{ "title": "Quick Chat", "description": "A ready-to-use chat interface powered by Chrome's native Gemini Nano with streaming responses", "name": "native-ai-quick-chat", "dependencies": [ "react-markdown", "remark-gfm", "prompt-api-polyfill", "copy-to-clipboard" ], "registryDependencies": [ "button", "dialog.tsx", "alert", "card", "tabs", "badge", "popover", "spinner", "input", "button.tsx", "spinner.tsx" ], "type": "registry:ui", "files": [ { "path": "components/paceui/native-ai/quick-chat/index.tsx", "type": "registry:ui", "content": "import { useState } from \"react\";\n\nimport { AlertCircle, Bot, Smartphone } from \"lucide-react\";\n\nimport { useBrowserSupport } from \"@/hooks/native-ai/use-browser-support\";\nimport { useNativeAI } from \"@/hooks/native-ai/use-native-ai\";\n\nimport { Button } from \"@/components/ui/button\";\nimport { Dialog, DialogContent, DialogTrigger } from \"@/components/ui/dialog.tsx\";\nimport { BrowserSupport } from \"@/components/paceui/native-ai/browser-support\";\nimport { ChatHeader } from \"@/components/paceui/native-ai/chat-header\";\nimport { ChatInput } from \"@/components/paceui/native-ai/chat-input\";\nimport { ChatMessages } from \"@/components/paceui/native-ai/chat-messages\";\n\nexport const QuickChat = () => {\n const { isSupported, isMobile } = useBrowserSupport();\n const [inputText, setInputText] = useState(\"\");\n\n const { isLoading, status, loadingPercentage, messages, sendMessage, stop, resetChat, contextInfo } = useNativeAI({\n initialSystemPrompt: \"You are a helpful assistant\",\n });\n\n const handleSend = async () => {\n if (!inputText.trim() || isLoading) return;\n\n const query = inputText;\n setInputText(\"\");\n await sendMessage({ message: { content: query, role: \"user\" } });\n };\n\n return (\n
\n
\n \n
\n\n {!isSupported ? (\n
\n
\n
\n {isMobile ? : }\n

\n {isMobile ? \"Mobile Devices Not Supported\" : \"Chrome Built-in AI Not Detected\"}\n

\n
\n {isMobile && (\n

\n Native AI models are not supported on mobile devices yet. Please open this on a desktop\n browser.\n

\n )}\n \n \n How to Enable It\n \n }>\n \n \n \n \n
\n
\n ) : (\n
\n \n
\n \n
\n

How can I help you today?

