base on The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5 # GPT4Free (g4f) [](https://pypi.org/project/g4f) [](https://hub.docker.com/r/hlohaus789/g4f) [](https://www.gnu.org/licenses/gpl-3.0.txt) <p align="center"> <img src="https://github.com/user-attachments/assets/7f60c240-00fa-4c37-bf7f-ae5cc20906a1" alt="GPT4Free logo" height="200" /> </p> <p align="center"> <span style="background: linear-gradient(45deg, #12c2e9, #c471ed, #f64f59); -webkit-background-clip: text; -webkit-text-fill-color: transparent;"> <strong>Created by <a href="https://github.com/xtekky">@xtekky</a>,<br> maintained by <a href="https://github.com/hlohaus">@hlohaus</a></strong> </span> </p> <p align="center"> <span>Support the project on</span> <a href="https://github.com/sponsors/hlohaus" target="_blank" rel="noopener noreferrer"> GitHub Sponsors </a> ❤️ </p> <p align="center"> Live demo & docs: https://g4f.dev | Documentation: https://g4f.dev/docs </p> --- 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](#whats-included) - [Quick links](#quick-links) - [Requirements & compatibility](#requirements--compatibility) - [Installation](#installation) - [Docker (recommended)](#docker-recommended) - [Slim Docker image](#slim-docker-image) - [Windows (.exe)](#windows-exe) - [Python (pip / from source / partial installs)](#python-pip--from-source--partial-installs) - [Running the app](#running-the-app) - [GUI (web client)](#gui-web-client) - [FastAPI / Interference API](#fastapi--interference-api) - [CLI](#cli) - [Optional provider login (desktop in container)](#optional-provider-login-desktop-in-container) - [Using the Python client](#using-the-python-client) - [Synchronous text example](#synchronous-text-example) - [Image generation example](#image-generation-example) - [Async client example](#async-client-example) - [Using GPT4Free.js (browser JS client)](#using-gpt4freejs-browser-js-client) - [Providers & models (overview)](#providers--models-overview) - [Local inference & media](#local-inference--media) - [Configuration & customization](#configuration--customization) - [Running on smartphone](#running-on-smartphone) - [Interference API (OpenAI‑compatible)](#interference-api-openai-compatible) - [Examples & common patterns](#examples--common-patterns) - [Contributing](#contributing) - [How to create a new provider](#how-to-create-a-new-provider) - [How AI can help you write code](#how-ai-can-help-you-write-code) - [Security, privacy & takedown policy](#security-privacy--takedown-policy) - [Credits, contributors & attribution](#credits-contributors--attribution) - [Powered-by highlights](#powered-by-highlights) - [Changelog & releases](#changelog--releases) - [Manifesto / Project principles](#manifesto--project-principles) - [License](#license) - [Contact & sponsorship](#contact--sponsorship) - [Appendix: Quick commands & examples](#appendix-quick-commands--examples) --- ## 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. --- ## Quick links - Website & docs: https://g4f.dev | https://g4f.dev/docs - PyPI: https://pypi.org/project/g4f - Docker image: https://hub.docker.com/r/hlohaus789/g4f - Releases: https://github.com/xtekky/gpt4free/releases - Issues: https://github.com/xtekky/gpt4free/issues - Community: Telegram (https://telegram.me/g4f_channel) · Discord News (https://discord.gg/5E39JUWUFa) · Discord Support (https://discord.gg/qXA4Wf4Fsm) --- ## 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 ### Docker (recommended) 1. Install Docker: https://docs.docker.com/get-docker/ 2. Create persistent directories: - Example (Linux/macOS): ```bash mkdir -p ${PWD}/har_and_cookies ${PWD}/generated_media sudo chown -R 1200:1201 ${PWD}/har_and_cookies ${PWD}/generated_media ``` 3. Pull image: ```bash docker pull hlohaus789/g4f ``` 4. Run container: ```bash 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) ```bash 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) 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: - Python 3.10+ (https://www.python.org/downloads/) - Chrome/Chromium for some providers. Install from PyPI (recommended): ```bash 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: ```bash 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: ```python from g4f.gui import run_gui run_gui() ``` - Or via CLI: ```bash python -m g4f.cli gui --port 8080 --debug ``` - Open: http://localhost:8080/chat/ ### FastAPI / Interference API - Start FastAPI server: ```bash 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: ```bash python -m g4f.cli gui --port 8080 --debug ``` ### 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: ```bash pip install -U g4f[all] ``` Synchronous text example: ```python 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: ```python 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: ```python from g4f.async_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: - See the full API reference for streaming, tool-calling patterns, and advanced options: https://g4f.dev/docs/client --- ## Using GPT4Free.js (browser JS client) Use the official JS client in the browser—no backend required. Example: ```html <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](https://github.com/gpt4free/g4f.dev/blob/main/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](https://github.com/gpt4free/g4f.dev/blob/main/docs/media.md) for formats, options, and sample usage. --- ## Configuration & customization - Configure via environment variables, CLI flags, or config files. See [docs/config.