API Evangelist conversational phrasing for Microsoft Azure Azure Machine Learning Model Management…

# 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 Azure Machine Learning Model Management…
  version: 1.0.0
extends: openapi/microsoft-azure-model-management-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: 5
- target: $.paths['/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/services/{id}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get a deployed ML model service
      effect: read
      questions:
      - What is the state of a model deployment service in my Machine Learning workspace?
      - Can I fetch one deployed ML service by its ID?
      instructions:
      - text: Get service {id} in workspace {workspace} of resource group {resourceGroup} in subscription {subscriptionId}.
        slots:
          subscriptionId: path.subscriptionId
          id: path.id
          workspace: path.workspace
          resourceGroup: path.resourceGroup
      - text: Show deployed model service {id} in {workspace}.
        slots:
          id: path.id
          workspace: path.workspace
      method: generated
      generated: '2026-10-01'
- target: $.paths['/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/services/{id}'].delete
  update:
    x-apievangelist-phrasing:
      intent: Delete a deployed ML model service
      effect: destructive
      questions:
      - Can I tear down a model deployment service from my ML workspace?
      - What happens to the scoring endpoint when I delete a service?
      instructions:
      - text: Delete service {id} from workspace {workspace} in {resourceGroup} of subscription {subscriptionId}.
        slots:
          subscriptionId: path.subscriptionId
          id: path.id
          workspace: path.workspace
          resourceGroup: path.resourceGroup
      - text: Remove deployed model service {id} in {workspace}.
        slots:
          id: path.id
          workspace: path.workspace
      method: generated
      generated: '2026-10-01'
- target: $.paths['/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/services/{id}'].patch
  update:
    x-apievangelist-phrasing:
      intent: Patch a deployed ML model service
      effect: write
      questions:
      - Can I modify an existing model deployment service without recreating it?
      - Is partial update supported on a deployed ML service?
      instructions:
      - text: Patch service {id} in workspace {workspace} of {resourceGroup} in subscription {subscriptionId}.
        slots:
          subscriptionId: path.subscriptionId
          id: path.id
          workspace: path.workspace
          resourceGroup: path.resourceGroup
      - text: Apply updates to deployed model service {id}.
        slots:
          id: path.id
      method: generated
      generated: '2026-10-01'
- target: $.paths['/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/services'].get
  update:
    x-apievangelist-phrasing:
      intent: List or search services in an ML workspace
      effect: read
      questions:
      - Which model services are deployed in my Machine Learning workspace?
      - Can I find services running a particular model or image?
      - Is the list of workspace services paginated?
      instructions:
      - text: List services in workspace {workspace} of resource group {resourceGroup} in subscription {subscriptionId}.
        slots:
          subscriptionId: path.subscriptionId
          workspace: path.workspace
          resourceGroup: path.resourceGroup
      - text: Find services in {workspace} deploying model {modelName}.
        slots:
          workspace: path.workspace
          modelName: query.modelName
      method: generated
      generated: '2026-10-01'
- target: $.paths['/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/services'].post
  update:
    x-apievangelist-phrasing:
      intent: Deploy a new ML model service
      effect: write
      questions:
      - How do I deploy a model as a new service in my ML workspace?
      - Which compute type do I have to specify when creating a model service?
      instructions:
      - text: Create service {name} on compute type {computeType} in workspace {workspace} of {resourceGroup}, subscription {subscriptionId}.
        slots:
          subscriptionId: path.subscriptionId
          name: requestBody.name
          computeType: requestBody.computeType
          workspace: path.workspace
          resourceGroup: path.resourceGroup
      - text: Deploy image {imageId} as service {name} in {workspace}.
        slots:
          imageId: requestBody.imageId
          name: requestBody.name
          workspace: path.workspace
      method: generated
      generated: '2026-10-01'