Python: Fix SK migration samples (#5047)

* Fix SK migration samples

* Fix env vars for SK

* Hard code model for sheel tool samples

.github/workflows/python-sample-validation.yml

@@ -610,14 +610,19 @@ jobs:
     env:
       FOUNDRY_PROJECT_ENDPOINT: ${{ vars.FOUNDRY_PROJECT_ENDPOINT || vars.AZURE_AI_PROJECT_ENDPOINT }}
       FOUNDRY_MODEL: ${{ vars.FOUNDRY_MODEL || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
-      # Azure OpenAI configuration
+      # Azure OpenAI configuration for AF
       AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }}
       AZURE_OPENAI_MODEL: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME || vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }}
-      # OpenAI configuration
+      # Azure OpenAI configuration for SK
+      AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ vars.AZURE_OPENAI_DEPLOYMENT_NAME }}
+      # OpenAI key
       OPENAI_API_KEY: ${{ secrets.OPENAI__APIKEY }}
+      # OpenAI configuration for AF
       OPENAI_CHAT_MODEL: ${{ vars.OPENAI__CHATMODELID }}
       OPENAI_RESPONSES_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
       OPENAI_MODEL: ${{ vars.OPENAI__RESPONSESMODELID }}
+      # OpenAI configuration for SK
+      OPENAI_CHAT_MODEL_ID: ${{ vars.OPENAI__CHATMODELID }}
       # Copilot Studio
       COPILOTSTUDIOAGENT__ENVIRONMENTID: ${{ secrets.COPILOTSTUDIOAGENT__ENVIRONMENTID }}
       COPILOTSTUDIOAGENT__SCHEMANAME: ${{ secrets.COPILOTSTUDIOAGENT__SCHEMANAME }}

python/samples/02-agents/providers/openai/client_with_local_shell.py

@@ -18,6 +18,9 @@ This sample demonstrates implementing a local shell tool using get_shell_tool(fu
 that wraps Python's subprocess module. Unlike the hosted shell tool (get_shell_tool()),
 local shell execution runs commands on YOUR machine, not in a remote container.
 
+Currently not all models support the shell tool. Refer to the OpenAI documentation for the
+list of supported models: https://developers.openai.com/api/docs/models/
+
 SECURITY NOTE: This example executes real commands on your local machine.
 Only enable this when you trust the agent's actions. Consider implementing
 allowlists, sandboxing, or approval workflows for production use.
@@ -53,7 +56,10 @@ async def main() -> None:
     print("=== OpenAI Agent with Local Shell Tool Example ===")
     print("NOTE: Commands will execute on your local machine.\n")
 
-    client = OpenAIChatClient()
+    # Currently not all models support the shell tool. Refer to the OpenAI
+    # documentation for the list of supported models:
+    # https://developers.openai.com/api/docs/models/
+    client = OpenAIChatClient(model="gpt-5.4-nano")
     local_shell_tool = client.get_shell_tool(
         func=run_bash,
     )

python/samples/02-agents/providers/openai/client_with_shell.py

@@ -17,6 +17,9 @@ for executing shell commands in a managed container environment hosted by OpenAI
 
 The shell tool allows the model to run commands like listing files, running scripts,
 or performing system operations within a secure, sandboxed container.
+
+Currently not all models support the shell tool. Refer to the OpenAI documentation
+for the list of supported models: https://developers.openai.com/api/docs/models/
 """
 
 
@@ -24,7 +27,10 @@ async def main() -> None:
     """Example showing how to use the shell tool with OpenAI Chat."""
     print("=== OpenAI Chat Client Agent with Shell Tool Example ===")
 
-    client = OpenAIChatClient()
+    # Currently not all models support the shell tool. Refer to the OpenAI
+    # documentation for the list of supported models:
+    # https://developers.openai.com/api/docs/models/
+    client = OpenAIChatClient(model="gpt-5.4-nano")
 
     # Create a hosted shell tool with the default auto container environment
     shell_tool = client.get_shell_tool()

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

@@ -23,12 +23,12 @@ async def run_semantic_kernel() -> None:
     from semantic_kernel.connectors.ai.open_ai import OpenAISettings
 
     openai_settings = OpenAISettings()
-    assert openai_settings.responses_model is not None, "Responses model ID must be set in OpenAISettings"
+    assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
 
     client = OpenAIResponsesAgent.create_client()
     # SK response agents wrap OpenAI's hosted Responses API.
     agent = OpenAIResponsesAgent(
-        ai_model=openai_settings.responses_model,
+        ai_model_id=openai_settings.responses_model_id,
         client=client,
         instructions="Answer in one concise sentence.",
         name="Expert",

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

@@ -29,12 +29,12 @@ async def run_semantic_kernel() -> None:
             return a + b
 
     openai_settings = OpenAISettings()
-    assert openai_settings.responses_model is not None, "Responses model ID must be set in OpenAISettings"
+    assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
 
     client = OpenAIResponsesAgent.create_client()
     # Plugins advertise callable tools to the Responses agent.
     agent = OpenAIResponsesAgent(
-        ai_model=openai_settings.responses_model,
+        ai_model_id=openai_settings.responses_model_id,
         client=client,
         instructions="Use the add tool when math is required.",
         name="MathExpert",

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

@@ -30,12 +30,12 @@ async def run_semantic_kernel() -> None:
     from semantic_kernel.connectors.ai.open_ai import OpenAISettings
 
     openai_settings = OpenAISettings()
-    assert openai_settings.responses_model is not None, "Responses model ID must be set in OpenAISettings"
+    assert openai_settings.responses_model_id is not None, "Responses model ID must be set in OpenAISettings"
 
     client = OpenAIResponsesAgent.create_client()
     # response_format requests schema-constrained output from the model.
     agent = OpenAIResponsesAgent(
-        ai_model=openai_settings.responses_model,
+        ai_model_id=openai_settings.responses_model_id,
         client=client,
         instructions="Return launch briefs as structured JSON.",
         name="ProductMarketer",