\n

\n Ask a question to start local generation.\n

\n
\n }\n />\n
\n \n
\n
\n )}\n \n );\n};\n" }, { "path": "hooks/native-ai/use-browser-support.ts", "type": "registry:ui", "content": "import { useCallback, useEffect, useState } from \"react\";\n\nexport type BrowserType = \"chrome\" | \"firefox\" | \"edge\" | \"safari\";\n\nexport const SUPPORTED_NATIVE_BROWSERS: BrowserType[] = [\"chrome\"];\n\nexport type AIEngine = \"chrome-native\" | \"polyfill-webllm\";\n\nexport function detectMobile(): boolean {\n if (typeof window === \"undefined\" || !navigator?.userAgent) {\n return false;\n }\n\n const ua = navigator.userAgent;\n const isMobileUA = /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini|Mobile|mobile|CriOS/i.test(ua);\n const isCoarsePointer = typeof window.matchMedia === \"function\" && window.matchMedia(\"(pointer: coarse)\").matches;\n\n return isMobileUA || (isCoarsePointer && \"ontouchstart\" in window);\n}\n\nexport function detectBrowser(): BrowserType {\n if (typeof window === \"undefined\" || !navigator?.userAgent) {\n return \"chrome\";\n }\n\n const ua = navigator.userAgent;\n if (ua.includes(\"Edg/\")) return \"edge\";\n if (ua.includes(\"Firefox\") || ua.includes(\"FxIOS\")) return \"firefox\";\n if (ua.includes(\"Safari\") && !ua.includes(\"Chrome\") && !ua.includes(\"Chromium\")) return \"safari\";\n if (ua.includes(\"Chrome\") || ua.includes(\"Chromium\")) return \"chrome\";\n\n return \"chrome\";\n}\n\nexport const useBrowserSupport = () => {\n const [isLoading, setIsLoading] = useState(true);\n const [isSupported, setIsSupported] = useState(false);\n const [isMobile, setIsMobile] = useState(false);\n const [engine, setEngine] = useState(null);\n const [errorReason, setErrorReason] = useState(undefined);\n const [detectedBrowser, setDetectedBrowser] = useState(\"chrome\");\n const [canEnable, setCanEnable] = useState(false);\n\n const checkSupport = useCallback(async () => {\n setIsLoading(true);\n const mobile = detectMobile();\n setIsMobile(mobile);\n\n const browser = detectBrowser();\n setDetectedBrowser(browser);\n\n if (mobile) {\n setIsSupported(false);\n setCanEnable(false);\n setEngine(null);\n setErrorReason(\n \"Mobile devices are not supported yet. Native AI requires desktop browsers with hardware acceleration.\",\n );\n setIsLoading(false);\n return;\n }\n\n const canBeEnabled = SUPPORTED_NATIVE_BROWSERS.includes(browser);\n setCanEnable(canBeEnabled);\n\n const globalLangModel =\n typeof window !== \"undefined\" ? (window as any).LanguageModel || (window as any).ai?.languageModel : null;\n const hasChromeAI = !!(globalLangModel && !globalLangModel.__isPolyfill);\n\n if (hasChromeAI) {\n setIsSupported(true);\n setEngine(\"chrome-native\");\n setErrorReason(undefined);\n } else {\n setIsSupported(false);\n setEngine(null);\n setErrorReason(\n browser === \"chrome\"\n ? \"Chrome Built-in AI is not enabled or missing model flags in your browser.\"\n : `${browser.charAt(0).toUpperCase() + browser.slice(1)} does not currently support Chrome's native AI APIs. Use Chrome with AI flags.`,\n );\n }\n\n setIsLoading(false);\n }, []);\n\n useEffect(() => {\n checkSupport();\n }, [checkSupport]);\n\n return {\n isLoading,\n isSupported,\n isMobile,\n engine,\n errorReason,\n detectedBrowser,\n canEnable,\n recheck: checkSupport,\n };\n};\n" }, { "path": "hooks/native-ai/use-native-ai/index.ts", "type": "registry:ui", "content": "import { useRef, useState } from \"react\";\n\nimport { useNativeAiCore } from \"./core\";\nimport { filteredMessagesFn, parseTaskResultsFromContent, parseTasksBatch } from \"./helpers\";\nimport type { Message, Task, TaskResult, UseNativeAIProps } from \"./types\";\n\nexport const useNativeAI = (props: UseNativeAIProps) => {\n const {\n initialSystemPrompt = \"You are a helpful, concise AI assistant.\",\n eagerLoaded = true,\n autoCancelOnNextPrompt = true,\n } = props;\n const [taskResults, setTaskResults] = useState([]);\n const [messages, setMessages] = useState([{ role: \"system\", content: initialSystemPrompt }]);\n const [isLoading, setIsLoading] = useState(false);\n const [loadingTasks, setLoadingTasks] = useState>({});\n\n const abortControllerRef = useRef(null);\n const taskAbortControllerRef = useRef(null);\n\n const { getAdapter, syncContextInfo, contextInfo, isInitializing, isReady, status, loadingPercentage } =\n useNativeAiCore({ initialSystemPrompt, eagerLoaded });\n\n const onCompleted = (message: Message, id: TaskResult[\"id\"]) => {\n const parsedAnswers = parseTaskResultsFromContent(message.content, id);\n if (parsedAnswers) setTaskResults((prev) => [...prev, parsedAnswers]);\n };\n\n const stopTasks = () => {\n if (taskAbortControllerRef.current) {\n taskAbortControllerRef.current.abort();\n taskAbortControllerRef.current = null;\n }\n setLoadingTasks({});\n };\n\n const stop = async () => {\n if (abortControllerRef.current) {\n abortControllerRef.current.abort();\n abortControllerRef.current = null;\n }\n stopTasks();\n const adapter = await getAdapter();\n adapter?.stopStream?.();\n setIsLoading(false);\n };\n\n const isTaskLoading = (taskId?: string): boolean => {\n if (taskId) {\n return Boolean(loadingTasks[taskId]);\n }\n return Object.values(loadingTasks).some(Boolean);\n };\n\n const getTaskResult = (taskId: string): TaskResult | undefined => {\n return taskResults.find((res) => res.id === taskId);\n };\n\n const clearTaskResults = (taskId?: string) => {\n if (taskId) {\n setTaskResults((prev) => prev.filter((res) => res.id !== taskId));\n } else {\n setTaskResults([]);\n }\n };\n\n const sendMessage = async ({ message, tasks }: { message: Message; tasks?: Task[] }) => {\n const { content } = message;\n if (!content.trim()) return;\n\n const isAnyTaskActive = Object.values(loadingTasks).some(Boolean);\n if (isLoading || isAnyTaskActive) {\n if (autoCancelOnNextPrompt) {\n await stop();\n } else {\n return;\n }\n }\n\n const newMessages = [\n ...messages,\n { ...message },\n { role: \"assistant\" as const, content: \"\", custom: message.custom },\n ];\n setMessages(newMessages);\n\n const historyToSend = newMessages.slice(0, -1);\n setIsLoading(true);\n\n const controller = new AbortController();\n abortControllerRef.current = controller;\n\n let finalResponse = \"\";\n\n try {\n const adapter = await getAdapter();\n if (!adapter) {\n setMessages((prev) => {\n const updated = [...prev];\n const lastIndex = updated.length - 1;\n if (lastIndex >= 0 && updated[lastIndex].role === \"assistant\") {\n updated[lastIndex] = {\n ...updated[lastIndex],\n content: \"Failed to initialize local AI engine. It is unavailable.