Python: Fixed SK migration samples (#4046)

* Fixed sk migration provider samples

* Fixes to SK migration samples

python/samples/semantic-kernel-migration/openai_assistant/01_basic_openai_assistant.py

@@ -46,11 +46,12 @@ async def run_agent_framework() -> None:
         instructions="Answer questions in one concise paragraph.",
         model=ASSISTANT_MODEL,
     ) as assistant_agent:
-        reply = await assistant_agent.run("What is the capital of Denmark?")
+        session = assistant_agent.create_session()
+        reply = await assistant_agent.run("What is the capital of Denmark?", session=session)
         print("[AF]", reply.text)
         follow_up = await assistant_agent.run(
             "How many residents live there?",
-            session=assistant_agent.create_session(),
+            session=session,
         )
         print("[AF][follow-up]", follow_up.text)
 

python/samples/semantic-kernel-migration/openai_assistant/02_openai_assistant_with_code_interpreter.py

@@ -23,7 +23,7 @@ async def run_semantic_kernel() -> None:
 
     # Enable the hosted code interpreter tool on the assistant definition.
     definition = await client.beta.assistants.create(
-        model=OpenAISettings().chat_deployment_name,
+        model=OpenAISettings().chat_model_id,
         name="CodeRunner",
         instructions="Run the provided request as code and return the result.",
         tools=code_interpreter_tool,

python/samples/semantic-kernel-migration/openai_assistant/03_openai_assistant_function_tool.py

@@ -34,7 +34,7 @@ async def run_semantic_kernel() -> None:
 
     class WeatherPlugin:
         @kernel_function(name="get_forecast", description="Look up the forecast for a city and day.")
-        async def fake_weather_lookup(city: str, day: str) -> dict[str, Any]:
+        async def fake_weather_lookup(self, city: str, day: str) -> dict[str, Any]:
             """Pretend to call a weather service."""
             return {
                 "city": city,
@@ -50,9 +50,8 @@ async def run_semantic_kernel() -> None:
         model=ASSISTANT_MODEL,
         name="WeatherHelper",
         instructions="Call get_forecast to fetch weather details.",
-        plugins=[WeatherPlugin()],
     )
-    agent = OpenAIAssistantAgent(client=client, definition=definition)
+    agent = OpenAIAssistantAgent(client=client, definition=definition, plugins=[WeatherPlugin()])
 
     thread: AssistantAgentThread | None = None
     response = await agent.get_response(
@@ -64,7 +63,7 @@ async def run_semantic_kernel() -> None:
 
 
 async def run_agent_framework() -> None:
-    from agent_framework._tools import tool
+    from agent_framework import tool
     from agent_framework.openai import OpenAIAssistantsClient
 
     @tool(