llm-router 6

A second brain for your DeepSeek Harness agent — strong-model review before risky tool calls, plus 75 models from one credential: a BlockRun API key, or a wallet paying per call over x402.

kimi-tide（月汐）— preset-and-rule model router for DeepSeek Harness（预设+规则驱动的逐步模型路由）：named presets with ordered image/keyword-group rules route each agent step across ANY mounted provider/model (candidate pool = full host catalog enumeration, no whitelist), w

Two-tier model router for DeepSeek Harness: an LLM Judge sends each turn to the cheap Fast chain or the Smart chain by expected cost, with multi-model fallback chains, exponential-backoff failover, cache-aware switching and task-level orchestration. A DSH

Automatic tier-based model routing for DeepSeek Harness: a virtual `smart` model classifies each request by difficulty (hard / normal / easy) and by vision need, then delegates it to the models you already configured. 三级难度 + 视觉自动路由，虚拟 smart 模型零配置接入。

DeepSeek Harness (dsh) plugin that registers Lynkr — a self-hosted, multi-provider LLM tier-routing gateway — as a custom OpenAI-compatible provider in settings.yaml.

Task-aware automatic model router (auto route) for the DeepSeek Harness: picks a backend model per request (vision / long-context / default) and falls back across configured models on clean pre-content failures.