Agents are particularly hard-to-debug software. For one, and by design, AI models behave in non-deterministic ways. Even two identical prompts don't always yield the same output. But agents are also complex distributed systems. They involve multiple steps of computation across functions and sandboxes, touching dozens of API services that can go down, rate limit you, etc. Nailing down observability out of the box for on Vercel was a key priority for the team, and the feedback so far has been 🔥↓
agent 尤其是很难调试的软件。首先，而且这是设计使然，AI 模型会以非确定性的方式运行。即使是两个完全相同的 prompt，也不总会产生相同的输出。但 agent 也是复杂的分布式系统。它们涉及跨函数和 sandbox 的多步计算，会触达几十个 API 服务，而这些服务可能会宕机、对你进行 rate limit 等等。为 Vercel 开箱即用地做好 observability（可观测性），是团队的一个关键优先事项，而到目前为止收到的反馈非常 🔥↓
I made a @hyperframes_ video of how I found out this morning
我做了一个 @hyperframes_ 视频，讲我今天早上是怎么发现这件事的
The UI for AI is here. It's @shadcn
AI 的 UI 已经来了。它就是 @shadcn