\",\n };\n }\n return updated;\n });\n return;\n }\n\n const cleanHistory = historyToSend.map(({ role, content }) => ({ role, content }));\n\n await adapter.streamMessage(\n cleanHistory,\n (_delta, fullResponse) => {\n finalResponse = fullResponse;\n\n setMessages((prev) => {\n const updated = [...prev];\n const lastIndex = updated.length - 1;\n\n if (lastIndex >= 0 && updated[lastIndex].role === \"assistant\") {\n updated[lastIndex] = {\n ...updated[lastIndex],\n content: fullResponse,\n };\n }\n return updated;\n });\n },\n controller.signal,\n );\n\n syncContextInfo();\n } catch (err: any) {\n if (err?.name === \"AbortError\" || controller.signal.aborted) {\n return;\n }\n console.error(\"AI Generation Error:\", err);\n setMessages((prev) => {\n const updated = [...prev];\n const lastIndex = updated.length - 1;\n if (lastIndex >= 0 && updated[lastIndex].role === \"assistant\" && !updated[lastIndex].content) {\n updated[lastIndex] = {\n ...updated[lastIndex],\n content: `Error: ${err instanceof Error ? err.message : String(err)}`,\n };\n }\n return updated;\n });\n } finally {\n setIsLoading(false);\n abortControllerRef.current = null;\n }\n\n if (tasks && tasks.length > 0 && !controller.signal.aborted) {\n const taskController = new AbortController();\n taskAbortControllerRef.current = taskController;\n\n const initialTaskState: Record = {};\n tasks.forEach((t) => {\n initialTaskState[t.id] = true;\n });\n setLoadingTasks(initialTaskState);\n\n // Clear old results for these tasks\n setTaskResults((prev) => prev.filter((res) => !tasks.some((t) => t.id === res.id)));\n\n try {\n const adapter = await getAdapter();\n if (adapter && !taskController.signal.aborted) {\n const cleanHistory = historyToSend.map(({ role, content }) => ({ role, content }));\n const combinedPrompt = parseTasksBatch(tasks);\n const promptMessages = [\n ...cleanHistory,\n { role: \"assistant\", content: finalResponse },\n { role: \"user\", content: combinedPrompt },\n ];\n\n const combinedString = await adapter.isolatedPromptMessage(promptMessages);\n\n if (combinedString && !taskController.signal.aborted) {\n for (const t of tasks) {\n onCompleted({ content: combinedString, role: \"assistant\" }, t.id);\n }\n }\n }\n } catch (err) {\n console.error(\"Side Task Execution Error:\", err);\n } finally {\n setLoadingTasks({});\n taskAbortControllerRef.current = null;\n }\n }\n };\n\n const promptMessage = async (messagesToSend: Message[]) => {\n const adapter = await getAdapter();\n if (!adapter) return null;\n return adapter.promptMessage(messagesToSend);\n };\n\n const isolatedPromptMessage = async (messagesToSend: Message[]) => {\n const adapter = await getAdapter();\n if (!adapter) return null;\n return adapter.isolatedPromptMessage(messagesToSend);\n };\n\n const resetChat = async () => {\n await stop();\n setMessages([{ role: \"system\", content: initialSystemPrompt }]);\n setTaskResults([]);\n const adapter = await getAdapter();\n if (adapter?.reset) {\n await adapter.reset(initialSystemPrompt);\n }\n await syncContextInfo();\n };\n\n return {\n sendMessage,\n stop,\n stopStream: stop,\n resetChat,\n reset: resetChat,\n promptMessage,\n isolatedPromptMessage,\n messages,\n isLoading,\n isTaskLoading,\n loadingTasks,\n getTaskResult,\n clearTaskResults,\n isInitializing,\n isReady,\n status,\n loadingPercentage,\n filteredMessages: filteredMessagesFn(messages),\n taskResults,\n setTaskResults,\n contextInfo,\n };\n};\n" }, { "path": "hooks/native-ai/use-native-ai/core/index.ts", "type": "registry:ui", "content": "import { useEffect, useRef, useState } from \"react\";\n\nimport { ChromeBuiltInAdapter } from \"./adapters/chrome-native\";\nimport type { AIContextInfo, AIEngineAdapter, UseNativeAICoreProps } from \"./types\";\n\nexport const useNativeAiCore = ({ initialSystemPrompt, eagerLoaded }: UseNativeAICoreProps) => {\n const activeAdapterRef = useRef(null);\n const adapterPromiseRef = useRef | null>(null);\n const [engineType, setEngineType] = useState(\"detecting\");\n const [initProgress, setInitProgress] = useState(\"\");\n const [loadingPercentage, setLoadingPercentage] = useState(null);\n const [contextInfo, setContextInfo] = useState(null);\n const [isInitializing, setIsInitializing] = useState(false);\n const [isReady, setIsReady] = useState(false);\n\n const getAdapter = async (): Promise => {\n if (activeAdapterRef.current) return activeAdapterRef.current;\n if (adapterPromiseRef.current) return adapterPromiseRef.current;\n\n setIsInitializing(true);\n let currentPromise: Promise = null!;\n currentPromise = (async () => {\n try {\n const chromeAdapter = new ChromeBuiltInAdapter();\n if (await chromeAdapter.isAvailable()) {\n await chromeAdapter.init(initialSystemPrompt, (progress, pct) => {\n if (adapterPromiseRef.current === currentPromise) {\n setInitProgress(progress);\n if (typeof pct === \"number\") setLoadingPercentage(pct);\n }\n });\n if (adapterPromiseRef.current !== currentPromise) {\n chromeAdapter.destroy?.();\n return null;\n }\n activeAdapterRef.current = chromeAdapter;\n setEngineType(chromeAdapter.type);\n setIsReady(true);\n const info = await chromeAdapter.getAIContextInfo();\n setContextInfo(info);\n return chromeAdapter;\n }\n\n if (adapterPromiseRef.current === currentPromise) {\n adapterPromiseRef.current = null;\n }\n return null;\n } catch (err) {\n console.error(\"AI Adapter initialization error:\", err);\n if (adapterPromiseRef.current === currentPromise) {\n adapterPromiseRef.current = null;\n }\n throw err;\n } finally {\n if (adapterPromiseRef.current === currentPromise) {\n setIsInitializing(false);\n }\n }\n })();\n adapterPromiseRef.current = currentPromise;\n\n return adapterPromiseRef.current;\n };\n\n useEffect(() => {\n if (eagerLoaded && !activeAdapterRef.current && !adapterPromiseRef.current) {\n getAdapter();\n }\n\n return () => {\n if (activeAdapterRef.current?.destroy) {\n activeAdapterRef.current.destroy();\n activeAdapterRef.current = null;\n }\n adapterPromiseRef.current = null;\n };\n }, [eagerLoaded]);\n\n const syncContextInfo = async () => {\n const adapter = activeAdapterRef.current;\n if (!adapter) {\n setContextInfo(null);\n return;\n }\n try {\n const info = await adapter.getAIContextInfo();\n setContextInfo(info);\n } catch {\n setContextInfo(null);\n }\n };\n\n const status: \"loading\" | \"ready\" | \"lazy\" = isInitializing ? \"loading\" : isReady ? \"ready\" : \"lazy\";\n\n return {\n getAdapter,\n engineType,\n initProgress,\n loadingPercentage,\n contextInfo,\n syncContextInfo,\n isInitializing,\n isReady,\n status,\n };\n};\n\nexport const useNativeAi = useNativeAiCore;\n" }, { "path": "hooks/native-ai/use-native-ai/core/adapters/chrome-native.ts", "type": "registry:ui", "content": "import type { AIContextInfo, AIEngineAdapter } from \"../types\";\n\ndeclare global {\n interface Window {\n LanguageModel?: LanguageModelFactory;\n ai?: {\n languageModel?: LanguageModelFactory;\n };\n }\n}\n\ninterface LanguageModelFactory {\n availability?: (options?: Record) => Promise<\"readily\" | \"after-download\" | \"no\">;\n capabilities?: () => Promise<{ available: \"readily\" | \"after-download\" | \"no\" }>;\n create: (options?: {\n systemPrompt?: string;\n initialPrompts?: Array<{ role: \"system\" | \"user\" | \"assistant\"; content: string }>;\n monitor?: (m: EventTarget) => void;\n topK?: number;\n temperature?: number;\n signal?: AbortSignal;\n expectedInputs?: Array<{\n type: \"text\" | \"image\" | \"audio\";\n languages?: string[];\n }>;\n expectedOutputs?: Array<{\n type: \"text\";\n languages?: string[];\n }>;\n }) => Promise;\n}\n\ninterface ChromeAISession {\n contextUsage: number;\n contextWindow: number;\n promptStreaming: (\n prompt: string | Array<{ role: string; content: string }>,\n ) => AsyncIterable | ReadableStream;\n prompt: (prompt: string) => Promise;\n destroy: () => void;\n clone: () => Promise;\n}\n\nexport class ChromeBuiltInAdapter implements AIEngineAdapter {\n type = \"chrome-native\";\n private session: ChromeAISession | null = null;\n private currentAbortController: AbortController | null = null;\n\n async isAvailable(): Promise {\n const factory = this.getFactory();\n if (!factory) return false;\n\n try {\n if (typeof factory.availability === \"function\") {\n const status = await factory.availability();\n return status !== \"no\";\n }\n if (typeof factory.capabilities === \"function\") {\n const caps = await factory.capabilities();\n return caps.available !== \"no\";\n }\n return true;\n } catch {\n return false;\n }\n }\n\n async init(systemPrompt: string, onProgress?: (progress: string, percentage?: number) => void): Promise {\n if (this.session) return;\n\n const factory = this.getFactory();\n if (!factory) {\n throw new Error(\"Chrome AI LanguageModel is not supported in this browser.\");\n }\n\n onProgress?.(\"Initializing Chrome Native Gemini Nano...\");\n\n this.session = await factory.create({\n systemPrompt,\n initialPrompts: [{ role: \"system\", content: systemPrompt }],\n temperature: 0,\n topK: 1,\n monitor(m: EventTarget) {\n m.addEventListener(\"downloadprogress\", (e: any) => {\n if (e && typeof e.loaded === \"number\" && typeof e.total === \"number\" && e.total > 0) {\n const pct = Math.min(100, Math.max(0, Math.round((e.loaded / e.total) * 100)));\n onProgress?.(`Downloading model (${pct}%)...`, pct);\n } else if (e && typeof e.percentage === \"number\" && e.percentage > 0) {\n const pct = Math.min(100, Math.max(0, Math.round(e.percentage)));\n onProgress?.(`Downloading model (${pct}%)...`, pct);\n }\n });\n },\n });\n\n onProgress?.(\"Model ready\", 100);\n }\n\n async streamBaseMessage(\n session: ChromeAISession | null,\n userText: string,\n onChunk: (delta: string, fullResponse: string) => void,\n signal?: AbortSignal,\n ): Promise {\n if (!session) throw new Error(\"Session not initialized\");\n const stream = session.promptStreaming(userText);\n let fullResponse = \"\";\n\n try {\n if (Symbol.asyncIterator in stream) {\n for await (const chunk of stream as AsyncIterable) {\n if (signal?.aborted || this.currentAbortController?.signal.aborted) {\n break;\n }\n this.processChunk(chunk, fullResponse, (delta, newFull) => {\n fullResponse = newFull;\n onChunk(delta, fullResponse);\n });\n }\n // @ts-ignore\n } else if (stream instanceof ReadableStream) {\n const reader = (stream as ReadableStream).getReader();\n while (true) {\n if (signal?.aborted || this.currentAbortController?.signal.aborted) {\n await reader.cancel();\n break;\n }\n const { done, value } = await reader.read();\n if (done) break;\n if (value) {\n this.processChunk(value, fullResponse, (delta, newFull) => {\n fullResponse = newFull;\n onChunk(delta, fullResponse);\n });\n }\n }\n }\n } catch (err: any) {\n if (err?.name === \"AbortError\" || signal?.aborted) {\n return;\n }\n throw err;\n }\n }\n\n async streamMessage(\n messages: any[],\n onChunk: (delta: string, fullResponse: string) => void,\n signal?: AbortSignal,\n ): Promise {\n this.currentAbortController = new AbortController();\n const userText = messages[messages.length - 1]?.content || \"\";\n\n const handleAbort = () => {\n if (this.currentAbortController) {\n this.currentAbortController.abort();\n }\n };\n\n if (signal) {\n signal.addEventListener(\"abort\", handleAbort);\n }\n\n try {\n await this.streamBaseMessage(this.session, userText, onChunk, signal);\n } finally {\n if (signal) {\n signal.removeEventListener(\"abort\", handleAbort);\n }\n this.currentAbortController = null;\n }\n }\n\n stopStream(): void {\n if (this.currentAbortController) {\n this.currentAbortController.abort();\n this.currentAbortController = null;\n }\n }\n\n async promptMessage(messages: any[], sessionOverride?: ChromeAISession | null): Promise {\n const session = sessionOverride ?? this.session;\n if (!session) return null;\n const userText = messages[messages.length - 1]?.content || \"\";\n return await session.prompt(userText);\n }\n\n async isolatedPromptMessage(messages: any[]): Promise {\n const clonedSession = await this.session?.clone();\n if (!clonedSession) return null;\n\n try {\n return await this.promptMessage(messages, clonedSession);\n } finally {\n clonedSession.destroy();\n }\n }\n\n async destroy(): Promise {\n if (this.session?.destroy) {\n this.session.destroy();\n }\n this.session = null;\n }\n\n async reset(systemPrompt?: string): Promise {\n this.stopStream();\n if (this.session?.destroy) {\n try {\n this.session.destroy();\n } catch {}\n }\n this.session = null;\n if (systemPrompt) {\n await this.init(systemPrompt);\n }\n }\n\n private getFactory(): LanguageModelFactory | null {\n if (typeof window === \"undefined\") return null;\n return window.LanguageModel || window.ai?.languageModel || null;\n }\n\n private processChunk(\n chunk: string,\n currentFullResponse: string,\n update: (delta: string, newFullResponse: string) => void,\n ): void {\n let delta = \"\";\n let nextFullResponse = \"\";\n\n if (chunk.startsWith(currentFullResponse)) {\n delta = chunk.slice(currentFullResponse.length);\n nextFullResponse = chunk;\n } else {\n delta = chunk;\n nextFullResponse = currentFullResponse + chunk;\n }\n\n update(delta, nextFullResponse);\n }\n\n async getAIContextInfo(): Promise {\n if (!this.session) return null;\n return {\n used: this.session.contextUsage,\n window: this.session.contextWindow,\n };\n }\n}\n" }, { "path": "hooks/native-ai/use-native-ai/core/types.ts", "type": "registry:ui", "content": "export type AIContextInfo = {\n used: number;\n window: number;\n};\n\nexport type UseNativeAICoreProps = {\n initialSystemPrompt: string;\n eagerLoaded?: boolean;\n};\n\nexport type AIEngineAdapter = {\n type: string;\n isAvailable: () => Promise;\n init: (systemPrompt: string, onProgress?: (progress: string, percentage?: number) => void) => Promise;\n streamMessage: (\n messages: any[],\n onChunk: (delta: string, fullResponse: string) => void,\n signal?: AbortSignal,\n ) => Promise;\n stopStream?: () => void;\n getAIContextInfo: () => Promise;\n promptMessage: (messages: any[]) => Promise;\n isolatedPromptMessage: (messages: any[]) => Promise;\n reset?: (systemPrompt?: string) => Promise;\n destroy?: () => void | Promise;\n};\n" }, { "path": "hooks/native-ai/use-native-ai/helpers.ts", "type": "registry:ui", "content": "import type { Message, Task, TaskResult } from \"./types\";\n\nconst taskTypes: Record = {\n single: `[Single Answer]`,\n multiple: `[Answer 1]\\n [Answer 2]`,\n};\n\nexport const filteredMessagesFn = (messages: Message[]): Message[] => {\n return messages\n .filter((m) => m.role !