简介

​TEN Framework​ 是一个全面的开源生态系统，用于创建、定制和部署具有多模态功能（包括语音、视觉和虚拟形象交互）的实时对话式AI代理。它提供了完整的工具链和框架，使开发者能够构建先进的对话AI系统。

🔗 ​GitHub地址​：

https://github.com/TEN-framework/ten-framework

🚀 ​核心价值​：

实时对话AI · 多模态支持 · 语音交互 · 开源框架 · 生产就绪

​项目背景​：

• ​技术需求​：满足实时对话AI的复杂需求

• ​多模态挑战​：解决多模态交互的技术难题

• ​开源精神​：开源社区驱动的AI框架开发

• ​生产部署​：生产环境就绪的解决方案

• ​生态建设​：完整的工具生态系统

​项目特色​：

• 🎤 ​实时语音​：实时语音对话能力

• 👁️ ​视觉交互​：视觉多模态交互支持

• 🤖 ​AI虚拟形象​：AI虚拟形象交互

• ⚡ ​低延迟​：超低延迟实时交互

• 🆓 ​完全开源​：代码完全开源

​技术亮点​：

• ​全双工通信​：真正的全双工对话通信

• ​语音活动检测​：高性能语音活动检测

• ​多模态融合​：语音和视觉多模态融合

• ​硬件集成​：硬件设备集成支持

• ​扩展架构​：可扩展的插件架构

---

主要功能

1. ​核心功能体系​

TEN Framework提供了一套完整的对话式AI解决方案，涵盖语音处理、视觉交互、AI代理、多模态融合、部署管理等多个方面。

​语音处理功能​：

语音识别:
- 实时ASR: 实时语音识别
- 多语言支持: 多语言语音识别
- 噪声抑制: 背景噪声抑制
- 语音增强: 语音质量增强
- 流式处理: 流式语音处理

语音合成:
- 实时TTS: 实时语音合成
- 情感语音: 情感语音合成
- 多音色: 多种音色选择
- 高质量: 高质量语音输出
- 参数调节: 语音参数调节

语音检测:
- VAD检测: 语音活动检测
- 端点检测: 语音端点检测
- 情绪检测: 语音情绪检测
- 说话人分离: 多说话人分离
- 实时分析: 实时语音分析

​视觉交互功能​：

视觉处理:
- 实时视觉: 实时视觉处理
- 图像识别: 图像内容识别
- 视频分析: 视频流分析
- 屏幕共享: 屏幕共享检测
- 多模态理解: 多模态内容理解

虚拟形象:
- 虚拟形象: AI虚拟形象支持
- 表情生成: 实时表情生成
- 唇形同步: 唇形同步技术
- 动作控制: 身体动作控制
- 情感表达: 情感表达支持

交互能力:
- 手势识别: 手势识别交互
- 视线跟踪: 视线跟踪技术
- 环境感知: 环境感知能力
- 实时渲染: 实时形象渲染
- 个性化: 个性化形象定制

​AI代理功能​：

对话管理:
- 对话状态: 对话状态管理
- 上下文理解: 多轮对话上下文
- 意图识别: 用户意图识别
- 情感理解: 用户情感理解
- 个性化: 个性化对话体验

模型集成:
- 多模型支持: 多种LLM模型集成
- 模型切换: 动态模型切换
- 性能优化: 模型性能优化
- 成本控制: 使用成本控制
- 扩展集成: 扩展模型集成

能力扩展:
- 工具使用: 外部工具使用能力
- 知识检索: 知识检索能力
- 任务执行: 任务执行能力
- 多模态推理: 多模态推理能力
- 自主学习: 自主学习能力

​多模态融合功能​：

融合架构:
- 特征融合: 多模态特征融合
- 注意力机制: 跨模态注意力
- 时序对齐: 时序信息对齐
- 语义对齐: 语义空间对齐
- 联合优化: 多模态联合优化

交互模式:
- 语音优先: 语音主导交互
- 视觉增强: 视觉增强交互
- 混合模式: 混合交互模式
- 情境适应: 情境自适应交互
- 无缝切换: 无缝模式切换

处理流水线:
- 并行处理: 多模态并行处理
- 流水线优化: 处理流水线优化
- 资源管理: 计算资源管理
- 延迟优化: 端到端延迟优化
- 质量保证: 输出质量保证

​部署管理功能​：

部署选项:
- 本地部署: 本地服务器部署
- 云端部署: 云端服务部署
- 边缘部署: 边缘设备部署
- 混合部署: 混合部署模式
- 容器化: Docker容器部署

管理工具:
- TMAN设计器: 可视化设计工具
- 监控系统: 系统监控管理
- 日志管理: 详细日志管理
- 性能分析: 性能分析工具
- 配置管理: 配置管理系统

扩展能力:
- 插件系统: 插件扩展架构
- API集成: RESTful API集成
- SDK支持: 开发SDK支持
- 自定义扩展: 自定义功能扩展
- 生态集成: 生态系统集成

2. ​高级功能​

​实时通信功能​：

通信协议:
- WebRTC支持: WebRTC实时通信
- 低延迟: 超低延迟通信
- 高可靠性: 高可靠通信保障
- 网络适应: 网络自适应调整
- 质量监控: 通信质量监控

硬件集成:
- ESP32支持: ESP32硬件集成
- 嵌入式设备: 嵌入式设备支持
- 传感器集成: 传感器数据集成
- 硬件加速: 硬件加速支持
- IoT集成: IoT设备集成

服务质量:
- QoS保障: 服务质量保障
- 带宽优化: 带宽使用优化
- 抗丢包: 抗丢包技术
- 回声消除: 回声消除技术
- 自动增益: 自动增益控制

​开发工具功能​：

开发环境:
- 本地开发: 本地开发环境
- 云开发: 云开发环境支持
- 调试工具: 高级调试工具
- 测试框架: 自动化测试框架
- 性能分析: 性能分析工具

可视化工具:
- TMAN设计器: 可视化代理设计
- 流程编辑: 流程图编辑器
- 实时预览: 实时效果预览
- 日志查看: 日志查看器
- 状态监控: 状态监控界面

集成开发:
- IDE集成: 开发环境集成
- CLI工具: 命令行工具
- API文档: 完整API文档
- 示例代码: 丰富示例代码
- 模板项目: 项目模板支持

​生态系统功能​：

核心组件:
- TEN框架: 核心框架组件
- TEN代理: AI代理实现
- TEN VAD: 语音活动检测
- TMAN设计器: 可视化设计工具
- TEN门户: 文档和社区门户

扩展组件:
- MCP集成: 模型控制协议集成
- 硬件SDK: 硬件开发SDK
- 云服务: 云服务集成
- 移动端: 移动端SDK
- Web组件: Web组件库

社区资源:
- 文档Wiki: 详细技术文档
- 示例项目: 示例项目库
- 插件市场: 插件市场
- 社区论坛: 社区讨论论坛
- 贡献指南: 贡献者指南

---

安装与配置

1. ​环境准备​

​系统要求​：

硬件要求:
- CPU: 多核处理器 (推荐4核+)
- 内存: 4GB+ RAM (推荐8GB)
- 存储: 10GB+ 可用空间
- 网络: 稳定网络连接
- 可选GPU: NVIDIA GPU (加速)

软件要求:
- 操作系统: Linux, macOS, Windows
- Docker: Docker和Docker Compose
- Node.js: 18+ LTS版本
- Python: 3.8+ 版本
- Git: 版本控制工具

服务要求:
- Agora账号: Agora App ID和证书
- OpenAI API: OpenAI API密钥
- Deepgram ASR: Deepgram语音识别
- ElevenLabs TTS: ElevenLabs语音合成

2. ​安装步骤​

​Docker安装​：

# 克隆仓库
git clone https://github.com/TEN-framework/ten-framework.git
cd ten-framework

# 进入AI代理目录
cd ai_agents

# 复制环境文件
cp .env.example .env

# 配置环境变量
# 编辑.env文件添加API密钥
AGORA_APP_ID=your_agora_app_id
AGORA_APP_CERTIFICATE=your_agora_certificate
OPENAI_API_KEY=your_openai_key
DEEPGRAM_API_KEY=your_deepgram_key
ELEVENLABS_API_KEY=your_elevenlabs_key

