Facebook Gemini AI Agents - Complete Implementation

# Facebook Gemini AI Agents - Complete Implementation

This is a comprehensive multi-agent system for Facebook page management using CrewAI and Google Gemini AI.

## 🚀 Features

### AI Agents
- **Content Creation Agent**: Auto-generates engaging posts, captions, and hashtags
- **Customer Service Agent**: Automated Messenger responses and lead generation  
- **Analytics Agent**: Performance monitoring and content optimization

### Capabilities
- ✅ Intelligent content generation with Gemini AI
- ✅ Automated customer service with intent recognition
- ✅ Performance analytics and insights
- ✅ Facebook API integration (Pages, Messenger, Marketing)
- ✅ Web dashboard for agent management
- ✅ RESTful API with comprehensive endpoints
- ✅ Docker containerization support
- ✅ Comprehensive testing suite

## 📋 Prerequisites

Before running the application, ensure you have:

1. **Facebook Developer Account** with:
   - Facebook App with Page Management permissions
   - Page Access Token
   - App ID and App Secret

2. **Google Cloud Account** with:
   - Gemini API key
   - Enabled Generative AI API

3. **Python 3.11+** installed

## 🔧 Installation

### 1. Clone and Setup
```bash
git clone <repository-url>
cd facebook-gemini-agents
pip install -r requirements.txt
```

### 2. Configure Environment
```bash
cp .env.example .env
# Edit .env with your API credentials
```

### 3. Configure API Keys
Edit `.env` file with your credentials:
```env
# Facebook API
FACEBOOK_APP_ID=your_app_id
FACEBOOK_APP_SECRET=your_app_secret
FACEBOOK_ACCESS_TOKEN=your_access_token
FACEBOOK_PAGE_ID=your_page_id

# Google Gemini
GOOGLE_API_KEY=your_gemini_api_key
```

## 🚀 Quick Start

### Run the Application
```bash
# Start the API server
python src/api/main.py

# Or use the CLI
python main.py content-generate --topic "summer vacation ideas"
```

### Access the Web Interface
Open your browser to: `http://localhost:8000/web/`

## 📖 Usage Examples

### Content Generation
```python
from src.agents.content_agent import content_agent

# Generate a Facebook post
post = content_agent.create_post(
    topic="summer vacation",
    tone="friendly",
    length="medium"
)
print(post['content'])
print(post['hashtags'])
```

### Customer Service
```python
from src.agents.customer_service_agent import customer_service_agent

# Handle customer message
result = customer_service_agent.handle_message(
    message="I need help with my order",
    sender_info={'name': 'John'}
)
print(result['response'])
print(f"Intent: {result['intent']}")
```

### Analytics
```python
from src.agents.analytics_agent import analytics_agent

# Analyze page performance
insights = analytics_agent.analyze_page_performance(
    page_id="your_page_id",
    date_range="last_30d"
)
print(insights['insights_summary'])
```

## 🌐 API Endpoints

### Content Agent
- `POST /api/agents/content/generate` - Generate content
- `POST /api/agents/content/optimize` - Optimize existing content
- `POST /api/agents/content/calendar` - Generate content calendar

### Customer Service Agent  
- `POST /api/agents/service/respond` - Handle customer message
- `POST /api/agents/service/quick-reply` - Handle quick reply
- `GET /api/agents/service/metrics` - Get service metrics

### Analytics Agent
- `POST /api/agents/analytics/insights` - Get page insights
- `POST /api/agents/analytics/trending` - Get trending content
- `POST /api/agents/analytics/schedule` - Get posting schedule

### Facebook Integration
- `GET /api/facebook/pages` - List Facebook pages
- `POST /api/facebook/post` - Create Facebook post
- `GET /api/facebook/posts/{page_id}` - Get page posts

## 🧪 Testing

### Run Tests
```bash
# Run all tests
pytest

# Run specific test file
pytest tests/test_agents.py -v

# Run with coverage
pytest --cov=src tests/
```

### Test Coverage
The test suite includes:
- ✅ Unit tests for all agents
- ✅ API endpoint testing
- ✅ Integration tests
- ✅ Mock external services
- ✅ Error handling tests

## 🐳 Docker Deployment

### Build and Run
```bash
# Build and start services
docker-compose up -d

# Check logs
docker-compose logs -f

# Stop services
docker-compose down
```

### Services
- **app**: Main application (port 8000)
- **redis**: Redis cache (port 6379)
- **nginx**: Reverse proxy (port 80)

## 📁 Project Structure

```
facebook-gemini-agents/
├── src/
│   ├── agents/
│   │   ├── base_agent.py          # Base agent class
│   │   ├── content_agent.py     # Content creation agent
│   │   ├── customer_service_agent.py  # Customer service agent
│   │   └── analytics_agent.py     # Analytics agent
│   ├── config/
│   │   └── settings.py          # Configuration settings
│   ├── tools/
│   │   ├── facebook_tools.py    # Facebook API client
│   │   ├── gemini_tools.py        # Gemini AI tools
│   │   └── utils.py               # Utility functions
│   ├── api/
│   │   └── main.py               # FastAPI application
│   └── web/
│       └── index.html            # Web dashboard
├── tests/
│   ├── test_agents.py            # Agent tests
│   └── test_api.py               # API tests
├── requirements.txt              # Python dependencies
├── docker-compose.yml           # Docker services
├── Dockerfile                  # App container
└── main.py                      # CLI entry point
```

## 🔧 Configuration

### Agent Settings
Configure agent behavior in `src/config/settings.py`:
```python
AGENT_CONFIGS = {
    'content_agent': {
        'model': 'gemini-pro',
        'temperature': 0.7,
        'max_tokens': 1000,
    },
    'customer_service_agent': {
        'model': 'gemini-pro',
        'temperature': 0.3,
        'max_tokens': 500,
    },
    'analytics_agent': {
        'model': 'gemini-pro',
        'temperature': 0.1,
        'max_tokens': 2000,
    }
}
```

### Facebook API Settings
Configure Facebook API endpoints and permissions in the same file.

## 🚨 Error Handling

The system includes comprehensive error handling:

- **API Errors**: Graceful handling of Facebook API errors
- **Network Issues**: Retry mechanisms for failed requests
- **Validation**: Input validation for all endpoints
- **Logging**: Detailed logging for debugging
- **Fallback Responses**: Backup responses when AI fails

## 🔒 Security

Security measures include:

- **Environment Variables**: All secrets in environment variables
- **Input Sanitization**: Clean user inputs
- **Rate Limiting**: Prevent API abuse
- **Webhook Verification**: Secure Facebook webhooks
- **HTTPS**: SSL/TLS encryption

## 📈 Performance Optimization

- **Caching**: Redis caching for frequently accessed data
- **Async Processing**: Background tasks for heavy operations
- **Connection Pooling**: Efficient database connections
- **Lazy Loading**: Load resources only when needed

## 🤝 Contributing

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

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🆘 Support

For support and questions:
- Create an issue in the GitHub repository
- Check the documentation in the `docs/` folder
- Review the API documentation at `http://localhost:8000/docs`

## 🙏 Acknowledgments

- **CrewAI** - Multi-agent orchestration framework
- **Google Gemini** - AI model for content generation
- **Facebook** - Social media platform and APIs
- **FastAPI** - Modern web framework
- **Tailwind CSS** - Utility-first CSS framework

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**Ready to automate your Facebook page management with AI?** 🚀

Start by configuring your environment variables and running the application. The intelligent agents will handle content creation, customer service, and analytics automatically!