Hi everyone,

I've created a new package called llm, for the purpose of abstracting the
interface to various large language model providers.  There are many LLM
packages already, but it would be wasteful for all of them to try to be
compatible with a range of LLM providers API (local LLMs such as Llama 2,
API providers such as Open AI and Google Cloud's Vertex).  This package
attempts to solve this problem by defining generic functions which can then
be implemented by different LLM providers.  I have started with just two:
Open AI and Vertex.  Llama 2 would be a next choice, but I don't yet have
it working on my system.  In addition, I'm starting with just two core
functionality: chat and embeddings.  Extending to async is probably
something that I will do next.

You can see the code at https://github.com/ahyatt/llm.

I prefer that this is NonGNU, because I suspect people would like to
contribute interfaces to different LLM, and not all of them will have FSF
papers.

Your thoughts would be appreciated, thank you!