dsh-balance-and-cost
DeepSeek account balance and model cost tracking with official peak/off-peak pricing, three-tier token billing (cache miss, cache hit, output), per-model and per-session breakdowns, a composer summary bar with hover details, CSV export, and a settings panel.
DeepSeek 账户余额与模型消耗:官方价格表分高峰/空闲时段计价,三档计费口径(缓存未命中/命中/输出),按模型与会话统计,主页摘要条悬停明细,支持导出 CSV 与重置记录。
How to install
dsh plugin add github:boooooooer/dsh-balance-and-cost About
dsh-balance-and-cost DeepSeek Harness(DSH)标准 bundle 插件:显示 **DeepSeek 账户余额** 与 **模型消耗量**。 主页输入框下方实时摘要条:DeepSeek 余额 ¥xx.xx CNY · 本会话(模型) xx.xM tok ≈¥x.xxx · 总计 xx.xM tok ≈¥x.xxx · [高峰/空闲](模型名跟随会话最近调用,token 按官方三档口径 M/K 缩略,悬停查看明细) 插件中心(设置 → 插件)「DeepSeek 用量」标签页:余额明细、按模型/按会话统计、三档悬停、导出 CSV、重置记录 纯 JavaScript、零依赖、零构建——GitHub 直装无需构建授权。 界面预览 主页摘要条(输入框下方) 摘要条静息状态(显示会话最近使用的模型,费用记录从安装插件/重置记录起计算,无法加载历史记录): 实际使用中的摘要条(调用次数、token 与估算费用实时更新): 悬停 token 数字:当前模型在本会话的三档消耗明细(输入·缓存未命中 / 缓存命中 / 输出,与官方计费口径一致,三档之和 = 合计): 悬停模型名:本会话中 deepseek-v4-flash / deepseek-v4-pro 两个模型的实际消耗对比: 插件中心「DeepSeek 用量」面板(设置 → 插件) 静息状态(安装/重置后尚…
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 1
- mo. downloads
- –
- Last push
- 2026-09-20
- Created
- 2026-08-17
Links
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
- Topics
- deepseek-harness, dsh, dsh-plugin
Related plugins
TokenLedger
zh667/TokenLedger
Sidebar usage panel that attributes tokens to the relay site that served each request, read from your existing provider config: today/month/all-time totals, per-site and per-model breakdowns, a year activity heatmap, and New API / Sub2API / DeepSeek balances.
dsh-context
bowenliang123/dsh-context
DSH context insight panel: Context dashboard + /context command + Context browser — one-stop context lifecycle management with categorized composition, content details, evolution trends, compaction/injection events, and stats.
dsh-usage-statistics-panel
HaoyueQin/dsh-usage-statistics-panel
Usage statistics settings panel: 26-week activity heatmap, daily token trend with a cache hit-rate curve, per-model donut and breakdown, time-range filters, summary cards, one-time historical backfill and lossless rebuild.
dsh-all-usage
ParticleLight/dsh-all-usage
Analyze usage across models, providers, workspaces, and time ranges — including custom start/end dates over the full retained history — with live cache-hit visibility and separate model and provider breakdowns. Includes hourly single-day trends, daily cross-day trends, a 53-week GitHub-style heatmap, usage streaks, model and workspace Token-share donut charts with Token, cost, and percentage details, independent combinable filters, cache-efficiency trends, DeepSeek account balance, workspace aliases, CSV export, and a durable ledger that preserves successfully flushed usage after session deletion — and after a workspace is deleted, where its recorded usage is summed into one Deleted row — and rebuilds incrementally — on restart, unchanged sessions are applied from the ledger without re-reading their logs (a per-session log revision is the change signal), and only changed/new events are folded. The workspace registry is kept fresh automatically through the DSH domain/changed probe: only added/removed workspaces are reprocessed incrementally, unchanged workspaces reuse their computed aggregates and ledger with zero rescan, and usage is strictly limited to DSH-registered workspaces (unregistered cwds are ignored). After a scan, lightweight revision status fetches full history only when the Host/data state changes and exposes non-sensitive sync health (revision reuse, rereads, ledger recovery, and failures). Token accounting is explicit: input is fresh (cache read/write and reasoning are separate buckets) and zero-usage replays never overwrite recorded usage. Chinese uses local time, English uses UTC; API access is loopback-only.