chore: import upstream snapshot with attribution

python/samples/concepts/agents/openai_assistant/openai_assistant_retrieval.py

@@ -0,0 +1,60 @@
+# Copyright (c) Microsoft. All rights reserved.
+import asyncio
+
+from azure.identity import AzureCliCredential
+
+from semantic_kernel.agents import AssistantAgentThread, AzureAssistantAgent
+from semantic_kernel.connectors.ai.open_ai import AzureOpenAISettings
+
+"""
+The following sample demonstrates how to create an OpenAI
+assistant using either Azure OpenAI or OpenAI and retrieve it from
+the server to create a new instance of the assistant. This is done by
+retrieving the assistant definition from the server using the Assistant's
+ID and creating a new instance of the assistant using the retrieved definition.
+"""
+
+
+async def main():
+    # Create the client using Azure OpenAI resources and configuration
+    client = AzureAssistantAgent.create_client(credential=AzureCliCredential())
+
+    # Create the assistant definition
+    definition = await client.beta.assistants.create(
+        model=AzureOpenAISettings().chat_deployment_name,
+        name="Assistant",
+        instructions="You are a helpful assistant answering questions about the world in one sentence.",
+    )
+
+    # Store the assistant ID
+    assistant_id = definition.id
+
+    # Retrieve the assistant definition from the server based on the assistant ID
+    new_asst_definition = await client.beta.assistants.retrieve(assistant_id)
+
+    # Create the AzureAssistantAgent instance using the client and the assistant definition
+    agent = AzureAssistantAgent(
+        client=client,
+        definition=new_asst_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: AssistantAgentThread = None
+
+    user_inputs = ["Why is the sky blue?"]
+
+    try:
+        for user_input in user_inputs:
+            print(f"# User: '{user_input}'")
+            async for response in agent.invoke(messages=user_input, thread=thread):
+                print(f"# {response.role}: {response.content}")
+                thread = response.thread
+    finally:
+        await thread.delete() if thread else None
+        await client.beta.assistants.delete(agent.id)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())