⚡️ TLS-based ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

🔥 PyChatGPT

Change Log

1.0.2

Update using pip install chatgptpy --upgrade

• ChatGPT API switches from action=next to action=variant, frequently. This library is now using action=variant instead of action=next to get the next response from the API.
• Sometimes when the server is overloaded, the API returns a 502 Bad Gateway error.
• Added Error handling if the auth.json file is not found/corrupt

1.0.0

• Initial Release via PyPi

⭐️ Like this repo? please star

💡 If OpenAI change their API, I will fix it as soon as possible, so Watch the repo if you want to be notified

I have been looking for a way to interact with the new Chat GPT API, but most of the sources here on GitHub require you to have a Chromium instance running in the background. or by using the Web Inspector to grab Access Token manually.

No more. I have been able to reverse engineer the API and use a TLS client to mimic a real user, allowing the script to login without setting off any bot detection techniques by Auth0

Basically, the script logs in on your behalf, using a TLS client, then grabs the Access Token. It's pretty fast.

Features

• Proxy Support
• Automatically login without involving a browser
• Automatically grab Access Token
• Get around the login captcha (If you try to log in subsequently, you will be prompted to solve a captcha)
• Saves the access token to a file, so you don't have to log in again
• Automatically refreshes the access token when it expires
• Uses colorama to colorize the output, because why not?
• Smart Conversation Tracking

Chatting

Creating a token

You: Hi there, My name is Rawa
Chat GPT: Hello Rawa, nice to meet you. Is there something you would like to talk about or ask me? I'm here to help with any questions you may have.
You: great, now say my name like Heisenberg
Chat GPT: Sure, Rawa like Heisenberg. Is there anything else you would like to talk about? I'm here to help with any questions you may have.
You: Sorry I meant like the episode of Breaking Bad where Walter White says Heisenberg
Chat GPT: Ah, I see. In that case, you could try saying it like this: "My name is Rawa, like Heisenberg." This is a reference to the character Walter White from the TV show Breaking Bad, who often used the pseudonym "Heisenberg" when conducting illegal activities. The character was known for his cool and calculated demeanor, so saying your name like Heisenberg in this context would mean saying it with confidence and authority.

Shall we get started?

1. Run

pip install chatgptpy --upgrade

That's it!

Start a CLI session?

from pychatgpt import Chat

chat = Chat(email="email", password="password")
chat.cli_chat()

Usage

from pychatgpt import Chat

# Initializing the chat class will automatically log you in, check access_tokens
chat = Chat(email="email", password="password") 
answer = chat.ask("Hello!")

Usage with a proxy

from pychatgpt import Chat

chat = Chat(email="email", password="password", proxies="http://localhost:8080")  # proxy is optional, type: str or dict
answer = chat.ask("Hello!")

You could also manually set, get the token

from pychatgpt import OpenAI

# Manually set the token
OpenAI.Auth.save_access_token(access_token="", expiry=0) 

# Get the token, expiry
access_token, expiry = OpenAI.Auth.get_access_token()

# Check if the token is valid
is_expired = OpenAI.Auth.token_expired() # Returns True or False

Other notes

If the token creation process is failing:

1. Try to use a proxy (I recommend using this always)
2. Don't try to log in too fast. At least wait 10 minutes if you're being rate limited.
3. If you're still having issues, try to use a VPN. On a VPN, the script should work fine.

What's next?

I'm planning to add a few more features, such as:

• A python module that can be imported and used in other projects
• A way to save the conversation
• Better error handling
• Multi-user chatting

The whole process

First, I'd like to tell you that "just making http" requests is not going to be enough, Auth0 is smart, each process is guarded by a state token, which is a JWT token. This token is used to prevent CSRF attacks, and it's also used to prevent bots from logging in. If you look at the auth.py file, there are over nine functions, each one of them is responsible for a different task, and they all work together to create a token for you. allow-redirects played a huge role in this, as it allowed to navigate through the login process

I work at MeshMonitors.io, We make amazing tools (Check it out yo!). I decided not to spend too much time on this, but here we are, I have been able to reverse engineer the API and use a TLS client to mimic a real user, allowing the script to login without setting off any bot detection techniques by Auth0

Why did I do this?

No one has been able to do this, and I wanted to see if I could.

Credits

• OpenAI for creating the ChatGPT API
• FlorianREGAZ for the TLS Client