OpenClaw

clawrouter

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.

1bcmax0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install 1bcmax/clawrouter

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

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%

来源信息

Source: github
Repository: openclaw/skills
Path: skills/1bcmax/clawrouter
Version: —
Commit: 76b3724f9ee4533520abaabf56bc27bdccc8c300
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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
openclaw plugins install @blockrun/clawrouter
```

## Setup

```bash
# 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%
```

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