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Vercel News

Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0
Chat SDK adds Lark and Feishu support - Vercel
Ben SabicContent EngineerJosh SinghSoftware Engineer · 2026-05-31 · via Vercel News

Chat SDK now supports Lark and Feishu via a new vendor-official adapter.

Build bots that post, edit, and delete messages, stream replies via Lark's native cardkit typewriter API, send interactive cards, and react with emojis across both Lark and Feishu conversations.

import { Chat } from "chat";

import { createLarkAdapter } from "@larksuite/vercel-chat-adapter";

const bot = new Chat({

userName: "mybot",

adapters: {

lark: createLarkAdapter(),

},

});

bot.onNewMention(async (thread, message) => {

await thread.post(`You said: ${message.text}`);

});

Configure the adapter to respond to @-mentions in Lark and Feishu

The adapter connects over Lark's WebSocket transport, so bots run from any long-running Node process without exposing an HTTP webhook endpoint.

To get started, read the Lark or Feishu documentation.

The Complete Guide to Chat SDK

Learn how Chat SDK works end-to-end: from core concepts to building your first bot to deploying it across Slack, Teams, and more.

Read the guide