Merge branch 'main' into crickman/dotnet-sample-improvements

python/samples/02-agents/conversations/redis_history_provider.py

@@ -20,7 +20,6 @@ management, enabling persistent conversation history storage across sessions
 with Redis as the backend data store.
 """
 
-
 # Default Redis URL for local Redis Stack.
 # Override via the REDIS_URL environment variable for remote or authenticated instances.
 REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379")

python/samples/03-workflows/agents/azure_chat_agents_tool_calls_with_feedback.py

@@ -153,7 +153,7 @@ class Coordinator(Executor):
             # Human approved the draft as-is; forward it unchanged.
             await ctx.send_message(
                 AgentExecutorRequest(
-                    messages=original_request.conversation + [Message("user", text="The draft is approved as-is.")],
+                    messages=[*original_request.conversation, *[Message("user", text="The draft is approved as-is.")]],
                     should_respond=True,
                 ),
                 target_id=self.final_editor_id,
@@ -161,16 +161,15 @@ class Coordinator(Executor):
             return
 
         # Human provided feedback; prompt the writer to revise.
-        conversation: list[Message] = list(original_request.conversation)
         instruction = (
             "A human reviewer shared the following guidance:\n"
             f"{note or 'No specific guidance provided.'}\n\n"
             "Rewrite the draft from the previous assistant message into a polished final version. "
             "Keep the response under 120 words and reflect any requested tone adjustments."
         )
-        conversation.append(Message("user", text=instruction))
         await ctx.send_message(
-            AgentExecutorRequest(messages=conversation, should_respond=True), target_id=self.writer_id
+            AgentExecutorRequest(messages=[Message("user", text=instruction)], should_respond=True),
+            target_id=self.writer_id,
         )
 
 

python/samples/03-workflows/human-in-the-loop/agents_with_HITL.py

@@ -123,7 +123,8 @@ class Coordinator(Executor):
         )
         conversation.append(Message("user", text=instruction))
         await ctx.send_message(
-            AgentExecutorRequest(messages=conversation, should_respond=True), target_id=self.writer_name
+            AgentExecutorRequest(messages=conversation, should_respond=True),
+            target_id=self.writer_name,
         )
 
 

python/samples/autogen-migration/orchestrations/01_round_robin_group_chat.py

@@ -144,7 +144,9 @@ async def run_agent_framework_with_cycle() -> None:
         if last_message and "APPROVED" in last_message.text:
             await context.yield_output("Content approved.")
         else:
-            await context.send_message(AgentExecutorRequest(messages=response.full_conversation, should_respond=True))
+            await context.send_message(
+                AgentExecutorRequest(messages=response.full_conversation, should_respond=True)
+            )
 
     workflow = (
         WorkflowBuilder(start_executor=researcher)