Allow different senders in nested chat (#2028)

* allow sender in nested chat

* description

* update example list

* doc format

* meta data

* add test

autogen/agentchat/conversable_agent.py

@@ -364,6 +364,8 @@ class ConversableAgent(LLMAgent):
         chat_to_run = []
         for i, c in enumerate(chat_queue):
             current_c = c.copy()
+            if current_c.get("sender") is None:
+                current_c["sender"] = recipient
             message = current_c.get("message")
             # If message is not provided in chat_queue, we by default use the last message from the original chat history as the first message in this nested chat (for the first chat in the chat queue).
             # NOTE: This setting is prone to change.
@@ -377,7 +379,7 @@ class ConversableAgent(LLMAgent):
                 chat_to_run.append(current_c)
         if not chat_to_run:
             return True, None
-        res = recipient.initiate_chats(chat_to_run)
+        res = initiate_chats(chat_to_run)
         return True, res[-1].summary
 
     def register_nested_chats(

test/agentchat/test_nested.py

@@ -15,7 +15,7 @@ def test_nested():
     llm_config = {"config_list": config_list}
 
     tasks = [
-        """What's Microsoft's Stock price today?""",
+        """What's the date today?""",
         """Make a pleasant joke about it.""",
     ]
 
@@ -60,6 +60,12 @@ def test_nested():
         # is_termination_msg=lambda x: x.get("content", "") == "",
     )
 
+    assistant_2 = autogen.AssistantAgent(
+        name="Assistant",
+        llm_config={"config_list": config_list},
+        # is_termination_msg=lambda x: x.get("content", "") == "",
+    )
+
     user = autogen.UserProxyAgent(
         name="User",
         human_input_mode="NEVER",
@@ -71,6 +77,17 @@ def test_nested():
         },  # Please set use_docker=True if docker is available to run the generated code. Using docker is safer than running the generated code directly.
     )
 
+    user_2 = autogen.UserProxyAgent(
+        name="User",
+        human_input_mode="NEVER",
+        is_termination_msg=lambda x: x.get("content", "").find("TERMINATE") >= 0,
+        code_execution_config={
+            "last_n_messages": 1,
+            "work_dir": "tasks",
+            "use_docker": False,
+        },  # Please set use_docker=True if docker is available to run the generated code. Using docker is safer than running the generated code directly.
+    )
+
     writer = autogen.AssistantAgent(
         name="Writer",
         llm_config={"config_list": config_list},
@@ -82,7 +99,7 @@ def test_nested():
         """,
     )
 
-    reviewer = autogen.AssistantAgent(
+    autogen.AssistantAgent(
         name="Reviewer",
         llm_config={"config_list": config_list},
         system_message="""
@@ -98,23 +115,19 @@ def test_nested():
     )
 
     def writing_message(recipient, messages, sender, config):
-        return f"Polish the content to make an engaging and nicely formatted blog post. \n\n {recipient.chat_messages_for_summary(sender)[-1]['content']}"
+        return f"Make a one-sentence comment. \n\n {recipient.chat_messages_for_summary(sender)[-1]['content']}"
 
     nested_chat_queue = [
-        {"recipient": manager, "summary_method": "reflection_with_llm"},
+        {"sender": user_2, "recipient": manager, "summary_method": "reflection_with_llm"},
         {"recipient": writer, "message": writing_message, "summary_method": "last_msg", "max_turns": 1},
-        {
-            "recipient": reviewer,
-            "message": "Review the content provided.",
-            "summary_method": "last_msg",
-            "max_turns": 1,
-        },
     ]
     assistant.register_nested_chats(
         nested_chat_queue,
         trigger=user,
     )
-    user.initiate_chats([{"recipient": assistant, "message": tasks[0]}, {"recipient": assistant, "message": tasks[1]}])
+    user.initiate_chats(
+        [{"recipient": assistant, "message": tasks[0], "max_turns": 1}, {"recipient": assistant_2, "message": tasks[1]}]
+    )
 
 
 if __name__ == "__main__":

website/docs/Examples.md

@@ -31,7 +31,8 @@ Links to notebook examples:
 
 1. **Nested Chats**
    - Solving Complex Tasks with Nested Chats - [View Notebook](/docs/notebooks/agentchat_nestedchat)
-    - OptiGuide for Solving a Supply Chain Optimization Problem with Nested Chats with a Coding Agent and a Safeguard Agent - [View Notebook](/docs/notebooks/agentchat_nestedchat_optiguide)
+   - Solving Complex Tasks with A Sequence of Nested Chats - [View Notebook](/docs/notebooks/agentchat_nested_sequential_chats)
+   - OptiGuide for Solving a Supply Chain Optimization Problem with Nested Chats with a Coding Agent and a Safeguard Agent - [View Notebook](/docs/notebooks/agentchat_nestedchat_optiguide)
 
 1. **Applications**