init__(query_type=TableQuery, transform_type=TableTransform)
         self._ti = ti
         self._doc = doc
 
     @classmethod
     def from_markdown(cls, md: str) -> Table | None:
-        """Creates a fake document from the markdown and attempts to extract the first table found."""
+        """Create a ``Table`` from a Markdown string by round-tripping through Docling.
+
+        Wraps the Markdown in a minimal document, converts it with Docling, and
+        returns the first table found.
+
+        Args:
+            md (str): A Markdown string containing at least one table.
+
+        Returns:
+            Table | None: The first ``Table`` extracted from the Markdown, or
+            ``None`` if no table could be found.
+        """
         fake_doc = f"# X\n\n{md}\n"
         bs = io.BytesIO(fake_doc.encode("utf-8"))
         doc = RichDocument.from_document_file(DocumentStream(name="x.md", stream=bs))
@@ -175,20 +273,42 @@ def from_markdown(cls, md: str) -> Table | None:
             return None
 
     def parts(self):
-        """The current implementation does not necessarily entail any string re-use, so parts is empty."""
+        """Return the constituent parts of this table component.
+
+        The current implementation always returns an empty list because the
+        table is rendered entirely through ``format_for_llm``.
+
+        Returns:
+            list[Component | CBlock]: Always an empty list.
+        """
         return []
 
     def to_markdown(self) -> str:
-        """Get the `Table` as markdown."""
+        """Export this table as a Markdown string.
+
+        Returns:
+            str: The Markdown representation of this table.
+        """
         return self._ti.export_to_markdown(self._doc)
 
     def transpose(self) -> Table | None:
-        """Transposes the table. Will return a new transposed `Table` if successful."""
+        """Transpose this table and return the result as a new ``Table``.
+
+        Returns:
+            Table | None: A new transposed ``Table``, or ``None`` if the
+            transposed Markdown cannot be parsed back into a ``Table``.
+        """
         t = self._ti.export_to_dataframe().transpose()
         return Table.from_markdown(t.to_markdown())
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """Return Table representation for Formatter."""
+        """Return the table representation for the Formatter.
+
+        Returns:
+            TemplateRepresentation | str: A ``TemplateRepresentation`` that
+            renders the table as its Markdown string using a ``{{table}}``
+            template.
+        """
         return TemplateRepresentation(
             args={"table": self.to_markdown()},
             obj=self,
diff --git a/mellea/stdlib/components/genslot.py b/mellea/stdlib/components/genslot.py
index eff9ae753..4ac82486d 100644
--- a/mellea/stdlib/components/genslot.py
+++ b/mellea/stdlib/components/genslot.py
@@ -32,7 +32,11 @@
 
 
 class FunctionResponse(BaseModel, Generic[R]):
-    """Generic base class for function response formats."""
+    """Generic base class for function response formats.
+
+    Attributes:
+        result (R): The value returned by the generative function.
+    """
 
     result: R = Field(description="The function result")
 
@@ -61,7 +65,13 @@ def create_response_format(func: Callable[..., R]) -> type[FunctionResponse[R]]:
 
 
 class FunctionDict(TypedDict):
-    """Return Type for a Function Component."""
+    """Return Type for a Function Component.
+
+    Attributes:
+        name (str): The function's ``__name__``.
+        signature (str): The function's parameter signature as a string.
+        docstring (str | None): The function's docstring, or ``None`` if absent.
+    """
 
     name: str
     signature: str
@@ -69,7 +79,13 @@ class FunctionDict(TypedDict):
 
 
 class ArgumentDict(TypedDict):
-    """Return Type for a Argument Component."""
+    """Return Type for an Argument Component.
+
+    Attributes:
+        name (str | None): The parameter name.
+        annotation (str | None): The parameter's type annotation as a string.
+        value (str | None): The bound value for this parameter as a string.
+    """
 
     name: str | None
     annotation: str | None
@@ -77,7 +93,13 @@ class ArgumentDict(TypedDict):
 
 
 class Argument:
-    """An Argument."""
+    """A single function argument with its name, type annotation, and value.
+
+    Args:
+        annotation (str | None): The parameter's type annotation as a string.
+        name (str | None): The parameter name.
+        value (str | None): The bound value for this parameter as a string.
+    """
 
     def __init__(
         self,
@@ -85,7 +107,7 @@ def __init__(
         name: str | None = None,
         value: str | None = None,
     ):
-        """An Argument."""
+        """Initialize Argument with optional name, type annotation, and bound value."""
         self._argument_dict: ArgumentDict = {
             "name": name,
             "annotation": annotation,
@@ -94,8 +116,17 @@ def __init__(
 
 
 class Arguments(CBlock):
+    """A ``CBlock`` that renders a list of ``Argument`` objects as human-readable text.
+
+    Each argument is formatted as ``"- name: value  (type: annotation)"`` and the
+    items are newline-joined into a single string suitable for inclusion in a prompt.
+
+    Args:
+        arguments (list[Argument]): The list of bound function arguments to render.
+    """
+
     def __init__(self, arguments: list[Argument]):
-        """Create a textual representation of a list of arguments."""
+        """Initialize Arguments by rendering a list of Argument objects as a formatted string."""
         # Make meta the original list of arguments and create a list of textual representations.
         meta: dict[str, Any] = {}
         text_args = []
@@ -110,10 +141,16 @@ def __init__(self, arguments: list[Argument]):
 
 
 class ArgPreconditionRequirement(Requirement):
-    """Specific requirement with template for validating precondition requirements against a set of args."""
+    """Specific requirement with template for validating precondition requirements against a set of args.
+
+    Args:
+        req (Requirement): The underlying requirement to wrap. All method calls
+            are delegated to this requirement.
+
+    """
 
     def __init__(self, req: Requirement):
-        """Can only be instantiated from existing requirements. All function calls are delegated to the underlying requirement."""
+        """Initialize ArgPreconditionRequirement by wrapping an existing Requirement."""
         self.req = req
 
     def __getattr__(self, name):
@@ -127,26 +164,39 @@ def __deepcopy__(self, memo):
 
 
 class PreconditionException(Exception):
-    """Exception raised when validation fails for a generative slot's arguments."""
+    """Exception raised when validation fails for a generative slot's arguments.
+
+    Args:
+        message (str): Human-readable description of the failure.
+        validation_results (list[ValidationResult]): The individual validation
+            results from the failed precondition checks.
+
+    Attributes:
+        validation (list[ValidationResult]): The validation results from the
+            failed precondition checks.
+    """
 
     def __init__(
         self, message: str, validation_results: list[ValidationResult]
     ) -> None:
-        """Exception raised when validation fails for a generative slot's arguments.
-
-        Args:
-            message: the error message
-            validation_results: the list of validation results from the failed preconditions
-        """
+        """Initialize PreconditionException with a message and the list of failed validation results."""
         super().__init__(message)
         self.validation = validation_results
 
 
 class Function(Generic[P, R]):
-    """A Function."""
+    """Wraps a callable with its introspected ``FunctionDict`` metadata.
+
+    Stores the original callable alongside its name, signature, and docstring
+    as produced by ``describe_function``, so generative slots can render them
+    into prompts without re-inspecting the function each time.
+
+    Args:
+        func (Callable): The callable to wrap and introspect.
+    """
 
     def __init__(self, func: Callable[P, R]):
-        """A Function."""
+        """Initialize Function by wrapping a callable and capturing its metadata."""
         self._func: Callable[P, R] = func
         self._function_dict: FunctionDict = describe_function(func)
 
@@ -205,6 +255,10 @@ def bind_function_arguments(
 
     Returns:
         Dictionary mapping parameter names to bound values with defaults applied.
+
+    Raises:
+        TypeError: If required parameters from the original function are missing
+            from the provided arguments.
     """
     signature = inspect.signature(func)
     try:
@@ -227,6 +281,12 @@ class ExtractedArgs:
     """Used to extract the mellea args and original function args. See @generative decorator for additional notes on these fields.
 
     These args must match those allowed by any overload of GenerativeSlot.__call__.
+
+    Attributes:
+        f_args (tuple[Any, ...]): Positional args from the original function call;
+            used to detect incorrectly passed args to generative slots.
+        f_kwargs (dict[str, Any]): Keyword args intended for the original function.
+        m (MelleaSession | None): The active Mellea session, if provided.
     """
 
     f_args: tuple[Any, ...]
@@ -258,13 +318,26 @@ def __init__(self):
 
 
 class GenerativeSlot(Component[R], Generic[P, R]):
-    """A generative slot component."""
+    """Abstract base class for AI-powered function wrappers produced by ``@generative``.
 
-    def __init__(self, func: Callable[P, R]):
-        """A generative slot function that converts a given `func` to a generative slot.
+    A ``GenerativeSlot`` wraps a callable and uses an LLM to generate its output.
+    Subclasses (``SyncGenerativeSlot``, ``AsyncGenerativeSlot``) implement
+    ``__call__`` for synchronous and asynchronous invocation respectively.
+    The function's signature, docstring, and type hints are rendered into a prompt
+    so the LLM can imitate the function's intended behaviour.
 
-        Args:
-            func: A callable function
+    Args:
+        func (Callable): The function whose behaviour the LLM should imitate.
+
+    Attributes:
+        precondition_requirements (list[Requirement]): Requirements validated
+            against the function's input arguments before generation.
+        requirements (list[Requirement]): Requirements validated against the
+            LLM's generated output.
+    """
+
+    def __init__(self, func: Callable[P, R]):
+        """Initialize GenerativeSlot by wrapping the given callable and validating its parameter names.
 
         Raises:
             ValueError: if the decorated function has a parameter name used by generative slots
@@ -297,14 +370,23 @@ def __call__(self, *args, **kwargs) -> tuple[R, Context] | R:
 
     @staticmethod
     def extract_args_and_kwargs(*args, **kwargs) -> ExtractedArgs:
-        """Takes a mix of args and kwargs for both the generative slot and the original function and extracts them. Ensures the original function's args are all kwargs.
+        """Take a mix of args and kwargs for both the generative slot and the original function and extract them. Ensures the original function's args are all kwargs.
+
+        Args:
+            args: Positional arguments; the first must be either a
+                ``MelleaSession`` or a ``Context`` instance.
+            kwargs: Keyword arguments for both the generative slot machinery
+                (e.g. ``m``, ``context``, ``backend``, ``requirements``) and the
+                wrapped function's own parameters.
 
         Returns:
-            ExtractedArgs: a dataclass of the required args for mellea and the original function.
-            Either session or (backend, context) will be non-None.
+            ExtractedArgs: A dataclass of the required args for mellea and the
+            original function. Either session or (backend, context) will be
+            non-None.
 
         Raises:
-            TypeError: if any of the original function's parameters were passed as positional args
+            TypeError: If any of the original function's parameters were passed
+                as positional args or if required mellea parameters are missing.
         """
 
         def _session_extract_args_and_kwargs(
@@ -386,7 +468,14 @@ def _context_backend_extract_args_and_kwargs(
         return extracted
 
     def parts(self) -> list[Component | CBlock]:
-        """Parts of Genslot."""
+        """Return the constituent parts of this generative slot component.
+
+        Includes the rendered arguments block (if arguments have been bound)
+        and any requirements attached to this slot.
+
+        Returns:
+            list[Component | CBlock]: List of argument blocks and requirements.
+        """
         cs: list = []
         if self._arguments is not None:
             cs.append(self._arguments)
@@ -394,7 +483,16 @@ def parts(self) -> list[Component | CBlock]:
         return cs
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """Formats the instruction for Formatter use."""
+        """Format this generative slot for the language model.
+
+        Builds a ``TemplateRepresentation`` containing the function metadata
+        (name, signature, docstring), the bound arguments, and any requirement
+        descriptions.
+
+        Returns:
+            TemplateRepresentation: The formatted representation ready for the
+            ``Formatter`` to render into a prompt.
+        """
         return TemplateRepresentation(
             obj=self,
             args={
@@ -424,6 +522,13 @@ def _parse(self, computed: ModelOutputThunk) -> R:
 
 
 class SyncGenerativeSlot(GenerativeSlot, Generic[P, R]):
+    """A synchronous generative slot that blocks until the LLM response is ready.
+
+    Returned by ``@generative`` when the decorated function is not a coroutine.
+    ``__call__`` returns the parsed result directly (when a session is passed) or a
+    ``(result, context)`` tuple (when a context and backend are passed).
+    """
+
     @overload
     def __call__(
         self,
diff --git a/mellea/stdlib/components/instruction.py b/mellea/stdlib/components/instruction.py
index 32a8a0dc1..c7fac9cc8 100644
--- a/mellea/stdlib/components/instruction.py
+++ b/mellea/stdlib/components/instruction.py
@@ -1,4 +1,12 @@
-"""Instructions."""
+"""``Instruction`` component for instruct/validate/repair loops.
+
+``Instruction`` is the primary component type used with ``MelleaSession.instruct``. It
+packages a task ``description``, a list of ``Requirement`` constraints, optional
+in-context-learning examples, a grounding context dict, user variables for Jinja2
+template interpolation, and output/input prefix overrides into a single renderable
+unit. The session's sampling strategy evaluates each requirement against the model's
+output and may repair or resample until all requirements pass.
+"""
 
 from __future__ import annotations
 
@@ -19,7 +27,25 @@
 
 
 class Instruction(Component[str]):
-    """The Instruction in an instruct/validate/repair loop."""
+    """The Instruction in an instruct/validate/repair loop.
+
+    Args:
+        description (str | CBlock | None): The task description shown to the model.
+        requirements (list[Requirement | str] | None): Constraints the output must satisfy.
+        icl_examples (list[str | CBlock] | None): In-context-learning examples.
+        grounding_context (dict[str, str | CBlock | Component] | None): Named context
+            passages injected into the prompt.
+        user_variables (dict[str, str] | None): Jinja2 variable substitutions applied
+            to all string parameters.
+        prefix (str | CBlock | None): A prefix prepended before the model's generation.
+        output_prefix (str | CBlock | None): A prefix prepended to the model's output token
+            stream (currently unsupported; must be ``None``).
+        images (list[ImageBlock] | None): Images to include in the prompt.
+
+    Attributes:
+        requirements (list[Requirement]): The resolved list of requirement instances
+            attached to this instruction.
+    """
 
     def __init__(
         self,
@@ -32,18 +58,7 @@ def __init__(
         output_prefix: str | CBlock | None = None,
         images: list[ImageBlock] | None = None,
     ):
-        """Initializes an instruction. All strings will be converted into CBlocks.
-
-        Args:
-            description (str): The description of the instruction.
-            requirements (List[Requirement | str]): A list of requirements that the instruction can be validated against.
-            icl_examples (List[str | CBlock]): A list of in-context-learning examples that the instruction can be validated against.
-            grounding_context (Dict[str, str | CBlock | Component]): A list of grounding contexts that the instruction can use. They can bind as variables using a (key: str, value: str | ContentBlock) tuple.
-            user_variables (Dict[str, str]): A dict of user-defined variables used to fill in Jinja placeholders in other parameters. This requires that all other provided parameters are provided as strings.
-            prefix (Optional[str | CBlock]): A prefix string or ContentBlock to use when generating the instruction.
-            output_prefix (Optional[str | CBlock]): A string or ContentBlock that defines a prefix for the output generation. Usually you do not need this.
-            images (Optional[List[ImageCBlock]]): A list of images to use in the instruction.
-        """
+        """Initialize Instruction, converting all string inputs to CBlocks and applying any Jinja2 variables."""
         requirements = [] if requirements is None else requirements
         icl_examples = [] if icl_examples is None else icl_examples
         grounding_context = dict() if grounding_context is None else grounding_context
@@ -142,7 +157,13 @@ def parts(self):
         return filtered
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """Formats the instruction for Formatter use."""
+        """Format this instruction for the language model.
+
+        Returns:
+            TemplateRepresentation: A template representation containing the
+            description, requirements, in-context examples, grounding context,
+            and optional prefix/repair fields.
+        """
         return TemplateRepresentation(
             obj=self,
             args={
@@ -169,7 +190,16 @@ def format_for_llm(self) -> TemplateRepresentation:
 
     @staticmethod
     def apply_user_dict_from_jinja(user_dict: dict[str, str], s: str) -> str:
-        """Treats s as a jinja string and user_dict as the template values dictionary."""
+        """Render a Jinja2 template string using the provided variable dictionary.
+
+        Args:
+            user_dict (dict[str, str]): Mapping of Jinja2 variable names to their
+                string replacement values.
+            s (str): A string treated as a Jinja2 template to be rendered.
+
+        Returns:
+            str: The rendered string with all Jinja2 placeholders substituted.
+        """
         assert s is not None
         return jinja2.Template(s).render(user_dict)
 
@@ -179,7 +209,16 @@ def requirements(self) -> list[Requirement]:
         return self._requirements
 
     def copy_and_repair(self, repair_string: str) -> Instruction:
-        """Creates a copy of the instruction and adds/overwrites the repair string."""
+        """Create a deep copy of this instruction with the repair string set.
+
+        Args:
+            repair_string (str): The repair feedback string to attach, typically
+                describing which requirements failed and why.
+
+        Returns:
+            Instruction: A new ``Instruction`` identical to this one but with
+            ``_repair_string`` set to ``repair_string``.
+        """
         res = deepcopy(self)
         res._repair_string = repair_string
         return res
diff --git a/mellea/stdlib/components/intrinsic/intrinsic.py b/mellea/stdlib/components/intrinsic/intrinsic.py
index c12fa54fe..497912a91 100644
--- a/mellea/stdlib/components/intrinsic/intrinsic.py
+++ b/mellea/stdlib/components/intrinsic/intrinsic.py
@@ -1,31 +1,41 @@
-"""Module for Intrinsics."""
+"""``Intrinsic`` component for invoking fine-tuned adapter capabilities.
+
+An ``Intrinsic`` component references a named adapter from Mellea's intrinsic catalog
+and transforms a chat completion request — typically by injecting new messages,
+modifying model parameters, or applying structured output constraints. It must be
+paired with a backend that supports adapter loading (e.g. ``LocalHFBackend`` with an
+attached ``IntrinsicAdapter``).
+"""
 
 from ....backends.adapters import AdapterType, fetch_intrinsic_metadata
 from ....core import CBlock, Component, ModelOutputThunk, TemplateRepresentation
 
 
 class Intrinsic(Component[str]):
-    """A component representing an intrinsic."""
+    """A component representing an intrinsic fine-tuned adapter capability.
 
-    def __init__(
-        self, intrinsic_name: str, intrinsic_kwargs: dict | None = None
-    ) -> None:
-        """A component for rewriting messages using intrinsics.
+    Intrinsics transform a chat completion request by injecting messages,
+    modifying model parameters, or applying structured output constraints.
+    Must be paired with a backend that supports adapter loading.
 
-        Intrinsics are special components that transform a chat completion request.
-        These transformations typically take the form of:
-        - parameter changes (typically structured outputs)
-        - adding new messages to the chat
-        - editing existing messages
+    Args:
+        intrinsic_name (str): The user-visible name of the intrinsic; must match
+            a known name in Mellea's intrinsics catalog.
+        intrinsic_kwargs (dict | None): Optional keyword arguments required by
+            the intrinsic at invocation time.
 
-        An intrinsic component should correspond to a loaded adapter.
+    Attributes:
+        metadata: The intrinsic metadata fetched from the catalog.
+        intrinsic_kwargs (dict): Keyword arguments passed to the intrinsic.
+        intrinsic_name (str): User-visible name of this intrinsic (property).
+        adapter_types (tuple[AdapterType, ...]): Available adapter types that
+            implement this intrinsic (property).
+    """
 
-        Args:
-            intrinsic_name: the user-visible name of the intrinsic; must match a known
-                name in Mellea's intrinsics catalog.
-            intrinsic_kwargs: some intrinsics require kwargs when utilizing them;
-                provide them here
-        """
+    def __init__(
+        self, intrinsic_name: str, intrinsic_kwargs: dict | None = None
+    ) -> None:
+        """Initialize Intrinsic by fetching metadata for the named intrinsic from the catalog."""
         self.metadata = fetch_intrinsic_metadata(intrinsic_name)
         if intrinsic_kwargs is None:
             intrinsic_kwargs = {}
@@ -42,19 +52,29 @@ def adapter_types(self) -> tuple[AdapterType, ...]:
         return self.metadata.adapter_types
 
     def parts(self) -> list[Component | CBlock]:
-        """The set of all the constituent parts of the `Intrinsic`.
+        """Return the constituent parts of this intrinsic component.
 
