Cannot run autobuilder

[OumarDicko]

when i try to run autobuilder i have this error, i'm not a pro i just copy past autogencode : Traceback (most recent call last): File "C:\Users\hp\Desktop\CODE\autogen\autogen\agentbuilder.py", line 11, in agent_list, agent_configs = builder.build(building_task, default_llm_config) File "C:\Users\hp\Desktop\CODE\autogen\autogen\autogen\agentchat\contrib\agent_builder.py", line 286, in build build_manager.create( File "C:\Users\hp\Desktop\CODE\autogen\autogen\autogen\oai\client.py", line 250, in create response = self._completions_create(client, params) File "C:\Users\hp\Desktop\CODE\autogen\autogen\autogen\oai\client.py", line 336, in _completions_create response = completions.create(**params) File "C:\Users\hp\Desktop\CODE\autogen.venv\lib\site-packages\openai_utils_utils.py", line 298, in wrapper raise TypeError(msg) TypeError: Missing required arguments; Expected either ('messages' and 'model') or ('messages', 'model' and 'stream') arguments to be given

Here is my code 👍 `import autogen from autogen.agentchat.contrib.agent_builder import AgentBuilder

config_path = "autogen\OAI_CONFIG_LIST.json" default_llm_config = { 'temperature': 0 } builder = AgentBuilder(config_path=config_path, builder_model='gpt-3.5-turbo', agent_model='gpt-3.5-turbo') building_task = "Find Paper Text To Speech and summirize it and make a graph to score it base on criteria you will choose"

agent_list, agent_configs = builder.build(building_task, default_llm_config)

def start_task(execution_task: str, agent_list: list, llm_config: dict): config_list = autogen.config_list_from_json(config_path, filter_dict={"model": ["gpt-4-1106-preview"]})

group_chat = autogen.GroupChat(agents=agent_list, messages=[], max_round=12)
manager = autogen.GroupChatManager(
    groupchat=group_chat, llm_config={"config_list": config_list, **llm_config}
)
agent_list[0].initiate_chat(manager, message=execution_task)

start_task( execution_task="Find a recent paper about Text To Speech on arxiv and find its potential applications in software.", agent_list=agent_list, llm_config=default_llm_config ) `

[rickyloynd-microsoft]

@LinxinS97 fyi

[LinxinS97]

You need to provide a correct path or environment for OAI_CONFIG_LIST with the following information:

// Please modify the content, remove these two lines of comment and rename this file to OAI_CONFIG_LIST to run the sample code.
// if using pyautogen v0.1.x with Azure OpenAI, please replace "base_url" with "api_base" (line 11 and line 18 below). Use "pip list" to check version of pyautogen installed.
[
    {
        "model": "gpt-4",
        "api_key": "<your OpenAI API key here>"
    },
    {
        "model": "<your Azure OpenAI deployment name>",
        "api_key": "<your Azure OpenAI API key here>",
        "base_url": "<your Azure OpenAI API base here>",
        "api_type": "azure",
        "api_version": "2023-07-01-preview"
    },
    {
        "model": "<your Azure OpenAI deployment name>",
        "api_key": "<your Azure OpenAI API key here>",
        "base_url": "<your Azure OpenAI API base here>",
        "api_type": "azure",
        "api_version": "2023-07-01-preview"
    }
    ...
]

Also, I highly recommend you use gpt-4 as the builder_model.

[lianghsun]

The problem you're encountering stems from a discrepancy in your configurations: you're using gpt-4-1106-preview in your config_list, but have gpt-3.5-turbo set in AgentBuild. Aligning both to the same model configuration should resolve the issue.

[thinkall]

I think we should support pass in a config_list to the AgentBuild. In some cases, LLM settings can only be set with environment variables rather than a config file.

[LinxinS97]

I think we should support pass in a config_list to the AgentBuild. In some cases, LLM settings can only be set with environment variables rather than a config file.

AgentBuilder supports environment with a JSON format string, you can check autogen.config_list_from_json for more details. I think the name of the argument config_path is not good enough but I'm not sure if it should be changed.

[thinkall]

I think we should support pass in a config_list to the AgentBuild. In some cases, LLM settings can only be set with environment variables rather than a config file.

AgentBuilder supports environment with a JSON format string, you can check autogen.config_list_from_json for more details. I think the name of the argument config_path is not good enough but I'm not sure if it should be changed.

Thanks @LinxinS97 , a better way could be to accept llm_config in AgentBuilder, like all the other agents did. Then users can load their config_list with any method they want: config_list_from_json, config_list_from_dotenv, etc.

[raphaeltm]

I think we should support pass in a config_list to the AgentBuild. In some cases, LLM settings can only be set with environment variables rather than a config file.

AgentBuilder supports environment with a JSON format string, you can check autogen.config_list_from_json for more details. I think the name of the argument config_path is not good enough but I'm not sure if it should be changed.

Thanks @LinxinS97 , a better way could be to accept llm_config in AgentBuilder, like all the other agents did. Then users can load their config_list with any method they want: config_list_from_json, config_list_from_dotenv, etc.

Agreed. I've only started checking out AutoGen in the past few days, but this way of loading config seems out of sync with everything else I've come across so far.