| |
| |
| |
|
|
| import type { Message } from 'ai';
|
| import React, { type RefCallback, useCallback, useEffect, useState } from 'react';
|
| import { ClientOnly } from 'remix-utils/client-only';
|
| import { Menu } from '~/components/sidebar/Menu.client';
|
| import { IconButton } from '~/components/ui/IconButton';
|
| import { Workbench } from '~/components/workbench/Workbench.client';
|
| import { classNames } from '~/utils/classNames';
|
| import { MODEL_LIST, PROVIDER_LIST, initializeModelList } from '~/utils/constants';
|
| import { Messages } from './Messages.client';
|
| import { SendButton } from './SendButton.client';
|
| import { APIKeyManager, getApiKeysFromCookies } from './APIKeyManager';
|
| import Cookies from 'js-cookie';
|
| import * as Tooltip from '@radix-ui/react-tooltip';
|
|
|
| import styles from './BaseChat.module.scss';
|
| import { ExportChatButton } from '~/components/chat/chatExportAndImport/ExportChatButton';
|
| import { ImportButtons } from '~/components/chat/chatExportAndImport/ImportButtons';
|
| import { ExamplePrompts } from '~/components/chat/ExamplePrompts';
|
| import GitCloneButton from './GitCloneButton';
|
|
|
| import FilePreview from './FilePreview';
|
| import { ModelSelector } from '~/components/chat/ModelSelector';
|
| import { SpeechRecognitionButton } from '~/components/chat/SpeechRecognition';
|
| import type { IProviderSetting, ProviderInfo } from '~/types/model';
|
| import { ScreenshotStateManager } from './ScreenshotStateManager';
|
| import { toast } from 'react-toastify';
|
| import StarterTemplates from './StarterTemplates';
|
| import type { ActionAlert } from '~/types/actions';
|
| import ChatAlert from './ChatAlert';
|
| import { LLMManager } from '~/lib/modules/llm/manager';
|
|
|
| const TEXTAREA_MIN_HEIGHT = 76;
|
|
|
| interface BaseChatProps {
|
| textareaRef?: React.RefObject<HTMLTextAreaElement> | undefined;
|
| messageRef?: RefCallback<HTMLDivElement> | undefined;
|
| scrollRef?: RefCallback<HTMLDivElement> | undefined;
|
| showChat?: boolean;
|
| chatStarted?: boolean;
|
| isStreaming?: boolean;
|
| messages?: Message[];
|
| description?: string;
|
| enhancingPrompt?: boolean;
|
| promptEnhanced?: boolean;
|
| input?: string;
|
| model?: string;
|
| setModel?: (model: string) => void;
|
| provider?: ProviderInfo;
|
| setProvider?: (provider: ProviderInfo) => void;
|
| providerList?: ProviderInfo[];
|
| handleStop?: () => void;
|
| sendMessage?: (event: React.UIEvent, messageInput?: string) => void;
|
| handleInputChange?: (event: React.ChangeEvent<HTMLTextAreaElement>) => void;
|
| enhancePrompt?: () => void;
|
| importChat?: (description: string, messages: Message[]) => Promise<void>;
|
| exportChat?: () => void;
|
| uploadedFiles?: File[];
|
| setUploadedFiles?: (files: File[]) => void;
|
| imageDataList?: string[];
|
| setImageDataList?: (dataList: string[]) => void;
|
| actionAlert?: ActionAlert;
|
| clearAlert?: () => void;
|
| }
|
|
|
| export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
|
| (
|
| {
|
| textareaRef,
|
| messageRef,
|
| scrollRef,
|
| showChat = true,
|
| chatStarted = false,
|
| isStreaming = false,
|
| model,
|
| setModel,
|
| provider,
|
| setProvider,
|
| providerList,
|
| input = '',
|
| enhancingPrompt,
|
| handleInputChange,
|
|
|
| // promptEnhanced,
|
| enhancePrompt,
|
| sendMessage,
|
| handleStop,
|
| importChat,
|
| exportChat,
|
| uploadedFiles = [],
|
| setUploadedFiles,
|
| imageDataList = [],
|
| setImageDataList,
|
| messages,
|
| actionAlert,
|
| clearAlert,
|
| },
|
| ref,
|
| ) => {
|
| const TEXTAREA_MAX_HEIGHT = chatStarted ? 400 : 200;
|
| const [apiKeys, setApiKeys] = useState<Record<string, string>>(getApiKeysFromCookies());
|
| const [modelList, setModelList] = useState(MODEL_LIST);
|
| const [isModelSettingsCollapsed, setIsModelSettingsCollapsed] = useState(false);