-        Will need to be implemented by subclasses since not all intrinsics are output
-        as text / messages.
+        Will need to be implemented by subclasses since not all intrinsics
+        produce text or message output.
+
+        Returns:
+            list[Component | CBlock]: Always an empty list for the base class.
         """
         return []  # TODO revisit this.
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """`Intrinsic` doesn't implement `format_for_default`.
+        """Not implemented for the base ``Intrinsic`` class.
+
+        ``Intrinsic`` components are intended to be used as the *action* passed
+        directly to the backend, not as a part of the context rendered by the
+        formatter.
 
-        Formats the `Intrinsic` into a `TemplateRepresentation` or string.
+        Returns:
+            TemplateRepresentation | str: Never returns; always raises.
 
-        Returns: a `TemplateRepresentation` or string
+        Raises:
+            NotImplementedError: Always, because ``Intrinsic`` does not
+                implement ``format_for_llm`` by default.
         """
         raise NotImplementedError(
             "`Intrinsic` doesn't implement format_for_llm by default. You should only "
diff --git a/mellea/stdlib/components/intrinsic/rag.py b/mellea/stdlib/components/intrinsic/rag.py
index 5289b8d88..cf14d24b1 100644
--- a/mellea/stdlib/components/intrinsic/rag.py
+++ b/mellea/stdlib/components/intrinsic/rag.py
@@ -89,15 +89,17 @@ def check_answerability(
     Intrinsic function that checks whether the question in the last user turn of a
     chat can be answered by a provided set of RAG documents.
 
-    :param context: Chat context containing the conversation thus far
-    :param question: Question that the user has posed in response to the last turn in
-        ``context``.
-    :param documents: Document snippets retrieved that may or may not answer the
-        indicated question.
-    :param backend: Backend instance that supports adding the LoRA or aLoRA adapters
-        for answerability checks
-
-    :return: Answerability score as a floating-point value from 0 to 1.
+    Args:
+        question: Question that the user has posed in response to the last turn in
+            ``context``.
+        documents: Document snippets retrieved that may or may not answer the
+            indicated question.
+        context: Chat context containing the conversation thus far.
+        backend: Backend instance that supports adding the LoRA or aLoRA adapters
+            for answerability checks.
+
+    Returns:
+        Answerability score as a floating-point value from 0 to 1.
     """
     result_json = _call_intrinsic(
         "answerability",
@@ -115,12 +117,14 @@ def rewrite_question(
     Intrinsic function that rewrites the question in the next user turn into a
     self-contained query that can be passed to the retriever.
 
-    :param context: Chat context containing the conversation thus far
-    :param question: Question that the user has posed in response to the last turn in
-        ``context``.
-    :param backend: Backend instance that supports adding the LoRA or aLoRA adapters
+    Args:
+        question: Question that the user has posed in response to the last turn in
+            ``context``.
+        context: Chat context containing the conversation thus far.
+        backend: Backend instance that supports adding the LoRA or aLoRA adapters.
 
-    :return: Rewritten version of ``question``.
+    Returns:
+        Rewritten version of ``question``.
     """
     result_json = _call_intrinsic(
         "query_rewrite", context.add(Message("user", question)), backend
@@ -140,14 +144,16 @@ def clarify_query(
     based on the retrieved documents and conversation context, and generates an
     appropriate clarification question if needed.
 
-    :param context: Chat context containing the conversation thus far
-    :param question: Question that the user has posed
-    :param documents: Document snippets retrieved for the question
-    :param backend: Backend instance that supports the adapters that implement
-        this intrinsic
+    Args:
+        question: Question that the user has posed.
+        documents: Document snippets retrieved for the question.
+        context: Chat context containing the conversation thus far.
+        backend: Backend instance that supports the adapters that implement
+            this intrinsic.
 
-    :return: Clarification question string (e.g., "Do you mean A or B?"), or
-        the string "CLEAR" if no clarification is needed
+    Returns:
+        Clarification question string (e.g., "Do you mean A or B?"), or
+        the string "CLEAR" if no clarification is needed.
     """
     result_json = _call_intrinsic(
         "query_clarification",
@@ -168,23 +174,21 @@ def find_citations(
     Intrinsic function that finds sentences in RAG documents that support sentences
     in a potential assistant response to a user question.
 
-    :param context: Context of the dialog between user and assistant at the point where
-        the user has just asked a question that will be answered with RAG documents
-    :param response: Potential assistant response
-    :param documents: Documents at were used to generate ``response``. These documents
-        should set the ``doc_id`` field; otherwise the intrinsic will be unable to
-        specify which document was the source of a given citation.
-    :param backend: Backend that supports one of the adapters that implements this
-        intrinsic.
-    :return: List of records with the following fields:
-        * ``response_begin``
-        * ``response_end``
-        * ``response_text``
-        * ``citation_doc_id``
-        * ``citation_begin``
-        * ``citation_end``
-        * ``citation_text``
-    Begin and end offsets are character offsets into their respective UTF-8 strings.
+    Args:
+        response: Potential assistant response.
+        documents: Documents that were used to generate ``response``. These documents
+            should set the ``doc_id`` field; otherwise the intrinsic will be unable to
+            specify which document was the source of a given citation.
+        context: Context of the dialog between user and assistant at the point where
+            the user has just asked a question that will be answered with RAG documents.
+        backend: Backend that supports one of the adapters that implements this
+            intrinsic.
+
+    Returns:
+        List of records with the following fields: ``response_begin``,
+        ``response_end``, ``response_text``, ``citation_doc_id``, ``citation_begin``,
+        ``citation_end``, ``citation_text``. Begin and end offsets are character
+        offsets into their respective UTF-8 strings.
     """
     result_json = _call_intrinsic(
         "citations",
@@ -203,13 +207,15 @@ def check_context_relevance(
     the answer to a user's question. Does not consider the context in which the
     question was asked.
 
-    :param context: The chat up to the point where the user asked a question.
-    :param question: Question that the user has posed.
-    :param document: A retrieved document snippet
-    :param backend: Backend instance that supports the adapters that implement this
-        intrinsic
+    Args:
+        question: Question that the user has posed.
+        document: A retrieved document snippet.
+        context: The chat up to the point where the user asked a question.
+        backend: Backend instance that supports the adapters that implement this
+            intrinsic.
 
-    :return: Context relevance score as a floating-point value from 0 to 1.
+    Returns:
+        Context relevance score as a floating-point value from 0 to 1.
     """
     result_json = _call_intrinsic(
         "context_relevance",
@@ -233,19 +239,18 @@ def flag_hallucinated_content(
     user question are faithful to the retrieved document snippets. Sentences that do not
     align with the retrieved snippets are flagged as potential hallucinations.
 
-    :param context: A chat log that ends with a user asking a question
-    :param response: The assistant's response to the user's question in the last turn
-        of ``context``
-    :param documents: Document snippets that were used to generate ``response``
-    :param backend: Backend instance that supports the adapters that implement this
-        intrinsic
-
-    :return: List of records with the following fields:
-        * response_begin
-        * response_end
-        * response_text
-        * faithfulness_likelihood
-        * explanation
+    Args:
+        response: The assistant's response to the user's question in the last turn
+            of ``context``.
+        documents: Document snippets that were used to generate ``response``.
+        context: A chat log that ends with a user asking a question.
+        backend: Backend instance that supports the adapters that implement this
+            intrinsic.
+
+    Returns:
+        List of records with the following fields: ``response_begin``,
+        ``response_end``, ``response_text``, ``faithfulness_likelihood``,
+        ``explanation``.
     """
     result_json = _call_intrinsic(
         "hallucination_detection",
@@ -265,18 +270,19 @@ def rewrite_answer_for_relevance(
 ) -> str:
     """Rewrite an assistant answer to improve relevance to the user's question.
 
-    :param context: A chat log that ends with a user asking a question
-    :param response: The assistant's response to the user's question in the last turn
-        of ``context``
-    :param documents: Document snippets that were used to generate ``response``
-    :param backend: Backend instance that supports the adapters that implement this
-        intrinsic
-    :param rewrite_threshold: Number between 0.0 and 1.0 that determines how eagerly
-        to skip rewriting the assistant's answer for relevance. 0.0 means never rewrite
-        and 1.0 means always rewrite.
-
-    :returns: Either the original response, or a rewritten version of the original
-        response.
+    Args:
+        response: The assistant's response to the user's question in the last turn
+            of ``context``.
+        documents: Document snippets that were used to generate ``response``.
+        context: A chat log that ends with a user asking a question.
+        backend: Backend instance that supports the adapters that implement this
+            intrinsic.
+        rewrite_threshold: Number between 0.0 and 1.0 that determines how eagerly
+            to skip rewriting the assistant's answer for relevance. 0.0 means never
+            rewrite and 1.0 means always rewrite.
+
+    Returns:
+        Either the original response, or a rewritten version of the original response.
     """
     # First run the classifier to determine the likelihood of a relevant answer
     # Output will have three fields:
diff --git a/mellea/stdlib/components/mify.py b/mellea/stdlib/components/mify.py
index 2ef6baa31..a4b900269 100644
--- a/mellea/stdlib/components/mify.py
+++ b/mellea/stdlib/components/mify.py
@@ -1,4 +1,13 @@
-"""Mify classes and objects."""
+"""The ``@mify`` decorator for turning Python objects into ``Component``s.
+
+``mify`` wraps an existing Python class or instance with the ``MifiedProtocol``
+interface, exposing its fields as named spans and its documented methods as
+``MelleaTool`` instances callable by the LLM. The resulting ``MifiedProtocol`` object
+can be queried, transformed, and formatted for a language model without any manual
+``Component`` subclassing. Use ``mify`` when you have an existing domain object
+(dataclass, Pydantic model, or plain class) that you want to expose directly to an
+LLM-driven pipeline.
+"""
 
 import inspect
 import types
@@ -35,40 +44,56 @@ class MifiedProtocol(MObjectProtocol, Protocol):
     _stringify_func: Callable[[object], str] | None = None
 
     def parts(self) -> list[Component | CBlock]:
-        """TODO: we need to rewrite this component to use format_for_llm and initializer correctly.
+        """Return the constituent sub-components of this mified object.
+
+        TODO: we need to rewrite this component to use format_for_llm and initializer correctly.
 
         For now an empty list is the correct behavior.
 
         [no-index]
+
+        Returns:
+            list[Component | CBlock]: Always an empty list for mified objects.
         """
         return []
 
     def get_query_object(self, query: str) -> Query:
-        """Returns the instantiated query object.
+        """Return the instantiated query object for this mified object.
 
         [no-index]
 
         Args:
-            query : The query string.
+            query (str): The natural-language query string.
+
+        Returns:
+            Query: A ``Query`` component wrapping this object and the given query.
         """
         return self._query_type(self, query)
 
     def get_transform_object(self, transformation: str) -> Transform:
-        """Returns the instantiated transform object.
+        """Return the instantiated transform object for this mified object.
 
         [no-index]
 
         Args:
-            transformation: the transform string
+            transformation (str): The natural-language transformation description.
+
+        Returns:
+            Transform: A ``Transform`` component wrapping this object and the
+            given transformation description.
         """
         return self._transform_type(self, transformation)
 
     def content_as_string(self) -> str:
-        """Returns the content of the Mified object as a string.
+        """Return the content of the mified object as a plain string.
 
         [no-index]
 
-        Will use the passed in stringify function if provided.
+        Delegates to the ``stringify_func`` passed to ``mify`` when one was
+        provided; otherwise falls back to ``str(self)``.
+
+        Returns:
+            str: String representation of the mified object's content.
         """
         if self._stringify_func:
             return self._stringify_func()  # type: ignore
@@ -168,14 +193,18 @@ def _get_all_fields(self) -> dict[str, Any]:
         return narrowed
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """The representation of an object given to the backend.
+        """Return the ``TemplateRepresentation`` for this mified object.
 
         [no-index]
 
-        Sets the TemplateRepresentation fields based on the object and the values
-        specified during mify.
+        Sets the ``TemplateRepresentation`` fields based on the object and the
+        configuration values supplied to ``mify`` (fields, templates, tools, etc.).
+
+        See the ``mify`` decorator for more details.
 
-        See mify decorator for more details.
+        Returns:
+            TemplateRepresentation: The formatted representation including args,
+            tools, and template ordering.
         """
         args = {"content": self.content_as_string()}
 
@@ -210,9 +239,22 @@ def _parse(self, computed: ModelOutputThunk) -> str:
         return computed.value if computed.value is not None else ""
 
     def parse(self, computed: ModelOutputThunk) -> str:
-        """Parse the model output. Returns string value for now.
+        """Parse the model output into a string value.
 
         [no-index]
+
+        Delegates to ``_parse`` and wraps any exception in a
+        ``ComponentParseError`` to give callers a consistent error type.
+
+        Args:
+            computed (ModelOutputThunk): The raw model output to parse.
+
+        Returns:
+            str: The string value extracted from ``computed``.
+
+        Raises:
+            ComponentParseError: If ``_parse`` raises any exception during
+                parsing.
         """
         try:
             return self._parse(computed)
@@ -273,17 +315,25 @@ def mify(*args, **kwargs):  # noqa: D417
     the attributes and methods of the object/class necessary for it to be mified.
 
     Args:
-        obj: either a class or an instance of the class
-        fields_include: fields of the object to include in its representation to models
-        fields_exclude: fields of the object to exclude from its representation to models
-        funcs_include: functions of the object to include in its representation to models
-        funcs_exclude: functions of the object to exclude from its representation to models
-        query_type: a specific query component type to use when querying a model
-        transform_type: a specific transform component type to use when transforming with a model
-        template: a string representation of a jinja template; takes precedence over template_order
-        template_order: a template ordering to use when searching for applicable templates
-        parsing_func: not yet implemented
-        stringify_func: used to create a string representation of the object
+        obj: A class or an instance of a class to mify. Omit when using as a
+            decorator with arguments (e.g. ``@mify(fields_include={...})``).
+        query_type: A specific query component type to use when querying a model.
+            Defaults to ``Query``.
+        transform_type: A specific transform component type to use when
+            transforming with a model. Defaults to ``Transform``.
+        fields_include: Fields of the object to include in its representation to
+            models. When set, ``stringify_func`` is not used.
+        fields_exclude: Fields of the object to exclude from its representation
+            to models.
+        funcs_include: Functions of the object to expose as tools to models.
+        funcs_exclude: Functions of the object to hide from models.
+        template: A Jinja2 template string. Takes precedence over
+            ``template_order`` when provided.
+        template_order: A template name or list of names used when searching for
+            applicable templates.
+        parsing_func: Not yet implemented.
+        stringify_func: A callable used to create a string representation of the
+            object for ``content_as_string``.
 
     Returns:
         An object if an object was passed in or a decorator (callable) to mify classes.
diff --git a/mellea/stdlib/components/mobject.py b/mellea/stdlib/components/mobject.py
index b5dc25f87..38719b213 100644
--- a/mellea/stdlib/components/mobject.py
+++ b/mellea/stdlib/components/mobject.py
@@ -1,4 +1,12 @@
-"""MObject."""
+"""``MObject``, ``Query``, ``Transform``, and ``MObjectProtocol`` for query/transform workflows.
+
+Defines the ``MObjectProtocol`` protocol for objects that can be queried and
+transformed by an LLM, and the concrete ``MObject`` base class that implements it.
+Also provides the ``Query`` and ``Transform`` ``Component`` subtypes, which wrap an
+object with a natural-language question or mutation instruction respectively. These
+primitives underpin ``@mify`` and can be composed directly to build document Q&A
+or structured extraction pipelines.
+"""
 
 from __future__ import annotations
 
@@ -11,24 +19,38 @@
 
 
 class Query(Component[str]):
-    """A Query component."""
+    """A ``Component`` that pairs an ``MObject`` with a natural-language question.
 
-    def __init__(self, obj: Component, query: str) -> None:
-        """Initializes a new instance of Query with the provided object and query.
+    Wraps the object and its query string into a ``TemplateRepresentation`` so the
+    formatter can render both together in a prompt, optionally forwarding the
+    object's tools and fields to the template.
 
-        Args:
-            obj : The object to be queried.
-            query:  The query string used for querying the object.
-        """
+    Args:
+        obj (Component): The object to be queried.
+        query (str): The natural-language question to ask about the object.
+    """
+
+    def __init__(self, obj: Component, query: str) -> None:
+        """Initialize Query with the object to query and a natural-language question string."""
         self._obj = obj
         self._query = query
 
     def parts(self) -> list[Component | CBlock]:
-        """Get the parts of the query."""
+        """Return the constituent parts of this query component.
+
+        Returns:
+            list[Component | CBlock]: A list containing the wrapped object.
+        """
         return [self._obj]
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """Format the query for llm."""
+        """Format this query for the language model.
+
+        Returns:
+            TemplateRepresentation | str: A ``TemplateRepresentation`` containing
+            the query string, the wrapped object, and any tools or fields from the
+            object's own representation.
+        """
         object_repr = self._obj.format_for_llm()
         return TemplateRepresentation(
             args={
@@ -55,24 +77,38 @@ def _parse(self, computed: ModelOutputThunk) -> str:
 
 
 class Transform(Component[str]):
-    """A Transform component."""
+    """A ``Component`` that pairs an ``MObject`` with a natural-language mutation instruction.
 
-    def __init__(self, obj: Component, transformation: str) -> None:
-        """Initializes a new instance of Transform with the provided object and transformation description.
+    Wraps the object and its transformation description into a
+    ``TemplateRepresentation`` so the formatter can render both together in a prompt,
+    optionally forwarding the object's tools and fields to the template.
 
-        Args:
-            obj : The object to be queried.
-            transformation:  The string used for transforming the object.
-        """
+    Args:
+        obj (Component): The object to be transformed.
+        transformation (str): The natural-language description of the transformation.
+    """
+
+    def __init__(self, obj: Component, transformation: str) -> None:
+        """Initialize Transform with the object to transform and a natural-language description."""
         self._obj = obj
         self._transformation = transformation
 
     def parts(self) -> list[Component | CBlock]:
-        """Get the parts of the transform."""
+        """Return the constituent parts of this transform component.
+
+        Returns:
+            list[Component | CBlock]: A list containing the wrapped object.
+        """
         return [self._obj]
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """Format the transform for llm."""
+        """Format this transform for the language model.
+
+        Returns:
+            TemplateRepresentation | str: A ``TemplateRepresentation`` containing
+            the transformation description, the wrapped object, and any tools or
+            fields from the object's own representation.
+        """
         object_repr = self._obj.format_for_llm()
         return TemplateRepresentation(
             args={
@@ -103,46 +139,65 @@ class MObjectProtocol(Protocol):
     """Protocol to describe the necessary functionality of a MObject. Implementers should prefer inheriting from MObject than MObjectProtocol."""
 
     def parts(self) -> list[Component | CBlock]:
-        """Returns a list of parts for MObject."""
+        """Return a list of parts for this MObject.
+
+        Returns:
+            list[Component | CBlock]: The constituent sub-components.
+        """
         ...
 
     def get_query_object(self, query: str) -> Query:
-        """Returns the instantiated query object.
+        """Return the instantiated query object.
 
         Args:
-            query : The query string.
+            query (str): The query string.
+
+        Returns:
+            Query: A ``Query`` component wrapping this object and the given
+            query string.
         """
         ...
 
     def get_transform_object(self, transformation: str) -> Transform:
-        """Returns the instantiated transform object.
+        """Return the instantiated transform object.
 
         Args:
-            transformation: the transform string
+            transformation (str): The transformation description string.
+
+        Returns:
+            Transform: A ``Transform`` component wrapping this object and the
+            given transformation description.
         """
         ...
 
     def content_as_string(self) -> str:
-        """Returns the content of MObject as a string.
+        """Return the content of this MObject as a plain string.
 
-        The default value is just `str(self)`.
+        The default value is just ``str(self)``.
         Subclasses should override this method.
+
+        Returns:
+            str: String representation of this object's content.
         """
         ...
 
     def _get_all_members(self) -> dict[str, Callable]:
-        """Returns a list of all methods from the MObject except methods of the super class.
+        """Return all methods from this MObject that are not inherited from the superclass.
 
-        Undocumented and methods with [no-index] in doc string are ignored.
+        Undocumented methods and methods with ``[no-index]`` in their docstring
+        are ignored.
         """
         ...
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """The template representation used by the formatter.
+        """Return the template representation used by the formatter.
+
+        The default ``TemplateRepresentation`` uses automatic parsing for tools
+        and fields. Content is retrieved from ``content_as_string()``.
 
