DeepSHPlugins
ds-api-usage 项目预览
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ds-api-usage

安全与运维JavaScriptMIT

在设置页展示 DeepSeek API 余额与最近 24 小时用量,包括估算消费、Token、请求次数和按小时时间线。

6 StarsSev7een 更新时间 2026-08-16
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ds-api-usage 项目预览

项目介绍

中文

在设置页展示 DeepSeek API 余额与最近 24 小时用量,包括估算消费、Token、请求次数和按小时时间线。

English

DeepSeek API balance and 24-hour usage dashboard in Settings, with estimated spend, token counts, request counts, and an hourly timeline.

项目信息与收录信号

快照 2026-09-11
作者 / 组织
Sev7een
仓库
Sev7een/ds-api-usage
GitHub Stars
6
Forks
2
开发语言
JavaScript
许可证
MIT
最近推送
2026-08-16
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74/ 100
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82
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100
生态关注度
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安装便捷信号
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README 含完整安装与使用说明。

评分来自已有数据快照的五维模型,仅作浏览参考,不是实际使用评测或安全检测结论。

安装与使用

所有项目资料与许可均以对应 GitHub 仓库为准。

dsh plugin add github:Sev7een/ds-api-usage

复制命令不会自动执行。请先阅读仓库文档,确认环境要求与许可证。

项目截图

仓库 README

GitHub 原文

已保存的仓库文档快照;文档抓取时间未记录,可能与上方目录介绍处于不同版本。安装前请核对当前仓库说明。

DHS API Usage — DeepSeek Harness plugin

English | 简体中文 | Português (Brasil)

After installation, open Settings → API Usage in DeepSeek Harness to view your DeepSeek API usage. The page shows your account balance, estimated spend, token counts, and API request count over the last 24 hours (14 days in the daily view), rendered as a timeline bar chart similar to the official DeepSeek platform usage page.

Features

  • 💰 Balance card — total balance with granted / topped-up split, labeled with the API-reported currency code (CNY or USD), plus an availability badge, fetched from the official GET /user/balance endpoint.
  • 📊 Metric cards — 24h estimated spend (CNY), token counts (input / output split), and API request count.
  • 📈 Timeline chart — hourly bars over the last 24 hours, or daily bars over 14 days, toggled between cost, tokens, and request counts (hover for exact values).
  • 🔄 Live refresh — balance refreshes every 60 s on the host; the page polls every 30 s and has a manual refresh button.
  • 🔑 No extra key setup — reuses the deployment's existing DEEPSEEK_API_KEY credential through the harness credentials service.

Architecture

┌─────────────────────────────── Host (Node.js) ───────────────────────────────┐
│ src/index.js                                                                 │
│  • ctx.on('llm/stream', ...)  ← waterfall: folds every real model call's     │
│      provider-reported TokenUsage (input/output/cache-hit/cache-miss,        │
│      already disjoint, matching DeepSeek billing vocabulary)                 │
│      into in-memory hourly + daily buckets                                   │
│  • fetchBalance()             ← credentials.resolve('DEEPSEEK_API_KEY')      │
│      → subprocess curl → https://api.deepseek.com/user/balance               │
│      (web.fetch cannot send an Authorization header, hence curl)             │
│  • webServer.register('/ds-api-usage/snapshot')  ← JSON endpoint for client  │
└──────────────────────────────────────────────────────────────────────────────┘
                              │ fetch('/ds-api-usage/snapshot')
                              ▼
┌────────────────────────────── Client (browser) ─────────────────────────────┐
│ client/bundle.js (web bundle; client/index.js = dynamic-plugin source)      │
│  • slots.inject('settings.section')  → new settings page (localized label)   │
│  • balance card + 3 metric cards + timeline bar chart                       │
│      (cost / tokens / requests; 24h or 14d)                                 │
│  • auto-refresh every 30 s (native setInterval in the static bundle)        │
└──────────────────────────────────────────────────────────────────────────────┘

