🎯 Project Tracker: Arctic Text2SQL Implementation

[Sakeeb91]

Arctic Text2SQL - Master Project Tracker

This meta-issue tracks the overall progress of the Arctic Text2SQL project implementation. All work is organized into 7 phases, with Phase 7 tracking the v2.0 roadmap.

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Project Overview

Goal: Build a production-grade Natural Language to SQL API using Snowflake's Arctic-Text2SQL-R1 model with agent-based self-correction

Tech Stack:

• ML Model: Snowflake/Arctic-Text2SQL-R1-7B (HuggingFace)
• Agent Framework: HuggingFace smolagents
• API Framework: FastAPI (Python 3.10+)
• Database: PostgreSQL (prod), SQLite (dev), Multi-Database Support
• Model Serving: Transformers + PyTorch
• Caching: Redis with in-memory fallback
• Deployment: Docker + GitHub Actions CI/CD

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Implementation Phases

✅ Phase 1: Foundation & Infrastructure

Status: ✅ Complete (4/4)

• Issue Phase 1.1: Project Setup & Environment Configuration #1: Project Setup & Environment Configuration ✅
• Issue Phase 1.2: Database Layer Architecture #2: Database Layer Architecture ✅
• Issue Phase 1.3: HuggingFace Model Integration #3: HuggingFace Model Integration ✅
• Issue Phase 1.4: Core Text2SQL Engine #4: Core Text2SQL Engine ✅

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✅ Phase 1.5: Agent Framework

Status: ✅ Complete (1/1)

• Issue 🤖 Phase 1.5: Implement smolagents Agent Framework (CRITICAL UPGRADE) #18: smolagents Agent Framework ✅
  • Multi-step reasoning with ReAct framework
  • Self-correction capabilities
  • +50-70% accuracy improvement on complex queries

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✅ Phase 2: API Layer & Security

Status: ✅ Complete (4/4)

• Issue Phase 2.1: FastAPI REST API Implementation #5: FastAPI REST API Implementation ✅
• Issue Phase 2.2: Security Implementation #6: Security Implementation ✅
• Issue Phase 2.3: Error Handling & Resilience #7: Error Handling & Resilience ✅
• Issue 🔍 Phase 2.4: Output Validation & Semantic Checking #19: Output Validation & Semantic Checking ✅

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✅ Phase 3: Optimization & Scaling

Status: ✅ Complete (4/4)

• Issue Phase 3.1: Performance Optimization #8: Performance Optimization ✅
  • Redis caching with in-memory fallback
  • SSE streaming for large results
  • Parallel batch processing
  • Docker build optimization (17min → 3-5min cached)
• Issue Phase 3.2: Monitoring & Observability #9: Monitoring & Observability ✅
  • Prometheus metrics collection
  • OpenTelemetry distributed tracing
  • Grafana dashboards
  • Alertmanager integration
• Issue Phase 3.3: Testing Strategy #10: Testing Strategy ✅
• Issue 📊 Phase 3.4: ReAct Chain-of-Thought Logging #20: ReAct Chain-of-Thought Logging ✅

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✅ Phase 4: Production Deployment

Status: ✅ Complete (3/3)

• Issue Phase 4.1: Containerization #11: Containerization ✅
• Issue Phase 4.2: CI/CD Pipeline #12: CI/CD Pipeline ✅
  • GitHub Actions workflows
  • Automated testing and linting
  • Docker build and push
  • Staging/production deployments
• Issue Phase 4.3: Deployment Architecture #13: Deployment Architecture ✅
  • Load balancing (Nginx)
  • Database replication (PostgreSQL HA)
  • Auto-scaling (Kubernetes HPA)
  • CDN configuration
  • Operational runbooks

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✅ Phase 5: Advanced Features

Status: ✅ Complete (3/3)

