backend/core/audit_logger.py

import datetime


def audit_log(component: str, action: str):
    """
    Prosty logger zdarzeń na potrzeby zidentyfikowania przebiegów w LangGraph.
    """
    timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    log_line = f"[{timestamp}] [{component}] {action}"
    print(log_line)

    # Docelowo tutaj poleci zapis do ElasticSearch / PostgreSQL Audit Table