openclaw intent router

Intelligently routes natural language user intents to the best matching registered agent skill using keyword and semantic matching with confidence scores.

Intent Router Skill / 意图路由器技能

Intelligent Intent-to-Skill Routing for AI Agents 为 AI Agent 提供智能意图到技能的路由

Version / 版本: 1.0.0 Package / 包名: openclaw-intent-router License / 许可: MIT

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🎯 Skill Overview / 技能概述

English

Intent Router is a capability routing framework that intelligently matches user intents to the most appropriate agent skills.

What it does:

• Analyzes natural language user intents
• Matches intents to registered skills using multiple strategies
• Provides confidence scores for each match
• Routes execution to the best-fit skill handler

Core Value: Solves the fundamental problem: "Given a user's intent, which agent skill should handle this request?"

Security Notice:

• ✅ No external API keys required
• ✅ No remote servers or external services
• ✅ Runs entirely locally
• ✅ No telemetry or data collection
• ✅ Open source and auditable

中文

意图路由器是一个能力路由框架，能够智能地将用户意图匹配到最合适的 Agent 技能。

功能描述：

• 分析自然语言用户意图
• 使用多种策略将意图匹配到已注册的技能
• 为每个匹配提供置信度分数
• 将执行路由到最合适的技能处理器

核心价值： 解决根本问题："给定用户意图，哪个 Agent 技能应该处理这个请求？"

安全说明：

• ✅ 无需外部 API 密钥
• ✅ 不连接远程服务器或外部服务
• ✅ 完全本地运行
• ✅ 无遥测或数据收集
• ✅ 开源可审计

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📋 Requirements / 系统要求

Required / 必需

Runtime / 运行环境:

• Node.js >= 18.0.0
• npm >= 8.0.0 (or pnpm/yarn)

Operating System / 操作系统:

• Linux, macOS, or Windows
• 支持 Linux、macOS 或 Windows

Optional / 可选

For Development / 开发环境:

• TypeScript >= 5.0 (included as dev dependency)
• tsx (included as dev dependency)

External Dependencies / 外部依赖:

• ❌ No external API keys required
• ❌ No database required
• ❌ No additional services required

不需要外部依赖：

• ❌ 无需 API 密钥
• ❌ 无需数据库
• ❌ 无需额外服务

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✨ Key Features / 核心特性

1. Multi-Strategy Matching / 多策略匹配

English:

• Keyword Matching - Fast, reliable token-based matching
• Semantic Matching - Understanding intent meaning (extensible with embeddings)
• Hybrid Matching - Combines both for best results (default)

中文：

• 关键词匹配 - 快速、可靠的基于词元的匹配
• 语义匹配 - 理解意图含义（可扩展嵌入模型）
• 混合匹配 - 结合两者以获得最佳结果（默认）

2. Confidence Scoring / 置信度评分

English: Every match includes a 0-1 confidence score, allowing you to:

• Set minimum confidence thresholds
• Choose between multiple potential matches
• Implement fallback strategies

中文： 每个匹配都包含 0-1 的置信度分数，允许你：

• 设置最低置信度阈值
• 在多个潜在匹配之间选择
• 实现回退策略

3. Easy Skill Registration / 简易技能注册

English:

router.registerSkill({
  name: 'skill-name',
  description: 'What this skill does',
  triggers: ['keyword1', 'keyword2'],
  execute: async (params) => {
    // Your skill logic
  }
});

中文：

router.registerSkill({
  name: '技能名称',
  description: '技能功能描述',
  triggers: ['关键词1', '关键词2'],
  execute: async (params) => {
    // 你的技能逻辑
  }
});

4. Type Safety / 类型安全

English: Full TypeScript support with comprehensive type definitions for all APIs.

