[BREAKING] Python: Move single-config fluent methods to constructor parameters (#3693)

* Move single-config fluent methods to constructor parameters

* Updates

* Adjust magentic and group chat

python/samples/autogen-migration/orchestrations/01_round_robin_group_chat.py

@@ -77,7 +77,7 @@ async def run_agent_framework() -> None:
     )
 
     # Create sequential workflow
-    workflow = SequentialBuilder().participants([researcher, writer, editor]).build()
+    workflow = SequentialBuilder(participants=[researcher, writer, editor]).build()
 
     # Run the workflow
     print("[Agent Framework] Sequential conversation:")
@@ -137,7 +137,7 @@ async def run_agent_framework_with_cycle() -> None:
             await context.send_message(AgentExecutorRequest(messages=response.full_conversation, should_respond=True))
 
     workflow = (
-        WorkflowBuilder()
+        WorkflowBuilder(start_executor=researcher)
         .add_edge(researcher, writer)
         .add_edge(writer, editor)
         .add_edge(
@@ -145,7 +145,6 @@ async def run_agent_framework_with_cycle() -> None:
             check_approval,
         )
         .add_edge(check_approval, researcher)
-        .set_start_executor(researcher)
         .build()
     )
 

python/samples/autogen-migration/orchestrations/02_selector_group_chat.py

@@ -85,18 +85,14 @@ async def run_agent_framework() -> None:
         description="Expert in databases and SQL",
     )
 
-    workflow = (
-        GroupChatBuilder()
-        .participants([python_expert, javascript_expert, database_expert])
-        .with_orchestrator(
-            agent=client.as_agent(
-                name="selector_manager",
-                instructions="Based on the conversation, select the most appropriate expert to respond next.",
-            ),
-        )
-        .with_max_rounds(1)
-        .build()
-    )
+    workflow = GroupChatBuilder(
+        participants=[python_expert, javascript_expert, database_expert],
+        max_rounds=1,
+        orchestrator_agent=client.as_agent(
+            name="selector_manager",
+            instructions="Based on the conversation, select the most appropriate expert to respond next.",
+        ),
+    ).build()
 
     # Run with a question that requires expert selection
     print("[Agent Framework] Group chat conversation:")

python/samples/autogen-migration/orchestrations/03_swarm.py

@@ -138,10 +138,10 @@ async def run_agent_framework() -> None:
         HandoffBuilder(
             name="support_handoff",
             participants=[triage_agent, billing_agent, tech_support],
+            termination_condition=lambda conv: sum(1 for msg in conv if msg.role == "user") > 3,
         )
         .with_start_agent(triage_agent)
         .add_handoff(triage_agent, [billing_agent, tech_support])
-        .with_termination_condition(lambda conv: sum(1 for msg in conv if msg.role == "user") > 3)
         .build()
     )
 

python/samples/autogen-migration/orchestrations/04_magentic_one.py

@@ -91,21 +91,17 @@ async def run_agent_framework() -> None:
     )
 
     # Create Magentic workflow
-    workflow = (
-        MagenticBuilder()
-        .participants([researcher, coder, reviewer])
-        .with_manager(
-            agent=client.as_agent(
-                name="magentic_manager",
-                instructions="You coordinate a team to complete complex tasks efficiently.",
-                description="Orchestrator for team coordination",
-            ),
-            max_round_count=20,
-            max_stall_count=3,
-            max_reset_count=1,
-        )
-        .build()
-    )
+    workflow = MagenticBuilder(
+        participants=[researcher, coder, reviewer],
+        manager_agent=client.as_agent(
+            name="magentic_manager",
+            instructions="You coordinate a team to complete complex tasks efficiently.",
+            description="Orchestrator for team coordination",
+        ),
+        max_round_count=20,
+        max_stall_count=3,
+        max_reset_count=1,
+    ).build()
 
     # Run complex task
     last_message_id: str | None = None