[screye]

It is useful if you keep swapping things out. Langchain's wrappers stay stable and up-to-date because of their popularity. In production, it's ideal startups that undergo a lot of flux.

I would suggest against using their orchestration tooling, DSLs or default prompts. Those components are either underbaked or require deep adoption in a way that is harder to strip out later.

We change models, providers and search tooling quite often. Having consistent interfaces helps speed things up and reduce legacy buildup. Their stream callbacks, function calling integration, RAG primitives and logging solutions are nice.

One way of another, it is useful to have a langchain-like solution for these needs. Pydanticai + logfire seems like a better version of what I like about langchain. Haven't tried it, but I bet it's good.