pass artifacts between kubeflow pipelines v2 components using dsl.input and dsl.output
domain: kubeflow.org/docs · 5 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
Annotate a component output parameter with Output[ArtifactType] (e.g. Output[Model], Output[Dataset], Output[Metrics]) so the backend provisions a path for the component to write to
Inside the component, write the artifact's contents to the provided .path attribute rather than returning it as a normal return value
Annotate a downstream component's input parameter with Input[ArtifactType] to receive that artifact by reference
Wire the pipeline function so the producing component's output artifact is passed as the argument to the consuming component's input parameter
Use the built-in Artifact, Dataset, Model, and Metrics classes for common cases, or define custom artifact subclasses for domain-specific artifact types
Known gotchas
Output[T] parameters are populated by the executing backend at runtime and must not be passed as a caller-supplied argument — only Input[T] parameters are supplied by the pipeline author
Artifacts are passed by reference/path, not by value — writing to the wrong path (not the provided .path) results in the artifact pointing to empty or missing data
Artifact type mismatches between a producer's Output[X] and a consumer's Input[Y] are a common source of pipeline compile-time or runtime errors
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