This recipe is a chat UI with four components: layout, message, text, and input. It has no tools, no interrupts, and no styles.
For a full TanStack Start app with your own API key, read the Basic Chat tutorial.
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)
}import { fetchServerSentEvents } from '@tanstack/ai-react'
import { createChatHook } from '@tanstack/ai-react/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" />
<button type="submit">Send</button>
</form>
)
},
layout: ({ Messages, Input }) => (
<main>
<Messages />
<Input />
</main>
),
message: ({ message, Parts }) => (
<article data-role={message.role}>
<Parts />
</article>
),
},
partsComponents: {
text: ({ part }) => <p>{part.content}</p>,
fallback: () => null,
},
})
export function ChatScreen() {
const chat = useAppChat({ threadId: 'support-chat' })
return <chat.AppChat />
}Render <ChatScreen /> and type a message. The reply streams into the page.