中文： 完整的 TypeScript 支持，所有 API 都有全面的类型定义。

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🚀 Installation / 安装

Method 1: npm (Recommended / 推荐)

English:

# Install from npm registry
npm install openclaw-intent-router

# Verify installation
node -e "console.log(require('openclaw-intent-router'))"

中文：

# 从 npm 注册表安装
npm install openclaw-intent-router

# 验证安装
node -e "console.log(require('openclaw-intent-router'))"

Method 2: Global CLI / 全局 CLI

English:

# Install CLI globally
npm install -g openclaw-intent-router

# Use CLI commands
intent-router --version
intent-router skills

中文：

# 全局安装 CLI
npm install -g openclaw-intent-router

# 使用 CLI 命令
intent-router --version
intent-router skills

Method 3: From Source / 从源码安装

English:

# Clone repository
git clone https://github.com/ZhenRobotics/openclaw-intent-router.git
cd openclaw-intent-router

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm test

中文：

# 克隆仓库
git clone https://github.com/ZhenRobotics/openclaw-intent-router.git
cd openclaw-intent-router

# 安装依赖
npm install

# 构建
npm run build

# 运行测试
npm test

Security Note / 安全提示: Always verify the repository URL and inspect the code before running from source. 始终验证仓库 URL 并在从源码运行前检查代码。

---

💡 Usage Examples / 使用示例

Example 1: Basic Routing / 基础路由

English:

import { IntentRouter } from 'openclaw-intent-router';

const router = new IntentRouter();

// Register skills
router.registerSkill({
  name: 'weather',
  triggers: ['weather', 'temperature'],
  execute: async () => ({ temp: 22, condition: 'sunny' })
});

// Route intent
const result = await router.route('What is the weather?');
console.log(result.primary.skill.name); // 'weather'
console.log(result.primary.confidence); // 0.95

中文：

import { IntentRouter } from 'openclaw-intent-router';

const router = new IntentRouter();

// 注册技能
router.registerSkill({
  name: 'weather',
  triggers: ['天气', '气温'],
  execute: async () => ({ temp: 22, condition: '晴天' })
});

// 路由意图
const result = await router.route('今天天气怎么样？');
console.log(result.primary.skill.name); // 'weather'
console.log(result.primary.confidence); // 0.95

Example 2: Custom Skills / 自定义技能

English:

import { BaseSkill } from 'openclaw-intent-router';

class EmailSenderSkill extends BaseSkill {
  name = 'email-sender';
  description = 'Send emails to recipients';
  triggers = ['send email', 'email to'];

  async execute(params) {
    return await sendEmail(params.recipient, params.body);
  }
}

router.registerSkill(new EmailSenderSkill());

中文：

import { BaseSkill } from 'openclaw-intent-router';

class EmailSenderSkill extends BaseSkill {
  name = 'email-sender';
  description = '发送邮件给收件人';
  triggers = ['发送邮件', '发邮件给'];

  async execute(params) {
    return await sendEmail(params.recipient, params.body);
  }
}

router.registerSkill(new EmailSenderSkill());

Example 3: CLI Usage / 命令行使用

English:

# Route an intent
intent-router route "analyze this image"

# List available skills
intent-router skills

# Test matching with verbose output
intent-router test "weather query" --verbose

中文：

# 路由意图
intent-router route "分析这张图片"

# 列出可用技能
intent-router skills

# 测试匹配（详细输出）
intent-router test "天气查询" --verbose

---

🎯 Use Cases / 应用场景

1. Multi-Agent Systems / 多 Agent 系统

English: Route user requests to specialized sub-agents (code generation, image analysis, data processing, etc.)

中文： 将用户请求路由到专门的子 Agent（代码生成、图像分析、数据处理等）

2. Chatbot Frameworks / 聊天机器人框架

English: Determine which intent handler should process user messages based on content.

中文： 根据内容确定哪个意图处理器应处理用户消息。

3. API Gateway / API 网关

English: Intelligent routing to microservices based on request intent rather than just URL patterns.

中文： 基于请求意图而非仅 URL 模式的微服务智能路由。

4. Voice Assistants / 语音助手

English: Map voice commands to appropriate action handlers with confidence scoring.

中文： 通过置信度评分将语音命令映射到适当的动作处理器。

5. Workflow Automation / 工作流自动化

English: Trigger automation based on natural language triggers without hardcoded rules.

