I installed AutoGen from source and attempted to run the optiguide notebook. I have also tried installing autogen from source for the last version that the optiguide example was updated. Neither run.
Steps to reproduce
install AutoGen 0.2.2 from source and attempt to run the optiguide example notebook.
Model Used
Defaults for the notebook
Expected Behavior
I'm not sure as the notebook doesn't actually run.
Screenshots and logs
{
"name": "AttributeError",
"message": "'AssistantAgent' object has no attribute 'source_code'",
"stack": "---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[8], line 1
----> 1 chat_res = user.initiate_chat(
2 optiguide_commander, message=\"What if we prohibit shipping from supplier 1 to roastery 2?\"
3 )
File ~/autogen/autogen/agentchat/conversable_agent.py:987, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs)
985 else:
986 msg2send = self.generate_init_message(message, **kwargs)
--> 987 self.send(msg2send, recipient, silent=silent)
988 summary = self._summarize_chat(
989 summary_method,
990 summary_args,
991 recipient,
992 cache=cache,
993 )
994 for agent in [self, recipient]:
File ~/autogen/autogen/agentchat/conversable_agent.py:628, in ConversableAgent.send(self, message, recipient, request_reply, silent)
626 valid = self._append_oai_message(message, \"assistant\", recipient)
627 if valid:
--> 628 recipient.receive(message, self, request_reply, silent)
629 else:
630 raise ValueError(
631 \"Message can't be converted into a valid ChatCompletion message. Either content or function_call must be provided.\"
632 )
File ~/autogen/autogen/agentchat/conversable_agent.py:788, in ConversableAgent.receive(self, message, sender, request_reply, silent)
786 if request_reply is False or request_reply is None and self.reply_at_receive[sender] is False:
787 return
--> 788 reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
789 if reply is not None:
790 self.send(reply, sender, silent=silent)
File ~/autogen/autogen/agentchat/conversable_agent.py:1909, in ConversableAgent.generate_reply(self, messages, sender, **kwargs)
1907 continue
1908 if self._match_trigger(reply_func_tuple[\"trigger\"], sender):
-> 1909 final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple[\"config\"])
1910 if final:
1911 return reply
File ~/autogen/autogen/agentchat/conversable_agent.py:385, in ConversableAgent._summary_from_nested_chats(chat_queue, recipient, messages, sender, config)
383 if not chat_to_run:
384 return True, None
--> 385 res = initiate_chats(chat_to_run)
386 return True, res[-1].summary
File ~/autogen/autogen/agentchat/chat.py:188, in initiate_chats(chat_queue)
186 __post_carryover_processing(chat_info)
187 sender = chat_info[\"sender\"]
--> 188 chat_res = sender.initiate_chat(**chat_info)
189 finished_chats.append(chat_res)
190 return finished_chats
File ~/autogen/autogen/agentchat/conversable_agent.py:987, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs)
985 else:
986 msg2send = self.generate_init_message(message, **kwargs)
--> 987 self.send(msg2send, recipient, silent=silent)
988 summary = self._summarize_chat(
989 summary_method,
990 summary_args,
991 recipient,
992 cache=cache,
993 )
994 for agent in [self, recipient]:
File ~/autogen/autogen/agentchat/conversable_agent.py:628, in ConversableAgent.send(self, message, recipient, request_reply, silent)
626 valid = self._append_oai_message(message, \"assistant\", recipient)
627 if valid:
--> 628 recipient.receive(message, self, request_reply, silent)
629 else:
630 raise ValueError(
631 \"Message can't be converted into a valid ChatCompletion message. Either content or function_call must be provided.\"
632 )
File ~/autogen/autogen/agentchat/conversable_agent.py:790, in ConversableAgent.receive(self, message, sender, request_reply, silent)
788 reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
789 if reply is not None:
--> 790 self.send(reply, sender, silent=silent)
File ~/autogen/autogen/agentchat/conversable_agent.py:628, in ConversableAgent.send(self, message, recipient, request_reply, silent)
626 valid = self._append_oai_message(message, \"assistant\", recipient)
627 if valid:
--> 628 recipient.receive(message, self, request_reply, silent)
629 else:
630 raise ValueError(
631 \"Message can't be converted into a valid ChatCompletion message. Either content or function_call must be provided.\"
632 )
File ~/autogen/autogen/agentchat/conversable_agent.py:788, in ConversableAgent.receive(self, message, sender, request_reply, silent)
786 if request_reply is False or request_reply is None and self.reply_at_receive[sender] is False:
787 return
--> 788 reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
789 if reply is not None:
790 self.send(reply, sender, silent=silent)
File ~/autogen/autogen/agentchat/conversable_agent.py:1909, in ConversableAgent.generate_reply(self, messages, sender, **kwargs)
1907 continue
1908 if self._match_trigger(reply_func_tuple[\"trigger\"], sender):
-> 1909 final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple[\"config\"])
1910 if final:
1911 return reply
File ~/autogen/autogen/agentchat/conversable_agent.py:385, in ConversableAgent._summary_from_nested_chats(chat_queue, recipient, messages, sender, config)
383 if not chat_to_run:
384 return True, None
--> 385 res = initiate_chats(chat_to_run)
386 return True, res[-1].summary
File ~/autogen/autogen/agentchat/chat.py:188, in initiate_chats(chat_queue)
186 __post_carryover_processing(chat_info)
187 sender = chat_info[\"sender\"]
--> 188 chat_res = sender.initiate_chat(**chat_info)
189 finished_chats.append(chat_res)
190 return finished_chats
File ~/autogen/autogen/agentchat/conversable_agent.py:988, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs)
986 msg2send = self.generate_init_message(message, **kwargs)
987 self.send(msg2send, recipient, silent=silent)
--> 988 summary = self._summarize_chat(
989 summary_method,
990 summary_args,
991 recipient,
992 cache=cache,
993 )
994 for agent in [self, recipient]:
995 agent.client_cache = agent.previous_cache
File ~/autogen/autogen/agentchat/conversable_agent.py:1109, in ConversableAgent._summarize_chat(self, summary_method, summary_args, recipient, cache)
1106 summary_method = self._last_msg_as_summary
1108 if isinstance(summary_method, Callable):
-> 1109 summary = summary_method(self, recipient, summary_args)
1110 else:
1111 raise ValueError(
1112 \"If not None, the summary_method must be a string from [`reflection_with_llm`, `last_msg`] or a callable.\"
1113 )
Cell In[7], line 55, in safeguard_summary(recipient, sender, *args)
51 safe_msg = sender.last_message(recipient)[\"content\"].replace(\"TERMINATE\", \"\")
53 if safe_msg.find(\"DANGER\") < 0:
54 # Step 4 and 5: Run the code and obtain the results
---> 55 src_code = insert_code(sender.source_code, code)
56 execution_rst = run_with_exec(src_code)
57 print(colored(str(execution_rst), \"yellow\"))
AttributeError: 'AssistantAgent' object has no attribute 'source_code'"
}
Describe the bug
I installed AutoGen from source and attempted to run the optiguide notebook. I have also tried installing autogen from source for the last version that the optiguide example was updated. Neither run.
Steps to reproduce
install AutoGen 0.2.2 from source and attempt to run the optiguide example notebook.
Model Used
Defaults for the notebook
Expected Behavior
I'm not sure as the notebook doesn't actually run.
Screenshots and logs
Additional Information
No response