Google TensorFlow TensorFlow Serving REST API — Model Status

naftiko: 1.0.0-alpha2
info:
  label: Google TensorFlow TensorFlow Serving REST API — Model Status
  description: 'Google TensorFlow TensorFlow Serving REST API — Model Status. 2 operations. Lead operation: Google TensorFlow
    Get model status. Self-contained Naftiko capability covering one Google Tensorflow business surface.'
  tags:
  - Google Tensorflow
  - Model Status
  created: '2026-05-19'
  modified: '2026-05-19'
binds:
- namespace: env
  keys:
    GOOGLE_TENSORFLOW_API_KEY: GOOGLE_TENSORFLOW_API_KEY
capability:
  consumes:
  - type: http
    namespace: tensorflow-serving-model-status
    baseUri: http://localhost:8501
    description: Google TensorFlow TensorFlow Serving REST API — Model Status business capability. Self-contained, no shared
      references.
    resources:
    - name: v1-models-model_name
      path: /v1/models/{model_name}
      operations:
      - name: getmodelstatus
        method: GET
        description: Google TensorFlow Get model status
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
    - name: v1-models-model_name-metadata
      path: /v1/models/{model_name}/metadata
      operations:
      - name: getmodelmetadata
        method: GET
        description: Google TensorFlow Get model metadata
        outputRawFormat: json
        outputParameters:
        - name: result
          type: object
          value: $.
  exposes:
  - type: rest
    namespace: tensorflow-serving-model-status-rest
    port: 8080
    description: REST adapter for Google TensorFlow TensorFlow Serving REST API — Model Status. One Spectral-compliant resource
      per consumed operation, prefixed with /v1.
    resources:
    - path: /v1/v1/models/{model-name}
      name: v1-models-model-name
      description: REST surface for v1-models-model_name.
      operations:
      - method: GET
        name: getmodelstatus
        description: Google TensorFlow Get model status
        call: tensorflow-serving-model-status.getmodelstatus
        outputParameters:
        - type: object
          mapping: $.
    - path: /v1/v1/models/{model-name}/metadata
      name: v1-models-model-name-metadata
      description: REST surface for v1-models-model_name-metadata.
      operations:
      - method: GET
        name: getmodelmetadata
        description: Google TensorFlow Get model metadata
        call: tensorflow-serving-model-status.getmodelmetadata
        outputParameters:
        - type: object
          mapping: $.
  - type: mcp
    namespace: tensorflow-serving-model-status-mcp
    port: 9090
    transport: http
    description: MCP adapter for Google TensorFlow TensorFlow Serving REST API — Model Status. One tool per consumed operation,
      routed inline through this capability's consumes block.
    tools:
    - name: google-tensorflow-get-model-status
      description: Google TensorFlow Get model status
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: tensorflow-serving-model-status.getmodelstatus
      outputParameters:
      - type: object
        mapping: $.
    - name: google-tensorflow-get-model-metadata
      description: Google TensorFlow Get model metadata
      hints:
        readOnly: true
        destructive: false
        idempotent: true
      call: tensorflow-serving-model-status.getmodelmetadata
      outputParameters:
      - type: object
        mapping: $.