[FIXED] GCP Vertex AI "Enable necessary APIs" when already enabled

Issue

I am new to GCP's Vertex AI and suspect I am running into an error from my lack of experience, but Googling the answer has brought me no fruitful information.

I created a Jupyter Notebook in AI Platform but wanted to schedule it to run at a set period of time. So I was hoping to use Vertex AI's Execute function. At first when I tried accessing Vertex I was unable to do so because the API had not been enabled in GCP. My IT team then enabled the Vertex AI API and I can now utilize Vertex. Here is a picture showing it is enabled. Enabled API Picture

I uploaded my notebook to a JupyterLab instance in Vertex, and when I click on the Execute button, I get an error message saying I need to "Enable necessary APIs", specifically for Vertex AI API. I'm not sure why this is considering it's already been enabled. I try to click Enable, but it just spins and spins, and then I can only get out of it by closing or reloading the tab.

One other thing I want to call out in case it's a settings issue is that currently my Managed Notebooks tab says "PREVIEW" in the Workbench. I started thinking maybe this was an indicator that there was a separate feature that needed to be enabled to use Managed Notebooks (which is where I can access the Execute button from). When I click on the User-Managed Notebooks and open JupyterLab from there, I don't have the Execute button.

The GCP account I'm using does have billing enabled.

Can anyone point me in the right direction to getting the Execute button to work?

Solution

Based on @JamesS comments, the issue was solved by adding necessary permissions on his individual account since it is the account configured on OP's Managed Notebook Instance in which has an access mode of Single user only.

Based on my testing when I tried to replicate the scenario, "Enable necessary APIs" message box will continue to show when the user has no "Vertex AI User" role assigned to it. And in conclusion of my testing, below are the minimum roles required when trying to create a Scheduled run on a Managed Notebook Instance.

• Notebook Admin - For access of the notebook instance and open it through Jupyter. User will be able to run written codes in the Notebook as well.
• Vertex AI User - So that the user can create schedule run on the notebook instance since the creation of the scheduled run is under the Vertex AI API itself.
• Storage Admin - Creation of scheduled run will require a Google Cloud Storage bucket location where the job will be saved

Posting the answer as community wiki for the benefit of the community that might encounter this use case in the future.

Feel free to edit this answer for additional information.

Answered By - Scott B