Preact Chat UI

createChatHook from @tanstack/ai-preact/ui binds your chat options and components once. Tool calls and approvals stay typed.

Each screen then renders the chat with one hook call. The API is the same as React. Widgets are Preact components. You supply every visible component. There is no default markup or style.

Quick setup

Install the packages:

shell

npm i @tanstack/ai @tanstack/ai-preact @tanstack/ai-openai

shell

pnpm add @tanstack/ai @tanstack/ai-preact @tanstack/ai-openai

shell

yarn add @tanstack/ai @tanstack/ai-preact @tanstack/ai-openai

shell

bun add @tanstack/ai @tanstack/ai-preact @tanstack/ai-openai

Put OPENAI_API_KEY in your server environment. Then add a POST route at /api/chat:

import {
  chat,
  chatParamsFromRequest,
  toServerSentEventsResponse,
} from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'

export async function POST(request: Request) {
  const { messages, threadId, runId } = await chatParamsFromRequest(request)

  const stream = chat({
    adapter: openaiText('gpt-6.1-sol'),
    messages,
    threadId,
    runId,
  })

  return toServerSentEventsResponse(stream)
}

Create src/chat.tsx:

tsx

import { fetchServerSentEvents } from '@tanstack/ai-preact'
import { createChatHook } from '@tanstack/ai-preact/ui'

const chatOptions = {
  connection: fetchServerSentEvents('/api/chat'),
}

const { useAppChat } = createChatHook({
  options: chatOptions,
  components: {
    layout: (props) => (
      <section>
        <props.Messages />
      </section>
    ),
    message: (props) => (
      <article data-role={props.message.role}>
        <props.Parts />
      </article>
    ),
  },
  partsComponents: {
    text: (props) => <p>{props.part.content}</p>,
    fallback: () => null,
  },
})

export function ChatScreen() {
  const chat = useAppChat({ threadId: 'support-chat' })

  return (
    <main>
      <chat.AppChat />
      <form
        onSubmit={(event) => {
          event.preventDefault()
          const field = event.currentTarget.elements.namedItem('message')
          if (!(field instanceof HTMLInputElement)) return
          const text = field.value.trim()
          if (!text) return
          field.value = ''
          void chat.sendMessage(text)
        }}
      >
        <input name="message" />
        <button type="submit">Send</button>
      </form>
    </main>
  )
}

Render <ChatScreen /> and send a message.

The reply streams into the page as the model writes it.

How it works

createChatHook runs once, at module scope. It binds chatOptions to your components.
useAppChat({ threadId }) creates one chat instance. chat.AppChat renders that instance with your components.
layout places the message list. message wraps one message. Parts picks a component for each part of that message.
partsComponents.text renders text. fallback catches every part type that you did not register.

Next steps

Each step adds one thing to the quick setup. The chat UI recipes have the full file for each one. The recipes use React, and the code is the same in Preact.

Render a tool

Add the tool to tools in chatOptions. Then register a component under the tool name in toolsComponents. part.input and part.output are typed from the tool schemas.

tsx

toolsComponents: {
  getWeather: (props) =>
    props.part.state === 'complete' ? (
      <p>
        {props.part.input?.city}: {props.part.output?.temperature}
      </p>
    ) : (
      <p>Looking up weather</p>
    ),
},

The factory needs one entry for every tool in chatOptions. Full example: Make a tool look right.

Ask before a tool runs

Set needsApproval: true on the tool. The tool component then gets an interrupt prop:

tsx

toolsComponents: {
  deleteFile: (props) =>
    props.interrupt?.status === 'pending' ? (
      <button onClick={() => props.interrupt?.resolveInterrupt(true)}>
        Delete {props.part.input?.path}
      </button>
    ) : (
      <p>{props.part.input?.path}</p>
    ),
},

resolveInterrupt(true) approves. resolveInterrupt(false) denies. Full example: Ask before a tool runs.

