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dsh-meow-cachebilling

DeepSeek Harness Other Low risk

Per-round cache billing inside the composer context-meter popover: what the current call spends on cache hits, misses, and output in CNY, with automatic official peak/off-peak and per-model pricing; hidden on non-official DeepSeek routes.

点开输入框旁的上下文圆环即见本轮账单:缓存命中/未命中/输出各花多少钱(¥),官方峰谷价与模型分价自动判定;非 DeepSeek 官方路由不显示。

How to install

DeepSeek Harness dsh plugin add github:Phant0Meow/dsh-meow-cachebilling

About

meow-cachebilling English 难道只有我在关心怎么省钱?你们都那么有钱的吗…… 为什么会有这个插件 dsh缓存命中率高,ds服务器缓存处理也得当,价格也便宜,导致可能很多人都忽略了—— 单价再便宜,当上下文越来越长的时候,它还是会越来越贵。 到最后一算,你实际上付的钱,可能90%以上都是为了买缓存。 也就是说如果有更好的换窗口策略,及时换窗口,ds的费用能大幅度下降。 这是真的,我试了换窗口勤快的策略,试了两天,然后发现,真的便宜了。 我让GPT给我算的,算法是这样的: 缓存命中实际上都是聊过的上下文,每轮带着,所以显得多。 但未命中的输入和ai输出,才是硬梆梆不能少的实际使用,是不是? 所以或许应该用“实际使用”去衡量两天不同的工作量,并比较两天的性价比。 GPT算出来我勤换窗口时,便宜了50.1%。 所以,正确的deepseek使用姿势是: 不断开新窗口,旧窗口就再也不动了。 很长的旧窗口,每动用一次,都要为缓存付很多钱。 如果是时间久了、服务器那边缓存都删除了的旧窗口,那想必更是天价,全都按miss算啊。 所以旧窗口碰都不碰是最优解。 (所以还需要配合记忆插件来把旧窗口的有用信息带走) 但是,具体什么时候换窗口,你就需要衡量了。 换窗口的成本是: AI需要重读代码的miss输入(可以通过fork减少这项成本)。 你需要重新介绍任务和规则的人力成本(可以通…

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Meta

License
MIT
Language
JavaScript
GitHub stars
1
mo. downloads
Last push
2026-08-24
Created
2026-08-22

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin, curated:0xsline/awesome-deepseek-harness
Topics
billing, cache, cost-tracker, deepseek, deepseek-harness, dsh, dsh-plugin

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