用 Ray 规模化构建框架无关的 AI Agent 基础设施
原标题：Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray
AI 摘要
InfoQ 发布 Deepak Mohanakumar Chandramouli 的演讲记录，介绍如何用开源分布式计算框架 Ray 构建并规模化运行 AI Agent。演讲先回顾 Agent 的组成要素（LLM、工具、记忆、提示词）以及可观测性和安全护栏，再以旅行规划 Agent 为例，演示从本地开发到远程部署的完整生命周期，并分享生产环境经验。
正文节选
Transcript Deepak Mohanakumar Chandramouli: Before we kick off, our focus today is basically building an agent and running it at scale with Ray. How many of you are familiar with Ray? Ray is an open-source distributed computing framework. It's mainly specializing in machine learning workloads, such as training, fine-tuning, running inference. Today what we are taking you through is also running agents on Ray at scale. That's the focus. This is the lineup for our session today. We are going to st