":{"type":"model_cooldown","message":"All credentials for model claude-opus-4-6-...

2026年04月02日 16:32 processing

错误信息

⎿  429 {"error":{"type":"model_cooldown","message":"All credentials for model claude-opus-4-6-thinking are cooling down (request id: 20260402083152361581924n3w8k4Dg)"},"type":"error"}

AI 解决方案

报错分析报告

1.错误翻译


原文:All credentials for model claude-opus-4-6-thinking are cooling down
译文:模型claude-opus-4-6-thinking的所有凭证正在冷却中

2.原因分析


  • 根本原因:调用claude-opus-4-6-thinking模型的凭证因触发频率限制进入冷却期(限流保护)。

  • 发生位置:发起该模型请求的API调用处(如代码中调用DMXAPI的接口)。
  • 3. 解决方案


    import time
    import requests
    
    def call_model_with_retry(model_id, payload, max_retries=3, initial_delay=5):
        for attempt in range(max_retries):
            response = requests.post(
                "https://api.dmxapi.com/v1/chat/completions",
                json={"model": model_id, **payload}
            )
            if response.status_code != 429:
                return response.json()
            # 提取错误信息中的冷却提示(可选)
            error_info = response.json().get("error", {})
            print(f"Attempt {attempt+1} failed: {error_info.get('message')}")
            # 指数退避延迟(初始5秒,每次翻倍)
            delay = initial_delay * (2 ** attempt)
            time.sleep(delay)
        raise Exception("Max retries exceeded for model cooldown")
    
    # 使用示例
    try:
        result = call_model_with_retry(
            model_id="claude-opus-4-6-thinking",
            payload={"messages": [{"role": "user", "content": "Hello"}]}
        )
    except Exception as e:
        print(f"最终失败: {e}")
    

    4. 预防措施


  • 最佳实践1:监控API调用频率(如用Prometheus统计QPS),确保不超过模型配额;

  • 最佳实践2:集成指数退避重试库(如Python的tenacity),自动处理冷却/限流错误。

  • 推荐工具:使用Postman测试接口阈值,或用curl模拟高并发调用验证限流规则。