ADVeRTs13/dsh-auto-model-router

ADVeRTs13★ 1JavaScript最后同步: 2026-08-20

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Auto model router for DeepSeek Harness: routes each user input to the best model through L0–L3 tiers, with cost modes, keyword scoring, and optional LLM classifier.

README 摘要

dsh-auto-model-router A hybrid auto model-router plugin for DeepSeek Harness (DSH). Routes each agent request through four capability levels (L0–L3) with three user-facing routing modes: a zero-latency heuristic lock (text-width thresholds), a fixed-level mode, and fully-auto mode (keyword scoring + optional LLM classifier). Failure fallback chains and budget control round it out. Design inspired by open-world-project/model-router (Hermes Agent) and opencode-model-router (fast/medium/heavy tiers): tiered routing plus a cost mode that decides the drift direction on ambiguity. Acknowledgements This plugin builds on ideas from the following open-source projects: - open-world-project/model-router — Hermes Agent's auto model-router with keyword scoring and cost-aware tier selection - opencode-model-router — OpenCode's fast/medium/heavy tier delegation plugin - openclaw-routing-yaml — OpenClaw's declarative per-task model routing via YAML - openmarkai/openclaw-router — Benchmark-driven model routing with real evaluation data - MoeAisaka/openclaw-model-policy-router — Policy-driven fail-closed model routing for OpenClaw - NanmiCoder/dsh-auto-mode — DSH's auto permission mode; inspired the…

在 GitHub 查看完整 README →
工具/开发dsh-pluginagent

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