企业级AI智能体生产实践指南
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LangChain分享三家大企业实践，教你如何构建可扩展的AI智能体平台，解决从实验到生产的过渡难题。
LangChain发布企业级AI智能体生产指南，整合施耐德电气、沃达丰和Monday.com的实践经验。指南涵盖共享智能体平台和LLMOps、生产可观测性与评估、多智能体架构、安全治理与数据驻留等内容。该指南旨在帮助团队从孤立实验扩展到企业级规模部署。
原文 · LangChain
What does it take to move from isolated agent experiments to production AI at enterprise scale? Our latest guide brings together lessons from @SchneiderElec , V @odafone , and @mondaydotcom across: - Shared agent platforms and LLMOps - Production observability and evaluation - Multi-agent architectures - Clearer boundaries between agents, tools, and environments - Security, governance, and data residency - Scaling adoption across teams and business units info.langchain.com/guide/scaling-… 💬 1 🔄 3 ❤️ 5 👀 1672 📊 2 ⚡