Mux如何使用其@mux/ai SDK交付持久化视频工作流
Source: Vercel News
We invited Dylan Jhaveri from Mux to share how they shipped durable workflows with their @mux/ai SDK.
AI workflows have a frustrating habit of failing halfway through. Your content moderation check passes, you're generating video chapters, and then you hit a network timeout, a rate limit, or a random 500 from a provider having a bad day. Now you're stuck. Do you restart from scratch and pay for that moderation check again? Or do you write a bunch of state management code to remember where you left off?
This is where durable execution changes everything.
When we set out to build @mux/ai, an open-source SDK to help our customers build AI features on top of Mux's video infrastructure, we faced a fundamental question: how do we ship durable workflows in a way that's easy for developers to adopt, without forcing them into complex infrastructure decisions?
The answer was Vercel's Workflow DevKit.