📄 中文摘要
NodeLLM 1.15 引入了一套强大的工具，旨在提升 AI 工作流的可靠性、可预测性和类型安全性。构建可靠的 AI 系统不仅需要高质量的模型，还需要能够应对 LLM 输出固有不确定性的基础设施。常见的问题之一是验证失败，定义的 Zod 模式可能与模型返回的输出不符，例如缺少必需字段或类型不匹配。新版本通过自动化模式自我修正功能，减少了这些摩擦点，使开发者能够更轻松地处理 LLM 驱动的应用程序中的输出问题。
NodeLLM 1.15：自动化模式自我修正与中间件生命周期
出处: NodeLLM 1.15: Automated Schema Self-Correction and Middleware Lifecycle
发布: 2026年3月29日
📄 English Summary
NodeLLM 1.15: Automated Schema Self-Correction and Middleware Lifecycle
NodeLLM 1.15 introduces a powerful set of tools aimed at enhancing the reliability, predictability, and type safety of AI workflows. Building reliable AI systems requires not only high-quality models but also infrastructure capable of handling the inherent unpredictability of LLM outputs. A common friction point is validation failure, where the defined Zod schema may not align with the model's output, such as missing required fields or type mismatches. The new version addresses these issues through automated schema self-correction, allowing developers to more easily manage output discrepancies in LLM-powered applications.