📄 中文摘要
在使用大型语言模型（LLM）构建应用程序时，可能会面临服务中断的风险，例如 OpenAI、Google 或 Anthropic 的服务不可用。为了解决这个问题，电路断路器模式应运而生。它的作用是监控应用程序向 LLM 提交的请求，当检测到 LLM 返回错误或响应时间过长时，电路断路器会立即停止发送请求，从而防止故障蔓延，并为 LLM 提供商争取恢复时间。这一机制为 AI 驱动的应用程序提供了重要的安全保障，确保在服务中断时应用程序仍能保持稳定运行。
LLM 提供商的电路断路器：确保 AI 驱动应用的弹性
📄 English Summary
Circuit Breakers for LLM Providers: Ensuring Resilience in AI-Powered Applications
The use of large language models (LLMs) in application development comes with the risk of service outages from providers like OpenAI, Google, or Anthropic. To mitigate this risk, the circuit breaker pattern is introduced. This mechanism monitors requests sent to LLMs and, if it detects errors or prolonged response times, it immediately stops sending further requests. This action prevents cascading failures and allows the LLM provider time to recover. The circuit breaker serves as a crucial safety measure for AI-powered applications, ensuring stability during service disruptions.