Trigger a pipeline from Python Client

Trigger a pipeline using the ZenML Client.

This is a ZenML Pro only feature. Please sign up here get access. OSS users can only trigger a pipeline by calling the pipeline function inside their runner script.

Triggering a pipeline from the Python client only works with pipelines that are configured with a remote stack (i.e. at least a remote orchestrator, artifact store, and container registry)

from zenml.client import Client
from zenml.config.pipeline_run_configuration import PipelineRunConfiguration

if __name__ == "__main__":
    run_config = PipelineRunConfiguration(steps={"trainer": {"parameters": {"data_artifact_id": data_artifact_id}}})
    Client().trigger_pipeline("training_pipeline", run_configuration=run_config)

Read more about the PipelineRunConfiguration object in the SDK Docs.

Learn how to run a pipeline directly from another

Learn how to run a pipeline from the REST API