81 lines
1.9 KiB
Markdown
81 lines
1.9 KiB
Markdown
# Claude Code but with OpenAI Models 🧙♂️🔄 ¯\\_(ツ)_/¯
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**Use Claude Code with OpenAI Models** 🤝
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A proxy server that lets you use Claude Code with OpenAI models like GPT-4o. 🌉
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## Why Use This? 🤔
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- Why not? ¯\\_(ツ)_/¯
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## Quick Start ⚡
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### Prerequisites
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- OpenAI API key 🔑
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### Setup 🛠️
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1. **Clone this repository**:
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```bash
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git clone https://github.com/1rgs/claude-code-openai.git
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cd claude-code-openai
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```
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2. **Install UV**:
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```bash
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curl -LsSf https://astral.sh/uv/install.sh | sh
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```
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3. **Configure your API keys**:
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Create a `.env` file with:
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```
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OPENAI_API_KEY=your-openai-key
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```
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4. **Start the proxy server**:
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```bash
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uv run uvicorn server:app --host 0.0.0.0 --port 8082
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```
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### Using with Claude Code 🎮
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1. **Install Claude Code** (if you haven't already):
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```bash
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npm install -g @anthropic-ai/claude-code
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```
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2. **Connect to your proxy**:
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```bash
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ANTHROPIC_BASE_URL=http://localhost:8082 DISABLE_PROMPT_CACHING=1 claude
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```
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3. **That's it!** Your Claude Code client will now use OpenAI models through the proxy. 🎯
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## Model Mapping 🗺️
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The proxy automatically maps Claude models to OpenAI models:
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| Claude Model | OpenAI Model |
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|--------------|--------------|
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| haiku | gpt-4o-mini |
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| sonnet | o3-mini |
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You can customize these mappings in `server.py` by editing the `validate_model` function. 🔧
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## How It Works 🧩
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This proxy works by:
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1. **Receiving requests** in Anthropic's API format 📥
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2. **Translating** the requests to OpenAI format via LiteLLM 🔄
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3. **Sending** the translated request to OpenAI 📤
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4. **Converting** the response back to Anthropic format 🔄
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5. **Returning** the formatted response to the client ✅
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The proxy handles both streaming and non-streaming responses, maintaining compatibility with all Claude clients. 🌊
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## Contributing 🤝
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Contributions are welcome! Please feel free to submit a Pull Request. 🎁
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