mberman84/gist:c95d69263d9c2ceb7d56cf336f13ae02

tjthejuggler · 2023-11-06T08:33:31Z

I solved the issue DEFAULT like that :

interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
persistence_manager = InMemoryStateManager()
persona = "I am an engineer at Att3st tech company."
human = "I am a team manager at Att3st tech company."
agent_config = llm_config
memgpt_agent = presets.use_preset(presets.DEFAULT_PRESET, model='gpt-4', persona=persona, human=human, interface=interface, persistence_manager=persistence_manager,agent_config=agent_config)

But Still blocked on the :TypeError: cannot unpack non-iterable coroutine object error

Does anyone have a solution to this?

zorgy28 · 2023-11-06T10:14:25Z

Yes, modify as mentionned here:
Resolution
I ultimately resolved the issue by modifying the file memgpt/autogen/memgpt_agent.py within my local environment. Specifically, I altered the _generate_reply_for_user_message() function to be asynchronous (async def _generate_reply_for_user_message()). Following this adjustment, the example code operated correctly.

tjthejuggler · 2023-11-06T12:42:17Z

Yes, modify as mentionned here: Resolution I ultimately resolved the issue by modifying the file memgpt/autogen/memgpt_agent.py within my local environment. Specifically, I altered the _generate_reply_for_user_message() function to be asynchronous (async def _generate_reply_for_user_message()). Following this adjustment, the example code operated correctly.

Thanks so much! This worked for me. You're a rock star!

Sichtermann · 2023-11-06T12:50:37Z

import os
import autogen
import memgpt.autogen.memgpt_agent as memgpt_autogen
import memgpt.autogen.interface as autogen_interface 
import memgpt.agent as agent
import memgpt.system as system
import memgpt.utils as utils
import memgpt.presets as presets
import memgpt.constants as constants
import memgpt.personas.personas as personas
import memgpt.humans.humans as humans
from memgpt.persistence_manager import InMemoryStateManager, InMemoryStateManagerWithPreloadedArchivalMemory, InMemoryStateManagerWithFaiss
import openai
openai.api_key = 'sk-asdasdasdasdasd'

config_list = [
    {
        'model': 'gpt-4'
    },
]

llm_config = {"config_list": config_list, "seed": 42}
user_proxy = memgpt_autogen.UserProxyAgent(
    name="User_proxy",
    system_message="A human admin.",
    code_execution_config={"last_n_messages": 2, "work_dir": "groupchat"},
)

interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
persistence_manager = InMemoryStateManager()
persona = "I\'m a 10x engineer at a FAANG tech company."
human = "I\'m a team manager at a FAANG tech company."
memgpt_agent = presets.use_preset(presets.SYNC_CHAT, None, 'gpt-4', persona, human, interface, persistence_manager)


# MemGPT coder
coder = memgpt_autogen.MemGPTAgent(
    name="MemGPT_coder",
    agent=memgpt_agent,
)

# non-MemGPT PM
pm = autogen.agentchat.AssistantAgent(
    name="Product_manager",
    system_message="Creative in software product ideas.",
    llm_config=llm_config,
)

groupchat = autogen.agentchat.GroupChat(agents=[user_proxy, coder, pm], messages=[], max_round=12)
manager = autogen.agentchat.GroupChatManager(groupchat=groupchat, llm_config=llm_config)

user_proxy.initiate_chat(manager, message="First send the message 'Let's go Mario!'")

Had to change some stuff.

Nocturna22 · 2023-11-14T08:17:27Z

Was there an update or something?

import os
import autogen
import memgpt.autogen.memgpt_agent as memgpt_autogen
import memgpt.autogen.interface as autogen_interface 
import memgpt.agent as agent
import memgpt.system as system
import memgpt.utils as utils
import memgpt.presets as presets
import memgpt.constants as constants
import memgpt.personas.personas as personas
import memgpt.humans.humans as humans
from memgpt.persistence_manager import InMemoryStateManager, InMemoryStateManagerWithPreloadedArchivalMemory, InMemoryStateManagerWithFaiss
import openai
openai.api_key = 'sk-asdasdasdasdasd'

config_list = [
    {
        'model': 'gpt-4'
    },
]

llm_config = {"config_list": config_list, "seed": 42}
user_proxy = memgpt_autogen.UserProxyAgent(
    name="User_proxy",
    system_message="A human admin.",
    code_execution_config={"last_n_messages": 2, "work_dir": "groupchat"},
)

interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
persistence_manager = InMemoryStateManager()
persona = "I\'m a 10x engineer at a FAANG tech company."
human = "I\'m a team manager at a FAANG tech company."
memgpt_agent = presets.use_preset(presets.SYNC_CHAT, None, 'gpt-4', persona, human, interface, persistence_manager)


