To fix this, ensure the request format is correct and that all required parameters are provided.
Here is the code snippet you can refer to:

In the above code we are using the following points:
- Proper API Key Handling: Uses os.environ to set the GOOGLE_API_KEY.
- Valid Model Selection: Ensures "gemini-pro" is used correctly.
- Correct Request Format: Uses generate_content() instead of incorrect methods.
- Error Handling: Catches and prints errors for debugging.
Hence, validating the API key, request format, model name, and quota limits resolves the "Response status code was unacceptable: 400" error when using Google Generative AI.