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UseAPI

Interact with RunwayML through UseAPI
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Overview

This node enables interaction with the RunwayML platform via the UseAPI service. Specifically, the Delete Asset operation allows users to permanently delete an asset from their RunwayML account by specifying its unique Asset ID. This action is irreversible and requires explicit confirmation to proceed.

Typical use cases include:

  • Cleaning up unused or outdated assets in a RunwayML project.
  • Automating asset management workflows where assets need to be programmatically removed.
  • Integrating asset lifecycle management into larger automation pipelines.

Example: A user wants to delete a specific video or image asset identified by its Asset ID after processing it elsewhere, ensuring storage and project organization remain tidy.

Properties

Name Meaning
Asset ID The unique identifier of the asset to delete. Format: user:user_id-runwayml:account_email-asset:asset_uuid.
⚠️ Confirmation A boolean checkbox that must be checked to confirm permanent deletion of the asset. This action cannot be undone.

Output

The output JSON contains the response from the RunwayML API after attempting to delete the asset. Typically, this will include confirmation details or status information about the deletion request.

If the deletion is successful, the output confirms the removal of the specified asset. If unsuccessful, error details are provided in the output JSON.

No binary data output is produced by this operation.

Dependencies

  • Requires an active API key credential for UseAPI with access to RunwayML endpoints.
  • The node makes HTTP DELETE requests to the endpoint: https://api.useapi.net/v1/runwayml/assets/{assetId}.
  • Proper configuration of the API key credential in n8n is necessary for authentication.

Troubleshooting

  • Operation cancelled: You must confirm the deletion by checking the confirmation checkbox.
    This error occurs if the confirmation property is not set to true. To resolve, ensure you explicitly check the confirmation box to allow deletion.

  • Invalid or missing Asset ID.
    Ensure the Asset ID is correctly formatted and corresponds to an existing asset in your RunwayML account.

  • Authentication errors (e.g., 401 Unauthorized).
    Verify that the API key credential is correctly configured and has sufficient permissions.

  • Network or API errors.
    Check network connectivity and RunwayML service status. Review error messages returned in the output JSON for more details.

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