To authenticate and make HTTP POST requests to Vertex AI for Gemini AI, use service account credentials with Google's google-auth-library package.
Here is the code snippet you can refer to:

In the above code, we are using the following key points:
- Authenticate with Service Account: Use google-auth-library to obtain a Bearer token.
- Define API Endpoint: Replace YOUR_ENDPOINT_ID and location with appropriate values.
- Set Proper Headers: Include the Authorization token in the request headers.
- Handle Errors Gracefully: Log detailed errors for easier debugging.
Hence, by referring to the above, you can implement HTTP POST authentication for Gemini AI through Google Vertex AI using service account credentials in Node js.