infosave2007/cortiq-router
infosave2007★ 1JavaScript最后同步: 2026-08-21
Smart LLM request router for DeepSeek Harness — classifies prompts by task type and complexity via the allaigate semantic router, then dispatches to the best-suited model
README 摘要
Cortiq Router Smart LLM request router for the DeepSeek Harness. Every prompt is classified by task and difficulty, then answered by the model that fits it. English · Русский · 中文 What it does You stop choosing a model. The plugin reads each prompt, asks the allaigate semantic router what kind of task it is and how hard it is, and sends the call to the model your rules name for that combination. Your prompt Router says Answered by "Привет, как дела?" chitchat , low a fast, cheap model "Translate to French: Hello world" translation , low a fast, cheap model "Write a Python one-liner that reverses a string" code , low a fast, cheap model "Design a lock-free MPMC queue in Rust and prove linearizability" code , high your strongest model Simple work stops paying premium prices, hard work stops being answered by a model that cannot do it. Install No global dsh ? Use npx -p @deepseek-ai/dsh dsh plugin --profile web add cortiq-dsh-llm-router . One prerequisite. The router picks among the models your other provider plugins already serve — llm-deepseek , llm-pi-ai , or any other registered provider. Keep at least one configured: this plugin never talks to a model vendor itself, it only decid…
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