klingai-rate-limits
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'.
- License 许可
- MIT
- 最近更新
- 2026-03-20
- Stars
- ★ 4
- Forks
- 0
01 前言 Front Matter
- name
- klingai-rate-limits
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- 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
- compatible-with
- claude-code, codex, openclaw
02 资源文件 6
- 参考文档references/concurrent-job-manager.md1.6 KB
- 参考文档references/errors.md215 B
- 参考文档references/examples.md75 B
- 参考文档references/exponential-backoff.md1.6 KB
- 参考文档references/request-queue.md2.1 KB
- 参考文档references/token-bucket-rate-limiter.md2.2 KB
03 SKILL.md 正文
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 ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.
Examples
See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.
Resources
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