DeepSeek Harness Plugin

kelearns/dsh-token-usage

Stars ★ 1 Category UI Enhancements Added 2026-08-15

Token usage heatmap for the Web UI: daily/weekly/cumulative views over a 12-month window with light/dark themes.

Install

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:kelearns/dsh-token-usage

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).

README

English | 简体中文

@kelearns/dsh-token-usage

npm version License GitHub

Token usage heatmap for the DeepSeek Harness (dsh) web GUI — a GitHub-style contribution graph for daily / weekly / cumulative token consumption, with a summary bubble, hover details, and activity insights. Mounted through the official dsh plugin mechanism (dsh plugin add) — no dsh source changes.

A "Token Activity" entry appears in the settings sidebar.

Screenshots

Daily heatmap — dark theme, English (12-month window)

Three views — dark theme, English

Daily Weekly Cumulative

Light theme & Chinese UI

Light (English) 深色主题(简体中文)

Features

  • Summary bubble — one rounded container with 5 statistics divided by vertical rules: total / peak-day / longest session / current streak / longest streak;
  • Three views — Daily (per-day color levels), Weekly (per-week stacked cells: week total ÷ (max week / 7) cells, deepest color), Cumulative (per-week cumulative stack: total ÷ 7 per cell, newest column always full);
  • Window switch — last 3 / 6 / 12 months (default 12); fixed 12px cells, 12-month view scrolls horizontally and auto-scrolls to the latest week;
  • Hover details — hovering a cell shows that day's total, that week's total, or the week-to-date cumulative as of that day (localized zh/en);
  • Activity insights — most used model / reasoning effort / tool, peak hour, daily & monthly averages, most active weekday, most active day; sorted by label length, two equal columns with a continuous center divider;
  • i18n — zh / en, follows the document language live;
  • Themes — light & dark palettes, follows the dsh application theme;
  • Auto refresh — re-scans changed session files every 60s and on focus;
  • Cross-platform — pure Node stdlib on the host side (fs / path / os / zlib), works on Windows, macOS and Linux; the browser half is platform-agnostic.

Install (official mechanism)

Requires pnpm on PATH:

npm install -g pnpm

From npm (recommended):

dsh plugin --profile web add @kelearns/dsh-token-usage

Listed in awesome-dsh-plugin curated registry; also searchable as token-usage in the Plugin Market tab of dsh settings (dsh-market).

Local development install (run from this repository's root — link:. resolves to the current directory):

dsh plugin --profile web add link:.

Remove:

dsh plugin --profile web remove @kelearns/dsh-token-usage

The installer reads cordis.patch.yml (the dsh.bundle.patch manifest field) and applies the plugin row automatically — no manual patch editing. Restart dsh web to activate.

Manual equivalent (no CLI)

  1. Put the package into the profile node_modules: $DSH_HOME/profiles/web/node_modules/@kelearns/dsh-token-usage;
  2. Append this block to $DSH_HOME/cordis.patch.yml (idempotent):
- insert:
    - id: dsh-token-usage
      name: '@kelearns/dsh-token-usage'
  1. Restart dsh web.

Data source

$DSH_HOME/sessions///session.jsonl.zstd (the official dsh JSONL persistence: concatenated zstd frames; first line is the session header, followed by the event stream).

Token usage is folded from assistant/chunk events with chunk.type === "usage" (usage { inputTokens, outputTokens, cacheReadTokens }) attributed to local days by event time (epoch ms). Total = input + output + cache read. Insights additionally read request/header (model / reasoning effort), tool/call (tools) and usage timestamps (peak hour / weekday).

Per-file results are cached by (size, mtimeMs); rescans only re-decode changed (active) sessions.

Routes (same-origin)

Method Path Description
GET /dsh-token-usage/stats Full statistics: { totals, stats, insights, today, days:[{d,i,o,c,a}], scan }
POST /dsh-token-usage/refresh Force cache invalidation and rescan
GET /dsh-token-usage/status Cache / last scan state

Configuration

- insert:
    - id: dsh-token-usage
      name: '@kelearns/dsh-token-usage'
      config:
        refreshIntervalMinutes: 5   # background rescan interval (default 5)

Tests

node test/mock.test.mjs                                   # synthetic full pipeline
node test/mock.test.mjs "$env:USERPROFILE\.dsh"  # real-data smoke (any DSH_HOME)
node test/layout-algo.mjs                                  # layout algorithm matrix

Known limitations

  • Counts sessions that carry usage events (dsh session log format, verified on 0.1.0-rc.6);
  • Days are attributed in the process local timezone; weeks start on Monday;
  • zstd decompression requires Node >= 22.2 (satisfied by the official dsh runtime);
  • Missing/unreadable session directories yield empty statistics without affecting the GUI.

License

MIT

Content from the project README on GitHub ↗

Links

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