From 4886cb56891af6ccf3e6d694bd97f571623fa6f8 Mon Sep 17 00:00:00 2001
From: Chi Wang <wang.chi@microsoft.com>
Date: Mon, 11 Sep 2023 17:07:35 -0700
Subject: [PATCH] Rename Responsive -> Conversable (#1202)
* responsive -> conversable
* preview
* rename
* register reply
* rename and version
* bump version to 2.1.0
* notebook
* bug fix
---
flaml/autogen/agentchat/__init__.py | 4 +-
flaml/autogen/agentchat/assistant_agent.py | 8 ++--
.../contrib/math_user_proxy_agent.py | 2 +-
.../contrib/retrieve_assistant_agent.py | 2 +-
.../contrib/retrieve_user_proxy_agent.py | 2 +-
...sponsive_agent.py => conversable_agent.py} | 26 +++++------
flaml/autogen/agentchat/groupchat.py | 8 ++--
flaml/autogen/agentchat/user_proxy_agent.py | 8 ++--
flaml/version.py | 2 +-
notebook/autogen_agentchat_chess.ipynb | 10 ++--
notebook/autogen_agentchat_stream.ipynb | 4 +-
test/autogen/agentchat/test_async.py | 2 +-
...ive_agent.py => test_conversable_agent.py} | 46 +++++++++----------
test/autogen/agentchat/test_groupchat.py | 12 ++---
website/docs/Use-Cases/Autogen.md | 2 +-
15 files changed, 69 insertions(+), 69 deletions(-)
rename flaml/autogen/agentchat/{responsive_agent.py => conversable_agent.py} (98%)
rename test/autogen/agentchat/{test_responsive_agent.py => test_conversable_agent.py} (77%)
diff --git a/flaml/autogen/agentchat/__init__.py b/flaml/autogen/agentchat/__init__.py
index bcbc643a84..6ce32edb7c 100644
--- a/flaml/autogen/agentchat/__init__.py
+++ b/flaml/autogen/agentchat/__init__.py
@@ -1,12 +1,12 @@
from .agent import Agent
-from .responsive_agent import ResponsiveAgent
+from .conversable_agent import ConversableAgent
from .assistant_agent import AssistantAgent
from .user_proxy_agent import UserProxyAgent
from .groupchat import GroupChat, GroupChatManager
__all__ = [
"Agent",
- "ResponsiveAgent",
+ "ConversableAgent",
"AssistantAgent",
"UserProxyAgent",
"GroupChat",
diff --git a/flaml/autogen/agentchat/assistant_agent.py b/flaml/autogen/agentchat/assistant_agent.py
index 85fb93a90a..3f113a0412 100644
--- a/flaml/autogen/agentchat/assistant_agent.py
+++ b/flaml/autogen/agentchat/assistant_agent.py
@@ -1,11 +1,11 @@
-from .responsive_agent import ResponsiveAgent
+from .conversable_agent import ConversableAgent
from typing import Callable, Dict, Optional, Union
-class AssistantAgent(ResponsiveAgent):
+class AssistantAgent(ConversableAgent):
"""(In preview) Assistant agent, designed to solve a task with LLM.
- AssistantAgent is a subclass of ResponsiveAgent configured with a default system message.
+ AssistantAgent is a subclass of ConversableAgent configured with a default system message.
The default system message is designed to solve a task with LLM,
including suggesting python code blocks and debugging.
`human_input_mode` is default to "NEVER"
@@ -52,7 +52,7 @@ def __init__(
default to None (no limit provided, class attribute MAX_CONSECUTIVE_AUTO_REPLY will be used as the limit in this case).
The limit only plays a role when human_input_mode is not "ALWAYS".
**kwargs (dict): Please refer to other kwargs in
- [ResponsiveAgent](responsive_agent#__init__).
+ [ConversableAgent](conversable_agent#__init__).
