Python: Introducing Local MCP Servers (#389)

* mcp parts

* mcp parts 2

* removed structured output in favor of handling in chatresponse, mcp as AITool and running samples

* updated naming

* fixed test

python/samples/getting_started/chat_client/azure_responses_client.py

@@ -4,9 +4,10 @@ import asyncio
 from random import randint
 from typing import Annotated
 
+from agent_framework import ChatResponse
 from agent_framework.azure import AzureResponsesClient
 from azure.identity import DefaultAzureCredential
-from pydantic import Field
+from pydantic import BaseModel, Field
 
 
 def get_weather(
@@ -17,20 +18,28 @@ def get_weather(
     return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
 
 
+class OutputStruct(BaseModel):
+    """Structured output for weather information."""
+
+    location: str
+    weather: str
+
+
 async def main() -> None:
     client = AzureResponsesClient(ad_credential=DefaultAzureCredential())
     message = "What's the weather in Amsterdam and in Paris?"
-    stream = False
+    stream = True
     print(f"User: {message}")
     if stream:
-        print("Assistant: ", end="")
-        async for chunk in client.get_streaming_response(message, tools=get_weather):
-            if str(chunk):
-                print(str(chunk), end="")
-        print("")
+        response = await ChatResponse.from_chat_response_generator(
+            client.get_streaming_response(message, tools=get_weather, response_format=OutputStruct),
+            output_format_type=OutputStruct,
+        )
+        print(f"Assistant: {response.value}")
+
     else:
-        response = await client.get_response(message, tools=get_weather)
-        print(f"Assistant: {response}")
+        response = await client.get_response(message, tools=get_weather, response_format=OutputStruct)
+        print(f"Assistant: {response.value}")
 
 
 if __name__ == "__main__":