-        The default `TemplateRepresentation` uses an automatic
-        parsing for tools and fields. The content is retrieved
-        from `content_as_string()`.
+        Returns:
+            TemplateRepresentation | str: The formatted representation for the
+            language model.
         """
         ...
 
@@ -152,52 +207,70 @@ def _parse(self, computed: ModelOutputThunk) -> str:
 
 
 class MObject(Component[str]):
-    """An extension of `Component` for adding query and transform operations."""
+    """An extension of ``Component`` for adding query and transform operations.
+
+    Args:
+        query_type (type): The ``Query`` subclass to use when constructing query
+            components. Defaults to ``Query``.
+        transform_type (type): The ``Transform`` subclass to use when constructing
+            transform components. Defaults to ``Transform``.
+    """
 
     def __init__(
         self, *, query_type: type = Query, transform_type: type = Transform
     ) -> None:
-        """Initializes a new instance of MObject with a specified query type and transformation type.
-
-        Args:
-            query_type : The type of query to be used, defaults to Query if not provided.
-            transform_type : The type of transform to be used, defaults to Transform if not provided.
-        """
+        """Initialize MObject with a query type and transform type for building query/transform components."""
         self._query_type = query_type
         self._transform_type = transform_type
 
     def parts(self) -> list[Component | CBlock]:
-        """MObject has no parts because of how format_for_llm is defined."""
+        """MObject has no parts because of how format_for_llm is defined.
+
+        Returns:
+            list[Component | CBlock]: Always an empty list.
+        """
         return []
 
     def get_query_object(self, query: str) -> Query:
-        """Returns the instantiated query object.
+        """Return the instantiated query object.
 
         Args:
-            query : The query string.
+            query (str): The query string.
+
+        Returns:
+            Query: A ``Query`` component wrapping this object and the given
+            query string.
         """
         return self._query_type(self, query)
 
     def get_transform_object(self, transformation: str) -> Transform:
-        """Returns the instantiated transform object.
+        """Return the instantiated transform object.
 
         Args:
-            transformation: the transform string
+            transformation (str): The transformation description string.
+
+        Returns:
+            Transform: A ``Transform`` component wrapping this object and the
+            given transformation description.
         """
         return self._transform_type(self, transformation)
 
     def content_as_string(self) -> str:
-        """Returns the content of MObject as a string.
+        """Return the content of this MObject as a plain string.
 
-        The default value is just `str(self)`.
+        The default value is just ``str(self)``.
         Subclasses should override this method.
+
+        Returns:
+            str: String representation of this object's content.
         """
         return str(self)
 
     def _get_all_members(self) -> dict[str, Callable]:
-        """Returns a list of all methods from the MObject except methods of the super class.
+        """Return all methods from this MObject except methods of the superclass.
 
-        Undocumented and methods with [no-index] in doc string are ignored.
+        Undocumented methods and methods with ``[no-index]`` in their docstring
+        are ignored.
         """
         all_members: dict[str, Callable] = dict(
             inspect.getmembers(self, predicate=inspect.ismethod)
@@ -218,11 +291,14 @@ def _get_all_members(self) -> dict[str, Callable]:
         return unique_members
 
     def format_for_llm(self) -> TemplateRepresentation | str:
-        """The template representation used by the formatter.
+        """Return the template representation used by the formatter.
+
+        The default ``TemplateRepresentation`` uses automatic parsing for tools
+        and fields. Content is retrieved from ``content_as_string()``.
 
-        The default `TemplateRepresentation` uses an automatic
-        parsing for tools and fields. The content is retrieved
-        from `content_as_string()`.
+        Returns:
+            TemplateRepresentation | str: The formatted representation for the
+            language model.
         """
         tools = {
             k: MelleaTool.from_callable(c) for k, c in self._get_all_members().items()
diff --git a/mellea/stdlib/components/react.py b/mellea/stdlib/components/react.py
index 55af32a9a..bee9eaf4a 100644
--- a/mellea/stdlib/components/react.py
+++ b/mellea/stdlib/components/react.py
@@ -1,4 +1,12 @@
-"""Components used for ReACT."""
+"""Components that implement the ReACT (Reason + Act) agentic pattern.
+
+Provides ``ReactInitiator``, which primes the model with a goal and a tool list, and
+``ReactThought``, which signals a thinking step. Also exports the
+``MELLEA_FINALIZER_TOOL`` sentinel string used to signal loop termination. These
+components are consumed by ``mellea.stdlib.frameworks.react``, which orchestrates the
+reasoning-acting cycle until the model invokes ``final_answer`` or the step budget
+is exhausted.
+"""
 
 import inspect
 from typing import Generic
@@ -25,21 +33,29 @@ def _mellea_finalize_tool(answer: str) -> str:
 
 
 class ReactInitiator(Component[str]):
-    """`ReactInitiator` is used at the start of the ReACT loop to prime the model."""
+    """`ReactInitiator` is used at the start of the ReACT loop to prime the model.
 
-    def __init__(self, goal: str, tools: list[AbstractMelleaTool] | None):
-        """`ReactInitiator` is used at the start of the ReACT loop to prime the model.
+    Args:
+        goal (str): The objective of the react loop.
+        tools (list[AbstractMelleaTool] | None): Tools available to the agent.
+            ``None`` is treated as an empty list.
 
-        Args:
-            goal: the objective of the react loop
-            tools: a list of tools that are available to the react agent
-            format: the format/schema of the expected answer
-        """
+    Attributes:
+        goal (CBlock): The objective of the react loop wrapped as a content block.
+        tools (list[AbstractMelleaTool]): The tools made available to the react agent.
+    """
+
+    def __init__(self, goal: str, tools: list[AbstractMelleaTool] | None):
+        """Initialize ReactInitiator with a goal string and optional list of available tools."""
         self.goal = CBlock(goal)
         self.tools = tools or []
 
     def parts(self) -> list[Component | CBlock]:
-        """The set of all the constituent parts of the `Component`."""
+        """Return the constituent parts of this component.
+
+        Returns:
+            list[Component | CBlock]: A list containing the goal content block.
+        """
         return [self.goal]
 
     def format_for_llm(self) -> TemplateRepresentation:
@@ -81,7 +97,13 @@ def __init__(self):
         """ReactThought signals that a thinking step should be done."""
 
     def parts(self) -> list[Component | CBlock]:
-        """Component has no parts."""
+        """Return the constituent parts of this component.
+
+        ``ReactThought`` has no sub-components; it solely triggers a thinking step.
+
+        Returns:
+            list[Component | CBlock]: Always an empty list.
+        """
         return []
 
     def _parse(self, computed: ModelOutputThunk) -> str:
diff --git a/mellea/stdlib/components/simple.py b/mellea/stdlib/components/simple.py
index 495c9eb32..522034075 100644
--- a/mellea/stdlib/components/simple.py
+++ b/mellea/stdlib/components/simple.py
@@ -1,4 +1,10 @@
-"""SimpleComponent."""
+"""``SimpleComponent``: a lightweight named-span component.
+
+``SimpleComponent`` accepts arbitrary keyword arguments (strings, ``CBlock``s, or
+``Component``s) and renders them as a JSON object keyed by the argument names. It is
+the go-to component type for ad-hoc prompts that do not require a dedicated
+``Component`` subclass or a Jinja2 template.
+"""
 
 from typing import Any
 
@@ -31,14 +37,34 @@ def _kwargs_type_check(self, kwargs: dict[str, Any]) -> bool:
 
     @staticmethod
     def make_simple_string(kwargs: dict[str, Any]) -> str:
-        """Uses <|key|>value</|key|> to represent a simple component."""
+        """Render keyword arguments as ``<|key|>value</|key|>`` tagged strings.
+
+        Args:
+            kwargs (dict[str, Any]): Mapping of span names to their ``CBlock`` or
+                ``Component`` values.
+
+        Returns:
+            str: Newline-joined tagged representation of all keyword arguments.
+        """
         return "\n".join(
             [f"<|{key}|>{value}</|{key}|>" for (key, value) in kwargs.items()]
         )
 
     @staticmethod
     def make_json_string(kwargs: dict[str, Any]) -> str:
-        """Uses json."""
+        """Serialize keyword arguments to a JSON string.
+
+        Each value is converted to its string representation: ``CBlock`` and
+        ``ModelOutputThunk`` values use their ``.value`` attribute, while
+        ``Component`` values use ``format_for_llm()``.
+
+        Args:
+            kwargs (dict[str, Any]): Mapping of span names to ``CBlock``, ``Component``,
+                or ``ModelOutputThunk`` values.
+
+        Returns:
+            str: JSON-encoded representation of the keyword arguments.
+        """
         str_args = dict()
         for key in kwargs.keys():
             match kwargs[key]:
@@ -51,7 +77,13 @@ def make_json_string(kwargs: dict[str, Any]) -> str:
         return json.dumps(str_args)
 
     def format_for_llm(self) -> str:
-        """Uses a string rep."""
+        """Format this component as a JSON string representation for the language model.
+
+        Delegates to ``make_json_string`` using the stored keyword arguments.
+
+        Returns:
+            str: JSON-encoded string of all named spans in this component.
+        """
         return SimpleComponent.make_json_string(self._kwargs)
 
     def _parse(self, computed: ModelOutputThunk) -> str:
diff --git a/mellea/stdlib/components/unit_test_eval.py b/mellea/stdlib/components/unit_test_eval.py
index 20e7f9250..d2e9a9cf7 100644
--- a/mellea/stdlib/components/unit_test_eval.py
+++ b/mellea/stdlib/components/unit_test_eval.py
@@ -10,14 +10,26 @@
 
 
 class Message(BaseModel):
-    """Schema for a message in the test data."""
+    """Schema for a message in the test data.
+
+    Attributes:
+        role (str): The role of the message sender (e.g. ``"user"`` or
+            ``"assistant"``).
+        content (str): The text content of the message.
+    """
 
     role: str
     content: str
 
 
 class Example(BaseModel):
-    """Schema for an example in the test data."""
+    """Schema for an example in the test data.
+
+    Attributes:
+        input (list[Message]): The input messages for this example.
+        targets (list[Message]): The expected target messages for scoring.
+        input_id (str): An optional identifier for this input example.
+    """
 
     input: list[Message]
     targets: list[Message] = Field(default_factory=list)
@@ -25,7 +37,15 @@ class Example(BaseModel):
 
 
 class TestData(BaseModel):
-    """Schema for test data loaded from json."""
+    """Schema for test data loaded from json.
+
+    Attributes:
+        source (str): Origin identifier for this test dataset.
+        name (str): Human-readable name for this test dataset.
+        instructions (str): Evaluation guidelines used by the judge model.
+        examples (list[Example]): The individual input/target example pairs.
+        id (str): Unique identifier for this test dataset.
+    """
 
     source: str
     name: str
@@ -36,14 +56,37 @@ class TestData(BaseModel):
     @field_validator("examples")
     @classmethod
     def validate_examples(cls, v: list[Example]) -> list[Example]:
-        """Ensure examples list is not empty."""
+        """Validate that the examples list is not empty.
+
+        Args:
+            v (list[Example]): The value of the ``examples`` field being
+                validated.
+
+        Returns:
+            list[Example]: The validated examples list, unchanged.
+
+        Raises:
+            ValueError: If the examples list is empty.
+        """
         if not v:
             raise ValueError("examples list cannot be empty")
         return v
 
 
 class TestBasedEval(Component[str]):
-    """Each TestBasedEval represents a single unit test."""
+    """Each TestBasedEval represents a single unit test.
+
+    Args:
+        source (str): Origin identifier for this test dataset.
+        name (str): Human-readable name for this test.
+        instructions (str): Evaluation guidelines used by the judge model.
+        inputs (list[str]): The input texts for each example.
+        targets (list[list[str]] | None): Expected target strings for each
+            input. ``None`` is treated as an empty list.
+        test_id (str | None): Optional unique identifier for this test.
+        input_ids (list[str] | None): Optional identifiers for each input.
+
+    """
 
     def __init__(
         self,
@@ -55,7 +98,7 @@ def __init__(
         test_id: str | None = None,
         input_ids: list[str] | None = None,
     ):
-        """Initialize TestBasedEval (for a single unit test)."""
+        """Initialize TestBasedEval with source, name, instructions, inputs, and optional targets."""
         self.source = source
         self.name = name
         self.instructions = instructions
@@ -65,11 +108,23 @@ def __init__(
         self.input_ids = input_ids or []
 
     def parts(self) -> list[Component | CBlock]:
-        """The set of constituent parts of the Component."""
+        """Return the constituent parts of this component.
+
+        Returns:
+            list[Component | CBlock]: Always an empty list; the component
+            renders entirely via ``format_for_llm``.
+        """
         return []
 
     def format_for_llm(self) -> TemplateRepresentation:
-        """Formats the test for judge evaluation."""
+        """Format this test for judge evaluation.
+
+        Returns:
+            TemplateRepresentation: A template representation containing the
+            judge context (input, prediction, target, guidelines) set by
+            ``set_judge_context``, or an empty args dict if no context has
+            been set yet.
+        """
         return TemplateRepresentation(
             obj=self,
             args=self._judge_context if hasattr(self, "_judge_context") else {},
@@ -83,7 +138,14 @@ def _parse(self, computed: ModelOutputThunk) -> str:
     def set_judge_context(
         self, input_text: str, prediction: str, targets_for_input: list[str]
     ) -> None:
-        """Set context for judge evaluation."""
+        """Set the context dictionary used when formatting this test for judge evaluation.
+
+        Args:
+            input_text (str): The original input text shown to the model.
+            prediction (str): The model's generated output to evaluate.
+            targets_for_input (list[str]): Reference target strings for this
+                input. An empty list results in ``"N/A"`` as the target text.
+        """
         if len(targets_for_input) == 0:  # no reference
             target_text = "N/A"
         elif len(targets_for_input) == 1:
@@ -102,7 +164,20 @@ def set_judge_context(
 
     @classmethod
     def from_json_file(cls, filepath: str) -> list["TestBasedEval"]:
-        """Load test evaluations from json/jsonl file, return list of TestBasedEval instances, one per 'unit test'."""
+        """Load test evaluations from a JSON file, returning one ``TestBasedEval`` per unit test.
+
+        Args:
+            filepath (str): Path to a JSON file containing one test-data object
+                or a JSON array of test-data objects.
+
+        Returns:
+            list[TestBasedEval]: A list of ``TestBasedEval`` instances, one for
+            each object found in the file.
+
+        Raises:
+            ValueError: If any test-data object in the file does not conform to
+                the ``TestData`` schema.
+        """
         path = Path(filepath)
 
         with path.open("r") as f:
diff --git a/mellea/stdlib/context.py b/mellea/stdlib/context.py
index 7f4b0da79..f0e2e8b2f 100644
--- a/mellea/stdlib/context.py
+++ b/mellea/stdlib/context.py
@@ -1,4 +1,11 @@
-"""Basic Contexts."""
+"""Concrete ``Context`` implementations for common conversation patterns.
+
+Provides ``ChatContext``, which accumulates all turns in a sliding-window chat history
+(configurable via ``window_size``), and ``SimpleContext``, in which each interaction
+is treated as a stateless single-turn exchange (no prior history is passed to the
+model). Import ``ChatContext`` for multi-turn conversations and ``SimpleContext`` when
+you want each call to the model to be independent.
+"""
 
 from __future__ import annotations
 
@@ -7,21 +14,44 @@
 
 
 class ChatContext(Context):
-    """Initializes a chat context with unbounded window_size and is_chat=True by default."""
+    """Initializes a chat context with unbounded window_size and is_chat=True by default.
+
+    Args:
+        window_size (int | None): Maximum number of context turns to include when
+            calling ``view_for_generation``. ``None`` (the default) means the full
+            history is always returned.
+    """
 
     def __init__(self, *, window_size: int | None = None):
-        """Constructs a new chat context."""
+        """Initialize ChatContext with an optional sliding-window size."""
         super().__init__()
         self._window_size = window_size
 
     def add(self, c: Component | CBlock) -> ChatContext:
-        """Add a new component/cblock to the context. Returns the new context."""
+        """Add a new component or CBlock to the context and return the updated context.
+
+        Args:
+            c (Component | CBlock): The component or content block to append.
+
+        Returns:
+            ChatContext: A new ``ChatContext`` with the added entry, preserving the
+            current ``window_size`` setting.
+        """
         new = ChatContext.from_previous(self, c)
         new._window_size = self._window_size
         return new
 
     def view_for_generation(self) -> list[Component | CBlock] | None:
-        """Returns the context in a linearized form. Uses the window_size set during initialization."""
+        """Return the context entries to pass to the model, respecting the configured window.
+
+        Uses the ``window_size`` set during initialisation to limit how many past
+        turns are included.  ``None`` is returned when the underlying history is
+        non-linear.
+
+        Returns:
+            list[Component | CBlock] | None: Ordered list of context entries up to
+            ``window_size`` turns, or ``None`` if the history is non-linear.
+        """
         return self.as_list(self._window_size)
 
 
@@ -29,9 +59,24 @@ class SimpleContext(Context):
     """A `SimpleContext` is a context in which each interaction is a separate and independent turn. The history of all previous turns is NOT saved.."""
 
     def add(self, c: Component | CBlock) -> SimpleContext:
-        """Add a new component/cblock to the context. Returns the new context."""
+        """Add a new component or CBlock to the context and return the updated context.
+
+        Args:
+            c (Component | CBlock): The component or content block to record.
+
+        Returns:
+            SimpleContext: A new ``SimpleContext`` containing only the added entry;
+            prior history is not retained.
+        """
         return SimpleContext.from_previous(self, c)
 
     def view_for_generation(self) -> list[Component | CBlock] | None:
-        """Returns an empty list."""
+        """Return an empty list, since ``SimpleContext`` does not pass history to the model.
+
+        Each call to the model is treated as a stateless, independent exchange.
+        No prior turns are forwarded.
+
+        Returns:
+            list[Component | CBlock] | None: Always an empty list.
+        """
         return []
diff --git a/mellea/stdlib/frameworks/react.py b/mellea/stdlib/frameworks/react.py
index 059c12977..810542295 100644
--- a/mellea/stdlib/frameworks/react.py
+++ b/mellea/stdlib/frameworks/react.py
@@ -1,4 +1,11 @@
-"""ReACT Agentic Pattern."""
+"""ReACT (Reason + Act) agentic pattern implementation.
+
+Provides the ``react()`` async function, which drives a tool-use loop: the model
+reasons about a goal, selects a tool, receives the result as an observation, and
+repeats until it calls ``final_answer`` or the ``loop_budget`` is exhausted. Accepts
+any list of ``AbstractMelleaTool`` instances and a ``ChatContext`` for multi-turn
+history tracking. Raises ``RuntimeError`` if the loop ends without a final answer.
+"""
 
 # from PIL import Image as PILImage
 from mellea.backends.model_options import ModelOption
diff --git a/mellea/stdlib/functional.py b/mellea/stdlib/functional.py
index b2e1b4290..02d705915 100644
--- a/mellea/stdlib/functional.py
+++ b/mellea/stdlib/functional.py
@@ -234,7 +234,22 @@ def chat(
     model_options: dict | None = None,
     tool_calls: bool = False,
 ) -> tuple[Message, Context]:
-    """Sends a simple chat message and returns the response. Adds both messages to the Context."""
+    """Sends a simple chat message and returns the response. Adds both messages to the Context.
+
+    Args:
+        content: The message text to send.
+        context: The current conversation context.
+        backend: The backend used to generate the response.
+        role: The role for the outgoing message (default ``"user"``).
+        images: Optional list of images to include in the message.
+        user_variables: Optional Jinja variable substitutions applied to ``content``.
+        format: Optional Pydantic model for constrained decoding of the response.
+        model_options: Additional model options to merge with backend defaults.
+        tool_calls: If true, tool calling is enabled.
+
+    Returns:
+        Tuple of the assistant ``Message`` and the updated ``Context``.
+    """
     if user_variables is not None:
         content_resolved = Instruction.apply_user_dict_from_jinja(
             user_variables, content
@@ -271,7 +286,21 @@ def validate(
     | None = None,  # TODO: Can we get rid of gen logs here and in act?
     input: CBlock | None = None,
 ) -> list[ValidationResult]:
-    """Validates a set of requirements over the output (if provided) or the current context (if the output is not provided)."""
+    """Validates a set of requirements over the output (if provided) or the current context (if the output is not provided).
+
+    Args:
+        reqs: A single ``Requirement`` or a list of them to validate.
+        context: The current conversation context.
+        backend: The backend used for LLM-as-a-judge requirements.
+        output: Optional model output ``CBlock`` to validate against instead of the context.
+        format: Optional Pydantic model for constrained decoding.
+        model_options: Additional model options to merge with backend defaults.
+        generate_logs: Optional list to append generation logs to.
+        input: Optional input ``CBlock`` to include alongside ``output`` when validating.
+
+    Returns:
+        List of ``ValidationResult`` objects, one per requirement.
+    """
     # Run everything in the specific event loop for this session.
 
