[frisco]

After running into these issues a few others and I wrote a typescript agent framework that I think significantly improves on LangChain in many ways: https://github.com/sciencecorp/buildabot/

It’s still very early days for software composing AI models and we almost certainly don’t have all the right metaphors yet. And I think there is a lot to be said for strong typing and simple, robust code!

[fattire]

I've played with langchain now for a couple weeks (with some of the llama-derivative local models and Oobadooba's native & openai apis + TextGen https://python.langchain.com/docs/modules/model_io/models/ll... ) and find it not-too-insanely-hard for an idiot like myself to figure out, though I'm just experimenting at this point with different models, esp. using tools, etc. I've found that some of the recommended prompts in the demos that, while perhaps working well with chatgpt/gpt4, need a lot of tweaking to work with with say WizardLM. But then I can get them working, so that's kinda neat.

I also played with huggingface's transformer agent (https://huggingface.co/docs/transformers/transformers_agents ) and thought it was a lot easier to useas far as the tools go, though is perhaps less capable for other things. I may go back to playing with that actually.