# Phase 1 — Audit & Map Before writing any MAF code, understand what you have. This phase is diagnostic — no code changes, no deployments. ## Step 1a: Export your flow structure Run this from the Prompt Flow CLI to get a full YAML representation of your flow's nodes, types, and wiring: ```bash # Exports flow.dag.yaml into ./flow_export/ pf flow export --source --output ./flow_export ``` Open flow_export/flow.dag.yaml. It lists every node with: - type: llm, python, or prompt - inputs: what data each node receives - outputs: what it passes downstream This YAML is your migration blueprint. Keep it open while working through Phase 2. ## Step 1b: Map each node to its MAF equivalent See [node-mapping.md](./node-mapping.md) for the full table. The core mental model: - Every node → one Executor class with a @handler method - The flow graph → a WorkflowBuilder chain with .add_edge() calls - Connections (credentials) → environment variables in .env ## Checklist before moving to Phase 2 - [ ] flow.dag.yaml exported and reviewed - [ ] Every node has a mapped MAF equivalent (see [node-mapping.md](./node-mapping.md)) - [ ] .env file populated (copy [.env.example](../.env.example) from repo root) - [ ] You know which samples in [phase-2-rebuild](../phase-2-rebuild/) match your flow's patterns