     out = _run_async_in_thread(
@@ -708,7 +737,22 @@ async def achat(
     model_options: dict | None = None,
     tool_calls: bool = False,
 ) -> tuple[Message, Context]:
-    """Sends a simple chat message and returns the response. Adds both messages to the Context."""
+    """Sends a simple chat message and returns the response. Adds both messages to the Context.
+
+    Args:
+        content: The message text to send.
+        context: The current conversation context.
+        backend: The backend used to generate the response.
+        role: The role for the outgoing message (default ``"user"``).
+        images: Optional list of images to include in the message.
+        user_variables: Optional Jinja variable substitutions applied to ``content``.
+        format: Optional Pydantic model for constrained decoding of the response.
+        model_options: Additional model options to merge with backend defaults.
+        tool_calls: If true, tool calling is enabled.
+
+    Returns:
+        Tuple of the assistant ``Message`` and the updated ``Context``.
+    """
     if user_variables is not None:
         content_resolved = Instruction.apply_user_dict_from_jinja(
             user_variables, content
@@ -744,7 +788,21 @@ async def avalidate(
     generate_logs: list[GenerateLog] | None = None,
     input: CBlock | None = None,
 ) -> list[ValidationResult]:
-    """Asynchronous version of .validate; validates a set of requirements over the output (if provided) or the current context (if the output is not provided)."""
+    """Asynchronous version of .validate; validates a set of requirements over the output (if provided) or the current context (if the output is not provided).
+
+    Args:
+        reqs: A single ``Requirement`` or a list of them to validate.
+        context: The current conversation context.
+        backend: The backend used for LLM-as-a-judge requirements.
+        output: Optional model output ``CBlock`` to validate against instead of the context.
+        format: Optional Pydantic model for constrained decoding.
+        model_options: Additional model options to merge with backend defaults.
+        generate_logs: Optional list to append generation logs to.
+        input: Optional input ``CBlock`` to include alongside ``output`` when validating.
+
+    Returns:
+        List of ``ValidationResult`` objects, one per requirement.
+    """
     # Turn a solitary requirement in to a list of requirements, and then reqify if needed.
     reqs = [reqs] if not isinstance(reqs, list) else reqs
     reqs = [Requirement(req) if type(req) is str else req for req in reqs]
diff --git a/mellea/stdlib/requirements/md.py b/mellea/stdlib/requirements/md.py
index e4f8bca34..5d21223c3 100644
--- a/mellea/stdlib/requirements/md.py
+++ b/mellea/stdlib/requirements/md.py
@@ -25,7 +25,15 @@ def _get_mistletoe() -> Any:
 
 
 def as_markdown_list(ctx: Context) -> list[str] | None:
-    """Attempts to format the last_output of the given context as a markdown list."""
+    """Attempts to format the last_output of the given context as a markdown list.
+
+    Args:
+        ctx: The current conversation context whose last output will be parsed.
+
+    Returns:
+        List of rendered list-item strings if the output is a markdown list,
+        or ``None`` if parsing fails or the output is not a list.
+    """
     mistletoe = _get_mistletoe()
     xs = list()
     raw_output = ctx.last_output()
diff --git a/mellea/stdlib/requirements/python_reqs.py b/mellea/stdlib/requirements/python_reqs.py
index c5dd916f2..ad2d6a74b 100644
--- a/mellea/stdlib/requirements/python_reqs.py
+++ b/mellea/stdlib/requirements/python_reqs.py
@@ -140,7 +140,24 @@ def _python_executes_without_error(
 
 
 class PythonExecutionReq(Requirement):
-    """Verifies that Python code runs without raising exceptions."""
+    """Verifies that Python code runs without raising exceptions.
+
+    Extracts the highest-scoring Python code block from the model's last output
+    and validates or executes it according to the configured execution mode.
+
+    Args:
+        timeout (int): Maximum seconds to allow code to run. Defaults to ``5``.
+        allow_unsafe_execution (bool): If ``True``, execute code directly with
+            subprocess. Use only with trusted sources.
+        allowed_imports (list[str] | None): Allowlist of importable top-level
+            modules. ``None`` allows any import.
+        use_sandbox (bool): If ``True``, use ``llm-sandbox`` for Docker-based
+            isolated execution.
+
+    Attributes:
+        validation_fn (Callable[[Context], ValidationResult]): The validation
+            function attached to this requirement; always non-``None``.
+    """
 
     def __init__(
         self,
@@ -149,14 +166,7 @@ def __init__(
         allowed_imports: list[str] | None = None,
         use_sandbox: bool = False,
     ):
-        """Initialize execution validator.
-
-        Args:
-            timeout: Maximum seconds to allow code to run before timing out.
-            allow_unsafe_execution: If True, execute code directly with subprocess (unsafe).
-            allowed_imports: List of allowed import modules when using execution. None means any import is allowed.
-            use_sandbox: If True, use llm-sandbox for secure Docker-based execution.
-        """
+        """Initialize PythonExecutionReq with execution mode, timeout, and import allowlist settings."""
         self._timeout = timeout
         self._allow_unsafe = allow_unsafe_execution
         self._allowed_imports = allowed_imports
diff --git a/mellea/stdlib/requirements/requirement.py b/mellea/stdlib/requirements/requirement.py
index 17799eb5e..3ec5e8164 100644
--- a/mellea/stdlib/requirements/requirement.py
+++ b/mellea/stdlib/requirements/requirement.py
@@ -9,16 +9,28 @@
 
 
 class LLMaJRequirement(Requirement):
-    """A requirement that always uses LLM-as-a-Judge. Any available constraint ALoRA will be ignored."""
+    """A requirement that always uses LLM-as-a-Judge. Any available constraint ALoRA will be ignored.
+
+    Attributes:
+        use_aloras (bool): Always ``False`` for this class; ALoRA adapters are
+            never used even if they are available.
+    """
 
     use_aloras: bool = False
 
 
 def requirement_check_to_bool(x: CBlock | str) -> bool:
-    """Checks if a given output should be marked converted to `True`.
+    """Checks if a given output should be marked converted to ``True``.
 
-    By default, the requirement check alora outputs: `{"requirement_likelihood": 0.0}`.
-    True if >.5
+    By default, the requirement check alora outputs: ``{"requirement_likelihood": 0.0}``.
+    Returns ``True`` if the likelihood value is > 0.5.
+
+    Args:
+        x: ALoRA output string or CBlock containing JSON with a
+            ``requirement_likelihood`` field.
+
+    Returns:
+        True if the extracted likelihood exceeds 0.5, False otherwise.
     """
     output = str(x)
     req_dict: dict[str, Any] = json.loads(output)
@@ -37,15 +49,23 @@ def requirement_check_to_bool(x: CBlock | str) -> bool:
 
 
 class ALoraRequirement(Requirement, Intrinsic):
-    """A requirement that always uses an (possibly specified) ALora. If an exception is thrown during the ALora execution path, `mellea` will fall back to LLMaJ. But that is the only case where LLMaJ will be used."""
+    """A requirement validated by an ALoRA adapter; falls back to LLM-as-a-Judge only on error.
 
-    def __init__(self, description: str, intrinsic_name: str | None = None):
-        """A requirement that is validated by an ALora.
+    If an exception is thrown during the ALoRA execution path, ``mellea`` will
+    fall back to LLMaJ. That is the only case where LLMaJ will be used.
 
-        Args:
-            description: See `Requirement.__init__`
-            intrinsic_name: the name of the intrinsic; must match the adapter
-        """
+    Args:
+        description (str): Human-readable requirement description.
+        intrinsic_name (str | None): Name of the ALoRA intrinsic to use.
+            Defaults to ``"requirement_check"``.
+
+    Attributes:
+        use_aloras (bool): Always ``True``; this class always attempts to use
+            ALoRA adapters for validation.
+    """
+
+    def __init__(self, description: str, intrinsic_name: str | None = None):
+        """Initialize ALoraRequirement with a description and optional intrinsic adapter name."""
         # TODO: We may want to actually do the validation_fn here so that we can set the score.
         super().__init__(
             description, validation_fn=None, output_to_bool=requirement_check_to_bool
@@ -64,9 +84,18 @@ def __init__(self, description: str, intrinsic_name: str | None = None):
 
 
 def reqify(r: str | Requirement) -> Requirement:
-    """Maps strings to Requirements.
+    """Map strings to Requirements.
 
     This is a utility method for functions that allow you to pass in Requirements as either explicit Requirement objects or strings that you intend to be interpreted as requirements.
+
+    Args:
+        r: A ``Requirement`` object or a plain string description to wrap as one.
+
+    Returns:
+        A ``Requirement`` instance.
+
+    Raises:
+        Exception: If ``r`` is neither a ``str`` nor a ``Requirement`` instance.
     """
     if type(r) is str:
         return Requirement(r)
@@ -77,12 +106,28 @@ def reqify(r: str | Requirement) -> Requirement:
 
 
 def req(*args, **kwargs) -> Requirement:
-    """Shorthand for Requirement.__init__."""
+    """Shorthand for ``Requirement.__init__``.
+
+    Args:
+        *args: Positional arguments forwarded to ``Requirement.__init__``.
+        **kwargs: Keyword arguments forwarded to ``Requirement.__init__``.
+
+    Returns:
+        A new ``Requirement`` instance.
+    """
     return Requirement(*args, **kwargs)
 
 
 def check(*args, **kwargs) -> Requirement:
-    """Shorthand for Requirement.__init__(..., check_only=True)."""
+    """Shorthand for ``Requirement.__init__(..., check_only=True)``.
+
+    Args:
+        *args: Positional arguments forwarded to ``Requirement.__init__``.
+        **kwargs: Keyword arguments forwarded to ``Requirement.__init__``.
+
+    Returns:
+        A new ``Requirement`` instance with ``check_only=True``.
+    """
     return Requirement(*args, **kwargs, check_only=True)
 
 
@@ -116,6 +161,13 @@ def simple_validate(
     Args:
         fn: the simple validation function that takes a string and returns either a bool or (bool, str)
         reason: only used if the provided function returns a bool; if the validation function fails, a static reason for that failure to give to the llm when repairing
+
+    Returns:
+        A validation function that takes a ``Context`` and returns a ``ValidationResult``.
+
+    Raises:
+        ValueError: If ``fn`` returns a type other than ``bool`` or
+            ``tuple[bool, str]``.
     """
 
     def validate(ctx: Context) -> ValidationResult:
diff --git a/mellea/stdlib/requirements/safety/guardian.py b/mellea/stdlib/requirements/safety/guardian.py
index 4e840f46f..26cd632af 100644
--- a/mellea/stdlib/requirements/safety/guardian.py
+++ b/mellea/stdlib/requirements/safety/guardian.py
@@ -21,6 +21,18 @@ class GuardianRisk(Enum):
     """Risk definitions for Granite Guardian models.
 
     Based on https://github.com/ibm-granite/granite-guardian but updated for 3.3 8B support.
+
+    Attributes:
+        HARM (str): General harmful content risk.
+        GROUNDEDNESS (str): Factual groundedness / attribution risk.
+        PROFANITY (str): Profane language risk.
+        ANSWER_RELEVANCE (str): Answer relevance to the question risk.
+        JAILBREAK (str): Jailbreak attempt risk.
+        FUNCTION_CALL (str): Unsafe or invalid function-call risk.
+        SOCIAL_BIAS (str): Social bias risk.
+        VIOLENCE (str): Violent content risk.
+        SEXUAL_CONTENT (str): Explicit sexual content risk.
+        UNETHICAL_BEHAVIOR (str): Unethical behaviour risk.
     """
 
     HARM = "harm"
@@ -36,7 +48,11 @@ class GuardianRisk(Enum):
 
     @classmethod
     def get_available_risks(cls) -> list[str]:
-        """Get list of all available risk types."""
+        """Return a list of all available risk type identifiers.
+
+        Returns:
+            list[str]: String values of all ``GuardianRisk`` enum members.
+        """
         return [risk.value for risk in cls]
 
 
@@ -71,6 +87,24 @@ class GuardianCheck(Requirement):
     """Enhanced risk checking using Granite Guardian 3.3 8B with multiple backend support.
 
     [DEPRECATED as of V 0.4 -- Use Intrinsics instead]
+
+    Args:
+        risk (str | GuardianRisk | None): The type of risk to check for.  Required
+            unless ``custom_criteria`` is provided.
+        backend_type (BackendType): Backend type to use -- ``"ollama"`` or
+            ``"huggingface"``.
+        model_version (str | None): Specific Guardian model version.  Defaults to
+            the appropriate 8B model for the chosen backend.
+        device (str | None): Device string for HuggingFace inference (e.g.
+            ``"cuda"``).
+        ollama_url (str): Base URL for the Ollama server.
+        thinking (bool): Enable chain-of-thought reasoning mode in the Guardian model.
+        custom_criteria (str | None): Free-text criteria string used in place of a
+            standard ``GuardianRisk`` value.
+        context_text (str | None): Context document for groundedness checks.
+        tools (list[dict] | None): Tool schemas for function-call validation.
+        backend (Backend | None): Pre-initialised backend instance to reuse; avoids
+            loading the model multiple times.
     """
 
     def __init__(
@@ -87,20 +121,7 @@ def __init__(
         tools: list[dict] | None = None,
         backend: Backend | None = None,
     ):
-        """Initialize GuardianCheck using existing backends with minimal glue.
-
-        Args:
-            risk: The type of risk to check for (harm, jailbreak, etc.)
-            backend_type: Type of backend to use ("ollama" or "huggingface")
-            model_version: Specific model version to use
-            device: Device for model inference (for HuggingFace)
-            ollama_url: URL for Ollama server
-            thinking: Enable thinking/reasoning mode
-            custom_criteria: Custom criteria for validation
-            context_text: Context document for groundedness checks
-            tools: Tool schemas for function call validation
-            backend: Pre-initialized backend to reuse (avoids loading model multiple times)
-        """
+        """Initialize GuardianCheck with a risk type, backend configuration, and optional criteria."""
         super().__init__(check_only=True)
 
         warnings.warn(
@@ -179,12 +200,23 @@ def __init__(
         self._logger = FancyLogger.get_logger()
 
     def get_effective_risk(self) -> str:
-        """Get the effective risk criteria to use for validation."""
+        """Return the effective risk criteria to use for validation.
+
+        Returns the ``custom_criteria`` string when one was provided, otherwise
+        returns the ``risk`` identifier set during initialisation.
+
+        Returns:
+            str: The active risk/criteria string forwarded to the Guardian model.
+        """
         return self._custom_criteria if self._custom_criteria else self._risk
 
     @classmethod
     def get_available_risks(cls) -> list[str]:
-        """Get list of all available standard risk types."""
+        """Return a list of all available standard risk type identifiers.
+
+        Returns:
+            list[str]: String values of all ``GuardianRisk`` enum members.
+        """
         return GuardianRisk.get_available_risks()
 
     def __deepcopy__(self, memo):
@@ -215,7 +247,25 @@ async def validate(
         format: type[BaseModelSubclass] | None = None,
         model_options: dict | None = None,
     ) -> ValidationResult:
-        """Validate conversation using Granite Guardian via selected backend."""
+        """Validate a conversation using Granite Guardian via the selected backend.
+
+        Builds a minimal chat context from the current session context, invokes the
+        Guardian model, and parses its ``<score>yes/no</score>`` output.  A ``"No"``
+        label (risk not detected) is treated as a passing validation result.
+
+        Args:
+            backend (Backend): The session backend (used as a fallback context
+                source; the Guardian's own backend is used for generation).
+            ctx (Context): The current conversation context to validate.
+            format (type[BaseModelSubclass] | None): Unused; present for interface
+                compatibility.
+            model_options (dict | None): Additional model options merged into the
+                Guardian backend call.
+
+        Returns:
+            ValidationResult: ``result=True`` when the content is considered safe
+            (Guardian returns ``"No"``), ``result=False`` otherwise.
+        """
         logger = self._logger
 
         # Build a fresh chat context for the guardian model (keep it minimal).
diff --git a/mellea/stdlib/requirements/tool_reqs.py b/mellea/stdlib/requirements/tool_reqs.py
index 8def8bf16..007b60114 100644
--- a/mellea/stdlib/requirements/tool_reqs.py
+++ b/mellea/stdlib/requirements/tool_reqs.py
@@ -1,4 +1,12 @@
-"""Requirements for tool-use workflows."""
+"""``Requirement`` factories for tool-use validation.
+
+Provides ``uses_tool``, a ``Requirement`` factory that validates whether a model
+response includes a call to a specified tool — useful when you need to enforce tool
+invocation via rejection sampling rather than relying solely on the model's
+``tool_choice`` setting. Also provides ``tool_arg_validator``, which validates the
+value of a specific argument to a named tool. Both accept either the tool's string
+name or its callable.
+"""
 
 from collections.abc import Callable
 
@@ -22,7 +30,10 @@ def uses_tool(tool_name: str | Callable, check_only: bool = False) -> Requiremen
         tool_name: The tool that must be called; this can be either the name of the tool or the Callable for the tool.
         check_only: Propagates to the Requirement.
 
-    Use `tool_choice` if the OpenAI `tool_choice` model option is supported by your model and inference engine.
+    Use ``tool_choice`` if the OpenAI ``tool_choice`` model option is supported by your model and inference engine.
+
+    Returns:
+        A ``Requirement`` that validates whether the specified tool was called.
     """
     tool_name = _name2str(tool_name)
 
@@ -61,6 +72,9 @@ def tool_arg_validator(
     Todo:
         1. should this be a requirement?
         2. should this be done automatically when the user provides asserts in their function body?
+
+    Returns:
+        A ``Requirement`` that validates the specified tool argument.
     """
     if tool_name:
         tool_name = _name2str(tool_name)
diff --git a/mellea/stdlib/sampling/base.py b/mellea/stdlib/sampling/base.py
index 5cb938da0..ce1728627 100644
--- a/mellea/stdlib/sampling/base.py
+++ b/mellea/stdlib/sampling/base.py
@@ -38,20 +38,22 @@
 
 
 class BaseSamplingStrategy(SamplingStrategy):
-    """Base class for multiple strategies that rejects samples based on given instructions."""
+    """Base class for multiple strategies that reject samples based on given instructions.
+
+    Args:
+        loop_budget (int): Maximum number of generate/validate cycles. Must be
+            greater than 0. Defaults to ``1``.
+        requirements (list[Requirement] | None): Global requirements evaluated
+            on every sample. When set, overrides per-call requirements.
+
+    """
 
     loop_budget: int
 
     def __init__(
         self, *, loop_budget: int = 1, requirements: list[Requirement] | None = None
     ):
-        """Initialize a new instance of the class with default parameters.
-
-        Args:
-            loop_budget: Number of times to iterate through the process. Must be greater than 0.
-            validate: Function to validate the results against requirements. If None, validation is provided later through setter.
-            generate: Function to generate new model output thunks. If None, generate is provided later through setter.
-            requirements: List of requirements to test against. If None, test all requirements attached to the given instruction.
+        """Initialize BaseSamplingStrategy with a loop budget and optional global requirements.
 
