test

python/samples/getting_started/threads/suspend_resume_thread.py

@@ -0,0 +1,92 @@
+# 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(credential=credential).as_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().as_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())