• Issue Phase 5.1: Multi-Database Support #14: Multi-Database Support ✅ COMPLETED (2025-12-19)
  • Database registry system
  • SQL dialect adapters (PostgreSQL, MySQL, SQLite, SQL Server, MariaDB)
  • Database health monitoring
  • Database management API
• Issue Phase 5.2: Query Explanation & Visualization #15: Query Explanation & Visualization ✅ COMPLETED (2025-12-19)
  • Natural language SQL explanations
  • Step-by-step query breakdown with clause analysis
  • Complexity scoring and metrics (simple → very_complex)
  • Query visualization (ASCII, Mermaid, JSON, HTML)
  • Optimization hints and suggestions
  • Caching with TTL expiration
• Issue Phase 5.3: Few-Shot Learning & Fine-Tuning #16: Few-Shot Learning & Fine-Tuning ✅ COMPLETED (2025-12-19)

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✅ Phase 6: Post-v1 Enhancements

Status: ✅ Complete (4/4)

Post-production refinements addressing integration gaps and hardening security/observability.

• Issue Fix streaming to execute generated SQL #32: Fix streaming to execute generated SQL ✅ COMPLETED (2025-12-22)
  • Refactored streaming to execute via SafeQueryExecutor (no re-generation)
  • Added batch iterator for both agent and legacy paths
  • Comprehensive test coverage for streaming edge cases
• Issue Implement real auth, rate limiting, and mutation policy #33: Implement real auth, rate limiting, and mutation policy ✅ COMPLETED (2025-12-22)
  • JWT + API key authentication with scopes
  • Redis-backed rate limiting (with memory fallback)
  • All routes protected with require_auth / require_mutation_scope
  • X-RateLimit headers enabled
• Issue Integrate metrics/tracing/caching and upgrade semantic validation #34: Integrate metrics/tracing/caching and upgrade semantic validation ✅ COMPLETED (2025-12-22)
  • CacheManager integrated into inference/agent hot paths
  • Schema and prompt caching with TTL
  • ModelInstrumentor wired into InferenceEngine
  • Semantic validation warnings (aggregate, join, top/limit patterns)
• Issue Wire multi-DB routing and schema registry #31: Wire multi-DB routing and schema registry ✅ COMPLETED (2025-12-22)
  • /schema/register endpoint fully implemented
  • Engines resolve database context via registry
  • Schema caching per database_id
  • Multi-DB setup documentation added

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🔄 Phase 7: V2.0 Roadmap

Status: 🔄 Planned (0/5)

High-priority features for the next major version.

• Issue [HIGH] End-to-End Integration Tests with Real Model and Database #43: End-to-End Integration Tests 🔴
  • Real model + real database tests (not mocked)
  • E2E test suite for full pipeline validation
  • Performance benchmarks in CI
• Issue [HIGH] Benchmarking Suite for Accuracy Tracking (Spider, WikiSQL) #44: Benchmarking Suite 🔴
  • Standard dataset support (Spider, WikiSQL, BIRD)
  • Accuracy tracking and regression detection
  • Historical comparison and reporting
• Issue [HIGH] Query Feedback Loop - Learn from User Corrections #45: Query Feedback Loop 🔴
  • Learn from user corrections
  • Promote verified feedback to few-shot examples
  • Fine-tuning data aggregation
• Issue [HIGH] Admin UI/Dashboard for Database and Query Management #46: Admin UI/Dashboard 🔴
  • Web-based database management
  • Query explorer and playground
  • Feedback review queue
  • Embedded metrics and monitoring
• Issue [HIGH] Official SDK Packages for Python and TypeScript #47: Official SDK Packages 🔴
  • Python SDK (PyPI)
  • TypeScript SDK (npm)
  • Auto-generated from OpenAPI

Additional roadmap items: See FUTURE_ENHANCEMENTS.md

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Overall Progress

Total Issues: 29 (24 complete + 5 roadmap)
Completed: 24 (83%)
In Progress: 0
Planned: 5 (17%)