Ask the user your own question

Define the question with defineInterrupt. Add it to interrupts in chatOptions. Register a component under its id in interruptsComponents.generic, and render props.Interrupts in the layout:

tsx

const choosePlan = defineInterrupt({
  id: 'choosePlan',
  payloadSchema: z.object({ title: z.string() }),
  responseSchema: z.string(),
})

// In createChatHook:
interruptsComponents: {
  generic: {
    choosePlan: (props) => (
      <button onClick={() => props.interrupt.resolveInterrupt('pro')}>
        {props.interrupt.payload?.title}
      </button>
    ),
    fallback: (props) => <p>{props.interrupt.reason}</p>,
  },
},

The factory needs one entry for every interrupt id in chatOptions. Full example: Ask the user your own question.

Mapped components do not get chat as a prop. Call useChatContext() inside the widget. This also moves the composer into the layout: register it as input, then render props.Input.

tsx

import { fetchServerSentEvents } from '@tanstack/ai-preact'
import { createChatHook } from '@tanstack/ai-preact/ui'

const chatOptions = {
  connection: fetchServerSentEvents('/api/chat'),
}

const { useAppChat, useChatContext } = createChatHook({
  options: chatOptions,
  components: {
    input: () => {
      const chat = useChatContext()
      return (
        <form
          onSubmit={(event) => {
            event.preventDefault()
            const field = event.currentTarget.elements.namedItem('message')
            if (!(field instanceof HTMLInputElement)) return
            const text = field.value.trim()
            if (!text) return
            field.value = ''
            void chat.sendMessage(text)
          }}
        >
          <input name="message" disabled={chat.isLoading} />
          <button type="submit">Send</button>
        </form>
      )
    },
    layout: (props) => (
      <main>
        <props.Messages />
        <props.Input />
      </main>
    ),
    message: (props) => (
      <article>
        <props.Parts />
      </article>
    ),
  },
  partsComponents: {
    text: (props) => <p>{props.part.content}</p>,
    fallback: () => null,
  },
})

export function ChatScreen() {
  const chat = useAppChat({ threadId: 'support-chat' })
  return <chat.AppChat />
}

Call useChatContext() only inside chat.AppChat. A call outside that tree throws. For hooks inside a widget, import them from preact/hooks.

Render markdown

@tanstack/ai-preact/ui has no TextPart component. Render part.content in your own text part, with the markdown library of your choice.

Move a widget to its own file and type its props with ToolProps, PartProps, or InterruptProps. Pass typeof chatOptions and a name:

tsx

import { fetchServerSentEvents } from '@tanstack/ai-preact'
import { createChatHook, type ToolProps } from '@tanstack/ai-preact/ui'
import { toolDefinition } from '@tanstack/ai'
import { z } from 'zod'

const getWeather = toolDefinition({
  name: 'getWeather',
  description: 'Look up weather',
  inputSchema: z.object({ city: z.string() }),
  outputSchema: z.object({ temperature: z.number() }),
}).client()

const chatOptions = {
  connection: fetchServerSentEvents('/api/chat'),
  tools: [getWeather],
}

export function WeatherTool(
  props: ToolProps<typeof chatOptions, 'getWeather'>,
) {
  return <strong>{props.part.input?.city}</strong>
}

export const { useAppChat } = createChatHook({
  options: chatOptions,
  components: {
    layout: (props) => <props.Messages />,
    message: (props) => (
      <article>
        <props.Parts />
      </article>
    ),
  },
  partsComponents: { fallback: () => null },
  toolsComponents: { getWeather: WeatherTool },
})

Put chatOptions in a shared module so every widget file can import its type.

You now have a typed chat UI in Preact. Each widget is your own component.

Advanced

Slots and props

The config keys, part keys, and prop types are the same as in React. See Every widget slot. In Preact, layout gets Messages, Interrupts, and Queue, plus Input when you register input.

useAppChat() takes per-instance options: threadId (required), initialMessages, live, and forwardedProps.