Chat Sdk logo

Chat Sdk

Organization
vercel
chat-sdk

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.

Overview

Publishervercel
Repositoryvercel-plugin
Skill namechat-sdk
Stars
286
Forks
56
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vercel on GitHub. Read the source before you install it.

Installation

Install the Chat Sdk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel/vercel-plugin.git /tmp/vercel-plugin
mkdir -p .claude/skills
cp -r /tmp/vercel-plugin/skills/chat-sdk .claude/skills/chat-sdk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chat Sdk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chat Sdk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chat Sdk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Chat SDK

Unified TypeScript SDK for building chat bots across Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp. Write bot logic once, deploy everywhere.

Start with published sources

When Chat SDK is installed in a user project, inspect the published files that ship in node_modules:

node_modules/chat/docs/                    # bundled docs
node_modules/chat/dist/index.d.ts          # core API types
node_modules/chat/dist/jsx-runtime.d.ts    # JSX runtime types
node_modules/chat/docs/contributing/       # adapter-authoring docs
node_modules/chat/docs/guides/             # framework/platform guides

If one of the paths below does not exist, that package is not installed in the project yet.

Read these before writing code:

  • node_modules/chat/docs/getting-started.mdx — install and setup
  • node_modules/chat/docs/usage.mdxChat config and lifecycle
  • node_modules/chat/docs/handling-events.mdx — event routing and handlers
  • node_modules/chat/docs/threads-messages-channels.mdx — thread/channel/message model
  • node_modules/chat/docs/posting-messages.mdx — post, edit, delete, schedule
  • node_modules/chat/docs/streaming.mdx — AI SDK integration and streaming semantics
  • node_modules/chat/docs/cards.mdx — JSX cards
  • node_modules/chat/docs/actions.mdx — button/select interactions
  • node_modules/chat/docs/modals.mdx — modal submit/close flows
  • node_modules/chat/docs/slash-commands.mdx — slash command routing
  • node_modules/chat/docs/direct-messages.mdx — DM behavior and openDM()
  • node_modules/chat/docs/files.mdx — attachments/uploads
  • node_modules/chat/docs/state.mdx — persistence, locking, dedupe
  • node_modules/chat/docs/adapters.mdx — cross-platform feature matrix
  • node_modules/chat/docs/api/chat.mdx — exact Chat API
  • node_modules/chat/docs/api/thread.mdx — exact Thread API
  • node_modules/chat/docs/api/message.mdx — exact Message API
  • node_modules/chat/docs/api/modals.mdx — modal element and event details

For the specific adapter or state package you are using, inspect that installed package's dist/index.d.ts export surface in node_modules.

Quick start

typescript
import { Chat } from "chat";
import { createSlackAdapter } from "@chat-adapter/slack";
import { createRedisState } from "@chat-adapter/state-redis";

const bot = new Chat({
  userName: "mybot",
  adapters: {
    slack: createSlackAdapter(),
  },
  state: createRedisState(),
  dedupeTtlMs: 600_000,
});

bot.onNewMention(async (thread) => {
  await thread.subscribe();
  await thread.post("Hello! I'm listening to this thread.");
});

bot.onSubscribedMessage(async (thread, message) => {
  await thread.post(`You said: ${message.text}`);
});

Core concepts

  • Chat — main entry point; coordinates adapters, routing, locks, and state
  • Adapters — platform-specific integrations for Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, and WhatsApp
  • State adapters — persistence for subscriptions, locks, dedupe, and thread state
  • Thread — conversation context with post(), stream(), subscribe(), setState(), startTyping()
  • Message — normalized content with text, formatted, attachments, author info, and platform raw
  • Channel — container for threads and top-level posts

Event handlers

HandlerTrigger
onNewMentionBot @-mentioned in an unsubscribed thread
onDirectMessageNew DM in an unsubscribed DM thread
onSubscribedMessageAny message in a subscribed thread
onNewMessage(regex)Regex match in an unsubscribed thread
onReaction(emojis?)Emoji added or removed
onAction(actionIds?)Button clicks and select/radio interactions
onModalSubmit(callbackId?)Modal form submitted
onModalClose(callbackId?)Modal dismissed/cancelled
onSlashCommand(commands?)Slash command invocation
onAssistantThreadStartedSlack assistant thread opened
onAssistantContextChangedSlack assistant context changed
onAppHomeOpenedSlack App Home opened
onMemberJoinedChannelSlack member joined channel event

Read node_modules/chat/docs/handling-events.mdx, node_modules/chat/docs/actions.mdx, node_modules/chat/docs/modals.mdx, and node_modules/chat/docs/slash-commands.mdx before wiring handlers. onDirectMessage behavior is documented in node_modules/chat/docs/direct-messages.mdx.

