GrokAiChat

A Python library for interacting with Grok AI through X's user account API. This project provides a clean interface for creating conversations, sending messages, and handling responses. Note: This uses the account user API, not the paid enterprise API. Grok AI is free for all X (Twitter) members.

Features

• 🤖 Full Grok API integration
• 📁 File upload support
• 💬 Conversation management
• 🛠️ Easy-to-use interface

Prerequisites

• Python 3.8 or higher
• A valid X (formerly Twitter) account
• Grok AI access (free for all X members)
• Your account's authentication tokens

Installation

1. Clone the repository:

   git clone https://github.com/vibheksoni/GrokAiChat.git
   cd GrokAiChat
   

2. Install dependencies:

   pip install -r requirements.txt
   

Configuration

1. Create a .env file in the project root:

   # Raw cookies string
   # Example: "cookie1=value1; cookie2=value2"
   COOKIES=""
   # CSRF token
   # Create a chat and send a message look at the headers of the request and check for the CSRF token
   X_CSRF_TOKEN=""
   # Bearer token
   # Create a chat and send a message look at the headers of the request and check for the Bearer token
   BEARER_TOKEN=""
   

2. To obtain your tokens:

   • Log into X.com
   • Open Developer Tools (F12)
   • Create a Grok chat
   • Find the tokens in the Network tab request headers

Account Requirements & Credentials

⚠️ IMPORTANT: You need:

1. A standard X account (Grok AI is free for all X members)
2. The following credentials from your account:

How to Get Your Credentials

1. Cookies:

   • Log into X.com
   • Open Developer Tools (F12) → Network tab
   • Interact with Grok
   • Find any request to x.com
   • Copy the entire cookie header value

2. X-CSRF-Token:

   • In the same Network tab
   • Look for x-csrf-token in request headers
   • It's usually a 32-character string

3. Bearer Token:

   • Find any request header containing authorization
   • Copy the token after "Bearer "
   • Usually starts with "AAAA..."

Store these in your .env file:

COOKIES="your_copied_cookie_string"
X_CSRF_TOKEN="your_csrf_token"
BEARER_TOKEN="your_bearer_token"

⚠️ Important Legal Warnings

1. Terms of Service: This project may violate X's Terms of Service. Use at your own risk.
2. Account Security:
   • Never share your credentials
   • Avoid excessive requests
   • Use reasonable rate limits
3. Compliance:
   • This tool is for educational purposes only
   • Commercial use may violate X's terms
   • You are responsible for how you use this code

Rate Limiting

To avoid account flags:

• Limit requests to reasonable human speeds
• Add delays between messages
• Don't automate mass messaging

Quick Start

from grok import Grok, GrokMessages
from dotenv import load_dotenv
import os

load_dotenv()
grok = Grok(
    os.getenv("BEARER_TOKEN"),
    os.getenv("X_CSRF_TOKEN"),
    os.getenv("COOKIES")
)

# Create a conversation
grok.create_conversation()

# Send a message
request = grok.create_message("grok-2")
grok.add_user_message(request, "Hello, Grok!")
response = grok.send(request)

# Parse and print response
messages = GrokMessages(response)
print(messages.get_full_message())

Advanced Usage

Check the examples/ directory for more advanced use cases:

• Basic chat interaction (chat.py)
• File attachments (chatwithfiles.py)
• Custom model parameters
• Response parsing

API Documentation

Main Classes

• Grok: Main interface for API interactions
• GrokMessages: Response parser and message handler

Full documentation is available in the code comments.

Contributing

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

Legal Notice

⚠️ Disclaimer: This project is for educational purposes only. Users are responsible for ensuring their usage complies with X's terms of service.

License

MIT License - See license file for details.

Author

Vibhek Soni

• Age: 19
• GitHub: @vibheksoni
• Project Link: GrokAiChat