GPT4Free aggregates multiple external LLM and media generation providers behind a unified, OpenAI-compatible interface. It offers local orchestration, a self-hosted web GUI, and client libraries, though actual inference relies heavily on those external services.
Project overview
It allows developers to route text, image, audio, and video generation requests through various external providers using a single local API or Python library.
Deployment
Refer to project documentation
License
GPL-3.0
Best for
Developers seeking a self-hosted orchestration layer or library to route OpenAI-compatible requests across various external LLM and media generation providers.
Key capabilities
Provides a Python client and async client to interact with various LLMs and media generation models using an OpenAI-like interface.
FastAPI-based Interference API enabling OpenAI-like workflows routed through GPT4Free provider selection.
An optional local web GUI to chat with models.
Official JavaScript client for browser usage without backend requirements.
Model Context Protocol server allowing AI assistants like Claude to access web search, scraping, and image generation capabilities.
Tooling for image/audio/video generation and media persistence.
Adapters for LLMs, media providers, and local inference backends.
Provides a CLI to start the GUI server and manage the application.
Limitations and risks
Some provider adapters may require platform-specific tooling like Chrome/Chromium, browser cookies, or HAR files to function.
External providers may be subject to takedowns or access limitations; the project handles takedown requests which may affect availability.
Getting started
Installation is rated easy due to simple pip installs, pre-built Docker images, and a Windows executable binary. The first success path involves installing via pip or Docker, running the GUI server command, and opening the localhost GUI in a browser.
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