# MemGPT coder
coder = memgpt_autogen.MemGPTAgent(
    name="MemGPT_coder",
    agent=memgpt_agent,
)

# non-MemGPT PM
pm = autogen.agentchat.AssistantAgent(
    name="Product_manager",
    system_message="Creative in software product ideas.",
    llm_config=llm_config,
)

groupchat = autogen.agentchat.GroupChat(agents=[user_proxy, coder, pm], messages=[], max_round=12)
manager = autogen.agentchat.GroupChatManager(groupchat=groupchat, llm_config=llm_config)

user_proxy.initiate_chat(manager, message="First send the message 'Let's go Mario!'")

Had to change some stuff.

Your code results to:


User_proxy (to chat_manager):

First send the message 'Let's go Mario!'

--------------------------------------------------------------------------------
Provide feedback to chat_manager. Press enter to skip and use auto-reply, or type 'exit' to end the conversation: Hello how are you?
User_proxy (to chat_manager):

Hello how are you?

--------------------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/humanity/PycharmProjects/Luna_Stream/main.py", line 52, in <module>
    user_proxy.initiate_chat(manager, message="First send the message 'Let's go Mario!'")
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/autogen/agentchat/conversable_agent.py", line 531, in initiate_chat
    self.send(self.generate_init_message(**context), recipient, silent=silent)
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/autogen/agentchat/conversable_agent.py", line 334, in send
    recipient.receive(message, self, request_reply, silent)
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/autogen/agentchat/conversable_agent.py", line 462, in receive
    reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/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 "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/autogen/agentchat/groupchat.py", line 164, in run_chat
    reply = speaker.generate_reply(sender=self)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/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 "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/memgpt/autogen/memgpt_agent.py", line 235, in _generate_reply_for_user_message
    ) = self.agent.step(user_message, first_message=False, skip_verify=self.skip_verify)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/memgpt/agent.py", line 657, in step
    raise e
  File "/home/humanity/PycharmProjects/Luna_Stream/venv/lib/python3.11/site-packages/memgpt/agent.py", line 587, in step
    context_window=self.config.context_window,
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'NoneType' object has no attribute 'context_window'

MarcRene · 2023-11-14T16:50:01Z

import os
import autogen
import memgpt.autogen.memgpt_agent as memgpt_autogen
import memgpt.autogen.interface as autogen_interface
import memgpt.agent as agent
import memgpt.system as system
import memgpt.utils as utils
import memgpt.presets as presets
import memgpt.constants as constants
import memgpt.personas.personas as personas
import memgpt.humans.humans as humans
from memgpt.persistence_manager import InMemoryStateManager, InMemoryStateManagerWithPreloadedArchivalMemory, InMemoryStateManagerWithFaiss
import openai
openai.api_key = 'sk-asdasdasdasdasd'

config_list = [
{
'model': 'gpt-4'
},
]

llm_config = {"config_list": config_list, "seed": 42}
user_proxy = memgpt_autogen.UserProxyAgent(
name="User_proxy",
system_message="A human admin.",
code_execution_config={"last_n_messages": 2, "work_dir": "groupchat"},
)

interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
persistence_manager = InMemoryStateManager()
persona = "I'm a 10x engineer at a FAANG tech company."
human = "I'm a team manager at a FAANG tech company."
memgpt_agent = presets.use_preset(presets.SYNC_CHAT, None, 'gpt-4', persona, human, interface, persistence_manager)

MemGPT coder

coder = memgpt_autogen.MemGPTAgent(
name="MemGPT_coder",
agent=memgpt_agent,
)

non-MemGPT PM

pm = autogen.agentchat.AssistantAgent(
name="Product_manager",
system_message="Creative in software product ideas.",
llm_config=llm_config,
)

groupchat = autogen.agentchat.GroupChat(agents=[user_proxy, coder, pm], messages=[], max_round=12)
manager = autogen.agentchat.GroupChatManager(groupchat=groupchat, llm_config=llm_config)

user_proxy.initiate_chat(manager, message="First send the message 'Let's go Mario!'")