"""
super().__init__(
name,
diff --git a/flaml/autogen/agentchat/contrib/math_user_proxy_agent.py b/flaml/autogen/agentchat/contrib/math_user_proxy_agent.py
index 3455847051..829e719516 100644
--- a/flaml/autogen/agentchat/contrib/math_user_proxy_agent.py
+++ b/flaml/autogen/agentchat/contrib/math_user_proxy_agent.py
@@ -165,7 +165,7 @@ def __init__(
default_auto_reply=default_auto_reply,
**kwargs,
)
- self.register_auto_reply([Agent, None], MathUserProxyAgent._generate_math_reply, 1)
+ self.register_reply([Agent, None], MathUserProxyAgent._generate_math_reply, 1)
# fixed var
self._max_invalid_q_per_step = max_invalid_q_per_step
diff --git a/flaml/autogen/agentchat/contrib/retrieve_assistant_agent.py b/flaml/autogen/agentchat/contrib/retrieve_assistant_agent.py
index 694d7d45da..295ebc68fb 100644
--- a/flaml/autogen/agentchat/contrib/retrieve_assistant_agent.py
+++ b/flaml/autogen/agentchat/contrib/retrieve_assistant_agent.py
@@ -16,7 +16,7 @@ class RetrieveAssistantAgent(AssistantAgent):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
- self.register_auto_reply(Agent, RetrieveAssistantAgent._generate_retrieve_assistant_reply)
+ self.register_reply(Agent, RetrieveAssistantAgent._generate_retrieve_assistant_reply)
def _generate_retrieve_assistant_reply(
self,
diff --git a/flaml/autogen/agentchat/contrib/retrieve_user_proxy_agent.py b/flaml/autogen/agentchat/contrib/retrieve_user_proxy_agent.py
index 35fb3ad302..8ad7050cf3 100644
--- a/flaml/autogen/agentchat/contrib/retrieve_user_proxy_agent.py
+++ b/flaml/autogen/agentchat/contrib/retrieve_user_proxy_agent.py
@@ -148,7 +148,7 @@ def __init__(
self._ipython = get_ipython()
self._doc_idx = -1 # the index of the current used doc
self._results = {} # the results of the current query
- self.register_auto_reply(Agent, RetrieveUserProxyAgent._generate_retrieve_user_reply)
+ self.register_reply(Agent, RetrieveUserProxyAgent._generate_retrieve_user_reply)
@staticmethod
def get_max_tokens(model="gpt-3.5-turbo"):
diff --git a/flaml/autogen/agentchat/responsive_agent.py b/flaml/autogen/agentchat/conversable_agent.py
similarity index 98%
rename from flaml/autogen/agentchat/responsive_agent.py
rename to flaml/autogen/agentchat/conversable_agent.py
index bac14bed39..813634119c 100644
--- a/flaml/autogen/agentchat/responsive_agent.py
+++ b/flaml/autogen/agentchat/conversable_agent.py
@@ -21,11 +21,11 @@ def colored(x, *args, **kwargs):
return x
-class ResponsiveAgent(Agent):
- """(Experimental) A class for generic responsive agents which can be configured as assistant or user proxy.
+class ConversableAgent(Agent):
+ """(In preview) A class for generic conversable agents which can be configured as assistant or user proxy.
After receiving each message, the agent will send a reply to the sender unless the msg is a termination msg.
- For example, AssistantAgent and UserProxyAgent are subclasses of ResponsiveAgent,
+ For example, AssistantAgent and UserProxyAgent are subclasses of this class,
configured with different default settings.
To modify auto reply, override `generate_reply` method.
