dsh-model-pricing
DeepSeek Harness 的模型价格与能力面板：比较每 100 万 token 的价格，找到最低成本选项，并在 DSH 设置界面中查看所有可连接 LLM 的编码、智能代理和视觉标签。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add dsh-model-pricing@0.6.1
Model Pricing 以 dsh-model-pricing 发布，当前版本为 0.6.1。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
Compare LLM API prices before you pick a model — and see what you actually paid after you used it. A plugin for DeepSeek Harness (DSH) that puts a model pricing and capability table directly into your DSH settings (~7,250 priced models, 213 providers), and then reads your own session logs through the same catalog: per-project spend priced by the route you actually called, and the dollars your prompt cache is silently losing.
dsh-model-pricing pricing table rendered in the DSH Models settings page
The pricing table in the DSH Settings → Models page: cross-provider
lowest listed badges, capability tags, and per-1M-token prices.
The session costs panel: per-workspace spend by the route actually called, cache leaks by cause, and a price × speed quadrant measured from your own history.
Choosing a coding agent model today means opening three browser tabs: your provider's
price page, a comparison site, and someone's spreadsheet of which API is discounting
this month. dsh-model-pricing collapses that into the harness you are already in:
one table, filtered to what you can actually call, refreshed from public catalogs on
your own machine.
pi-ai catalog overrides the public catalog, and price divergences
larger than 10% are flagged row by rowpromos/README.md)Planned next: badges inside provider cards, a /pricing command, and cost
projection before compaction.
dsh plugin --profile web add dsh-model-pricing
Restart dsh web and open Settings → Models: the pricing table appears at the
bottom of the page. The plugin needs no configuration; first load fetches the
catalog and caches it locally.
From source (for development):
git clone https://github.com/vitas/dsh-model-pricing.git
cd dsh-model-pricing
npm install && npm run snapshot && npm run build
dsh plugin --profile web add .
The plugin runs entirely on your machine; it operates no server of its own. Its outbound traffic is an anonymous read of public catalog data:
models.dev — 213 providers with per-model costs and
capability metadata@earendil-works/pi-ai model catalog already bundled with DSH — authoritative
for the routes you can invokeSession costs and cache leaks are computed from the local session logs under your DSH home directory and stay on your machine — nothing is uploaded to see them. Every displayed price is labeled with its source and freshness. Prices, cost and leak figures are estimates for model selection, not billing data — your provider's invoice is the only authority.
| Document | Contents |
|---|---|
| docs/feature-map.md | Feature specification: scenarios, epics, MVP definition of done, risks, recorded decisions |
| docs/architecture.md | System architecture: deployment model, transport, data model, packaging, CI, milestones |
| docs/design.md | UX design of the pricing section: layout, states, badge vocabulary, tokens, accessibility |
| docs/distribution.md | How the plugin is published, discovered, and maintained in the DSH ecosystem |
| spike/RESULTS.md | Platform-validation evidence for the architectural assumptions |
Wrong price? Missing promotion? Open an issue
using the structured forms, or send a pull request to promos/** — every entry needs
a source URL and an expiry. Code contributions should follow
docs/architecture.md (package layout, CI expectations).
This plugin is listed in
awesome-dsh-plugin
(accepted 2026-09-11) and installable alongside the other community plugins
through dsh plugin add.
If this saved you a tab-switch, a star helps other people find it.
Apache-2.0. Pricing and capability data are retrieved at runtime from
models.dev and the bundled @earendil-works/pi-ai catalog;
source and freshness are attributed per row in the UI.