|
| const [isListening, setIsListening] = useState(false);
|
| const [recognition, setRecognition] = useState<SpeechRecognition | null>(null);
|
| const [transcript, setTranscript] = useState('');
|
| const [isModelLoading, setIsModelLoading] = useState<string | undefined>('all');
|
|
|
| const getProviderSettings = useCallback(() => {
|
| let providerSettings: Record<string, IProviderSetting> | undefined = undefined;
|
|
|
| try {
|
| const savedProviderSettings = Cookies.get('providers');
|
|
|
| if (savedProviderSettings) {
|
| const parsedProviderSettings = JSON.parse(savedProviderSettings);
|
|
|
| if (typeof parsedProviderSettings === 'object' && parsedProviderSettings !== null) {
|
| providerSettings = parsedProviderSettings;
|
| }
|
| }
|
| } catch (error) {
|
| console.error('Error loading Provider Settings from cookies:', error);
|
|
|
|
|
| Cookies.remove('providers');
|
| }
|
|
|
| return providerSettings;
|
| }, []);
|
| useEffect(() => {
|
| console.log(transcript);
|
| }, [transcript]);
|
|
|
| useEffect(() => {
|
| if (typeof window !== 'undefined' && ('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) {
|
| const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
|
| const recognition = new SpeechRecognition();
|
| recognition.continuous = true;
|
| recognition.interimResults = true;
|
|
|
| recognition.onresult = (event) => {
|
| const transcript = Array.from(event.results)
|
| .map((result) => result[0])
|
| .map((result) => result.transcript)
|
| .join('');
|
|
|
| setTranscript(transcript);
|
|
|
| if (handleInputChange) {
|
| const syntheticEvent = {
|
| target: { value: transcript },
|
| } as React.ChangeEvent<HTMLTextAreaElement>;
|
| handleInputChange(syntheticEvent);
|
| }
|
| };
|
|
|
| recognition.onerror = (event) => {
|
| console.error('Speech recognition error:', event.error);
|
| setIsListening(false);
|
| };
|
|
|
| setRecognition(recognition);
|
| }
|
| }, []);
|
|
|
| useEffect(() => {
|
| if (typeof window !== 'undefined') {
|
| const providerSettings = getProviderSettings();
|
| let parsedApiKeys: Record<string, string> | undefined = {};
|
|
|
| try {
|
| parsedApiKeys = getApiKeysFromCookies();
|
| setApiKeys(parsedApiKeys);
|
| } catch (error) {
|
| console.error('Error loading API keys from cookies:', error);
|
|
|
|
|
| Cookies.remove('apiKeys');
|
| }
|
| setIsModelLoading('all');
|
| initializeModelList({ apiKeys: parsedApiKeys, providerSettings })
|
| .then((modelList) => {
|
|
|
| setModelList(modelList);
|
| })
|
| .catch((error) => {
|
| console.error('Error initializing model list:', error);
|
| })
|
| .finally(() => {
|
| setIsModelLoading(undefined);
|
| });
|
| }
|
| }, [providerList]);
|
|
|
| const onApiKeysChange = async (providerName: string, apiKey: string) => {
|
| const newApiKeys = { ...apiKeys, [providerName]: apiKey };
|
| setApiKeys(newApiKeys);
|
| Cookies.set('apiKeys', JSON.stringify(newApiKeys));
|
|
|
| const provider = LLMManager.getInstance(import.meta.env || process.env || {}).getProvider(providerName);
|
|
|
| if (provider && provider.getDynamicModels) {
|
| setIsModelLoading(providerName);
|
|
|
| try {
|
| const providerSettings = getProviderSettings();
|
| const staticModels = provider.staticModels;
|
| const dynamicModels = await provider.getDynamicModels(
|
| newApiKeys,
|
| providerSettings,
|
| import.meta.env || process.env || {},
|
| );
|
|
|
| setModelList((preModels) => {
|
| const filteredOutPreModels = preModels.filter((x) => x.provider !== providerName);
|
| return [...filteredOutPreModels, ...staticModels, ...dynamicModels];
|
| });
|
| } catch (error) {
|
| console.error('Error loading dynamic models:', error);
|
| }
|
| setIsModelLoading(undefined);
|
| }
|
| };
|
|
|
| const startListening = () => {
|
| if (recognition) {
|
