# Copyright (c) Microsoft. All rights reserved. import asyncio from agent_framework.azure import AzureAIAgentClient from agent_framework.openai import OpenAIChatClient from azure.identity.aio import AzureCliCredential """ Thread Suspend and Resume Example This sample demonstrates how to suspend and resume conversation threads, comparing service-managed threads (Azure AI) with in-memory threads (OpenAI) for persistent conversation state across sessions. """ async def suspend_resume_service_managed_thread() -> None: """Demonstrates how to suspend and resume a service-managed thread.""" print("=== Suspend-Resume Service-Managed Thread ===") # AzureAIAgentClient supports service-managed threads. async with ( AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent( name="MemoryBot", instructions="You are a helpful assistant that remembers our conversation." ) as agent, ): # Start a new thread for the agent conversation. thread = agent.get_new_thread() # Respond to user input. query = "Hello! My name is Alice and I love pizza." print(f"User: {query}") print(f"Agent: {await agent.run(query, thread=thread)}\n") # Serialize the thread state, so it can be stored for later use. serialized_thread = await thread.serialize() # The thread can now be saved to a database, file, or any other storage mechanism and loaded again later. print(f"Serialized thread: {serialized_thread}\n") # Deserialize the thread state after loading from storage. resumed_thread = await agent.deserialize_thread(serialized_thread) # Respond to user input. query = "What do you remember about me?" print(f"User: {query}") print(f"Agent: {await agent.run(query, thread=resumed_thread)}\n") async def suspend_resume_in_memory_thread() -> None: """Demonstrates how to suspend and resume an in-memory thread.""" print("=== Suspend-Resume In-Memory Thread ===") # OpenAI Chat Client is used as an example here, # other chat clients can be used as well. agent = OpenAIChatClient().create_agent( name="MemoryBot", instructions="You are a helpful assistant that remembers our conversation." ) # Start a new thread for the agent conversation. thread = agent.get_new_thread() # Respond to user input. query = "Hello! My name is Alice and I love pizza." print(f"User: {query}") print(f"Agent: {await agent.run(query, thread=thread)}\n") # Serialize the thread state, so it can be stored for later use. serialized_thread = await thread.serialize() # The thread can now be saved to a database, file, or any other storage mechanism and loaded again later. print(f"Serialized thread: {serialized_thread}\n") # Deserialize the thread state after loading from storage. resumed_thread = await agent.deserialize_thread(serialized_thread) # Respond to user input. query = "What do you remember about me?" print(f"User: {query}") print(f"Agent: {await agent.run(query, thread=resumed_thread)}\n") async def main() -> None: print("=== Suspend-Resume Thread Examples ===") await suspend_resume_service_managed_thread() await suspend_resume_in_memory_thread() if __name__ == "__main__": asyncio.run(main())