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Models Dev — DeepSeek Harness 插件(DSH Plugin)
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dsh-models-dev

Models Dev

使用实时的 models.dev 目录保持 DSH 提供商模型目录最新:自动更新每个提供商的模型(新增模型和现有模型),同步更新模态和思考级别,也可在 Models 页面通过一个刷新按钮完成。/ 保持实时的

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-models-dev@0.1.10
README兼容性版本

兼容性与来源证明

Models Dev 以 dsh-models-dev 发布,当前版本为 0.1.10。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。

DSH 兼容范围
*
运行环境
web
发布来源
npm
Registry 更新时间
2026/10/16

版本

0.1.10stable
2026/9/24
0.1.9stable
2026/9/23
0.1.8stable
2026/9/22
查看其余 6 个版本收起版本
0.1.7stable
2026/9/22
0.1.6stable
2026/9/22
0.1.5stable
2026/9/22
0.1.4stable
2026/9/22
0.1.3stable
2026/9/22
0.1.1stable
2026/9/22

相关插件

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最新版
0.1.10
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
58.9 kB
文件数
10
Surface
web
许可证
MIT
发布源
npm
周下载
20
查看源码 ↗项目主页 ↗
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README

dsh-models-dev

Keep DSH provider model catalogs current with the living models.dev catalog. (README.zh.md)

Configured providers in DeepSeek Harness carry model rows whose modalities (image input) and thinking levels drift stale between releases, and new models never appear. This plugin refreshes the models array of the providers you already use — new models appended, existing models updated in place, hand-added models left alone. It registers no routes of its own: no duplicated providers.

How it works

  1. Fetch https://models.dev/api.json (24h TTL cache in $DSH_HOME/plugins/dsh-models-dev/models.dev.json, offline fallback).
  2. For every hooked-up route (the llm-pi-ai family rows of the configurable provider directory) map the models.dev records onto models entries: modalities.input → input (image checkbox), reasoning_options effort values → reasoningEfforts (thinking levels with their wire spellings).
  3. Write the merged array back to providers.<route>.models with the settings seam's path ops and revision fencing — the same write the Models page's capability editor performs.

The route's api/baseURL (its wire endpoint) are handled far more conservatively than the model rows, because they decide which endpoint — and which bill — a call lands on. An absent field is left absent: llm-pi-ai's installed catalog usually resolves it already, and pinning a models.dev endpoint over that resolution is how a working route gets re-pointed at the wrong flavor (models.dev's zai is the Z.AI open platform, while pi-ai's zai route is the Z.AI Coding Plan — pinning the open-platform endpoint turns every call into 429 Insufficient balance or no resource package). The wire values are written only when llm-pi-ai's strict validation refuses the write without them (needs an api / needs a baseURL), and a pin left by 0.1.5–0.1.7 is repaired once sources names the models.dev provider your route actually subscribes to.

Upgrading from 0.1.5–0.1.7: if a route stopped working with a billing-shaped 429 after those releases, check its baseURL in Settings → Models → (provider) Edit → Customized settings. Those versions pinned the same-named models.dev endpoint; for a GLM Coding Plan key, add sources: { zai: zai-coding-plan } below (or set the Base URL to https://api.z.ai/api/coding/paas/v4) and the next refresh repairs it.

Surfaces

  • Automatic check — one sweep at startup and every refreshHours for everything hooked up (autoSync).
  • Refresh button — in Settings → Models → (provider) Edit → Model capabilities header: a globe icon ("update models from models.dev API"). Hovering spins it 360° (and eases back on leave); pressing it crossfades the globe into a loading spinner for the round trip. The answer pops a toast: a success card with the per-route counts (opencode-go: +2/~28), or an error card carrying the failure, the host log and the stack trace. Pressing it refreshes that provider's rows immediately.
POST /api/dsh-models-dev/refresh   body: { "route": "opencode-go" }   # or {} for all

The endpoint is loopback-fenced like the other in-box /api routes (a trusted LAN request is replayed as loopback by dsh-lan).

Settings

Requires DSH >= 0.1.7. The plugin's configuration is no longer a ~/.dsh/settings.yaml section: 0.1.7 renders the form from the plugin's own config schema (Settings → plugins → dsh-models-dev) and keeps the values in the active profile patch (profiles/<name>/cordis.patch.yml). Same keys as the entry's config: block:

dsh-models-dev:
  refreshHours: 24        # automatic sweep period (h)
  autoSync: true          # the automatic check at startup and on the timer
  modelsDevUrl: https://models.dev/api.json   # optional
  cachePath: ...          # optional catalog cache override
  sources:                # optional route -> models.dev provider id overrides
    my-gateway: opencode-go
    zai: zai-coding-plan  # GLM Coding Plan keys: models.dev's `zai` is the open platform

An edit applies live (the fields are volatile): the next sweep runs against the new values without restarting the plugin.

Scope: the llm-pi-ai family rows (settingsNs: llm-pi-ai) — the model shape this plugin writes (input, reasoningEfforts) is that family's schema. Other adapters (e.g. the DeepSeek one) declare different shapes and are left alone.

A bootstrap trace is kept in $DSH_HOME/plugins/dsh-models-dev/bootstrap.log (module import → apply → each step → failure stacks), because a deployment with no logger exporter would otherwise hide every failure behind a "Running" fiber.

Development

npm install
npm run verify      # syntax + unit tests + live smoke
npm run bootstrap   # replay the host composition against a stub ctx

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