Another option would be to do
task.close() task.reset()And then execute an agent to pick up that task, but I don’t think reset is part of the public API. Is this risky?

Hi SuperiorPanda77 , I'm not sure I understand, can you elaborate on the specific use case?

Hi CostlyOstrich36 , thanks for getting back to me!

I want to launch multiple tasks from one python process to be run by multiple agents simultaneously.

My current process for launching one task remotely is to use task.execute_remotely , and then I separately spin up a VM and execute a ClearML agent on that VM with the task ID.

Ideally, I would like to create multiple tasks in this way - so do Task.init(…) , set up some configuration, and then task.execute_remotely in a loop.

I can’t do this as execute_remotely exits the process unless clone=True , which I don’t really want to do.

Let me know if I can clarify further

I guess two more straightforward questions:

Could it be made possible for task.execute_remotely(clone=False, exit_process=False) to not raise an exception? Im happy work on a PR if this would be possible Is there any issue to having task.reset() in the public API/is there any potential issues with using?

Hi @<1523701092473376768:profile|SuperiorPanda77> , I think a PR would always be appreciated. I don't see any issues with using task.reset()

Will do! What’s the process for adding task.reset to the public API, just adding it to the docs?

You already have it : )
None

Ah right, nice! I didn’t think it was as I couldn’t see it in the Task reference , should it be there too?

And here is a PR for the other part.