c29590d636
- Added PostgreSQLPromptGenerator for generating prompts optimized for PostgreSQL features. - Introduced SQLitePromptGenerator to handle SQLite-specific optimizations and features. - Created SQLServerPromptGenerator for Microsoft SQL Server, including detailed analysis and optimization requirements. - Developed a template system for rendering SQL-to-natural language and natural-to-SQL prompts. - Established core tools for SQL analysis, optimization, and comparison, including complexity assessment and comment stripping. - Integrated a team application to manage SQL optimization tasks and agent interactions. - Added utility functions for handling SQL files and ensuring valid SQL input.
31 lines
545 B
Text
31 lines
545 B
Text
python-dotenv>=1.0.1
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uvicorn>=0.30.0
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fastapi>=0.111.0
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# Core framework
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agno>=0.7.1
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# Playground and storage
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sqlalchemy>=2.0.31
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aiosqlite>=0.20.0
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# Providers used in code examples (install what you use)
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openai>=1.40.0
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google-generativeai>=0.7.2
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google-cloud-aiplatform>=1.66.0
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mistralai>=1.2.4
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ollama>=0.3.3
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groq>=0.9.0
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PyJWT>=2.8.0
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# Original optimizer dependencies
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anthropic>=0.25.0
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google-genai>=1.25.0
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typer[all]>=0.9.0
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structlog>=23.0.0
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oci>=2.157.0
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aiofiles>=25.1.0
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types-aiofiles>=24.1.0
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oracledb>=2.2.0
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pymssql>=2.3.0
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sqlparse>=0.5.0
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