| recognition.start();
|
| setIsListening(true);
|
| }
|
| };
|
|
|
| const stopListening = () => {
|
| if (recognition) {
|
| recognition.stop();
|
| setIsListening(false);
|
| }
|
| };
|
|
|
| const handleSendMessage = (event: React.UIEvent, messageInput?: string) => {
|
| if (sendMessage) {
|
| sendMessage(event, messageInput);
|
|
|
| if (recognition) {
|
| recognition.abort();
|
| setTranscript('');
|
| setIsListening(false);
|
|
|
|
|
| if (handleInputChange) {
|
| const syntheticEvent = {
|
| target: { value: '' },
|
| } as React.ChangeEvent<HTMLTextAreaElement>;
|
| handleInputChange(syntheticEvent);
|
| }
|
| }
|
| }
|
| };
|
|
|
| const handleFileUpload = () => {
|
| const input = document.createElement('input');
|
| input.type = 'file';
|
| input.accept = 'image/*';
|
|
|
| input.onchange = async (e) => {
|
| const file = (e.target as HTMLInputElement).files?.[0];
|
|
|
| if (file) {
|
| const reader = new FileReader();
|
|
|
| reader.onload = (e) => {
|
| const base64Image = e.target?.result as string;
|
| setUploadedFiles?.([...uploadedFiles, file]);
|
| setImageDataList?.([...imageDataList, base64Image]);
|
| };
|
| reader.readAsDataURL(file);
|
| }
|
| };
|
|
|
| input.click();
|
| };
|
|
|
| const handlePaste = async (e: React.ClipboardEvent) => {
|
| const items = e.clipboardData?.items;
|
|
|
| if (!items) {
|
| return;
|
| }
|
|
|
| for (const item of items) {
|
| if (item.type.startsWith('image/')) {
|
| e.preventDefault();
|
|
|
| const file = item.getAsFile();
|
|
|
| if (file) {
|
| const reader = new FileReader();
|
|
|
| reader.onload = (e) => {
|
| const base64Image = e.target?.result as string;
|
| setUploadedFiles?.([...uploadedFiles, file]);
|
| setImageDataList?.([...imageDataList, base64Image]);
|
| };
|
| reader.readAsDataURL(file);
|
| }
|
|
|
| break;
|
| }
|
| }
|
| };
|
|
|
| const baseChat = (
|
| <div
|
| ref={ref}
|
| className={classNames(styles.BaseChat, 'relative flex h-full w-full overflow-hidden')}
|
| data-chat-visible={showChat}
|
| >
|
| <ClientOnly>{() => <Menu />}</ClientOnly>
|
| <div ref={scrollRef} className="flex flex-col lg:flex-row overflow-y-auto w-full h-full">
|
| <div className={classNames(styles.Chat, 'flex flex-col flex-grow lg:min-w-[var(--chat-min-width)] h-full')}>
|
| {!chatStarted && (
|
| <div id="intro" className="mt-[16vh] max-w-chat mx-auto text-center px-4 lg:px-0">
|
| <h1 className="text-3xl lg:text-6xl font-bold text-bolt-elements-textPrimary mb-4 animate-fade-in">
|
| Where ideas begin
|
| </h1>
|
| <p className="text-md lg:text-xl mb-8 text-bolt-elements-textSecondary animate-fade-in animation-delay-200">
|
| Bring ideas to life in seconds or get help on existing projects.
|
| </p>
|
| </div>
|
| )}
|
| <div
|
| className={classNames('pt-6 px-2 sm:px-6', {
|
| 'h-full flex flex-col': chatStarted,
|
| })}
|
| >
|
| <ClientOnly>
|
| {() => {
|
| return chatStarted ? (
|
| <Messages
|
| ref={messageRef}
|
| className="flex flex-col w-full flex-1 max-w-chat pb-6 mx-auto z-1"
|
| messages={messages}
|
| isStreaming={isStreaming}
|
| />
|
| ) : null;
|
| }}
|
| </ClientOnly>
|
| <div
|
| className={classNames('flex flex-col gap-4 w-full max-w-chat mx-auto z-prompt mb-6', {
|
| 'sticky bottom-2': chatStarted,
|
| })}
|
| >
|
| <div className="bg-bolt-elements-background-depth-2">
|
| {actionAlert && (
|
| <ChatAlert
|
| alert={actionAlert}
|
| clearAlert={() => clearAlert?.()}
|
| postMessage={(message) => {
|
| sendMessage?.({} as any, message);
|
| clearAlert?.();
|
| }}
|
| />
|
| )}
|
| </div>
|
| <div
|
| className={classNames(
|
| 'bg-bolt-elements-background-depth-2 p-3 rounded-lg border border-bolt-elements-borderColor relative w-full max-w-chat mx-auto z-prompt',
|
|
|
| /*
|
| * {
|
| * 'sticky bottom-2': chatStarted,
|
| * },
|
| */
|
| )}
|
| >
|
| <svg className={classNames(styles.PromptEffectContainer)}>
