Manage Workflows
Rename, duplicate, and delete training workflows to keep your Datature Vi projects organized.
Workflows in Datature Vi are reusable training configurations. Each one stores a system prompt, dataset settings, and model parameters. This section covers how to keep workflows organized as your experiments grow: renaming them for clarity, duplicating them to test variations, and deleting ones you no longer need.
Workflow operations
Rename A Workflow
Update a workflow's display name without affecting its configuration or training history.
Duplicate A Workflow
Create an exact copy of a workflow to test variations while keeping the original intact.
Delete A Workflow
Permanently remove a workflow configuration. Completed training runs are not affected.
How workflows relate to runs
A workflow is a configuration template. A run is one execution of that template. Deleting a workflow does not delete the runs that used it, so your training history and trained models stay accessible. Renaming a workflow updates the display name only; the underlying workflow ID and all run associations remain unchanged.
Next steps
Updated 27 days ago