\n \n\n\n [](https://g4f.dev/community-day-2026.html)\n\n
\n \n Created by @xtekky,
maintained by @hlohaus\n \n
\nSupport the project on\n \n GitHub Sponsors\n \n ❤️\n
\n\nLive demo & docs: https://g4f.dev | Documentation: https://g4f.dev/docs\n
\n\n---\n\nGPT4Free (g4f) is a community-driven project that aggregates multiple accessible providers and interfaces to make working with modern LLMs and media-generation models easier and more flexible. GPT4Free aims to offer multi-provider support, local GUI, OpenAI-compatible REST APIs, and convenient Python and JavaScript clients — all under a community-first license.\n\nThis README is a consolidated, improved, and complete guide to installing, running, and contributing to GPT4Free.\n\nTable of contents\n- [What’s included](#whats-included)\n- [Quick links](#quick-links)\n- [Requirements & compatibility](#requirements--compatibility)\n- [Installation](#installation)\n - [Docker (recommended)](#docker-recommended)\n - [Slim Docker image](#slim-docker-image)\n - [Windows (.exe)](#windows-exe)\n - [Python (pip / from source / partial installs)](#python-pip--from-source--partial-installs)\n- [Running the app](#running-the-app)\n - [GUI (web client)](#gui-web-client)\n - [FastAPI / Interference API](#fastapi--interference-api)\n - [CLI](#cli)\n - [Optional provider login (desktop in container)](#optional-provider-login-desktop-in-container)\n- [Using the Python client](#using-the-python-client)\n - [Synchronous text example](#synchronous-text-example)\n - [Image generation example](#image-generation-example)\n - [Async client example](#async-client-example)\n- [Using GPT4Free.js (browser JS client)](#using-gpt4freejs-browser-js-client)\n- [Providers & models (overview)](#providers--models-overview)\n- [Local inference & media](#local-inference--media)\n- [Configuration & customization](#configuration--customization)\n- [Running on smartphone](#running-on-smartphone)\n- [Interference API (OpenAI‑compatible)](#interference-api-openai-compatible)\n- [Examples & common patterns](#examples--common-patterns)\n- [Contributing](#contributing)\n - [How to create a new provider](#how-to-create-a-new-provider)\n - [How AI can help you write code](#how-ai-can-help-you-write-code)\n- [Security, privacy & takedown policy](#security-privacy--takedown-policy)\n- [Credits, contributors & attribution](#credits-contributors--attribution)\n- [Powered-by highlights](#powered-by-highlights)\n- [Changelog & releases](#changelog--releases)\n- [Manifesto / Project principles](#manifesto--project-principles)\n- [License](#license)\n- [Contact & sponsorship](#contact--sponsorship)\n- [Appendix: Quick commands & examples](#appendix-quick-commands--examples)\n\n---\n\n## What’s included\n- Python client library and async client.\n- Optional local web GUI.\n- FastAPI-based OpenAI-compatible API (Interference API).\n- Official browser JS client (g4f.dev distribution).\n- Docker images (full and slim).\n- Multi-provider adapters (LLMs, media providers, local inference backends).\n- Tooling for image/audio/video generation and media persistence.\n\n---\n\n## Quick links\n- Website & docs: https://g4f.dev | https://g4f.dev/docs \n- PyPI: https://pypi.org/project/g4f \n- Docker image: https://hub.docker.com/r/hlohaus789/g4f \n- Releases: https://github.com/xtekky/gpt4free/releases \n- Issues: https://github.com/xtekky/gpt4free/issues \n- Community: Telegram (https://telegram.me/g4f_channel) · Discord News (https://discord.gg/5E39JUWUFa) · Discord Support (https://discord.gg/qXA4Wf4Fsm)\n\n---\n\n## Requirements & compatibility\n- Python 3.10+ recommended.\n- Google Chrome/Chromium for providers using browser automation.\n- Docker for containerized deployment.\n- Works on x86_64 and arm64 (slim image supports both).\n- Some provider adapters may require platform-specific tooling (Chrome/Chromium, etc.). Check provider docs for details.\n\n---\n\n## Installation\n\n### Docker (recommended)\n1. Install Docker: https://docs.docker.com/get-docker/\n2. Create persistent directories:\n - Example (Linux/macOS):\n ```bash\n mkdir -p ${PWD}/har_and_cookies ${PWD}/generated_media\n sudo chown -R 1200:1201 ${PWD}/har_and_cookies ${PWD}/generated_media\n ```\n3. Pull image:\n ```bash\n docker pull hlohaus789/g4f\n ```\n4. Run container:\n ```bash\n docker run -p 8080:8080 -p 7900:7900 \\\n --shm-size=\"2g\" \\\n -v ${PWD}/har_and_cookies:/app/har_and_cookies \\\n -v ${PWD}/generated_media:/app/generated_media \\\n hlohaus789/g4f:latest\n ```\nNotes:\n- Port 8080 serves GUI/API; 7900 can expose a VNC-like desktop for provider logins (optional).