LLMAnalyzer

new LLMAnalyzer()

const LLMAnalyzer = require('kafkacode/dist/LLMAnalyzer');

const analyzer = new LLMAnalyzer();

analyzer.verbose

async analyzeFile(
  filePath: string,
  content: string,
  patternFindings: Finding[]
): Promise<Finding[]>

const LLMAnalyzer = require('kafkacode/dist/LLMAnalyzer');
const PatternScanner = require('kafkacode/dist/PatternScanner');

const patternScanner = new PatternScanner();
const llmAnalyzer = new LLMAnalyzer();

const content = fs.readFileSync('./src/config.js', 'utf-8');

// First, pattern scan
const patternFindings = patternScanner.scanContent('./src/config.js', content);

// Then, LLM analysis
const llmFindings = await llmAnalyzer.analyzeFile(
  './src/config.js',
  content,
  patternFindings
);

console.log(`LLM found ${llmFindings.length} additional issues`);

const analyzer = new LLMAnalyzer();

const code = `
  const config = {
    apiKey: process.env.API_KEY,  // Good
    password: "hardcoded123"      // Bad
  };
`;

const findings = await analyzer.analyzeFile('config.js', code, []);

findings.forEach(f => {
  console.log(`${f.severity}: ${f.description}`);
  console.log(`Recommendation: ${f.recommendation}`);
});

const patternScanner = new PatternScanner();
const llmAnalyzer = new LLMAnalyzer();

async function fullAnalysis(filePath) {
  const content = fs.readFileSync(filePath, 'utf-8');

  // Pattern-based detection
  const patternFindings = patternScanner.scanContent(filePath, content);

  // AI-powered analysis
  const llmFindings = await llmAnalyzer.analyzeFile(
    filePath,
    content,
    patternFindings
  );

  return [...patternFindings, ...llmFindings];
}