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fix: mount missing chat_routes and search_agent_routes routers in main.py

fix: make ML routes import transformers/torch lazily and handle ImportError gracefully

fix: make duckduckgo-search import lazy — returns 503 with helpful message if not installed

fix: v3.2 directory.py — remove duplicated row_to_dict/format_funding and import shared utils

fix: v3.2 enrichment routes — expose configured flags instead of claiming live integrations

fix: v3.2 enrichment.py — replace pass/commented stubs with config-driven enrichment

fix: v3.2 entities.py — shared utils imports, no code duplication

fix: v3.2 database.py — connection pool, schema_version migrations, is_seeded guard

fix: v3.2 main.py — single unified middleware, honest feature flags, seed guard

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feat: Update main.py v3.1 - add enrichment routes + performance headers

feat: Add enrichment API route for LinkedIn/GitHub/Google Maps data

feat: Add real-time data enrichment API (LinkedIn, GitHub, Google Maps integration)

fix: etl_routes.py - safe lazy imports

fix: mlops_routes.py - safe lazy imports from mlops module

fix: ml_routes.py - safe lazy imports for classifier and predictor

fix: Make ML __init__.py use lazy imports to avoid import errors

fix: Make ETL __init__.py use lazy imports

fix: Ensure backend and routes __init__.py have proper content

fix: Routes __init__.py for proper module imports

feat: Update main.py to include ML, MLOps, and ETL API routes

feat: Add ETL API routes (trigger pipeline, view stats, schedule)

feat: Add MLOps API routes (drift detection, model monitoring, CI/CD status)

feat: Add MLOps monitoring module (data drift, model health, CI/CD)

feat: Add ML API routes (sector classification + growth prediction endpoints)

feat: Add ML growth predictor module

feat: Add ML model serving layer (TorchServe/Triton compatible)

feat: Add ML module __init__.py

feat: Add NLP startup sector classifier with ONNX + HuggingFace