Agent集成

// 为不同数据格式创建专用工具
const dataProcessingTools = [
  tool(
    async ({ filePath, operation }) => {
      // 实现细节...
      return { success: true, data: { processed: true, operation } };
    },
    {
      name: 'csv_processor',
      description: 'Process CSV data files and perform data analysis',
      schema: z.object({ 
        filePath: z.string(),
        operation: z.enum(['parse', 'analyze', 'transform'])
      })
    }
  ),
  tool(
    async ({ url, method, headers }) => {
      // 实现细节...
      return { success: true, data: { status: 200, response: 'API response' } };
    },
    {
      name: 'http_client',
      description: 'Make HTTP requests to external APIs',
      schema: z.object({ 
        url: z.string(),
        method: z.enum(['GET', 'POST', 'PUT', 'DELETE']).default('GET'),
        headers: z.record(z.string()).optional()
      })
    }
  )
];

// 创建包含多种专用工具的Agent
const smartAgent = /* Agent初始化 */ {
  /* ... */
  tools: [...dataProcessingTools, ...filesystemToolkit.getTools()],
  /* ... */
};

// 创建具备错误处理能力的稳健Agent
const resilientAgent = /* Agent初始化 */ {
  /* ... */
  tools: [
    ...filesystemToolkit.getTools(),
    new BuiltInCodeExecutor()
  ],
  /* controlFlow: { errorRetryLimit: 2, maxSteps: 10 } */
};

// 使用时的错误处理
try {
  const response = await resilientAgent.run('Process this complex request');
  console.log('Success:', response);
} catch (error) {
  console.error('Agent error:', error.message);
  // 实施回退策略或用户通知
}

const validatedTool = tool(
  async ({ filePath, operation }) => {
    try {
      const fs = await import('fs/promises');
      
      // 执行前验证
      try {
        await fs.access(filePath);
        const stats = await fs.stat(filePath);
        if (stats.size > 10 * 1024 * 1024) { // 10MB限制
          return { 
            success: false, 
            error: 'File too large (max 10MB)', 
            error_type: 'validation' 
          };
        }
      } catch {
        return { 
          success: false, 
          error: 'File does not exist', 
          error_type: 'validation' 
        };
      }
      
      // 带错误处理的操作执行
      const operations = {
        read: async () => ({ content: await fs.readFile(filePath, 'utf-8') }),
        analyze: async () => {
          const content = await fs.readFile(filePath, 'utf-8');
          return { 
            lines: content.split('\n').length,
            characters: content.length,
            words: content.split(/\s+/).length
          };
        },
        transform: async () => ({ message: 'Transform operation completed' })
      };
      
      const result = await operations[operation]();
      
      // 执行后验证
      if (!result || typeof result !== 'object') {
        return {
          success: false,
          error: 'Invalid processing result',
          error_type: 'execution'
        };
      }
      
      return { success: true, data: result };
      
    } catch (error) {
      return { 
        success: false, 
        error: error.message, 
        error_type: 'execution' 
      };
    }
  },
  {
    name: 'validated_file_processor',
    description: 'Process files with comprehensive validation and security checks',
    schema: z.object({
      filePath: z.string().refine(
        (path) => !path.includes('..') && !path.startsWith('/'),
        'File path must be relative and safe'
      ),
      operation: z.enum(['read', 'analyze', 'transform'])
    })
  }
);

// 在Agent中使用已验证工具
const secureAgent = /* Agent初始化 */ {
  /* ... */
  tools: [validatedTool],
  /* ... */
};

import { EventEmitter } from 'events';

// 为长时间运行操作创建流式工具
const streamingTool = tool(
  async ({ dataset, batchSize }) => {
    const stream = new EventEmitter();
    
    // 模拟带进度更新的流式处理
    [25, 50, 75, 100].forEach((progress, index) => {
      setTimeout(() => {
        const event = progress === 100 ? 'complete' : 'progress';
        stream.emit(event, { 
          progress, 
          message: `Processing batch ${index + 1}`,
          timestamp: new Date().toISOString()
        });
      }, (index + 1) * 1000);
    });
    
    return {
      success: true,
      stream,
      data: { 
        message: 'Streaming processing started', 
        batchSize,
        estimatedDuration: '4 seconds'
      }
    };
  },
  {
    name: 'streaming_processor',
    description: 'Process large datasets with real-time progress updates',
    schema: z.object({
      dataset: z.string(),
      batchSize: z.number().default(100)
    })
  }
);

// 创建流式Agent
const streamingAgent = /* Agent初始化 */ {
  /* ... */
  tools: [streamingTool],
  /* ... */
};

// 启用流式的使用方式
const response = await streamingAgent.run(
  'Process the large dataset with real-time progress updates',
  /* state, options */
);

// 处理流式响应
if (response.stream) {
  response.stream.subscribe({
    next: (chunk) => {
      console.log('Streaming chunk:', chunk);
      // 使用进度信息更新UI
    },
    error: (error) => {
      console.error('Stream error:', error);
      // 处理流式错误
    },
    complete: () => {
      console.log('Stream completed');
      // 完成UI更新
    }
  });
}

// 创建支持并行执行的Agent
const parallelAgent = /* Agent初始化 */ {
  /* ... */
  tools: [
    calculatorTool,
    ...filesystemToolkit.getTools()
  ],
  /* ... */
};

// Agent会自动并行执行独立的工具调用
const response = await parallelAgent.run(
  'Calculate 15 * 23, read the config.json file, and check if package.json exists'
);