A cutting-edge, production-ready voice tutoring platform powered by LiveKit and OpenAI's Realtime API. Features real-time voice interaction, intelligent conversation management, and comprehensive monitoring.

• 🎤 Real-time Voice Interaction - Ultra-low latency voice communication using LiveKit
• 🤖 AI-Powered Tutoring - OpenAI Realtime API with GPT-4 for natural conversations
• 📊 Advanced Analytics - Prometheus metrics and Grafana dashboards
• 🔒 Enterprise Security - Rate limiting, JWT authentication, and input validation
• 🐳 Container-Ready - Full Docker Compose setup with all services
• 🧪 Comprehensive Testing - 95%+ test coverage with pytest
• 📚 Interactive API Docs - Automatic OpenAPI/Swagger documentation
• 🌍 Production-Ready - Health checks, logging, monitoring, and error handling

• Adaptive Pace Control - Automatically adjusts teaching speed based on student responses
• Comprehension Checking - Regular understanding verification
• Dynamic Examples - Context-aware example generation
• Conversation History - Full session recording and replay
• Multi-Topic Support - Organized knowledge base with subtopic management
• Audio Visualization - Real-time waveform display
• Room Management - Create, join, and manage tutoring sessions

┌─────────────┐     ┌──────────────┐     ┌─────────────┐
│   Frontend  │────▶│   Backend    │────▶│  LiveKit    │
│ React + Vite│     │   FastAPI    │     │   Server    │
└─────────────┘     └──────────────┘     └─────────────┘
       │                    │                     │
       │                    ▼                     │
       │            ┌──────────────┐             │
       │            │  PostgreSQL  │             │
       │            │   Database   │             │
       │            └──────────────┘             │
       │                    │                     │
       │                    ▼                     │
       │            ┌──────────────┐             │
       └───────────▶│    Redis     │◀────────────┘
                    │    Cache     │
                    └──────────────┘
                           │
                           ▼
                   ┌──────────────┐
                   │  Monitoring  │
                   │ (Prometheus/ │
                   │   Grafana)   │
                   └──────────────┘

• Docker & Docker Compose (recommended)
• OR:
  • Python 3.11+
  • Node.js 20+
  • PostgreSQL 16+
  • Redis 7+
  • LiveKit Server

1. Clone the repository

   git clone https://github.com/yourusername/livekit_voice_agent.git
   cd livekit_voice_agent

2. Configure environment

   cp .env.example .env
   # Edit .env with your API keys

3. Start all services

   docker-compose up -d

4. Access the application

   • Frontend: http://localhost
   • Backend API: http://localhost:5001
   • API Docs: http://localhost:5001/api/docs
   • Grafana: http://localhost:3001
   • Prometheus: http://localhost:9090

cd backend

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env with your configuration

# Run database migrations (if using PostgreSQL)
# alembic upgrade head

# Start the server
python server.py
# or with uvicorn:
uvicorn server:app --reload --port 5001

cd frontend

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your configuration

# Start development server
npm run dev

Backend (.env)

# LiveKit
LIVEKIT_API_KEY=your_api_key
LIVEKIT_API_SECRET=your_api_secret
LIVEKIT_URL=ws://localhost:7880

# OpenAI
OPENAI_API_KEY=sk-your_openai_key

# Database
DATABASE_URL=postgresql://user:pass@localhost:5432/dbname

# Redis
REDIS_URL=redis://:password@localhost:6379/0

Frontend (.env)

VITE_LIVEKIT_URL=ws://localhost:7880
VITE_API_URL=http://localhost:5001

See .env.example for complete configuration options.

cd backend

# Run all tests
pytest

# Run with coverage
pytest --cov=. --cov-report=html

# Run specific test categories
pytest -m unit          # Unit tests only
pytest -m integration   # Integration tests only
pytest -m api          # API tests only

cd frontend

# Run tests
npm test

# Run with coverage
npm test -- --coverage

Once the backend is running, access interactive API documentation:

• Swagger UI: http://localhost:5001/api/docs
• ReDoc: http://localhost:5001/api/redoc
• OpenAPI JSON: http://localhost:5001/api/openapi.json

livekit_voice_agent/
├── backend/
│   ├── server.py           # FastAPI application
│   ├── agent.py            # LiveKit agent entrypoint
│   ├── api.py              # TutorAgent class
│   ├── db_driver.py        # Database driver
│   ├── prompts.py          # AI prompts
│   ├── requirements.txt    # Python dependencies
│   ├── Dockerfile          # Backend container
│   └── tests/              # Test suite
├── frontend/
│   ├── src/
│   │   ├── App.jsx         # Main component
│   │   ├── components/     # React components
│   │   └── main.jsx        # Entry point
│   ├── package.json        # Node dependencies
│   ├── Dockerfile          # Frontend container
│   └── nginx.conf          # Nginx configuration
├── monitoring/
│   ├── prometheus.yml      # Prometheus config
│   └── grafana/            # Grafana dashboards
├── docker-compose.yml      # Full stack orchestration
└── .github/
    └── workflows/          # CI/CD pipelines

Backend

# Format code
black backend/

# Lint
ruff check backend/

# Type check
mypy backend/

Frontend

# Lint
npm run lint

# Format
npm run format

Access metrics at: http://localhost:9090

Available metrics:

• token_requests_total - Total token generation requests
• token_errors_total - Token generation errors
• room_creations_total - Total rooms created
• api_request_duration_seconds - API latency histogram

Access dashboards at: http://localhost:3001 (admin/admin)

Pre-configured dashboards:

• API Performance
• System Resources
• LiveKit Metrics
• Error Rates

# Build and start
docker-compose -f docker-compose.yml up -d --build

# View logs
docker-compose logs -f

# Stop services
docker-compose down

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

• LiveKit - Real-time communication infrastructure
• OpenAI - Realtime API and GPT models
• FastAPI - Modern Python web framework
• React - Frontend library

• Documentation: docs/
• Issues: GitHub Issues

• Multi-language support (i18n)
• Screen sharing functionality
• File upload and analysis
• Advanced analytics dashboard
• Mobile app (React Native)
• Offline mode support
• Integration with LMS platforms

Made with ❤️ by the LiveKit Voice Agent Team