JFrog ML Register Model Version

arazzo: 1.0.1
info:
  title: JFrog ML Register Model Version
  summary: Register an ML model then publish a version of it.
  description: >-
    Model lifecycle management with JFrog ML. The workflow creates a model
    record, creates a version under that model pointing at an artifact path,
    then reads the version back to confirm it was published. Every step spells
    out its request inline so the flow can be read and executed without opening
    the underlying OpenAPI description.
  version: 1.0.0
sourceDescriptions:
- name: mlApi
  url: ../openapi/jfrog-ml-openapi.yml
  type: openapi
workflows:
- workflowId: register-model-version
  summary: Create an ML model and publish a version, then verify it.
  description: >-
    Creates a model, creates a version under it with metrics, then fetches the
    version to confirm.
  inputs:
    type: object
    required:
    - modelName
    - framework
    - version
    - artifactPath
    properties:
      modelName:
        type: string
        description: The name of the model to register.
      framework:
        type: string
        description: The ML framework (e.g. tensorflow, pytorch, sklearn).
      version:
        type: string
        description: The model version to publish.
      artifactPath:
        type: string
        description: The Artifactory path to the model version artifact.
  steps:
  - stepId: createModel
    description: >-
      Create a new model record with the supplied name and framework.
    operationId: createModel
    requestBody:
      contentType: application/json
      payload:
        name: $inputs.modelName
        description: Registered by the register-model-version workflow
        framework: $inputs.framework
        task_type: classification
    successCriteria:
    - condition: $statusCode == 201
    outputs:
      modelId: $response.body#/id
  - stepId: createVersion
    description: >-
      Create a version under the model pointing at the supplied artifact path.
    operationId: createModelVersion
    parameters:
    - name: modelId
      in: path
      value: $steps.createModel.outputs.modelId
    requestBody:
      contentType: application/json
      payload:
        version: $inputs.version
        description: Published by the register-model-version workflow
        status: staging
        artifact_path: $inputs.artifactPath
    successCriteria:
    - condition: $statusCode == 201
    outputs:
      versionId: $response.body#/id
  - stepId: confirmVersion
    description: >-
      Read the model version back to confirm it was published.
    operationId: getModelVersion
    parameters:
    - name: modelId
      in: path
      value: $steps.createModel.outputs.modelId
    - name: versionId
      in: path
      value: $steps.createVersion.outputs.versionId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      version: $response.body#/version
      status: $response.body#/status
  outputs:
    modelId: $steps.createModel.outputs.modelId
    versionId: $steps.createVersion.outputs.versionId
    status: $steps.confirmVersion.outputs.status