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README.md

GPT4Free (g4f)

PyPI Docker Hub License: GPL v3 PyPI Downloads

GPT4Free logo

Created by @xtekky,
maintained by @hlohaus

Support the project on GitHub Sponsors ❤️

Live demo & docs: https://g4f.dev | Documentation: https://g4f.dev/docs

GPT4Free (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.

This README is a consolidated, improved, and complete guide to installing, running, and contributing to GPT4Free.

Table of contents

What’s included

  • Python client library and async client.
  • Optional local web GUI.
  • FastAPI-based OpenAI-compatible API (Interference API).
  • Official browser JS client (g4f.dev distribution).
  • Docker images (full and slim).
  • Multi-provider adapters (LLMs, media providers, local inference backends).
  • Tooling for image/audio/video generation and media persistence.

Requirements & compatibility

  • Python 3.10+ recommended.
  • Google Chrome/Chromium for providers using browser automation.
  • Docker for containerized deployment.
  • Works on x86_64 and arm64 (slim image supports both).
  • Some provider adapters may require platform-specific tooling (Chrome/Chromium, etc.). Check provider docs for details.

Installation

  1. Install Docker: https://docs.docker.com/get-docker/
  2. Create persistent directories:
    • Example (Linux/macOS):
      mkdir -p ${PWD}/har_and_cookies ${PWD}/generated_media
sudo chown -R 1200:1201 ${PWD}/har_and_cookies ${PWD}/generated_media
  3. Pull image:
    docker pull hlohaus789/g4f
  4. Run container:
    docker run -p 8080:8080 -p 7900:7900 \
  --shm-size="2g" \
  -v ${PWD}/har_and_cookies:/app/har_and_cookies \
  -v ${PWD}/generated_media:/app/generated_media \
  hlohaus789/g4f:latest
    Notes:
  • Port 8080 serves GUI/API; 7900 can expose a VNC-like desktop for provider logins (optional).
  • Increase –shm-size for heavier browser automation tasks.

Slim Docker image (x64 & arm64)

mkdir -p ${PWD}/har_and_cookies ${PWD}/generated_media
chown -R 1000:1000 ${PWD}/har_and_cookies ${PWD}/generated_media

docker run \
  -p 1337:8080 -p 8080:8080 \
  -v ${PWD}/har_and_cookies:/app/har_and_cookies \
  -v ${PWD}/generated_media:/app/generated_media \
  hlohaus789/g4f:latest-slim

Notes:

  • The slim image can update the g4f package on startup and installs additional dependencies as needed.
  • In this example, the Interference API is mapped to 1337.

Windows Guide (.exe)

👉 Check out the Windows launcher for GPT4Free:
🔗 https://github.com/gpt4free/g4f.exe 🚀

  1. Download the release artifact g4f.exe.zip from: https://github.com/xtekky/gpt4free/releases/latest
  2. Unzip and run g4f.exe.
  3. Open GUI at: http://localhost:8080/chat/
  4. If Windows Firewall blocks access, allow the application.

Python Installation (pip / from source / partial installs)

Prerequisites:

Install from PyPI (recommended):

pip install -U g4f[all]

Partial installs

  • To install only specific functionality, use optional extras groups. See docs/requirements.md in the project docs.

Install from source:

git clone https://github.com/xtekky/gpt4free.git
cd gpt4free
pip install -r requirements.txt
pip install -e .

Notes:

  • Some features require Chrome/Chromium or other tools; follow provider-specific docs.

Running the app

GUI (web client)

  • Run via Python:
    from g4f.gui import run_gui
run_gui()
  • Or via CLI:
    python -m g4f.cli gui --port 8080 --debug
  • Open: http://localhost:8080/chat/

FastAPI / Interference API

  • Start FastAPI server:
    python -m g4f --port 8080 --debug
  • If using slim docker mapping, Interference API may be available at http://localhost:1337/v1
  • Swagger UI: http://localhost:1337/docs

CLI

  • Start GUI server:
    python -m g4f.cli gui --port 8080 --debug

MCP Server

GPT4Free now includes a Model Context Protocol (MCP) server that allows AI assistants like Claude to access web search, scraping, and image generation capabilities.

Starting the MCP server (stdio mode):

# Using g4f command
g4f mcp

# Or using Python module
python -m g4f.mcp

Starting the MCP server (HTTP mode):

# Start HTTP server on port 8765
g4f mcp --http --port 8765

# Custom host and port
g4f mcp --http --host 127.0.0.1 --port 3000

HTTP mode provides:

  • POST http://localhost:8765/mcp - JSON-RPC endpoint
  • GET http://localhost:8765/health - Health check

Configuring with Claude Desktop:

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "gpt4free": {
      "command": "python",
      "args": ["-m", "g4f.mcp"]
    }
  }
}

Available MCP Tools:

  • web_search - Search the web using DuckDuckGo
  • web_scrape - Extract text content from web pages
  • image_generation - Generate images from text prompts

For detailed MCP documentation, see g4f/mcp/README.md

Optional provider login (desktop within container)

  • Accessible at:
    http://localhost:7900/?autoconnect=1&resize=scale&password=secret
  • Useful for logging into web-based providers to obtain cookies/HAR files.

Using the Python client

Install:

pip install -U g4f[all]

Synchronous text example:

from g4f.client import Client

client = Client()
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello, how are you?"}],
    web_search=False
)
print(response.choices[0].message.content)

Expected:

Hello! How can I assist you today?

