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clawrouter — how to use clawrouter how to use clawrouter, clawrouter setup guide, clawrouter alternative, clawrouter vs openai, clawrouter install, what is clawrouter, clawrouter smart routing, clawrouter inference costs, clawrouter wallet management

v1.0.0
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About this Skill

Perfect for Cost-Optimization Agents needing smart LLM routing capabilities to reduce inference costs. clawrouter is a smart LLM router that optimizes inference costs by dynamically routing requests to the most cost-effective model.

Features

Supports 41 models across 5 providers through one wallet
Enables smart routing with auto-picks cheapest model per request using openclaw models set blockrun/auto
Allows pinning a specific model using openclaw models set openai/gpt-4o
Installs via openclaw plugins install @blockrun/clawrouter
Handles x402 micropayments for flexible billing
Classifies each request into optimal model handling

# Core Topics

BlockRunAI BlockRunAI
[0]
[0]
Updated: 3/7/2026

Quality Score

Top 5%
36
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add BlockRunAI/ClawRouter/clawrouter

Agent Capability Analysis

The clawrouter MCP Server by BlockRunAI is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use clawrouter, clawrouter setup guide, clawrouter alternative.

Ideal Agent Persona

Perfect for Cost-Optimization Agents needing smart LLM routing capabilities to reduce inference costs.

Core Value

Empowers agents to route requests to the cheapest model across 41 models and 5 providers through one wallet, utilizing smart routing to save 67% on inference costs with libraries like openclaw.

Capabilities Granted for clawrouter MCP Server

Routing requests to the cheapest LLM model
Automating model selection for cost optimization
Integrating with multiple LLM providers through one wallet

! Prerequisites & Limits

  • Requires openclaw plugins installation
  • Limited to 41 supported models across 5 providers
Project
SKILL.md
1.4 KB
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1.2 KB
package.json
240 B
Ready
UTF-8

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ClawRouter

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

bash
1openclaw plugins install @blockrun/clawrouter

Setup

bash
1# Enable smart routing (auto-picks cheapest model per request) 2openclaw models set blockrun/auto 3 4# Or pin a specific model 5openclaw 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%

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