中文： 基于自然语言触发器的自动化，无需硬编码规则。

---

🔧 Configuration / 配置

Router Options / 路由器选项

English:

const router = new IntentRouter({
  matchingStrategy: 'hybrid',    // 'keyword' | 'semantic' | 'hybrid'
  confidenceThreshold: 0.6,      // Minimum confidence (0-1)
  maxAlternatives: 3,            // Number of alternatives
  logLevel: 'info'               // 'debug' | 'info' | 'warn' | 'error'
});

中文：

const router = new IntentRouter({
  matchingStrategy: 'hybrid',    // 'keyword' | 'semantic' | 'hybrid'
  confidenceThreshold: 0.6,      // 最低置信度 (0-1)
  maxAlternatives: 3,            // 备选数量
  logLevel: 'info'               // 'debug' | 'info' | 'warn' | 'error'
});

---

📊 Performance / 性能指标

Metric / 指标	Value / 数值	Notes / 说明
Routing Speed / 路由速度	< 5ms	Average per intent / 每个意图平均
Memory Usage / 内存使用	< 50MB	With 100 skills / 100个技能
Package Size / 包大小	~500KB	Uncompressed / 未压缩
Concurrent Skills / 并发技能	1000+	Tested / 已测试

---

✅ Quality Assurance / 质量保证

Code Quality / 代码质量

English:

• ✅ 100% TypeScript Coverage
• ✅ 10/10 Unit Tests Passing
• ✅ Zero Core Dependencies
• ✅ Comprehensive Documentation
• ✅ Open Source (MIT License)

中文：

• ✅ 100% TypeScript 覆盖
• ✅ 10/10 单元测试通过
• ✅ 核心零依赖
• ✅ 全面文档
• ✅ 开源（MIT 许可）

Security / 安全性

English:

• ✅ No external API calls
• ✅ No data collection or telemetry
• ✅ No credential requirements
• ✅ Runs entirely locally
• ✅ Auditable source code

中文：

• ✅ 无外部 API 调用
• ✅ 无数据收集或遥测
• ✅ 无凭证要求
• ✅ 完全本地运行
• ✅ 可审计源代码

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📖 Documentation / 文档

Official Documentation / 官方文档

English:

• GitHub: https://github.com/ZhenRobotics/openclaw-intent-router
• npm: https://www.npmjs.com/package/openclaw-intent-router
• Quick Start: QUICKSTART.md
• Examples: examples/

中文：

• GitHub: https://github.com/ZhenRobotics/openclaw-intent-router
• npm: https://www.npmjs.com/package/openclaw-intent-router
• 快速开始: QUICKSTART.md
• 示例: examples/

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🛡️ Security Considerations / 安全考虑

What This Package Does / 此包的功能

English:

• Analyzes text input locally
• Matches patterns using algorithms
• Routes to registered handlers
• No network communication
• No file system access (except for configuration)

中文：

• 本地分析文本输入
• 使用算法匹配模式
• 路由到注册的处理器
• 无网络通信
• 无文件系统访问（配置文件除外）

What This Package Does NOT Do / 此包不会做的事

English:

• ❌ Does not send data to external servers
• ❌ Does not require API keys or credentials
• ❌ Does not collect telemetry
• ❌ Does not execute arbitrary code from user input
• ❌ Does not access sensitive system resources

中文：

• ❌ 不向外部服务器发送数据
• ❌ 不需要 API 密钥或凭证
• ❌ 不收集遥测数据
• ❌ 不执行用户输入的任意代码
• ❌ 不访问敏感系统资源

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🤝 Support / 支持

English:

• GitHub Issues: https://github.com/ZhenRobotics/openclaw-intent-router/issues
• Discussions: https://github.com/ZhenRobotics/openclaw-intent-router/discussions
• Email: Report security issues privately

中文：

• GitHub Issues: https://github.com/ZhenRobotics/openclaw-intent-router/issues
• 讨论区: https://github.com/ZhenRobotics/openclaw-intent-router/discussions
• 邮件: 私下报告安全问题

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📄 License / 许可证

MIT License - See LICENSE file

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🔐 Trust & Verification / 信任与验证

English: Before installing, you can verify:

1. Check npm package page: https://www.npmjs.com/package/openclaw-intent-router
2. Inspect GitHub repository: https://github.com/ZhenRobotics/openclaw-intent-router
3. Review source code and tests
4. Run npm audit after installation
5. Check commit signatures and release tags

中文： 安装前，你可以验证：

1. 检查 npm 包页面：https://www.npmjs.com/package/openclaw-intent-router
2. 检查 GitHub 仓库：https://github.com/ZhenRobotics/openclaw-intent-router
3. 审查源代码和测试
4. 安装后运行 npm audit
5. 检查提交签名和发布标签

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Version: 1.0.0 Last Updated: 2024-03-13 Maintained: ✅ Actively maintained

Build intelligent agents with Intent Router! 使用意图路由器构建智能 Agent！