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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 table rendering and streaming markdown - Ve...
Malte UblCTO, VercelHayden BleaselDX Engineer · 2026-03-06 · via Vercel News

Chat SDK now renders tables natively across all platform adapters and converts markdown to each platform's native format during streaming.

The Table() component is a new card element in Chat SDK that gives you a clean, composable API for rendering tables across every platform adapter. Pass in headers and rows, and Chat SDK handles the rest.

import { Table } from "chat";

await thread.post(

Table({

headers: ["Model", "Latency", "Cost"],

rows: [

["claude-4.6-sonnet", "1.2s", "$0.003"],

["gpt-4.1", "0.9s", "$0.005"],

],

})

);

The adapter layer converts the table to the best format each platform supports.

Slack renders Block Kit table blocks, Teams and Discord use GFM markdown tables, Google Chat uses monospace text widgets, and Telegram converts tables to code blocks. GitHub and Linear already supported tables through their markdown pipelines and continue to work as before. Plain markdown tables (without Table()) are also converted through the same pipeline.

Streaming markdown has also improved across the board. Slack's native streaming path now renders bold, italic, lists, and other formatting in real time as the response arrives, rather than resolving when the message is complete. All other platforms use the fallback streaming path, so streamed text now passes through each adapter's markdown-to-native conversion pipeline at each intermediate edit. Previously, these adapters received raw markdown strings, so users saw literal **bold** syntax until the final message.

Adapters without platform-specific rendering now include improved defaults, so new formatting capabilities work across all platforms without requiring adapter-by-adapter updates.

Update to the latest Chat SDK to get started, and view the 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