Progress by Phase

Phase	Status	Progress
Phase 1 (Foundation)	✅ Complete	4/4 (100%)
Phase 1.5 (Agent Framework)	✅ Complete	1/1 (100%)
Phase 2 (API & Security)	✅ Complete	4/4 (100%)
Phase 3 (Optimization)	✅ Complete	4/4 (100%)
Phase 4 (Deployment)	✅ Complete	3/3 (100%)
Phase 5 (Advanced)	✅ Complete	3/3 (100%)
Phase 6 (Post-v1)	✅ Complete	4/4 (100%)
Phase 7 (V2 Roadmap)	🔄 Planned	0/5 (0%)

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🎯 Recommended Next Steps

Priority Order

1. Issue [HIGH] End-to-End Integration Tests with Real Model and Database #43: E2E Integration Tests - Validate real pipeline behavior
2. Issue [HIGH] Benchmarking Suite for Accuracy Tracking (Spider, WikiSQL) #44: Benchmarking Suite - Quantify and track accuracy
3. Issue [HIGH] Official SDK Packages for Python and TypeScript #47: SDK Packages - Lower barrier to adoption
4. Issue [HIGH] Query Feedback Loop - Learn from User Corrections #45: Feedback Loop - Enable continuous improvement
5. Issue [HIGH] Admin UI/Dashboard for Database and Query Management #46: Admin UI - Improve operational experience

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Recently Completed

Issue/Doc	Title	Date
📄 Future Enhancements	Medium/low priority roadmap items	2025-12-22
📄 User Guide	End-user guide for natural language queries	2025-12-22
📄 Workflow Guide	Developer integration patterns and workflows	2025-12-22
#31	Wire multi-DB routing and schema registry	2025-12-22
#34	Integrate metrics/tracing/caching and upgrade semantic validation	2025-12-22
#33	Implement real auth, rate limiting, and mutation policy	2025-12-22
#32	Fix streaming to execute generated SQL	2025-12-22
#16	Few-Shot Learning & Fine-Tuning	2025-12-19
#15	Query Explanation & Visualization	2025-12-19
#14	Multi-Database Support	2025-12-19
#13	Deployment Architecture	2025-12-19
#9	Monitoring & Observability	2025-12-19

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Documentation

Document	Audience	Description
User Guide	End Users	How to ask questions, understand results, best practices
Workflow Guide	Developers	API integration, SDKs, pipelines, error handling
API Reference	Developers	Complete endpoint documentation
Configuration	DevOps	Environment variables and options
Deployment	DevOps	Docker, Kubernetes, production
Troubleshooting	All	Common issues and solutions
Future Enhancements	All	Medium/low priority roadmap

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Quick Links

• README
• CLAUDE.md
• Deployment Architecture
• Runbooks

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Last Updated: 2025-12-22
Project Status: 🟢 Production Ready | 🔄 V2 Roadmap Active
Next Priority: E2E Integration Tests (#43)

[Sakeeb91]

🎉 Issue #18 Completed: smolagents Agent Framework

Issue #18 has been fully implemented and closed.

Summary of Changes

New Agent Module (app/agent/):

• models.py - AgentResult, AgentStep, QueryHistoryEntry, ValidationResult, etc.
• tools.py - SQL executor, result validator, schema inspector tools
• engine.py - AgentText2SQL with ReAct loop

Key Features:

1. ReAct framework with multi-step reasoning
2. Self-correction based on validation feedback
3. Query history and retry functionality
4. Full reasoning trace API endpoints

Tests:

• 74 new unit tests across 3 test files

Commits: 19 logical commits

CI Status:

• Security Scan: ✅ Passed
• Lint & Format: ✅ Passed
• Tests: ⏳ In progress (ML dependency installation)

Updated Project Status

Issue	Description	Status
#4	Core Text2SQL Engine	✅ COMPLETED
#18	smolagents Agent Framework	✅ COMPLETED
#12	CI/CD Pipeline	🔄 In Progress
#6	Production Deployment	⏳ Planned

[Sakeeb91]

📊 Status Update (2025-12-15)

Issues Closed Today

• ✅ Issue 🔍 Phase 2.4: Output Validation & Semantic Checking #19: Output Validation & Semantic Checking - Implemented as part of agent framework
• ✅ Issue 📊 Phase 3.4: ReAct Chain-of-Thought Logging #20: ReAct Chain-of-Thought Logging - Implemented as part of agent framework

