Delete a Workflow

Deleting a workflow in Datature Vi permanently removes its configuration (the system prompt, dataset settings, model parameters, and canvas layout). Training runs that used the workflow are not deleted. Their metrics, logs, and trained models remain fully accessible.

1

Open your training project

Go to Training in the sidebar and click the project containing the workflow you want to duplicate.

Next →

You should see

The workflow no longer appears in the workflows list. Existing training runs that referenced it remain intact in the Runs tab.

What gets deleted and what stays

Deleted immediately:

• Workflow configuration (system prompt, dataset settings, model parameters)
• Workflow name, description, and canvas layout

Not affected:

• Completed training runs that used the workflow (remain viewable with all metrics and logs)
• Trained model artifacts from those runs
• The source dataset
• Other workflows in the project

Note: If a training run is currently using the workflow, the platform will block deletion. Kill the active run first, then delete the workflow.

Do this with the Vi SDK

import vi

client = vi.Client(
    secret_key="your-secret-key",
    organization_id="your-organization-id"
)

client.flows.delete("your-flow-id")

For more details, see the full SDK reference.

Next steps