| # 📝 Project Summary: Multi-Agent AI Backend | |
| ## ✅ Status: Production Ready | |
| ### System Overview | |
| Production-ready Python backend with 4 intelligent agents orchestrated by LangGraph: | |
| 1. **Weather Agent**: OpenWeatherMap API integration | |
| 2. **Document/Web Agent**: Docling + DuckDuckGo search, RAG with ChromaDB | |
| 3. **Meeting Agent**: Weather reasoning, scheduling, database operations | |
| 4. **NL-to-SQL Agent**: Natural language queries to SQLite | |
| ### Key Features | |
| - Multi-provider LLM support (OpenAI, Google GenAI, Ollama) | |
| - SQLite database (SQLModel ORM) | |
| - DuckDuckGo search (no API key required) | |
| - FastAPI REST endpoints | |
| - LangGraph state management | |
| - ChromaDB vector store for semantic search | |
| ### Testing Results | |
| - Weather queries: ✅ Working | |
| - Meeting scheduling: ✅ Functional | |
| - SQL generation: ✅ SQLite-specific syntax | |
| - Tool calling/routing: ✅ Successful | |
| ### Critical Fixes | |
| 1. LangChain compatibility: pinned to 0.3.x | |
| 2. DuckDB → SQLite: improved stability | |
| 3. Custom SQL prompt for correct date handling | |
| 4. Ollama integration: cost-free local LLM | |
| 5. LLM fallback logic: smart API key detection | |
| ### Main Files | |
| - main.py: FastAPI application | |
| - agents.py: LangGraph workflow (4 agents) | |
| - tools.py: Weather, search, document tools | |
| - models.py: SQLModel meeting schema | |
| - database.py: SQLite connection | |
| - seed_data.py: Sample data generator | |
| - test_agents.py: Automated test suite | |
| - OLLAMA_SETUP.md: Ollama configuration guide | |
| ### Production Readiness | |
| - Clean, modular architecture | |
| - Comprehensive error handling | |
| - Deterministic tool orchestration | |
| - One-command startup | |
| - Full documentation and setup guides | |
| - Environment-based configuration | |
| - Extensible agent framework | |
| - Local LLM support for cost savings | |
| ### Next Steps for User | |
| 1. Configure API keys in `.env` | |
| 2. Pull desired Ollama model: `ollama pull qwen3:0.6b` | |
| 3. Seed database: `uv run python seed_data.py` | |
| 4. Test: `uv run test_agents.py` | |
| 5. Deploy: `uv run python main.py` | |
| **Status**: 🎉 Fully functional and verified! | |