         Raises:
             AssertionError: If loop_budget is not greater than 0.
diff --git a/mellea/stdlib/sampling/budget_forcing.py b/mellea/stdlib/sampling/budget_forcing.py
index f59aa85b3..d17402e57 100644
--- a/mellea/stdlib/sampling/budget_forcing.py
+++ b/mellea/stdlib/sampling/budget_forcing.py
@@ -23,7 +23,35 @@
 
 
 class BudgetForcingSamplingStrategy(RejectionSamplingStrategy):
-    """Budget forcing sampling class."""
+    """Sampling strategy that enforces a token budget for chain-of-thought reasoning.
+
+    Extends ``RejectionSamplingStrategy`` with explicit control over the ``<think>``
+    block size and the answer block size. On each loop iteration,
+    ``think_budget_forcing`` interleaves forced-thinking and final-answer generation,
+    after which the standard rejection-sampling validation pass determines whether to
+    accept or retry.
+
+    Currently only supports the ``OllamaModelBackend``.
+
+    Args:
+        think_max_tokens (int | None): Tokens allocated for the thinking block.
+            Defaults to ``4096``.
+        answer_max_tokens (int | None): Tokens allocated for the answer block.
+            ``None`` means unbounded.
+        start_think_token (str | None): Token opening the thinking block.
+            Defaults to ``"<think>"``.
+        end_think_token (str | None): Token closing the thinking block.
+            Defaults to ``"</think>"``.
+        begin_response_token (str | None): Optional token opening the response
+            block. Defaults to ``""``.
+        end_response_token (str): Token closing the response block.
+        think_more_suffix (str | None): Suffix to force continued thinking.
+            Empty string disables forcing.
+        answer_suffix (str | None): Suffix to elicit a final answer.
+        loop_budget (int): Rejection-sampling loop count. Must be > 0.
+        requirements (list[Requirement] | None): Requirements to validate against.
+
+    """
 
     think_max_tokens: int | None
     answer_max_tokens: int | None
@@ -48,21 +76,7 @@ def __init__(
         loop_budget: int = 1,
         requirements: list[Requirement] | None,
     ):
-        r"""Initialize class.
-
-        Inherits from RejectionSamplingStrategy.
-
-        Args:
-            think_max_tokens: Number of tokens for think block
-            answer_max_tokens: Number of tokens allocated for answer portion, if set to None answer tokens will be unlimited
-            start_think_token: Special start of think block token defaults to '<think>'
-            end_think_token: Special end of think block token defaults to '</think>'
-            begin_response_token: Special begin of response block token e.g. '<response>' defaults to ""
-            end_response_token: Special end of response block token e.g. '</response>' defaults to ""
-            think_more_suffix: Suffix for continue thinking e.g. "\nWait let's think more carefully" to force the model to think more, defaults to "".  If set to "", no force thinking will be applied, the token budget will be become an upper bound.
-            answer_suffix: Suffix to obtain final answer, default to "\nThe final answer is:"
-            loop_budget: Number of times to iterate through the process. Must be greater than 0.
-            requirements: List of requirements to test against. If None, test all requirements attached to the given instruction.
+        r"""Initialize BudgetForcingSamplingStrategy with token budget parameters and rejection-sampling settings.
 
         Raises:
             AssertionError: If loop_budget is not greater than 0.
diff --git a/mellea/stdlib/sampling/majority_voting.py b/mellea/stdlib/sampling/majority_voting.py
index d770d6526..05b377c32 100644
--- a/mellea/stdlib/sampling/majority_voting.py
+++ b/mellea/stdlib/sampling/majority_voting.py
@@ -20,7 +20,22 @@
 
 
 class BaseMBRDSampling(RejectionSamplingStrategy):
-    """Abstract Minimum Bayes Risk Decoding (MBRD) Sampling Strategy."""
+    """Abstract Minimum Bayes Risk Decoding (MBRD) Sampling Strategy.
+
+    Args:
+        number_of_samples (int): Number of samples to generate and use for
+            majority voting. Defaults to ``8``.
+        weighted (bool): Not yet implemented. If ``True``, weights scores
+            before majority vote.
+        loop_budget (int): Inner rejection-sampling loop count. Must be > 0.
+        requirements (list[Requirement] | None): Requirements to validate
+            against. If ``None``, uses per-call requirements.
+
+    Attributes:
+        symmetric (bool): Whether the similarity metric is symmetric, allowing
+            the upper-triangle score matrix to be mirrored; always ``True`` for
+            this base class.
+    """
 
     number_of_samples: int
     weighted: bool
@@ -34,18 +49,7 @@ def __init__(
         loop_budget: int = 1,
         requirements: list[Requirement] | None = None,
     ):
-        """Initialize a new abstract Minimum Bayes Risk Decoding (MBRD) Sampling Strategy with default parameters.
-
-        Inherits from RejectionSamplingStrategy. Will generate up to loop_budget x number_of_samples requests. If no
-        requirements are provided here or in sample(...), will only generate number_of_samples requests.
-
-        Classes that inherit from this must implement the `compare_strings` function.
-
-        Args:
-            number_of_samples: Number of samples to generate and use for majority voting
-            weighted: Not Implemented. If True, weights the score before getting the final majority vote
-            loop_budget: Inner rejection sampling number of times to iterate through the process. Must be greater than 0.
-            requirements: List of requirements to test against. If None, test all requirements attached to the given instruction.
+        """Initialize BaseMBRDSampling with the number of samples, weighting flag, and inner loop budget.
 
         Raises:
             AssertionError: If loop_budget is not greater than 0.
@@ -57,10 +61,32 @@ def __init__(
 
     @abc.abstractmethod
     def compare_strings(self, ref: str, pred: str) -> float:
-        """This method is the abstract method for MBRD similarity metric."""
+        """Compute a similarity score between a reference and a predicted string.
+
+        Subclasses must implement this to define the MBRD similarity metric.
 
-    def maybe_apply_weighted(self, scr: np.ndarray):
-        """Applies weights if self.weighted is True. Not Implemented."""
+        Args:
+            ref (str): The reference string to compare against.
+            pred (str): The predicted string to evaluate.
+
+        Returns:
+            float: A similarity score, typically in ``[0.0, 1.0]`` where ``1.0``
+            indicates a perfect match.
+        """
+
+    def maybe_apply_weighted(self, scr: np.ndarray) -> np.ndarray:
+        """Apply per-sample weights to the score vector if ``self.weighted`` is ``True``.
+
+        Currently not implemented; the input array is returned unchanged when
+        ``self.weighted`` is ``True``.
+
+        Args:
+            scr (np.ndarray): 1-D array of aggregated similarity scores, one
+                entry per candidate sample.
+
+        Returns:
+            np.ndarray: The (possibly weighted) score array.
+        """
         # TODO: not implemented yet
         if self.weighted:
             weights = np.asarray([1.0 for _ in range(len(scr))])
@@ -162,7 +188,24 @@ async def sample(
 
 
 class MajorityVotingStrategyForMath(BaseMBRDSampling):
-    """MajorityVoting Sampling Strategy for Math Expressions."""
+    """MajorityVoting Sampling Strategy for Math Expressions.
+
+    Args:
+        number_of_samples (int): Number of samples to generate. Defaults to ``8``.
+        float_rounding (int): Decimal places for float comparison. Defaults to ``6``.
+        strict (bool): Enforce strict comparison mode. Defaults to ``True``.
+        allow_set_relation_comp (bool): Allow set-relation comparisons. Defaults
+            to ``False``.
+        weighted (bool): Not yet implemented. Defaults to ``False``.
+        loop_budget (int): Rejection-sampling loop count. Defaults to ``1``.
+        requirements (list[Requirement] | None): Requirements to validate against.
+
+    Attributes:
+        match_types (list[str]): Extraction target types used for parsing math
+            expressions; always ``["latex", "axpr"]``, computed at init.
+        symmetric (bool): Inherited from ``BaseMBRDSampling``; always ``True``
+            for this strategy (set explicitly at init).
+    """
 
     number_of_samples: int
     match_types: list[str]
@@ -181,23 +224,7 @@ def __init__(
         loop_budget: int = 1,
         requirements: list[Requirement] | None = None,
     ):
-        """Initialize a new instance of MajorityVoting Sampling Strategy for Math with default parameters.
-
-        Will generate up to loop_budget x number_of_samples requests. If no
-        requirements are provided here or in sample(...), will only generate number_of_samples requests.
-
-        Args:
-            number_of_samples: Number of samples to generate and use for majority voting
-            float_rounding: Number of decimal places to round floats to. Defaults to 6.
-            strict: Whether to enforce strict comparison mode. Defaults to True.
-                - In strict mode: Variables matter and sets are not comparable with tuples
-                - In non-strict mode: Variables are matched by position and sets can be compared with tuples
-            allow_set_relation_comp: Whether to allow set - relation (e.g 1 < x < 2 and (1, 2)) comparison. Defaults to False.
-                - If True, set - relation comparison will be allowed in all cases.
-                - If False, set - relation comparison will be allowed only if the prediction is a set.
-            weighted: Not Implemented. If True, weights the score before getting the final majority vote
-            loop_budget: Inner rejection sampling number of times to iterate through the process. Must be greater than 0.
-            requirements: List of requirements to test against. If None, test all requirements attached to the given instruction.
+        """Initialize MajorityVotingStrategyForMath with math-comparison settings and sampling parameters.
 
         Raises:
             AssertionError: If loop_budget is not greater than 0.
@@ -223,7 +250,20 @@ def __init__(
 
     # https://github.com/huggingface/Math-Verify/blob/5d148cfaaf99214c2e4ffb4bc497ab042c592a7a/tests/test_all.py#L36
     def compare_strings(self, ref: str, pred: str) -> float:
-        """Helper function to compare strings using the math extraction metrics."""
+        """Compare two strings using math-aware extraction and verification.
+
+        Parses both strings into mathematical expressions using the configured
+        ``match_types`` (latex and/or expr), then verifies equivalence via
+        ``math_verify.verify``.
+
+        Args:
+            ref (str): The reference (gold) string containing a math expression.
+            pred (str): The predicted string to compare against the reference.
+
+        Returns:
+            float: ``1.0`` if the expressions are considered equivalent,
+            ``0.0`` otherwise.
+        """
         # Convert string match_types to ExtractionTarget objects
         extraction_targets = []
         for match_type in self.match_types:
@@ -248,7 +288,21 @@ def compare_strings(self, ref: str, pred: str) -> float:
 
 
 class MBRDRougeLStrategy(BaseMBRDSampling):
-    """Sampling Strategy that uses RougeL to compute symbol-level distances for majority voting."""
+    """Sampling Strategy that uses RougeL to compute symbol-level distances for majority voting.
+
+    Args:
+        number_of_samples (int): Number of samples to generate. Defaults to ``8``.
+        weighted (bool): Not yet implemented. Defaults to ``False``.
+        loop_budget (int): Rejection-sampling loop count. Defaults to ``1``.
+        requirements (list[Requirement] | None): Requirements to validate against.
+
+    Attributes:
+        match_types (list[str]): Rouge metric names used for scoring (``["rougeL"]``).
+        scorer (RougeScorer): Pre-configured ``RougeScorer`` instance used for
+            pairwise string comparison.
+        symmetric (bool): Inherited from ``BaseMBRDSampling``; always ``True`` for
+            RougeL (the score is symmetric by construction).
+    """
 
     match_types: list[str]
     scorer: RougeScorer
@@ -261,16 +315,7 @@ def __init__(
         loop_budget: int = 1,
         requirements: list[Requirement] | None = None,
     ):
-        """Initialize a new instance of MBRDRougeL Sampling Strategy with default parameters.
-
-        Will generate up to loop_budget x number_of_samples requests. If no
-        requirements are provided here or in sample(...), will only generate number_of_samples requests.
-
-        Args:
-            number_of_samples: Number of samples to generate and use for majority voting
-            weighted: Not Implemented. If True, weights the score before getting the final majority vote
-            loop_budget: Inner rejection sampling number of times to iterate through the process. Must be greater than 0.
-            requirements: List of requirements to test against. If None, test all requirements attached to the given instruction.
+        """Initialize MBRDRougeLStrategy with RougeL scoring and sampling parameters.
 
         Raises:
             AssertionError: If loop_budget is not greater than 0.
@@ -287,6 +332,14 @@ def __init__(
 
     # https://github.com/huggingface/Math-Verify/blob/5d148cfaaf99214c2e4ffb4bc497ab042c592a7a/tests/test_all.py#L36
     def compare_strings(self, ref: str, pred: str) -> float:
-        """Helper function to compare strings using the math extraction metrics."""
+        """Compare two strings using the RougeL F-measure.
+
+        Args:
+            ref (str): The reference string to score against.
+            pred (str): The predicted string to evaluate.
+
+        Returns:
+            float: RougeL F-measure score in the range ``[0.0, 1.0]``.
+        """
         scr: float = self.scorer.score(ref, pred)[self.match_types[-1]].fmeasure
         return scr
diff --git a/mellea/stdlib/sampling/sampling_algos/budget_forcing_alg.py b/mellea/stdlib/sampling/sampling_algos/budget_forcing_alg.py
index 12ea3f5a0..7d211e386 100644
--- a/mellea/stdlib/sampling/sampling_algos/budget_forcing_alg.py
+++ b/mellea/stdlib/sampling/sampling_algos/budget_forcing_alg.py
@@ -1,4 +1,12 @@
-"""Budget forcing implementation."""
+"""Budget-forcing generation algorithm for thinking models.
+
+Implements ``think_budget_forcing``, which extends a model's reasoning phase by
+repeatedly appending a "think more" suffix whenever the model attempts to close its
+``<think>`` block prematurely, following the method proposed in arXiv:2501.19393.
+Generation is split into a thinking pass (bounded by ``think_max_tokens``) and an
+answer pass (bounded by ``answer_max_tokens``), using the raw completions API of an
+``OllamaModelBackend``.
+"""
 
 from typing import Any
 
@@ -14,7 +22,7 @@
 )
 
 
-async def think_budget_forcing(  # noqa: D417
+async def think_budget_forcing(
     backend: OllamaModelBackend,
     action: CBlock | Component,
     *,
@@ -38,17 +46,32 @@ async def think_budget_forcing(  # noqa: D417
     This is performed via multi-step generation. The model will be called multiple times until requirements are met, in other words, the response will be assembled conditionally.
 
     Args:
-        backend: OllamaModelBackend
-        action: The last item of the context should be passed in as an `action` instead of as part of the `ctx`. See `docs/dev/generate_signature_decisions.md`.
-        think_max_tokens: Budget in number of tokens allocated for the think block
-        answer_max_tokens: Budget in number of tokens allocated for the summary and answer block, None indicates unbounded answer, generating till EoS
-        start_think_token: String indicating start of think block, default <think>
-        end_think_token: String indicating end of think block, default </think>
-        begin_response_token: Used by certain models, string indicating start of response block, e.g. "<response>", default None
-        think_more_suffix: String to append to force continued thinking, e.g. "\nWait" if set to None we will not force additional thinking. Use None for upper-bound budget case
-        answer_suffix: String to append to force a final answer
+        backend: OllamaModelBackend instance to use for generation.
+        action: The last item of the context, passed as an ``action`` instead of as part
+            of the ``ctx``. See ``docs/dev/generate_signature_decisions.md``.
+        ctx: The current conversation context.
+        format: Optional Pydantic model for constrained decoding of the response.
+        tool_calls: If ``True``, tool calling is enabled.
+        think_max_tokens: Budget in number of tokens allocated for the think block.
+        answer_max_tokens: Budget in number of tokens allocated for the summary and
+            answer block; ``None`` indicates unbounded answer, generating till EoS.
+        start_think_token: String indicating start of think block, default ``<think>``.
+        end_think_token: String indicating end of think block, default ``</think>``.
+        begin_response_token: Used by certain models, string indicating start of
+            response block, e.g. ``"<response>"``, default ``""``.
+        think_more_suffix: String to append to force continued thinking, e.g.
+            ``"\nWait"``; if ``None``, additional thinking is not forced (upper-bound
+            budget case).
+        answer_suffix: String to append to force a final answer.
         model_options: Any model options to upsert into the defaults for this call.
 
+    Returns:
+        ModelOutputThunk: The assembled thinking and answer response.
+
+    Raises:
+        Exception: If the backend returns generation results without the
+            required ``meta`` information (e.g. token usage counts).
+
     Assumptions:
         -  The chat template is applied on prompt, with think mode enabled
         -  Model is think mode activated
diff --git a/mellea/stdlib/sampling/sofai.py b/mellea/stdlib/sampling/sofai.py
index e77654350..0f17e8c1f 100644
--- a/mellea/stdlib/sampling/sofai.py
+++ b/mellea/stdlib/sampling/sofai.py
@@ -34,14 +34,29 @@
 
 
 class SOFAISamplingStrategy(SamplingStrategy):
-    """SOFAI sampling strategy.
+    """SOFAI (Slow and Fast AI) two-solver sampling strategy.
 
-    Uses S1 Solver (fast model) in a loop with targeted feedback from validation results.
-    If S1 Solver fails after exhausting the budget or shows no improvement,
-    escalates to a single attempt with S2 Solver (slow model).
+    Uses S1 Solver (fast model) in a loop with targeted feedback from validation
+    results. If S1 Solver fails after exhausting the budget or shows no
+    improvement, escalates to a single attempt with S2 Solver (slow model).
 
-    The strategy leverages ValidationResult.reason fields to provide targeted
+    The strategy leverages ``ValidationResult.reason`` fields to provide targeted
     feedback for repair, enabling more effective iterative improvement.
+
+    Args:
+        s1_solver_backend (Backend): Backend for the fast S1 solver used in the
+            iterative repair loop.
+        s2_solver_backend (Backend): Backend for the slow S2 solver used as a
+            final escalation step.
+        s2_solver_mode (Literal["fresh_start", "continue_chat", "best_attempt"]):
+            How to invoke the S2 solver when S1 fails.
+        loop_budget (int): Maximum number of S1 repair attempts before escalating
+            to S2. Must be greater than 0. Defaults to ``3``.
+        judge_backend (Backend | None): Optional backend for LLM-as-Judge
+            validation. If ``None``, falls back to the session backend.
+        feedback_strategy (Literal["simple", "first_error", "all_errors"]):
+            Detail level of repair feedback provided to the S1 solver.
+
     """
 
     def __init__(
@@ -56,24 +71,7 @@ def __init__(
         judge_backend: Backend | None = None,
         feedback_strategy: Literal["simple", "first_error", "all_errors"] = "simple",
     ):
-        """Initialize SOFAI sampling strategy with two solvers.
-
-        Args:
-            s1_solver_backend: Backend for S1 Solver (fast model for iterative solving).
-            s2_solver_backend: Backend for S2 Solver (slow model for escalation).
-            s2_solver_mode: How to invoke S2 Solver:
-                - "fresh_start": Same prompt as S1 solver (clean slate)
-                - "continue_chat": Fresh start input + S1 iteration/feedback history
-                - "best_attempt": Fresh start input + best S1 attempt + its feedback
-            loop_budget: Maximum attempts for S1 Solver before falling back to S2 Solver.
-            judge_backend: Optional third backend for LLM-as-Judge validation.
-                If provided, this backend will be used for validation when no custom
-                validation_fn is provided. Priority: validation_fn > judge_backend > session backend.
-            feedback_strategy: Control detail level of LLM-as-Judge feedback:
-                - "simple": Binary yes/no validation, no detailed feedback (default)
-                - "first_error": Provide only the first mistake found with detailed feedback
-                - "all_errors": Provide comprehensive feedback about all mistakes
-                Note: Only used when judge_backend is provided and requirement has no validation_fn.
+        """Initialize SOFAISamplingStrategy with S1/S2 solver backends, loop budget, and feedback settings.
 
         Raises:
             TypeError: If backends are not Backend instances.
diff --git a/mellea/stdlib/session.py b/mellea/stdlib/session.py
index 880d1391a..a69936991 100644
--- a/mellea/stdlib/session.py
+++ b/mellea/stdlib/session.py
@@ -1,4 +1,12 @@
-"""Mellea Sessions."""
+"""``MelleaSession``: the primary entry point for running generative programs.
+
+``MelleaSession`` wraps a ``Backend`` and a ``Context`` and exposes high-level methods
+(``act``, ``instruct``, ``sample``) that drive the generate-validate-repair loop. It
+also manages a global context variable (accessible via ``get_session()``) so that
+nested components can reach the current session without explicit threading. Use
+``start_session(...)`` as a context manager to create and automatically clean up a
+session.
+"""
 
 from __future__ import annotations
 
@@ -41,6 +49,9 @@
 def get_session() -> MelleaSession:
     """Get the current session from context.
 
+    Returns:
+        The currently active ``MelleaSession``.
+
     Raises:
         RuntimeError: If no session is currently active.
     """
@@ -53,7 +64,20 @@ def get_session() -> MelleaSession:
 
 
 def backend_name_to_class(name: str) -> Any:
-    """Resolves backend names to Backend classes."""
+    """Resolves backend names to Backend classes.
+
+    Args:
+        name: Short backend name, e.g. ``"ollama"``, ``"hf"``, ``"openai"``,
+            ``"watsonx"``, or ``"litellm"``.
+
+    Returns:
+        The corresponding ``Backend`` class, or ``None`` if the name is unrecognised.
+
+    Raises:
+        ImportError: If the requested backend has optional dependencies that are
+            not installed (e.g. ``mellea[hf]``, ``mellea[watsonx]``, or
+            ``mellea[litellm]``).
+    """
     if name == "ollama":
         from ..backends.ollama import OllamaModelBackend
 
@@ -131,6 +155,12 @@ def start_session(
         MelleaSession: A session object that can be used as a context manager
         or called directly with session methods.
 
