jev-mode is a Python CLI tool that calls the TypeSafe Jev model for typed judgments (classification, scoring, boolean) to reduce coding agents' token usage. In a measured 1000-item triage run, tokens dropped 78% and accuracy was 96.1% vs 93.7%.
该仓库实现了TypeSafe Jev API的CLI调用，包含批量分类、评分、布尔判断、门控与覆盖率测量功能，并提供了实测token减少与准确率数据，属于真实集成使用。
TypeSafeAITypeSafeAI/jev-harnessOfficialTypeSafeAI community repository implementing a Jev-based proposal-review workflow: an LLM proposes, Jev answers four narrow questions, code decides and leaves receipts; includes offline tests, routing experiments and a Next.js demo.
ekzhangekzhang/openjev-sglangJev-compatible API endpoint based on open models (prefill-only), implementing TypeSafe Jev/System One evaluation endpoints with Qwen3.6-35B-A3B on SGLang.
keltokhykeltokhy/jgrepjgrep is a CLI semantic grep that calls TypeSafe's Jev/System One decision model to judge lines or diff hunks by description, returning probabilities instead of generated text.
