Pipeline Lifecycle

name: ZenML Pipeline Lifecycle
description: >-
  End-to-end capability composition covering the lifecycle of a ZenML
  pipeline: registering a pipeline, configuring a stack, triggering a run,
  monitoring its status, and inspecting produced artifacts and model versions.
api: zenml
version: '1.0.0'
operations:
  - id: registerPipeline
    method: POST
    path: /pipelines
    summary: Register a new pipeline definition
  - id: configureStack
    method: POST
    path: /stacks
    summary: Create or update the execution stack
  - id: triggerRun
    method: POST
    path: /runs
    summary: Trigger a pipeline run on the configured stack
  - id: monitorRun
    method: GET
    path: /runs/{run_id}
    summary: Poll the status of a pipeline run
  - id: listArtifacts
    method: GET
    path: /artifacts
    summary: List artifacts produced by the run
  - id: registerModelVersion
    method: POST
    path: /model_versions
    summary: Register a new model version produced by the run
workflow:
  - step: registerPipeline
  - step: configureStack
  - step: triggerRun
  - step: monitorRun
    until:
      status: completed
  - step: listArtifacts
  - step: registerModelVersion