FastAPI LangGraph Chat

This project is a simple chat application built using FastAPI and LangGraph agents. It provides a web interface for users to interact with a chat system powered by AI.

Project Structure

fastapi-langgraph-chat
├── src
│   ├── main.py                # Entry point of the FastAPI application
│   ├── api
│   │   └── chat.py            # API endpoint for chat functionality
│   ├── agents
│   │   └── langgraph_agent.py  # Implementation of the LangGraph agent
│   ├── templates
│   │   └── chat.html          # HTML template for the chat window
│   ├── static
│   │   ├── css
│   │   │   └── styles.css     # CSS styles for the chat window
│   │   └── js
│   │       └── chat.js        # JavaScript for chat interactions
│   └── tests
│       └── test_chat.py       # Unit tests for the chat API
├── requirements.txt            # Project dependencies
├── .env                        # Environment variables for configuration
├── Dockerfile                  # Instructions for building the Docker image
├── docker-compose.yml          # Multi-container Docker application configuration
└── README.md                   # Project documentation

Setup Instructions

1. Clone the repository:

   git clone <repository-url>
   cd fastapi-langgraph-chat
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   uvicorn src.main:app --reload
   

5. Access the chat interface: Open your browser and go to http://localhost:8000.

Usage

• Users can send messages through the chat interface.
• The backend processes the messages using LangGraph agents and returns responses.

Testing

To run the tests, execute the following command:

pytest src/tests/test_chat.py

Docker

To build and run the application using Docker, use the following commands:

docker-compose up --build

Contributing

Feel free to submit issues or pull requests for improvements or bug fixes.