chore: import upstream snapshot with attribution

python/samples/concepts/reasoning/simple_reasoning_azure_ai_inference.py

@@ -0,0 +1,87 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+from semantic_kernel.connectors.ai.azure_ai_inference import (
+    AzureAIInferenceChatCompletion,
+    AzureAIInferenceChatPromptExecutionSettings,
+)
+from semantic_kernel.contents import ChatHistory
+
+"""
+This sample demonstrates an example of how to use reasoning models using the Azure AI Inference service.
+"""
+
+chat_service = AzureAIInferenceChatCompletion(
+    ai_model_id="gpt-5-mini",
+    # You must specify the endpoint and api_key or configure them via environment variables:
+    # AZURE_AI_INFERENCE_ENDPOINT
+    # AZURE_AI_INFERENCE_API_KEY
+    endpoint="...",
+    api_key="...",
+)
+request_settings = AzureAIInferenceChatPromptExecutionSettings(
+    extra_parameters={
+        "reasoning_effort": "medium",
+        "verbosity": "medium",
+    },
+)
+
+# Create a ChatHistory object
+chat_history = ChatHistory()
+
+# This is the system message that gives the chatbot its personality.
+developer_message = """
+As an assistant supporting the user,
+you recognize all user input
+as questions or consultations and answer them.
+"""
+# The developer message was newly introduced for reasoning models such as OpenAI’s o1 and o1-mini.
+# `system message` cannot be used with reasoning models.
+chat_history.add_developer_message(developer_message)
+
+
+async def chat() -> bool:
+    try:
+        user_input = input("User:> ")
+    except KeyboardInterrupt:
+        print("\n\nExiting chat...")
+        return False
+    except EOFError:
+        print("\n\nExiting chat...")
+        return False
+
+    if user_input == "exit":
+        print("\n\nExiting chat...")
+        return False
+
+    chat_history.add_user_message(user_input)
+
+    # Get the chat message content from the chat completion service.
+    response = await chat_service.get_chat_message_content(
+        chat_history=chat_history,
+        settings=request_settings,
+    )
+    if response:
+        print(f"Reasoning model:> {response}")
+
+        # Add the chat message to the chat history to keep track of the conversation.
+        chat_history.add_message(response)
+
+    return True
+
+
+async def main() -> None:
+    # Start the chat loop. The chat loop will continue until the user types "exit".
+    chatting = True
+    while chatting:
+        chatting = await chat()
+
+    # Sample output:
+    # User:> Why is the sky blue in one sentence?
+    # Mosscap:> The sky appears blue because air molecules in the atmosphere scatter shorter-wavelength (blue)
+    #           light more efficiently than longer-wavelength (red) light.
+
+
+if __name__ == "__main__":
+    asyncio.run(main())