gpt4free/DOCUMENTATION_INDEX.md

# G4F Documentation Index

## Overview

This documentation suite provides comprehensive coverage of the G4F (GPT4Free) library, including all public APIs, functions, components, and usage examples.

## Documentation Files

### 1. [API_DOCUMENTATION.md](./API_DOCUMENTATION.md)
**Main API Documentation** - Complete reference for all public APIs and functions

**Contents:**
- Installation and quick start
- Client API (sync and async)
- Legacy API
- Models and providers
- REST API overview
- CLI and GUI interfaces
- Error handling
- Configuration options
- Comprehensive examples

### 2. [PROVIDER_DOCUMENTATION.md](./PROVIDER_DOCUMENTATION.md)
**Provider System Documentation** - Detailed guide to the provider architecture

**Contents:**
- Provider architecture and base classes
- Working providers (free and authenticated)
- Provider selection and retry logic
- Creating custom providers
- Provider parameters and configuration
- Error handling and testing
- Best practices and performance

### 3. [REST_API_DOCUMENTATION.md](./REST_API_DOCUMENTATION.md)
**REST API Reference** - Complete OpenAI-compatible API documentation

**Contents:**
- API server setup and configuration
- Authentication methods
- All endpoints with examples
- Request/response formats
- Advanced features (vision, tools, streaming)
- Error handling and status codes
- Integration examples
- Performance and scaling
- Security considerations

### 4. [EXAMPLES_AND_USAGE.md](./EXAMPLES_AND_USAGE.md)
**Examples and Usage Guide** - Practical code examples and patterns

**Contents:**
- Basic usage examples
- Advanced features (vision, functions, JSON mode)
- Provider-specific examples
- Integration patterns (async, web frameworks, LangChain)
- Error handling patterns
- Performance optimization
- Production use cases (chatbots, content generation)

## Quick Reference

### Installation
```bash
pip install g4f[all]
```

### Basic Usage
```python
from g4f.client import Client

client = Client()
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
```

### REST API
```bash
g4f api --port 8080
curl -X POST "http://localhost:8080/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o-mini","messages":[{"role":"user","content":"Hello!"}]}'
```

## Key Features Covered

### Core Functionality
- ✅ Text generation with multiple models
- ✅ Image generation and analysis
- ✅ Streaming responses
- ✅ Function/tool calling
- ✅ Vision models with image input
- ✅ JSON response formatting

### Provider System
- ✅ 20+ working providers
- ✅ Automatic fallback and retry logic
- ✅ Custom provider development
- ✅ Authentication handling
- ✅ Provider health monitoring

### APIs and Interfaces
- ✅ Modern Client API (OpenAI-compatible)
- ✅ Legacy API for backwards compatibility
- ✅ REST API server (FastAPI-based)
- ✅ Command-line interface
- ✅ Web GUI interface

### Integration Support
- ✅ Async/await support
- ✅ LangChain integration
- ✅ OpenAI client compatibility
- ✅ Docker deployment
- ✅ Production deployment patterns

### Error Handling
- ✅ Comprehensive exception types
- ✅ Retry logic and fallback strategies
- ✅ Provider health checking
- ✅ Graceful degradation patterns

## Target Audiences

### Developers
- Quick start guides for immediate usage
- Comprehensive API reference
- Integration examples with popular frameworks
- Custom provider development guides

### System Administrators
- Deployment guides (Docker, production)
- Configuration and security options
- Monitoring and logging setup
- Performance optimization tips

### Data Scientists/Researchers
- Model comparison and selection guides
- Batch processing examples
- Provider capability matrices
- Performance benchmarking patterns

## Documentation Standards

### Code Examples
- All examples are tested and functional
- Multiple programming languages where applicable
- Clear error handling demonstrations
- Production-ready patterns

### API Reference
- Complete parameter documentation
- Request/response examples
- HTTP status codes and error types
- OpenAI compatibility notes

### Architecture Documentation
- Class hierarchies and inheritance
- Plugin/extension points
- Configuration options
- Best practices and anti-patterns

## Getting Help

### Documentation Issues
If you find any issues with the documentation:
1. Check the official repository for updates
2. Look for similar issues in the issue tracker
3. Create a detailed issue report with examples

### Code Examples
All code examples in this documentation are designed to work with the latest version of G4F. If an example doesn't work:
1. Verify your G4F version: `pip show g4f`
2. Check for any required dependencies
3. Review the error message for configuration issues

### Community Resources
- GitHub Repository: Primary source for latest updates
- Discord Community: Real-time help and discussions
- Issue Tracker: Bug reports and feature requests

## Contributing to Documentation

### Guidelines
1. Keep examples simple and focused
2. Include error handling in complex examples
3. Test all code before documitting
4. Use consistent formatting and style
5. Provide context for each example

### Structure
- Start with the simplest use case
- Build complexity gradually
- Include common pitfalls and solutions
- Cross-reference related sections

This documentation is continuously updated to reflect the latest features and best practices. Always refer to the official repository for the most current information.