# 启动开发容器
docker compose up -d

# 进入容器
docker exec -it ten_agent_dev bash

# 构建代理（5-8分钟）
# 使用链式语音助手
AGENT=voice-assistant
# 或使用实时语音助手
AGENT=voice-assistant-realtime

# 构建和运行
task build
task run

​本地开发安装​：

# 安装依赖
npm install

# 或使用Bun
bun install

# 设置环境变量
export AGORA_APP_ID=your_app_id
export OPENAI_API_KEY=your_openai_key

# 构建项目
npm run build

# 启动开发服务器
npm run dev

# 或使用任务运行
task dev

​Codespace开发​：

# 使用GitHub Codespace
# 1. 访问GitHub仓库
# 2. 点击Code → Codespaces
# 3. 创建新的Codespace
# 4. 自动设置环境

# Codespace中运行
task codespace-setup
task dev

3. ​配置说明​

​环境配置​：

# .env 配置文件示例
# Agora配置
AGORA_APP_ID=your_agora_app_id
AGORA_APP_CERTIFICATE=your_agora_certificate

# AI服务配置
OPENAI_API_KEY=your_openai_api_key
DEEPGRAM_API_KEY=your_deepgram_key
ELEVENLABS_API_KEY=your_elevenlabs_key
ANTHROPIC_API_KEY=your_anthropic_key
GROQ_API_KEY=your_groq_key

# 服务配置
PORT=3000
NODE_ENV=development
LOG_LEVEL=info

# 数据库配置
REDIS_URL=redis://localhost:6379
DATABASE_URL=postgresql://user:pass@localhost:5432/ten

# 功能开关
ENABLE_VISION=true
ENABLE_AVATAR=true
ENABLE_HARDWARE=true

​代理配置​：

// agent.config.js
export const agentConfig = {
  // 语音配置
  speech: {
    asr: {
      provider: 'deepgram',
      model: 'nova',
      language: 'en-US',
      interimResults: true
    },
    tts: {
      provider: 'elevenlabs',
      model: 'eleven_monolingual_v1',
      voiceId: '21m00Tcm4TlvDq8ikWAM'
    },
    vad: {
      enabled: true,
      sensitivity: 0.7,
      timeout: 2000
    }
  },

  // AI模型配置
  ai: {
    provider: 'openai',
    model: 'gpt-4-turbo',
    temperature: 0.7,
    maxTokens: 1000,
    fallback: ['anthropic', 'groq']
  },

  // 视觉配置
  vision: {
    enabled: true,
    providers: ['google-gemini', 'openai-vision'],
    realtime: true,
    screenshare: true
  },

  // 虚拟形象配置
  avatar: {
    enabled: true,
    provider: 'trulience',
    expressiveness: 'high',
    lipSync: true
  },

  // 硬件配置
  hardware: {
    esp32: {
      enabled: true,
      model: 'ESP32-S3-Korvo-V3'
    }
  }
};

​部署配置​：

# docker-compose.prod.yml
version: '3.8'
services:
  ten-agent:
    build: .
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - AGORA_APP_ID=${AGORA_APP_ID}
      - OPENAI_API_KEY=${OPENAI_API_KEY}
    volumes:
      - ./logs:/app/logs
    restart: unless-stopped

  redis:
    image: redis:alpine
    ports:
      - "6379:6379"
    restart: unless-stopped

  # 监控服务
  monitoring:
    image: grafana/grafana
    ports:
      - "3001:3000"
    depends_on:
      - ten-agent

---

使用指南

1. ​基本工作流​

使用TEN Framework的基本流程包括：环境准备 → 服务部署 → 代理配置 → 功能测试 → 部署上线。整个过程设计为简单高效，用户可以通过命令行或可视化工具轻松使用。

2. ​基本使用​

​命令行使用​：

# 启动开发环境
docker compose up -d

# 进入开发容器
docker exec -it ten_agent_dev bash

# 构建特定代理
AGENT=voice-assistant task build
AGENT=voice-assistant-realtime task build

# 运行代理
task run

# 监控日志
docker logs -f ten_agent_dev

# 使用TMAN设计器
# 访问 http://localhost:3000/designer

# 使用Playground测试
# 访问 http://localhost:3000/playground

​TMAN设计器使用​：

# 启动设计器
npm run designer

# 或通过Docker
docker compose up designer

# 访问设计器
# http://localhost:3001

# 设计器功能：
# 1. 拖拽组件创建流程
# 2. 配置组件属性
# 3. 实时预览效果
# 4. 导出配置部署

​API使用示例​：

import { TENClient } from 'ten-framework';

// 创建TEN客户端
const client = new TENClient({
  baseURL: 'http://localhost:3000',
  apiKey: process.env.TEN_API_KEY
});

// 启动语音会话
async function startVoiceSession() {
  const session = await client.sessions.create({
    type: 'voice',
    options: {
      language: 'en-US',
      enableVision: true,
      enableAvatar: true
    }
  });
  
  console.log('会话ID:', session.id);
  return session;
}

// 发送语音输入
async function sendVoiceInput(sessionId, audioData) {
  const response = await client.sessions.sendInput(sessionId, {
    type: 'audio',
    data: audioData,
    options: {
      realtime: true,
      interimResults: true
    }
  });
  
  return response;
}

// 处理视觉输入
async function sendVisualInput(sessionId, imageData) {
  const response = await client.sessions.sendInput(sessionId, {
    type: 'image',
    data: imageData,
    options: {
      analysis: 'detailed'
    }
  });
  
  return response;
}

// 获取会话状态
async function getSessionStatus(sessionId) {
  const status = await client.sessions.getStatus(sessionId);
  return status;
}

// 关闭会话
async function closeSession(sessionId) {
  await client.sessions.close(sessionId);
  console.log('会话已关闭');
}

​硬件集成示例​：

// ESP32集成示例
import { ESP32Hardware } from 'ten-framework/hardware';

class ESP32Integration {
  constructor() {
    this.hardware = new ESP32Hardware({
      deviceId: 'esp32-korvo-v3',
      baudRate: 115200,
      reconnect: true
    });
  }
  
  async initialize() {
    // 连接硬件
    await this.hardware.connect();
    
    // 设置事件监听
    this.hardware.on('audioData', (data) => {
      this.handleAudioInput(data);
    });
    
    this.hardware.on('sensorData', (data) => {
      this.handleSensorInput(data);
    });
    
    this.hardware.on('connected', () => {
      console.log('ESP32连接成功');
    });
    
    this.hardware.on('error', (error) => {
      console.error('硬件错误:', error);
    });
  }
  
  async handleAudioInput(audioData) {
    // 处理音频输入
    const session = await this.getOrCreateSession();
    const response = await sendVoiceInput(session.id, audioData);
    
    // 播放响应音频
    if (response.audio) {
      await this.hardware.playAudio(response.audio);
    }
  }
  
  async handleSensorInput(sensorData) {
    // 处理传感器数据
    console.log('传感器数据:', sensorData);
    
    // 根据传感器数据调整行为
    if (sensorData.motion > 0.5) {
      await this.hardware.triggerFeedback('vibration');
    }
  }
  
  async getOrCreateSession() {
    if (!this.currentSession) {
      this.currentSession = await startVoiceSession();
    }
    return this.currentSession;
  }
}

// 使用示例
const esp32 = new ESP32Integration();
await esp32.initialize();

3. ​高级用法​

​自定义代理开发​：

import { BaseAgent, SpeechModule, VisionModule, AIModule } from 'ten-framework/core';

class CustomAgent extends BaseAgent {
  constructor(config) {
    super(config);
    
    // 初始化模块
    this.speech = new SpeechModule(config.speech);
    this.vision = new VisionModule(config.vision);
    this.ai = new AIModule(config.ai);
    
    // 自定义处理管道
    this.setupProcessingPipeline();
  }
  
  setupProcessingPipeline() {
    // 语音处理管道
    this.speech.on('transcript', (transcript) => {
      this.handleTranscript(transcript);
    });
    
    this.speech.on('vadStart', () => {
      this.handleVoiceStart();
    });
    
    this.speech.on('vadEnd', () => {
      this.handleVoiceEnd();
    });
    
    // 视觉处理管道
    this.vision.on('detection', (detection) => {
      this.handleVisualDetection(detection);
    });
    