This worked for me perferctly...thanks for this.

KenichiQaz · 2023-11-16T03:45:12Z

running this code I am getting this error.

This seems to be the problem but I can't seem to find the solution this.
import memgpt.presets as presets
...
AttributeError: module 'memgpt.presets' has no attribute 'use_preset'

fixed this problem with this

import memgpt.presets.presets as presets

hijkzzz · 2023-11-17T08:18:34Z

I met the problem AttributeError: 'dict' object has no attribute 'model_endpoint_type'

slaughters85j · 2023-11-20T16:57:01Z

I found success after mixing a few of the suggestions above.

per Matt's video, I created a conda environment using 3.11.3
I used the absolute path to the conda python env via 'which python' to install only pymemgpt and pyautogen
Modified the import of presets to

import memgpt.presets.presets as presets

Modified the code block in app.py to

interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
persistence_manager = InMemoryStateManager()
persona = "I am an engineer at Att3st tech company."
human = "I am a team manager at Att3st tech company."
agent_config = llm_config
memgpt_agent = presets.use_preset(presets.DEFAULT_PRESET, model='gpt-4', persona=persona, human=human, interface=interface, persistence_manager=persistence_manager,agent_config=agent_config)

Modified the MemGPTAgent (memgpt_agent.py) file start at line 229 to:

    async def _generate_reply_for_user_message(
        self,
        messages: Optional[List[Dict]] = None,
        sender: Optional[Agent] = None,
        config: Optional[Any] = None,
    ) -> Tuple[bool, Union[str, Dict, None]]:
        self.agent.interface.reset_message_list()

        new_messages = self.find_new_messages(messages)
        if len(new_messages) > 1:
            if self.concat_other_agent_messages:
                # Combine all the other messages into one message
                user_message = "\n".join([self.format_other_agent_message(m) for m in new_messages])
            else:
                # Extend the MemGPT message list with multiple 'user' messages, then push the last one with agent.step()
                self.agent.messages.extend(new_messages[:-1])
                user_message = new_messages[-1]
        elif len(new_messages) == 1:
            user_message = new_messages[0]
        else:
            return True, self._default_auto_reply

        # Package the user message
        user_message = system.package_user_message(user_message)

        # Send a single message into MemGPT
        while True:
            (
                new_messages,
                heartbeat_request,
                function_failed,
                token_warning,
            ) = await self.agent.step(user_message, first_message=False, skip_verify=self.skip_verify)

It's now working.

Geetha-muffin · 2023-11-24T17:08:05Z

I found success after mixing a few of the suggestions above.

per Matt's video, I created a conda environment using 3.11.3
I used the absolute path to the conda python env via 'which python' to install only pymemgpt and pyautogen
Modified the import of presets to

import memgpt.presets.presets as presets

Modified the code block in app.py to

interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
persistence_manager = InMemoryStateManager()
persona = "I am an engineer at Att3st tech company."
human = "I am a team manager at Att3st tech company."
agent_config = llm_config
memgpt_agent = presets.use_preset(presets.DEFAULT_PRESET, model='gpt-4', persona=persona, human=human, interface=interface, persistence_manager=persistence_manager,agent_config=agent_config)

Modified the MemGPTAgent (memgpt_agent.py) file start at line 229 to:

    async def _generate_reply_for_user_message(
        self,
        messages: Optional[List[Dict]] = None,
        sender: Optional[Agent] = None,
        config: Optional[Any] = None,
    ) -> Tuple[bool, Union[str, Dict, None]]:
        self.agent.interface.reset_message_list()

        new_messages = self.find_new_messages(messages)
        if len(new_messages) > 1:
            if self.concat_other_agent_messages:
                # Combine all the other messages into one message
                user_message = "\n".join([self.format_other_agent_message(m) for m in new_messages])
            else:
                # Extend the MemGPT message list with multiple 'user' messages, then push the last one with agent.step()
                self.agent.messages.extend(new_messages[:-1])
                user_message = new_messages[-1]
        elif len(new_messages) == 1:
            user_message = new_messages[0]
        else:
            return True, self._default_auto_reply

        # Package the user message
        user_message = system.package_user_message(user_message)

        # Send a single message into MemGPT
        while True:
            (
                new_messages,
                heartbeat_request,
                function_failed,
                token_warning,
            ) = await self.agent.step(user_message, first_message=False, skip_verify=self.skip_verify)

It's now working.

