📄 中文摘要
随着 LLM 驱动的应用快速增长，Vercel AI SDK 等框架使得构建这些应用变得更加简单。然而，AI 的复杂性也随之而来，延迟问题、不可预测的输出和不透明的故障可能影响用户体验。因此，监控变得至关重要。通过使用 OpenTelemetry 进行标准化的仪器化，以及利用 SigNoz 实现可观察性，可以在最小的设置下跟踪性能、检测错误，并深入了解 AI 应用的行为。
使用 OpenTelemetry 和 SigNoz 观察 Vercel AI SDK
出处: Observing Vercel AI SDK with OpenTelemetry + SigNoz
发布: 2026年2月25日
📄 English Summary
Observing Vercel AI SDK with OpenTelemetry + SigNoz
LLM-powered applications are rapidly growing, and frameworks like the Vercel AI SDK simplify their development. However, the complexity associated with AI introduces challenges such as latency issues, unpredictable outputs, and opaque failures that can adversely affect user experience. Monitoring becomes essential in this context. By employing OpenTelemetry for standard instrumentation and SigNoz for observability, developers can effectively track performance, detect errors, and gain valuable insights into the behavior of their AI applications with minimal setup.