mirror of
https://github.com/HKUDS/nanobot.git
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288 lines
8.6 KiB
TypeScript
288 lines
8.6 KiB
TypeScript
import { useState } from "react";
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import { ChevronRight, ImageIcon, Wrench } from "lucide-react";
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import { useTranslation } from "react-i18next";
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import { ImageLightbox } from "@/components/ImageLightbox";
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import { MarkdownText } from "@/components/MarkdownText";
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import { cn } from "@/lib/utils";
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import type { UIImage, UIMessage } from "@/lib/types";
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interface MessageBubbleProps {
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message: UIMessage;
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}
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/**
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* Render a single message. Following agent-chat-ui: user turns are a rounded
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* "pill" right-aligned with a muted fill; assistant turns render as bare
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* markdown so prose/code read like a document rather than a chat bubble.
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* Each turn fades+slides in for a touch of motion polish.
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*
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* Trace rows (tool-call hints, progress breadcrumbs) render as a subdued
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* collapsible group so intermediate steps never masquerade as replies.
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*/
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export function MessageBubble({ message }: MessageBubbleProps) {
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const baseAnim = "animate-in fade-in-0 slide-in-from-bottom-1 duration-300";
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if (message.kind === "trace") {
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return <TraceGroup message={message} animClass={baseAnim} />;
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}
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if (message.role === "user") {
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const images = message.images ?? [];
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const hasImages = images.length > 0;
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const hasText = message.content.trim().length > 0;
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return (
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<div
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className={cn(
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"group ml-auto flex max-w-[min(85%,36rem)] flex-col items-end gap-1.5",
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baseAnim,
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)}
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>
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{hasImages ? <UserImages images={images} /> : null}
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{hasText ? (
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<p
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className={cn(
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"ml-auto w-fit rounded-[18px] border border-border/60 bg-secondary/70 px-4 py-2",
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"text-right text-[18px]/[1.8] whitespace-pre-wrap break-words",
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"shadow-[0_10px_24px_-18px_rgba(0,0,0,0.55)]",
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)}
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>
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{message.content}
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</p>
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) : null}
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</div>
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);
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}
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const empty = message.content.trim().length === 0;
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return (
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<div className={cn("w-full text-sm", baseAnim)} style={{ lineHeight: "var(--cjk-line-height)" }}>
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{empty && message.isStreaming ? (
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<TypingDots />
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) : (
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<>
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<MarkdownText>{message.content}</MarkdownText>
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{message.isStreaming && <StreamCursor />}
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</>
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)}
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</div>
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);
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}
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/**
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* Right-aligned preview row for images attached to a user turn.
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*
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* Visual follows agent-chat-ui: a single wrapping row of fixed-size square
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* thumbnails that stay modest next to the text pill regardless of how many
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* images are attached.
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*
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* The URL is expected to be a self-contained ``data:`` URL (the Composer
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* hands the normalized base64 payload to the optimistic bubble so that the
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* preview survives React StrictMode double-mount — blob URLs would be
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* revoked by the Composer's cleanup before remount). Historical replays
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* have no URL (the backend strips data URLs before persisting), so we
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* render a labelled placeholder tile instead of a broken ``<img>``.
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*/
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function UserImages({ images }: { images: UIImage[] }) {
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const { t } = useTranslation();
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// Only real-URL images can open in the lightbox; historical-replay
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// placeholders (no URL) have nothing to zoom into.
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const viewable = images
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.map((img, i) => ({ img, i }))
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.filter(({ img }) => typeof img.url === "string" && img.url.length > 0);
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const viewableImages = viewable.map(({ img }) => img);
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const originalToViewable = new Map<number, number>(
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viewable.map(({ i }, v) => [i, v]),
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);
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const [lightboxIndex, setLightboxIndex] = useState<number | null>(null);
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return (
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<>
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<div className="ml-auto flex flex-wrap items-end justify-end gap-2">
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{images.map((img, i) => (
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<UserImageCell
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key={`${img.url ?? "placeholder"}-${i}`}
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image={img}
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placeholderLabel={t("message.imageAttachment")}
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openLabel={t("lightbox.open")}
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onOpen={
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originalToViewable.has(i)
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? () => setLightboxIndex(originalToViewable.get(i)!)