+    Raises:
+        Exception: If ``backend_name`` is not one of the recognised backend
+            identifiers.
+        ImportError: If the requested backend requires optional dependencies
+            that are not installed.
+
     Examples:
         ```python
         # Basic usage with default settings
@@ -210,17 +240,31 @@ class MelleaSession:
     If you are doing complicating programming (e.g., non-trivial inference scaling) then you might be better off forgoing `MelleaSession`s and managing your Context and Backend directly.
 
     Note: we put the `instruct`, `validate`, and other convenience functions here instead of in `Context` or `Backend` to avoid import resolution issues.
+
+    Args:
+        backend (Backend): The backend to use for all model inference in this
+            session.
+        ctx (Context | None): The conversation context. Defaults to a new
+            ``SimpleContext`` if ``None``.
+
+    Attributes:
+        ctx (Context): The active conversation context; never ``None`` (defaults
+            to a fresh ``SimpleContext`` when ``None`` is passed). Updated after
+            every call that produces model output.
+        id (str): Unique session UUID assigned at construction.
     """
 
     ctx: Context
 
     def __init__(self, backend: Backend, ctx: Context | None = None):
-        """Initializes a new Mellea session with the provided backend and context.
+        """Initialize MelleaSession with a backend and optional conversation context.
 
         Args:
             backend (Backend): This is always required.
-            ctx (Context): The way in which the model's context will be managed. By default, each interaction with the model is a stand-alone interaction, so we use SimpleContext as the default.
+            ctx (Context): The way in which the model's context will be used. By default, we use SimpleContext as the default.
         """
+        import uuid
+        self.id = str(uuid.uuid4())
         self.backend = backend
         self.ctx: Context = ctx if ctx is not None else SimpleContext()
         self._session_logger = FancyLogger.get_logger()
@@ -282,12 +326,40 @@ def clone(self):
         return copy(self)
 
     def reset(self):
-        """Reset the context state."""
+        """Reset the context state to a fresh, empty context of the same type.
+
+        Fires the ``SESSION_RESET`` plugin hook if any plugins are registered, then
+        replaces ``self.ctx`` with the result of ``ctx.reset_to_new()``, discarding
+        all accumulated conversation history.
+        """
+        if has_plugins(HookType.SESSION_RESET):
+            from ..plugins.hooks.session import SessionResetPayload
+
+            payload = SessionResetPayload(previous_context=self.ctx)
+            _run_async_in_thread(
+                invoke_hook(HookType.SESSION_RESET, payload, backend=self.backend)
+            )
         self.ctx = self.ctx.reset_to_new()
 
     def cleanup(self) -> None:
-        """Clean up session resources."""
-        self.reset()
+        """Clean up session resources and deregister session-scoped plugins."""
+        if has_plugins(HookType.SESSION_CLEANUP):
+            from ..plugins.hooks.session import SessionCleanupPayload
+
+            payload = SessionCleanupPayload(
+                context=self.ctx, interaction_count=len(self.ctx.as_list())
+            )
+            _run_async_in_thread(
+                invoke_hook(HookType.SESSION_CLEANUP, payload, backend=self.backend)
+            )
+
+        # Deregister session-scoped plugins — must run whenever plugins are
+        # enabled, regardless of whether any plugin subscribes to SESSION_CLEANUP.
+        if has_plugins():
+            from ..plugins.manager import deregister_session_plugins
+
+            deregister_session_plugins(self.id)
+            
         if hasattr(self.backend, "close"):
             self.backend.close()  # type: ignore
 
@@ -433,6 +505,10 @@ def instruct(
             model_options: Additional model options, which will upsert into the model/backend's defaults.
             tool_calls: If true, tool calling is enabled.
             images: A list of images to be used in the instruction or None if none.
+
+        Returns:
+            A ``ModelOutputThunk`` if ``return_sampling_results`` is ``False``,
+            else a ``SamplingResult``.
         """
         r = mfuncs.instruct(
             description,
@@ -472,7 +548,20 @@ def chat(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> Message:
-        """Sends a simple chat message and returns the response. Adds both messages to the Context."""
+        """Sends a simple chat message and returns the response. Adds both messages to the Context.
+
+        Args:
+            content: The message text to send.
+            role: The role for the outgoing message (default ``"user"``).
+            images: Optional list of images to include in the message.
+            user_variables: Optional Jinja variable substitutions applied to ``content``.
+            format: Optional Pydantic model for constrained decoding of the response.
+            model_options: Additional model options to merge with backend defaults.
+            tool_calls: If true, tool calling is enabled.
+
+        Returns:
+            The assistant ``Message`` response.
+        """
         result, context = mfuncs.chat(
             content=content,
             context=self.ctx,
@@ -498,7 +587,19 @@ def validate(
         generate_logs: list[GenerateLog] | None = None,
         input: CBlock | None = None,
     ) -> list[ValidationResult]:
-        """Validates a set of requirements over the output (if provided) or the current context (if the output is not provided)."""
+        """Validates a set of requirements over the output (if provided) or the current context (if the output is not provided).
+
+        Args:
+            reqs: A single ``Requirement`` or a list of them to validate.
+            output: Optional model output ``CBlock`` to validate against instead of the context.
+            format: Optional Pydantic model for constrained decoding.
+            model_options: Additional model options to merge with backend defaults.
+            generate_logs: Optional list to append generation logs to.
+            input: Optional input ``CBlock`` to include alongside ``output`` when validating.
+
+        Returns:
+            List of ``ValidationResult`` objects, one per requirement.
+        """
         return mfuncs.validate(
             reqs=reqs,
             context=self.ctx,
@@ -717,6 +818,10 @@ async def ainstruct(
             model_options: Additional model options, which will upsert into the model/backend's defaults.
             tool_calls: If true, tool calling is enabled.
             images: A list of images to be used in the instruction or None if none.
+
+        Returns:
+            A ``ModelOutputThunk`` if ``return_sampling_results`` is ``False``,
+            else a ``SamplingResult``.
         """
         r = await mfuncs.ainstruct(
             description,
@@ -756,7 +861,20 @@ async def achat(
         model_options: dict | None = None,
         tool_calls: bool = False,
     ) -> Message:
-        """Sends a simple chat message and returns the response. Adds both messages to the Context."""
+        """Sends a simple chat message and returns the response. Adds both messages to the Context.
+
+        Args:
+            content: The message text to send.
+            role: The role for the outgoing message (default ``"user"``).
+            images: Optional list of images to include in the message.
+            user_variables: Optional Jinja variable substitutions applied to ``content``.
+            format: Optional Pydantic model for constrained decoding of the response.
+            model_options: Additional model options to merge with backend defaults.
+            tool_calls: If true, tool calling is enabled.
+
+        Returns:
+            The assistant ``Message`` response.
+        """
         result, context = await mfuncs.achat(
             content=content,
             context=self.ctx,
@@ -782,7 +900,19 @@ async def avalidate(
         generate_logs: list[GenerateLog] | None = None,
         input: CBlock | None = None,
     ) -> list[ValidationResult]:
-        """Validates a set of requirements over the output (if provided) or the current context (if the output is not provided)."""
+        """Validates a set of requirements over the output (if provided) or the current context (if the output is not provided).
+
+        Args:
+            reqs: A single ``Requirement`` or a list of them to validate.
+            output: Optional model output ``CBlock`` to validate against instead of the context.
+            format: Optional Pydantic model for constrained decoding.
+            model_options: Additional model options to merge with backend defaults.
+            generate_logs: Optional list to append generation logs to.
+            input: Optional input ``CBlock`` to include alongside ``output`` when validating.
+
+        Returns:
+            List of ``ValidationResult`` objects, one per requirement.
+        """
         return await mfuncs.avalidate(
             reqs=reqs,
             context=self.ctx,
@@ -861,7 +991,16 @@ async def atransform(
 
     @classmethod
     def powerup(cls, powerup_cls: type):
-        """Appends methods in a class object `powerup_cls` to MelleaSession."""
+        """Appends methods in a class object `powerup_cls` to MelleaSession.
+
+        Iterates over all functions defined on ``powerup_cls`` and attaches each
+        one as a method on the ``MelleaSession`` class, effectively extending
+        the session with domain-specific helpers at runtime.
+
+        Args:
+            powerup_cls (type): A class whose functions should be added to
+                ``MelleaSession`` as instance methods.
+        """
         for name, fn in inspect.getmembers(powerup_cls, predicate=inspect.isfunction):
             setattr(cls, name, fn)
 
diff --git a/mellea/stdlib/tools/interpreter.py b/mellea/stdlib/tools/interpreter.py
index 622e19305..237545621 100644
--- a/mellea/stdlib/tools/interpreter.py
+++ b/mellea/stdlib/tools/interpreter.py
@@ -1,4 +1,14 @@
-"""Code interpreter tool."""
+"""Code interpreter tool and execution environments for agentic workflows.
+
+Provides ``ExecutionResult`` (capturing stdout, stderr, success, and optional static
+analysis output) and three concrete ``ExecutionEnvironment`` implementations:
+``StaticAnalysisEnvironment`` (parse and import-check only, no execution),
+``UnsafeEnvironment`` (subprocess execution in the current Python environment), and
+``LLMSandboxEnvironment`` (Docker-isolated execution via ``llm-sandbox``). All
+environments support an optional ``allowed_imports`` allowlist. The top-level
+``code_interpreter`` and ``local_code_interpreter`` functions are ready to be wrapped
+as ``MelleaTool`` instances for ReACT or other agentic loops.
+"""
 
 import ast
 import subprocess
@@ -28,6 +38,19 @@ class ExecutionResult:
     using the `analysis_result` field.
 
     TODO: should we also be trying to pass back the value of the final expression evaluated, or the value of locals() and globals()?
+
+    Args:
+        success (bool): ``True`` if execution succeeded (exit code 0 or
+            static-analysis passed); ``False`` otherwise.
+        stdout (str | None): Captured standard output, or ``None`` if
+            execution was skipped.
+        stderr (str | None): Captured standard error, or ``None`` if
+            execution was skipped.
+        skipped (bool): ``True`` when execution was not attempted.
+        skip_message (str | None): Explanation of why execution was skipped.
+        analysis_result (Any | None): Optional payload from static-analysis
+            environments.
+
     """
 
     success: bool
@@ -68,26 +91,48 @@ def to_validationresult_reason(self) -> str:
 
 
 class ExecutionEnvironment(ABC):
-    """Abstract environment for executing Python code."""
+    """Abstract environment for executing Python code.
 
-    def __init__(self, allowed_imports: list[str] | None = None):
-        """Initialize with optional import restrictions.
+    Args:
+        allowed_imports (list[str] | None): Allowlist of top-level module names
+            that generated code may import. ``None`` disables the import check.
 
-        Args:
-            allowed_imports: List of allowed import modules. None means any import is allowed.
-        """
+    """
+
+    def __init__(self, allowed_imports: list[str] | None = None):
+        """Initialize ExecutionEnvironment with an optional import allowlist."""
         self.allowed_imports = allowed_imports
 
     @abstractmethod
     def execute(self, code: str, timeout: int) -> ExecutionResult:
-        """Execute code and return result."""
+        """Execute the given code and return the result.
+
+        Args:
+            code (str): The Python source code to execute.
+            timeout (int): Maximum number of seconds to allow the code to run.
+
+        Returns:
+            ExecutionResult: Execution outcome including stdout, stderr, and
+            success flag.
+        """
 
 
 class StaticAnalysisEnvironment(ExecutionEnvironment):
     """Safe environment that validates but does not execute code."""
 
     def execute(self, code: str, timeout: int) -> ExecutionResult:
-        """Validate code syntax and imports without executing."""
+        """Validate code syntax and imports without executing.
+
+        Args:
+            code (str): The Python source code to validate.
+            timeout (int): Ignored for static analysis; present for interface
+                compatibility.
+
+        Returns:
+            ExecutionResult: Result with ``skipped=True`` and the parsed AST in
+            ``analysis_result`` on success, or a syntax-error description on
+            failure.
+        """
         try:
             parse_tree = ast.parse(code)
         except SyntaxError as e:
@@ -125,7 +170,18 @@ class UnsafeEnvironment(ExecutionEnvironment):
     """Unsafe environment that executes code directly with subprocess."""
 
     def execute(self, code: str, timeout: int) -> ExecutionResult:
-        """Execute code with subprocess after checking imports."""
+        """Execute code with subprocess after checking imports.
+
+        Args:
+            code (str): The Python source code to execute.
+            timeout (int): Maximum number of seconds before the subprocess is
+                killed and a timeout result is returned.
+
+        Returns:
+            ExecutionResult: Execution outcome with captured stdout/stderr and
+            success flag, or a skipped result if imports are unauthorized or an
+            unexpected error occurs.
+        """
         if self.allowed_imports:
             unauthorized = _get_unauthorized_imports(code, self.allowed_imports)
             if unauthorized:
@@ -185,7 +241,21 @@ class LLMSandboxEnvironment(ExecutionEnvironment):
     """Environment using llm-sandbox for secure Docker-based execution."""
 
     def execute(self, code: str, timeout: int) -> ExecutionResult:
-        """Execute code using llm-sandbox."""
+        """Execute code using llm-sandbox in an isolated Docker container.
+
+        Checks the import allowlist first, then delegates to a ``SandboxSession``
+        from the ``llm-sandbox`` package. Returns a skipped result if
+        ``llm-sandbox`` is not installed.
+
+        Args:
+            code (str): The Python source code to execute.
+            timeout (int): Maximum number of seconds to allow the sandboxed
+                process to run.
+
+        Returns:
+            ExecutionResult: Execution outcome with stdout/stderr and success
+            flag, or a skipped result on import violation or sandbox error.
+        """
         if self.allowed_imports:
             unauthorized = _get_unauthorized_imports(code, self.allowed_imports)
             if unauthorized:
@@ -267,6 +337,9 @@ def code_interpreter(code: str) -> ExecutionResult:
 
     Args:
         code: The Python code to execute.
+
+    Returns:
+        An ``ExecutionResult`` with stdout, stderr, and a success flag.
     """
     exec_env = LLMSandboxEnvironment(allowed_imports=None)
     return exec_env.execute(code, 60)
@@ -277,6 +350,9 @@ def local_code_interpreter(code: str) -> ExecutionResult:
 
     Args:
         code: The Python code to execute.
+
+    Returns:
+        An ``ExecutionResult`` with stdout, stderr, and a success flag.
     """
     exec_env = UnsafeEnvironment(allowed_imports=None)
     return exec_env.execute(code, 60)
diff --git a/mellea/telemetry/tracing.py b/mellea/telemetry/tracing.py
index 605d2d20a..cab2c2bc6 100644
--- a/mellea/telemetry/tracing.py
+++ b/mellea/telemetry/tracing.py
@@ -92,12 +92,22 @@ def _setup_tracer_provider() -> Any:
 
 
 def is_application_tracing_enabled() -> bool:
-    """Check if application tracing is enabled."""
+    """Check if application tracing is enabled.
+
+    Returns:
+        True if application tracing has been enabled via the
+        ``MELLEA_TRACE_APPLICATION`` environment variable.
+    """
     return _TRACE_APPLICATION_ENABLED
 
 
 def is_backend_tracing_enabled() -> bool:
-    """Check if backend tracing is enabled."""
+    """Check if backend tracing is enabled.
+
+    Returns:
+        True if backend tracing has been enabled via the
+        ``MELLEA_TRACE_BACKEND`` environment variable.
+    """
     return _TRACE_BACKEND_ENABLED
 
 
diff --git a/test/core/test_astream_incremental.py b/test/core/test_astream_incremental.py
index d34b8e70d..af0dca903 100644
--- a/test/core/test_astream_incremental.py
+++ b/test/core/test_astream_incremental.py
@@ -14,6 +14,7 @@
 
 @pytest.mark.ollama
 @pytest.mark.llm
+@pytest.mark.qualitative
 async def test_astream_returns_incremental_chunks():
     """Test that astream() returns only new content, not accumulated content.
 
@@ -68,6 +69,7 @@ async def test_astream_returns_incremental_chunks():
 
 @pytest.mark.ollama
 @pytest.mark.llm
+@pytest.mark.qualitative
 async def test_astream_multiple_calls_accumulate_correctly():
     """Test that multiple astream() calls accumulate to the final value.
 
@@ -111,6 +113,7 @@ async def test_astream_multiple_calls_accumulate_correctly():
 
 @pytest.mark.ollama
 @pytest.mark.llm
+@pytest.mark.qualitative
 async def test_astream_beginning_length_tracking():
     """Test that beginning_length is correctly tracked across astream calls.
 
@@ -141,6 +144,7 @@ async def test_astream_beginning_length_tracking():
 
 @pytest.mark.ollama
 @pytest.mark.llm
+@pytest.mark.qualitative
 async def test_astream_empty_beginning():
     """Test astream when _underlying_value starts as None."""
     session = start_session()
@@ -167,7 +171,6 @@ async def test_astream_empty_beginning():
 @pytest.mark.llm
 async def test_computed_mot_raises_error_for_astream():
     """Test that computed mot raises an error for astream() calls."""
-
     # Create a pre-computed thunk
     mot = ModelOutputThunk(value="Hello, world!")
     mot._computed = True
diff --git a/test/core/test_astream_mock.py b/test/core/test_astream_mock.py
new file mode 100644
index 000000000..6700754cb
--- /dev/null
+++ b/test/core/test_astream_mock.py
@@ -0,0 +1,165 @@
+"""Deterministic Mock Tests for ModelOutputThunk.astream() incremental return behavior.
+
+Tests that astream() returns only the incremental content added during each call.
+All astream() chunks concatenated should equal the full final value. Calling
+astream() on a computed MOT raises RuntimeError. Uses manual queue injection to
+bypass LLM calls and network operations, guaranteeing determinism.
+"""
+
+import asyncio
+from typing import Any
+
+import pytest
+
+from mellea.core.base import CBlock, GenerateType, ModelOutputThunk
+
+
+async def mock_process(mot: ModelOutputThunk, chunk: Any) -> None:
+    """Mock process function that simply appends the chunk to the underlying value."""
+    if mot._underlying_value is None:
+        mot._underlying_value = ""
+    if chunk is not None:
+        mot._underlying_value += chunk
+
+
+async def mock_post_process(mot: ModelOutputThunk) -> None:
+    """Mock post-process function (does nothing)."""
+
+
+def create_manual_mock_thunk() -> ModelOutputThunk:
+    """Helper to create a mock ModelOutputThunk where we manually populate the queue."""
+    mot = ModelOutputThunk(value=None)
+    mot._action = CBlock("mock_action")
+    mot._generate_type = GenerateType.ASYNC
+    mot._process = mock_process
+    mot._post_process = mock_post_process
+    mot._chunk_size = 0  # Read exactly what is available
+    return mot
+
+
+@pytest.mark.asyncio
+async def test_astream_returns_incremental_chunks():
+    """Test that astream() returns only new content, not accumulated content."""
+    mot = create_manual_mock_thunk()
+
+    # Drop the first chunk and pull it
+    mot._async_queue.put_nowait("chunk1 ")
+    chunk1 = await mot.astream()
+    assert chunk1 == "chunk1 "
+
+    # Drop the second chunk and pull it
+    mot._async_queue.put_nowait("chunk2 ")
+    chunk2 = await mot.astream()
+    assert chunk2 == "chunk2 "
+
+    # Drop the third chunk and pull it
+    mot._async_queue.put_nowait("chunk3 ")
+    chunk3 = await mot.astream()
+    assert chunk3 == "chunk3 "
+
+    # Send completion sentinel
+    mot._async_queue.put_nowait(None)
+
+    # Wait until fully consumed
+    while not mot.is_computed():
+        await mot.astream()
+
+    final_val = await mot.avalue()
+    assert final_val == "chunk1 chunk2 chunk3 "
+
+
+@pytest.mark.asyncio
+async def test_astream_multiple_calls_accumulate_correctly():
+    """Test that multiple astream() calls accumulate to the final value."""
+    # Simulating a scenario where queue chunks outpace the reading loop
+    mot = create_manual_mock_thunk()
+
+    # Drop multiple items at once to simulate fast network
+    mot._async_queue.put_nowait("c")
+    mot._async_queue.put_nowait("h")
+    mot._async_queue.put_nowait("u")
+
+    # Calling astream should drain all currently queued items ("chu")
+    chunk1 = await mot.astream()
+    assert chunk1 == "chu"
+
+    mot._async_queue.put_nowait("n")
+    mot._async_queue.put_nowait("k")
+    mot._async_queue.put_nowait(None)
+
+    chunk2 = await mot.astream()
+    # astream() returns only the incremental content added during this call
+    assert chunk2 == "nk"
+
+    assert mot.is_computed()
+    # All astream() chunks concatenated should equal the full value
+    assert chunk1 + chunk2 == "chunk"
+    assert mot.value == "chunk"
+
+
+@pytest.mark.asyncio
+async def test_astream_beginning_length_tracking():
+    """Test that beginning_length is correctly tracked across astream calls."""
+    mot = create_manual_mock_thunk()
+
+    mot._async_queue.put_nowait("AAA")
+    chunk1 = await mot.astream()
+    assert chunk1 == "AAA"
+
+    mot._async_queue.put_nowait("BBB")
+    chunk2 = await mot.astream()
+    # verify incremental length tracking works
+    assert not chunk2.startswith(chunk1)
+    assert chunk2 == "BBB"
+
+
+@pytest.mark.asyncio
+async def test_astream_empty_beginning():
+    """Test astream when _underlying_value starts as None."""
+    mot = create_manual_mock_thunk()
+
+    mot._async_queue.put_nowait("First")
+    # At the start, _underlying_value is None, beginning_length is 0
+    chunk = await mot.astream()
+
+    # Because beginning length was 0, astream returns the full chunk
+    assert chunk == "First"
+    assert mot._underlying_value == "First"
+
+
+@pytest.mark.asyncio
+async def test_astream_computed_raises_error():
+    """Test that astream raises RuntimeError when already computed."""
+    # Precomputed thunk is already computed
+    mot = ModelOutputThunk(value="Hello, world!")
+
+    # astream() on a computed MOT now raises RuntimeError
+    with pytest.raises(RuntimeError, match="Streaming has finished"):
+        await mot.astream()
+
+
+@pytest.mark.asyncio
+async def test_astream_final_call_returns_full_value():
+    """Test that the final astream call returns the full value when computed."""
+    mot = create_manual_mock_thunk()
+
+    mot._async_queue.put_nowait("part1")
+    chunk1 = await mot.astream()
+    assert chunk1 == "part1"
+
+    mot._async_queue.put_nowait("part2")
+    chunk2 = await mot.astream()
+    assert chunk2 == "part2"
+
+    mot._async_queue.put_nowait("part3")
+    mot._async_queue.put_nowait(None)
+
+    # Calling astream here processes "part3" and `None`, flagging it as done
+    chunk3 = await mot.astream()
+
+    # The final astream() call returns only the incremental content, not the full value
+    assert chunk3 == "part3"
+
+    # All chunks concatenated equal the full value
+    assert chunk1 + chunk2 + chunk3 == "part1part2part3"
+    assert mot.value == "part1part2part3"
diff --git a/test/formatters/granite/testdata/test_canned_output/model_output/citations.json b/test/formatters/granite/testdata/test_canned_output/model_output/citations.json
index eb5a18c98..12d862ad9 100644
--- a/test/formatters/granite/testdata/test_canned_output/model_output/citations.json
+++ b/test/formatters/granite/testdata/test_canned_output/model_output/citations.json
@@ -6,7 +6,7 @@
       "index": 0,
       "logprobs": null,
       "message": {
-        "content": " [{\"r\": 0, \"c\": [8, 11, 13]}, {\"r\": 1, \"c\": []}]",
+        "content": " [{\"r\": 0, \"c\": [8, 8, 11, 13]}, {\"r\": 0, \"c\": [8, 8, 11, 13]}, {\"r\": 1, \"c\": []}]",
         "refusal": null,
         "role": "assistant",
         "annotations": null,
diff --git a/tooling/docs-autogen/audit_coverage.py b/tooling/docs-autogen/audit_coverage.py
index 772256e4d..28e57fd72 100755
--- a/tooling/docs-autogen/audit_coverage.py
+++ b/tooling/docs-autogen/audit_coverage.py
@@ -215,7 +215,12 @@ def _check_member(member, full_path: str, short_threshold: int) -> list[dict]:
             )
 
