It does but not the OutputModel and the preprocess artifact. I managed to do it by adding:

if _task.artifacts.get(model_endpoint.preprocess_artifact):
    _task.delete_artifacts([model_endpoint.preprocess_artifact])
Model.remove(model_endpoint.model_id)

Maybe this should be add to the func_model_remove method?

Hi thank you for your answer, this command call the method func_model_remove which remove the endpoint , model_monitoring and canary_endpoint but it does not remove the OutputModel and the py_code_mymodel.py (preprocessing) from the serving service

Hi @<1683648242530652160:profile|ApprehensiveSeaturtle9> , using the clearml-serving model remove ... CLI command you can remove the model endpoint and all associated monitoring. This should also remove the model registered in the system.

@<1683648242530652160:profile|ApprehensiveSeaturtle9> when removing the endpoint, the function also internally removes the registered input model

Yes, I think you're correct - care to add a PR? 🙂