    // AI响应管道
    this.ai.on('response', (response) => {
      this.handleAIResponse(response);
    });
  }
  
  async handleTranscript(transcript) {
    // 处理语音转录
    const context = await this.getContext();
    const enhancedInput = await this.ai.enhanceInput(transcript, context);
    
    // 生成响应
    const response = await this.ai.generateResponse(enhancedInput);
    await this.speech.synthesize(response);
  }
  
  async handleVisualDetection(detection) {
    // 处理视觉检测
    if (detection.type === 'face') {
      const emotion = detection.emotion;
      await this.ai.adjustTone(emotion);
    }
    
    if (detection.type === 'object') {
      await this.ai.addContext(`我看到: ${detection.label}`);
    }
  }
  
  async handleAIResponse(response) {
    // 处理AI响应
    if (response.audio) {
      await this.speech.playAudio(response.audio);
    }
    
    if (response.visual) {
      await this.vision.displayVisual(response.visual);
    }
    
    if (response.action) {
      await this.executeAction(response.action);
    }
  }
  
  async executeAction(action) {
    // 执行动作
    switch (action.type) {
      case 'api_call':
        return this.callAPI(action.endpoint, action.data);
      case 'hardware_control':
        return this.controlHardware(action.device, action.command);
      case 'database_query':
        return this.queryDatabase(action.query);
      default:
        console.warn('未知动作类型:', action.type);
    }
  }
}

// 使用自定义代理
const customAgent = new CustomAgent({
  speech: {
    asr: { provider: 'deepgram' },
    tts: { provider: 'elevenlabs' },
    vad: { enabled: true }
  },
  vision: {
    enabled: true,
    providers: ['google-gemini']
  },
  ai: {
    provider: 'openai',
    model: 'gpt-4-turbo'
  }
});

await customAgent.start();

​MCP服务器集成​：

import { MCPServer } from 'ten-framework/mcp';

class CustomMCPServer extends MCPServer {
  constructor() {
    super({
      name: 'custom-tools',
      version: '1.0.0',
      capabilities: ['tools']
    });
    
    this.setupTools();
  }
  
  setupTools() {
    // 注册自定义工具
    this.registerTool('weather', {
      description: '获取天气信息',
      parameters: {
        location: { type: 'string', description: '地点名称' },
        unit: { type: 'string', enum: ['celsius', 'fahrenheit'], default: 'celsius' }
      },
      execute: async ({ location, unit }) => {
        return this.getWeather(location, unit);
      }
    });
    
    this.registerTool('calculator', {
      description: '数学计算器',
      parameters: {
        expression: { type: 'string', description: '数学表达式' }
      },
      execute: async ({ expression }) => {
        return this.evaluateExpression(expression);
      }
    });
    
    this.registerTool('web_search', {
      description: '网络搜索',
      parameters: {
        query: { type: 'string', description: '搜索查询' },
        limit: { type: 'number', default: 5 }
      },
      execute: async ({ query, limit }) => {
        return this.searchWeb(query, limit);
      }
    });
  }
  
  async getWeather(location, unit) {
    // 实现天气查询逻辑
    const response = await fetch(`https://api.weather.com/${location}?unit=${unit}`);
    const data = await response.json();
    return data;
  }
  
  evaluateExpression(expression) {
    // 实现数学计算
    try {
      const result = eval(expression);
      return { result, error: null };
    } catch (error) {
      return { result: null, error: error.message };
    }
  }
  
  async searchWeb(query, limit) {
    // 实现网络搜索
    const response = await fetch(`https://api.search.com/?q=${encodeURIComponent(query)}&limit=${limit}`);
    const results = await response.json();
    return results;
  }
}

// 启动MCP服务器
const server = new CustomMCPServer();
server.start(3002).then(() => {
  console.log('MCP服务器运行在端口 3002');
});

​多模态处理管道​：

import { MultiModalProcessor } from 'ten-framework/processing';

class AdvancedProcessor extends MultiModalProcessor {
  constructor() {
    super({
      modalities: ['audio', 'text', 'image', 'video'],
      fusionMethod: 'attention',
      realtime: true
    });
  }
  
  async processInput(input) {
    // 多模态输入处理
    const features = {};
    
    // 并行处理不同模态
    if (input.audio) {
      features.audio = await this.extractAudioFeatures(input.audio);
    }
    
    if (input.text) {
      features.text = await this.extractTextFeatures(input.text);
    }
    
    if (input.image) {
      features.visual = await this.extractVisualFeatures(input.image);
    }
    
    if (input.video) {
      features.temporal = await this.extractTemporalFeatures(input.video);
    }
    
    // 多模态融合
    const fusedFeatures = await this.fuseModalities(features);
    
    // 上下文增强
    const enhanced = await this.enhanceWithContext(fusedFeatures);
    
    return enhanced;
  }
  
  async extractAudioFeatures(audioData) {
    // 音频特征提取
    const asrResult = await this.speech.recognize(audioData);
    const emotion = await this.speech.analyzeEmotion(audioData);
    const speaker = await this.speech.identifySpeaker(audioData);
    
    return {
      transcript: asrResult.text,
      confidence: asrResult.confidence,
      emotion,
      speaker
    };
  }
  
  async extractTextFeatures(text) {
    // 文本特征提取
    const embedding = await this.ai.embedText(text);
    const entities = await this.ai.extractEntities(text);
    const sentiment = await this.ai.analyzeSentiment(text);
    
    return {
      embedding,
      entities,
      sentiment,
      length: text.length
    };
  }
  
  async extractVisualFeatures(imageData) {
    // 视觉特征提取
    const objects = await this.vision.detectObjects(imageData);
    const faces = await this.vision.detectFaces(imageData);
    const scene = await this.vision.analyzeScene(imageData);
    
    return {
      objects,
      faces,
      scene,
      dominantColors: await this.vision.extractColors(imageData)
    };
  }
  
  async fuseModalities(features) {
    // 多模态特征融合
    const fused = {};
    
    // 基于注意力的融合
    if (features.text && features.audio) {
      fused.textAudio = await this.fuseTextAudio(
        features.text, 
        features.audio
      );
    }
    
    if (features.visual && features.text) {
      fused.visualText = await this.fuseVisualText(
        features.visual,
        features.text
      );
    }
    
    // 时间序列融合（如果有视频）
    if (features.temporal) {
      fused.temporal = await this.fuseTemporal(features.temporal);
    }
    
    return fused;
  }
}

// 使用多模态处理器
const processor = new AdvancedProcessor();

// 处理多模态输入
const result = await processor.processInput({
  audio: audioBuffer,
  text: "描述这张图片",
  image: imageBuffer
});

console.log('处理结果:', result);

---

应用场景实例

案例1：智能客服语音助手

​场景​：企业智能客服语音助手

​解决方案​：使用TEN Framework构建智能语音客服。

​实施方法​：

import { TENClient, VoiceSessionManager } from 'ten-framework';

class CustomerServiceAssistant {
  constructor() {
    this.client = new TENClient({
      baseURL: process.env.TEN_API_URL,
      apiKey: process.env.TEN_API_KEY
    });
    
    this.sessionManager = new VoiceSessionManager({
      autoReconnect: true,
      maxSessions: 100,
      sessionTimeout: 300000 // 5分钟
    });
    
    this.setupEventHandlers();
  }
  
  setupEventHandlers() {
    this.sessionManager.on('sessionCreated', (session) => {
      console.log(`新会话创建: ${session.id}`);
      this.handleNewSession(session);
    });
    
    this.sessionManager.on('sessionEnded', (sessionId, reason) => {
      console.log(`会话结束: ${sessionId} - ${reason}`);
      this.cleanupSession(sessionId);
    });
    
    this.sessionManager.on('error', (error) => {
      console.error('会话管理器错误:', error);
    });
  }
  
  async handleNewSession(session) {
    try {
      // 播放欢迎语
      await this.playWelcomeMessage(session.id);
      
      // 设置会话上下文
      await this.setSessionContext(session.id, {
        serviceType: 'customer_service',
        language: 'zh-CN',
        maxTurns: 10,
        fallbackToHuman: true
      });
      
