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Step 4 — IaC Plan

Produce a comprehensive, machine-readable implementation plan that selects Azure Verified Modules, pins versions, maps governance constraints onto module inputs, and lays out the phased deployment graph.

05-IaC Planner — track-aware (Bicep or Terraform via decisions.iac_tool).

Invoke: Ctrl+Shift+A → 05-IaC Planner
Output: agent-output/{project}/04-implementation-plan.md
agent-output/{project}/04-dependency-diagram.py and .png
agent-output/{project}/04-runtime-diagram.py and .png
  • 04-governance-constraints.{md,json} from Step 3.5 — discovery_status: "COMPLETE" with a valid policy array (empty is acceptable when no Deny effects exist for scope).
  • sku-manifest.json revised through Step 2.

The planner halts and asks the user to refresh governance if those preconditions fail.

  • AVM module selection — Bicep: br/public:avm/res/…; Terraform: AVM-TF registry.
  • Resource dependency map.
  • CAF naming validation.
  • Phased implementation graph (network → identity → data → compute → app).
  • Step 4 diagrams auto-generated alongside the plan.

1 × comprehensive adversarial pass (mandatory). decisions.review_depth = "deep" opts in to a multi-pass rotating-lens review.

The Orchestrator routes context to Step 5 — IaC Code.