Python: Add store and metadata properties to OpenAIPromptExecutionSet…

…tings (#9946)

### Motivation and Context

Closes #9918 

### Description

<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄

---------

Co-authored-by: Tao Chen <[email protected]>

python/samples/concepts/chat_completion/simple_chatbot_store_metadata.py

@@ -0,0 +1,85 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+from samples.concepts.setup.chat_completion_services import (
+    Services,
+    get_chat_completion_service_and_request_settings,
+)
+from semantic_kernel.contents import ChatHistory
+
+# This sample shows how to create a chatbot whose output can be stored for use with the OpenAI
+# model distillation or evals products.
+# This sample uses the following two main components:
+# - a ChatCompletionService: This component is responsible for generating responses to user messages.
+# - a ChatHistory: This component is responsible for keeping track of the chat history.
+# The chatbot in this sample is called Mosscap, who is an expert in basketball.
+
+# To learn more about OpenAI distillation, see: https://platform.openai.com/docs/guides/distillation
+# To learn more about OpenAI evals, see: https://platform.openai.com/docs/guides/evals
+
+
+# You can select from the following chat completion services:
+# - Services.OPENAI
+# Please make sure you have configured your environment correctly for the selected chat completion service.
+chat_completion_service, request_settings = get_chat_completion_service_and_request_settings(Services.OPENAI)
+
+# This is the system message that gives the chatbot its personality.
+system_message = """
+You are a chat bot whose expertise is basketball.
+Your name is Mosscap and you have one goal: to answer questions about basketball.
+"""
+
+# Create a chat history object with the system message.
+chat_history = ChatHistory(system_message=system_message)
+# Configure the store amd metadata settings for the chat completion service.
+request_settings.store = True
+request_settings.metadata = {"chatbot": "Mosscap"}
+
+
+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
+
+    # Add the user message to the chat history so that the chatbot can respond to it.
+    chat_history.add_user_message(user_input)
+
+    # Get the chat message content from the chat completion service.
+    response = await chat_completion_service.get_chat_message_content(
+        chat_history=chat_history,
+        settings=request_settings,
+    )
+    if response:
+        print(f"Mosscap:> {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:> Who has the most career points in NBA history?
+    # Mosscap:> As of October 2023, the all-time leader in total regular-season scoring in the history of the National
+    #           Basketball Association (N.B.A.) is Kareem Abdul-Jabbar, who scored 38,387 total regular-seasonPoints
+    #           during his illustrious 20-year playing Career.
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_prompt_execution_settings.py

@@ -33,6 +33,8 @@ class OpenAIPromptExecutionSettings(PromptExecutionSettings):
     temperature: Annotated[float | None, Field(ge=0.0, le=2.0)] = None
     top_p: Annotated[float | None, Field(ge=0.0, le=1.0)] = None
     user: str | None = None
+    store: bool | None = None
+    metadata: dict[str, str] | None = None
 
 
 class OpenAITextPromptExecutionSettings(OpenAIPromptExecutionSettings):