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/config.md). - To reduce install size, use partial requirement groups. See [docs/requirements.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/requirements.md). - Provider selection: learn how to set defaults and override per-request at [docs/selecting_a_provider.md](https://github.com/gpt4free/g4f.dev/blob/main/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](https://github.com/gpt4free/g4f.dev/blob/main/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](https://github.com/gpt4free/g4f.dev/blob/main/docs/interference-api.md) - Default endpoint (example slim docker): `http://localhost:1337/v1` - Swagger UI: `http://localhost:1337/docs` --- ## Examples & common patterns - Streaming completions, stopping criteria, system messages, and tool-calling patterns are documented in: - [docs/client.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/client.md) - [docs/async_client.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/async_client.md) - [docs/requests.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/requests.md) - Integrations (LangChain, PydanticAI): [docs/pydantic_ai.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/pydantic_ai.md) - Legacy examples: [docs/legacy.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/legacy.md) --- ## 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](https://github.com/gpt4free/g4f.dev/blob/main/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 - See: [docs/guides/help_me.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/guides/help_me.md) for prompt templates and workflows to accelerate development. --- ## 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 [email protected] 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 - Core creators: [@xtekky](https://github.com/xtekky) (original), maintained by [@hlohaus](https://github.com/hlohaus). - Full contributor graph: https://github.com/xtekky/gpt4free/graphs/contributors - Notable code inputs and attributions: - `har_file.py` — input from [xqdoo00o/ChatGPT-to-API](https://github.com/xqdoo00o/ChatGPT-to-API) - `PerplexityLabs.py` — input from [nathanrchn/perplexityai](https://github.com/nathanrchn/perplexityai) - `Gemini.py` — input from [dsdanielpark/Gemini-API](https://github.com/dsdanielpark/Gemini-API) and [HanaokaYuzu/Gemini-API](https://github.com/HanaokaYuzu/Gemini-API) - `MetaAI.py` — inspired by [meta-ai-api by Strvm](https://github.com/Strvm/meta-ai-api) - `proofofwork.py` — input from [missuo/FreeGPT35](https://github.com/missuo/FreeGPT35) Many more contributors are acknowledged in the repository. --- ## Powered-by highlights - Pollinations AI — generative media: https://github.com/pollinations/pollinations - MoneyPrinter V2 — example project using GPT4Free: https://github.com/FujiwaraChoki/MoneyPrinterV2 - For a full list of projects and sites using GPT4Free, see: [docs/powered-by.md](https://github.com/gpt4free/g4f.dev/blob/main/docs/powered-by.md) --- ## Changelog & releases - Releases and full changelog: https://github.com/xtekky/gpt4free/releases - Subscribe to Discord/Telegram for announcements. --- ## 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 - Maintainers: https://github.com/hlohaus - Sponsorship: https://github.com/sponsors/hlohaus - Issues & feature requests: https://github.com/xtekky/gpt4free/issues - Takedown requests: [email protected] --- ## Appendix: Quick commands & examples Install (pip): ```bash pip install -U g4f[all] ``` Run GUI (Python): ```bash python -m g4f.cli gui --port 8080 --debug # or python -c "from g4f.gui import run_gui; run_gui()" ``` Docker (full): ```bash 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): ```bash 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 - Full docs: https://g4f.dev/docs - Client API docs: https://g4f.dev/docs/client - Async client docs: https://g4f.dev/docs/async_client - Provider guides: https://g4f.dev/docs/guides - Local inference: https://g4f.dev/docs/local --- Thank you for using and contributing to GPT4Free — together we make powerful AI tooling accessible, flexible, and community-driven.", Assign "at most 3 tags" to the expected json: {"id":"1692","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"