Streaming

Pass any AsyncIterable<string> to thread.post() or thread.stream(). For AI SDK, prefer result.fullStream over result.textStream when available so step boundaries are preserved.

typescript
import { ToolLoopAgent } from "ai";

const agent = new ToolLoopAgent({ model: "anthropic/claude-4.5-sonnet" });

bot.onNewMention(async (thread, message) => {
  const result = await agent.stream({ prompt: message.text });
  await thread.post(result.fullStream);
});

Key details:

  • streamingUpdateIntervalMs controls post+edit fallback cadence
  • fallbackStreamingPlaceholderText defaults to "..."; set null to disable
  • Structured StreamChunk support is Slack-only; other adapters ignore non-text chunks

Cards and modals (JSX)

Set jsxImportSource: "chat" in tsconfig.json.

Card components:

  • Card, CardText, Section, Fields, Field, Button, CardLink, LinkButton, Actions, Select, SelectOption, RadioSelect, Table, Image, Divider

Modal components:

  • Modal, TextInput, Select, SelectOption, RadioSelect
tsx
await thread.post(
  <Card title="Order #1234">
    <CardText>Your order has been received.</CardText>
    <Actions>
      <Button id="approve" style="primary">Approve</Button>
      <Button id="reject" style="danger">Reject</Button>
    </Actions>
  </Card>
);

Adapter inventory

Official platform adapters

PlatformPackageFactory
Slack@chat-adapter/slackcreateSlackAdapter
Microsoft Teams@chat-adapter/teamscreateTeamsAdapter
Google Chat@chat-adapter/gchatcreateGoogleChatAdapter
Discord@chat-adapter/discordcreateDiscordAdapter
GitHub@chat-adapter/githubcreateGitHubAdapter
Linear@chat-adapter/linearcreateLinearAdapter
Telegram@chat-adapter/telegramcreateTelegramAdapter
WhatsApp Business Cloud@chat-adapter/whatsappcreateWhatsAppAdapter

Official state adapters

State backendPackageFactory
Redis@chat-adapter/state-rediscreateRedisState
ioredis@chat-adapter/state-iorediscreateIoRedisState
PostgreSQL@chat-adapter/state-pgcreatePostgresState
Memory@chat-adapter/state-memorycreateMemoryState

Community adapters

  • chat-state-cloudflare-do
  • @beeper/chat-adapter-matrix
  • chat-adapter-imessage
  • @bitbasti/chat-adapter-webex
  • @resend/chat-sdk-adapter
  • chat-adapter-baileys

Coming-soon platform entries

  • Instagram
  • Signal
  • X
  • Messenger

Building a custom adapter

Read these published docs first:

  • node_modules/chat/docs/contributing/building.mdx
  • node_modules/chat/docs/contributing/testing.mdx
  • node_modules/chat/docs/contributing/publishing.mdx

Also inspect:

  • node_modules/chat/dist/index.d.tsAdapter and related interfaces
  • node_modules/@chat-adapter/shared/dist/index.d.ts — shared errors and utilities
  • Installed official adapter dist/index.d.ts files — reference implementations for config and APIs

A custom adapter needs request verification, webhook parsing, message/thread/channel operations, ID encoding/decoding, and a format converter. Use BaseFormatConverter from chat and shared utilities from @chat-adapter/shared.

Webhook setup

Each registered adapter exposes bot.webhooks.<name>. Wire those directly to your HTTP framework routes. See node_modules/chat/docs/guides/slack-nextjs.mdx and node_modules/chat/docs/guides/discord-nuxt.mdx for framework-specific route patterns.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Chat Sdk AI skill do?

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.

Why use Chat Sdk on TypingMind?

Because you install it once and use it with any model. Chat Sdk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chat Sdk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/vercel-plugin/tree/main/skills/chat-sdk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Chat Sdk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chat Sdk?

As many as you like. As long as a model supports skills, you can use Chat Sdk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chat Sdk AI skill free?

It is published on GitHub by vercel. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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