AutoGen + Ollama Instructions

gistfile1.txt

1. # create new .py file with code found below
2. # install ollama
3. # install model you want “ollama run mistral”
4. conda create -n autogen python=3.11
5. conda activate autogen
6. which python
7. python -m pip install pyautogen
7. ollama run mistral
8. ollama run codellama
9. # open new terminal
10. conda activate autogen
11. python -m pip install litellm
12. litellm --model ollama/mistral
13. # open new terminal
14. conda activate autogen
15. litellm --model ollama/codellama

### Code used:
import autogen

config_list_mistral = [
    {
        'base_url': "http://0.0.0.0:8000",
        'api_key': "NULL"
    }
]

config_list_codellama = [
    {
        'base_url': "http://0.0.0.0:25257",
        'api_key': "NULL"
    }
]

llm_config_mistral={
    "config_list": config_list_mistral,
}

llm_config_codellama={
    "config_list": config_list_codellama,
}

coder = autogen.AssistantAgent(
    name="Coder",
    llm_config=llm_config_codellama
)

user_proxy = autogen.UserProxyAgent(
    name="user_proxy",
    human_input_mode="NEVER",
    max_consecutive_auto_reply=10,
    is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE"),
    code_execution_config={"work_dir": "web"},
    llm_config=llm_config_mistral,
    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."""
)

task="""
Write a python script to output numbers 1 to 100 and then the user_proxy agent should run the script
"""

user_proxy.initiate_chat(coder, message=task)

`import autogen

config_list = [
{
'base_url': "http://0.0.0.0:4000",
'api_key' : "NULL"
}
]

llm_config = {
'config_list': config_list,
}

assistant = autogen.AssistantAgent(
name = "Assistant",
llm_config = llm_config
)

user_proxy = autogen.UserProxyAgent(
name="user_proxy",
human_input_mode="TERMINATE",
max_consecutive_auto_reply=10,
is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE"),
code_execution_config={"work_dir": "web", "use_docker" : False},
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."""
)

task="""
Tell me a joke
"""

user_proxy.initiate_chat(assistant, message=task)`

I have this as a one assistant and proxy code and I get this error if anyone could help
TypeError: Missing required arguments; Expected either ('messages' and 'model') or ('messages', 'model' and 'stream') arguments to be given