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File → Bulk Patch
AI-generatedSummary
Patch multiple files in a dataroom, optionally triggering their reprocessing. Choose the dataroom and one or more files; when reprocessing is enabled, select a processing pipeline and optionally provide a VLM model name for the VLM pipeline.
Inputs
- Authentication — Use configured Aiteza OAuth2 credentials (default) or a token forwarded by an upstream AITEZA Trigger. Trigger authentication also needs an AITEZA Base URL here or one forwarded by the trigger.
- Dataroom Name or ID (required) — Dataroom containing the files to patch.
- File Names or IDs (required) — One or more files in the selected dataroom.
- Reprocess — Whether to trigger reprocessing of the selected files; defaults to false.
- Processing Pipeline — Pipeline used when reprocessing is enabled: TIKA, DOCLING (default), DOCLING Force OCR, or VLM.
- VLM Model — Model name included when reprocessing with the VLM pipeline; the UI description marks this as required for VLM.
Output shape
One n8n item per input item, containing the API response in json.
For each input item, sends a PATCH request for the selected file IDs and reprocess flag; when reprocessing is enabled, it also sends the pipeline and a nonempty VLM model name. The node requires at least one file ID. The response fields depend on the Aiteza API.