== \"system\")\n .filter((m) => !m.custom)\n .map((msg) => ({\n ...msg,\n content: msg.content.replace(/|$)/g, \"\").trim(),\n }));\n};\n\nexport const parseTaskResultsFromContent = (content: string, id: string): TaskResult | null => {\n const contextRegex = new RegExp(\n `]*id=[\"']?${id}[\"']?[^>]*>([\\\\s\\\\S]*?)(?:<\\\\/output-context>|$)`,\n \"i\",\n );\n const contextMatch = contextRegex.exec(content);\n\n if (!contextMatch) {\n return null;\n }\n\n const contextBody = contextMatch[1];\n const answerRegex = /([\\s\\S]*?)(?:<\\/answer>|$)/g;\n const answers: string[] = [];\n let answerMatch: RegExpExecArray | null;\n\n while ((answerMatch = answerRegex.exec(contextBody)) !== null) {\n const trimmedValue = answerMatch[1].trim();\n if (trimmedValue) {\n answers.push(trimmedValue);\n }\n }\n\n if (answers.length === 0) {\n return null;\n }\n\n return {\n id,\n value: answers.length === 1 ? answers[0] : answers,\n };\n};\n\nexport const parseTasksBatch = (tasks: Task[]): string => {\n let combinedPrompt = \"Answer the following requests based exclusively on the conversation:\\n\\n\";\n tasks.forEach((t) => {\n combinedPrompt += `[Request ID: ${t.id}]\\n${t.prompt}\\n`;\n const structure = taskTypes[t.type];\n combinedPrompt += `Output format for this request:\\n\\n${structure}\\n\\n\\n`;\n });\n combinedPrompt += \"Output only the XML tags requested. Do not output any other text.\";\n return combinedPrompt;\n};\n\nexport const createSystemContext = (context: string) => {\n return `# SYSTEM INSTRUCTION\nYou are a single-topic assistant. Answer ONLY questions directly covered in the provided topic context.\n\nSTRICT RULES:\n1. OFF-TOPIC REJECTION: If a user asks an off-topic or general question, refuse to answer and state: \"Please ask me about topic, not general questions.\"\n2. NO OUTSIDE KNOWLEDGE: Base answers strictly on the given context. Do not make assumptions or add unmentioned details.\n3. CONCISE RESPONSES: Keep all answers brief and direct. Elaborate only if the user explicitly asks for more detail.\n\n# Topic Context:\n${context} `;\n};\n" }, { "path": "hooks/native-ai/use-native-ai/types.ts", "type": "registry:ui", "content": "import type { UseNativeAICoreProps } from \"./core/types\";\n\nexport type UseNativeAIProps = UseNativeAICoreProps & {\n /**\n * If true, automatically cancels any active main message stream or side tasks when a new user message is submitted.\n * @default true\n */\n autoCancelOnNextPrompt?: boolean;\n};\n\nexport type Message = {\n role: \"system\" | \"user\" | \"assistant\";\n content: string;\n custom?: boolean;\n};\n\nexport type Task = {\n id: string;\n type: \"single\" | \"multiple\";\n prompt: string;\n};\n\nexport type TaskResult = {\n id: string;\n value: string[] | string;\n};\n" }, { "path": "components/paceui/native-ai/browser-support/index.tsx", "type": "registry:ui", "content": "import { type ReactNode, useState } from \"react\";\n\nimport copy from \"copy-to-clipboard\";\nimport { Check, CheckCircle2, Copy, Cpu, Loader2, RefreshCw, Smartphone } from \"lucide-react\";\n\nimport { SUPPORTED_NATIVE_BROWSERS, useBrowserSupport } from \"@/hooks/native-ai/use-browser-support\";\nimport { cn } from \"@/lib/utils.ts\";\n\nimport { Alert, AlertDescription, AlertTitle } from \"@/components/ui/alert\";\nimport { Button } from \"@/components/ui/button\";\nimport { Card, CardContent, CardDescription, CardFooter, CardHeader, CardTitle } from \"@/components/ui/card\";\nimport { Tabs, TabsContent, TabsList, TabsTrigger } from \"@/components/ui/tabs\";\n\ntype SupportedBrowser = \"chrome\" | \"firefox\" | \"edge\" | \"safari\";\n\nconst BROWSER_INSTRUCTIONS: Record = {\n chrome: [\n <>\n chrome://settings/system: Ensure Hardware Acceleration\n ,\n <>\n chrome://flags/#prompt-api-for-gemini-nano: Set it to{\" \"}\n Enabled.\n ,\n <>\n chrome://flags/#optimization-guide-on-device-model: Set it to{\" \"}\n Enabled BypassPerfRequirement.\n ,\n <>\n chrome://components: Local{\" \"}\n Optimization Guide On Device Model, and click{\" \"}\n Check for update to finish downloading the local model.\n ,\n <>\n Click Relaunch to restart Chrome.\n ,\n ],\n firefox: [\n <>\n Open about:config in your address bar and accept the warning.\n ,\n <>\n Search for dom.webgpu.enabled and set it to{\" \"}\n true.\n ,\n <>\n Search for gfx.webrender.all and ensure it is set to{\" \"}\n true for GPU acceleration.\n ,\n <>Restart Firefox to enable WebGPU hardware-accelerated local AI execution.,\n ],\n edge: [\n <>\n Open edge://settings/system and ensure{\" \"}\n Use graphics acceleration when available is ON.\n ,\n <>\n Navigate to edge://flags/#enable-webgpu-developer-features and set to{\" \"}\n Enabled.\n ,\n <>\n Optional (Edge Dev/Canary): Open edge://flags/#prompt-api-for-gemini-nano and\n set to Enabled.\n ,\n <>\n Click Restart to reload Edge and activate local model\n execution.\n ,\n ],\n safari: [\n <>\n Open Safari Settings (\n ⌘ ,) and switch to the{\" \"}\n Advanced tab.\n ,\n <>\n Check \"Show features for web developers\" at the bottom.\n ,\n <>\n In the top menu bar, open Develop > Feature Flags{\" \"}\n and ensure WebGPU is checked.\n ,\n <>Reload the page to execute models locally on Apple Silicon / Metal GPU.,\n ],\n};\n\nfunction CopyableCode({ children }: { children: string }) {\n const [copied, setCopied] = useState(false);\n\n const handleCopy = async () => {\n const success = await copy(children);\n if (success) {\n setCopied(true);\n setTimeout(() => setCopied(false), 2000);\n }\n };\n\n return (\n \n {children}\n {copied ? (\n \n ) : (\n \n )}\n \n );\n}\n\nfunction BrowserTabContent({ browser }: { browser: SupportedBrowser }) {\n const isSupported = SUPPORTED_NATIVE_BROWSERS.includes(browser);\n\n if (!isSupported) {\n return (\n
\n This browser is not yet supported natively. Please use a supported browser like Chrome.\n
\n );\n }\n\n return (\n
    \n {BROWSER_INSTRUCTIONS[browser].map((step, idx) => (\n
  1. {step}
    2. \n ))}\n
\n );\n}\n\nexport const BrowserSupport = ({ className }: { className?: string }) => {\n const { isLoading, isSupported, isMobile, engine, errorReason, detectedBrowser, recheck } = useBrowserSupport();\n const browsers: SupportedBrowser[] = [\"chrome\", \"firefox\", \"edge\", \"safari\"];\n\n if (isLoading) {\n return (\n \n \n

