# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Microsoft Azure Document Intelligence (formerly Form…
  version: 1.0.0
extends: openapi/microsoft-azure-document-models-build-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/documentModels:build'].post
  update:
    x-apievangelist-phrasing:
      intent: Build a custom document analysis model
      effect: write
      questions:
      - How do I train a custom Document Intelligence model from documents in blob storage?
      - Can I choose between template and neural build modes when creating a custom model?
      - What training data source do I point to when building a document model?
      instructions:
      - text: Build custom document model {model_id} in {build_mode} mode.
        slots:
          model_id: requestBody.modelId
          build_mode: requestBody.buildMode
      - text: Train model {model_id} from the training documents in {blob_source}.
        slots:
          model_id: requestBody.modelId
          blob_source: requestBody.azureBlobSource
      - text: Build model {model_id} using only the files listed in {file_list}.
        slots:
          model_id: requestBody.modelId
          file_list: requestBody.azureBlobFileListSource
      method: generated
      generated: '2026-10-01'