@@ -119,12 +119,12 @@ def __init__(
self._default_auto_reply = default_auto_reply
self._reply_func_list = []
self.reply_at_receive = defaultdict(bool)
- self.register_auto_reply([Agent, None], ResponsiveAgent.generate_oai_reply)
- self.register_auto_reply([Agent, None], ResponsiveAgent.generate_code_execution_reply)
- self.register_auto_reply([Agent, None], ResponsiveAgent.generate_function_call_reply)
- self.register_auto_reply([Agent, None], ResponsiveAgent.check_termination_and_human_reply)
+ self.register_reply([Agent, None], ConversableAgent.generate_oai_reply)
+ self.register_reply([Agent, None], ConversableAgent.generate_code_execution_reply)
+ self.register_reply([Agent, None], ConversableAgent.generate_function_call_reply)
+ self.register_reply([Agent, None], ConversableAgent.check_termination_and_human_reply)
- def register_auto_reply(
+ def register_reply(
self,
trigger: Union[Type[Agent], str, Agent, Callable[[Agent], bool], List],
reply_func: Callable,
@@ -151,7 +151,7 @@ def register_auto_reply(
The function takes a recipient agent, a list of messages, a sender agent and a config as input and returns a reply message.
```python
def reply_func(
- recipient: ResponsiveAgent,
+ recipient: ConversableAgent,
messages: Optional[List[Dict]] = None,
sender: Optional[Agent] = None,
config: Optional[Any] = None,
@@ -499,7 +499,7 @@ def _prepare_chat(self, recipient, clear_history):
def initiate_chat(
self,
- recipient: "ResponsiveAgent",
+ recipient: "ConversableAgent",
clear_history: Optional[bool] = True,
silent: Optional[bool] = False,
**context,
@@ -522,7 +522,7 @@ def initiate_chat(
async def a_initiate_chat(
self,
- recipient: "ResponsiveAgent",
+ recipient: "ConversableAgent",
clear_history: Optional[bool] = True,
silent: Optional[bool] = False,
**context,
@@ -610,8 +610,8 @@ def generate_code_execution_reply(
return False, None
if messages is None:
messages = self._oai_messages[sender]
- last_n_messages = min(len(messages), code_execution_config.pop("last_n_messages", 1))
- for i in range(last_n_messages):
+ last_n_messages = code_execution_config.pop("last_n_messages", 1)
+ for i in range(min(len(messages), last_n_messages)):
message = messages[-(i + 1)]
code_blocks = extract_code(message["content"])
if len(code_blocks) == 1 and code_blocks[0][0] == UNKNOWN:
diff --git a/flaml/autogen/agentchat/groupchat.py b/flaml/autogen/agentchat/groupchat.py
index 72ea0c0ac5..fae72f26ac 100644
--- a/flaml/autogen/agentchat/groupchat.py
+++ b/flaml/autogen/agentchat/groupchat.py
@@ -2,7 +2,7 @@
import sys
from typing import Dict, List, Optional, Union
from .agent import Agent
-from .responsive_agent import ResponsiveAgent
+from .conversable_agent import ConversableAgent
@dataclass
@@ -39,7 +39,7 @@ def select_speaker_msg(self):
Read the following conversation.
Then select the next role from {self.agent_names} to play. Only return the role."""
- def select_speaker(self, last_speaker: Agent, selector: ResponsiveAgent):
+ def select_speaker(self, last_speaker: Agent, selector: ConversableAgent):
"""Select the next speaker."""
selector.update_system_message(self.select_speaker_msg())
final, name = selector.generate_oai_reply(
@@ -63,7 +63,7 @@ def _participant_roles(self):
return "\n".join([f"{agent.name}: {agent.system_message}" for agent in self.agents])
-class GroupChatManager(ResponsiveAgent):
+class GroupChatManager(ConversableAgent):
"""(In preview) A chat manager agent that can manage a group chat of multiple agents."""
