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Configure export jobs and export automations

Export VideoVector prompt data by index or run and configure persistent export automations per index.

sdk/videovector/resources/exports.pyapi/automation_controllers.pyfrontend/src/services/api.ts

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Summary

Use exports to package result data for download or connector delivery, then use export automations when the handoff should persist per index.

Export by index or by prompt run

Export by index when the consumer wants the collection view. Export by prompt run when the consumer wants one execution boundary.

export = client.exports.create_index_export(
    index_id="idx_archive",
    prompt_run_ids=["run_123", "run_124"],
    destination_connector_id="conn_export",
    destination_subpath="exports/editorial",
)

Download versus connector delivery

Public exports can target:

  • a downloadable artifact
  • a connector destination

When using a connector destination, keep the export path within the connector's configured export_base_path.

Configure an export automation

Export automations are saved per index and define:

  • destination_connector_id
  • optional destination_subpath
  • enabled and paused state
{
  "enabled": true,
  "paused": false,
  "destination_connector_id": "conn_export",
  "destination_subpath": "exports/review-team"
}

Operational recommendation

Use explicit subpaths when several downstream systems share the same destination connector. That keeps ownership boundaries obvious and avoids ambiguous output placement.

Related documentation

API reference

Exports package run-backed metadata for download or connector delivery. The public API supports export creation by index or run plus status retrieval and listing.

API reference

Automations watch connector paths, trigger prompt presets, and deliver index exports for recurring VideoVector workflows.

Connectors provide the storage access boundary for imports and exports. This guide shows how to create them, test them, and choose scopes safely.