dylan121322/llm-adaptive1

llm-adaptive

Adaptive model routing for DeepSeek Harness: per-request complexity classification with automatic provider routing.

AI 분석

核心用途是根据用户输入的复杂度(低/中/高/关键)自动分流并路由至最合适的模型。适合需要平衡响应速度、模型能力与 API 成本的用户。

패키지
llm-adaptive
버전
0.1.0
라이선스
MIT
최근 업데이트
2026. 8. 14.

설치

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dylan121322/llm-adaptive

Usage

  1. Open /model and choose adaptive(自动路由).
  2. Every subsequent LLM request is classified (low/medium/high/critical) and routed to the first available provider of that level's chain.
  3. Decisions are logged with level=… cause=… chain=… to ~/.dsh/hooks/plugin.log.

The explicit level models (low, medium, high, critical) are also listed in the picker for direct selection.