In the case of api call,

given that i have id of the task I want to stop, I would make a post request to [CLEARML_SERVER_URL]:8080/tasks.stop

with the request body set up like the one mentioned in the api?

Is there a quicker way to abort all running experiments in a project? I have over a thousand running anonymous data tasks in a specific project and I want to abort them before debugging them.

We are adding "select" all in the next UI version to do that as quickly as possible 🙂

I have a lot of anonymous tasks running which I would like to close immediately.

Can you please share the endpoint link?

As of yet, I can only select ones that are visible and to select more, i'll have to click on view more, which gets extremely slow.

Even though I ended my schedulers and triggers, the anonymous tasks keep increasing.

Can you give me an example url for the api call to stop_many?

VexedCat68 , you can iterate through all 'running' tasks in a project and abort them through the api. The endpoint is tasks.stop

Is there a code example for this.

I was going through the python api and the closest thing that resembled to my use case was task.close() however it didn't do anything.

Or
https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksstop_many

My bad, it's tasks.stop

https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksstop

https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksstop_many

That's the link