Introduction
Grok is an AI chat service provided by Ace Data Cloud, part of the xAI Grok series of large language models. Through the unified API of Ace Data Cloud, you can quickly integrate Grok using Python to achieve multi-turn conversations, system prompts, streaming output, JSON output mode, visual understanding, and more.Prerequisites
- Have an Ace Data Cloud account and obtain an API Token
- Python 3.7 or above environment
- Install the requests library:
pip install requests
Basic Usage
The main endpoint for calling the Grok API is:grok-3 model.Available models include:
grok-4, grok-4-1-fast, grok-3, grok-3-mini, grok-2-vision.
Complete Python code example:
YOUR_API_TOKEN with the actual token you obtained from the Ace Data Cloud platform.
Response Handling
After a successful call, the API returns data in JSON format. It is recommended to check the HTTP status code:Advanced Usage
For chat APIs, streaming output is supported to get real-time responses:Error Handling
Common error codes:| Status Code | Description |
|---|---|
| 401 | Authentication failed, please check API Token |
| 403 | Insufficient balance or no access permission |
| 429 | Request rate limit exceeded |
| 500 | Internal server error |
Next Steps
- Go to the Ace Data Cloud Console to obtain your API Token
- Check the API Documentation for full parameter details
- Review the Pricing Plans to understand costs

