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dsh-token-stats

Token Stats

DSH 插件:按模型/日期/会话统计 token 使用量和成本,支持历史回填以及 CSV/JSON 导出

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:1841220388zzzcccxxx-star/dsh-token-stats#7bc65dc9901ba1dee62b49cee571eabcdd31c569
README兼容性版本
Token Stats dashboard

兼容性与来源证明

Token Stats 以 dsh-token-stats 发布,当前版本为 1.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
web
发布来源
github
Registry 更新时间
2026/9/29

版本

1.1.0stable
2026/9/29
1.0.0stable
2026/8/22

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最新版
1.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
web
许可证
MIT
发布源
github
GitHub
★ 2
周下载
0
最近提交
2026/9/29
查看源码 ↗
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README

dsh-token-stats

Token usage & cost statistics plugin for DeepSeek Harness (DSH).

Tracks token consumption per model, per date, and per session with cost estimation in USD / CNY, served as a native page under Settings → 📊 Token Stats. Installed as an external DSH plugin, it loads automatically at DSH startup — no manual activation needed.

中文说明

Features

  • 📊 Native settings page (dark/light aware, follows DSH theme tokens, i18n zh/en)
  • 📈 Daily / weekly / monthly trends with an SVG line chart (zero dependencies)
  • 💰 Cost estimation (USD & CNY) from a built-in pricing table for DeepSeek, GPT, Claude, Gemini, Qwen…
  • 🔁 History backfill: scans all persisted session logs at startup, so stats survive restarts
  • ⚡ Fast: batched session-title reads with an in-memory cache (TTL 5 min), single-pass summaries, memoized pricing
  • 📤 CSV / JSON export, filterable by model and session

Screenshot

Token Stats dashboard

Installation

The plugin is installed as an external DSH profile dependency.

  1. Clone this repository to a local folder, e.g. D:\dev\dsh-token-stats

  2. In your DSH profile manifest (~/.dsh/profiles/web/package.json):

    {
      "dependencies": {
        "dsh-token-stats": "link:D:/dev/dsh-token-stats"
      },
      "dsh": {
        "profile": {
          "bundles": ["@deepseek-ai/dsh-base", "@deepseek-ai/dsh-web-app", "dsh-token-stats"]
        }
      }
    }
    
  3. cd ~/.dsh/profiles/web && pnpm install

  4. Restart DSH web. Open Settings → 📊 Token Stats.

cordis.patch.yml declares the bundle-layer mount point so the plugin auto-loads at startup. With a link: dependency the profile mounts the source folder directly — after editing the plugin, just restart DSH web (no copy step). file: also works but needs a re-copy per change (.\sync-deploy.ps1 automates that). Alternatively, dsh plugin --profile web add link:<path> forwards the install to pnpm; the dsh.profile.bundles entry still needs adding by hand.

Compatibility

Declared per the official plugin contract and enforced by DSH ≥ 0.2.0 at install/startup preflight:

  • engines.dsh / peerDependencies["@deepseek-ai/dsh"]: >=0.1.0-rc.6 <0.3.0
  • Verified on 0.1.7-rc.2 (latest stable line) and 0.2.0-rc.1 (next preview line): server APIs (sessionQuery, tokenMeter.estimateMessage, session/event, llm/stream, webServer.register) and the settings.section client slot are all present in both lines.

DSH is developer preview and iterating rapidly. If the runtime version falls outside the declared range, DSH rejects the plugin at startup — update the range only after re-testing, or grant an exact-version exemption with dsh plugin allow-version.

How it works

  • Authoritative data = DSH persisted session logs: assistant/message events carry real usage (input / output / cache-read / cache-write / reasoning tokens), request/header events carry provider/model.
  • A one-shot backfill at startup (sessionQuery) rebuilds the in-memory aggregation index from all history (bounded concurrency).
  • llm/stream usage chunks are captured for live (display-only) in-flight totals.
  • When an adapter reports no usage, tokenMeter.estimateMessage is used and the record is flagged estimated.

HTTP API (/token-stats/api)

opdescription
summarytoday / week / month / total aggregates
querytime series (day/week/month) + per-model / per-session aggregates; filters: model, sessionId, from, to
modelsbuilt-in pricing table (USD per 1M tokens) + USD→CNY rate
sessionssession list (id + title)
exportCSV / JSON dump (format=csv|json, optional model / sessionId)

Development

node --check index.js      # server half
node --check client.js     # browser half
node test-plugin.js        # standalone mock tests: correctness + performance benchmarks
.\sync-deploy.ps1          # only needed for file: installs; link: mounts restart to reload

Performance

Measured on the author's machine (14 sessions / ~10k records):

endpointbeforeafter
sessions~1700 ms (N serial readTitle calls)~12 ms (one batched readTitleSnapshots + cache)
summary~110 ms (4× full-array filters)<1 ms (single pass)
query~10 ms~18 ms at 10k records (memoized cost)

License

MIT © 2026 quansheng