klingai-rate-limits

name	klingai-rate-limits
description	Handle Kling AI API rate limits with backoff and queuing strategies. Use when hitting 429 errors or planning high-volume workflows. Trigger with phrases like 'klingai rate limit', 'kling ai 429', 'klingai throttle', 'kling api limits'.
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.18.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","kling-ai","rate-limits","reliability"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Kling AI Rate Limits

Overview

Kling AI enforces rate limits per API key. When exceeded, the API returns 429 Too Many Requests. This skill covers detection, backoff strategies, request queuing, and concurrent job management.

Rate Limit Tiers

Tier	Concurrent Tasks	Requests/Min	Notes
Free	1	10	66 daily credits cap
Standard	3	30	Per API key
Pro	5	60	Per API key
Enterprise	10+	Custom	Contact sales

Exponential Backoff with Jitter

import time, random, requests

def exponential_backoff(attempt: int, base: float = 1.0, max_wait: float = 60.0) -> float:
    """Calculate wait time with jitter to avoid thundering herd."""
    wait = min(base * (2 ** attempt), max_wait)
    jitter = random.uniform(0, wait * 0.5)
    return wait + jitter

def request_with_retry(method, url, headers, json=None, max_retries=5):
    for attempt in range(max_retries + 1):
        response = method(url, headers=headers, json=json, timeout=30)

        if response.status_code == 429:
            if attempt == max_retries:
                raise RuntimeError()
            wait = exponential_backoff(attempt)
            ()
            time.sleep(wait)
            

         response.status_code >= :
             attempt == max_retries:
                response.raise_for_status()
            time.sleep(exponential_backoff(attempt, base=))
            

        response.raise_for_status()
         response

     RuntimeError()