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: undefined
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}
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/>
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))}
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</div>
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<ImageLightbox
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images={viewableImages}
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index={lightboxIndex}
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onIndexChange={setLightboxIndex}
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onOpenChange={(open) => {
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if (!open) setLightboxIndex(null);
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}}
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/>
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</>
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);
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}
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function UserImageCell({
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image,
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placeholderLabel,
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openLabel,
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onOpen,
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}: {
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image: UIImage;
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placeholderLabel: string;
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openLabel: string;
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onOpen?: () => void;
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}) {
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const hasUrl = typeof image.url === "string" && image.url.length > 0;
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const tileClasses = cn(
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"relative h-24 w-24 overflow-hidden rounded-[14px] border border-border/60 bg-muted/40",
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"shadow-[0_6px_18px_-14px_rgba(0,0,0,0.45)]",
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);
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if (hasUrl && onOpen) {
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return (
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<button
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type="button"
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onClick={onOpen}
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aria-label={image.name ? `${openLabel}: ${image.name}` : openLabel}
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title={image.name ?? undefined}
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className={cn(
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tileClasses,
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"cursor-zoom-in transition-transform duration-150 motion-reduce:transition-none",
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"hover:scale-[1.02] hover:ring-2 hover:ring-primary/30",
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"focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-primary/50",
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)}
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>
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<img
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src={image.url}
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alt={image.name ?? ""}
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loading="lazy"
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decoding="async"
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draggable={false}
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className="h-full w-full object-cover"
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/>
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</button>
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);
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}
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return (
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<div className={tileClasses} title={image.name ?? undefined}>
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<div
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className="flex h-full w-full flex-col items-center justify-center gap-1 px-2 text-[11px] text-muted-foreground"
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aria-label={placeholderLabel}
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>
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<ImageIcon className="h-4 w-4 flex-none" aria-hidden />
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<span className="line-clamp-2 text-center leading-tight">
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{image.name ?? placeholderLabel}
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</span>
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</div>
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</div>
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);
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}
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/** Blinking cursor appended at the end of streaming text. */
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function StreamCursor() {
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const { t } = useTranslation();
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return (
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<span
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aria-label={t("message.streaming")}
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className={cn(
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"ml-0.5 inline-block h-[1em] w-[3px] translate-y-[2px] align-middle",
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"rounded-sm bg-foreground/70 animate-pulse",
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)}
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/>
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);
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}
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/** Pre-token-arrival placeholder: three bouncing dots. */
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function TypingDots() {
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const { t } = useTranslation();
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return (
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<span
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aria-label={t("message.assistantTyping")}
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className="inline-flex items-center gap-1 py-1"
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>
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<Dot delay="0ms" />
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<Dot delay="150ms" />
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<Dot delay="300ms" />
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</span>
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);
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}
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function Dot({ delay }: { delay: string }) {
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return (
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<span
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style={{ animationDelay: delay }}
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className={cn(
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"inline-block h-1.5 w-1.5 rounded-full bg-muted-foreground/60",
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"animate-bounce",
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)}
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/>
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);
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}
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interface TraceGroupProps {
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message: UIMessage;
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animClass: string;
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}
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/**
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* Collapsible group of tool-call / progress breadcrumbs. Defaults to
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* expanded for discoverability; a single click on the header folds the
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* group down to a one-line summary so it never dominates the thread.
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*/
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function TraceGroup({ message, animClass }: TraceGroupProps) {
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const { t } = useTranslation();
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const lines = message.traces ?? [message.content];
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const count = lines.length;
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const [open, setOpen] = useState(true);
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return (
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<div className={cn("w-full", animClass)}>
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<button
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type="button"
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onClick={() => setOpen((v) => !v)}
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className={cn(
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"group flex w-full items-center gap-2 rounded-md px-2 py-1.5",
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"text-xs text-muted-foreground transition-colors hover:bg-muted/45",
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)}
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aria-expanded={open}
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>
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<Wrench className="h-3.5 w-3.5" aria-hidden />
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<span className="font-medium">
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{count === 1
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? t("message.toolSingle")
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: t("message.toolMany", { count })}
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</span>
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<ChevronRight
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aria-hidden
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className={cn(
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"ml-auto h-3.5 w-3.5 transition-transform duration-200",
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open && "rotate-90",
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)}
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/>
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</button>
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{open && (
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<ul
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className={cn(
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"mt-1 space-y-0.5 border-l border-muted-foreground/20 pl-3",
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"animate-in fade-in-0 slide-in-from-top-1 duration-200",
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)}
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>
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{lines.map((line, i) => (
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<li
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key={i}
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className="whitespace-pre-wrap break-words font-mono text-[11.5px] leading-relaxed text-muted-foreground/90"
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>
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{line}
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</li>
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))}
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</ul>
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)}
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</div>
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);
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}
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