klingai-rate-limits

# 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 ```python 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("Rate limit: max retries exceeded") wait = exponential_backoff(attempt) print(f"429 rate limited. Waiting {wait:.1f}s (attempt {attempt + 1})") time.sleep(wait) continue if response.status_code >= 500: if attempt == max_retries: response.raise_for_st...