arazzo: 1.0.1
info:
  title: Replicate Run an Official Model and Poll
  summary: Run a prediction against an official model by name, then poll until complete.
  description: >-
    Official Replicate models are run by owner and name without specifying a
    version. This workflow confirms the model exists, creates a prediction
    through the official model prediction endpoint, and polls the prediction
    until it reaches a terminal state, branching on success versus failure.
    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: replicateApi
  url: ../openapi/replicate-openapi.yml
  type: openapi
workflows:
- workflowId: official-model-predict
  summary: Run an official model by name and poll its prediction to completion.
  description: >-
    Reads the model, creates a prediction through the official model endpoint
    (no version required), then polls the prediction until it succeeds, fails,
    or is canceled.
  inputs:
    type: object
    required:
    - apiToken
    - modelOwner
    - modelName
    - input
    properties:
      apiToken:
        type: string
        description: Replicate API token used as a Bearer credential.
      modelOwner:
        type: string
        description: The name of the user or organization that owns the model.
      modelName:
        type: string
        description: The name of the model.
      input:
        type: object
        description: The model's input as a JSON object matching the model's input schema.
  steps:
  - stepId: getModel
    description: >-
      Confirm the official model exists before submitting a prediction against
      it.
    operationId: models.get
    parameters:
    - name: Authorization
      in: header
      value: Bearer $inputs.apiToken
    - name: model_owner
      in: path
      value: $inputs.modelOwner
    - name: model_name
      in: path
      value: $inputs.modelName
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      modelName: $response.body#/name
  - stepId: createPrediction
    description: >-
      Create a prediction using the official model endpoint, which selects the
      model's active version automatically.
    operationId: models.predictions.create
    parameters:
    - name: Authorization
      in: header
      value: Bearer $inputs.apiToken
    - name: model_owner
      in: path
      value: $inputs.modelOwner
    - name: model_name
      in: path
      value: $inputs.modelName
    requestBody:
      contentType: application/json
      payload:
        input: $inputs.input
    successCriteria:
    - condition: $statusCode == 201
    outputs:
      predictionId: $response.body#/id
  - stepId: getPrediction
    description: >-
      Retrieve the prediction state, repeating via the retry branch until the
      prediction reaches a terminal status.
    operationId: predictions.get
    parameters:
    - name: Authorization
      in: header
      value: Bearer $inputs.apiToken
    - name: prediction_id
      in: path
      value: $steps.createPrediction.outputs.predictionId
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      status: $response.body#/status
      output: $response.body#/output
      error: $response.body#/error
    onSuccess:
    - name: predictionSucceeded
      type: end
      criteria:
      - context: $response.body
        condition: $.status == "succeeded"
        type: jsonpath
    - name: predictionEndedWithoutSuccess
      type: end
      criteria:
      - context: $response.body
        condition: $.status == "failed" || $.status == "canceled"
        type: jsonpath
    - name: keepPolling
      type: retry
      retryAfter: 2
      retryLimit: 60
      stepId: getPrediction
      criteria:
      - context: $response.body
        condition: $.status == "starting" || $.status == "processing"
        type: jsonpath
  outputs:
    predictionId: $steps.createPrediction.outputs.predictionId
    status: $steps.getPrediction.outputs.status
    output: $steps.getPrediction.outputs.output
    error: $steps.getPrediction.outputs.error