Written by @xtekky & maintained by @hlohaus

By using this repository or any code related to it, you agree to the legal notice. The author is not responsible for any copies, forks, re-uploads made by other users, or anything else related to GPT4Free. This is the author's only account and repository. To prevent impersonation or irresponsible actions, please comply with the GNU GPL license this Repository uses.

[!Note] ^{Lastet version:}
^Stats:

pip install -U g4f

docker pull hlohaus789/g4f

🆕 What's New

Join our Telegram Channel: t.me/g4f_channel
Join our Discord Group: discord.gg/XfybzPXPH5
Explore the g4f Documentation (unfinished): g4f.mintlify.app | Contribute to the docs via: github.com/xtekky/gpt4free-docs

Feedback

You can always leave some feedback here: https://forms.gle/FeWV9RLEedfdkmFN6

To do

As per the survey, here is a list of improvements to come

golang implementation
Improve Documentation (on g4f.mintlify.app) & Do video tutorials
Improve the provider status list & updates
Tutorials on how to reverse sites to write your own wrapper (PoC only ofc)
Improve the Bing wrapper. (might write a new wrapper in golang as it is very fast)
Write a standard provider performance test to improve the stability
update the repository to include the new openai library syntax (ex: Openai() class)
Potential support and development of local models
improve compatibility and error handling

📚 Table of Contents

🆕 What's New
📚 Table of Contents
🛠️ Getting Started
💡 Usage
🚀 Providers and Models
- GPT-4
- GPT-3.5
- Other
- Models
🔗 Related GPT4Free Projects
🤝 Contribute
- Create Provider with AI Tool
- Create Provider
🙌 Contributors
©️ Copyright
⭐ Star History
📄 License

🛠️ Getting Started

Docker container

Quick start:

Download and install Docker
Pull latest image and run the container:

docker pull hlohaus789/g4f
docker run -p 8080:8080 -p 1337:1337 -p 7900:7900 --shm-size="2g" hlohaus789/g4f:latest

Open the included client on: http://localhost:8080/chat/ or set the api base in your client to: http://localhost:1337/v1
(Optional) If you need to log in to a provider, you can view the desktop from the container here: http://localhost:7900/?autoconnect=1&resize=scale&password=secret.

Use python

Prerequisites:

Download and install Python (Version 3.10+ is recommended).
Install Google Chrome for providers with webdriver

Install using pypi:

Install all supported tools / all used packages:

pip install -U g4f[all]

Or use: Partially Requirements

Install from source:

Clone the GitHub repository:

git clone https://github.com/xtekky/gpt4free.git

Navigate to the project directory:

cd gpt4free

(Recommended) Create a Python virtual environment: You can follow the Python official documentation for virtual environments.

python3 -m venv venv

Activate the virtual environment:
- On Windows: .\venv\Scripts\activate
- On macOS and Linux: source venv/bin/activate
Install minimum requirements:

pip install -r requirements-min.txt

Or install all used Python packages from requirements.txt:

pip install -r requirements.txt

Create a test.py file in the root folder and start using the repo, further Instructions are below

import g4f
...

Install using Docker

Or use: Build Docker

💡 Usage

Image Generation

from g4f.client import Client

client = Client()
response = client.images.generate(
  model="gemini",
  prompt="a white siamese cat",
  ...
)
image_url = response.data[0].url

Result:

Text Generation

and more:

Web UI

To start the web interface, type the following codes in the command line.

from g4f.gui import run_gui
run_gui()

Cookies / Access Token

For generating images with Bing and for the OpenAi Chat you need cookies or a token from your browser session. From Bing you need the "_U" cookie and from OpenAI you need the "access_token". You can pass the cookies / the access token in the create function or you use the set_cookies setter:

from g4f import set_cookies

set_cookies(".bing.com", {
  "_U": "cookie value"
})
set_cookies("chat.openai.com", {
  "access_token": "token value"
})

from g4f.gui import run_gui
run_gui()

