# Multi-Language Chat Agent

A Flask-based chat agent that supports multiple programming languages with Python as the default. The agent maintains proper chat history, integrates with Groq LangChain API for LLM capabilities, and provides language-specific assistance to students learning to code.

## Project Structure

```
chat_agent/
├── chat_agent/                 # Main application package
│   ├── __init__.py
│   ├── api/                    # REST API endpoints
│   ├── models/                 # Data models
│   ├── services/               # Business logic services
│   ├── utils/                  # Utility functions
│   └── websocket/              # WebSocket handlers
├── static/                     # Static assets (CSS, JS)
│   ├── css/
│   └── js/
├── templates/                  # HTML templates
├── tests/                      # Test suite
│   ├── unit/                   # Unit tests
│   └── integration/            # Integration tests
├── app.py                      # Application entry point
├── config.py                   # Configuration management
├── requirements.txt            # Python dependencies
└── .env.example               # Environment variables template
```

## Setup Instructions

1. **Clone and navigate to the project directory**

2. **Create a virtual environment**
   ```bash
   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   ```

3. **Install dependencies**
   ```bash
   pip install -r requirements.txt
   ```

4. **Set up environment variables**
   ```bash
   cp .env.example .env
   # Edit .env with your actual configuration values
   ```

5. **Set up databases**
   - Install and start PostgreSQL
   - Install and start Redis
   - Update database connection strings in .env

6. **Run the application**
   ```bash
   python app.py
   ```

## Environment Variables

Copy `.env.example` to `.env` and configure the following:

- `GROQ_API_KEY`: Your Groq API key for LLM integration
- `DATABASE_URL`: PostgreSQL connection string
- `REDIS_URL`: Redis connection string
- `SECRET_KEY`: Flask secret key for sessions

## Features

- Multi-language programming support (Python, JavaScript, Java, C++, etc.)
- Real-time chat with WebSocket communication
- Persistent chat history with Redis caching
- Groq LangChain API integration
- Session management for concurrent users
- Language context switching mid-conversation

## Development

This project follows the spec-driven development methodology. See the implementation tasks in `.kiro/specs/multi-language-chat-agent/tasks.md` for detailed development steps.

## Testing

Run tests with:
```bash
pytest tests/
```

## License

MIT License