ClawRouter

SkillAI & models

Smart LLM router — save 67% on inference costs. Routes every request to the cheapest capable model across 41 models from OpenAI, Anthropic, Google, DeepSeek, and xAI.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the ClawRouter skill

What this skill tells your AI

The instructions your AI receives, as published by aaaaqwq/agi-super-team in skills/clawrouter/SKILL.md and read by ahel’s review.

Smart LLM router that saves 67% on inference costs by routing each request to the cheapest model that can handle it. 41 models across 5 providers, all through one wallet.

Install

openclaw plugins install @blockrun/clawrouter

Setup

# Enable smart routing (auto-picks cheapest model per request)
openclaw models set blockrun/auto

# Or pin a specific model
openclaw models set openai/gpt-4o

How Routing Works

ClawRouter classifies each request into one of four tiers:

  • SIMPLE (40% of traffic) — factual lookups, greetings, translations → Gemini Flash ($0.60/M, 99% savings)
  • MEDIUM (30%) — summaries, explanations, data extraction → DeepSeek Chat ($0.42/M, 99% savings)
  • COMPLEX (20%) — code generation, multi-step analysis → Claude Opus ($75/M, best quality)
  • REASONING (10%) — proofs, formal logic, multi-step math → o3 ($8/M, 89% savings)

Rules handle 80% of requests in <1ms. Only ambiguous queries hit the LLM classifier ($0.00003 per classification).

Available Models

41 models including: gpt-5.2, gpt-4o, gpt-4o-mini, o3, o1, claude-opus-4.6, claude-sonnet-4.6, claude-haiku-4.5, gemini-3.1-pro, gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite, deepseek-chat, deepseek-reasoner, grok-3, grok-3-mini.

Example Output

[ClawRouter] google/gemini-2.5-flash (SIMPLE, rules, confidence=0.92)
             Cost: $0.0025 | Baseline: $0.308 | Saved: 99.2%

Signals

GitHub stars
92
Forks
23
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
clawrouter
Source
github.com/aaaaqwq/agi-super-team