新闻
Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.com
LangChain · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Three European companies share how they scaled AI agents from prototypes to production using central platforms, observability tools, and LLMOps discipline.
- 为何重要
- Engineering teams deploying multiple agents across business units need infrastructure patterns to move beyond scattered proofs of concept into reliable operations.
- 注意
- Operating agents at scale requires anticipated infrastructure investment; many teams underestimate this need when building first prototypes and face production challenges later.
- agent
- llm
- multi-agent
- eval
这条新闻背后的模式
- Eval-Driven Development (Agent CI)
- Agentic Context Engineering (Evolving Playbook)
- Agent Observability & Tracing
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
每周一个模式、一个权衡、一个生产事故案例。为构建智能体系统的人准备的每周简报。
每周一封邮件,一键退订。您的地址仅用于发送简报。