createChatHook from @tanstack/ai-octane/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 Octane components. You supply every visible component. There is no default markup or style.
npm i @tanstack/ai @tanstack/ai-octane @tanstack/ai-openai octanepnpm add @tanstack/ai @tanstack/ai-octane @tanstack/ai-openai octaneyarn add @tanstack/ai @tanstack/ai-octane @tanstack/ai-openai octanebun add @tanstack/ai @tanstack/ai-octane @tanstack/ai-openai octane@tanstack/ai-octane publishes uncompiled .tsrx source. Add octane/compiler/vite (or the rspack or rspeedy plugin) to your app build.
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)
}import { fetchServerSentEvents } from '@tanstack/ai-octane'
import { createChatHook } from '@tanstack/ai-octane/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>
)
}The reply streams into the page as the model writes it.
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 option names are the same in Octane.
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.
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.
Set needsApproval: true on the tool. The tool component then gets an interrupt prop:
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.
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:
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.
import { fetchServerSentEvents } from '@tanstack/ai-octane'
import { createChatHook } from '@tanstack/ai-octane/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 octane.
@tanstack/ai-octane/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 key. For a tool widget, the key is the tool name, and part.input and part.output are typed for that tool:
import { fetchServerSentEvents } from '@tanstack/ai-octane'
import { createChatHook, type ToolProps } from '@tanstack/ai-octane/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 Octane. Each widget is your own component.
The config keys, part keys, and prop types are the same as in React. See Every widget slot. In Octane, layout gets Messages, Interrupts, and Queue, plus Input when you register input.
useAppChat() takes per-instance options: threadId (required), initialMessages, live, and forwardedProps.
These work the same as in React: