"use client" import * as React from "react" import { useChat } from "@ai-sdk/react" import { createChat, getMessageText } from "@/lib/ai" import { getReasoningLevelLabel, PartReasoning, } from "@/registry/bases/radix/blocks/preview-03/components/part-reasoning" import { PartText } from "@/registry/bases/radix/blocks/preview-03/components/part-text" import { PromptInput } from "@/registry/bases/radix/blocks/preview-03/components/prompt-input" import { Example } from "@/registry/bases/radix/components/example" import { Button } from "@/registry/bases/radix/ui/button" import { Card, CardAction, CardContent, CardDescription, CardFooter, CardHeader, CardTitle, } from "@/registry/bases/radix/ui/card" import { Marker, MarkerContent, MarkerIcon, } from "@/registry/bases/radix/ui/marker" import { Message, MessageContent } from "@/registry/bases/radix/ui/message" import { MessageScroller, MessageScrollerButton, MessageScrollerContent, MessageScrollerItem, MessageScrollerProvider, MessageScrollerViewport, } from "@/registry/bases/radix/ui/message-scroller" import { Spinner } from "@/registry/bases/radix/ui/spinner" import { IconPlaceholder } from "@/app/(app)/create/components/icon-placeholder" const chat = createChat() .user("Explain why the dashboard feels slow even though the API is fast.") .sleep(1000) .assistant(({ writer }) => { writer.reasoning( `The user is separating perceived performance from backend latency. They likely measured API response times and found them acceptable, but users still complain about slowness. I should avoid jumping straight to server-side optimizations and instead frame the answer around what people actually experience.` ) writer.sleep(600) writer.reasoning( `Perceived slowness usually lives in the gap between user action and visible feedback: - input latency before the request fires - loading state placement and timing - layout shifts when data arrives - whether optimistic UI gives immediate acknowledgment For a dashboard, I should also consider chart re-renders, independent card fetches, and skeleton dimensions that do not match the final layout.` ) writer.sleep(600) writer.reasoning( `Ranking likely bottlenecks for this scenario: 1. No immediate feedback on filter or refresh actions 2. Skeleton cards that collapse or expand when data lands 3. Waterfall requests where each widget fetches on its own 4. Empty-state flashes because stale data is not shown while revalidating The answer should stay practical and ordered by impact, not by how technical each fix sounds.` ) writer.text( `The API can be fast while the interface still **feels** slow. Start by checking: - whether the button gives immediate feedback - whether skeletons match the final layout - whether any reflow happens after data arrives - whether the loading state appears near the content it replaces` ) }) .user("What should I fix first?") .sleep(1000) .assistant(({ writer }) => { writer.reasoning( `The user wants prioritization, not another diagnostic list. Given the dashboard context, immediate feedback and layout stability usually beat micro-optimizations. I should recommend one fix with a clear way to measure success.` ) writer.text( `Fix **immediate feedback** first. When someone clicks "Refresh", the button should disable and show a spinner within one frame — before the network round trip. That single change often cuts perceived latency in half. Measure it with a screen recording and count frames between click and visual response.` ) }) const initialMessages = chat.get(0) const transport = chat.transport() export function ReasoningChat() { const { status, messages, sendMessage, setMessages } = useChat({ messages: initialMessages, transport, }) const nextMessage = chat.next(messages) const isBusy = status === "submitted" || status === "streaming" const onSubmit = (input: string) => { if (!input.trim()) { return } if (nextMessage && input === getMessageText(nextMessage)) { void sendMessage(nextMessage) return } void sendMessage({ text: input }) } return ( Reasoning trace Layered reasoning traces across multiple assistant turns. {messages.map((message) => ( {message.parts.map((part, index) => { const reasoningIndex = part.type === "reasoning" ? message.parts .slice(0, index) .filter( (currentPart) => currentPart.type === "reasoning" ).length : 0 return ( {part.type === "text" ? ( ) : part.type === "reasoning" ? ( ) : null} ) })} ))} {status === "submitted" ? ( Thinking... ) : null} ) }