[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/semantic-kernel-migration/orchestrations/concurrent_basic.py

@@ -87,7 +87,7 @@ async def run_agent_framework_example(prompt: str) -> Sequence[list[ChatMessage]
         name="chemistry",
     )
 
-    workflow = ConcurrentBuilder().participants([physics, chemistry]).build()
+    workflow = ConcurrentBuilder(participants=[physics, chemistry]).build()
 
     outputs: list[list[ChatMessage]] = []
     async for event in workflow.run(prompt, stream=True):

python/samples/semantic-kernel-migration/orchestrations/group_chat.py

@@ -7,8 +7,9 @@ import sys
 from collections.abc import Sequence
 from typing import Any, cast
 
-from agent_framework import ChatAgent, ChatMessage, GroupChatBuilderWorkflowEvent
+from agent_framework import ChatAgent, ChatMessage
 from agent_framework.azure import AzureOpenAIChatClient, AzureOpenAIResponsesClient
+from agent_framework.orchestrations import GroupChatBuilder
 from azure.identity import AzureCliCredential
 from semantic_kernel.agents import Agent, ChatCompletionAgent, GroupChatOrchestration
 from semantic_kernel.agents.orchestration.group_chat import (
@@ -231,12 +232,10 @@ async def run_agent_framework_example(task: str) -> str:
         chat_client=AzureOpenAIResponsesClient(credential=credential),
     )
 
-    workflow = (
-        GroupChatBuilder()
-        .with_orchestrator(agent=AzureOpenAIChatClient(credential=credential).as_agent())
-        .participants([researcher, planner])
-        .build()
-    )
+    workflow = GroupChatBuilder(
+        participants=[researcher, planner],
+        orchestrator_agent=AzureOpenAIChatClient(credential=credential).as_agent(),
+    ).build()
 
     final_response = ""
     async for event in workflow.run(task, stream=True):

python/samples/semantic-kernel-migration/orchestrations/magentic.py

@@ -6,8 +6,9 @@ import asyncio
 from collections.abc import Sequence
 from typing import cast
 
-from agent_framework import ChatAgent, HostedCodeInterpreterTool, MagenticBuilderWorkflowEvent
+from agent_framework import ChatAgent, HostedCodeInterpreterTool
 from agent_framework.openai import OpenAIChatClient, OpenAIResponsesClient
+from agent_framework.orchestrations import MagenticBuilder
 from semantic_kernel.agents import (
     Agent,
     ChatCompletionAgent,
@@ -144,7 +145,7 @@ async def run_agent_framework_example(prompt: str) -> str | None:
         chat_client=OpenAIChatClient(),
     )
 
-    workflow = MagenticBuilder().participants([researcher, coder]).with_manager(agent=manager_agent).build()
+    workflow = MagenticBuilder(participants=[researcher, coder], manager_agent=manager_agent).build()
 
     final_text: str | None = None
     async for event in workflow.run(prompt, stream=True):

python/samples/semantic-kernel-migration/orchestrations/sequential.py

@@ -74,7 +74,7 @@ async def run_agent_framework_example(prompt: str) -> list[ChatMessage]:
         name="reviewer",
     )
 
-    workflow = SequentialBuilder().participants([writer, reviewer]).build()
+    workflow = SequentialBuilder(participants=[writer, reviewer]).build()
 
     conversation_outputs: list[list[ChatMessage]] = []
     async for event in workflow.run(prompt, stream=True):

python/samples/semantic-kernel-migration/processes/fan_out_fan_in_process.py

@@ -221,12 +221,11 @@ async def run_agent_framework_workflow_example() -> str | None:
     aggregate = FanInExecutor(required_cycles=3)
 
     workflow = (
-        WorkflowBuilder()
+        WorkflowBuilder(start_executor=kickoff)
         .add_edge(kickoff, step_a)
         .add_edge(kickoff, step_b)
         .add_fan_in_edges([step_a, step_b], aggregate)
         .add_edge(aggregate, kickoff)
-        .set_start_executor(kickoff)
         .build()
     )
 

python/samples/semantic-kernel-migration/processes/nested_process.py

@@ -232,7 +232,7 @@ def _build_inner_workflow() -> WorkflowExecutor:
     inner_echo = InnerEchoExecutor()
     inner_repeat = InnerRepeatExecutor()
 
-    inner_workflow = WorkflowBuilder().set_start_executor(inner_echo).add_edge(inner_echo, inner_repeat).build()
+    inner_workflow = WorkflowBuilder(start_executor=inner_echo).add_edge(inner_echo, inner_repeat).build()
 
     return WorkflowExecutor(inner_workflow, id="inner_workflow")
 
@@ -246,8 +246,7 @@ async def run_agent_framework_nested_workflow(initial_message: str) -> Sequence[
     collector = CollectResultExecutor()
 
     outer_workflow = (
-        WorkflowBuilder()
-        .set_start_executor(kickoff)
+        WorkflowBuilder(start_executor=kickoff)
         .add_edge(kickoff, outer_echo)
         .add_edge(outer_echo, outer_repeat)
         .add_edge(outer_repeat, inner_executor)