Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching

Turn GitHub Copilot into OpenAI/Anthropic API compatible server. Usable with Claude Code!

LM inference server implementation based on *.cpp.

ThunderAI is a Thunderbird Addon that uses the capabilities of ChatGPT, Gemini, Claude or Ollama to enhance email management.

A text-to-speech and speech-to-text server compatible with the OpenAI API, supporting Whisper, FunASR, Bark, and CosyVoice backends.

Visual inference exploration & experimentation playground

Deploy open-source LLMs on AWS in minutes — with OpenAI-compatible APIs and a powerful CLI/SDK toolkit.

duck.ai openai compatible api server

A robust Node.js proxy server that automatically rotates API keys for Gemini and OpenAI APIs when rate limits (429 errors) are encountered. Built with zero dependencies and comprehensive logging.

An OpenAI Compatible API which integrates LLM, Embedding and Reranker. 一个集成 LLM、Embedding 和 Reranker 的 OpenAI 兼容 API

Demonstrates that Spring AI can be configured to work with OpenRouter so that you can work with multiple LLMs through a single Open AI compatible interface. Potentially helpful when evaluating the performance and quality of model responses.

An adapter to add OpenAI compatibility to your Hono app using the Vercel AI SDK

Spark-TTS Text-to-Speech with an OpenAI-compatible API, supporting seamless, unlimited-length generations. Includes a CLI interface.

Swarm: The Operating System for Autonomous AI. Go beyond simple task chaining—manage complex, self-correcting agent teams with integrated memory and LLM-as-a-Judge quality assurance.

Poe API - OpenAI Compatible Wrapper

OpenRouter model information

OpenAI compatible ChatBot API template with openapi standard

A unified interface for multiple LLM providers with automatic fallback, ensuring your AI applications remain resilient. This project features an OpenAI-compatible server for seamless integration, tool support for enhanced functionality. It supports a wide range of major providers

Tool-based LLM integration with Zenodo via the Model Context Protocol (MCP)

A FastAPI-powered REST API offering a comprehensive suite of natural language processing services using machine learning models with PyTorch and Transformers, packaged in a Docker container to run efficiently.