Python: Workflow add option to visualize internal executors (#2917)

* Workflow add option to visualize internal executors

* Address Copilot comments

python/samples/getting_started/workflows/visualization/concurrent_with_visualization.py

@@ -6,14 +6,12 @@ from dataclasses import dataclass
 from agent_framework import (
     AgentExecutorRequest,
     AgentExecutorResponse,
-    AgentRunEvent,
     ChatAgent,
     ChatMessage,
     Executor,
     Role,
     WorkflowBuilder,
     WorkflowContext,
-    WorkflowOutputEvent,
     WorkflowViz,
     handler,
 )
@@ -124,7 +122,7 @@ def create_legal_agent() -> ChatAgent:
 async def main() -> None:
     """Build and run the concurrent workflow with visualization."""
 
-    # 1) Build a simple fan-out/fan-in workflow
+    # Build a simple fan-out/fan-in workflow
     workflow = (
         WorkflowBuilder()
         .register_agent(create_researcher_agent, name="researcher")
@@ -138,31 +136,22 @@ async def main() -> None:
         .build()
     )
 
-    # 1.5) Generate workflow visualization
+    # Generate workflow visualization
     print("Generating workflow visualization...")
     viz = WorkflowViz(workflow)
     # Print out the mermaid string.
     print("Mermaid string: \n=======")
     print(viz.to_mermaid())
     print("=======")
-    # Print out the DiGraph string.
+    # Print out the DiGraph string with internal executors.
     print("DiGraph string: \n=======")
-    print(viz.to_digraph())
+    print(viz.to_digraph(include_internal_executors=True))
     print("=======")
 
     # Export the DiGraph visualization as SVG.
     svg_file = viz.export(format="svg")
     print(f"SVG file saved to: {svg_file}")
 
-    # 2) Run with a single prompt
-    async for event in workflow.run_stream("We are launching a new budget-friendly electric bike for urban commuters."):
-        if isinstance(event, AgentRunEvent):
-            # Show which agent ran and what step completed.
-            print(event)
-        elif isinstance(event, WorkflowOutputEvent):
-            print("===== Final Aggregated Output =====")
-            print(event.data)
-
 
 if __name__ == "__main__":
     asyncio.run(main())