@handit.ai/cli/src/monitor/index.js

AI-Powered Agent Instrumentation & Monitoring CLI Tool

const fs = require('fs-extra');
const path = require('path');
const ora = require('ora').default;

/**
 * Monitor agent execution and collect traces
 * @param {Object} config - Configuration object
 * @returns {Promise<Array>} - Array of collected traces
 */
async function monitorTraces(config) {
  const spinner = ora('Collecting execution traces...').start();
  
  try {
    // TODO: Implement actual trace collection
    // For now, return mock traces
    const traces = generateMockTraces();
    
    // Save traces to file
    await fs.writeJson(config.outputFile, traces, { spaces: 2 });
    
    spinner.succeed(`Collected ${traces.length} traces`);
    
    return traces;
  } catch (error) {
    spinner.fail('Failed to collect traces');
    throw error;
  }
}

/**
 * Generate mock traces for testing
 * @returns {Array} - Mock trace data
 */
function generateMockTraces() {
  return [
    {
      timestamp: new Date().toISOString(),
      function: 'main',
      file: 'index.js',
      line: 1,
      duration: 150,
      calls: ['fetch_data', 'process_data'],
      metadata: {
        input: { query: 'test' },
        output: { result: 'success' }
      }
    },
    {
      timestamp: new Date().toISOString(),
      function: 'fetch_data',
      file: 'index.js',
      line: 10,
      duration: 200,
      calls: ['call_api'],
      metadata: {
        url: 'https://api.example.com/data',
        method: 'GET',
        status: 200
      }
    },
    {
      timestamp: new Date().toISOString(),
      function: 'call_api',
      file: 'index.js',
      line: 20,
      duration: 180,
      calls: [],
      metadata: {
        response_size: 1024,
        cache_hit: false
      }
    },
    {
      timestamp: new Date().toISOString(),
      function: 'process_data',
      file: 'index.js',
      line: 30,
      duration: 300,
      calls: ['predict_model'],
      metadata: {
        data_size: 512,
        preprocessing_steps: ['normalize', 'encode']
      }
    },
    {
      timestamp: new Date().toISOString(),
      function: 'predict_model',
      file: 'index.js',
      line: 40,
      duration: 500,
      calls: [],
      metadata: {
        model: 'gpt-3.5-turbo',
        tokens_used: 150,
        confidence: 0.95
      }
    }
  ];
}

module.exports = {
  monitorTraces
};