| name | klingai-rate-limits |
|---|---|
| description | Handle Kling AI rate limits with proper backoff strategies. Use when experiencing 429 errors or building high-throughput systems. Trigger with phrases like 'klingai rate limit', 'kling ai 429', 'klingai throttle', 'klingai backoff'. |
| allowed-tools | Read, Write, Edit, Grep |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <[email protected]> |
Klingai Rate Limits
Overview
This skill teaches rate limit handling patterns including exponential backoff, token bucket algorithms, request queuing, and concurrent job management for reliable Kling AI integrations.
Prerequisites
- Kling AI integration
- Understanding of HTTP status codes
- Python 3.8+ or Node.js 18+
Instructions
Follow these steps to handle rate limits:
- Understand Limits: Know the rate limit structure
- Implement Detection: Detect rate limit responses
- Add Backoff: Implement exponential backoff
- Queue Requests: Add request queuing
- Monitor Usage: Track rate limit consumption
Output
Successful execution produces: - Rate limit handling without errors - Smooth request throughput - Proper backoff behavior - Concurrent job management
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.