@slaughters85j Could you please share the complete code with requirements file ?

Mugunthapranav · 2023-11-29T03:09:56Z

User_proxy (to chat_manager):

First send the message 'Let's go Mario!'

Traceback (most recent call last):
File "C:\Users\Muguntha Pranav M\PycharmProjects\Auto_mem\main.py", line 51, in
user_proxy.initiate_chat(manager, message="First send the message 'Let's go Mario!'")
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\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:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\autogen\agentchat\conversable_agent.py", line 334, in send
recipient.receive(message, self, request_reply, silent)
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\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:\Users\Muguntha Pranav M.conda\envs\Auto_mem\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:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\autogen\agentchat\groupchat.py", line 164, in run_chat
reply = speaker.generate_reply(sender=self)
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\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:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\memgpt\autogen\memgpt_agent.py", line 267, in _generate_reply_for_user_message
) = self.agent.step(user_message, first_message=False, skip_verify=self.skip_verify)
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\memgpt\agent.py", line 655, in step
raise e
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\memgpt\agent.py", line 575, in step
response = self.get_ai_reply(
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\memgpt\agent.py", line 780, in get_ai_reply
raise e
File "C:\Users\Muguntha Pranav M.conda\envs\Auto_mem\lib\site-packages\memgpt\agent.py", line 763, in get_ai_reply
context_window=self.context_window,
AttributeError: 'Agent' object has no attribute 'context_window'

How to solve this error?

salmercker · 2023-12-02T01:05:31Z

ok im on windows and no matter how i try to install this using pymemgpt pyautogen or memgpt autogen it doesnt get rid if the lines saying they aint installed

eldados · 2023-12-02T01:21:52Z

ok im on windows and no matter how i try to install this using pymemgpt pyautogen or memgpt autogen it doesnt get rid if the lines saying they aint installed

Same here.
On a Mac, Conda environment, installed everything but still get a squiggly line under:
import memgpt.personas.personas as personas
import memgpt.humans.humans as humans

owgit · 2023-12-03T10:03:14Z

ok im on windows and no matter how i try to install this using pymemgpt pyautogen or memgpt autogen it doesnt get rid if the lines saying they aint installed

Same here. On a Mac, Conda environment, installed everything but still get a squiggly line under: import memgpt.personas.personas as personas import memgpt.humans.humans as humans

I got same error

rlam3 · 2023-12-04T22:26:08Z

@mberman84
hey mberman84 do you have a new gist that you could share or a repo with a fix?

marfal · 2023-12-06T11:40:19Z

Also problems with:
import memgpt.personas.personas as personas
import memgpt.humans.humans as humans

imfurkaann · 2023-12-07T06:06:11Z

ModuleNotFoundError: No module named 'memgpt.personas.personas'

how do i solve it

jakeparkernet · 2023-12-10T17:16:24Z

Also problems with: import memgpt.personas.personas as personas import memgpt.humans.humans as humans

Also had this, fixed it. If you slow down the video to 0.25x speed, you can see he installs MemGPT 0.1.3 and AutoGen 0.1.13 at the 2:24 timestamp.
I'm running in a virtual environment on Windows. My commands:

pip uninstall pyautogen
pip uninstall pymemgpt
pip install pyautogen==0.1.13
pip install pymemgpt==0.1.3

Successfully ran original gist.

These things are changing and evolving so quickly, it might be a good idea to mention or post versions in future tutorials. Grateful for all the videos just the same.

EDIT: When I back to play the video, it was still 0.25x speed, highly recommend.

Nocturna22 · 2023-12-11T09:17:47Z

Also problems with: import memgpt.personas.personas as personas import memgpt.humans.humans as humans

Also had this, fixed it. If you slow down the video to 0.25x speed, you can see he installs MemGPT 0.1.3 and AutoGen 0.1.13 at the 2:24 timestamp. I'm running in a virtual environment on Windows. My commands:

pip uninstall pyautogen pip uninstall pymemgpt pip install pyautogen==0.1.13 pip install pymemgpt==0.1.3

Successfully ran original gist.

These things are changing and evolving so quickly, it might be a good idea to mention or post versions in future tutorials. Grateful for all the videos just the same.

EDIT: When I back to play the video, it was still 0.25x speed, highly recommend.

Omg this works, thank you !!

Shuaib11-Github · 2024-06-05T15:02:00Z

I am getting the output till here and there is no proceeding of the agent ahead.