Current Progress

Completed: 12/20 (60%)

Phase	Status	Progress
Phase 1 (Foundation)	✅ Complete	4/4 (100%)
Phase 1.5 (Agent Framework)	✅ Complete	1/1 (100%)
Phase 2 (API & Security)	✅ Complete	4/4 (100%)
Phase 3 (Optimization)	🟡 In Progress	2/4 (50%)
Phase 4 (Deployment)	🟡 In Progress	1/3 (33%)
Phase 5 (Advanced)	🔴 Not Started	0/3 (0%)

Remaining Open Issues

Issue	Title	Priority
#8	Performance Optimization	Medium
#9	Monitoring & Observability	Medium
#12	CI/CD Pipeline (needs deployment)	Medium
#13	Deployment Architecture	Medium
#14	Multi-Database Support	Low
#15	Query Explanation & Visualization	Low
#16	Few-Shot Learning & Fine-Tuning	Low

Recommended Next Steps

1. Issue Phase 4.2: CI/CD Pipeline #12: Complete CI/CD with deployment workflow
2. Issue Phase 3.1: Performance Optimization #8: Performance optimization
3. Issue Phase 3.2: Monitoring & Observability #9: Monitoring & observability

[Sakeeb91]

📊 Status Update (2025-12-15) - CI/CD Complete

Issue #12 Closed - Full CI/CD Pipeline

The CI/CD pipeline is now complete with:

• 6 GitHub Actions workflows (CI, Release, Deploy Staging, Deploy Production, Rollback, Version Bump)
• Docker push to GHCR with multiple tag formats
• Environment-specific docker-compose files (staging, production)
• Automated dependency updates via Dependabot
• Repository governance (CODEOWNERS, PR template)

Current Progress

Completed: 13/20 (65%)

Phase	Status	Progress
Phase 1 (Foundation)	✅ Complete	4/4 (100%)
Phase 1.5 (Agent Framework)	✅ Complete	1/1 (100%)
Phase 2 (API & Security)	✅ Complete	4/4 (100%)
Phase 3 (Optimization)	🟡 In Progress	2/4 (50%)
Phase 4 (Deployment)	✅ Complete	3/3 (100%)
Phase 5 (Advanced)	🔴 Not Started	0/3 (0%)

Remaining Open Issues

Issue	Title	Priority
#8	Performance Optimization	Medium
#9	Monitoring & Observability	Medium
#13	Deployment Architecture	Low (CI/CD done)
#14	Multi-Database Support	Low
#15	Query Explanation & Visualization	Low
#16	Few-Shot Learning & Fine-Tuning	Low

Recent Commits (12 atomic commits)

b86ef7c docs: update CLAUDE.md with deployment documentation
676857f repo: add pull request template
3f59a9c repo: add CODEOWNERS file for review requirements
c528333 ci: add dependabot for automated dependency updates
1972dd6 config: add docker-compose production override
dcb09d2 config: add docker-compose staging override
6b5d8c7 ci: add automated version bump workflow
6e60bc6 ci: add rollback workflow for emergency recovery
14742cf ci: add production deployment workflow
fe71f8c ci: add staging deployment workflow
7f13b1f ci: add Docker push to CI workflow
cb06b45 ci: add release workflow with semantic versioning

[Sakeeb91]

🔄 Progress Update (2025-12-17)

✅ Issue #8: Performance Optimization - COMPLETED

Phase 3.1 Performance Optimization has been fully implemented!

