Anthropic API Proxy for Gemini & OpenAI Models 🔄

Use Anthropic clients (like Claude Code) with Gemini, OpenAI, or direct Anthropic backends. 🤝

A proxy server that lets you use Anthropic clients with Gemini, OpenAI, or Anthropic models themselves (a transparent proxy of sorts), all via LiteLLM. 🌉

Quick Start ⚡

Prerequisites

• OpenAI API key 🔑
• Google AI Studio (Gemini) API key (if using Google provider) 🔑
• Google Cloud Project with Vertex AI API enabled (if using Application Default Credentials for Gemini) ☁️
• uv installed.

Setup 🛠️

From source

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

2. Install uv (if you haven't already): bash curl -LsSf https://astral.sh/uv/install.sh | sh (uv will handle dependencies based on pyproject.toml when you run the server)

3. Configure Environment Variables: Copy the example environment file: bash cp .env.example .env Edit .env and fill in your API keys and model configurations:

4. ANTHROPIC_API_KEY: (Optional) Needed only if proxying to Anthropic models.

5. OPENAI_API_KEY: Your OpenAI API key (Required if using the default OpenAI preference or as fallback).
6. GEMINI_API_KEY: Your Google AI Studio (Gemini) API key (Required if PREFERRED_PROVIDER=google and USE_VERTEX_AUTH=true).
7. USE_VERTEX_AUTH (Optional): Set to true to use Application Default Credentials (ADC) will be used (no static API key required). Note: when USE_VERTEX_AUTH=true, you must configure VERTEX_PROJECT and VERTEX_LOCATION.
8. VERTEX_PROJECT (Optional): Your Google Cloud Project ID (Required if PREFERRED_PROVIDER=google and USE_VERTEX_AUTH=true).
9. VERTEX_LOCATION (Optional): The Google Cloud region for Vertex AI (e.g., us-central1) (Required if PREFERRED_PROVIDER=google and USE_VERTEX_AUTH=true).
10. PREFERRED_PROVIDER (Optional): Set to openai (default), google, or anthropic. This determines the primary backend for mapping haiku/sonnet.
11. BIG_MODEL (Optional): The model to map sonnet requests to. Defaults to gpt-4.1 (if PREFERRED_PROVIDER=openai) or gemini-2.5-pro-preview-03-25. Ignored when PREFERRED_PROVIDER=anthropic.
12. SMALL_MODEL (Optional): The model to map haiku requests to. Defaults to gpt-4.1-mini (if PREFERRED_PROVIDER=openai) or gemini-2.0-flash. Ignored when PREFERRED_PROVIDER=anthropic.

Mapping Logic: - If PREFERRED_PROVIDER=openai (default), haiku/sonnet map to SMALL_MODEL/BIG_MODEL prefixed with openai/. - If PREFERRED_PROVIDER=google, haiku/sonnet map to SMALL_MODEL/BIG_MODEL prefixed with gemini/ if those models are in the server's known GEMINI_MODELS list (otherwise falls back to OpenAI mapping). - If PREFERRED_PROVIDER=anthropic, haiku/sonnet requests are passed directly to Anthropic with the anthropic/ prefix without remapping to different models.

1. Run the server: bash uv run uvicorn server:app --host 0.0.0.0 --port 8082 --reload (--reload is optional, for development)

Docker

If using docker, download the example environment file to .env and edit it as described above.

curl -O .env https://raw.githubusercontent.com/1rgs/claude-code-proxy/refs/heads/main/.env.example

Then, you can either start the container with docker compose (preferred):

services:
  proxy:
    image: ghcr.io/1rgs/claude-code-proxy:latest
    restart: unless-stopped
    env_file: .env
    ports:
      - 8082:8082

Or with a command:

docker run -d --env-file .env -p 8082:8082 ghcr.io/1rgs/claude-code-proxy:latest

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 claude

3. That's it! Your Claude Code client will now use the configured backend models (defaulting to Gemini) through the proxy. 🎯

Model Mapping 🗺️

The proxy automatically maps Claude models to either OpenAI or Gemini models based on the configured model:

Claude Model	Default Mapping	When BIG_MODEL/SMALL_MODEL is a Gemini model
haiku	openai/gpt-4o-mini	gemini/[model-name]
sonnet	openai/gpt-4o	gemini/[model-name]

Supported Models

OpenAI Models

The following OpenAI models are supported with automatic openai/ prefix handling: - o3-mini - o1 - o1-mini - o1-pro - gpt-4.5-preview - gpt-4o - gpt-4o-audio-preview - chatgpt-4o-latest - gpt-4o-mini - gpt-4o-mini-audio-preview - gpt-4.1 - gpt-4.1-mini

Gemini Models

The following Gemini models are supported with automatic gemini/ prefix handling: - gemini-2.5-pro - gemini-2.5-flash

Model Prefix Handling

The proxy automatically adds the appropriate prefix to model names: - OpenAI models get the openai/ prefix - Gemini models get the gemini/ prefix - The BIG_MODEL and SMALL_MODEL will get the appropriate prefix based on whether they're in the OpenAI or Gemini model lists

For example: - gpt-4o becomes openai/gpt-4o - gemini-2.5-pro-preview-03-25 becomes gemini/gemini-2.5-pro-preview-03-25 - When BIG_MODEL is set to a Gemini model, Claude Sonnet will map to gemini/[model-name]

Customizing Model Mapping

Control the mapping using environment variables in your .env file or directly:

Example 1: Default (Use OpenAI) No changes needed in .env beyond API keys, or ensure:

OPENAI_API_KEY="your-openai-key"
GEMINI_API_KEY="your-google-key" # Needed if PREFERRED_PROVIDER=google
# PREFERRED_PROVIDER="openai" # Optional, it's the default
# BIG_MODEL="gpt-4.1" # Optional, it's the default
# SMALL_MODEL="gpt-4.1-mini" # Optional, it's the default

Example 2a: Prefer Google (using GEMINI_API_KEY)

GEMINI_API_KEY="your-google-key"
OPENAI_API_KEY="your-openai-key" # Needed for fallback
PREFERRED_PROVIDER="google"
# BIG_MODEL="gemini-2.5-pro" # Optional, it's the default for Google pref
# SMALL_MODEL="gemini-2.5-flash" # Optional, it's the default for Google pref

Example 2b: Prefer Google (using Vertex AI with Application Default Credentials)

OPENAI_API_KEY="your-openai-key" # Needed for fallback
PREFERRED_PROVIDER="google"
VERTEX_PROJECT="your-gcp-project-id"
VERTEX_LOCATION="us-central1"
USE_VERTEX_AUTH=true
# BIG_MODEL="gemini-2.5-pro" # Optional, it's the default for Google pref
# SMALL_MODEL="gemini-2.5-flash" # Optional, it's the default for Google pref

Example 3: Use Direct Anthropic ("Just an Anthropic Proxy" Mode)

ANTHROPIC_API_KEY="sk-ant-..."
PREFERRED_PROVIDER="anthropic"
# BIG_MODEL and SMALL_MODEL are ignored in this mode
# haiku/sonnet requests are passed directly to Anthropic models

Use case: This mode enables you to use the proxy infrastructure (for logging, middleware, request/response processing, etc.) while still using actual Anthropic models rather than being forced to remap to OpenAI or Gemini.

Example 4: Use Specific OpenAI Models

OPENAI_API_KEY="your-openai-key"
GEMINI_API_KEY="your-google-key"
PREFERRED_PROVIDER="openai"
BIG_MODEL="gpt-4o" # Example specific model
SMALL_MODEL="gpt-4o-mini" # Example specific model

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. 🎁