Same. I feel like once you strip away the abstractions that you probably aren't going to use long-term, you're left with something that competes with python f-s

Same. I feel like once you strip away the abstractions that you probably aren't going to use long-term, you're left with something that competes with python f-strings. And yep I've tried it at multiple points in its evolution and never found it useful even in my toy apps. It was just a time sink trying to figure out why their own abstractions didn't work with each other. For weeks after they released Chat API integration, I scoured the web for working examples of using an agent with ChatGPT-3.5turbo. Closest I got was Microsoft's VisualChatGPT, until I found out it used langchain+text-davinci, despite its name :( Langchain really seems to be entirely hype, to me. Like, nothing in production I've heard about actually uses it AFAIK. Not AutoGPT, not BabyAGI, nothing at any of the big companies, etc. But it's available in 2 languages and has integrations with everything under the sun, making it easy to adopt! Despite this lack of production usage with positive anecdotes, you're still hearing about this library a lot! Definitely doing the VC playbook. EDIT: Go to their discord and read the #ask-kapa-langchain channel. This is a retrieval augmented Q&A bot, powered by langchain, which (every time I've checked) has helped ~nobody. I'm really not trying to cherry-pick - this is something that should be rock solid if this software stack is useful at all.