      // 开始语音监听
      await this.startVoiceListening(session.id);
      
      console.log(`会话 ${session.id} 已准备就绪`);
    } catch (error) {
      console.error(`会话初始化失败: ${error.message}`);
      await this.sessionManager.endSession(session.id, 'initialization_failed');
    }
  }
  
  async playWelcomeMessage(sessionId) {
    const welcomeText = "欢迎致电客服中心，请问有什么可以帮您？";
    await this.client.sessions.synthesizeSpeech(sessionId, welcomeText, {
      voice: 'friendly',
      speed: 1.0
    });
  }
  
  async startVoiceListening(sessionId) {
    await this.client.sessions.startVoiceInput(sessionId, {
      vad: {
        enabled: true,
        sensitivity: 0.6
      },
      realtime: true,
      interimResults: true
    });
    
    // 设置语音输入事件监听
    this.client.sessions.on('voiceInput', async (data) => {
      if (data.sessionId === sessionId) {
        await this.handleVoiceInput(sessionId, data);
      }
    });
  }
  
  async handleVoiceInput(sessionId, inputData) {
    try {
      if (inputData.isFinal) {
        console.log(`收到语音输入: ${inputData.transcript}`);
        
        // 处理用户查询
        const response = await this.processCustomerQuery(
          sessionId, 
          inputData.transcript
        );
        
        // 播放响应
        await this.playResponse(sessionId, response);
        
        // 检查是否结束会话
        if (this.shouldEndSession(response)) {
          await this.endSessionGracefully(sessionId);
        }
      }
    } catch (error) {
      console.error(`处理语音输入失败: ${error.message}`);
      await this.playErrorMessage(sessionId);
    }
  }
  
  async processCustomerQuery(sessionId, query) {
    // 获取会话历史
    const history = await this.getSessionHistory(sessionId);
    
    // 分析用户意图
    const intent = await this.analyzeIntent(query, history);
    
    // 根据意图处理查询
    switch (intent.type) {
      case 'product_info':
        return await this.handleProductQuery(intent, history);
      case 'technical_support':
        return await this.handleTechnicalQuery(intent, history);
      case 'billing_inquiry':
        return await this.handleBillingQuery(intent, history);
      case 'complaint':
        return await this.handleComplaint(intent, history);
      case 'human_agent':
        return await this.transferToHumanAgent(sessionId);
      default:
        return await this.handleGeneralQuery(query, history);
    }
  }
  
  async analyzeIntent(query, history) {
    const response = await this.client.ai.analyze({
      prompt: `分析用户意图: ${query}`,
      context: history.slice(-3), // 最近3轮对话
      options: {
        intentDetection: true,
        sentimentAnalysis: true,
        urgencyAssessment: true
      }
    });
    
    return {
      type: response.intent?.type || 'general',
      confidence: response.intent?.confidence || 0,
      sentiment: response.sentiment,
      urgency: response.urgency
    };
  }
  
  async handleProductQuery(intent, history) {
    // 从知识库获取产品信息
    const productInfo = await this.queryKnowledgeBase('products', intent.entities);
    
    return {
      text: productInfo.summary,
      suggestions: productInfo.relatedQuestions,
      actions: ['show_product_details'],
      confidence: intent.confidence
    };
  }
  
  async handleTechnicalQuery(intent, history) {
    // 处理技术支持问题
    const solution = await this.queryKnowledgeBase('solutions', intent.entities);
    
    if (solution.confidence > 0.8) {
      return {
        text: solution.answer,
        steps: solution.steps,
        actions: ['guide_troubleshooting'],
        confidence: solution.confidence
      };
    } else {
      return await this.transferToHumanAgent();
    }
  }
  
  async playResponse(sessionId, response) {
    if (response.text) {
      await this.client.sessions.synthesizeSpeech(sessionId, response.text, {
        voice: 'professional',
        emotion: 'neutral'
      });
    }
    
    // 执行附加动作
    if (response.actions) {
      for (const action of response.actions) {
        await this.executeAction(sessionId, action, response);
      }
    }
  }
  
  async executeAction(sessionId, action, response) {
    switch (action) {
      case 'show_product_details':
        await this.sendVisualData(sessionId, response.productDetails);
        break;
      case 'guide_troubleshooting':
        await this.startStepByStepGuide(sessionId, response.steps);
        break;
      case 'transfer_agent':
        await this.initiateTransfer(sessionId);
        break;
    }
  }
  
  async sendVisualData(sessionId, data) {
    // 发送可视化数据到客户端
    await this.client.sessions.sendVisual(sessionId, {
      type: 'product_card',
      data: data,
      display: 'side_panel'
    });
  }
  
  async startStepByStepGuide(sessionId, steps) {
    for (const [index, step] of steps.entries()) {
      await this.client.sessions.synthesizeSpeech(
        sessionId, 
        `步骤 ${index + 1}: ${step.description}`,
        { pauseAfter: 2000 }
      );
      
      // 等待用户确认或提问
      const confirmation = await this.waitForConfirmation(sessionId, 10000);
      if (!confirmation) break;
    }
  }
  
  async transferToHumanAgent(sessionId) {
    const transferMessage = "正在为您转接人工客服，请稍候...";
    await this.client.sessions.synthesizeSpeech(sessionId, transferMessage);
    
    // 实际转接逻辑
    await this.initiateHumanTransfer(sessionId);
    
    return {
      text: transferMessage,
      actions: ['transfer_agent'],
      endSession: true
    };
  }
  
  shouldEndSession(response) {
    return response.endSession || 
           (response.confidence < 0.3 && !response.fallbackToHuman);
  }
  
  async endSessionGracefully(sessionId) {
    const goodbyeMessage = "感谢您的来电，祝您有美好的一天！";
    await this.client.sessions.synthesizeSpeech(sessionId, goodbyeMessage);
    await this.sessionManager.endSession(sessionId, 'completed');
  }
  
  async playErrorMessage(sessionId) {
    const errorMessage = "抱歉，系统暂时无法处理您的请求，请稍后再试或联系人工客服。";
    await this.client.sessions.synthesizeSpeech(sessionId, errorMessage);
  }
  
  async cleanupSession(sessionId) {
    // 清理会话资源
    await this.saveSessionLogs(sessionId);
    await this.updateSessionStatistics(sessionId);
    console.log(`会话 ${sessionId} 清理完成`);
  }
  
  async getSessionHistory(sessionId, limit = 10) {
    return await this.client.sessions.getHistory(sessionId, { limit });
  }
  
  async setSessionContext(sessionId, context) {
    await this.client.sessions.setContext(sessionId, context);
  }
}

// 使用示例
async function main() {
  const assistant = new CustomerServiceAssistant();
  
  // 启动服务
  await assistant.start();
  console.log("客服语音助手已启动");
  
  // 模拟处理会话
  setTimeout(async () => {
    const testSession = await assistant.sessionManager.createSession({
      customerId: "test_customer_123",
      channel: "voice",
      metadata: {
        product: "premium",
        issueType: "technical"
      }
    });
    
    console.log(`测试会话创建: ${testSession.id}`);
  }, 1000);
}

main().catch(console.error);

​客服助手价值​：

• ​智能客服​：AI驱动的智能语音客服

• ​多意图处理​：多种客户意图识别和处理

• ​无缝转接​：AI到人工客服无缝转接

• ​知识库集成​：企业知识库集成

• ​性能监控​：服务性能监控和分析

案例2：多语言教育助手

​场景​：多语言学习教育助手

​解决方案​：使用TEN Framework构建多语言教育助手。

​实施方法​：

import { MultiLingualProcessor, EducationContentManager } from 'ten-framework/education';

class LanguageLearningAssistant {
  constructor() {
    this.processor = new MultiLingualProcessor({
      supportedLanguages: ['en', 'zh', 'es', 'fr', 'de', 'ja'],
      defaultLanguage: 'en',
      autoDetection: true
    });
    
    this.contentManager = new EducationContentManager({
      subjects: ['vocabulary', 'grammar', 'pronunciation', 'conversation'],
      levels: ['beginner', 'intermediate', 'advanced'],
      adaptiveLearning: true
    });
    
    this.userProgress = new Map();
  }
  
  async startLesson(userId, language, level = 'beginner') {
    console.log(`开始${language}语言课程，级别: ${level}`);
    
    // 获取或创建用户进度
    let progress = this.userProgress.get(userId);
    if (!progress) {
      progress = await this.initializeUserProgress(userId, language, level);
      this.userProgress.set(userId, progress);
    }
    
    // 生成个性化课程计划
    const lessonPlan = await this.generateLessonPlan(progress);
    