     if getattr(member, "is_class", False):
-        # Args section check for classes: look at __init__ typed parameters
+        # Args section check for classes: look at __init__ typed parameters.
+        # Variadic *args/**kwargs are excluded by kind (same logic as function check).
+        _variadic_kinds = {
+            griffe.ParameterKind.var_positional,
+            griffe.ParameterKind.var_keyword,
+        }
         init = member.members.get("__init__")
         if init:
             init_params = getattr(init, "parameters", None)
@@ -223,7 +228,7 @@ def _check_member(member, full_path: str, short_threshold: int) -> list[dict]:
                 p.name
                 for p in (init_params or [])
                 if p.name not in ("self", "cls")
-                and not p.name.startswith("*")
+                and getattr(p, "kind", None) not in _variadic_kinds
                 and p.annotation is not None
             ]
             if typed_params and not _ARGS_RE.search(doc_text):
@@ -238,21 +243,23 @@ def _check_member(member, full_path: str, short_threshold: int) -> list[dict]:
                     }
                 )
 
-        # Attributes section check: flag when public non-method attributes exist
-        pub_attrs = [
-            n
-            for n, m in member.members.items()
-            if not n.startswith("_") and getattr(m, "is_attribute", False)
-        ]
-        if pub_attrs and not _ATTRIBUTES_RE.search(doc_text):
-            sample = ", ".join(pub_attrs[:3]) + ("..." if len(pub_attrs) > 3 else "")
-            issues.append(
-                {
-                    "path": full_path,
-                    "kind": "no_attributes",
-                    "detail": f"public attributes [{sample}] have no Attributes section",
-                }
+            # Duplicate Args check: Option C requires Args: on the class docstring only.
+            # Flag when __init__ has its own Args: section in addition to the class's.
+            init_doc = getattr(init, "docstring", None)
+            init_doc_text = (
+                init_doc.value.strip() if (init_doc and init_doc.value) else ""
             )
+            if _ARGS_RE.search(init_doc_text) and _ARGS_RE.search(doc_text):
+                issues.append(
+                    {
+                        "path": full_path,
+                        "kind": "duplicate_init_args",
+                        "detail": (
+                            "Args: in both class and __init__ docstrings "
+                            "(Option C: place Args: on class docstring only)"
+                        ),
+                    }
+                )
 
     return issues
 
@@ -272,10 +279,15 @@ def audit_docstring_quality(
     - no_args: function with parameters but no Args/Parameters section
     - no_returns: function with a non-trivial return annotation but no Returns section
     - no_raises: function whose source contains raise but has no Raises section
-    - no_class_args: class whose __init__ has typed params but no Args section
-    - no_attributes: class with public attributes but no Attributes section
+    - no_class_args: class whose __init__ has typed params but no Args section on the class
+    - duplicate_init_args: Args: present in both class docstring and __init__ (Option C violation)
     - param_mismatch: Args section documents names absent from the real signature
 
+    Note: Attributes: sections are intentionally not enforced. Under the Option C
+    convention, Attributes: is only used when stored values differ in type or
+    behaviour from the constructor inputs (e.g. type transforms, computed values,
+    class constants). Pure-echo entries that repeat Args: verbatim are omitted.
+
     Only symbols (and methods whose parent class) present in `documented` are
     checked when that set is provided — ensuring the audit is scoped to what is
     actually surfaced in the API reference.
@@ -372,7 +384,7 @@ def _print_quality_report(issues: list[dict]) -> None:
         "no_returns": "Missing Returns section",
         "no_raises": "Missing Raises section",
         "no_class_args": "Missing class Args section",
-        "no_attributes": "Missing Attributes section",
+        "duplicate_init_args": "Duplicate Args: in class + __init__ (Option C violation)",
         "param_mismatch": "Param name mismatches (documented but not in signature)",
     }
 
@@ -389,7 +401,7 @@ def _print_quality_report(issues: list[dict]) -> None:
         "no_returns",
         "no_raises",
         "no_class_args",
-        "no_attributes",
+        "duplicate_init_args",
         "param_mismatch",
     ):
         items = by_kind.get(kind, [])
@@ -498,23 +510,19 @@ def find_documented_symbols(docs_dir: Path) -> set[str]:
         # Read file to find documented symbols
         content = mdx_file.read_text()
 
-        # Look for heading patterns that indicate symbol documentation
-        # The actual format is: ### <span>...FUNC</span> `symbol_name`
-        # or: ### <span>...CLASS</span> `ClassName`
-
-        # Match both old format and new format
-        # Old: ## class Base, ## function generative
-        # New: ### <span>...FUNC</span> `blockify`, ### <span>...CLASS</span> `Component`
-        old_pattern = r"^##\s+(?:class|function|attribute)\s+(\w+)"
-        new_pattern = r"###\s+<span[^>]*>(?:FUNC|CLASS|ATTR)</span>\s+`(\w+)`"
-
-        for match in re.finditer(old_pattern, content, re.MULTILINE):
-            symbol_name = match.group(1)
-            documented.add(f"{module_path}.{symbol_name}")
+        # Look for heading patterns that indicate symbol documentation.
+        # mdxify output format (0.2.37+): ### `SymbolName` <sup>...</sup>
+        # Legacy formats kept for compatibility with older generated files.
+        patterns = [
+            r"^##\s+(?:class|function|attribute)\s+(\w+)",  # very old
+            r"###\s+<span[^>]*>(?:FUNC|CLASS|ATTR)</span>\s+`(\w+)`",  # intermediate
+            r"^###\s+`(\w+)`",  # current mdxify 0.2.37+
+        ]
 
-        for match in re.finditer(new_pattern, content, re.MULTILINE):
-            symbol_name = match.group(1)
-            documented.add(f"{module_path}.{symbol_name}")
+        for pattern in patterns:
+            for match in re.finditer(pattern, content, re.MULTILINE):
+                symbol_name = match.group(1)
+                documented.add(f"{module_path}.{symbol_name}")
 
     return documented
 
diff --git a/tooling/docs-autogen/build.py b/tooling/docs-autogen/build.py
index a8b926086..5a4853634 100755
--- a/tooling/docs-autogen/build.py
+++ b/tooling/docs-autogen/build.py
@@ -48,11 +48,6 @@ def main():
         help="Source repo root to document (default: this repo). "
         "Use to generate docs for a different checkout, e.g. --source-dir ../mellea-b",
     )
-    parser.add_argument(
-        "--no-venv",
-        action="store_true",
-        help="Skip venv creation (pass to generate-ast.py)",
-    )
     parser.add_argument(
         "--skip-generation", action="store_true", help="Skip AST generation"
     )
@@ -79,7 +74,6 @@ def main():
             str(
                 output_dir.parent
             ),  # generate-ast.py expects docs/docs, not docs/docs/api
-            "--no-venv",  # Always use current environment
             "--source-dir",
             str(repo_root),
         ]
@@ -126,7 +120,6 @@ def main():
             str(script_dir / "generate-ast.py"),
             "--docs-root",
             str(output_dir.parent),
-            "--no-venv",
             "--nav-only",
             "--source-dir",
             str(repo_root),
diff --git a/tooling/docs-autogen/generate-ast.py b/tooling/docs-autogen/generate-ast.py
index aeb8976d5..5687eee04 100644
--- a/tooling/docs-autogen/generate-ast.py
+++ b/tooling/docs-autogen/generate-ast.py
@@ -1,31 +1,22 @@
 #!/usr/bin/env python3
-"""generate-ast.py (INSTALL mode, then mdxify + postprocess)
+"""generate-ast.py — mdxify + postprocess docs pipeline.
 
-Key fix vs your prior script:
-  - mdxify is executed with cwd set to a clean temp directory OUTSIDE the repo root,
-    so Python imports the INSTALLED distribution (site-packages) and does not get
-    shadowed by repo-local ./mellea or ./cli packages.
+Runs mdxify against the project's mellea and cli packages then postprocesses
+the generated MDX files into the Mintlify docs tree.
+
+Requires mdxify to be installed in the current Python environment.  Run via::
+
+    uv run python tooling/docs-autogen/generate-ast.py
 
 Pipeline:
-  1) Use current Python environment (assumes mdxify is installed)
-  2) Run mdxify --all for root modules: mellea, cli into STAGING: <repo-root>/docs/api/<pkg>
-  4) Reorganize flat mdxify output into nested folders
-  5) Rename __init__.mdx -> <foldername>.mdx (dedupe if identical)
-  6) Update frontmatter (title/sidebarTitle/description) from H1 + first paragraph
-  7) Remove truly-empty MDX files
-  8) Move generated docs to <docs-root>/api (replace existing)
-  9) Build Mintlify API Reference nav (NO .mdx suffix)
- 10) Merge by replacing ONLY: { "tab": "API Reference", ... } in docs.json
-
-Usage:
-  python3 tooling/docs-autogen/generate-ast.py \
-    --docs-json docs/docs/docs.json \
-    --docs-root docs/docs \
-    --pypi-name mellea \
-    --pypi-version 0.3.0
-
-Notes:
-  - --pypi-version may be "v0.3.0" or "0.3.0". If omitted, installs latest.
+  1) Run mdxify --all for root modules: mellea, cli into STAGING: <repo-root>/docs/api/<pkg>
+  2) Reorganize flat mdxify output into nested folders
+  3) Rename __init__.mdx -> <foldername>.mdx (dedupe if identical)
+  4) Update frontmatter (title/sidebarTitle/description) from H1 + first paragraph
+  5) Remove truly-empty MDX files
+  6) Move generated docs to <docs-root>/api (replace existing)
+  7) Build Mintlify API Reference nav (NO .mdx suffix)
+  8) Merge by replacing ONLY: { "tab": "API Reference", ... } in docs.json
 """
 
 import argparse
@@ -49,9 +40,9 @@
 STAGING_DOCS_ROOT = REPO_ROOT / "docs"
 STAGING_API_DIR = STAGING_DOCS_ROOT / "api"
 
-# Venv + clean run dir (outside import shadowing)
-VENV_DIR = REPO_ROOT / ".venv-docs-autogen"
-MDXIFY_CWD = REPO_ROOT / ".mdxify-run-cwd"  # must NOT contain mellea/ or cli/ packages
+# Clean run dir for mdxify (outside the repo root so repo-local packages
+# cannot shadow site-packages via directory-level import precedence)
+MDXIFY_CWD = REPO_ROOT / ".mdxify-run-cwd"
 
 # If you want explicit link backing, keep repo-url. If you want mdxify auto-detection, omit.
 REPO_URL = "https://github.com/generative-computing/mellea"
@@ -60,14 +51,6 @@
 # -----------------------------
 # Helpers
 # -----------------------------
-def normalize_version(v: str | None) -> str | None:
-    if not v:
-        return None
-    v = v[1:] if v.startswith("v") else v
-    # Return None for branch names or non-version strings (must start with digit)
-    if not v or not v[0].isdigit():
-        return None
-    return v
 
 
 def yaml_quote(value: str | None) -> str:
@@ -158,52 +141,15 @@ def merge_api_reference_into_docs_json(
     print(f"✅ Merged API Reference tab into: {docs_json_path}", flush=True)
 
 
-# -----------------------------
-# Venv + installs
-# -----------------------------
-def ensure_venv() -> Path:
-    if not VENV_DIR.exists():
-        print(f"🧪 Creating venv: {VENV_DIR}", flush=True)
-        subprocess.run([sys.executable, "-m", "venv", str(VENV_DIR)], check=True)
-
-    py = VENV_DIR / ("Scripts" if os.name == "nt" else "bin") / "python"
-    if not py.exists():
-        raise RuntimeError(f"Venv python not found at: {py}")
-    return py
-
-
-def pip_install(venv_python: Path, pypi_name: str, pypi_version: str | None) -> None:
-    ver = normalize_version(pypi_version)
-    # If no version specified, install from local source (for development)
-    # Otherwise install from PyPI with specified version
-    if not ver:
-        spec = "."  # Install from current directory
-        print(
-            f"📦 Installing into venv: mdxify + {pypi_name} (from local source)",
-            flush=True,
-        )
-    else:
-        spec = f"{pypi_name}=={ver}"
-        print(f"📦 Installing into venv: mdxify + {spec}", flush=True)
-
-    subprocess.run([str(venv_python), "-m", "pip", "install", "-U", "pip"], check=True)
-    subprocess.run(
-        [str(venv_python), "-m", "pip", "install", "-U", "mdxify", spec],
-        check=True,
-        cwd=str(REPO_ROOT) if not ver else None,
-    )
-
-
 # -----------------------------
 # mdxify generation
 # -----------------------------
-def run_mdxify_generation(
-    venv_python: Path, root_module: str, source_root: Path | None = None
-) -> None:
+def run_mdxify_generation(root_module: str, source_root: Path | None = None) -> None:
     output_dir = STAGING_API_DIR / root_module
     output_dir.mkdir(parents=True, exist_ok=True)
 
-    # Critical: run mdxify from a clean cwd so repo-local packages don't shadow site-packages
+    # Run mdxify from a clean cwd so repo-local source directories don't take
+    # precedence over site-packages via directory-level import shadowing.
     if MDXIFY_CWD.exists():
         shutil.rmtree(MDXIFY_CWD)
     MDXIFY_CWD.mkdir(parents=True, exist_ok=True)
@@ -214,7 +160,7 @@ def run_mdxify_generation(
     )
 
     cmd = [
-        str(venv_python),
+        sys.executable,
         "-m",
         "mdxify",
         "--all",
@@ -230,12 +176,14 @@ def run_mdxify_generation(
 
     env = os.environ.copy()
     if source_root is not None:
-        # Point mdxify at the external source tree so it imports the right package.
-        # We set PYTHONPATH rather than clearing it so the venv site-packages
-        # (mdxify itself) remain importable.
-        env["PYTHONPATH"] = str(source_root)
+        # Point mdxify at an external source tree (--source-dir).
+        # Prepend it to PYTHONPATH so it takes precedence over any installed copy.
+        existing = env.get("PYTHONPATH", "")
+        env["PYTHONPATH"] = (
+            f"{source_root}:{existing}" if existing else str(source_root)
+        )
     else:
-        # Default: clear PYTHONPATH so the repo-local packages don't shadow site-packages
+        # Default: drop PYTHONPATH so no repo-local directory shadows site-packages.
         env.pop("PYTHONPATH", None)
 
     subprocess.run(cmd, check=True, text=True, cwd=str(MDXIFY_CWD), env=env)
@@ -751,7 +699,7 @@ def build_and_merge_navigation(
 # -----------------------------
 def main() -> None:
     parser = argparse.ArgumentParser(
-        description="Install mellea + mdxify in a venv, generate MDX API docs, postprocess, move to docs root, merge nav."
+        description="Generate MDX API docs with mdxify, postprocess, and merge into the Mintlify docs tree."
     )
     parser.add_argument(
         "--docs-json", required=False, help="Path to docs.json to update."
@@ -761,21 +709,6 @@ def main() -> None:
         required=False,
         help="Mintlify docs root (defaults to parent of docs.json).",
     )
-    parser.add_argument(
-        "--pypi-name",
-        default="mellea",
-        help="PyPI project name to install (default: mellea).",
-    )
-    parser.add_argument(
-        "--pypi-version",
-        required=False,
-        help="Version like v0.3.0 or 0.3.0. Omit for latest.",
-    )
-    parser.add_argument(
-        "--no-venv",
-        action="store_true",
-        help="Skip virtual environment creation (use when called via 'uv run --with').",
-    )
     parser.add_argument(
         "--nav-only",
         action="store_true",
@@ -828,18 +761,9 @@ def main() -> None:
         shutil.rmtree(STAGING_API_DIR)
     STAGING_API_DIR.mkdir(parents=True, exist_ok=True)
 
-    if args.no_venv:
-        print("⚠️ Skipping venv creation (--no-venv flag set)", flush=True)
-        venv_python = Path(sys.executable)
-    else:
-        venv_python = ensure_venv()
-        pip_install(venv_python, args.pypi_name, args.pypi_version)
-
-    # Generate MDX into staging (critical cwd fix inside run_mdxify_generation)
+    # Generate MDX into staging (clean cwd inside run_mdxify_generation)
     for pkg in PACKAGES:
-        run_mdxify_generation(
-            venv_python, pkg, source_root if source_root != REPO_ROOT else None
-        )
+        run_mdxify_generation(pkg, source_root if source_root != REPO_ROOT else None)
 
     # Restructure + cleanup in staging
     reorganize_to_nested_structure()
diff --git a/uv.lock b/uv.lock
index 1625dbecf..0a9682778 100644
--- a/uv.lock
+++ b/uv.lock
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 ]
 
+[[package]]
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+version = "0.8.1"
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+]
+
 [[package]]
 name = "litellm"
 version = "1.82.2"

