API Evangelist conversational phrasing for ml Deployments API

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for ml Deployments API
  version: 1.0.0
extends: openapi/qliksense-deployments-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['/api/v1/ml/deployments'].get
  update:
    x-apievangelist-phrasing:
      intent: List ML deployments
      effect: read
      questions:
      - Which AutoML deployments exist in my Qlik tenant?
      - Can I page through ML deployments with an offset and limit?
      instructions:
      - text: List all ML deployments.
      - text: Show ML deployments matching {filter}.
        slots:
          filter: query.filter
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments'].post
  update:
    x-apievangelist-phrasing:
      intent: Create an ML deployment
      effect: write
      questions:
      - How do I create a new machine learning deployment?
      - What do I send to set up a deployment for a trained model?
      instructions:
      - text: Create an ML deployment from {data}.
        slots:
          data: requestBody.data
      - text: Set up a new ML deployment.
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get an ML deployment
      effect: read
      questions:
      - Where can I see the details of one ML deployment?
      - Is a given ML deployment's model currently active?
      instructions:
      - text: Get ML deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      - text: Show the configuration of deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}'].delete
  update:
    x-apievangelist-phrasing:
      intent: Delete an ML deployment
      effect: destructive
      questions:
      - Can I delete an ML deployment I no longer need?
      - What removes a machine learning deployment from the tenant?
      instructions:
      - text: Delete ML deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      - text: Remove deployment {deploymentId} permanently.
        slots:
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}'].patch
  update:
    x-apievangelist-phrasing:
      intent: Update an ML deployment
      effect: write
      questions:
      - Can I edit properties of an existing ML deployment?
      - How are partial changes applied to an ML deployment?
      instructions:
      - text: Update ML deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      - text: Patch the properties of deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}/actions/activate-models'].post
  update:
    x-apievangelist-phrasing:
      intent: Activate a deployment's model
      effect: write
      questions:
      - How do I turn on the model behind an ML deployment for predictions?
      - Can I activate a deployment's model after deactivating it?
      instructions:
      - text: Activate the model for deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      - text: Switch on predictions for ML deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}/actions/deactivate-models'].post
  update:
    x-apievangelist-phrasing:
      intent: Deactivate a deployment's model
      effect: write
      questions:
      - Can I temporarily switch off the model of an ML deployment?
      - What pauses predictions from a deployment without deleting it?
      instructions:
      - text: Deactivate the model for deployment {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      - text: Pause the deployed model on {deploymentId}.
        slots:
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}/models/actions/add'].post
  update:
    x-apievangelist-phrasing:
      intent: Add models to an ML deployment
      effect: write
      questions:
      - Can one ML deployment serve more than one model?
      - How do I attach additional models to an existing deployment?
      instructions:
      - text: Add models {data} to deployment {deploymentId}.
        slots:
          data: requestBody.data
          deploymentId: path.deploymentId
      - text: Attach the listed models {data} to ML deployment {deploymentId}.
        slots:
          data: requestBody.data
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/ml/deployments/{deploymentId}/models/actions/remove'].post
  update:
    x-apievangelist-phrasing:
      intent: Remove models from an ML deployment
      effect: destructive
      questions:
      - Can I detach a model from an ML deployment without deleting the deployment?
      - What do I send to drop specific models from a deployment?
      instructions:
      - text: Remove models {data} from deployment {deploymentId}.
        slots:
          data: requestBody.data
          deploymentId: path.deploymentId
      - text: Detach {data} from ML deployment {deploymentId}.
        slots:
          data: requestBody.data
          deploymentId: path.deploymentId
      method: generated
      generated: '2026-09-26'