Error deploying Vertex AI Agent on App Engine: 'Configuration not authorized'

Other Questions AI Agent
1

I’m stuck with a problem while trying to set up a search application using Vertex AI Agent Builder and App Engine. Here’s what’s happening:

My Vertex AI search app and datastore are set up correctly. I’ve got a basic Flask app running on App Engine with an HTML template that includes the Gen App Builder client script and a search widget.

The app starts fine, and clicking the search input redirects to the agent page. But then I hit a roadblock:

Configuration is not authorized on [my-app-id].uc.r.appspot.com

I’m not sure what’s causing this. Has anyone run into this issue before? Any ideas on how to fix it?

Here’s a simplified version of my main Python file:

from flask import Flask, render_template

app = Flask(__name__)

@app.route('/')
def home():
    return render_template('search_page.html')

if __name__ == '__main__':
    app.run(debug=True)

Any help would be appreciated!

2

I had a similar issue when deploying my Vertex AI Agent on App Engine. I found that the problem was linked to the permissions of the App Engine default service account. I spent some time checking that the service account had the proper roles to access the Vertex AI resources. After verifying in the IAM & Admin section that the correct permissions were granted and confirming that the Vertex AI API was enabled for the project, I also reviewed the app.yaml configuration to ensure the correct project ID was in use. Addressing these steps resolved the configuration authorization error.

3

I’ve dealt with this ‘Configuration not authorized’ error before. It’s often related to domain authorization in the Vertex AI Agent Builder. Make sure you’ve added your App Engine domain (yourapp.uc.r.appspot.com) to the authorized domains list in the Agent Builder console. This step is easily overlooked but crucial.

Also, double-check your app.yaml file. Ensure it has the correct runtime specified and that your entrypoint is properly defined. Small errors here can cause unexpected issues.

Lastly, review your Google Cloud project’s OAuth consent screen settings. Your App Engine domain should be listed as an authorized domain there too. This additional authorization layer can sometimes be the key to resolving these Vertex AI Agent deployment problems on App Engine.

4

hEy there! i had this exact problem last week. turns out, I forgot to add the ‘roles/aiplatform.user’ role to my App Engine service account. check ur IAM settings and make sure that role is there. also, double-check ur app.yaml file - sometimes the project ID can be wonky. good luck!

5

This issue often stems from misconfigured permissions or API settings. Have you double-checked that the Vertex AI API is enabled for your project? Also, ensure your App Engine service account has the necessary roles to interact with Vertex AI resources. You might need to grant it the ‘Vertex AI User’ role or similar.

Another potential fix is to verify your app’s configuration. Check your app.yaml file to confirm it’s using the correct project ID. Sometimes, discrepancies there can cause authorization problems.

If those don’t work, try creating a new service account specifically for this app, with the minimum required permissions. This can help isolate any permission-related issues.

Lastly, double-check your Gen App Builder client script. Make sure it’s correctly configured with your project details and API key.

6

I encountered a similar issue when setting up my Vertex AI Agent on App Engine. One crucial step I overlooked was configuring the correct domain settings in the Vertex AI Agent Builder. Make sure you’ve added your App Engine domain (yourapp.uc.r.appspot.com) to the list of authorized domains in the Agent Builder console. This is often the root cause of the ‘Configuration not authorized’ error.

Additionally, check your app.yaml file for any misconfigurations. Ensure you’re using the correct runtime and that your entrypoint is properly defined. Sometimes, simple typos in this file can lead to unexpected authorization issues.

If these steps don’t resolve the problem, consider reviewing your Google Cloud project’s OAuth consent screen settings. Ensure that your App Engine domain is listed as an authorized domain there as well. This extra layer of authorization can sometimes be the missing piece in getting your Vertex AI Agent to play nice with App Engine.