dsh-usage-dashboard
DeepSeek Harness usage analytics dock on the composer: Beijing-time peak/valley pricing with all-day weekend valley rate, live balance, cross-session history, by-date drill-down and charts.
DSH 用量分析坞:输入框峰谷计费坞(周末全天谷时)、实时余额、跨会话历史、按日期下钻与图表。
How to install
dsh plugin add github:woosh2010/dsh-usage-dashboard About
dsh-client-ui-usage — DeepSeek Harness 用量分析插件 🌐 Languages: **中文** · English · 日本語 · 한국어 · Español · Français · Deutsch 给 DeepSeek Harness Web(dsh web)输入框下方加一行**峰谷计费坞**,点击展开完整的**用量分析仪表盘**:跨会话的 token / 成本 / 模型 / 峰谷数据自动落盘,并提供全局筛选与多维图表。 功能特性 **峰谷分时计费**:按北京时间峰时(9:00–12:00 / 14:00–18:00)与谷时(半价)计价;坞上实时显示当前时段、进度条、距下次调价倒计时、会话累计 / 本轮成本与账户余额(60 秒自动刷新,走官方 /user/balance 代理,API Key 不出浏览器)。 **历史落盘**:每一步 token / 成本 / 模型 / 峰谷自动写入 ~/.dsh/storages/usage-history.jsonl,跨会话、跨重启保留(软上限 4 万条自动裁旧)。 **全局筛选**:面板顶部的全局选项,所有图表与统计卡实时联动—— 时间范围:今天 / 7 天 / 30 天 / 90 天 / 全部 会话范围:全部会话 / 本会话 模型筛选:全部模型 / 单个模型 **统计卡**:成本(含峰/谷拆分)、To…
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 2
- mo. downloads
- –
- Last push
- 2026-09-03
- Created
- 2026-08-21
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, curated:0xsline/awesome-deepseek-harness
- Topics
- 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.