Using Ollama insted of ChatGPT

[Billy-Mitchell]

I came across your video 'Forget CrewAI & AutoGen, Build CUSTOM AI Agents!' and thought you made many good points, so I wanted to try the code myself. I don't have an OpenGPT account, so I wanted to try to adapt the code to use Ollama and llama3 instead. It all seemed quite manageable, but the problem I'm a bit stuck on / wondering how to get around or reimplement is the 'tool_calls' object that OpenGPT apparently has in its return JSON.

Do you have any suggestions or insights on how to best work around this? I tried following the 'solution' here (https://github.com/ollama/ollama-python/issues/39#issuecomment-1973335681), but I can't get it to include 'tool_calls'. Any ideas or suggestions?

[dustinwloring1988]

with the code base now it would not be as easy as changing a few line of code. Unless we wait for ollama to implement function calling as i do not believe they have yet. We could always try though prompt engineering but it would not be as robust.

[dustinwloring1988]

Here is how your curl command would have to look that you send:

curl http://localhost:11434/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
        "model": "llama3",
        "stream": false,
        "format": "json",

        "messages": [
            {
                "role": "system",
                "content": "You are a helpful assistant."
            },
            {
                "role": "user",
                "content": "Hello!"
            }
        ]
    }'

[Billy-Mitchell]

Hi and thank you for your response.

I am quite new to the AI/LLM world and there is a lot to learn, so I didn't fully realize that function calling was something primarily available in OpenAI and other paid services.

I see that it is something planned in LangChain, but as you say, it would probably involve more than just changing a few lines of code.

Thanks again for your response :-)