    // 启动语音会话
    const session = await this.createLearningSession(userId, language);
    
    return { session, lessonPlan, progress };
  }
  
  async initializeUserProgress(userId, language, level) {
    const placementTest = await this.administerPlacementTest(userId, language);
    
    return {
      userId,
      language,
      currentLevel: level,
      placementScore: placementTest.score,
      completedLessons: [],
      weakAreas: placementTest.weakAreas,
      strongAreas: placementTest.strongAreas,
      totalStudyTime: 0,
      lastSession: new Date(),
      goals: await this.setLearningGoals(userId, language)
    };
  }
  
  async administerPlacementTest(userId, language) {
    console.log(`为用户 ${userId} 进行${language}分班测试`);
    
    const testQuestions = await this.contentManager.generateTestQuestions(
      language, 
      'placement'
    );
    
    let score = 0;
    const results = [];
    
    for (const question of testQuestions) {
      const userAnswer = await this.presentQuestion(question);
      const isCorrect = await this.evaluateAnswer(question, userAnswer);
      
      results.push({
        questionId: question.id,
        correct: isCorrect,
        difficulty: question.difficulty
      });
      
      if (isCorrect) score += question.points;
    }
    
    const weakAreas = this.identifyWeakAreas(results);
    const strongAreas = this.identifyStrongAreas(results);
    
    return { score, results, weakAreas, strongAreas };
  }
  
  async presentQuestion(question) {
    switch (question.type) {
      case 'multiple_choice':
        return await this.presentMultipleChoice(question);
      case 'fill_in_blank':
        return await this.presentFillInBlank(question);
      case 'speaking':
        return await this.presentSpeakingExercise(question);
      case 'listening':
        return await this.presentListeningExercise(question);
      default:
        throw new Error(`未知问题类型: ${question.type}`);
    }
  }
  
  async presentMultipleChoice(question) {
    const message = `${question.question}\n选项: ${question.options.join(', ')}`;
    await this.synthesizeSpeech(message);
    
    const response = await this.waitForVoiceResponse(10000);
    return this.matchChoice(response, question.options);
  }
  
  async presentSpeakingExercise(question) {
    await this.synthesizeSpeech(`请跟读: ${question.prompt}`);
    
    // 播放示例音频
    if (question.audioExample) {
      await this.playAudio(question.audioExample);
    }
    
    const userAudio = await this.recordUserSpeech(5000);
    return await this.analyzePronunciation(userAudio, question.correctPronunciation);
  }
  
  async analyzePronunciation(userAudio, correctPronunciation) {
    const analysis = await this.processor.analyzePronunciation(
      userAudio, 
      correctPronunciation
    );
    
    return {
      audio: userAudio,
      score: analysis.score,
      feedback: analysis.feedback,
      improvements: analysis.suggestions
    };
  }
  
  async generateLessonPlan(progress) {
    const weakAreas = progress.weakAreas;
    const level = progress.currentLevel;
    
    const lessons = [];
    
    // 为每个薄弱领域生成课程
    for (const area of weakAreas) {
      const lesson = await this.contentManager.generateLesson(
        progress.language,
        area,
        level,
        progress.learningStyle
      );
      lessons.push(lesson);
    }
    
    // 添加复习课程
    if (progress.completedLessons.length > 0) {
      const reviewLesson = await this.generateReviewLesson(progress);
      lessons.unshift(reviewLesson); // 复习放在前面
    }
    
    // 添加挑战课程（强项）
    if (progress.strongAreas.length > 0 && lessons.length < 5) {
      const challengeLesson = await this.generateChallengeLesson(progress);
      lessons.push(challengeLesson);
    }
    
    return {
      totalLessons: lessons.length,
      estimatedDuration: lessons.reduce((sum, lesson) => sum + lesson.estimatedTime, 0),
      lessons: lessons,
      learningObjectives: this.extractLearningObjectives(lessons)
    };
  }
  
  async executeLesson(sessionId, lesson) {
    console.log(`执行课程: ${lesson.title}`);
    
    let currentScore = 0;
    const results = [];
    
    for (const activity of lesson.activities) {
      try {
        const activityResult = await this.executeActivity(sessionId, activity);
        results.push(activityResult);
        
        currentScore += activityResult.score * activity.weight;
        
        // 提供实时反馈
        if (activityResult.feedback) {
          await this.provideFeedback(sessionId, activityResult.feedback);
        }
        
        // 检查是否需要调整难度
        if (this.needsDifficultyAdjustment(activityResult)) {
          await this.adjustDifficulty(sessionId, activity, activityResult);
        }
        
      } catch (error) {
        console.error(`活动执行失败: ${error.message}`);
        results.push({ error: error.message, skipped: true });
      }
    }
    
    const lessonScore = currentScore / lesson.activities.length;
    const passed = lessonScore >= lesson.passingScore;
    
    return {
      lessonId: lesson.id,
      score: lessonScore,
      passed,
      results,
      completedAt: new Date(),
      timeSpent: Date.now() - sessionStartTime
    };
  }
  
  async provideFeedback(sessionId, feedback) {
    if (feedback.immediate) {
      await this.synthesizeSpeech(feedback.message);
    }
    
    if (feedback.visual) {
      await this.displayVisualFeedback(sessionId, feedback.visual);
    }
    
    if (feedback.detailed) {
      // 保存详细反馈供课后查看
      await this.saveDetailedFeedback(sessionId, feedback.detailed);
    }
  }
  
  async adjustDifficulty(sessionId, activity, result) {
    const difficultyChange = this.calculateDifficultyAdjustment(result);
    
    if (difficultyChange !== 0) {
      await this.contentManager.adjustActivityDifficulty(
        activity.id,
        difficultyChange
      );
      
      console.log(`调整活动难度: ${activity.id}, 变化: ${difficultyChange}`);
    }
  }
  
  calculateDifficultyAdjustment(result) {
    if (result.score > 0.9) return 0.2; // 增加难度
    if (result.score < 0.4) return -0.2; // 降低难度
    return 0; // 保持当前难度
  }
  
  async updateUserProgress(userId, lessonResult) {
    const progress = this.userProgress.get(userId);
    if (!progress) return;
    
    progress.completedLessons.push({
      lessonId: lessonResult.lessonId,
      score: lessonResult.score,
      passed: lessonResult.passed,
      completedAt: lessonResult.completedAt,
      timeSpent: lessonResult.timeSpent
    });
    
    progress.totalStudyTime += lessonResult.timeSpent;
    progress.lastSession = new Date();
    
    // 更新强弱项分析
    await this.updateStrengthAnalysis(progress, lessonResult);
    
    // 检查等级提升
    if (this.shouldLevelUp(progress)) {
      await this.promoteToNextLevel(userId);
    }
    
    this.userProgress.set(userId, progress);
    
    // 生成进度报告
    await this.generateProgressReport(userId);
  }
  
  async updateStrengthAnalysis(progress, lessonResult) {
    for (const activityResult of lessonResult.results) {
      if (activityResult.skillArea) {
        if (activityResult.score > 0.8) {
          // 添加到强项
          if (!progress.strongAreas.includes(activityResult.skillArea)) {
            progress.strongAreas.push(activityResult.skillArea);
          }
          // 从弱项移除
          progress.weakAreas = progress.weakAreas.filter(
            area => area !== activityResult.skillArea
          );
        } else if (activityResult.score < 0.5) {
          // 添加到弱项
          if (!progress.weakAreas.includes(activityResult.skillArea)) {
            progress.weakAreas.push(activityResult.skillArea);
          }
        }
      }
    }
  }
  
  shouldLevelUp(progress) {
    const recentLessons = progress.completedLessons.slice(-5);
    if (recentLessons.length < 5) return false;
    
    const averageScore = recentLessons.reduce((sum, lesson) => 
      sum + lesson.score, 0) / recentLessons.length;
    
    return averageScore >= 0.8 && progress.completedLessons.length >= 10;
  }
  
  async promoteToNextLevel(userId) {
    const progress = this.userProgress.get(userId);
    if (!progress) return;
    
    const currentLevel = progress.currentLevel;
    const nextLevel = this.getNextLevel(currentLevel);
    
    if (nextLevel) {
      progress.currentLevel = nextLevel;
      console.log(`用户 ${userId} 升级到 ${nextLevel} 级别`);
      
      // 庆祝升级
      await this.congratulateLevelUp(userId, nextLevel);
      
