Python: Add AzureAIAgent Structured Outputs sample (microsoft#11281)

### Motivation and Context

Add AzureAIAgent Structured Outputs sample

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### Description

Add AzureAIAgent Structured Outputs sample

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### Contribution Checklist

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- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
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Author: moonbox3

python/samples/concepts/README.md

@@ -12,6 +12,7 @@
 - [Azure AI Agent Prompt Templating](./agents/azure_ai_agent/azure_ai_agent_prompt_templating.py)
 - [Azure AI Agent Chat History Callback](./agents/azure_ai_agent/azure_ai_agent_streaming_chat_history_callback.py)
 - [Azure AI Agent Streaming](./agents/azure_ai_agent/azure_ai_agent_streaming.py)
+- [Azure AI Agent Structured Outputs](./agents/azure_ai_agent/azure_ai_agent_structured_outputs.py)
 
 #### [Bedrock Agent](../../semantic_kernel/agents/bedrock/bedrock_agent.py)
 

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_structured_outputs.py

@@ -0,0 +1,96 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+from enum import Enum
+
+from azure.ai.projects.models import (
+    ResponseFormatJsonSchema,
+    ResponseFormatJsonSchemaType,
+)
+from azure.identity.aio import DefaultAzureCredential
+from pydantic import BaseModel
+
+from semantic_kernel.agents import (
+    AzureAIAgent,
+    AzureAIAgentSettings,
+)
+
+"""
+The following sample demonstrates how to create an Azure AI Agent
+and leverage the agent's ability to return structured outputs, 
+based on a user-defined Pydantic model.
+"""
+
+
+# Define a Pydantic model that represents the structured output from the agent
+class Planets(str, Enum):
+    Earth = "Earth"
+    Mars = "Mars"
+    Jupyter = "Jupyter"
+
+
+class Planet(BaseModel):
+    planet: Planets
+    mass: float
+
+
+async def main():
+    ai_agent_settings = AzureAIAgentSettings.create()
+    async with (
+        DefaultAzureCredential() as creds,
+        AzureAIAgent.create_client(
+            credential=creds,
+            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
+        ) as client,
+    ):
+        # Create the agent definition
+        agent_definition = await client.agents.create_agent(
+            model=ai_agent_settings.model_deployment_name,
+            name="Assistant",
+            instructions="Extract the information about planets.",
+            response_format=ResponseFormatJsonSchemaType(
+                json_schema=ResponseFormatJsonSchema(
+                    name="planet_mass",
+                    description="Extract planet mass.",
+                    schema=Planet.model_json_schema(),
+                )
+            ),
+        )
+
+        # Create the AzureAI Agent
+        agent = AzureAIAgent(
+            client=client,
+            definition=agent_definition,
+        )
+
+        # Create a new thread for use with the assistant
+        # If no thread is provided, a new thread will be
+        # created and returned with the initial response
+        thread = None
+
+        user_inputs = ["The mass of the Mars is 6.4171E23 kg; the mass of the Earth is 5.972168E24 kg;"]
+
+        try:
+            for user_input in user_inputs:
+                print(f"# User: '{user_input}'")
+                async for response in agent.invoke(messages=user_input, thread=thread):
+                    # The response returned is a Pydantic Model, so we can validate it using the
+                    # model_validate_json method
+                    response_model = Planet.model_validate_json(str(response.content))
+                    print(f"# {response.role}: {response_model}")
+                    thread = response.thread
+        finally:
+            await thread.delete() if thread else None
+            await client.agents.delete_agent(agent_definition.id)
+
+        """
+        Sample Output:
+
+        # User: 'The mass of the Mars is 6.4171E23 kg; the mass of the Earth is 5.972168E24 kg;'
+        # AuthorRole.ASSISTANT: planet=<Planets.Earth: 'Earth'> mass=5.972168e+24
+        # AuthorRole.ASSISTANT: planet=<Planets.Mars: 'Mars'> mass=6.4171e+23
+        """
+
+
+if __name__ == "__main__":
+    asyncio.run(main())