Microsoft Presidio Alternative for Node.js: 0.8ms In-Memory vs 40ms Docker

// ❌ BEFORE: Microsoft Presidio (2 HTTP Calls, Docker, 45ms+ latency)
/*
const analyzerRes = await fetch('http://presidio-analyzer:5001/analyze', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({ text: userInput, language: 'en' })
});
const analysisResults = await analyzerRes.json();

const anonymizerRes = await fetch('http://presidio-anonymizer:5002/anonymize', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({ text: userInput, analyzer_results: analysisResults })
});
const { text: sanitizedPrompt } = await anonymizerRes.json();
*/

// ✅ AFTER: PrivacyScrubber SDK (1 In-Memory Call, 0 Docker, <1ms latency)
import { scrubText, unscrubText } from '@privacyscrubber/sdk';

const { sanitizedText, sessionMap } = scrubText(userInput, {
  profile: 'General', // or 'Healthcare', 'Financial', 'DevOps'
  preserveFormatting: true
});

// Pass sanitizedText to OpenAI, Anthropic, or local model...
const aiResponse = await callLLM(sanitizedText);

// Deterministically restore original values in local RAM:
const cleartextResponse = unscrubText(aiResponse, sessionMap);