Alternatively, g4f reads the cookies with “browser_cookie3” from your browser or it starts a browser instance with selenium "webdriver" for logging in. If you use the pip package, you have to install “browser_cookie3” or "webdriver" by yourself.

pip install browser_cookie3
pip install g4f[webdriver]

Proxy and Timeout Support

All providers support specifying a proxy and increasing timeout in the create functions.

import g4f

response = g4f.ChatCompletion.create(
    model=g4f.models.default,
    messages=[{"role": "user", "content": "Hello"}],
    proxy="http://host:port",
    # or socks5://user:pass@host:port
    timeout=120,  # in secs
)

print(f"Result:", response)

You can also set a proxy globally via an environment variable:

export G4F_PROXY="http://host:port"

Interference openai-proxy API (Use with openai python package)

Run interference API from PyPi package

from g4f.api import run_api

run_api()

Run interference API from repo

If you want to use the embedding function, you need to get a Hugging Face token. You can get one at Hugging Face Tokens. Make sure your role is set to write. If you have your token, just use it instead of the OpenAI api-key.

Run server:

g4f api

python -m g4f.api.run

from openai import OpenAI

client = OpenAI(
    # Set your Hugging Face token as the API key if you use embeddings
    api_key="YOUR_HUGGING_FACE_TOKEN",

    # Set the API base URL if needed, e.g., for a local development environment
    base_url="http://localhost:1337/v1"
)


def main():
    chat_completion = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": "write a poem about a tree"}],
        stream=True,
    )

    if isinstance(chat_completion, dict):
        # Not streaming
        print(chat_completion.choices[0].message.content)
    else:
        # Streaming
        for token in chat_completion:
            content = token.choices[0].delta.content
            if content is not None:
                print(content, end="", flush=True)


if __name__ == "__main__":
    main()

API usage (POST)

Chat completions

Send the POST request to /v1/chat/completions with body containing the model method. This example uses python with requests library:

import requests
url = "http://localhost:1337/v1/chat/completions"
body = {
    "model": "gpt-3.5-turbo-16k",
    "stream": False,
    "messages": [
        {"role": "assistant", "content": "What can you do?"}
    ]
}
json_response = requests.post(url, json=body).json().get('choices', [])

for choice in json_response:
    print(choice.get('message', {}).get('content', ''))

🚀 Providers and Models

GPT-4

Website	Provider	GPT-3.5	GPT-4	Stream	Auth
bing.com	`g4f.Provider.Bing`	❌	✔️	✔️	❌
free.chatgpt.org.uk	`g4f.Provider.FreeChatgpt`	✔️	✔️	✔️	❌
liaobots.site	`g4f.Provider.Liaobots`	✔️	✔️	✔️	❌
chat.openai.com	`g4f.Provider.OpenaiChat`	✔️	✔️	✔️	✔️
raycast.com	`g4f.Provider.Raycast`	✔️	✔️	✔️	✔️
beta.theb.ai	`g4f.Provider.Theb`	✔️	✔️	✔️	❌
chat.geekgpt.org	`g4f.Provider.GeekGpt`	✔️	✔️	✔️	❌

