apiVersion: catalog.confighub.com/v1alpha1
kind: AIChangeReviewScenario
metadata:
  name: aicr-training-runtime-review
spec:
  source:
    type: aicr
    object: examples/aicr/eks-h100-training-kubeflow/argocd-helm-bundle/013-kubeflow-trainer-post/templates/torch-distributed-cluster-training-runtime.yaml
    baseRecord: data/base-variant-records/records/aicr-eks-h100-training-kubeflow-v0-14-0-argocd.yaml
  request: Increase this training runtime to eight H100 nodes and update its runtime image.
  targetFacts:
    maxTrainingNodes: 4
    credentialSecret: training-provider-credentials
    credentialKey: api-key
  proposal:
    note: This is a deterministic example of an unchecked agent proposal, not a transcript from a named model.
    operations:
      - op: replace
        path: /spec/mlPolicy/numNodes
        value: 8
      - op: replace
        path: /spec/template/spec/replicatedJobs/0/template/spec/template/spec/containers/0/image
        value: pytorch/pytorch:latest
      - op: add
        path: /spec/template/spec/replicatedJobs/0/template/spec/template/spec/containers/0/env
        value:
          - name: AI_API_KEY
            value: confighubplaceholder
  reviewed:
    note: The reviewer keeps the pinned image, limits the change to the recorded target capacity, and uses an existing Secret.
    operations:
      - op: replace
        path: /spec/mlPolicy/numNodes
        value: 4
      - op: add
        path: /spec/template/spec/replicatedJobs/0/template/spec/template/spec/containers/0/env
        value:
          - name: AI_API_KEY
            valueFrom:
              secretKeyRef:
                name: training-provider-credentials
                key: api-key
  policyProfile: catalog-standard
status:
  proposalDecision: rejected
  reviewedDecision: awaiting-human-approval
  configHubFunctions: not-run
  apply: not-run
  liveObservation: not-run