klingai-audit-logging

# Klingai Audit Logging

## Overview

This skill demonstrates implementing comprehensive audit logging for Kling AI operations including API calls, user actions, security events, and compliance-ready logs.

## Prerequisites

- Kling AI API key configured
- Log storage (file, database, or cloud logging)
- Python 3.8+

## Instructions

Follow these steps for audit logging:

1. **Define Events**: Identify what to log
2. **Create Logger**: Implement logging infrastructure
3. **Capture Context**: Include all relevant metadata
4. **Store Securely**: Use tamper-evident storage
5. **Enable Search**: Make logs queryable

## Output

Successful execution produces:
- Timestamped audit events
- Tamper-evident checksums
- User activity summaries
- Compliance-ready logs

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- [Audit Logging Best Practices](https://cheatsheetseries.owasp.org/cheatsheets/Logging_Cheat_Sheet.html)
- [SOC 2 Logging Requirements](https://www.aicpa.org/soc)
- [GDPR Audit Requirements](https://gdpr.eu/article-30-records-of-processing-activities/)