What was implemented:

1. Redis-Based Caching Layer (app/cache.py)

• Query result caching with configurable TTL
• Model output caching for inference results
• Schema caching with namespace isolation
• In-memory fallback when Redis unavailable
• @cached decorator for function memoization
• Cache statistics tracking (hits, misses, hit rate)
• Automatic LRU eviction for memory management

2. Parallel Batch Processing (models/inference.py)

• True parallel processing using asyncio.gather
• Semaphore-based concurrency control
• Preserved result ordering
• Per-item error handling with graceful degradation

3. Response Streaming (app/streaming.py)

• Server-Sent Events (SSE) implementation
• Real-time progress updates during inference
• Batched result streaming for large datasets
• Heartbeat generation for connection keep-alive

4. Performance Monitoring (app/performance.py)

• Prometheus metrics for all operations
• Memory usage tracking (RSS, VMS, GPU)
• Connection pool monitoring
• Request tracking with active count

New API Endpoints:

• POST /api/v1/query/stream - SSE streaming
• GET /api/v1/cache/stats - Cache statistics
• POST /api/v1/cache/invalidate - Cache management
• GET /api/v1/performance - Performance metrics
• POST /api/v1/query/batch - Parallel batch queries

Test Coverage:

• 66 new tests (all passing)
• CI/CD passes all checks ✅

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📊 Updated Progress

Phase 3 (Optimization & Scaling): 2/4 complete (50%)

• ✅ Issue Phase 3.1: Performance Optimization #8: Performance Optimization - CLOSED
• ✅ Issue Phase 3.3: Testing Strategy #10: Testing Strategy - CLOSED
• ⬜ Issue Phase 3.2: Monitoring & Observability #9: Monitoring & Observability - Open
• ⬜ Issue 📊 Phase 3.4: ReAct Chain-of-Thought Logging #20: ReAct Chain-of-Thought Logging - Open

Overall Project Progress:

• Completed: 9/20 (45%)
• In Progress: 0 (0%)
• Not Started: 11 (55%)

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🎯 Recommended Next Steps

1. Issue 🤖 Phase 1.5: Implement smolagents Agent Framework (CRITICAL UPGRADE) #18: Agent Framework (CRITICAL) - Core differentiator
2. Issue Phase 3.2: Monitoring & Observability #9: Monitoring & Observability - Complete Phase 3
3. Issue 📊 Phase 3.4: ReAct Chain-of-Thought Logging #20: ReAct Chain-of-Thought Logging

[Sakeeb91]

📊 Project Tracker Update - 2025-12-17

✅ Issue #8: Performance Optimization - COMPLETED

Implementation Summary:

1. Redis Caching Layer (app/cache.py)

• CacheManager with async Redis connection + in-memory fallback
• Namespace-based caching (query, model, schema, inference, validation)
• Configurable TTLs per cache type
• @cached decorator for function memoization
• Cache statistics and invalidation endpoints

2. Server-Sent Events Streaming (app/streaming.py)

• Real-time query result streaming
• Batched result delivery for large datasets
• Progress events during long operations

3. Parallel Batch Processing (models/inference.py)

• generate_batch() with parallel execution option
• Semaphore-based concurrency control
• Configurable max concurrent requests

4. Performance Monitoring (app/performance.py)

• Prometheus metrics integration
• Connection pool monitoring
• Memory/GPU usage tracking
• Timer utilities for benchmarking

5. New API Endpoints (app/routes.py)

• POST /api/v1/query/stream - SSE streaming
• GET /api/v1/cache/stats - Cache statistics
• POST /api/v1/cache/invalidate - Cache management
• GET /api/v1/performance - Performance metrics
• POST /api/v1/query/batch - Batch queries

6. Docker Build Optimization

• Split requirements files for layer caching
• uv package manager (10-100x faster)
• BuildKit cache mounts
• CPU-only PyTorch option (TORCH_CPU=true)
• Build time reduced: ~17min → ~10min (cold) / ~3-5min (cached)

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📈 Updated Progress

Total Issues: 20
Completed: 9 (45%) ⬆️ +1
In Progress: 0
Not Started: 11 (55%)

Progress by Phase

Phase	Status	Progress
Phase 1 (Foundation)	✅ Complete	4/4 (100%)
Phase 1.5 (Agent Framework)	✅ Complete	1/1 (100%)
Phase 2 (API & Security)	🟢 Mostly Done	2/4 (50%)
Phase 3 (Optimization)	🟡 In Progress	2/4 (50%) ⬆️
Phase 4 (Deployment)	🟡 In Progress	1/3 (33%)
Phase 5 (Advanced)	🔴 Not Started	0/3 (0%)

