Glossary · Agents & tools
Checkpoint
A durable snapshot used to resume from a known boundary. In a workflow, it stores operational state and artifact references. In model training, it can store parameters, optimizer state, scheduler state, and the training position.
Why it matters
Long-running workflows and training runs can recover from interruption without replaying completed work or losing expensive progress.
In practice
Save an agent's accepted patch and test evidence after a verified step, or save a training run's weights, optimizer state, random state, and data position before shutdown.
Common confusion
A workflow checkpoint and a model-training checkpoint serve the same recovery goal but preserve different state. Neither is merely a transcript or a weights file with no resume metadata.
Related terms
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