GPT-3.5

Website	Provider	GPT-3.5	GPT-4	Stream	Auth
chat3.aiyunos.top	`g4f.Provider.AItianhuSpace`	✔️	❌	✔️	❌
aichatonline.org	`g4f.Provider.AiChatOnline`	✔️	❌	✔️	❌
openchat.team	`g4f.Provider.Aura`	✔️	❌	✔️	❌
chatbase.co	`g4f.Provider.ChatBase`	✔️	❌	✔️	❌
chatforai.store	`g4f.Provider.ChatForAi`	✔️	❌	✔️	❌
chatgpt.ai	`g4f.Provider.ChatgptAi`	✔️	❌	✔️	❌
chat.chatgptdemo.net	`g4f.Provider.ChatgptDemo`	✔️	❌	✔️	❌
chatgpt-free.cc	`g4f.Provider.ChatgptNext`	✔️	❌	✔️	❌
chat.3211000.xyz	`g4f.Provider.Chatxyz`	✔️	❌	✔️	❌
gptalk.net	`g4f.Provider.GPTalk`	✔️	❌	✔️	❌
geminiprochat.com	`g4f.Provider.GeminiProChat`	✔️	❌	✔️	❌
gpt6.ai	`g4f.Provider.Gpt6`	✔️	❌	✔️	❌
gptchatly.com	`g4f.Provider.GptChatly`	✔️	❌	❌	❌
ai18.gptforlove.com	`g4f.Provider.GptForLove`	✔️	❌	✔️	❌
gptgo.ai	`g4f.Provider.GptGo`	✔️	❌	✔️	❌
gpttalk.ru	`g4f.Provider.GptTalkRu`	✔️	❌	✔️	❌
koala.sh	`g4f.Provider.Koala`	✔️	❌	✔️	❌
app.myshell.ai	`g4f.Provider.MyShell`	✔️	❌	✔️	❌
onlinegpt.org	`g4f.Provider.OnlineGpt`	✔️	❌	✔️	❌
perplexity.ai	`g4f.Provider.PerplexityAi`	✔️	❌	✔️	❌
poe.com	`g4f.Provider.Poe`	✔️	❌	✔️	✔️
talkai.info	`g4f.Provider.TalkAi`	✔️	❌	✔️	❌
you.com	`g4f.Provider.You`	✔️	❌	✔️	❌
aitianhu.com	`g4f.Provider.AItianhu`	✔️	❌	✔️	❌
e.aiask.me	`g4f.Provider.AiAsk`	✔️	❌	✔️	❌
chatgpt.bestim.org	`g4f.Provider.Bestim`	✔️	❌	✔️	❌
chatanywhere.cn	`g4f.Provider.ChatAnywhere`	✔️	❌	✔️	❌
chatgpt4online.org	`g4f.Provider.Chatgpt4Online`	✔️	❌	✔️	❌
chat.chatgptdemo.ai	`g4f.Provider.ChatgptDemoAi`	✔️	❌	✔️	❌
chatgptfree.ai	`g4f.Provider.ChatgptFree`	✔️	❌	❌	❌
chatgptlogin.ai	`g4f.Provider.ChatgptLogin`	✔️	❌	✔️	❌
chatgptx.de	`g4f.Provider.ChatgptX`	✔️	❌	✔️	❌
chat-shared2.zhile.io	`g4f.Provider.FakeGpt`	✔️	❌	✔️	❌
freegpts1.aifree.site	`g4f.Provider.FreeGpt`	✔️	❌	✔️	❌
gptgod.site	`g4f.Provider.GptGod`	✔️	❌	✔️	❌
hashnode.com	`g4f.Provider.Hashnode`	✔️	❌	✔️	❌
sdk.vercel.ai	`g4f.Provider.Vercel`	✔️	❌	✔️	❌
chat.ylokh.xyz	`g4f.Provider.Ylokh`	✔️	❌	✔️	❌

Other

Website	Provider	GPT-3.5	GPT-4	Stream	Auth
bard.google.com	`g4f.Provider.Bard`	❌	❌	❌	✔️
deepinfra.com	`g4f.Provider.DeepInfra`	❌	❌	✔️	❌
gemini.google.com	`g4f.Provider.Gemini`	❌	❌	❌	✔️
huggingface.co	`g4f.Provider.HuggingChat`	❌	❌	✔️	❌
llama2.ai	`g4f.Provider.Llama2`	❌	❌	✔️	❌
labs.perplexity.ai	`g4f.Provider.PerplexityLabs`	❌	❌	✔️	❌
phind.com	`g4f.Provider.Phind`	❌	❌	✔️	❌
pi.ai	`g4f.Provider.Pi`	❌	❌	✔️	❌
theb.ai	`g4f.Provider.ThebApi`	❌	❌	❌	✔️
open-assistant.io	`g4f.Provider.OpenAssistant`	❌	❌	✔️	✔️

