This kind of reflects the fact that a lot of working with LLMs is just organizing text, and prompts can become a real engineering problem when you are orchestrating pipelines of dozens or more files with completions at various points with context windows of 100K tokens or more.

I've not found a satisfying framework yet, generally find raw Python best. But I still spend too much time on boilerplate and tweaking formatting or samplers and chunking for context windows.

If anyone knows of a better tool for abstracting that away (LangChain is not it IMO) please let me know.