actually not exactly, The parameter I wanted to pass is not an input parameter of the parent task, I would like to save it as an artifact or something like that.

Well if you save it as an artifact, that artifact is accessible by other tasks and passable via the pipeline with monitor_artifacts parameter in add_step()
https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#add_step

Dont sure if this a good solution for me since I wanted to add it as a paramater....
For example:
In dataset_creation utility I do this upload:
task.upload_artifact('id_of_running_creation', artifact_object=id_of_running)In Inference utility I do this upload:
task.upload_artifact('id_of_running_inference', artifact_object=id_of_running)and I would like to use them as a parameters to the next step of the pipeline run:
like this:
pipe.add_step( name='post_processing',...., parameter_override= {"General/id_of_running_creation": "${dataset_creation.artifacts.id_of_running_creation}", "General/id_of_running_inference": "${inference.artifacts.id_of_running_inference}"}...but it doesn't work since the artifact is a string ( I tried also with dataframe but then I cant change it to string before I execute the next step)

Hi SmugTurtle78 , I think you can set it up as follows (or something similar):
pipe.add_step( name="stage_train", parents=["stage_process"], base_task_project="examples", base_task_name="Pipeline step 3 train model", parameter_override={"General/dataset_task_id": "${stage_process.id}"}, )Note that in parameter_override I take a task id from a previous step and insert it into the configuration/parameters of the current step. Is that what you're looking for?