File	Prompt Flow pattern it replaces
01_linear_flow.py	Input node → LLM node
02_python_node.py	Python code node with custom logic
03_conditional_flow.py	If / conditional node
04_parallel_flow.py	Parallel nodes with no shared dependencies
05_rag_flow.py	Embed Text + Vector Lookup + LLM nodes (full RAG pipeline)
06_function_tools.py	Python tool node → function tools
07_multi_agent.py	Multi-step specialist routing → `HandoffBuilder` multi-agent handoff

Run any sample

cd phase-2-rebuild
python 01_linear_flow.py

Visualize a workflow in DevUI

agent-framework-devui is a lightweight web app for inspecting the executor graph of a MAF workflow and running it interactively. visualize_workflow.py loads the module-level workflow object from one or more samples in this folder and hands them to DevUI's serve().

# One-time install (preview package)
pip install agent-framework-devui --pre

cd phase-2-rebuild

# Visualize all 7 samples — pick one from the entity dropdown in the UI
python visualize_workflow.py

# Or visualize a single sample
python visualize_workflow.py --file 03_conditional_flow.py

By default the UI opens at http://127.0.0.1:8080. Pass --port, --host, or --no-open to override. Make sure your .env is filled in (see .env.example) — the samples that use FoundryChatClient or Azure AI Search will fail to load otherwise.

The pattern every sample follows

Define Executors — one class per logical step, each with a @handler method
Build the Workflow — connect executors with WorkflowBuilder and .add_edge()
Run — await workflow.run(input), read output from result.get_outputs()

See node-mapping for the full PF → MAF concept mapping.