Image generation example:

from g4f.client import Client

client = Client()
response = client.images.generate(
    model="flux",
    prompt="a white siamese cat",
    response_format="url"
)
print(f"Generated image URL: {response.data[0].url}")

Async client example:

from g4f.client import AsyncClient
import asyncio

async def main():
    client = AsyncClient()
    response = await client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[{"role": "user", "content": "Explain quantum computing briefly"}],
    )
    print(response.choices[0].message.content)

asyncio.run(main())

Notes:

Using GPT4Free.js (browser JS client)

Use the official JS client in the browser—no backend required.

Example:

<script type="module">
  import Client from 'https://g4f.dev/dist/js/client.js';

  const client = new Client();
  const result = await client.chat.completions.create({
      model: 'gpt-4.1',  // Or "gpt-4o", "deepseek-v3", etc.
      messages: [{ role: 'user', content: 'Explain quantum computing' }]
  });
  console.log(result.choices[0].message.content);
</script>

Notes:

  • The JS client is distributed via the g4f.dev CDN for easy usage. Review CORS considerations and usage limits.

Providers & models (overview)

  • GPT4Free integrates many providers including (but not limited to) OpenAI-compatible endpoints, PerplexityLabs, Gemini, MetaAI, Pollinations (media), and local inference backends.
  • Model availability and behavior depend on provider capabilities. See the providers doc for current, supported provider/model lists: https://g4f.dev/docs/providers-and-models

Provider requirements may include:

  • API keys or tokens (for authenticated providers)
  • Browser cookies / HAR files for providers scraped via browser automation
  • Chrome/Chromium or headless browser tooling
  • Local model binaries and runtime (for local inference)

Local inference & media

  • GPT4Free supports local inference backends. See docs/local.md for supported runtimes and hardware guidance.
  • Media generation (image, audio, video) is supported through providers (e.g., Pollinations). See docs/media.md for formats, options, and sample usage.

Configuration & customization

  • Configure via environment variables, CLI flags, or config files. See docs/config.md.
  • To reduce install size, use partial requirement groups. See docs/requirements.md.
  • Provider selection: learn how to set defaults and override per-request at docs/selecting_a_provider.md.
  • Persistence: HAR files, cookies, and generated media persist in mapped directories (e.g., har_and_cookies, generated_media).

Running on smartphone

  • The web GUI is responsive and can be accessed from a phone by visiting your host IP:8080 or via a tunnel. See docs/guides/phone.md.

Interference API (OpenAI‑compatible)

  • The Interference API enables OpenAI-like workflows routed through GPT4Free provider selection.
  • Docs: docs/interference-api.md
  • Default endpoint (example slim docker): http://localhost:1337/v1
  • Swagger UI: http://localhost:1337/docs

Examples & common patterns

Contributing

Contributions are welcome — new providers, features, docs, and fixes are appreciated.

How to contribute:

  1. Fork the repository.
  2. Create a branch for your change.
  3. Run tests and linters.
  4. Open a Pull Request with a clear description and tests/examples if applicable.

Repository: https://github.com/xtekky/gpt4free

How to create a new provider

  • Read the guide: docs/guides/create_provider.md
  • Typical steps:
    • Implement a provider adapter in g4f/Provider/
    • Add configuration and dependency notes
    • Include tests and usage examples
    • Respect third‑party code licenses and attribute appropriately

How AI can help you write code

Security, privacy & takedown policy

  • Do not store or share sensitive credentials. Use per-provider recommended security practices.
  • If your site appears in the project’s links and you want it removed, send proof of ownership to takedown@g4f.ai and it will be removed promptly.
  • For production, secure the server with HTTPS, authentication, and firewall rules. Limit access to provider credentials and cookie/HAR storage.

Credits, contributors & attribution

Many more contributors are acknowledged in the repository.

Powered-by highlights

Changelog & releases

Manifesto / Project principles

GPT4Free is guided by community principles:

  1. Open access to AI tooling and models.
  2. Collaboration across providers and projects.
  3. Opposition to monopolistic, closed systems that restrict creativity.
  4. Community-centered development and broad access to AI technologies.
  5. Promote innovation, creativity, and accessibility.

https://g4f.dev/manifest

License

This program is licensed under the GNU General Public License v3.0 (GPLv3). See the full license: https://www.gnu.org/licenses/gpl-3.0.txt

Summary:

  • You may redistribute and/or modify under the terms of GPLv3.
  • The program is provided WITHOUT ANY WARRANTY.

Copyright notice

xtekky/gpt4free: Copyright (C) 2025 xtekky

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

Contact & sponsorship

Appendix: Quick commands & examples

Install (pip):

pip install -U g4f[all]

Run GUI (Python):

python -m g4f.cli gui --port 8080 --debug
# or
python -c "from g4f.gui import run_gui; run_gui()"

Docker (full):

docker pull hlohaus789/g4f
docker run -p 8080:8080 -p 7900:7900 \
  --shm-size="2g" \
  -v ${PWD}/har_and_cookies:/app/har_and_cookies \
  -v ${PWD}/generated_media:/app/generated_media \
  hlohaus789/g4f:latest

Docker (slim):

docker run -p 1337:8080 -p 8080:8080 \
  -v ${PWD}/har_and_cookies:/app/har_and_cookies \
  -v ${PWD}/generated_media:/app/generated_media \
  hlohaus789/g4f:latest-slim

Python usage patterns:

  • client.chat.completions.create(...)
  • client.images.generate(...)
  • Async variants via AsyncClient

Docs & deeper reading

Thank you for using and contributing to GPT4Free — together we make powerful AI tooling accessible, flexible, and community-driven.

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