80d1f9d26a
- Updated README.md to include new setup instructions for RAG and observability. - Added internal knowledge base (KB) setup for SQL optimization team, supporting various document types. - Implemented token usage logging in LLM tools to track costs and usage. - Refactored SQL analysis and optimization prompts for clarity and consistency. - Introduced filtering of external tools based on environment configuration. - Enhanced conservative analysis agent with structured prompt for performance suggestions. - Updated requirements.txt to include new dependencies for RAG functionality. - Added internal KB helpers for building and attaching knowledge to agents.
36 lines
638 B
Text
36 lines
638 B
Text
python-dotenv==1.2.1
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uvicorn==0.40.0
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fastapi==0.128.0
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# Core framework
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agno==2.4.2
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# Playground and storage
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sqlalchemy==2.0.46
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aiosqlite==0.22.1
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# Providers used in code examples (install what you use)
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openai==2.15.0
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google-generativeai==0.8.6
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google-cloud-aiplatform==1.134.0
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mistralai==1.10.1
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ollama==0.6.1
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groq==1.0.0
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PyJWT==2.10.1
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# Original optimizer dependencies
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anthropic==0.76.0
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google-genai==1.60.0
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typer[all]==0.21.1
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structlog==25.5.0
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oci==2.165.1
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aiofiles==25.1.0
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types-aiofiles==25.1.0.20251011
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oracledb==3.4.1
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pymssql==2.3.11
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sqlparse==0.5.5
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sqlglot==28.6.0
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# RAG (local KB)
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chromadb==0.6.3
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sentence-transformers==3.4.1
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