Google TensorFlow

Google TensorFlow Model Status API

Model metadata and status operations

Documentation GitHub OpenAPI

Operations 2

GET /v1/models/{model_name} Google TensorFlow Get model status #

GET /v1/models/{model_name}/metadata Google TensorFlow Get model metadata #

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OpenAPI Specification

openapi: 3.2.0
info:
  title: Google TensorFlow TensorFlow Serving REST Model Status API
  description: TensorFlow Serving exposes a REST API for running inference on trained TensorFlow models. It supports predict, classify, and regress endpoints with model versioning and lifecycle management.
  version: '1'
  contact:
    name: TensorFlow Community
    url: https://www.tensorflow.org/community
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
servers:
- url: http://localhost:8501
  description: Default TensorFlow Serving REST endpoint
tags:
- name: Model Status
  description: Model metadata and status operations
paths:
  /v1/models/{model_name}:
    get:
      operationId: getModelStatus
      summary: Google TensorFlow Get model status
      description: Returns the status of a model including available versions.
      tags:
      - Model Status
      parameters:
      - $ref: '#/components/parameters/model_name'
      responses:
        '200':
          description: Model status
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ModelStatusResponse'
        '404':
          description: Model not found
  /v1/models/{model_name}/metadata:
    get:
      operationId: getModelMetadata
      summary: Google TensorFlow Get model metadata
      description: Returns metadata for a model including signature definitions that describe the model's inputs and outputs.
      tags:
      - Model Status
      parameters:
      - $ref: '#/components/parameters/model_name'
      responses:
        '200':
          description: Model metadata
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ModelMetadataResponse'
components:
  schemas:
    ModelMetadataResponse:
      type: object
      properties:
        model_spec:
          type: object
          properties:
            name:
              type: string
            version:
              type: string
        metadata:
          type: object
          additionalProperties: true
    ModelStatusResponse:
      type: object
      properties:
        model_version_status:
          type: array
          items:
            type: object
            properties:
              version:
                type: string
              state:
                type: string
                enum:
                - START
                - LOADING
                - AVAILABLE
                - UNLOADING
                - END
              status:
                type: object
                properties:
                  error_code:
                    type: string
                  error_message:
                    type: string
  parameters:
    model_name:
      name: model_name
      in: path
      required: true
      description: The name of the model
      schema:
        type: string
externalDocs:
  description: TensorFlow Serving REST API Documentation
  url: https://www.tensorflow.org/tfx/serving/api_rest