def __init__(
@@ -84,7 +84,7 @@ def __init__(
system_message=system_message,
**kwargs,
)
- self.register_auto_reply(Agent, GroupChatManager.run_chat, config=groupchat, reset_config=GroupChat.reset)
+ self.register_reply(Agent, GroupChatManager.run_chat, config=groupchat, reset_config=GroupChat.reset)
# self._random = random.Random(seed)
def run_chat(
diff --git a/flaml/autogen/agentchat/user_proxy_agent.py b/flaml/autogen/agentchat/user_proxy_agent.py
index d81c34659e..d6aeed7cc2 100644
--- a/flaml/autogen/agentchat/user_proxy_agent.py
+++ b/flaml/autogen/agentchat/user_proxy_agent.py
@@ -1,14 +1,14 @@
-from .responsive_agent import ResponsiveAgent
+from .conversable_agent import ConversableAgent
from typing import Callable, Dict, Optional, Union
-class UserProxyAgent(ResponsiveAgent):
+class UserProxyAgent(ConversableAgent):
"""(In preview) A proxy agent for the user, that can execute code and provide feedback to the other agents.
- UserProxyAgent is a subclass of ResponsiveAgent configured with `human_input_mode` to ALWAYS
+ UserProxyAgent is a subclass of ConversableAgent configured with `human_input_mode` to ALWAYS
and `llm_config` to False. By default, the agent will prompt for human input every time a message is received.
Code execution is enabled by default. LLM-based auto reply is disabled by default.
- To modify auto reply, register a method with (`register_auto_reply`)[responsive_agent#register_auto_reply].
+ To modify auto reply, register a method with (`register_reply`)[conversable_agent#register_reply].
To modify the way to get human input, override `get_human_input` method.
To modify the way to execute code blocks, single code block, or function call, override `execute_code_blocks`,
`run_code`, and `execute_function` methods respectively.
diff --git a/flaml/version.py b/flaml/version.py
index 5fa9130a6c..9aa3f90365 100644
--- a/flaml/version.py
+++ b/flaml/version.py
@@ -1 +1 @@
-__version__ = "2.0.3"
+__version__ = "2.1.0"
diff --git a/notebook/autogen_agentchat_chess.ipynb b/notebook/autogen_agentchat_chess.ipynb
index 3c70d3ef27..e72880ae3c 100644
--- a/notebook/autogen_agentchat_chess.ipynb
+++ b/notebook/autogen_agentchat_chess.ipynb
@@ -35,7 +35,7 @@
"outputs": [],
"source": [
"%%capture --no-stderr\n",
- "# %pip install flaml[autogen]~=2.0.0\n",
+ "# %pip install flaml[autogen]~=2.1.0\n",
"%pip install chess -U"
]
},
@@ -158,7 +158,7 @@
" llm_config={\"temperature\": 0.0, \"config_list\": config_list_gpt4},\n",
" max_consecutive_auto_reply=10,\n",
" )\n",
- " self.register_auto_reply(autogen.ResponsiveAgent, BoardAgent._generate_board_reply)\n",
+ " self.register_reply(autogen.ConversableAgent, BoardAgent._generate_board_reply)\n",
" self.board = board\n",
" self.correct_move_messages = defaultdict(list)\n",
"\n",
@@ -226,8 +226,8 @@
" max_consecutive_auto_reply=max_turns,\n",
" **kwargs,\n",
" )\n",
- " self.register_auto_reply(BoardAgent, ChessPlayerAgent._generate_reply_for_board, config=board_agent.board)\n",
- " self.register_auto_reply(ChessPlayerAgent, ChessPlayerAgent._generate_reply_for_player, config=board_agent)\n",
+ " self.register_reply(BoardAgent, ChessPlayerAgent._generate_reply_for_board, config=board_agent.board)\n",
+ " self.register_reply(ChessPlayerAgent, ChessPlayerAgent._generate_reply_for_player, config=board_agent)\n",
