Comment by fny
11 hours ago
Secret: "compile" that orchestration prompt. Determinism is solved by turning prompts into code that can in turn run agents or run code or both.
Everyone misses this pattern with skills: you can just drop code alongside a SKILL.md to guarantee certain behaviors, but for some reason everyone's addicted to writing prompts. You don't even need to build a CLI. A simple skill.py with tasks does it. You can even have helpers that call `claude -p`!
What about when the model trusts itself more than the "black box" you gave it, and hallucinates its use or non-use in favor of reimplementation? I found this video about "intelligent disobedience" interesting.
https://www.youtube.com/watch?v=Qu-00j9XuF0
Exactly this, I tend to work this way. I built an ingestion pipeline to pull concepts out of a novel using Qwen and push them into falkordb this way
Could you elaborate what does "compiling orchestration prompt" mean?
When you get some abstraction working you concretize it in something deterministic, or sort of “cache” that knowledge bit (aka write me a function, class, library, whatever). In the future, the nondeterministic path now has a deterministic piece to lean on as it explores the problem space. Rinse, repeat, eventually you have a mostly deterministic system now. Leave flexibility in space where you need that nondeterminism.
Rather than telling the LLM "loop through these files", tell it "write a script to loop through these files", then hard-code that script somewhere.
The models will eventually be able to know that they need to do that to get the thing done from natural language
a guess but i think they mean take the orchestration prompt and prompt yet another llm to turn that prompt into code..?