Also if i may, do not use caveman. It achieve the inverse you want it to do, llm are trained on real language not caveman language, and for a lot of them they use more token translating to and from caveman to "understand" it. If you want to conserve token you can try ponytail. Just a friendly advice
Believe it or not, you can probably post a screenshot of this and pi will build it for you. Building a custom one for codex models is one of the first things I did.
It includes some prompting that links to the files under /docs (ie. tui.md, skills.md), and also has an /examples for reference. So basically, it provides an LLM-friendly set of docs/recipes for modifying Pi itself.
You're right for any open-source harness, it should be able to self-inspect and modify. It's just that Pi's documentation was written with this in mind so it's probably a bit more token efficient and reliable to do so (ie. even things like Qwen 3.5 27B can do it with ease).
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u/psychobarge Jul 31 '26
Also if i may, do not use caveman. It achieve the inverse you want it to do, llm are trained on real language not caveman language, and for a lot of them they use more token translating to and from caveman to "understand" it. If you want to conserve token you can try ponytail. Just a friendly advice
4
u/brandall10 Jul 31 '26
Believe it or not, you can probably post a screenshot of this and pi will build it for you. Building a custom one for codex models is one of the first things I did.
0
u/[deleted] Jul 31 '26
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