dsh-adaptive-model-router
DeepSeek Harness 的确定性逐轮自适应模型路由
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:icyaaaww/dsh-adaptive-model-router#45f78f7b679edb9dea1d396cb429cadebaa9e5eaAdaptive Model Router 以 dsh-adaptive-model-router 发布，当前版本为 0.1.0。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。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →Deterministic per-turn adaptive model routing for DeepSeek Harness. Simple work uses an economy model; complex work and turns that stop making progress upgrade to a quality model.
The router does not call another model to classify the request. Routing is local, synchronous, reproducible, and adds no tokens or provider requests.
The package targets and has been composed against DeepSeek Harness 0.1.1-rc.2.
dsh plugin --profile web add github:icyaaaww/dsh-adaptive-model-router
The package ships runnable ESM JavaScript, so a GitHub installation requires no prepare build or pnpm build-script allowance.
For this local checkout, run from its parent directory:
dsh plugin --profile web add ./dsh-adaptive-model-router
The included bundle defaults to DeepSeek Flash and Pro:
- id: adaptive-model-router
name: dsh-adaptive-model-router
config:
economy:
provider: deepseek-official
model: deepseek-v4-flash
quality:
provider: deepseek-official
model: deepseek-v4-pro
inputCharsThreshold: 1200
complexityKeywords: [architecture, migration, security, 架构, 迁移, 安全]
upgradeAfterStep: 2
upgradeAfterToolFailures: 1
failureExclude: [todo_write, job_output, job_list]
preserveUnknownSelection: true
Each route also accepts optional reasoningEffort and maxTokens. A selected route without reasoningEffort clears the previous model's effort so the selected adapter can apply its own default; an omitted route maxTokens preserves an explicit request limit. Temperature, stop sequences, and every other request field remain unchanged.
At the first admitted step of each turn, the router selects Quality when the entering text reaches inputCharsThreshold or contains a configured case-insensitive keyword. Otherwise it selects Economy.
Within that turn routing has hysteresis: it may upgrade to Quality but never downgrade. It upgrades when either condition is met:
upgradeAfterStep.upgradeAfterToolFailures.A successful tracked tool resets only the failure counter; it does not downgrade a turn already upgraded. A new turn starts a fresh decision and may return to Economy.
With preserveUnknownSelection: true, requests currently targeting neither configured route pass through unchanged. This keeps an explicit user selection, another provider, or a specialized vision model from being silently replaced. Set it to false only when this plugin should own every conversation request.
The router changes the logged request configuration and keeps the system prompt's provider and model template variables aligned with that route. It injects no prompt, tool, message, or hidden model-visible instruction. Existing request/header records make every route change durable and visible to replay, telemetry, and clients.
The plugin itself adds zero tokens. Savings depend on how many requests move to the economy route and provider pricing.
Changing provider or model starts a different provider cache identity. Per-turn hysteresis prevents oscillation inside one turn, while a new user turn may deliberately select a different route.
npm test