flexorch-audit

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Overview

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Features

• PII detection — 46 types across TR, EU, and US jurisdictions
• Text masking — 4 strategies: redact, replace, token, hash
• Quality metrics — grade (A–D), score, noise ratio, language detection
• Compliance summary — KVKK / GDPR risk categories
• LLM preparation — redact_for_llm() one-liner, token estimation
• LangChain & LlamaIndex — drop-in loaders with quality filtering
• Zero dependencies — pure Python / pure JavaScript, no heavy ML models

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Quick example

from flexorch_audit import audit

result = audit("""
  Invoice from Acme Ltd.
  Contact: john.doe@acme.com
  IBAN: TR33 0006 1005 1978 6457 8413 26
  Amount: €12,500
""")

print(result["quality_grade"])        # "A"
print(result["pii_summary"]["count"]) # 2
print(result["detected_language"])    # "en"

import { audit } from '@flexorch/audit';

const result = await audit(`
  Invoice from Acme Ltd.
  Contact: john.doe@acme.com
  IBAN: TR33 0006 1005 1978 6457 8413 26
  Amount: €12,500
`);

console.log(result.qualityGrade);         // "A"
console.log(result.piiSummary.count);     // 2
console.log(result.detectedLanguage);     // "en"

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Relationship to FlexOrch platform

• Structured extraction for 9 document types
• Managed pipeline (async jobs, job history)
• Dataset building and export
• Cloud connectors (S3, GCS, Azure)
• Compliance reports and audit trail
• Team management

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Links

• PyPI
• npm
• GitHub