From 9d54119f7183ab12e23f208f15b9ca0e79867205 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 17 Mar 2026 07:04:50 +0000
Subject: [PATCH 35/38] upd: pre-commit check

---
 cli/decompose/pipeline.py | 1 -
 mellea/stdlib/session.py  | 3 ++-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/cli/decompose/pipeline.py b/cli/decompose/pipeline.py
index f9f451487..1ee20246c 100644
--- a/cli/decompose/pipeline.py
+++ b/cli/decompose/pipeline.py
@@ -448,7 +448,6 @@ def decompose(
         templates, constraint assignments, and dependency information.
     """
 
-
     configure_logging(log_mode)
     logger = get_logger("m_decompose.pipeline")
     log_section(logger, "m_decompose pipeline")
diff --git a/mellea/stdlib/session.py b/mellea/stdlib/session.py
index a69936991..21b9c8862 100644
--- a/mellea/stdlib/session.py
+++ b/mellea/stdlib/session.py
@@ -264,6 +264,7 @@ def __init__(self, backend: Backend, ctx: Context | None = None):
             ctx (Context): The way in which the model's context will be used. By default, we use SimpleContext as the default.
         """
         import uuid
+
         self.id = str(uuid.uuid4())
         self.backend = backend
         self.ctx: Context = ctx if ctx is not None else SimpleContext()
@@ -359,7 +360,7 @@ def cleanup(self) -> None:
             from ..plugins.manager import deregister_session_plugins
 
             deregister_session_plugins(self.id)
-            
+
         if hasattr(self.backend, "close"):
             self.backend.close()  # type: ignore
 

From 08e8a193539d4a16d995aa9eefec52a5324aff70 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 17 Mar 2026 07:13:56 +0000
Subject: [PATCH 36/38] add: logging config

---
 cli/decompose/decompose.py | 13 +++----------
 1 file changed, 3 insertions(+), 10 deletions(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 11f08946b..054eda238 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -1,13 +1,3 @@
-# decompose/decompose.py
-"""Implementation of the ``m decompose run`` CLI command.
-
-Accepts a task prompt (from a text file or interactive input), calls the multi-step
-LLM decomposition pipeline to produce a structured list of subtasks each with
-constraints and inter-subtask dependencies, then validates and topologically reorders
-the subtasks before writing a JSON result file and a rendered Python script to the
-specified output directory.
-"""
-
 import json
 import keyword
 import re
@@ -198,6 +188,9 @@ def run(
     ] = LogMode.demo,
 ) -> None:
     """Runs the decomposition pipeline."""
+    configure_logging(log_mode)
+    logger = get_logger("m_decompose.cli")
+    
     try:
         from jinja2 import Environment, FileSystemLoader
 

From 4d54a81116db943b950c55d049e42cbe2c5814e5 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 17 Mar 2026 07:14:55 +0000
Subject: [PATCH 37/38] add: pre-commit format

---
 cli/decompose/decompose.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cli/decompose/decompose.py b/cli/decompose/decompose.py
index 054eda238..b34f02043 100644
--- a/cli/decompose/decompose.py
+++ b/cli/decompose/decompose.py
@@ -190,7 +190,7 @@ def run(
     """Runs the decomposition pipeline."""
     configure_logging(log_mode)
     logger = get_logger("m_decompose.cli")
-    
+
     try:
         from jinja2 import Environment, FileSystemLoader
 

From 904b04b63462fa2afb5dba8ce931ac45bc8de0d2 Mon Sep 17 00:00:00 2001
From: csbobby <phdbobbywu@gmail.com>
Date: Tue, 17 Mar 2026 16:59:01 +0000
Subject: [PATCH 38/38] fix: merge conflict changes from the Mellea main

---
 docs/dev/hook_system.md | 139 ++++++++++++++++++++++++++++++++++++++++
 mellea/core/base.py     |  78 +++++++++++++++++-----
 2 files changed, 202 insertions(+), 15 deletions(-)
 create mode 100644 docs/dev/hook_system.md

diff --git a/docs/dev/hook_system.md b/docs/dev/hook_system.md
new file mode 100644
index 000000000..546c9b94d
--- /dev/null
+++ b/docs/dev/hook_system.md
@@ -0,0 +1,139 @@
+# Mellea Plugin Hook System — Internal Design Notes
+
+> **User-facing documentation:** [Plugins & Hooks](../../docs/docs/concepts/plugins.mdx) covers usage, registration, execution modes, hook types reference, and patterns. This file retains only internal design rationale and decisions for contributors.
+
+---
+
+## Design principles
+
+1. **Consistent interface**: All hooks follow the same async pattern with payload and context parameters
+2. **Composable**: Multiple plugins can register for the same hook, executing in priority order
+3. **Fail-safe**: Hook failures can be handled gracefully without breaking core execution
+4. **Minimal intrusion**: Plugins are opt-in; default Mellea behavior remains unchanged without plugins. Plugins work identically whether invoked through a session (`m.instruct(...)`) or via the functional API (`instruct(backend, context, ...)`)
+5. **Architecturally aligned**: Hook categories reflect Mellea's true abstraction boundaries — Session lifecycle, Component lifecycle, and the (Backend, Context) generation pipeline
+6. **Code-first**: Plugins are defined and composed in Python. The `@hook` decorator and `Plugin` base class are the primary registration mechanisms; YAML configuration is a secondary option for deployment-time overrides
+7. **Functions-first**: The simplest plugin is a plain async function decorated with `@hook`. Class-based plugins (via the `Plugin` base class) exist for stateful, multi-hook scenarios but are not required
+
+---
+
+## Concurrency model
+
+Hooks use Python's `async`/`await` cooperative multitasking. Because Python's event loop only switches execution at `await` points, hook code won't be interrupted mid-logic. This means:
+
+- **Sequential when awaited**: Calling `await hook(...)` keeps control flow deterministic — the hook completes before the caller continues.
+- **Race conditions only at `await` points**: Shared state is safe to read and write between `await` calls within a single hook. Races only arise if multiple hooks modify the same shared state and are dispatched concurrently.
+- **No preemptive interruption**: Unlike threads, a hook handler runs uninterrupted until it yields control via `await`.
+
+---
+
+## Hook invocation responsibilities
+
+Hooks are called from Mellea's base classes (`Component.aact()`, `Backend.generate()`, `SamplingStrategy.run()`, etc.). This means hook invocation is a framework-level concern, and authors of new backends, sampling strategies, or components do not need to manually insert hook calls.
+
+The caller (the base class method) is responsible for both invoking the hook and processing the result. Processing means checking the result for one of three possible outcomes:
+
+1. **Continue with original payload** — `PluginResult(continue_processing=True)` with no `modified_payload`. The caller proceeds unchanged.
+2. **Continue with modified payload** — `PluginResult(continue_processing=True, modified_payload=...)`. The plugin manager applies the hook's payload policy, accepting only changes to writable fields and discarding unauthorized modifications. The caller uses the policy-filtered payload in place of the original.
+3. **Block execution** — `PluginResult(continue_processing=False, violation=...)`. The caller raises or returns early with structured error information.
+
+Hooks cannot redirect control flow, jump to arbitrary code, or alter the calling method's logic beyond these outcomes. This is enforced by the `PluginResult` type.
+
+---
+
+## Payload design principles
+
+1. **Strongly typed** — Each hook has a dedicated payload dataclass (not a generic dict). This enables IDE autocompletion, static analysis, and clear documentation of what each hook receives.
+2. **Sufficient (maximize-at-boundary)** — Each payload includes everything available at that point in time. Post-hooks include the pre-hook fields plus results. This avoids forcing plugins to maintain their own state across pre/post pairs.
+3. **Frozen (immutable)** — Payloads are frozen Pydantic models (`model_config = ConfigDict(frozen=True)`). Plugins cannot mutate payload attributes in place. To propose changes, plugins must call `payload.model_copy(update={...})` and return the copy via `PluginResult.modified_payload`. This ensures every modification is explicit and flows through the policy system.
+4. **Policy-controlled** — Each hook type declares a `HookPayloadPolicy` specifying which fields are writable. The plugin manager applies the policy after each plugin returns, accepting only changes to writable fields and silently discarding unauthorized modifications. This separates "what the plugin can observe" from "what the plugin can change" — and enforces it at the framework level.
+5. **Serializable** — Payloads should be serializable for external (MCP-based) plugins that run out-of-process. All payload fields use types that can round-trip through JSON or similar formats.
+6. **Versioned** — Payload schemas carry a `payload_version` so plugins can detect incompatible changes at registration time rather than at runtime.
+7. **Isolation** — Each plugin receives a copy-on-write (CoW) snapshot of the payload. Mutable containers (dicts, lists) are wrapped so mutations in one plugin do not affect others. Plugins should not cache payloads beyond the hook invocation — payload fields reference live framework objects (`Context`, `Component`, `MelleaSession`) whose lifecycle is managed by the framework.
+
+---
+
+## GlobalContext design (ambient metadata)
+
+The `GlobalContext` passed to hooks carries lightweight, cross-cutting ambient metadata that is useful to every hook regardless of type. Hook-specific data (context, session, action, etc.) belongs on the **typed payload**, not on the global context.
+
+### What goes in GlobalContext
+
+```python
+# GlobalContext.state — same for all hook types
+backend_name: str                  # Derived from backend.model_id (when backend is passed)
+```
+
+The `backend_name` is a lightweight string extracted from `backend.model_id`. The full `backend` and `session` objects are **not** stored in GlobalContext — this avoids giving plugins unchecked mutable access to core framework objects.
+
+### Design rationale
+
+Previously, `context`, `session`, and `backend` were passed both on payloads and in `GlobalContext.state`, creating duplication. The same mutable object accessible via two paths was a footgun — plugins could be confused about which to read/modify. The refactored design:
+
+1. **Payloads** are the primary API surface — typed, documented, policy-controlled
+2. **GlobalContext** holds only truly ambient metadata (`backend_name`) that doesn't belong on any specific payload
+3. No mutable framework objects (`Backend`, `MelleaSession`, `Context`) are stored in GlobalContext
+
+---
+
+## Design decision: separate success/error hooks
+
+`component_post_success` and `component_post_error` are separate hooks rather than a single `component_post` with a sum type over success/failure. The reasons are:
+
+1. **Registration granularity** — Plugins subscribe to only what they need. An audit logger may only care about errors; a metrics collector may only care about successes.
+2. **Distinct payload shapes** — Success payloads carry `result`, `generate_log`, and `sampling_results`; error payloads carry `exception`, `error_type`, and `stack_trace`. A sum type would force nullable fields or tagged unions, adding complexity for every consumer.
+3. **Different execution modes** — Error hooks may be fire-and-forget (for alerting); success hooks may be blocking (for output transformation). Separate hooks allow per-hook execution timing configuration.
+
+---
+
+## Design decision: component_pre_create / component_post_create deferral
+
+`component_pre_create` and `component_post_create` are not implemented. `Component` is currently a `Protocol`, not an abstract base class. This means Mellea has no ownership over component initialization: there are no guarantees about when or how subclass `__init__` methods run, and there is no single interception point that covers all `Component` implementations.
+
+Placing hook calls inside `Instruction.__init__` and `Message.__init__` works for those specific classes, but it is fragile (any user-defined `Component` subclass is invisible to the hooks) and architecturally wrong (the hook system should not need to be threaded manually into every `__init__`).
+
+If `Component` were refactored to an abstract base class, Mellea could wrap `__init__` at the ABC level and fire these hooks generically for all subclasses. Until then, use `component_pre_execute` for pre-execution policy enforcement.
+
+---
+
+## Unimplemented hooks
+
+The following hooks are designed but not yet implemented. They are included in the design for completeness and may be implemented as demand arises.
+
+| Hook Point | Category | Notes |
+| --- | --- | --- |
+| `component_pre_create` | Component Lifecycle | Blocked on Component-as-ABC refactoring (see above) |
+| `component_post_create` | Component Lifecycle | Blocked on Component-as-ABC refactoring (see above) |
+| `generation_stream_chunk` | Generation Pipeline | Per-chunk interception during streaming |
+| `adapter_pre_load` | Backend Adapter Ops | Before `backend.load_adapter()` |
+| `adapter_post_load` | Backend Adapter Ops | After adapter loaded |
+| `adapter_pre_unload` | Backend Adapter Ops | Before `backend.unload_adapter()` |
+| `adapter_post_unload` | Backend Adapter Ops | After adapter unloaded |
+| `context_update` | Context Operations | When context changes (append/reset) |
+| `context_prune` | Context Operations | When context is trimmed for token budget |
+| `error_occurred` | Error Handling | Cross-cutting hook for unrecoverable errors |
+
+---
+
+## Scoping implementation
+
+A single `PluginManager` instance manages all plugins. Plugins are tagged with an optional `session_id`. At dispatch time, the manager filters: global plugins (no session tag) always run; session-tagged plugins run only when the dispatch context matches their session ID.
+
+With-block scopes use the same `session_id` tagging mechanism. Each `with` block gets a unique UUID scope ID; the plugin manager filters plugins by scope ID at dispatch time and deregisters them by scope ID on exit.
+
+---
+
+## YAML configuration (secondary)
+
+For deployment-time configuration, plugins can be loaded from YAML. This is useful for enabling/disabling plugins or changing priorities without code changes. The `disabled` mode (`PluginMode.DISABLED`) is available in YAML configuration for deployment-time control but is not exposed in Mellea's public `PluginMode` enum.
+
+---
+
+## Custom hook types
+
+The plugin framework supports custom hook types for domain-specific extension points beyond the built-in lifecycle hooks. This is particularly relevant for agentic patterns (ReAct, tool-use loops, etc.) where the execution flow is application-defined. Custom hooks use the same `@hook` decorator and follow the same calling convention, payload chaining, and result semantics. As agentic patterns stabilize in Mellea, frequently-used custom hooks may be promoted to built-in hooks.
+
+---
+
+## Functional API support
+
+The functional API (`instruct(backend, context, ...)`) does not require a session. Hooks still fire at the same execution points. If global plugins are registered, they execute. If no plugins are registered, hooks are no-ops with zero overhead. Session-scoped plugins do not apply because there is no session.
diff --git a/mellea/core/base.py b/mellea/core/base.py
index 669cf4b93..cf6603c00 100644
--- a/mellea/core/base.py
+++ b/mellea/core/base.py
@@ -17,6 +17,7 @@
 import binascii
 import datetime
 import enum
+import time
 from collections.abc import Callable, Coroutine, Iterable, Mapping
 from copy import copy, deepcopy
 from dataclasses import dataclass
@@ -26,6 +27,9 @@
 import typing_extensions
 from PIL import Image as PILImage
 
+from ..plugins.manager import has_plugins, invoke_hook
+from ..plugins.types import HookType
+
 
 class CBlock:
     """A `CBlock` is a block of content that can serve as input to or output from an LLM.
@@ -60,15 +64,15 @@ def value(self) -> str | None:
         return self._underlying_value
 
     @value.setter
-    def value(self, v: str):
+    def value(self, v: str) -> None:
         """Sets the value of the block."""
         self._underlying_value = v
 
-    def __str__(self):
+    def __str__(self) -> str:
         """Stringifies the block."""
         return self.value if self.value else ""
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         """Provides a python-parsable representation of the block (usually)."""
         return f"CBlock({self.value}, {self._meta.__repr__()})"
 
@@ -165,7 +169,7 @@ def from_pil_image(
         image_base64 = cls.pil_to_base64(image)
         return cls(image_base64, meta)
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         """Provides a python-parsable representation of the block (usually)."""
         return f"ImageBlock({self.value}, {self._meta.__repr__()})"
 
@@ -298,11 +302,31 @@ def __init__(
         )
         self._process: Callable[[ModelOutputThunk, Any], Coroutine] | None = None
         self._post_process: Callable[[ModelOutputThunk], Coroutine] | None = None
+        self._on_computed: Callable[[ModelOutputThunk], Coroutine] | None = None
 
+        self._start: datetime.datetime | None = None
         self._generate_log: GenerateLog | None = None
 
-    def is_computed(self):
-        """Returns true only if this Thunk has already been filled."""
+    def _copy_from(self, other: ModelOutputThunk) -> None:
+        """Copy computed-output fields from *other* into *self*.
+
+        This is used when a hook replaces the MOT: callers already hold a
+        reference to *self*, so we swap the output-relevant state in-place
+        rather than replacing the object.
+        """
+        self._underlying_value = other._underlying_value
+        self._meta = other._meta
+        self.parsed_repr = other.parsed_repr
+        self.tool_calls = other.tool_calls
+        self._thinking = other._thinking
+        self._generate_log = other._generate_log
+
+    def is_computed(self) -> bool:
+        """Returns true only if this Thunk has already been filled.
+
+        Returns:
+            ``True`` if the thunk value has been set, ``False`` otherwise.
+        """
         return self._computed
 
     @property
@@ -313,7 +337,7 @@ def value(self) -> str | None:
         return self._underlying_value
 
     @value.setter
-    def value(self, v: str):
+    def value(self, v: str) -> None:
         """Sets the value of the block."""
         self._underlying_value = v
 
@@ -363,8 +387,9 @@ async def astream(self) -> str:
             RuntimeError: If called when the ModelOutputThunk's generate function is not async compatible.
         """
         if self._computed:
-            assert self.value is not None  # If computed, the value cannot be None.
-            return self.value
+            raise RuntimeError(
+                "Streaming has finished and MOT is computed. Subsequent calls to mot.astream() are not permitted."
+            )
 
         do_set_computed = False
 
@@ -454,7 +479,27 @@ async def astream(self) -> str:
             assert self.parsed_repr is not None, (
                 "enforce constraint that a computed ModelOutputThunk has a non-None parsed_repr"
             )
-            return self._underlying_value  # type: ignore
+
+            # --- generation_post_call hook ---
+            if has_plugins(HookType.GENERATION_POST_CALL):
+                from ..plugins.hooks.generation import GenerationPostCallPayload
+
+                glog = self._generate_log
+                prompt = glog.prompt if glog and glog.prompt else ""
+                latency_ms = (
+                    (datetime.datetime.now() - self._start).total_seconds() * 1000
+                    if self._start
+                    else -1
+                )
+                post_payload = GenerationPostCallPayload(
+                    prompt=prompt, model_output=self, latency_ms=latency_ms
+                )
+                await invoke_hook(HookType.GENERATION_POST_CALL, post_payload)
+                # NOTE: If we allow generation_post_call to modify the model output thunk, we need to
+                # set the value and copy over fields here.
+                # replacement = await invoke_hook(...)
+                # if replacement is not None and replacement is not self:
+                #     self._copy_from(replacement)
 
         return (
             self._underlying_value
@@ -462,14 +507,14 @@ async def astream(self) -> str:
             else self._underlying_value[beginning_length:]  # type: ignore
         )
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         """Provides a python-parsable representation (usually).
 
         Differs from CBlock because `._meta` can be very large for ModelOutputThunks.
         """
         return f"ModelOutputThunk({self.value})"
 
-    def __copy__(self):
+    def __copy__(self) -> ModelOutputThunk:
         """Returns a shallow copy of the ModelOutputThunk. A copied ModelOutputThunk cannot be used for generation; don't copy over fields associated with generating."""
         copied = ModelOutputThunk(
             self._underlying_value, self._meta, self.parsed_repr, self.tool_calls
@@ -489,7 +534,7 @@ def __copy__(self):
         copied._model_options = self._model_options
         return copied
 
-    def __deepcopy__(self, memo):
+    def __deepcopy__(self, memo: dict) -> ModelOutputThunk:
         """Returns a deep copy of the ModelOutputThunk. A copied ModelOutputThunk cannot be used for generation; don't copy over fields associated with generation. Similar to __copy__ but creates deepcopies of _meta, parsed_repr, and most other fields that are objects."""
         # Use __init__ to initialize all fields. Modify the fields that need to be copied/deepcopied below.
         deepcopied = ModelOutputThunk(self._underlying_value)
@@ -557,7 +602,7 @@ class Context(abc.ABC):
     _is_root: bool
     _is_chat_context: bool = True
 
-    def __init__(self):
+    def __init__(self) -> None:
         """Constructs a new root context with no content."""
         self._previous = None
         self._data = None
@@ -693,10 +738,13 @@ def last_output(self, check_last_n_components: int = 3) -> ModelOutputThunk | No
                 return c
         return None
 
-    def last_turn(self):
+    def last_turn(self) -> ContextTurn | None:
         """The last input/output turn of the context.
 
         This can be partial. If the last event is an input, then the output is None.
+
+        Returns:
+            The most recent turn, or ``None`` if the context is empty.
         """
         history = self.as_list(last_n_components=2)