Docker

Project Snapshot Hands-on sandbox for exploring agentic workflows in FastAPI. The repo pairs streaming upload endpoints with a LangGraph agent that calls external tools, organized in a clean-architecture layout for learning and iteration. Business Context Built to experiment with agentic programming best practices without the constraints of a production system. Demonstrates how to package FastAPI + LangChain/LangGraph patterns so teams can extend them into real apps. Highlights both agent reasoning flows and backend API ergonomics in one demo. Core Capabilities Streaming uploads for PDF and binary files, plus small-file upload examples. LangGraph agent endpoint that invokes a Tavily search tool with a Gemini model. In-memory checkpointing using SQLite to preserve agent state. Config management handled with Pydantic Settings. Clean-architecture layout using adapters, domain, and entrypoints folders. Docker-based dev loop with auto-reload for rapid iteration. Architecture Highlights Split into two FastAPI apps: be1/ for upload streaming experiments and langgraph-demo/ for agent workflows. Docker Compose boots the LangGraph app and exposes interactive API docs on startup. Notes and scaffolding call out missing tests, persistence wiring, and auth to guide future extensions. My Role I assembled the demo, wired the streaming API endpoints and tool-calling LangGraph workflow, and documented the layout and local Docker workflow for fast iteration. ...