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🎯 Updated Recommended Next Steps

1. Issue Phase 3.2: Monitoring & Observability #9: Monitoring & Observability - Completes Phase 3 optimization work
2. Issue Phase 2.3: Error Handling & Resilience #7: Error Handling & Resilience - Production hardening
3. Issue Phase 4.3: Deployment Architecture #13: Deployment Architecture - Production infrastructure

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Files Added/Modified:

• app/cache.py (new) - Redis caching layer
• app/streaming.py (new) - SSE streaming
• app/performance.py (new) - Performance monitoring
• models/inference.py - Parallel batch processing
• app/routes.py - New endpoints
• app/config.py - CacheSettings
• requirements-base.txt (new) - Split requirements
• requirements-ml.txt (new) - ML dependencies
• requirements-dev.txt (new) - Dev dependencies
• Dockerfile - Optimized with uv and BuildKit
• .github/workflows/ci.yml - Docker caching improvements

[Sakeeb91]

🎉 Issue #13 - Deployment Architecture Complete

Phase 4.3 Deployment Architecture has been fully implemented with 25 atomic commits:

Infrastructure Added

• Load Balancer: Nginx with SSL termination, rate limiting, upstream pooling
• Database HA: PostgreSQL streaming replication with PgBouncer connection pooler
• Auto-Scaling: Kubernetes HPA, VPA support, staging/production overlays
• CDN: CloudFlare and AWS CloudFront configuration guides

Documentation Added

• 6 deployment documentation files
• 5 operational runbooks
• Updated CLAUDE.md with deployment architecture section

Files Created

deploy/
├── nginx/          # Load balancer configuration
├── postgres/       # PostgreSQL HA configuration
└── kubernetes/     # Kubernetes manifests with kustomize

docs/
├── deployment/     # Architecture documentation
└── runbooks/       # Operational runbooks

Phase 4 is now complete! Project is at 85% completion.

[Sakeeb91]

📝 Update: Issue #15 Completed

Issue #15: Query Explanation & Visualization has been completed and merged.

Implementation Summary

Created comprehensive SQL query explanation feature with:

Core Capabilities:

• Natural language explanations of SQL queries
• Step-by-step clause breakdown (SELECT, FROM, JOIN, WHERE, etc.)
• Complexity scoring algorithm (0.0-1.0 scale)
• Optimization hints and suggestions

Visualization Formats:

• ASCII tree diagrams
• Mermaid flowcharts
• JSON structure
• HTML formatted output

API Endpoints:

• POST /api/v1/explain - Generate full explanation
• POST /api/v1/visualize - Generate visualization only
• GET /api/v1/explain/{query_id} - Retrieve cached explanation
• POST /api/v1/explain/batch - Batch explain multiple queries

Technical Details:

• 16 atomic commits
• 72 unit tests passing
• Full MyPy type checking compliance
• Documentation updated in CLAUDE.md

Progress Update

• Completed: 19/20 (95%)
• Remaining: Issue Phase 5.3: Few-Shot Learning & Fine-Tuning #16 (Few-Shot Learning & Fine-Tuning)

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Updated: 2025-12-19

[Sakeeb91]

Issue #30 closed: smolagents CodeAgent integration + agent settings/fallback, API/streaming wiring, tests/docs updates. CI passing on main.

[Sakeeb91]

Update: added HF Inference Providers backend for the smolagents agent (configurable via AGENT_MODEL_BACKEND=hf_inference + AGENT_INFERENCE_*). Docs and runbooks updated; CI green on run 20395651137.

[Sakeeb91]

Update: Issue #32 closed. Streaming now executes generated SQL once (legacy path uses SafeQueryExecutor), missing-SQL guard added, tests/docs updated. CI run 20418058219 green.

[Sakeeb91]

Closed #33: enforced JWT/API key auth, Redis-ready rate limiting, scope-based mutation checks, and updated docs/tests. CI green.