gptcache
Project / 项目 · In the catalogue / 在目录中查看
What Jev decides here · Jev 在这里做什么决定
noul: text signal only: the cited file contains their request or answer shape 仅文本信号：引用的文件里出现了它们的请求或回答格式
a person read the call site 有人读过调用点 · · Cited file / 引用的文件: gptcache/similarity_evaluation/jev.py
Summary · 摘要
Semantic cache for LLM calls. Its Jev evaluator asks, for a cached answer and a new request, nouls on whether the task and context match, the format fits, nothing is missing and the answer is still fresh, and reuses it only if the lowest clears the threshold (0.70 in its example).written by a model
面向 LLM 调用的语义缓存。其 Jev 评估器针对一条缓存答案和一个新请求问若干 noul：任务和上下文是否一致、格式是否合适、是否缺少内容、答案是否仍然新鲜；只有最低的一项也超过阈值（示例中为 0.70）才复用答案。模型撰写机翻
Launches · 发布记录
Not launched yet. 还没有发布过。 Launch it / 发布它 ↗ · How a product launches / 怎样发布一个产品
Makers · Maker
Made this? Confirm or correct its entry / 这是你做的？确认或更正条目 ↗
The same form takes the product's one line and a demo link, in its maker's own words. 同一个表单也可以补上产品的一句话和演示链接，用 Maker 自己的话。
Badge for its README · README 徽章
[](https://kydlikebtc.github.io/awesome-jev/products/gptcache.html)One line for the product's README, linked to this page. The picture says that it is listed; while it is on the launch board, that it is launching; after a week in the top three, its place. It is rebuilt with the site, so the line never needs changing. 放进产品 README 的一行，链接到本页。图片显示已收录；在发布榜上时显示正在发布；进过某周前三后显示名次。它随网站一起重建，这一行不用再改。
Also under this pattern · 同一模式的其他产品
AutoGPT TypeSafe blocks
Seven production blocks — choice, score, yes/no, ask-many, route, pick-best, filter — with a UTF-8 byte budget, verbatim wire capture and eleven test files.
jev-chat-jarvis
An Android reply co-pilot that judges intent, timing and risk from on-screen text, while separate models handle OCR and drafting.
pg-jev
A real PostgreSQL extension exposing the primitives as SQL functions, so a semantic decision can appear in a WHERE clause over any row type.
jev-chat-windows
微信（Windows 4.x）旁挂的回复辅助：窗口截图 + 本地离线 OCR 读对方消息 → Jev 判断意图 → 3 条候选一键填入，发送永远手动
jev-seo
SEO audit from one homepage URL: it crawls the site, checks 52 rules and Core Web Vitals, and asks Jev choice, score and noul questions about each page (type, search intent, helpfulness, trust, whether it opens with the point). Code acts only on decisive answers (0.80 confidence) and ranks fixes.