Does the routing process add significant latency?

Most requests are handled by rule-based classification in under 1ms, ensuring your workflow remains fast while saving you money.

How does ClawRouter reduce AI inference costs?

ClawRouter classifies every incoming request by complexity and routes it to the most affordable model capable of handling that task, saving an average of 67% on total costs.

Which LLM providers are supported by ClawRouter?

It supports 41 models from five top-tier providers: OpenAI, Anthropic, Google, DeepSeek, and xAI.

Will using ClawRouter affect the quality of my results?

No. ClawRouter is designed to ensure that complex reasoning and coding tasks are still handled by top-tier models like Claude Opus or o1, while only offloading simple tasks to cheaper models.

How do I start using ClawRouter with Claude Code?

Install the plugin via openclaw and use the command 'openclaw models set blockrun/auto' to enable the smart routing engine.

ClawRouter

Name: ClawRouter
Author: openclaw

byopenclaw

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2,504

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Data Science & ML

Optimizes AI inference spending by intelligently routing requests to the most cost-effective model across five major providers.

ClawRouter is a sophisticated LLM routing engine designed to reduce inference costs by up to 67% without compromising performance. It automatically analyzes every request and assigns it to one of four complexity tiers—Simple, Medium, Complex, or Reasoning—ensuring that expensive models like Claude Opus are only used for high-stakes tasks while basic queries are handled by ultra-affordable alternatives like Gemini Flash. By consolidating 41 models from OpenAI, Anthropic, Google, DeepSeek, and xAI into a single workflow, it provides developers with a seamless way to scale AI operations while maintaining strict budget control.

Key Features

01Unified access to 41 models from 5 major LLM providers

02Detailed cost-savings reporting per request

03Intelligent four-tier request classification (Simple, Medium, Complex, Reasoning)

04High-speed rule-based routing with sub-millisecond latency

05Automated 'blockrun/auto' mode for hands-free optimization

062,504 GitHub stars

Use Cases

01Optimizing multi-model development workflows without manual model switching

02Consolidating various AI provider billing into a single management interface

03Scaling production-grade AI applications while minimizing monthly API overhead

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add openclaw/skills 1bcmax

For use in Claude.ai and ChatGPT

Download Skill