Hi SuccessfulKoala55 , thanks for the quick reply!

This is a stand-alone code, that creates a task, clones it, and enqueues the cloned task:
` def enqueue_task(trains_prms, task_name, task_type):

# Connect to trains
task = Task.init("OMD", task_name='Temp controller for ' + task_name, task_type=task_type) # , task_type=Task.TaskTypes.controller

# Select queue
trains_queue = "cpu_queue"

# Connect parameters
assert "is_controller_run" not in trains_prms
trains_prms["is_controller_run"] = True
trains_prms = task.connect(trains_prms)
print("Connected to trains")

if trains_prms["is_controller_run"]:

    # Controller work
    task.close()

    # Get a reference to the task to pipe to.
    next_task = Task.get_task(task_id=task.id)

    # Clone the task to pipe to. This creates a task with status Draft whose parameters can be modified.
    cloned_task = Task.clone(source_task=next_task, name=task_name)

    # Get the original parameters of the Task, modify the value of one parameter,
    #   and set the parameters in the next Task
    cloned_task_parameters = cloned_task.get_parameters()
    cloned_task_parameters["is_controller_run"] = False
    cloned_task.set_parameters(cloned_task_parameters)

    # Enqueue the Task for execution. The enqueued Task must already exist in the clearml platform
    print('Enqueue task: ' + task_name)
    Task.enqueue(cloned_task.id, queue_name=trains_queue)
    print('Enqueued task: ' + task_name)
    is_controller_run = True

    # Controller is finished
    return is_controller_run, trains_prms, -1

# Not the controller
return trains_prms["is_controller_run"], trains_prms, task `