" self.update_max_consecutive_auto_reply(board_agent.max_consecutive_auto_reply(), board_agent)\n",
"\n",
" def _generate_reply_for_board(\n",
@@ -262,7 +262,7 @@
" return True, None\n",
" # converse with the board until a legal move is made or max allowed retries.\n",
" # change silent to False to see that conversation.\n",
- " self.initiate_chat(board_agent, clear_history=False, message=message, silent=True)\n",
+ " self.initiate_chat(board_agent, clear_history=False, message=message, silent=self.human_input_mode == \"NEVER\")\n",
" # last message sent by the board agent\n",
" last_message = self._oai_messages[board_agent][-1]\n",
" if last_message[\"role\"] == \"assistant\":\n",
diff --git a/notebook/autogen_agentchat_stream.ipynb b/notebook/autogen_agentchat_stream.ipynb
index 0bc4d7ad34..5bb3828b20 100644
--- a/notebook/autogen_agentchat_stream.ipynb
+++ b/notebook/autogen_agentchat_stream.ipynb
@@ -45,7 +45,7 @@
},
"outputs": [],
"source": [
- "# %pip install flaml[autogen]~=2.0.0"
+ "# %pip install flaml[autogen]~=2.1.0"
]
},
{
@@ -258,7 +258,7 @@
" )\n",
" return False, None\n",
"\n",
- "user_proxy.register_auto_reply(autogen.AssistantAgent, add_data_reply, 1, config={\"news_stream\": data})"
+ "user_proxy.register_reply(autogen.AssistantAgent, add_data_reply, 1, config={\"news_stream\": data})"
]
},
{
diff --git a/test/autogen/agentchat/test_async.py b/test/autogen/agentchat/test_async.py
index 662d030f2d..8d523ecf81 100644
--- a/test/autogen/agentchat/test_async.py
+++ b/test/autogen/agentchat/test_async.py
@@ -98,7 +98,7 @@ async def add_data_reply(recipient, messages, sender, config):
)
return False, None
- user_proxy.register_auto_reply(autogen.AssistantAgent, add_data_reply, 1, config={"news_stream": data})
+ user_proxy.register_reply(autogen.AssistantAgent, add_data_reply, 1, config={"news_stream": data})
await user_proxy.a_initiate_chat(
assistant,
diff --git a/test/autogen/agentchat/test_responsive_agent.py b/test/autogen/agentchat/test_conversable_agent.py
similarity index 77%
rename from test/autogen/agentchat/test_responsive_agent.py
rename to test/autogen/agentchat/test_conversable_agent.py
index 4d44f02ce5..23f4a223c2 100644
--- a/test/autogen/agentchat/test_responsive_agent.py
+++ b/test/autogen/agentchat/test_conversable_agent.py
@@ -1,48 +1,48 @@
import pytest
-from flaml.autogen.agentchat import ResponsiveAgent
+from flaml.autogen.agentchat import ConversableAgent
def test_trigger():
- agent = ResponsiveAgent("a0", max_consecutive_auto_reply=0, llm_config=False, human_input_mode="NEVER")
- agent1 = ResponsiveAgent("a1", max_consecutive_auto_reply=0, human_input_mode="NEVER")
- agent.register_auto_reply(agent1, lambda recipient, messages, sender, config: (True, "hello"))
+ agent = ConversableAgent("a0", max_consecutive_auto_reply=0, llm_config=False, human_input_mode="NEVER")
+ agent1 = ConversableAgent("a1", max_consecutive_auto_reply=0, human_input_mode="NEVER")
+ agent.register_reply(agent1, lambda recipient, messages, sender, config: (True, "hello"))
agent1.initiate_chat(agent, message="hi")
assert agent1.last_message(agent)["content"] == "hello"
- agent.register_auto_reply("a1", lambda recipient, messages, sender, config: (True, "hello a1"))
+ agent.register_reply("a1", lambda recipient, messages, sender, config: (True, "hello a1"))
agent1.initiate_chat(agent, message="hi")
assert agent1.last_message(agent)["content"] == "hello a1"
