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Python: Fixed SK migration samples (#4046)

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* Fixed sk migration provider samples

* Fixes to SK migration samples
This commit is contained in:
Dmytro Struk
2026-02-18 12:20:21 -08:00
committed by GitHub
Unverified
parent aab80d9ed9
commit c23bc1371c
17 changed files with 96 additions and 101 deletions
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python/samples/semantic-kernel-migration/orchestrations/group_chat.py
+8 -8
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@@ -20,7 +20,7 @@ from agent_framework import Agent, Message
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 import ChatCompletionAgent, GroupChatOrchestration
from semantic_kernel.agents.orchestration.group_chat import (
BooleanResult,
GroupChatManager,
@@ -50,7 +50,7 @@ DISCUSSION_TOPIC = "What are the essential steps for launching a community hacka
######################################################################
def build_semantic_kernel_agents() -> list[Agent]:
def build_semantic_kernel_agents() -> list[ChatCompletionAgent]:
credential = AzureCliCredential()
researcher = ChatCompletionAgent(
@@ -82,25 +82,25 @@ class ChatCompletionGroupChatManager(GroupChatManager):
topic: str
termination_prompt: str = (
"You are coordinating a conversation about '{{topic}}'. "
"You are coordinating a conversation about '{{$topic}}'. "
"Decide if the discussion has produced a solid answer. "
'Respond using JSON: {"result": true|false, "reason": "..."}.'
)
selection_prompt: str = (
"You are coordinating a conversation about '{{topic}}'. "
"You are coordinating a conversation about '{{$topic}}'. "
"Choose the next participant by returning JSON with keys (result, reason). "
"The result must match one of: {{participants}}."
"The result must match one of: {{$participants}}."
)
summary_prompt: str = (
"You have just finished a discussion about '{{topic}}'. "
"You have just finished a discussion about '{{$topic}}'. "
"Summarize the plan and highlight key takeaways. Return JSON with keys (result, reason) where "
"result is the final response text."
)
def __init__(self, *, topic: str, service: ChatCompletionClientBase) -> None:
super().__init__(topic=topic, service=service)
def __init__(self, *, topic: str, service: ChatCompletionClientBase, max_rounds: int | None = None) -> None:
super().__init__(topic=topic, service=service, max_rounds=max_rounds)
self._round_robin_index = 0
async def _render_prompt(self, template: str, **kwargs: Any) -> str: