klingai-debug-bundle

Execute set up comprehensive logging and debugging for Kling AI. Use when investigating issues or monitoring requests. Trigger with phrases like 'klingai debug', 'kling ai logging', 'trace klingai', 'monitor klingai requests'.

Klingai Debug Bundle

Overview

This skill shows how to implement request/response logging, timing metrics, and debugging utilities for Kling AI integrations to quickly identify and resolve issues.

Prerequisites

Kling AI integration
Python 3.8+ or Node.js 18+
Logging infrastructure (optional but recommended)

Instructions

Follow these steps to set up debugging:

Configure Logging: Set up structured logging
Add Request Tracing: Track all API requests
Implement Timing: Measure performance metrics
Create Debug Utilities: Build diagnostic tools
Set Up Alerts: Configure error notifications

Output

Successful execution produces:

Structured logging output
Request traces with timing
Performance metrics dashboard
Debug reports for troubleshooting

Error Handling

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

Examples

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