Orc (working name) - auditable and declarative AI workflow

I’m building a small “Orchestration as Code” repo for LLM workflows. Does this concept make sense? I’ve been working on an early project called ORC, short for Orchestration as Code. I’m at the stage where I’m mainly trying to gauge whether the concept is interesting/useful to other people, especially people running local models, Ollama, llama.cpp, LM Studio, MCP tools, or mixed local/cloud workflows. The basic idea is: Instead of building LLM workflows as Python orchestration soup, or wiring them together in a visual tool, ORC lets you describe workflows declaratively in.orc files.