使用npm安装

openclaw openclaw解答 2026-04-09 2

我来介绍AI小龙虾（OpenClaw）在Node.js中的集成使用方法。

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安装OpenClaw Node.js SDK

# 或使用yarn
yarn add openclaw-sdk
# 或使用pnpm
pnpm add openclaw-sdk

基本配置

初始化客户端

const { OpenClawClient } = require('openclaw-sdk');
// 方式1: 使用API密钥
const client = new OpenClawClient({
  apiKey: 'your-api-key-here',
  endpoint: 'https://api.openclaw.ai/v1' // 可选，默认端点
});
// 方式2: 使用访问令牌
const client = new OpenClawClient({
  accessToken: 'your-access-token',
  baseUrl: 'https://api.openclaw.ai'
});

核心功能使用示例

1 文本处理

async function textProcessing() {
  try {
    // 文本生成
    const generation = await client.text.generate({
      prompt: "写一篇关于人工智能发展的文章",
      max_tokens: 500,
      temperature: 0.7
    });
    console.log("生成结果:", generation.text);
    // 文本分类
    const classification = await client.text.classify({
      text: "这款产品非常好用，我很满意",
      categories: ["正面", "负面", "中性"]
    });
    console.log("分类结果:", classification);
    // 文本摘要
    const summary = await client.text.summarize({
      text: "这是一段很长的文本内容...",
      max_length: 100
    });
    console.log("", summary);
  } catch (error) {
    console.error("处理失败:", error);
  }
}

2 图像处理

async function imageProcessing() {
  try {
    // 图像生成
    const image = await client.image.generate({
      prompt: "一只可爱的小龙虾在厨房烹饪",
      size: "1024x1024",
      quality: "standard"
    });
    console.log("图像URL:", image.url);
    // 图像分析
    const analysis = await client.image.analyze({
      image_url: "https://example.com/image.jpg",
      features: ["objects", "text", "faces"]
    });
    console.log("分析结果:", analysis);
  } catch (error) {
    console.error("图像处理失败:", error);
  }
}

3 语音处理

async function speechProcessing() {
  try {
    // 语音转文本
    const transcription = await client.speech.transcribe({
      audio_file: "path/to/audio.mp3",
      language: "zh-CN"
    });
    console.log("转录文本:", transcription.text);
    // 文本转语音
    const speech = await client.speech.synthesize({
      text: "你好，我是AI小龙虾",
      voice: "zh-CN-XiaoxiaoNeural"
    });
    // 保存音频文件
    fs.writeFileSync("output.mp3", speech.audio);
  } catch (error) {
    console.error("语音处理失败:", error);
  }
}

高级功能

1 流式响应

async function streamResponse() {
  const stream = await client.text.generateStream({
    prompt: "解释量子计算的基本原理",
    stream: true
  });
  for await (const chunk of stream) {
    process.stdout.write(chunk.text);
  }
}

2 批量处理

async function batchProcessing() {
  const batchClient = client.batch();
  const results = await batchClient.process([
    {
      type: "text",
      operation: "sentiment",
      data: "这个电影很棒！"
    },
    {
      type: "text", 
      operation: "keywords",
      data: "人工智能未来发展趋势"
    }
  ]);
  console.log("批量结果:", results);
}

3 自定义模型

async function customModel() {
  const customClient = client.withModel({
    model_id: "custom-model-123",
    parameters: {
      temperature: 0.3,
      top_p: 0.9
    }
  });
  const result = await customClient.text.generate({
    prompt: "自定义模型测试"
  });
}

错误处理

async function withErrorHandling() {
  try {
    const result = await client.text.generate({
      prompt: "测试"
    });
  } catch (error) {
    if (error.statusCode === 429) {
      console.log("请求过于频繁，请稍后重试");
      // 实现指数退避重试
      await new Promise(resolve => 
        setTimeout(resolve, Math.pow(2, retryCount) * 1000)
      );
    } else if (error.statusCode === 401) {
      console.log("API密钥无效");
    } else if (error.statusCode === 500) {
      console.log("服务器内部错误");
    } else {
      console.log("未知错误:", error.message);
    }
  }
}

最佳实践

1 配置管理

// config.js
module.exports = {
  openclaw: {
    apiKey: process.env.OPENCLAW_API_KEY,
    timeout: 30000,
    maxRetries: 3,
    baseUrl: process.env.OPENCLAW_BASE_URL || 'https://api.openclaw.ai'
  }
};
// client.js
const config = require('./config');
const client = new OpenClawClient(config.openclaw);

2 请求中间件

class LoggingClient extends OpenClawClient {
  constructor(options) {
    super(options);
    this.requestLogger = options.requestLogger || console.log;
  }
  async request(endpoint, options) {
    const startTime = Date.now();
    this.requestLogger(`请求开始: ${endpoint}`);
    try {
      const response = await super.request(endpoint, options);
      const duration = Date.now() - startTime;
      this.requestLogger(`请求成功: ${endpoint} - ${duration}ms`);
      return response;
    } catch (error) {
      const duration = Date.now() - startTime;
      this.requestLogger(`请求失败: ${endpoint} - ${duration}ms - ${error.message}`);
      throw error;
    }
  }
}

3 速率限制处理

const { RateLimiter } = require('limiter');
class RateLimitedClient extends OpenClawClient {
  constructor(options) {
    super(options);
    // 每秒10个请求的限制
    this.limiter = new RateLimiter({ tokensPerInterval: 10, interval: 'second' });
  }
  async request(endpoint, options) {
    await this.limiter.removeTokens(1);
    return super.request(endpoint, options);
  }
}

完整示例：聊天机器人

const readline = require('readline');
const { OpenClawClient } = require('openclaw-sdk');
class ChatBot {
  constructor(apiKey) {
    this.client = new OpenClawClient({ apiKey });
    this.history = [];
  }
  async chat(message) {
    this.history.push({ role: 'user', content: message });
    const response = await this.client.chat.completions.create({
      messages: [
        { role: 'system', content: '你是一个有帮助的AI助手' },
        ...this.history.slice(-10) // 保留最近10条历史
      ],
      max_tokens: 500,
      temperature: 0.7
    });
    const reply = response.choices[0].message.content;
    this.history.push({ role: 'assistant', content: reply });
    return reply;
  }
}
// 交互式聊天
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout
});
const bot = new ChatBot(process.env.OPENCLAW_API_KEY);
async function startChat() {
  console.log('AI小龙虾聊天机器人已启动（输入exit退出）\n');
  while (true) {
    const question = await new Promise(resolve => {
      rl.question('你: ', resolve);
    });
    if (question.toLowerCase() === 'exit') {
      rl.close();
      break;
    }
    const answer = await bot.chat(question);
    console.log(`AI: ${answer}\n`);
  }
}
startChat();

注意事项

API密钥安全：不要将API密钥硬编码在代码中，使用环境变量
错误处理：总是处理可能的API错误
速率限制：遵守API的速率限制
数据隐私：不要发送敏感数据到API
成本控制：监控API使用量，避免意外费用

环境变量示例

# .env文件
OPENCLAW_API_KEY=your_api_key_here
OPENCLAW_BASE_URL=https://api.openclaw.ai
OPENCLAW_TIMEOUT=30000

这个集成方案涵盖了OpenClaw Node.js SDK的主要功能和使用方法，你可以根据具体需求进行调整和扩展。

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