- agent.register_auto_reply(
- ResponsiveAgent, lambda recipient, messages, sender, config: (True, "hello responsive agent")
+ agent.register_reply(
+ ConversableAgent, lambda recipient, messages, sender, config: (True, "hello conversable agent")
)
agent1.initiate_chat(agent, message="hi")
- assert agent1.last_message(agent)["content"] == "hello responsive agent"
- agent.register_auto_reply(
+ assert agent1.last_message(agent)["content"] == "hello conversable agent"
+ agent.register_reply(
lambda sender: sender.name.startswith("a"), lambda recipient, messages, sender, config: (True, "hello a")
)
agent1.initiate_chat(agent, message="hi")
assert agent1.last_message(agent)["content"] == "hello a"
- agent.register_auto_reply(
+ agent.register_reply(
lambda sender: sender.name.startswith("b"), lambda recipient, messages, sender, config: (True, "hello b")
)
agent1.initiate_chat(agent, message="hi")
assert agent1.last_message(agent)["content"] == "hello a"
- agent.register_auto_reply(
+ agent.register_reply(
["agent2", agent1], lambda recipient, messages, sender, config: (True, "hello agent2 or agent1")
)
agent1.initiate_chat(agent, message="hi")
assert agent1.last_message(agent)["content"] == "hello agent2 or agent1"
- agent.register_auto_reply(
+ agent.register_reply(
["agent2", "agent3"], lambda recipient, messages, sender, config: (True, "hello agent2 or agent3")
)
agent1.initiate_chat(agent, message="hi")
assert agent1.last_message(agent)["content"] == "hello agent2 or agent1"
- pytest.raises(ValueError, agent.register_auto_reply, 1, lambda recipient, messages, sender, config: (True, "hi"))
+ pytest.raises(ValueError, agent.register_reply, 1, lambda recipient, messages, sender, config: (True, "hi"))
pytest.raises(ValueError, agent._match_trigger, 1, agent1)
def test_context():
- agent = ResponsiveAgent("a0", max_consecutive_auto_reply=0, llm_config=False, human_input_mode="NEVER")
- agent1 = ResponsiveAgent("a1", max_consecutive_auto_reply=0, human_input_mode="NEVER")
+ agent = ConversableAgent("a0", max_consecutive_auto_reply=0, llm_config=False, human_input_mode="NEVER")
+ agent1 = ConversableAgent("a1", max_consecutive_auto_reply=0, human_input_mode="NEVER")
agent1.send(
{
"content": "hello {name}",
@@ -77,8 +77,8 @@ def test_context():
def test_max_consecutive_auto_reply():
- agent = ResponsiveAgent("a0", max_consecutive_auto_reply=2, llm_config=False, human_input_mode="NEVER")
- agent1 = ResponsiveAgent("a1", max_consecutive_auto_reply=0, human_input_mode="NEVER")
+ agent = ConversableAgent("a0", max_consecutive_auto_reply=2, llm_config=False, human_input_mode="NEVER")
+ agent1 = ConversableAgent("a1", max_consecutive_auto_reply=0, human_input_mode="NEVER")
assert agent.max_consecutive_auto_reply() == agent.max_consecutive_auto_reply(agent1) == 2
agent.update_max_consecutive_auto_reply(1)
assert agent.max_consecutive_auto_reply() == agent.max_consecutive_auto_reply(agent1) == 1
@@ -105,9 +105,9 @@ def test_max_consecutive_auto_reply():
assert agent1.reply_at_receive[agent] is False and agent.reply_at_receive[agent1] is True
-def test_responsive_agent():
- dummy_agent_1 = ResponsiveAgent(name="dummy_agent_1", human_input_mode="ALWAYS")
- dummy_agent_2 = ResponsiveAgent(name="dummy_agent_2", human_input_mode="TERMINATE")
+def test_conversable_agent():
