LLM Mapper

LLM Mapper is an open-source project that allows seamless integration between OpenAI and Anthropic's Claude models. It acts as a bridge, translating API calls on-the-fly, enabling developers to leverage Claude's capabilities without changing their existing OpenAI-based codebase.

Features

• Seamless integration with existing OpenAI codebase
• Access to Anthropic's powerful Claude models
• No code changes required in your application
• Support for both streaming and non-streaming responses
• Open-source and free to use

Getting Started

To use LLM Mapper in your project, follow these simple steps:

1. Change the base URL in your OpenAI configuration:

const openai = new OpenAI({
  apiKey: process.env.ANTHROPIC_API_KEY,
  baseURL: "https://gateway.llmmapper.com/oai2ant/v1",
});

2. Start using Claude models:

const chatCompletion = await openai.chat.completions.create({
  model: "claude-3-opus-20240229",
  messages: [
    {
      role: "system",
      content: "You are a helpful assistant.",
    },
    {
      role: "user",
      content: "Tell me a short joke about programming.",
    },
  ],
  max_tokens: 100,
  stream: true,
});

How It Works

LLM Mapper intercepts your OpenAI API calls and translates them to Anthropic's API format. It handles both request and response transformations, ensuring compatibility between the two APIs.

Project Structure

worker/: Contains the Cloudflare Worker code for handling API requests web/: Next.js-based website for project documentation src/providers/: Implementation of OpenAI and Anthropic API interfaces src/router/: Request routing and processing logic

Contributing

We welcome contributions from the community! Here are some ways you can help: Report bugs: If you find a bug, please open an issue with a clear description and steps to reproduce. Suggest enhancements: Have ideas for new features? Open an issue to discuss them. Submit pull requests: Feel free to work on open issues or your own improvements and submit a PR.

Development Setup

Clone the repository:

git clone https://github.com/llmmapper/llmmapper.git

Install dependencies:

For the worker:

cd worker
yarn

Run tests:

yarn test

Start the development server:

yarn dev

Coding Standards

We use TypeScript for type safety Follow the existing code style (enforced by ESLint and Prettier) Write unit tests for new features or bug fixes

Supported and Tested Models

Source	Normal	Streaming	Tested Models	Notes
Anthropic	✅	✅	claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307, claude-2.1, claude-3-5-sonnet-20240620	Launched Beta 09/04/2024
Gemini	Coming soon	Coming soon	n/a	n/a

Future Plans

Add support for Gemini models Implement more OpenAI API features Improve error handling and logging