Removed list_messages method from thread (#564)

python/samples/getting_started/agents/azure_chat_client/azure_chat_client_with_thread.py

@@ -101,10 +101,9 @@ async def example_with_existing_thread_messages() -> None:
     print(f"Agent: {result1.text}")
 
     # The thread now contains the conversation history in memory
-    messages = await thread.list_messages()
-
-    message_count = len(messages or [])
-    print(f"Thread contains {message_count} messages")
+    if thread.message_store:
+        messages = await thread.message_store.list_messages()
+        print(f"Thread contains {len(messages or [])} messages")
 
     print("\n--- Continuing with the same thread in a new agent instance ---")
 
@@ -125,8 +124,7 @@ async def example_with_existing_thread_messages() -> None:
     print("\n--- Alternative: Creating a new thread from existing messages ---")
 
     # You can also create a new thread from existing messages
-    messages = await thread.list_messages()
-
+    messages = await thread.message_store.list_messages() if thread.message_store else []
     new_thread = AgentThread(message_store=ChatMessageList(messages))
 
     query3 = "How does the Paris weather compare to London?"

python/samples/getting_started/agents/azure_responses_client/azure_responses_client_with_thread.py

@@ -67,21 +67,18 @@ async def example_with_thread_persistence_in_memory() -> None:
     print(f"User: {query1}")
     result1 = await agent.run(query1, thread=thread)
     print(f"Agent: {result1.text}")
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
 
     # Second conversation using the same thread - maintains context
     query2 = "How about London?"
     print(f"\nUser: {query2}")
     result2 = await agent.run(query2, thread=thread)
     print(f"Agent: {result2.text}")
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
 
     # Third conversation - agent should remember both previous cities
     query3 = "Which of the cities I asked about has better weather?"
     print(f"\nUser: {query3}")
     result3 = await agent.run(query3, thread=thread)
     print(f"Agent: {result3.text}")
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
     print("Note: The agent remembers context from previous messages in the same thread.\n")
 
 
@@ -111,7 +108,6 @@ async def example_with_existing_thread_id() -> None:
     # Enable Azure OpenAI conversation state by setting `store` parameter to True
     result1 = await agent.run(query1, thread=thread, store=True)
     print(f"Agent: {result1.text}")
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
 
     # The thread ID is set after the first response
     existing_thread_id = thread.service_thread_id
@@ -133,7 +129,6 @@ async def example_with_existing_thread_id() -> None:
         print(f"User: {query2}")
         result2 = await agent.run(query2, thread=thread, store=True)
         print(f"Agent: {result2.text}")
-        print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
         print("Note: The agent continues the conversation from the previous thread by using thread ID.\n")
 
 

python/samples/getting_started/agents/openai_chat_client/openai_chat_client_with_thread.py

@@ -94,10 +94,9 @@ async def example_with_existing_thread_messages() -> None:
     print(f"Agent: {result1.text}")
 
     # The thread now contains the conversation history in memory
-    messages = await thread.list_messages()
-
-    message_count = len(messages or [])
-    print(f"Thread contains {message_count} messages")
+    if thread.message_store:
+        messages = await thread.message_store.list_messages()
+        print(f"Thread contains {len(messages or [])} messages")
 
     print("\n--- Continuing with the same thread in a new agent instance ---")
 
@@ -118,7 +117,7 @@ async def example_with_existing_thread_messages() -> None:
     print("\n--- Alternative: Creating a new thread from existing messages ---")
 
     # You can also create a new thread from existing messages
-    messages = await thread.list_messages()
+    messages = await thread.message_store.list_messages() if thread.message_store else []
 
     new_thread = AgentThread(message_store=ChatMessageList(messages))
 

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_with_thread.py

@@ -63,22 +63,17 @@ async def example_with_thread_persistence_in_memory() -> None:
     result1 = await agent.run(query1, thread=thread)
     print(f"Agent: {result1.text}")
 
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
-
     # Second conversation using the same thread - maintains context
     query2 = "How about London?"
     print(f"\nUser: {query2}")
     result2 = await agent.run(query2, thread=thread)
     print(f"Agent: {result2.text}")
 
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
-
     # Third conversation - agent should remember both previous cities
     query3 = "Which of the cities I asked about has better weather?"
     print(f"\nUser: {query3}")
     result3 = await agent.run(query3, thread=thread)
     print(f"Agent: {result3.text}")
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
     print("Note: The agent remembers context from previous messages in the same thread.\n")
 
 
@@ -106,7 +101,6 @@ async def example_with_existing_thread_id() -> None:
     # Enable OpenAI conversation state by setting `store` parameter to True
     result1 = await agent.run(query1, thread=thread, store=True)
     print(f"Agent: {result1.text}")
-    print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
 
     # The thread ID is set after the first response
     existing_thread_id = thread.service_thread_id
@@ -128,7 +122,6 @@ async def example_with_existing_thread_id() -> None:
         print(f"User: {query2}")
         result2 = await agent.run(query2, thread=thread, store=True)
         print(f"Agent: {result2.text}")
-        print(f"Thread contains {len(await thread.list_messages() or [])} messages in-memory.")
         print("Note: The agent continues the conversation from the previous thread by using thread ID.\n")