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Documentation Index

Fetch the complete documentation index at: https://wb-21fd5541-style-guide-support-models-articles-20260527-00.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

This page shows you how to trace the relationships between runs and artifacts in W&B. You can find which run produced or consumed a given artifact, or which artifacts a given run produced or consumed. This is useful for auditing data lineage, debugging pipelines, and understanding how artifacts flow through your experiments. W&B tracks the artifacts that each run logs and uses to construct an artifact graph. This graph is a bipartite, directed, acyclic graph with nodes that represent runs and artifacts. See an example artifact graph and click Explode to expand the graph. Use the W&B Public API to navigate the graph programmatically, starting from either an artifact or a run. Choose the tab that matches your starting point.
api = wandb.Api()

artifact = api.artifact("[PROJECT]/[ARTIFACT]:[ALIAS]")

# Walk up the graph from an artifact:
producer_run = artifact.logged_by()
# Walk down the graph from an artifact:
consumer_runs = artifact.used_by()

# Walk down the graph from a run:
next_artifacts = consumer_runs[0].logged_artifacts()
# Walk up the graph from a run:
previous_artifacts = producer_run.used_artifacts()

Artifacts