dsh-usage-chart
Token, cost, and balance dashboard under the composer: live indicator plus zero-dependency SVG charts for per-turn usage, estimated cost, and DeepSeek account balance.
输入框下方的用量/成本/余额仪表盘：实时指标指示器 + 零依赖 SVG 用量图表，按轮次统计用量、估算成本并实时查询 DeepSeek 账户余额。
How to install
dsh plugin add dsh-usage-chart About
dsh-usage-chart DeepSeek 用量 / 成本 / 余额仪表盘 · DSH Web 插件 English · 问题反馈 · 更新日志（中文） · Changelog (EN) 界面预览：左侧为浅色英文界面，右侧为深色简体中文界面。两者均会跟随 DSH 的主题与语言设置。 图片仅使用虚构演示数据：不含真实会话内容、Token、成本、余额或 API Key。 在 DeepSeek Harness Web UI 的**输入框下方**实时显示 token 用量、成本估算、模型与账户余额；点击展开**用量可视化图表面板**（参考 DeepSeek 开发者平台的用量页组织方式），全部使用零依赖 SVG 自绘，不引入任何图表库。成本支持 **USD / CNY 多币种显示**与**实时汇率刷新**（v0.3）。 ▸ 输入 12.4M · 输出 86.2K · 缓存 72% · 成本 ≈$0.042 / ≈¥0.284 · demo-model · 余额 -- 点击 ▸ 展开面板： **会话用量汇总** — 输入（未命中/命中）、输出、缓存命中率、上下文占用（均来自官方 adapter 上报的 tokenUsage / contextPressure 投影） **成本估算** — 按官方刊例价（USD/1M tokens）估算并标注来源与核验日期；支持用户覆盖 pricing.j…
Recommendation signals
Meta
- License
- MIT
- Language
- TypeScript
- GitHub stars
- 9
- mo. downloads
- 2.6K
- Last push
- 2026-09-23
- Created
- 2026-08-13
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- ai-cost, awesome, awesome-dsh-plugin, data-visualization, deepseek, deepseek-api, deepseek-harness, developer-tools, dsh, dsh-plugin, token-usage
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.