Checking browser AI support...

\n \n );\n }\n\n return (\n \n \n Native AI Browser Support\n \n {isSupported\n ? engine === \"polyfill-webllm\"\n ? \"Your browser is ready with WebGPU local AI fallback processing.\"\n : \"Your browser is successfully configured for Chrome native AI processing.\"\n : isMobile\n ? \"Mobile devices are not supported yet. Please switch to a desktop browser.\"\n : \"This application requires built-in local AI or WebGPU hardware acceleration on your device.\"}\n \n \n\n \n \n {isSupported ? (\n \n ) : isMobile ? (\n \n ) : (\n \n )}\n \n {isSupported\n ? \"You're ready to go!\"\n : isMobile\n ? \"Mobile Devices Not Supported\"\n : \"AI Support Check Failed\"}\n \n \n {isSupported\n ? engine === \"polyfill-webllm\"\n ? \"WebGPU Local AI Polyfill is active on your browser. AI tasks run 100% on your device.\"\n : \"Chrome Built-in AI is active on your device. You can start typing and generating text locally.\"\n : errorReason ||\n \"Your browser does not currently support local AI APIs or WebGPU acceleration.\"}\n \n \n\n
\n \n \n {browsers.map((browser) => (\n \n {browser}\n \n ))}\n \n\n {browsers.map((browser) => (\n \n \n \n ))}\n \n
\n \n\n \n \n \n \n );\n};\n\nexport { BrowserSupport as SetupCard, BrowserSupport as NativeAiBrowserSupport };\n" }, { "path": "components/paceui/native-ai/chat-header/index.tsx", "type": "registry:ui", "content": "import type { ReactNode } from \"react\";\n\nimport { RotateCcw, Sparkles } from \"lucide-react\";\n\nimport { Badge } from \"@/components/ui/badge\";\nimport { Button } from \"@/components/ui/button\";\nimport { Popover, PopoverContent, PopoverTrigger } from \"@/components/ui/popover\";\nimport { Spinner } from \"@/components/ui/spinner\";\n\nexport type AIStatus = \"loading\" | \"ready\" | \"lazy\" | string;\n\nexport interface ContextInfo {\n used: number;\n window: number;\n}\n\nexport interface ChatHeaderProps {\n title?: string;\n logo?: ReactNode;\n icon?: ReactNode;\n isSupported?: boolean;\n contextInfo?: ContextInfo | null;\n status?: AIStatus;\n loadingPercentage?: number | null;\n onReset?: () => void;\n}\n\ninterface ContextProgressRingProps {\n used: number;\n window: number;\n size?: number;\n strokeWidth?: number;\n}\n\nexport function ContextProgressRing({\n used,\n window: contextWindow,\n size = 18,\n strokeWidth = 2.5,\n}: ContextProgressRingProps) {\n const percentage = contextWindow ? Math.min(100, Math.max(0, Math.round((used / contextWindow) * 100))) : 0;\n\n const radius = (size - strokeWidth) / 2;\n const circumference = 2 * Math.PI * radius;\n const strokeDashoffset = circumference - (percentage / 100) * circumference;\n\n return (\n \n \n \n \n \n \n \n }\n />\n \n
\n