      // 生成新的课程计划
      const newLessonPlan = await this.generateLessonPlan(progress);
      await this.notifyNewLevelPlan(userId, newLessonPlan);
    }
  }
  
  getNextLevel(currentLevel) {
    const levels = ['beginner', 'intermediate', 'advanced'];
    const currentIndex = levels.indexOf(currentLevel);
    return currentIndex < levels.length - 1 ? levels[currentIndex + 1] : null;
  }
  
  async congratulateLevelUp(userId, newLevel) {
    const message = `恭喜！您已成功升级到${newLevel}级别！继续加油！`;
    await this.synthesizeSpeech(message);
    
    // 播放庆祝音效
    await this.playAudio('celebration_sound.mp3');
    
    // 发送升级奖励
    await this.awardLevelUpAchievement(userId, newLevel);
  }
  
  async generateProgressReport(userId) {
    const progress = this.userProgress.get(userId);
    if (!progress) return;
    
    const report = {
      userId,
      generatedAt: new Date(),
      language: progress.language,
      currentLevel: progress.currentLevel,
      totalStudyTime: progress.totalStudyTime,
      completedLessons: progress.completedLessons.length,
      averageScore: this.calculateAverageScore(progress),
      weakAreas: progress.weakAreas,
      strongAreas: progress.strongAreas,
      recommendations: await this.generateRecommendations(progress),
      nextGoals: await this.generateNextGoals(progress)
    };
    
    // 保存报告
    await this.saveProgressReport(userId, report);
    
    // 发送给用户
    await this.sendProgressReport(userId, report);
    
    return report;
  }
  
  calculateAverageScore(progress) {
    if (progress.completedLessons.length === 0) return 0;
    return progress.completedLessons.reduce((sum, lesson) => 
      sum + lesson.score, 0) / progress.completedLessons.length;
  }
  
  async generateRecommendations(progress) {
    const recommendations = [];
    
    // 基于弱项的推荐
    for (const weakArea of progress.weakAreas) {
      recommendations.push({
        type: 'improvement',
        area: weakArea,
        suggestion: `建议加强${weakArea}练习`,
        resources: await this.contentManager.getLearningResources(
          progress.language, 
          weakArea, 
          progress.currentLevel
        )
      });
    }
    
    // 基于学习习惯的推荐
    if (progress.totalStudyTime < 3600000) { // 少于1小时
      recommendations.push({
        type: 'consistency',
        suggestion: '建议增加学习频率，每天至少学习30分钟',
        priority: 'high'
      });
    }
    
    // 基于目标的推荐
    if (progress.goals && progress.goals.length > 0) {
      const goalProgress = this.calculateGoalProgress(progress);
      recommendations.push(...goalProgress.recommendations);
    }
    
    return recommendations;
  }
}

// 使用示例
async function main() {
  const languageAssistant = new LanguageLearningAssistant();
  
  // 启动学习会话
  const userSession = await languageAssistant.startLesson(
    "user123", 
    "zh", 
    "beginner"
  );
  
  console.log(`学习会话启动: ${userSession.session.id}`);
  console.log(`课程计划: ${userSession.lessonPlan.totalLessons} 节课`);
  
  // 执行第一节课
  const firstLesson = userSession.lessonPlan.lessons[0];
  const result = await languageAssistant.executeLesson(
    userSession.session.id, 
    firstLesson
  );
  
  console.log(`课程完成，得分: ${result.score.toFixed(2)}`);
  
  // 更新进度
  await languageAssistant.updateUserProgress("user123", result);
  
  // 生成进度报告
  const report = await languageAssistant.generateProgressReport("user123");
  console.log("进度报告生成完成");
}

main().catch(console.error);

​教育助手价值​：

• ​个性化学习​：个性化学习路径和内容

• ​多语言支持​：多语言学习支持

• ​实时反馈​：实时发音和练习反馈

• ​进度跟踪​：详细学习进度跟踪

• ​自适应难度​：自适应难度调整

案例3：智能家居语音控制

​场景​：语音控制的智能家居系统

​解决方案​：使用TEN Framework构建智能家居语音控制。

​实施方法​：

import { VoiceControlManager, IoTDeviceManager } from 'ten-framework/iot';

class SmartHomeController {
  constructor() {
    this.voiceControl = new VoiceControlManager({
      wakeWord: 'hey home',
      sensitivity: 0.7,
      responseTimeout: 5000
    });
    
    this.deviceManager = new IoTDeviceManager({
      protocols: ['zigbee', 'z-wave', 'wifi', 'bluetooth'],
      autoDiscovery: true,
      deviceLimit: 50
    });
    
    this.routines = new Map();
    this.setupEventHandlers();
  }
  
  setupEventHandlers() {
    this.voiceControl.on('wakeWordDetected', () => {
      this.handleWakeWord();
    });
    
    this.voiceControl.on('voiceCommand', (command) => {
      this.handleVoiceCommand(command);
    });
    
    this.deviceManager.on('deviceDiscovered', (device) => {
      this.handleNewDevice(device);
    });
    
    this.deviceManager.on('deviceStatusChanged', (deviceId, status) => {
      this.handleDeviceStatusChange(deviceId, status);
    });
    
    this.deviceManager.on('error', (error) => {
      console.error('设备管理错误:', error);
    });
  }
  
  async initialize() {
    console.log("初始化智能家居控制器...");
    
    // 启动语音控制
    await this.voiceControl.start();
    
    // 发现设备
    await this.deviceManager.discoverDevices();
    
    // 加载预设场景
    await this.loadPresetScenes();
    
    // 加载用户习惯
    await this.loadUserPreferences();
    
    console.log("智能家居控制器就绪");
  }
  
  async handleWakeWord() {
    // 播放唤醒提示音
    await this.playSound('wake_sound.mp3');
    
    // 显示视觉反馈
    await this.showVisualFeedback('listening');
    
    // 开始监听命令
    await this.voiceControl.startListening();
  }
  
  async handleVoiceCommand(command) {
    try {
      console.log(`处理语音命令: ${command.transcript}`);
      
      // 分析命令意图
      const intent = await this.analyzeCommandIntent(command.transcript);
      
      // 执行相应操作
      switch (intent.type) {
        case 'device_control':
          await this.controlDevice(intent);
          break;
        case 'scene_activation':
          await this.activateScene(intent);
          break;
        case 'routine_management':
          await this.manageRoutine(intent);
          break;
        case 'information_query':
          await this.provideInformation(intent);
          break;
        case 'system_control':
          await this.controlSystem(intent);
          break;
        default:
          await this.handleUnknownCommand(command);
      }
      
      // 确认命令执行
      await this.acknowledgeCommand(intent);
      
    } catch (error) {
      console.error(`命令处理失败: ${error.message}`);
      await this.handleCommandError(error);
    }
  }
  
  async analyzeCommandIntent(commandText) {
    const analysis = await this.voiceControl.analyzeIntent(commandText, {
      context: 'smart_home',
      deviceList: await this.deviceManager.getDeviceList(),
      sceneList: await this.getAvailableScenes(),
      userPreferences: this.userPreferences
    });
    
    return {
      type: analysis.intent.type,
      confidence: analysis.intent.confidence,
      entities: analysis.entities,
      targetDevice: analysis.device,
      action: analysis.action,
      parameters: analysis.parameters
    };
  }
  
  async controlDevice(intent) {
    const deviceId = intent.targetDevice;
    const action = intent.action;
    const params = intent.parameters;
    
    if (!deviceId) {
      throw new Error('未指定目标设备');
    }
    
    const device = await this.deviceManager.getDevice(deviceId);
    if (!device) {
      throw new Error(`设备不存在: ${deviceId}`);
    }
    
    // 检查设备是否支持该操作
    if (!device.supportsAction(action)) {
      throw new Error(`设备不支持操作: ${action}`);
    }
    
    // 执行设备控制
    const result = await this.deviceManager.executeDeviceAction(
      deviceId,
      action,
      params
    );
    
    console.log(`设备控制成功: ${deviceId} - ${action}`);
    return result;
  }
  
  async activateScene(intent) {
    const sceneName = intent.parameters.scene;
    if (!sceneName) {
      throw new Error('未指定场景名称');
    }
    
    const scene = this.routines.get(sceneName);
    if (!scene) {
      throw new Error(`场景不存在: ${sceneName}`);
    }
    
    console.log(`激活场景: ${sceneName}`);
    
