Starter template for APEX. Contains custom Copilot agents, Azure Pricing MCP server, and an orchestrated multi-step workflow. Auto-syncs from the main repository.
Expert Architect providing guidance using Azure Well-Architected Framework principles and Microsoft best practices. Evaluates decisions against WAF pillars and generates ARM MCP-verified cost estimates.
Step 3 — Design Artifacts. Generates code-based Python architecture diagrams and Architecture Decision Records for approved Azure designs. Optional step before governance and IaC planning.
Expert Azure IaC planner that creates comprehensive machine-readable implementation plans. Consults Microsoft documentation, evaluates Azure Verified Modules (Bicep or Terraform), designs full infrastructure solutions with architecture diagrams. Routes by decisions.iactool.
Executes Azure deployments using generated Bicep templates. Uses azd provision (default; deploy.ps1 retained only for legacy projects without azure.yaml). Performs what-if analysis and manages deployment lifecycle. Step 6 of the agentic workflow.
Interactive diagnostic agent that guides users through Azure resource health assessment, issue identification, and remediation planning. Approval-first execution, single-resource scope, reports to agent-output/{project}/.
Standalone adversarial review wrapper. Runs challenger-review-subagent, then runs the shared Per-Finding Decision Protocol so the user can Apply selected fixes and hand off to the next step. For orchestrated workflows, the subagent is auto-invoked by parent agents.
Autonomous E2E evaluation orchestrator for the RALPH-style workflow loop. Executes real workflow agents end-to-end with MCP-backed cost, Python diagram design, governance discovery, validation, and benchmark collection. Does NOT replace 01-Orchestrator.