New RunLLM response generated: >>>*# Question* Hi, is there a way to stop the wf with success after some task and skip remaining tasks without doing a conditional on every following task ? # Answer Flyte does not natively support stopping a workflow with success after a certain task without using conditionals for the remaining tasks. However, you can achieve a similar effect by using subworkflows and conditionals to manage the workflow's execution flow more cleanly. According to Flyte's discussion forum, one approach is to encapsulate the tasks you want to conditionally execute within a subworkflow. This way, you can use a conditional to decide whether to execute the subworkflow or not, effectively skipping the remaining tasks if a certain condition is met. Here's an example of how you can structure your workflow using subworkflows and conditionals:

from flytekit import task, workflow, conditional

@task
def preprocess():
    # Preprocessing logic
    return True  # or False based on some condition

@task
def train():
    # Training logic
    pass

@task
def evaluate():
    # Evaluation logic
    pass

@task
def deploy():
    # Deployment logic
    pass

@workflow
def subworkflow():
    train()
    evaluate()
    deploy()

@workflow
def main_workflow(preprocess_only: bool):
    preprocess_result = preprocess()
    
    conditional("preprocess_only").if_(preprocess_only.is_false()).then(
        subworkflow()
    )

# Example usage
main_workflow(preprocess_only=True)

In this example, the

main_workflow

will only execute the

subworkflow

(which contains the

train

,

evaluate

, and

deploy

tasks) if the

preprocess_only

parameter is

False

. Would you like more details on this or other potential solutions? Sources: - Flyte Discussion on Conditionals Slack Link https://flyte-org.slack.com/archives/CP2HDHKE1/p1723047802.637619 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.