Python: Fixed SK migration samples (#4046)

* Fixed sk migration provider samples

* Fixes to SK migration samples

python/samples/semantic-kernel-migration/openai_responses/01_basic_responses_agent.py

@@ -14,24 +14,19 @@ import asyncio
 
 
 async def run_semantic_kernel() -> None:
-    from azure.identity import AzureCliCredential
-    from semantic_kernel.agents import AzureResponsesAgent
-    from semantic_kernel.connectors.ai.open_ai import AzureOpenAISettings
+    from semantic_kernel.agents import OpenAIResponsesAgent
+    from semantic_kernel.connectors.ai.open_ai import OpenAISettings
 
-    credential = AzureCliCredential()
-    try:
-        client = AzureResponsesAgent.create_client(credential=credential)
-        # SK response agents wrap Azure OpenAI's hosted Responses API.
-        agent = AzureResponsesAgent(
-            ai_model_id=AzureOpenAISettings().responses_deployment_name,
-            client=client,
-            instructions="Answer in one concise sentence.",
-            name="Expert",
-        )
-        response = await agent.get_response("Why is the sky blue?")
-        print("[SK]", response.message.content)
-    finally:
-        await credential.close()
+    client = OpenAIResponsesAgent.create_client()
+    # SK response agents wrap OpenAI's hosted Responses API.
+    agent = OpenAIResponsesAgent(
+        ai_model_id=OpenAISettings().responses_model_id,
+        client=client,
+        instructions="Answer in one concise sentence.",
+        name="Expert",
+    )
+    response = await agent.get_response("Why is the sky blue?")
+    print("[SK]", response.message.content)
 
 
 async def run_agent_framework() -> None:

python/samples/semantic-kernel-migration/openai_responses/02_responses_agent_with_tool.py

@@ -14,9 +14,8 @@ import asyncio
 
 
 async def run_semantic_kernel() -> None:
-    from azure.identity import AzureCliCredential
-    from semantic_kernel.agents import AzureResponsesAgent
-    from semantic_kernel.connectors.ai.open_ai import AzureOpenAISettings
+    from semantic_kernel.agents import OpenAIResponsesAgent
+    from semantic_kernel.connectors.ai.open_ai import OpenAISettings
     from semantic_kernel.functions import kernel_function
 
     class MathPlugin:
@@ -24,26 +23,22 @@ async def run_semantic_kernel() -> None:
         def add(self, a: float, b: float) -> float:
             return a + b
 
-    credential = AzureCliCredential()
-    try:
-        client = AzureResponsesAgent.create_client(credential=credential)
-        # Plugins advertise callable tools to the Responses agent.
-        agent = AzureResponsesAgent(
-            ai_model_id=AzureOpenAISettings().responses_deployment_name,
-            client=client,
-            instructions="Use the add tool when math is required.",
-            name="MathExpert",
-            plugins=[MathPlugin()],
-        )
-        response = await agent.get_response("Use add(41, 1) and explain the result.")
-        print("[SK]", response.message.content)
-    finally:
-        await credential.close()
+    client = OpenAIResponsesAgent.create_client()
+    # Plugins advertise callable tools to the Responses agent.
+    agent = OpenAIResponsesAgent(
+        ai_model_id=OpenAISettings().responses_model_id,
+        client=client,
+        instructions="Use the add tool when math is required.",
+        name="MathExpert",
+        plugins=[MathPlugin()],
+    )
+    response = await agent.get_response("Use add(41, 1) and explain the result.")
+    print("[SK]", response.message.content)
 
 
 async def run_agent_framework() -> None:
     from agent_framework import Agent
-    from agent_framework._tools import tool
+    from agent_framework import tool
     from agent_framework.openai import OpenAIResponsesClient
 
     @tool(name="add", description="Add two numbers")

python/samples/semantic-kernel-migration/openai_responses/03_responses_agent_structured_output.py

@@ -22,28 +22,22 @@ class ReleaseBrief(BaseModel):
 
 
 async def run_semantic_kernel() -> None:
-    from azure.identity import AzureCliCredential
-    from semantic_kernel.agents import AzureResponsesAgent
-    from semantic_kernel.connectors.ai.open_ai import AzureOpenAISettings
+    from semantic_kernel.agents import OpenAIResponsesAgent
+    from semantic_kernel.connectors.ai.open_ai import OpenAISettings
 
-    credential = AzureCliCredential()
-    try:
-        client = AzureResponsesAgent.create_client(credential=credential)
-        # response_format requests schema-constrained output from the model.
-        agent = AzureResponsesAgent(
-            ai_model_id=AzureOpenAISettings().responses_deployment_name,
-            client=client,
-            instructions="Return launch briefs as structured JSON.",
-            name="ProductMarketer",
-            text=AzureResponsesAgent.configure_response_format(ReleaseBrief),
-        )
-        response = await agent.get_response(
-            "Draft a launch brief for the Contoso Note app.",
-            response_format=ReleaseBrief,
-        )
-        print("[SK]", response.message.content)
-    finally:
-        await credential.close()
+    client = OpenAIResponsesAgent.create_client()
+    # response_format requests schema-constrained output from the model.
+    agent = OpenAIResponsesAgent(
+        ai_model_id=OpenAISettings().responses_model_id,
+        client=client,
+        instructions="Return launch briefs as structured JSON.",
+        name="ProductMarketer",
+        text=OpenAIResponsesAgent.configure_response_format(ReleaseBrief),
+    )
+    response = await agent.get_response(
+        "Draft a launch brief for the Contoso Note app.",
+    )
+    print("[SK]", response.message.content)
 
 
 async def run_agent_framework() -> None: