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:
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Understand Limits: Know the rate limit structure
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Implement Detection: Detect rate limit responses
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Add Backoff: Implement exponential backoff
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Queue Requests: Add request queuing
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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
