API Evangelist conversational phrasing for Sensei Machine Learning Models API

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Sensei Machine Learning Models API
  version: 1.0.0
extends: openapi/adobe-suite-models-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 9
- target: $.paths['/models'].get
  update:
    x-apievangelist-phrasing:
      intent: List machine learning models
      effect: read
      questions:
      - What trained models exist in my Adobe Experience Platform sandbox?
      - Can I page, sort and filter the list of models?
      instructions:
      - text: List all my models.
      - text: List models where {property}, ordered by {orderby}, limit {limit}.
        slots:
          property: query.property
          orderby: query.orderby
          limit: query.limit
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models'].post
  update:
    x-apievangelist-phrasing:
      intent: Create a model for an engine and ML instance
      effect: write
      questions:
      - How do I register a new model for an engine and ML instance?
      - Can I upload a model artifact when creating the model?
      instructions:
      - text: Create a model from {model}.
        slots:
          model: requestBody.model
      - text: Create a model {model} and attach the artifact {modelArtifact}.
        slots:
          model: requestBody.model
          modelArtifact: requestBody.modelArtifact
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get one model's details
      effect: read
      questions:
      - How do I look up the metadata for a specific model?
      - What state is a given model in right now?
      instructions:
      - text: Show model {modelId}.
        slots:
          modelId: path.modelId
      - text: Get the details and state of model {modelId}.
        slots:
          modelId: path.modelId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}'].put
  update:
    x-apievangelist-phrasing:
      intent: Update an existing model
      effect: write
      questions:
      - How do I rename a model or change its description?
      - Which experiment run must I reference when updating a model?
      instructions:
      - text: Update model {modelId} for experiment run {experimentRunId}.
        slots:
          modelId: path.modelId
          experimentRunId: requestBody.experimentRunId
      - text: Rename model {modelId} to {name} for run {experimentRunId}.
        slots:
          modelId: path.modelId
          name: requestBody.name
          experimentRunId: requestBody.experimentRunId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}'].delete
  update:
    x-apievangelist-phrasing:
      intent: Delete a model
      effect: destructive
      questions:
      - How do I permanently remove a model I no longer need?
      - Can I delete a single trained model by its ID?
      instructions:
      - text: Delete model {modelId}.
        slots:
          modelId: path.modelId
      - text: Remove the model {modelId} from the sandbox.
        slots:
          modelId: path.modelId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}/artifact'].get
  update:
    x-apievangelist-phrasing:
      intent: Download a model's binary artifact
      effect: read
      questions:
      - How do I download the binary file behind a trained model?
      - Can I get the raw model artifact rather than its metadata?
      instructions:
      - text: Download the artifact for model {modelId}.
        slots:
          modelId: path.modelId
      - text: Fetch the binary file of model {modelId}.
        slots:
          modelId: path.modelId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}/transcodings'].get
  update:
    x-apievangelist-phrasing:
      intent: List a model's transcodings
      effect: read
      questions:
      - Which format conversions have been made for a model?
      - Can I page through a model's transcodings?
      instructions:
      - text: List the transcodings of model {modelId}.
        slots:
          modelId: path.modelId
      - text: Show the first {limit} transcodings of model {modelId}.
        slots:
          limit: query.limit
          modelId: path.modelId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}/transcodings'].post
  update:
    x-apievangelist-phrasing:
      intent: Transcode a model into another format
      effect: write
      questions:
      - How do I convert a model into a different target format?
      - What do I need to request a new transcoding of a model?
      instructions:
      - text: Transcode model {modelId} to {targetFormat}.
        slots:
          modelId: path.modelId
          targetFormat: requestBody.targetFormat
      - text: Create a new transcoding for model {modelId}.
        slots:
          modelId: path.modelId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/models/{modelId}/transcodings/{modelTranscodingId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get one model transcoding
      effect: read
      questions:
      - How do I check a specific transcoding of a model?
      - What target format does a particular model transcoding have?
      instructions:
      - text: Show transcoding {modelTranscodingId} of model {modelId}.
        slots:
          modelTranscodingId: path.modelTranscodingId
          modelId: path.modelId
      - text: Get details of model {modelId} transcoding {modelTranscodingId}.
        slots:
          modelId: path.modelId
          modelTranscodingId: path.modelTranscodingId
      method: generated
      generated: '2026-09-26'