    // 按顺序执行场景中的动作
    for (const [index, action] of scene.actions.entries()) {
      try {
        await this.executeSceneAction(action);
        console.log(`场景动作 ${index + 1} 完成`);
      } catch (error) {
        console.error(`场景动作失败: ${error.message}`);
        // 继续执行其他动作
      }
    }
    
    return { success: true, scene: sceneName };
  }
  
  async executeSceneAction(action) {
    switch (action.type) {
      case 'device_control':
        return await this.controlDevice({
          targetDevice: action.deviceId,
          action: action.command,
          parameters: action.parameters
        });
      
      case 'delay':
        await new Promise(resolve => setTimeout(resolve, action.duration));
        return { type: 'delay', completed: true };
      
      case 'notification':
        await this.sendNotification(action.message);
        return { type: 'notification', sent: true };
      
      case 'condition':
        return await this.evaluateCondition(action.condition);
      
      default:
        console.warn(`未知动作类型: ${action.type}`);
        return { skipped: true };
    }
  }
  
  async manageRoutine(intent) {
    const action = intent.action;
    const routineName = intent.parameters.name;
    
    switch (action) {
      case 'create':
        return await this.createRoutine(intent.parameters);
      case 'edit':
        return await this.editRoutine(routineName, intent.parameters);
      case 'delete':
        return await this.deleteRoutine(routineName);
      case 'list':
        return await this.listRoutines();
      case 'execute':
        return await this.executeRoutine(routineName);
      default:
        throw new Error(`不支持的路由操作: ${action}`);
    }
  }
  
  async createRoutine(params) {
    const { name, trigger, actions, conditions } = params;
    
    if (!name || !actions) {
      throw new Error('缺少必要参数');
    }
    
    if (this.routines.has(name)) {
      throw new Error(`路由已存在: ${name}`);
    }
    
    const routine = {
      name,
      trigger: trigger || 'manual',
      actions,
      conditions: conditions || [],
      created: new Date(),
      lastModified: new Date()
    };
    
    this.routines.set(name, routine);
    await this.saveRoutine(routine);
    
    console.log(`创建路由成功: ${name}`);
    return routine;
  }
  
  async provideInformation(intent) {
    const queryType = intent.parameters.queryType;
    
    switch (queryType) {
      case 'device_status':
        return await this.getDeviceStatusReport();
      case 'energy_usage':
        return await this.getEnergyUsageReport();
      case 'weather_info':
        return await this.getWeatherInformation();
      case 'system_status':
        return await this.getSystemStatus();
      case 'routine_info':
        return await this.getRoutineInformation(intent.parameters.routine);
      default:
        return await this.getGeneralInformation(intent);
    }
  }
  
  async getDeviceStatusReport() {
    const devices = await this.deviceManager.getAllDevices();
    const statusReport = {
      totalDevices: devices.length,
      onlineDevices: devices.filter(d => d.status === 'online').length,
      offlineDevices: devices.filter(d => d.status === 'offline').length,
      byRoom: this.groupDevicesByRoom(devices),
      byType: this.groupDevicesByType(devices),
      recentActivity: await this.getRecentDeviceActivity()
    };
    
    return this.formatStatusReport(statusReport);
  }
  
  async controlSystem(intent) {
    const action = intent.action;
    
    switch (action) {
      case 'restart':
        return await this.restartSystem();
      case 'shutdown':
        return await this.shutdownSystem();
      case 'update':
        return await this.updateSystem();
      case 'mode_change':
        return await this.changeSystemMode(intent.parameters.mode);
      case 'security':
        return await this.controlSecuritySystem(intent.parameters);
      default:
        throw new Error(`不支持的系统操作: ${action}`);
    }
  }
  
  async changeSystemMode(mode) {
    const validModes = ['normal', 'away', 'vacation', 'night', 'party'];
    if (!validModes.includes(mode)) {
      throw new Error(`无效的系统模式: ${mode}`);
    }
    
    this.systemMode = mode;
    await this.applyModeSettings(mode);
    
    console.log(`系统模式已更改为: ${mode}`);
    return { mode: mode, applied: true };
  }
  
  async applyModeSettings(mode) {
    const modeSettings = {
      normal: { lights: 'auto', temperature: 22, security: 'standard' },
      away: { lights: 'off', temperature: 18, security: 'high' },
      vacation: { lights: 'random', temperature: 16, security: 'maximum' },
      night: { lights: 'dim', temperature: 20, security: 'night' },
      party: { lights: 'party', temperature: 21, security: 'relaxed' }
    };
    
    const settings = modeSettings[mode];
    if (!settings) return;
    
    // 应用模式设置
    await this.applyLightingSettings(settings.lights);
    await this.applyTemperatureSettings(settings.temperature);
    await this.applySecuritySettings(settings.security);
  }
  
  async handleUnknownCommand(command) {
    console.log(`无法识别的命令: ${command.transcript}`);
    
    // 尝试学习新命令
    const learningResult = await this.learnNewCommand(command);
    if (learningResult.success) {
      return learningResult;
    }
    
    // 提供帮助信息
    await this.provideHelp();
    return { handled: false, reason: 'unknown_command' };
  }
  
  async learnNewCommand(command) {
    // 检查是否包含设备名称和动作
    const potentialDevices = await this.findMatchingDevices(command.transcript);
    const potentialActions = this.extractPotentialActions(command.transcript);
    
    if (potentialDevices.length > 0 && potentialActions.length > 0) {
      // 尝试学习新命令
      return await this.addCustomCommand(
        command.transcript,
        potentialDevices[0],
        potentialActions[0]
      );
    }
    
    return { success: false, reason: 'insufficient_information' };
  }
  
  async acknowledgeCommand(intent) {
    const acknowledgment = this.generateAcknowledgment(intent);
    await this.voiceControl.synthesizeSpeech(acknowledgment.message);
    
    if (acknowledgment.visual) {
      await this.showVisualFeedback(acknowledgment.visual);
    }
    
    if (acknowledgment.sound) {
      await this.playSound(acknowledgment.sound);
    }
  }
  
  generateAcknowledgment(intent) {
    const baseAcknowledgment = {
      message: '好的，已执行您的命令',
      visual: 'success',
      sound: 'confirm.mp3'
    };
    
    switch (intent.type) {
      case 'device_control':
        return {
          ...baseAcknowledgment,
          message: `已${intent.action}${intent.targetDevice}`
        };
      
      case 'scene_activation':
        return {
          ...baseAcknowledgment,
          message: `场景${intent.parameters.scene}已激活`
        };
      
      case 'routine_management':
        return {
          ...baseAcknowledgment,
          message: `路由${intent.action}操作完成`
        };
      
      case 'information_query':
        return {
          ...baseAcknowledgment,
          message: '这是您需要的信息'
        };
      
      default:
        return baseAcknowledgment;
    }
  }
  
  async handleCommandError(error) {
    console.error(`命令执行错误: ${error.message}`);
    
    const errorResponse = this.generateErrorResponse(error);
    await this.voiceControl.synthesizeSpeech(errorResponse.message);
    
    if (errorResponse.suggestions) {
      await this.provideSuggestions(errorResponse.suggestions);
    }
  }
  
  generateErrorResponse(error) {
    const errorMessages = {
      'device_not_found': {
        message: '抱歉，找不到您说的设备',
        suggestions: ['请检查设备名称', '尝试说"有哪些设备"']
      },
      'unsupported_action': {
        message: '这个设备不支持该操作',
        suggestions: ['查看设备支持的操作', '尝试其他操作']
      },
      'device_offline': {
        message: '设备当前离线，无法操作',
        suggestions: ['检查设备连接', '等待设备上线']
      },
      'invalid_parameter': {
        message: '参数无效，请重新设置',
        suggestions: ['查看有效参数范围', '重新设置参数']
      },
      'network_error': {
        message: '网络连接出现问题',
        suggestions: ['检查网络连接', '稍后重试']
      }
    };
    
    return errorMessages[error.code] || {
      message: '抱歉，出现了一些问题',
      suggestions: ['请稍后重试', '检查系统状态']
    };
  }
  
  async provideHelp() {
    const helpMessage = `我可以帮您控制智能设备、管理场景、查询信息等。
    例如：打开客厅灯光、设置温度为24度、有哪些设备在线。
    您想做什么？`;
    
    await this.voiceControl.synthesizeSpeech(helpMessage);
  }
  
  async provideSuggestions(suggestions) {
    const suggestionText = suggestions.join('。或者');
    await this.voiceControl.synthesizeSpeech(`建议：${suggestionText}`);
  }
  
