icyaaaww/dsh-adaptive-model-router ↗★ 0
dsh-adaptive-model-router
Deterministic per-turn adaptive model routing for DeepSeek Harness
AI 분석
核心用途是根据输入字符长度、复杂度关键词、步骤数或工具失败情况，在不同模型（如 Flash 和 Pro）间自动切换路由。适合需要平衡推理成本与生成质量的自动化任务。
설치
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:icyaaaww/dsh-adaptive-model-routerConfiguration
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.