\n- Increase --shm-size for heavier browser automation tasks.\n\n### Slim Docker image (x64 & arm64)\n```bash\nmkdir -p ${PWD}/har_and_cookies ${PWD}/generated_media\nchown -R 1000:1000 ${PWD}/har_and_cookies ${PWD}/generated_media\n\ndocker run \\\n -p 1337:8080 -p 8080:8080 \\\n -v ${PWD}/har_and_cookies:/app/har_and_cookies \\\n -v ${PWD}/generated_media:/app/generated_media \\\n hlohaus789/g4f:latest-slim\n```\nNotes:\n- The slim image can update the g4f package on startup and installs additional dependencies as needed.\n- In this example, the Interference API is mapped to 1337.\n\n### Windows Guide (.exe)\n\n👉 Check out the Windows launcher for GPT4Free: \n🔗 [https://github.com/gpt4free/g4f.exe](https://github.com/gpt4free/g4f.exe) 🚀 \n\n1. Download the release artifact `g4f.exe.zip` from:\n https://github.com/xtekky/gpt4free/releases/latest\n2. Unzip and run `g4f.exe`.\n3. Open GUI at: http://localhost:8080/chat/\n4. If Windows Firewall blocks access, allow the application.\n\n### Python Installation (pip / from source / partial installs)\n\nPrerequisites:\n- Python 3.10+ (https://www.python.org/downloads/)\n- Chrome/Chromium for some providers.\n\nInstall from PyPI (recommended):\n```bash\npip install -U g4f[all]\n```\n\nPartial installs\n- To install only specific functionality, use optional extras groups. See docs/requirements.md in the project docs.\n\nInstall from source:\n```bash\ngit clone https://github.com/xtekky/gpt4free.git\ncd gpt4free\npip install -r requirements.txt\npip install -e .\n```\n\nNotes:\n- Some features require Chrome/Chromium or other tools; follow provider-specific docs.\n\n---\n\n## Running the app\n\n### GUI (web client)\n- Run via Python:\n```python\nfrom g4f.gui import run_gui\nrun_gui()\n```\n- Or via CLI:\n```bash\npython -m g4f.cli gui --port 8080 --debug\n```\n- Open: http://localhost:8080/chat/\n\n### FastAPI / Interference API\n- Start FastAPI server:\n```bash\npython -m g4f --port 8080 --debug\n```\n- If using slim docker mapping, Interference API may be available at `http://localhost:1337/v1`\n- Swagger UI: `http://localhost:1337/docs`\n\n### CLI\n- Start GUI server:\n```bash\npython -m g4f.cli gui --port 8080 --debug\n```\n\n### MCP Server\nGPT4Free now includes a Model Context Protocol (MCP) server that allows AI assistants like Claude to access web search, scraping, and image generation capabilities.\n\n**Starting the MCP server (stdio mode):**\n```bash\n# Using g4f command\ng4f mcp\n\n# Or using Python module\npython -m g4f.mcp\n```\n\n**Starting the MCP server (HTTP mode):**\n```bash\n# Start HTTP server on port 8765\ng4f mcp --http --port 8765\n\n# Custom host and port\ng4f mcp --http --host 127.0.0.1 --port 3000\n```\n\nHTTP mode provides:\n- `POST http://localhost:8765/mcp` - JSON-RPC endpoint\n- `GET http://localhost:8765/health` - Health check\n\n**Configuring with Claude Desktop:**\n\nAdd to your `claude_desktop_config.json`:\n```json\n{\n \"mcpServers\": {\n \"gpt4free\": {\n \"command\": \"python\",\n \"args\": [\"-m\", \"g4f.mcp\"]\n }\n }\n}\n```\n\n**Available MCP Tools:**\n- `web_search` - Search the web using DuckDuckGo\n- `web_scrape` - Extract text content from web pages \n- `image_generation` - Generate images from text prompts\n\nFor detailed MCP documentation, see [g4f/mcp/README.md](g4f/mcp/README.md)\n\n### Optional provider login (desktop within container)\n- Accessible at:\n ```\n http://localhost:7900/?autoconnect=1&resize=scale&password=secret\n ```\n- Useful for logging into web-based providers to obtain cookies/HAR files.\n\n---\n\n## Using the Python client\n\nInstall:\n```bash\npip install -U g4f[all]\n```\n\nSynchronous text example:\n```python\nfrom g4f.client import Client\n\nclient = Client()\nresponse = client.chat.completions.create(\n model=\"gpt-4o-mini\",\n messages=[{\"role\": \"user\", \"content\": \"Hello, how are you?\"}],\n web_search=False\n)\nprint(response.choices[0].message.content)\n```\nExpected:\n```\nHello! How can I assist you today?\n```\n\nImage generation example:\n```python\nfrom g4f.client import Client\n\nclient = Client()\nresponse = client.images.generate(\n model=\"flux\",\n prompt=\"a white siamese cat\",\n response_format=\"url\"\n)\nprint(f\"Generated image URL: 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