[Bug]: Error on autobuild_agnet_library

[JinSeoung-Oh]

Describe the bug

Actually, I built Gropchat with AutoGen based on this code : https://github.com/microsoft/autogen/blob/main/notebook/autobuild_agent_library.ipynb

It was well working, but suddenly it show below error

BadRequestError: Error code: 400 - {'error': {'message': "Invalid 'messages[1].name': string does not match pattern. Expected a string that matches the pattern '^[a-zA-Z0-9_-]+$'.", 'type': 'invalid_request_error', 'param': 'messages[1].name', 'code': 'invalid_value'}}

I tried to fix it, but I could not
So I just run code of "https://github.com/microsoft/autogen/blob/main/notebook/autobuild_agent_library.ipynb",
and it also returned below error

BadRequestError: Error code: 400 - {'error': {'message': "Invalid 'messages[1].name': string does not match pattern. Expected a string that matches the pattern '^[a-zA-Z0-9_-]+$'.", 'type': 'invalid_request_error', 'param': 'messages[1].name', 'code': 'invalid_value'}}

I cannot understand why.
On this morning it was fine.
Please how can I solve this problem?

Steps to reproduce

Just run "https://github.com/microsoft/autogen/blob/main/notebook/autobuild_agent_library.ipynb"

python ==3.10.14
torch == 3.2.0
torchaudio==2.1.1
torchvision==0.16.1
pyautogen==0.2.31
openai==1.30.2

Model Used

gpt-4o

Expected Behavior

Multi-turn conversation between LLM agnet

Screenshots and logs

==> Looking for suitable agents in the library...
['Network Administrator', 'IT Consultant', 'Blockchain Developer'] are selected.
==> Creating agents...
Creating agent Network Administrator...
Creating agent IT Consultant...
Creating agent Blockchain Developer...
Adding user console proxy...
Network Administrator (to chat_manager):

Find a recent paper about explainable AI on arxiv and find its potential applications in medical.

---

---

BadRequestError Traceback (most recent call last)
Cell In[57], line 5
1 new_builder = AgentBuilder(
2 config_file_or_env=config_file_or_env, builder_model="gpt-4o", agent_model="gpt-4o"
3 )
4 agent_list, _ = new_builder.build_from_library(building_task, library_path_or_json, llm_config)
----> 5 start_task(
6 execution_task="Find a recent paper about explainable AI on arxiv and find its potential applications in medical.",
7 agent_list=agent_list,
8 )
9 new_builder.clear_all_agents()

Cell In[55], line 13, in start_task(execution_task, agent_list)
11 group_chat = autogen.GroupChat(agents=agent_list, messages=[], max_round=12)
12 manager = autogen.GroupChatManager(groupchat=group_chat, llm_config={"config_list": config_list, **llm_config})
---> 13 agent_list[0].initiate_chat(manager, message=execution_task)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1018, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs)
1016 else:
1017 msg2send = self.generate_init_message(message, **kwargs)
-> 1018 self.send(msg2send, recipient, silent=silent)
1019 summary = self._summarize_chat(
1020 summary_method,
1021 summary_args,
1022 recipient,
1023 cache=cache,
1024 )
1025 for agent in [self, recipient]:

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:655, in ConversableAgent.send(self, message, recipient, request_reply, silent)
653 valid = self._append_oai_message(message, "assistant", recipient)
654 if valid:
--> 655 recipient.receive(message, self, request_reply, silent)
656 else:
657 raise ValueError(
658 "Message can't be converted into a valid ChatCompletion message. Either content or function_call must be provided."
659 )

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:818, in ConversableAgent.receive(self, message, sender, request_reply, silent)
816 if request_reply is False or request_reply is None and self.reply_at_receive[sender] is False:
817 return
--> 818 reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
819 if reply is not None:
820 self.send(reply, sender, silent=silent)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1972, in ConversableAgent.generate_reply(self, messages, sender, **kwargs)
1970 continue
1971 if self._match_trigger(reply_func_tuple["trigger"], sender):
-> 1972 final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple["config"])
1973 if logging_enabled():
1974 log_event(
1975 self,
1976 "reply_func_executed",
(...)
1980 reply=reply,
1981 )

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/groupchat.py:1047, in GroupChatManager.run_chat(self, messages, sender, config)
1044 break
1045 try:
1046 # select the next speaker
-> 1047 speaker = groupchat.select_speaker(speaker, self)
1048 if not silent:
1049 iostream = IOStream.get_default()

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/groupchat.py:538, in GroupChat.select_speaker(self, last_speaker, selector)
535 return self.next_agent(last_speaker)
537 # auto speaker selection with 2-agent chat
--> 538 return self._auto_select_speaker(last_speaker, selector, messages, agents)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/groupchat.py:658, in GroupChat._auto_select_speaker(self, last_speaker, selector, messages, agents)
655 start_message = messages[-1]
657 # Run the speaker selection chat
--> 658 result = checking_agent.initiate_chat(
659 speaker_selection_agent,
660 cache=None, # don't use caching for the speaker selection chat
661 message=start_message,
662 max_turns=2
663 * max(1, max_attempts), # Limiting the chat to the number of attempts, including the initial one
664 clear_history=False,
665 silent=not self.select_speaker_auto_verbose, # Base silence on the verbose attribute
666 )
668 return self._process_speaker_selection_result(result, last_speaker, agents)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1011, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs)
1009 if msg2send is None:
1010 break
-> 1011 self.send(msg2send, recipient, request_reply=True, silent=silent)
1012 else:
1013 self._prepare_chat(recipient, clear_history)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:655, in ConversableAgent.send(self, message, recipient, request_reply, silent)
653 valid = self._append_oai_message(message, "assistant", recipient)
654 if valid:
--> 655 recipient.receive(message, self, request_reply, silent)
656 else:
657 raise ValueError(
658 "Message can't be converted into a valid ChatCompletion message. Either content or function_call must be provided."
659 )

