Keep looping even if "TERMINATE" is encountered.

[AlbelTec]

Hi,
I'm new to autogen and I wonder how I can make proxy agent more deterministic and avoid looping on and on. here is my config :

user_proxy = autogen.UserProxyAgent(
    name="user_proxy",
    human_input_mode="NEVER",
    max_consecutive_auto_reply=10,
    is_termination_msg=lambda x: x.get("content", "") and x.get("content", "").rstrip().endswith("TERMINATE"),
    default_auto_reply="default_auto_reply",
    code_execution_config={"work_dir": "web"},
    llm_config=llm_config,
    system_message="""Reply TERMINATE if the task has been solved at full satisfaction.
Otherwise, reply CONTINUE, or the reason why the task is not solved yet."""
)

it keeps going on and on until it reach the max_consecutive_auto_reply.

here is the output :

user_proxy (to SOLVER):

There are 10 people in a room. Each person shakes hands with every other person exactly once. How many handshakes are there in total?


--------------------------------------------------------------------------------
SOLVER (to user_proxy):

To solve this problem, we can use the concept of combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

--------------------------------------------------------------------------------
user_proxy (to SOLVER):


TERMINATE

--------------------------------------------------------------------------------
SOLVER (to user_proxy):


I hope that helps! Let me know if you have any other questions.

--------------------------------------------------------------------------------
user_proxy (to SOLVER):


Continue

--------------------------------------------------------------------------------
SOLVER (to user_proxy):


Another way to solve this problem is by using the formula for combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

--------------------------------------------------------------------------------
user_proxy (to SOLVER):


TERMINATE

--------------------------------------------------------------------------------
SOLVER (to user_proxy):


I hope that helps! Let me know if you have any other questions.

--------------------------------------------------------------------------------
user_proxy (to SOLVER):


Continue
Another way to solve this problem is by using the formula for combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

TERMINATE
I hope that helps! Let me know if

--------------------------------------------------------------------------------
SOLVER (to user_proxy):

you have any other questions.

--------------------------------------------------------------------------------
user_proxy (to SOLVER):


Continue
Another way to solve this problem is by using the formula for combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

TERMINATE
I hope that helps! Let me know if

--------------------------------------------------------------------------------
SOLVER (to user_proxy):

you have any other questions.
Continue
Another way to solve this problem is by using the formula for combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

TERMINATE
I hope that

--------------------------------------------------------------------------------
user_proxy (to SOLVER):

helps! Let me know if you have any other questions.

--------------------------------------------------------------------------------
SOLVER (to user_proxy):

Continue
Another way to solve this problem is by using the formula for combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

TERMINATE
I hope that helps! Let me know if you

--------------------------------------------------------------------------------
user_proxy (to SOLVER):

have any other questions.Continue
Another way to solve this problem is by using the formula for combinations:

1. We have 10 people in the room.
2. Each handshake involves 2 people.
3. The number of ways to choose 2 people out of 10 is given by the combination formula C(n, k) = n! / (k!(n-k)!), where n is the total number of items and k is the number of items to be chosen.
4. Plugging in our values, we get C(10, 2) = 10! / (2!(10-2)!) = 10! / (2!8!) = (10*9)/(2*1) = 45.

Therefore, there are 45 handshakes in total.

TERMINATE
I hope that helps!

--------------------------------------------------------------------------------
Traceback (most recent call last):
  File "d:\GPT_Dirs\autogen\solver.py", line 42, in <module>
    user_proxy.initiate_chat(
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 531, in initiate_chat
    self.send(self.generate_init_message(**context), recipient, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 464, in receive
    self.send(reply, sender, silent=silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 462, in receive
    reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 781, in generate_reply
    final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple["config"])
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 606, in generate_oai_reply
    response = oai.ChatCompletion.create(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\oai\completion.py", line 803, in create
    response = cls.create(
               ^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\oai\completion.py", line 834, in create
    return cls._get_response(params, raise_on_ratelimit_or_timeout=raise_on_ratelimit_or_timeout)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\autogen\oai\completion.py", line 222, in _get_response
    response = openai_completion.create(**config)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\openai\api_resources\chat_completion.py", line 25, in create
    return super().create(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 155, in create
    response, _, api_key = requestor.request(
                           ^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\openai\api_requestor.py", line 299, in request
    resp, got_stream = self._interpret_response(result, stream)
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\openai\api_requestor.py", line 710, in _interpret_response
    self._interpret_response_line(
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\openai\api_requestor.py", line 775, in _interpret_response_line
    raise self.handle_error_response(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\ProgramData\Anaconda3\envs\autogen\Lib\site-packages\openai\api_requestor.py", line 428, in handle_error_response
    error_code=error_data.get("code"),
               ^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'get'

Any insights ?

[robzsaunders]

This is the same as problem #279

[gagb]

@AlbelTec based on the documentation, the semantic of the is_termination_msg is

is_termination_msg (function): a function that takes a message in the form of a dictionary
                and returns a boolean value indicating if this *received* message is a termination message.
                The dict can contain the following keys: "content", "role", "name", "function_call".

What is value of is_termination_msg for your SOLVER? :)

[AlbelTec]

@gagb Indeed my Solver didn't have a is_termination_msg. So I added it 👍 and it works as expected. I need to read documentation 😄