User_proxy (to chat_manager):

First send the message 'Let's go Mario!'

MemGPT_coder (to chat_manager):

💭 Executing the requested action, sending the message 'Let's go Mario!' as instructed by the user.
🤖 Let's go Mario!
⚡🟢 [function] Success: None

Provide feedback to chat_manager. Press enter to skip and use auto-reply, or type 'exit' to end the conversation:

Ankit1478 · 2024-08-07T01:32:49Z

That's Works Thanks

JBoyd333 · 2024-10-23T04:17:09Z

Can anyone provide complete code, with requirements.txt file, to run this in AutoGen 2 (0.2)?
thanks!

mberman84/gist:c95d69263d9c2ceb7d56cf336f13ae02

tjthejuggler commented Nov 6, 2023

zorgy28 commented Nov 6, 2023

tjthejuggler commented Nov 6, 2023

Sichtermann commented Nov 6, 2023

Nocturna22 commented Nov 14, 2023

MarcRene commented Nov 14, 2023

KenichiQaz commented Nov 16, 2023 •

edited

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hijkzzz commented Nov 17, 2023

slaughters85j commented Nov 20, 2023 •

edited

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Geetha-muffin commented Nov 24, 2023 •

edited

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Mugunthapranav commented Nov 29, 2023

salmercker commented Dec 2, 2023

eldados commented Dec 2, 2023

owgit commented Dec 3, 2023

rlam3 commented Dec 4, 2023

marfal commented Dec 6, 2023

imfurkaann commented Dec 7, 2023

jakeparkernet commented Dec 10, 2023 •

edited

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Nocturna22 commented Dec 11, 2023

Shuaib11-Github commented Jun 5, 2024

Ankit1478 commented Aug 7, 2024

JBoyd333 commented Oct 23, 2024

	import os
	import autogen
	import memgpt.autogen.memgpt_agent as memgpt_autogen
	import memgpt.autogen.interface as autogen_interface
	import memgpt.agent as agent
	import memgpt.system as system
	import memgpt.utils as utils
	import memgpt.presets as presets
	import memgpt.constants as constants
	import memgpt.personas.personas as personas
	import memgpt.humans.humans as humans
	from memgpt.persistence_manager import InMemoryStateManager, InMemoryStateManagerWithPreloadedArchivalMemory, InMemoryStateManagerWithFaiss
	import openai
	openai.api_key = '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'

	config_list = [
	{
	'model': 'gpt-4'
	},
	]

	llm_config = {"config_list": config_list, "seed": 42}
	user_proxy = autogen.UserProxyAgent(
	name="User_proxy",
	system_message="A human admin.",
	code_execution_config={"last_n_messages": 2, "work_dir": "groupchat"},
	)

	interface = autogen_interface.AutoGenInterface() # how MemGPT talks to AutoGen
	persistence_manager = InMemoryStateManager()
	persona = "I\'m a 10x engineer at a FAANG tech company."
	human = "I\'m a team manager at a FAANG tech company."
	memgpt_agent = presets.use_preset(presets.DEFAULT, 'gpt-4', persona, human, interface, persistence_manager)

	# MemGPT coder
	coder = memgpt_autogen.MemGPTAgent(
	name="MemGPT_coder",
	agent=memgpt_agent,
	)

	# non-MemGPT PM
	pm = autogen.AssistantAgent(
	name="Product_manager",
	system_message="Creative in software product ideas.",
	llm_config=llm_config,
	)

	groupchat = autogen.GroupChat(agents=[user_proxy, coder, pm], messages=[], max_round=12)
	manager = autogen.GroupChatManager(groupchat=groupchat, llm_config=llm_config)

	user_proxy.initiate_chat(manager, message="First send the message 'Let's go Mario!'")

mberman84/gist:c95d69263d9c2ceb7d56cf336f13ae02

tjthejuggler commented Nov 6, 2023

zorgy28 commented Nov 6, 2023

tjthejuggler commented Nov 6, 2023

Sichtermann commented Nov 6, 2023

Nocturna22 commented Nov 14, 2023

MarcRene commented Nov 14, 2023

MemGPT coder

non-MemGPT PM

KenichiQaz commented Nov 16, 2023 • edited Loading

hijkzzz commented Nov 17, 2023

slaughters85j commented Nov 20, 2023 • edited Loading

Geetha-muffin commented Nov 24, 2023 • edited Loading

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