Introduction
Gemini is an AI chat service provided by Ace Data Cloud, based on the Google Gemini series large language models. Through the unified API of Ace Data Cloud, you can quickly integrate Gemini using Python to achieve multi-turn conversations, system prompts, streaming output, JSON output mode, and other features.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 Gemini API is:gemini-2.5-flash model.Available models include:
gemini-2.5-flash, gemini-2.5-pro, gemini-2.0-flash, gemini-3.0-pro.
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 rights |
| 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 complete parameter descriptions
- Review the Pricing Plans for cost details