+ dummy_agent_1 = ConversableAgent(name="dummy_agent_1", human_input_mode="ALWAYS")
+ dummy_agent_2 = ConversableAgent(name="dummy_agent_2", human_input_mode="TERMINATE")
# monkeypatch.setattr(sys, "stdin", StringIO("exit"))
dummy_agent_1.receive("hello", dummy_agent_2) # receive a str
@@ -159,7 +159,7 @@ def add_num(num_to_be_added):
given_num = 10
return num_to_be_added + given_num
- dummy_agent_2 = ResponsiveAgent(name="user_proxy", human_input_mode="TERMINATE", function_map={"add_num": add_num})
+ dummy_agent_2 = ConversableAgent(name="user_proxy", human_input_mode="TERMINATE", function_map={"add_num": add_num})
messsages = [{"function_call": {"name": "add_num", "arguments": '{ "num_to_be_added": 5 }'}, "role": "assistant"}]
# when sender is None, messages is provided
@@ -168,7 +168,7 @@ def add_num(num_to_be_added):
), "generate_reply not working when sender is None"
# when sender is provided, messages is None
- dummy_agent_1 = ResponsiveAgent(name="dummy_agent_1", human_input_mode="ALWAYS")
+ dummy_agent_1 = ConversableAgent(name="dummy_agent_1", human_input_mode="ALWAYS")
dummy_agent_2._oai_messages[dummy_agent_1] = messsages
assert (
dummy_agent_2.generate_reply(messages=None, sender=dummy_agent_1)["content"] == "15"
@@ -179,4 +179,4 @@ def add_num(num_to_be_added):
test_trigger()
# test_context()
# test_max_consecutive_auto_reply()
- # test_responsive_agent(pytest.monkeypatch)
+ # test_conversable_agent(pytest.monkeypatch)
diff --git a/test/autogen/agentchat/test_groupchat.py b/test/autogen/agentchat/test_groupchat.py
index 3b8a307970..51db4cb2d5 100644
--- a/test/autogen/agentchat/test_groupchat.py
+++ b/test/autogen/agentchat/test_groupchat.py
@@ -2,14 +2,14 @@
def test_chat_manager():
- agent1 = autogen.ResponsiveAgent(
+ agent1 = autogen.ConversableAgent(
"alice",
max_consecutive_auto_reply=2,
human_input_mode="NEVER",
llm_config=False,
default_auto_reply="This is alice sepaking.",
)
- agent2 = autogen.ResponsiveAgent(
+ agent2 = autogen.ConversableAgent(
"bob",
max_consecutive_auto_reply=2,
human_input_mode="NEVER",
@@ -33,14 +33,14 @@ def test_chat_manager():
def test_plugin():
# Give another Agent class ability to manage group chat
- agent1 = autogen.ResponsiveAgent(
+ agent1 = autogen.ConversableAgent(
"alice",
max_consecutive_auto_reply=2,
human_input_mode="NEVER",
llm_config=False,
default_auto_reply="This is alice sepaking.",
)
- agent2 = autogen.ResponsiveAgent(
+ agent2 = autogen.ConversableAgent(
"bob",
max_consecutive_auto_reply=2,
human_input_mode="NEVER",
@@ -48,8 +48,8 @@ def test_plugin():
default_auto_reply="This is bob speaking.",
)
groupchat = autogen.GroupChat(agents=[agent1, agent2], messages=[], max_round=2)
- group_chat_manager = autogen.ResponsiveAgent(name="deputy_manager", llm_config=False)
- group_chat_manager.register_auto_reply(
+ group_chat_manager = autogen.ConversableAgent(name="deputy_manager", llm_config=False)
+ group_chat_manager.register_reply(
autogen.Agent,
reply_func=autogen.GroupChatManager.run_chat,
config=groupchat,
diff --git a/website/docs/Use-Cases/Autogen.md b/website/docs/Use-Cases/Autogen.md
index 8bd799db49..58a4c90027 100644
--- a/website/docs/Use-Cases/Autogen.md
+++ b/website/docs/Use-Cases/Autogen.md
@@ -1,3 +1,3 @@
-# AutoGen: Enabling Next-Gen GPT-X Applications
+# AutoGen for Large Language Models
Please refer to https://microsoft.github.io/autogen/.