Context Window Usage ({percentage}%)

\n

\n {used.toLocaleString()} / {contextWindow.toLocaleString()} tokens\n

\n
\n \n \n );\n}\n\nexport const ChatHeader = ({\n title = \"AI Assistant\",\n logo,\n icon,\n isSupported = false,\n contextInfo,\n status = \"ready\",\n loadingPercentage,\n onReset,\n}: ChatHeaderProps) => {\n const renderIcon = logo ?? icon ?? ;\n const normalizedStatus = typeof status === \"string\" ? status.toLowerCase() : \"ready\";\n\n return (\n
\n
\n
{renderIcon}
\n

{title}

\n
\n\n
\n {contextInfo && }\n {onReset && (\n \n \n \n \n }\n />\n \n Reset chat\n \n \n )}\n {isSupported && (\n
\n {normalizedStatus === \"loading\" && (\n \n \n Loading\n {typeof loadingPercentage === \"number\" && loadingPercentage > 0\n ? ` ${loadingPercentage}%`\n : \"\"}\n \n )}\n {normalizedStatus === \"ready\" && (\n \n \n Ready\n \n )}\n {normalizedStatus === \"lazy\" && (\n \n \n Lazy\n \n )}\n {![\"loading\", \"ready\", \"lazy\"].includes(normalizedStatus) && (\n \n {status}\n \n )}\n
\n )}\n
\n
\n );\n};\n" }, { "path": "components/paceui/native-ai/chat-input/index.tsx", "type": "registry:ui", "content": "import { type KeyboardEvent } from \"react\";\n\nimport { Loader2, Send, Square } from \"lucide-react\";\n\nimport { Button } from \"@/components/ui/button\";\nimport { Input } from \"@/components/ui/input\";\n\nexport interface ChatInputProps {\n value: string;\n onChange: (value: string) => void;\n onSubmit: () => void;\n onStop?: () => void;\n onFocus?: () => void;\n isLoading?: boolean;\n isSupported?: boolean;\n placeholder?: string;\n}\n\nexport const ChatInput = ({\n value,\n onChange,\n onSubmit,\n onStop,\n onFocus,\n isLoading = false,\n isSupported = false,\n placeholder = \"Type your message...\",\n}: ChatInputProps) => {\n const handleKeyDown = (e: KeyboardEvent) => {\n if (e.key === \"Enter\" && !e.shiftKey) {\n e.preventDefault();\n if (isLoading && onStop) {\n onStop();\n } else {\n onSubmit();\n }\n }\n };\n\n return (\n {\n e.preventDefault();\n if (isLoading && onStop) {\n onStop();\n } else {\n onSubmit();\n }\n }}\n className=\"flex items-center gap-2\">\n onChange(e.target.value)}\n onFocus={onFocus}\n onKeyDown={handleKeyDown}\n placeholder={isSupported ? placeholder : \"AI disabled\"}\n disabled={!isSupported || (isLoading && !onStop)}\n className=\"grow shadow-none\"\n />\n {isLoading && onStop ? (\n \n \n \n ) : (\n \n {isLoading ? : }\n \n )}\n \n );\n};\n" }, { "path": "components/paceui/native-ai/chat-messages/index.tsx", "type": "registry:ui", "content": "import { type ReactNode, useEffect, useRef, useState } from \"react\";\n\nimport { ArrowDown, BotIcon, UserIcon } from \"lucide-react\";\n\nimport type { Message } from \"@/hooks/native-ai/use-native-ai/types.ts\";\nimport { cn } from \"@/lib/utils.ts\";\n\nimport { Button } from \"@/components/ui/button.tsx\";\nimport { type ResponseEffectType, ResponseRenderer } from \"@/components/paceui/native-ai/response-renderer\";\nimport { Spinner } from \"@/components/ui/spinner.tsx\";\n\nexport interface ChatMessagesProps {\n messages: Message[];\n isLoading?: boolean;\n isSupported?: boolean;\n emptyState?: ReactNode;\n className?: string;\n effect?: ResponseEffectType;\n}\n\nexport const ChatMessages = ({ messages, isSupported = false, emptyState, className, effect }: ChatMessagesProps) => {\n const containerRef = useRef(null);\n const contentRef = useRef(null);\n\n const [isAtBottom, setIsAtBottom] = useState(true);\n const isAtBottomRef = useRef(true);\n const prevMessagesLengthRef = useRef(0);\n\n const chatMessages = messages.filter((m) => m.role !== \"system\");\n\n const checkIfAtBottom = () => {\n const container = containerRef.current;\n if (!container) return true;\n\n return container.scrollHeight - container.scrollTop - container.clientHeight <= 80;\n };\n\n const scrollToBottom = (smooth = true) => {\n const container = containerRef.current;\n if (!container) return;\n container.scrollTo({\n top: container.scrollHeight,\n behavior: smooth ? \"smooth\" : \"auto\",\n });\n setIsAtBottom(true);\n isAtBottomRef.current = true;\n };\n\n const handleScroll = () => {\n const atBottom = checkIfAtBottom();\n setIsAtBottom(atBottom);\n isAtBottomRef.current = atBottom;\n };\n\n useEffect(() => {\n const currentLength = chatMessages.length;\n const isNewMessageAdded = currentLength > prevMessagesLengthRef.current;\n prevMessagesLengthRef.current = currentLength;\n\n const isLastUser = chatMessages[chatMessages.length - 1]?.role === \"user\";\n\n if (isNewMessageAdded && isLastUser) {\n scrollToBottom(true);\n }\n }, [chatMessages]);\n\n useEffect(() => {\n const container = containerRef.current;\n const content = contentRef.current;\n if (!container || !content) return;\n\n const handleResize = () => {\n if (isAtBottomRef.current) {\n container.scrollTo({\n top: container.scrollHeight,\n behavior: \"auto\",\n });\n }\n };\n\n const observer = new ResizeObserver(handleResize);\n observer.observe(content);\n\n return () => observer.disconnect();\n }, []);\n\n return (\n
\n
\n {chatMessages.length === 0 && isSupported && emptyState}\n
\n {chatMessages.map((message, index) => {\n const isUser = message.role === \"user\";\n return (\n
\n {!isUser && (\n
\n \n
\n )}\n\n \n {message.content ? (\n \n ) : (\n
\n \n Thinking...\n
\n )}\n
\n\n {isUser && (\n
\n \n
\n )}\n
\n );\n })}\n
\n
\n\n scrollToBottom(true)}\n aria-label=\"Scroll to bottom\"\n className={cn(\n \"absolute -bottom-5 left-1/2 z-0 -translate-x-1/2 opacity-0 transition-all duration-300\",\n !isAtBottom && chatMessages.length > 0 && \"bottom-3 z-10 opacity-100\",\n )}>\n \n Scroll to bottom\n \n \n );\n};\n" }, { "path": "components/paceui/native-ai/response-renderer/index.tsx", "type": "registry:ui", "content": "import React, { Children, type ReactNode, cloneElement, isValidElement, useMemo } from \"react\";\n\nimport { motion } from \"motion/react\";\nimport ReactMarkdown from \"react-markdown\";\nimport remarkGfm from \"remark-gfm\";\n\nexport type ResponseEffectType =\n \"none\" | \"fade-in\" | \"fade-in-up\" | \"fade-in-down\" | \"blur-in\" | \"blur-in-up\" | \"shimmer\" | \"glow\";\n\nexport interface ResponseRendererProps {\n content: string;\n effect?: ResponseEffectType;\n className?: string;\n}\n\ntype MDComponentProps = React.HTMLAttributes & { children?: ReactNode };\n\nconst EFFECT_CONFIGS: Record = {\n \"fade-in\": { initial: { opacity: 0 }, animate: { opacity: 1 }, transition: { duration: 0.25 } },\n \"fade-in-up\": {\n initial: { opacity: 0, y: 4 },\n animate: { opacity: 1, y: 0 },\n transition: { duration: 0.2, ease: \"easeOut\" },\n },\n \"fade-in-down\": {\n initial: { opacity: 0, y: -4 },\n animate: { opacity: 1, y: 0 },\n transition: { duration: 0.2, ease: \"easeOut\" },\n },\n \"blur-in\": {\n initial: { opacity: 0, filter: \"blur(3px)\", y: 2 },\n animate: { opacity: 1, filter: \"blur(0px)\", y: 0 },\n transition: { duration: 0.25, ease: \"easeOut\" },\n },\n \"blur-in-up\": {\n initial: { opacity: 0, filter: \"blur(3.5px)\", y: 6 },\n animate: { opacity: 1, filter: \"blur(0px)\", y: 0 },\n transition: { duration: 0.25, ease: \"easeOut\" },\n },\n shimmer: {\n initial: { opacity: 0, filter: \"brightness(1.8)\" },\n animate: { opacity: 1, filter: \"brightness(1)\" },\n transition: { duration: 0.3, ease: \"easeOut\" },\n },\n glow: {\n initial: { opacity: 0, filter: \"drop-shadow(0px 0px 4px rgba(124, 58, 237, 0.6))\" },\n animate: { opacity: 1, filter: \"drop-shadow(0px 0px 0px transparent)\" },\n transition: { duration: 0.3, ease: \"easeOut\" },\n },\n};\n\nconst AnimatedText = ({ children, effect = \"none\" }: { children: ReactNode; effect: ResponseEffectType }) => {\n if (effect === \"none\" || !children) return <>{children};\n\n const animationConfig = EFFECT_CONFIGS[effect] || EFFECT_CONFIGS[\"fade-in\"];\n\n const processNode = (node: ReactNode, index: number): ReactNode => {\n if (typeof node === \"string\") {\n return (\n \n {(node.match(/(\\s+|\\S+)/g) || []).map((part, partIndex) =>\n /^\\s+$/.test(part) ? (\n {part}\n ) : (\n \n {part}\n \n ),\n )}\n \n );\n }\n\n if (isValidElement(node)) {\n const element = node as React.ReactElement<{ children?: ReactNode }>;\n\n if (element.type === \"code\" || element.type === \"pre\") return element;\n\n if (element.props && element.props.children) {\n return cloneElement(element, {\n key: element.key || `elem-${index}`,\n children: Children.map(element.props.children, processNode),\n });\n }\n }\n return node;\n };\n\n return <>{Children.map(children, processNode)};\n};\n\nexport const ResponseRenderer = ({ content, effect = \"none\", className }: ResponseRendererProps) => {\n const formattedContent = useMemo(() => formatStreamingMarkdown(content), [content]);\n\n const components = useMemo(() => {\n const withAnimation =\n (Tag: React.ElementType, defaultClassName: string) =>\n ({ children, ...props }: MDComponentProps) => (\n \n {children}\n \n );\n\n return {\n h1: withAnimation(\"h1\", \"mb-3 text-2xl font-medium\"),\n h2: withAnimation(\"h2\", \"mb-2 text-xl font-medium\"),\n h3: withAnimation(\"h3\", \"mb-1 text-lg font-medium\"),\n ul: (props: MDComponentProps) =>
    ,\n li: withAnimation(\"li\", \"pl-1\"),\n strong: withAnimation(\"span\", \"font-medium\"),\n p: withAnimation(\"p\", \"mb-2 last:mb-0\"),\n a: withAnimation(\"a\", \"text-primary underline underline-offset-4 transition-opacity hover:opacity-80\"),\n table: (props: MDComponentProps) => (\n
    \n \n \n ),\n thead: (props: MDComponentProps) => ,\n tbody: (props: MDComponentProps) => ,\n tr: (props: MDComponentProps) => ,\n th: withAnimation(\"th\", \"text-muted-foreground h-10 px-4 text-left align-middle font-medium\"),\n td: withAnimation(\"td\", \"p-4 align-middle\"),\n };\n }, [effect]);\n\n return (\n
    \n \n {formattedContent}\n \n
    \n );\n};\n\nexport function formatStreamingMarkdown(input: string): string {\n if (!input) return \"\";\n const trailingSpaces = input.match(/\\s+$/)?.[0] || \"\";\n let str = trailingSpaces ? input.slice(0, -trailingSpaces.length) : input;\n if (!str) return input;\n\n str = str\n .replace(/(?:^|\\s)(?:[*_~]+|`+|\\[|!\\[)$/, (match) => match.match(/^\\s+/)?.[0] || \"\")\n .replace(/(?:^|\\n)(#{1,6})$/, \"\");\n if (!str) return trailingSpaces;\n\n let fence = \"\";\n for (const line of str.split(\"\\n\")) {\n const trimmedLine = line.trimStart();\n if (trimmedLine.startsWith(\"```\") || trimmedLine.startsWith(\"~~~\")) {\n fence = fence && trimmedLine.startsWith(fence) ? \"\" : fence || trimmedLine.slice(0, 3);\n }\n }\n if (fence) return str + (str.endsWith(\"\\n\") ? \"\" : \"\\n\") + fence + trailingSpaces;\n\n let inCode = \"\",\n i = 0;\n const stack: string[] = [];\n\n while (i < str.length) {\n if (str[i] === \"\\\\\" && ++i < str.length) {\n i++;\n continue;\n }\n\n if (str[i] === \"`\") {\n const start = i;\n while (i < str.length && str[i] === \"`\") i++;\n const ticks = str.slice(start, i);\n inCode = inCode ? (inCode === ticks ? \"\" : inCode) : ticks;\n continue;\n }\n\n if (inCode) {\n i++;\n continue;\n }\n\n if (str[i] === \"~\" && str[i + 1] === \"~\") {\n const prevChar = i > 0 ? str[i - 1] : \" \";\n const nextChar = i + 2 < str.length ? str[i + 2] : \"\";\n if (stack[stack.length - 1] === \"~~\" && prevChar !== \" \") stack.pop();\n else if (nextChar !== \" \") stack.push(\"~~\");\n i += 2;\n continue;\n }\n\n if (str[i] === \"*\" || str[i] === \"_\") {\n const char = str[i],\n start = i;\n while (i < str.length && str[i] === char) i++;\n\n const delimiter = str.slice(start, i);\n const prevChar = start > 0 ? str[start - 1] : \" \";\n const nextChar = i < str.length ? str[i] : \"\";\n\n const canOpen = nextChar !== \" \",\n canClose = prevChar !== \" \",\n topOfStack = stack[stack.length - 1] || \"\";\n\n if (canClose && topOfStack.startsWith(char)) {\n if (topOfStack === delimiter) stack.pop();\n else if (i === str.length && delimiter.length < topOfStack.length) continue;\n else if (canOpen) stack.push(delimiter);\n } else if (canOpen) {\n stack.push(delimiter);\n }\n continue;\n }\n\n if (str[i] === \"[\") {\n if (str[i + 1] !== \" \") stack.push(\"]\");\n i++;\n continue;\n }\n if (str[i] === \"]\" && stack[stack.length - 1] === \"]\") {\n stack.pop();\n if (str[++i] === \"(\") {\n stack.push(\")\");\n i++;\n }\n continue;\n }\n if (str[i] === \")\" && stack[stack.length - 1] === \")\") {\n stack.pop();\n i++;\n continue;\n }\n\n i++;\n }\n\n return str + (inCode || stack.reverse().join(\"\")) + trailingSpaces;\n}\n" } ], "mcp": { "description": "Device-local AI-powered functionality. A ready-to-use chat interface powered by Chrome's native Gemini Nano with streaming responses Relies on react-markdown, remark-gfm, prompt-api-polyfill. Ideal for privacy-first AI interfaces, streaming text responses, and Chrome Gemini Nano integrations.", "tags": [ "native-ai", "chat" ] } }