# Claude-on-OpenAI Proxy

🚀 **Use Claude Code with OpenAI Models** 🚀

A proxy server that lets you use Claude Code with OpenAI models like GPT-4o.

## Why Use This?

- 🧠 **Leverage Claude Code with more models**: Use Claude Code's powerful coding interface but with OpenAI's more affordable models
- ⚡ **No code changes needed**: Your Claude clients work without modification
- 🔄 **Transparent model swapping**: Claude requests are automatically routed to OpenAI equivalents

## Quick Start

### Prerequisites

- OpenAI API key

### Setup

1. **Clone this repository**:
   ```bash
   git clone https://github.com/1rgs/claude-code-openai.git
   cd claude-code-openai
   ```

2. **Install UV**:
   ```bash
  curl -LsSf https://astral.sh/uv/install.sh | sh
   ```

3. **Configure your API keys**:
   Create a `.env` file with:
   ```
   OPENAI_API_KEY=your-openai-key
   ```

4. **Start the proxy server**:
   ```bash
   uv run uvicorn server:app --host 0.0.0.0 --port 8082
   ```

### Using with Claude Code

1. **Install Claude Code** (if you haven't already):
   ```bash
   npm install -g @anthropic-ai/claude-code
   ```

2. **Connect to your proxy**:
   ```bash
   ANTHROPIC_BASE_URL=http://localhost:8082 DISABLE_PROMPT_CACHING=1 claude
   ```

3. **That's it!** Your Claude Code client will now use OpenAI models through the proxy.

## Model Mapping

The proxy automatically maps Claude models to OpenAI models:

| Claude Model | OpenAI Model |
|--------------|--------------|
| haiku | gpt-4o-mini |
| sonnet | o3-mini |


You can customize these mappings in `server.py` by editing the `validate_model` function.

## How It Works

This proxy works by:

1. **Receiving requests** in Anthropic's API format
2. **Translating** the requests to OpenAI format via LiteLLM
3. **Sending** the translated request to OpenAI
4. **Converting** the response back to Anthropic format
5. **Returning** the formatted response to the client

The proxy handles both streaming and non-streaming responses, maintaining compatibility with all Claude clients.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.