Data notes

  • Token counts are real — they come from the usage chunk of every streaming model call (StreamChunk with type: 'usage', TokenUsage), the same provider-reported numbers the harness itself uses for session stats.
  • Cost is an estimate — CNY is computed from DeepSeek's public list prices (模型 & 价格) in the generated PRICING table (src/index.js), applied per model:
  • cache hit input → hit price
  • cache miss input → miss price
  • output → output price
  • cache write is not billed separately by DeepSeek and is excluded.
  • since 2026-08-16 DeepSeek bills peak / off-peak: models with peak / offPeak rates are priced by the request's UTC hour (windows in peakHoursUtc; 01:00–04:00 and 06:00–10:00 UTC); the rest use their flat rate.
  • Persisted aggregation — hourly buckets keep 48 h, daily keep 14 d, persisted to $DSH_HOME/storages/ds-api-usage.json (writes debounced to at most one per 60 s, flushed on plugin shutdown, fail-safe: a read/write error never breaks accounting). The 14-day view therefore survives web-app restarts; delete the file to reset. The harness separately keeps its own durable per-session token projection.

Installation

Via dsh plugin add (recommended, from GitHub or npm)

Install directly from this GitHub repository:

dsh plugin --profile web add github:Sev7een/ds-api-usage

or, once published to npm:

dsh plugin --profile web add dsh-plugin-ds-api-usage

dsh plugin forwards to pnpm in the profile directory and reconciles the package into the profile's bundle list (dsh.profile.bundles). The package's cordis.patch.yml (declared via dsh.bundle.patch in package.json) then inserts the plugin row into the host composition, and the dsh.client declaration makes the web shell load client/bundle.js as the settings page.

As a dynamic plugin (dev / session-scoped)

The original is a dynamic Cordis plugin, created per session with cordis_define / cordis_run (see the DeepSeek Harness docs). The code.host body is src/index.js minus the module.exports wrapper; the code.client body is client/index.js minus the wrapper.

Note: the dynamic form uses the sandbox-private harness.handle / host.call channel (client/index.js), while the static bundle form (client/bundle.js) talks to the host over the HTTP route /ds-api-usage/snapshot. Keep both in sync when changing the protocol.

As a composition plugin (persistent, manual)

Add a row to the host composition (cordis.patch.yml of your profile):

- insert:
    - id: ds-api-usage
      name: 'dsh-plugin-ds-api-usage'

or, without installing the package, by a relative path to this repository. The plugin is *host-plane*: it reads the host credentials, subprocess, timer, and webServer services and registers the client settings page in the root-scoped settings.section slot, so it should live in the host composition, not inside an agent preset.

Requirements

  • DeepSeek Harness with the DeepSeek LLM adapter configured (DEEPSEEK_API_KEY credential resolvable via the credentials service)
  • curl available on the host for the balance endpoint
  • A browser client with the settings sidebar (for the UI)

Development

npm run check   # syntax-check both halves
npm test        # offline test suite: pricing parser (fixtures) + peak/off-peak rate logic
  • Prices are auto-tracked: .github/workflows/update-pricing.yml (daily cron + manual dispatch) re-parses the official pricing pages and opens a PR when the table changes; npm run update:pricing does the same locally (--apply writes the generated block in src/index.js). Edit the table only through the script — the block between the __PRICING_BEGIN__ / __PRICING_END__ markers is generated.
  • The client localizes through the harness locale service (namespace settings.ds-api-usage) and follows the harness's active locale: dictionaries ship for the harness's zh/en ids plus a pt-BR entry for future harness support (keys missing in the active locale fall back to zh).

CI / GitHub Actions

The repository ships two workflows — no secrets or API keys are required, and the only prerequisite is GitHub Actions being enabled for the repository (default; check Settings → Actions → General → Allow all actions):

  • ci.yml — runs on every push and pull request: npm run check (syntax of both halves) and npm test (offline test suite with page fixtures).
  • update-pricing.yml — re-parses the official DeepSeek pricing pages every day (06:23 UTC cron) and on manual dispatch (Actions → update-pricing → Run workflow). When the table changes it opens a PR with the regenerated block (the workflow declares contents: write and pull-requests: write on the default GITHUB_TOKEN — nothing to configure). If the docs page is restructured, the parser validation fails and the job fails loudly instead of opening a bad PR.

After the first push, run Actions → update-pricing → Run workflow once to validate the pipeline end-to-end (a no change result is the expected, green outcome when prices are current).

License

MIT

使用前核对

安装步骤、兼容版本与授权范围以原项目当前文档为准。Stars 和评分是快照中的导航信号。

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