dsh-model-pricing

Compare LLM API prices before you pick a model. A plugin for DeepSeek Harness (DSH) that puts a model pricing and capability table directly into your DSH settings: per-1M-token input/output/cache prices, context window, coding/agentic/vision/long-context tags, and which reachable route is cheapest for the same model right now.

The pricing table in the DSH Settings → Models page: cross-provider cheapest badges, capability tags, and per-1M-token prices.

Why

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.

Features

• Pricing table for every connectable model — input / output / cache-read price per 1M tokens, context window, and max output (213 providers, ~7,200 priced models)
• Capability tags computed from structured catalog fields: Coding, Agentic, Vision, Long context, Open weights, Structured output — with user-configurable rules
• Authoritative routing prices: for models DSH can actually invoke, the harness's own bundled pi-ai catalog overrides the public catalog, and price divergences larger than 10% are flagged row by row
• Automatic cross-provider comparison for the same model (−N% vs …, cheapest)
• Community promotion feed: verified, time-boxed offers rendered as badges with provenance tooltips and a one-click filter; contributed through reviewed pull requests and validated by CI (promos/README.md)
• Planned next: badges inside provider cards, a /pricing command, and approximate per-session cost

Install

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 .

Privacy and data sources

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
• the @earendil-works/pi-ai model catalog already bundled with DSH — authoritative for the routes you can invoke
• the promotion feed served as static JSON from this repository

Every displayed price is labeled with its source and freshness. Prices are estimates for model selection, not billing data — your provider's invoice is the only authority.

Documentation

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

Contributing

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 (submission in progress) and installable alongside the other community plugins through dsh plugin add.

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License

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.