dsh-plugin-balance
A floating credit/quota widget for the DeepSeek Harness Web: shows DeepSeek / OpenCode Go balances and usage, and tracks DSH session token usage and estimated cost by day, month, and model.
DSH Web 的 LLM 额度/用量悬浮窗：显示 DeepSeek / OpenCode Go 余额与套餐用量，并按日、月、模型统计 DSH 会话 token 用量与费用估算。
How to install
dsh plugin add dsh-plugin-balance About
dsh-plugin-balance **DeepSeek Harness Web 的 LLM 额度 / 用量悬浮窗 —— 附带 DSH 会话 token 用量与费用统计。** 简体中文 · English **简体中文（默认）** · English README --- ✨ 项目介绍 dsh-plugin-balance 是一个 DSH（DeepSeek Harness）Web 插件，在**输入框正上方**显示一个小悬浮窗，可以： **查询 LLM 账户余额 / 套餐用量**：支持 DeepSeek 官方、**OpenCode Go**、OpenAI，以及任意自定义额度接口。 **OpenCode Go**：主窗口直接显示 **5h / 每周 / 每月** 三个用量百分比徽章（按用量高低自动变色：绿 → 黄 → 红）。 **DSH 会话 token 用量统计**：你的 DSH 对话一共消耗了多少 token，按 **每天 / 每月 / 总共** 累计，并**按模型**拆分，持久化到磁盘。 **费用估算**：按 DeepSeek（峰谷价）、Kimi、GLM 等官方价对 token 用量估算费用。 悬浮窗可拖动、自动适配亮/暗主题，折叠成小胶囊后仍保留**刷新按钮**。 🖼 预览 **① 用量明细** —— OpenCode Go 5h / 每周 / 每月 用量与重置时间 **②…
Recommendation signals
Meta
- License
- BSD-3-Clause
- Language
- JavaScript
- GitHub stars
- 6
- mo. downloads
- 2.9K
- Last push
- 2026-08-26
- Created
- 2026-08-20
Links
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- 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.