How can I troubleshoot HTTP error responses like 400 403 when calling the Google Generative AI API

Question

Can you tell me how to troubleshoot HTTP error responses (like 400, 403) when calling the Google Generative AI API with the help of code?

Answer 1

Troubleshooting HTTP errors like 400 and 403 in the Google Generative AI API involves checking API key validity, request format, authentication settings, rate limits, and ensuring billing is enabled.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Secure API Key Management using environment variables.
• Handles HTTP Errors Gracefully with proper logging.
• Includes Timeout Handling to prevent API hangs.
• Checks for API Key, Billing, and Rate Limits dynamically.
• Provides Clear Debugging Messages for troubleshooting.

Hence, troubleshooting Google Generative AI API errors like 400 and 403 requires validating API keys, fixing request formats, enabling billing, handling rate limits, and implementing structured error logging.