dsh-cost-tracker
Tracks DeepSeek Harness LLM token usage and cost (CNY, peak/off-peak pricing) with a settings dashboard, agent tools, HTTP API and persistent storage.
统计 DeepSeek Harness 的 LLM Token 用量与花费（人民币、峰谷计价），提供设置面板、Agent 工具、HTTP 接口与持久化存储。
How to install
dsh plugin add @angelyeye/dsh-cost-tracker About
**DEEPSEEK HARNESS LLM 花费与用量统计插件** **简体中文** | English --- 一个为 DeepSeek Harness 打造的 LLM 花费统计插件:自动记录每一次 API 调用的 Token 用量与费用(人民币),**原生支持 DeepSeek 官方峰值价格计费(高峰 / 闲时半价自动区分)与 Kimi Coding Plan 订阅套餐的用量及等效费用统计**。设置页可视化仪表盘、图表悬停明细、对话内 Agent 查询、账户余额与订阅配额监控,数据全部本地持久化——重启不丢、卸载无痕。 An LLM cost-tracking plugin for DeepSeek Harness: records token usage and cost (CNY) for every API call, with **native support for DeepSeek's official peak/off-peak pricing and Kimi Coding Plan subscription usage & equivalent-cost statistics**. Visual settings dashboard with hover tooltips, in-chat agent queries, balance & quota mon…
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 0
- mo. downloads
- 1.7K
- Last push
- 2026-09-24
- Created
- 2026-08-18
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- cordis, cost-tracking, deepseek-harness, dsh-plugin, llm
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.