vertax ai api is not able to use in AWS EC2 server.

[Dongson77]

Help me to use vertax ai api properly..

im in doing a project nowadays. I got've a servere problem while i'm using vertax ai api. I was being happy when i got the ai propt answer at first in Development Environment in my private computer. but this ai code doesn't work in EC2 Server which throws an error says proper authentication is not proved. However I quite assure that I authenticated the processure of CGD... I did.
1) to make a project in google cloude console.
2) to generate json key of project service account.
3) to enable vertax ai api.
4) to relocate the json key from local to EC2 server.
5) to register the key in environment of EC2 server.
6) to acctivate the service account with the environemnt by the registered key.

proper login, json key. authentication...well 
I don't know the exact cause..

does the matter of using pretier? which google support $300 for begginers.

[MarvinLlamas]

Hi @Dongson77,

Welcome to Google Cloud Community!

It looks like you are encountering an authentication error with the Vertex AI API on an AWS EC2 server. The issue might be due to an incorrect key file path, insufficient permissions, or misconfigured environment variables.

According to this documentation: 

If you are running your application outside of Google Cloud, you need to provide credentials that are recognized by Google Cloud to use Google Cloud services.

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In addition, here are other potential ways that might help with your use case:

• Verify your Environment Variables: Ensure that your GOOGLE_APPLICATION_CREDENTIALS is properly set to the correct path of your service account JSON key file on your EC2 instance.
• Service account permissions: Make sure that your service account has the Vertex AI role or a custom role that grants the required permissions.
• Check your client library and its version: Ensure you're using the latest libraries and update the Vertex AI Python SDK with pip install google-cloud-aiplatform --upgrade. Confirm that your libraries are in the correct EC2 environment, verify your packages with pip list, and restart your server if needed.
• The $300 free trial: Ensure your usage stays within the $300 free trial's quota limits. These limits won't cause authentication errors but will trigger resource limit errors if exceeded.
• Error Logs: Make sure you review the error logs for detailed insights into the authentication failure, which can help identify the specific problem.
• Possible connectivity problem: Ensure your server can access Google APIs. Check that your EC2 security group's outbound rules allow traffic to Google API addresses.

You may refer to the documentation below, which offers essential insights into understanding, diagnosing, and resolving authentication issues:

• On-premises or on a different cloud provider
• Use a custom service account
• Access control with IAM
• Set up your environment

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