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:818, in ConversableAgent.receive(self, message, sender, request_reply, silent)
816 if request_reply is False or request_reply is None and self.reply_at_receive[sender] is False:
817 return
--> 818 reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
819 if reply is not None:
820 self.send(reply, sender, silent=silent)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1972, in ConversableAgent.generate_reply(self, messages, sender, **kwargs)
1970 continue
1971 if self._match_trigger(reply_func_tuple["trigger"], sender):
-> 1972 final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple["config"])
1973 if logging_enabled():
1974 log_event(
1975 self,
1976 "reply_func_executed",
(...)
1980 reply=reply,
1981 )

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1340, in ConversableAgent.generate_oai_reply(self, messages, sender, config)
1338 if messages is None:
1339 messages = self._oai_messages[sender]
-> 1340 extracted_response = self._generate_oai_reply_from_client(
1341 client, self._oai_system_message + messages, self.client_cache
1342 )
1343 return (False, None) if extracted_response is None else (True, extracted_response)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/agentchat/conversable_agent.py:1359, in ConversableAgent._generate_oai_reply_from_client(self, llm_client, messages, cache)
1356 all_messages.append(message)
1358 # TODO: #1143 handle token limit exceeded error
-> 1359 response = llm_client.create(
1360 context=messages[-1].pop("context", None), messages=all_messages, cache=cache, agent=self
1361 )
1362 extracted_response = llm_client.extract_text_or_completion_object(response)[0]
1364 if extracted_response is None:

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/oai/client.py:697, in OpenAIWrapper.create(self, **config)
695 try:
696 request_ts = get_current_ts()
--> 697 response = client.create(params)
698 except APITimeoutError as err:
699 logger.debug(f"config {i} timed out", exc_info=True)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/autogen/oai/client.py:306, in OpenAIClient.create(self, params)
304 params = params.copy()
305 params["stream"] = False
--> 306 response = completions.create(**params)
308 return response

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/openai/_utils/_utils.py:277, in required_args..inner..wrapper(*args, **kwargs)
275 msg = f"Missing required argument: {quote(missing[0])}"
276 raise TypeError(msg)
--> 277 return func(*args, **kwargs)

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/openai/resources/chat/completions.py:590, in Completions.create(self, messages, model, frequency_penalty, function_call, functions, logit_bias, logprobs, max_tokens, n, presence_penalty, response_format, seed, stop, stream, stream_options, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout)
558 @required_args(["messages", "model"], ["messages", "model", "stream"])
559 def create(
560 self,
(...)
588 timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
589 ) -> ChatCompletion | Stream[ChatCompletionChunk]:
--> 590 return self._post(
591 "/chat/completions",
592 body=maybe_transform(
593 {
594 "messages": messages,
595 "model": model,
596 "frequency_penalty": frequency_penalty,
597 "function_call": function_call,
598 "functions": functions,
599 "logit_bias": logit_bias,
600 "logprobs": logprobs,
601 "max_tokens": max_tokens,
602 "n": n,
603 "presence_penalty": presence_penalty,
604 "response_format": response_format,
605 "seed": seed,
606 "stop": stop,
607 "stream": stream,
608 "stream_options": stream_options,
609 "temperature": temperature,
610 "tool_choice": tool_choice,
611 "tools": tools,
612 "top_logprobs": top_logprobs,
613 "top_p": top_p,
614 "user": user,
615 },
616 completion_create_params.CompletionCreateParams,
617 ),
618 options=make_request_options(
619 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
620 ),
621 cast_to=ChatCompletion,
622 stream=stream or False,
623 stream_cls=Stream[ChatCompletionChunk],
624 )

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/openai/_base_client.py:1240, in SyncAPIClient.post(self, path, cast_to, body, options, files, stream, stream_cls)
1226 def post(
1227 self,
1228 path: str,
(...)
1235 stream_cls: type[_StreamT] | None = None,
1236 ) -> ResponseT | _StreamT:
1237 opts = FinalRequestOptions.construct(
1238 method="post", url=path, json_data=body, files=to_httpx_files(files), **options
1239 )
-> 1240 return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/openai/_base_client.py:921, in SyncAPIClient.request(self, cast_to, options, remaining_retries, stream, stream_cls)
912 def request(
913 self,
914 cast_to: Type[ResponseT],
(...)
919 stream_cls: type[_StreamT] | None = None,
920 ) -> ResponseT | _StreamT:
--> 921 return self._request(
922 cast_to=cast_to,
923 options=options,
924 stream=stream,
925 stream_cls=stream_cls,
926 remaining_retries=remaining_retries,
927 )

File ~/anaconda3/envs/torch-3.10/lib/python3.10/site-packages/openai/_base_client.py:1020, in SyncAPIClient._request(self, cast_to, options, remaining_retries, stream, stream_cls)
1017 err.response.read()
1019 log.debug("Re-raising status error")
-> 1020 raise self._make_status_error_from_response(err.response) from None
1022 return self._process_response(
1023 cast_to=cast_to,
1024 options=options,
(...)
1027 stream_cls=stream_cls,
1028 )

BadRequestError: Error code: 400 - {'error': {'message': "Invalid 'messages[1].name': string does not match pattern. Expected a string that matches the pattern '^[a-zA-Z0-9_-]+$'.", 'type': 'invalid_request_error', 'param': 'messages[1].name', 'code': 'invalid_value'}}

Additional Information

No response

[JinSeoung-Oh]

Oh.. It was my mistake
In the agen_list, I enter the space in one of the agent name.
I'm sorry.
Maybe when I entered the code manually, I just enter space on it.