mberman84/gist:ea207e7d9e5f8c5f6a3252883ef16df3

## 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)
	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)