klingai-audit-logging

# Kling AI Audit Logging ## Overview Compliance-grade audit logging for Kling AI API operations. Every task submission, status change, and credential usage is captured in tamper-evident structured logs. ## Audit Event Schema ```python import json import hashlib import time from datetime import datetime from pathlib import Path class AuditLogger: """Append-only audit log with integrity checksums.""" def __init__(self, log_dir: str = "audit"): self.log_dir = Path(log_dir) self.log_dir.mkdir(exist_ok=True) self._prev_hash = "genesis" def _compute_hash(self, entry: dict) -> str: raw = json.dumps(entry, sort_keys=True) + self._prev_hash return hashlib.sha256(raw.encode()).hexdigest()[:16] def log(self, event_type: str, actor: str, details: dict): """Write a tamper-evident audit entry.""" entry = { "timestamp": datetime.utcnow().isoformat() + "Z", "event_type": event_type, "actor": actor, "details": details, "prev_hash": self._prev_hash, } entry["hash"] = self._compute_hash(entry) self._prev_hash = entry["hash"] date = datetime.utcnow().strftime("%Y-%m-%d") filepath = self.log_dir / f"audit-{date}.jsonl" with open(filepath, "a") as f: f.write(json.dumps(entry) + "\n") return entry["hash"] ``` ## Audit Events for Kling AI ```python class KlingAuditClient: """Kling client...