Models

Model	Base Provider	Provider	Website
gpt-3.5-turbo	OpenAI	5+ Providers	openai.com
gpt-4	OpenAI	2+ Providers	openai.com
gpt-4-turbo	OpenAI	g4f.Provider.Bing	openai.com
Llama-2-7b-chat-hf	Huggingface	2+ Providers	huggingface.co
Llama-2-13b-chat-hf	Huggingface	2+ Providers	huggingface.co
Llama-2-70b-chat-hf	Huggingface	4+ Providers	huggingface.co
CodeLlama-34b-Instruct-hf	Huggingface	3+ Providers	huggingface.co
Mixtral-8x7B-Instruct-v0.1	Huggingface	3+ Providers	huggingface.co
Mistral-7B-Instruct-v0.1	Huggingface	3+ Providers	huggingface.co
dolphin-2.6-mixtral-8x7b	Huggingface	g4f.Provider.DeepInfra	huggingface.co
lzlv_70b_fp16_hf	Huggingface	g4f.Provider.DeepInfra	huggingface.co
airoboros-70b	Huggingface	g4f.Provider.DeepInfra	huggingface.co
airoboros-l2-70b-gpt4-1.4.1	Huggingface	g4f.Provider.DeepInfra	huggingface.co
openchat_3.5	Huggingface	2+ Providers	huggingface.co
gemini	Google	g4f.Provider.Gemini	gemini.google.com
gemini-pro	Google	2+ Providers	gemini.google.com
claude-v2	Anthropic	2+ Providers	anthropic.com
pi	Inflection	g4f.Provider.Pi	inflection.ai

🔗 Related GPT4Free Projects

🎁 Projects	⭐ Stars	📚 Forks	🛎 Issues	📬 Pull requests
gpt4free
gpt4free-ts
Free AI API's & Potential Providers List
ChatGPT-Clone
ChatGpt Discord Bot
Nyx-Bot (Discord)
LangChain gpt4free
ChatGpt Telegram Bot
ChatGpt Line Bot
Action Translate Readme
Langchain Document GPT
python-tgpt

🤝 Contribute

Create Provider with AI Tool

Call in your terminal the create_provider.py script:

python etc/tool/create_provider.py

Enter your name for the new provider.
Copy and paste the cURL command from your browser developer tools.
Let the AI create the provider for you.
Customize the provider according to your needs.

Create Provider

Check out the current list of potential providers, or find your own provider source!
Create a new file in g4f/Provider with the name of the Provider
Implement a class that extends BaseProvider.

from __future__ import annotations

from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider

class HogeService(AsyncGeneratorProvider):
    url                   = "https://chat-gpt.com"
    working               = True
    supports_gpt_35_turbo = True

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        proxy: str = None,
        **kwargs
    ) -> AsyncResult:
        yield ""

Here, you can adjust the settings, for example, if the website does support streaming, set supports_stream to True...
Write code to request the provider in create_async_generator and yield the response, even if it's a one-time response, do not hesitate to look at other providers for inspiration
Add the Provider Name in g4f/Provider/__init__.py

from .HogeService import HogeService

__all__ = [
  HogeService,
]

You are done !, test the provider by calling it:

import g4f

response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.Provider.PROVIDERNAME,
                                    messages=[{"role": "user", "content": "test"}], stream=g4f.Provider.PROVIDERNAME.supports_stream)

for message in response:
    print(message, flush=True, end='')

🙌 Contributors

A list of the contributors is available here
The Vercel.py file contains code from vercel-llm-api by @ading2210, which is licensed under the GNU GPL v3
Top 1 Contributor: @hlohaus

©️ Copyright

This program is licensed under the GNU GPL v3

xtekky/gpt4free: Copyright (C) 2023 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.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

⭐ Star History

    <img width="500" alt="Star History Chart" src="https://api.star-history.com/svg?repos=xtekky/gpt4free&type=Date">

📄 License

This project is licensed under GNU_GPL_v3.0.

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