Possible to deploy ADK workflow agent on a schedual/job? e..g run twise a day

[Allena101]

I am trying to figure out if it is possible to deploy and agent workflow (e.g. sequential workflow) that runs at specific times.

The use case would be a workflow that processes some data and emails.

I do understand that in most use cases with ADK you are not interested in this since the Agent is interacting with the user through prompt requests.

In all the tutorial i have found the Agent is deployed and running in "stand by" , i think as a rest API but i might be using the terminology wrong.

So does anyone know if its possible to run an ADK agent as a scheduled/job? Also can it be done using Vertex AI (which i am trying to learn right now together with ADK)

If there exists a text or video tutorial then that would be terrific! Since ADK is so new, there are not that many tutorials out there yet.

[dexhunter]

In all the tutorial i have found the Agent is deployed and running in "stand by"

You can run it as a job instead. The Python entry point creates a session, gives Runner a fixed start message, reads the events until the workflow is finished, and exits. It doesn't need an interactive user or a web server.

For your Google Cloud setup, put that script and the agent in a Cloud Run Job. Have Cloud Scheduler start it twice a day. The job can still call Gemini through Vertex AI; give its service account access to the required model and data services.

Google's scheduling guide covers setting up the trigger. Since the workflow sends emails, check your sent-email record before resending on a retry.