save-token-jev-clean
Instead of asking another LLM to rewrite old context into a lossy summary, save-token-jev asks Jev which tool calls and results still matter. User and assistant text is kept verbat
82 ★ on GitHub
What it is
Instead of asking another LLM to rewrite old context into a lossy summary, save-token-jev asks Jev which tool calls and results still matter. User and assistant text is kept verbatim. A tool call can be kept with its full result, kept with a bounded result, or removed together with its result.
Getting started
From the README:
npm install
npm run check
export TYPESAFE_API_KEY="..."Where the decision sits
save-token-jev-clean calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.
Models it references: Jev.
How active it is
Created 2026-09-18, last pushed 2026-10-02, 82 stars and 13 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.
Find out what your data actually supports
We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.