  // 设备发现和处理
  async handleNewDevice(device) {
    console.log(`发现新设备: ${device.name} (${device.type})`);
    
    // 自动配置设备
    await this.autoConfigureDevice(device);
    
    // 添加到房间分组
    await this.assignDeviceToRoom(device);
    
    // 学习设备控制命令
    await this.learnDeviceCommands(device);
    
    // 通知用户
    await this.notifyNewDevice(device);
  }
  
  async autoConfigureDevice(device) {
    const defaultConfig = this.getDefaultConfiguration(device.type);
    await this.deviceManager.configureDevice(device.id, defaultConfig);
    
    // 设置自动化规则
    await this.setupAutomationRules(device);
  }
  
  async handleDeviceStatusChange(deviceId, status) {
    console.log(`设备状态变化: ${deviceId} -> ${status}`);
    
    // 记录状态变化
    await this.logDeviceStatus(deviceId, status);
    
    // 触发相关自动化
    await this.triggerStatusBasedAutomations(deviceId, status);
    
    // 通知用户（如果需要）
    if (this.shouldNotifyStatusChange(deviceId, status)) {
      await this.notifyDeviceStatus(deviceId, status);
    }
  }
  
  async triggerStatusBasedAutomations(deviceId, status) {
    const automations = await this.getStatusBasedAutomations(deviceId, status);
    
    for (const automation of automations) {
      try {
        await this.executeAutomation(automation);
      } catch (error) {
        console.error(`自动化执行失败: ${error.message}`);
      }
    }
  }
  
  // 系统管理功能
  async restartSystem() {
    console.log('重启系统中...');
    
    // 保存当前状态
    await this.saveSystemState();
    
    // 停止所有服务
    await this.stopAllServices();
    
    // 重新启动
    await this.startAllServices();
    
    console.log('系统重启完成');
    return { restarted: true, timestamp: new Date() };
  }
  
  async updateSystem() {
    console.log('检查系统更新...');
    
    const updates = await this.checkForUpdates();
    if (updates.available) {
      await this.applyUpdates(updates);
      return { updated: true, updates: updates.packages };
    }
    
    return { updated: false, message: '系统已是最新版本' };
  }
  
  async getSystemStatus() {
    return {
      version: await this.getSystemVersion(),
      uptime: await this.getUptime(),
      memory: await this.getMemoryUsage(),
      cpu: await this.getCpuUsage(),
      network: await this.getNetworkStatus(),
      devices: await this.getDeviceStatusSummary(),
      lastUpdate: await this.getLastUpdateTime(),
      systemMode: this.systemMode
    };
  }
  
  // 用户偏好和学习
  async loadUserPreferences() {
    try {
      this.userPreferences = await this.storage.load('user_preferences');
      console.log('用户偏好加载完成');
    } catch (error) {
      console.log('使用默认用户偏好');
      this.userPreferences = this.getDefaultPreferences();
    }
  }
  
  async learnFromUserBehavior() {
    // 分析用户使用模式
    const usagePatterns = await this.analyzeUsagePatterns();
    
    // 学习常用命令
    await this.learnFrequentCommands();
    
    // 优化响应时间
    await this.optimizeResponseTimes();
    
    // 个性化系统行为
    await this.personalizeSystemBehavior();
  }
  
  async analyzeUsagePatterns() {
    const logs = await this.getUsageLogs(30); // 最近30天
    return {
      frequentCommands: this.findFrequentCommands(logs),
      preferredDevices: this.findPreferredDevices(logs),
      usageTimes: this.analyzeUsageTimes(logs),
      commonScenarios: this.identifyCommonScenarios(logs)
    };
  }
}

// 使用示例
async function main() {
  const smartHome = new SmartHomeController();
  
  try {
    // 初始化系统
    await smartHome.initialize();
    console.log('智能家居系统启动完成');
    
    // 模拟语音命令处理
    setTimeout(async () => {
      // 模拟"打开客厅灯光"命令
      const testCommand = {
        transcript: "打开客厅灯光",
        confidence: 0.95,
        timestamp: new Date()
      };
      
      await smartHome.handleVoiceCommand(testCommand);
    }, 2000);
    
    // 模拟设备发现
    setTimeout(async () => {
      const testDevice = {
        id: 'light_001',
        name: '客厅主灯',
        type: 'light',
        manufacturer: 'Philips Hue',
        capabilities: ['on', 'off', 'dim', 'color'],
        status: 'online'
      };
      
      await smartHome.handleNewDevice(testDevice);
    }, 5000);
    
  } catch (error) {
    console.error('系统启动失败:', error);
    process.exit(1);
  }
}

main().catch(console.error);

​智能家居价值​：

• ​语音控制​：自然语言语音控制

• ​设备管理​：智能设备统一管理

• ​场景自动化​：智能场景自动化

• ​系统集成​：多系统无缝集成

• ​学习优化​：用户行为学习和优化

---

总结

TEN Framework作为一个全面的开源对话式AI代理框架，通过其先进的语音处理、多模态交互、AI代理管理和生产部署能力，为构建实时对话AI系统提供了完整的解决方案。

​核心优势​：

• 🎤 ​实时语音​：超低延迟实时语音处理

• 👁️ ​多模态​：语音和视觉多模态融合

• 🤖 ​AI代理​：智能AI代理管理系统

• ⚡ ​高性能​：高性能实时处理能力

• 🆓 ​开源​：完全开源免费使用

​适用场景​：

• 智能语音助手和客服系统

• 多语言教育学习平台

• 智能家居语音控制系统

• 企业知识管理和搜索

• 实时对话AI应用开发

​立即开始使用​：

# 克隆仓库
git clone https://github.com/TEN-framework/ten-framework.git

# 安装依赖
cd ten-framework
npm install

# 配置环境
cp .env.example .env
# 编辑.env文件配置API密钥

# 启动开发
npm run dev

# 或使用Docker
docker compose up -d

​资源链接​：

• 📚 ​项目地址​：GitHub仓库

• 📖 ​技术文档​：详细技术文档

• 💬 ​社区支持​：Discord社区

• 🎥 ​演示示例​：在线演示示例

• 🔧 ​配置参考​：配置选项参考

​最佳实践​：

• 🎯 ​循序渐进​：从简单功能开始学习

• 📖 ​文档阅读​：详细阅读技术文档

• 🔧 ​配置优化​：根据需求优化配置

• 🤝 ​社区参与​：参与社区讨论和贡献

• 🔄 ​持续学习​：持续学习新功能和技巧

​通过TEN Framework，您可以​：

• ​语音交互​：构建先进语音交互系统

• ​多模态处理​：处理多模态输入和输出

• ​AI集成​：集成多种AI模型和服务

• ​生产部署​：生产环境部署和管理

• ​创新应用​：开发创新AI应用

​无论您是AI研究员、开发者、产品经理还是技术爱好者，TEN Framework都能为您提供先进、高效且免费的多模态AI解决方案！​​

​特别提示​：

• 🔍 ​API配置​：正确配置API密钥和服务

• 📖 ​文档参考​：详细阅读技术文档

• 🤝 ​社区参与​：积极参与社区贡献

• 🔧 ​性能优化​：根据硬件优化配置

• ⚠️ ​使用限制​：注意API使用限制和配额

​通过TEN Framework，共同推动对话式AI技术的发展！​​

​未来发展​：

• 🚀 ​更多功能​：持续添加新功能

• 🤖 ​模型扩展​：支持更多AI模型

• 🌍 ​多语言​：更多语言支持扩展

• 📊 ​性能优化​：进一步性能优化

• 🔧 ​生态建设​：开发者生态建设

​加入社区​：

参与方式:
- GitHub Issues: 问题反馈和功能建议
- Discord社区: 技术讨论和交流
- 文档贡献: 技术文档改进贡献
- 代码贡献: 代码改进和功能添加
- 示例贡献: 示例项目贡献

社区价值:
- 技术交流和学习
- 问题解答和支持
- 功能建议和讨论
- 项目贡献和认可
- 职业发展机会

​通过TEN Framework，共同构建更好的对话式AI未来！​