|
| <defs>
|
| <linearGradient
|
| id="line-gradient"
|
| x1="20%"
|
| y1="0%"
|
| x2="-14%"
|
| y2="10%"
|
| gradientUnits="userSpaceOnUse"
|
| gradientTransform="rotate(-45)"
|
| >
|
| <stop offset="0%" stopColor="#b44aff" stopOpacity="0%"></stop>
|
| <stop offset="40%" stopColor="#b44aff" stopOpacity="80%"></stop>
|
| <stop offset="50%" stopColor="#b44aff" stopOpacity="80%"></stop>
|
| <stop offset="100%" stopColor="#b44aff" stopOpacity="0%"></stop>
|
| </linearGradient>
|
| <linearGradient id="shine-gradient">
|
| <stop offset="0%" stopColor="white" stopOpacity="0%"></stop>
|
| <stop offset="40%" stopColor="#ffffff" stopOpacity="80%"></stop>
|
| <stop offset="50%" stopColor="#ffffff" stopOpacity="80%"></stop>
|
| <stop offset="100%" stopColor="white" stopOpacity="0%"></stop>
|
| </linearGradient>
|
| </defs>
|
| <rect className={classNames(styles.PromptEffectLine)} pathLength="100" strokeLinecap="round"></rect>
|
| <rect className={classNames(styles.PromptShine)} x="48" y="24" width="70" height="1"></rect>
|
| </svg>
|
| <div>
|
| <ClientOnly>
|
| {() => (
|
| <div className={isModelSettingsCollapsed ? 'hidden' : ''}>
|
| <ModelSelector
|
| key={provider?.name + ':' + modelList.length}
|
| model={model}
|
| setModel={setModel}
|
| modelList={modelList}
|
| provider={provider}
|
| setProvider={setProvider}
|
| providerList={providerList || (PROVIDER_LIST as ProviderInfo[])}
|
| apiKeys={apiKeys}
|
| modelLoading={isModelLoading}
|
| />
|
| {(providerList || []).length > 0 && provider && (
|
| <APIKeyManager
|
| provider={provider}
|
| apiKey={apiKeys[provider.name] || ''}
|
| setApiKey={(key) => {
|
| onApiKeysChange(provider.name, key);
|
| }}
|
| />
|
| )}
|
| </div>
|
| )}
|
| </ClientOnly>
|
| </div>
|
| <FilePreview
|
| files={uploadedFiles}
|
| imageDataList={imageDataList}
|
| onRemove={(index) => {
|
| setUploadedFiles?.(uploadedFiles.filter((_, i) => i !== index));
|
| setImageDataList?.(imageDataList.filter((_, i) => i !== index));
|
| }}
|
| />
|
| <ClientOnly>
|
| {() => (
|
| <ScreenshotStateManager
|
| setUploadedFiles={setUploadedFiles}
|
| setImageDataList={setImageDataList}
|
| uploadedFiles={uploadedFiles}
|
| imageDataList={imageDataList}
|
| />
|
| )}
|
| </ClientOnly>
|
| <div
|
| className={classNames(
|
| 'relative shadow-xs border border-bolt-elements-borderColor backdrop-blur rounded-lg',
|
| )}
|
| >
|
| <textarea
|
| ref={textareaRef}
|
| className={classNames(
|
| 'w-full pl-4 pt-4 pr-16 outline-none resize-none text-bolt-elements-textPrimary placeholder-bolt-elements-textTertiary bg-transparent text-sm',
|
| 'transition-all duration-200',
|
| 'hover:border-bolt-elements-focus',
|
| )}
|
| onDragEnter={(e) => {
|
| e.preventDefault();
|
| e.currentTarget.style.border = '2px solid #1488fc';
|
| }}
|
| onDragOver={(e) => {
|
| e.preventDefault();
|
| e.currentTarget.style.border = '2px solid #1488fc';
|
| }}
|
| onDragLeave={(e) => {
|
| e.preventDefault();
|
| e.currentTarget.style.border = '1px solid var(--bolt-elements-borderColor)';
|
| }}
|
| onDrop={(e) => {
|
| e.preventDefault();
|
| e.currentTarget.style.border = '1px solid var(--bolt-elements-borderColor)';
|
|
|
| const files = Array.from(e.dataTransfer.files);
|
| files.forEach((file) => {
|
| if (file.type.startsWith('image/')) {
|
| const reader = new FileReader();
|
|
|
| reader.onload = (e) => {
|
| const base64Image = e.target?.result as string;
|
| setUploadedFiles?.([...uploadedFiles, file]);
|
| setImageDataList?.([...imageDataList, base64Image]);
|
| };
|
| reader.readAsDataURL(file);
|
| }
|
| });
|
| }}
|
| onKeyDown={(event) => {
|
| if (event.key === 'Enter') {
|
| if (event.shiftKey) {
|
| return;
|
| }
|
|
|
| event.preventDefault();
|
|
|
| if (isStreaming) {
|
| handleStop?.();
|
| return;
|
| }
|
|
|
| // ignore if using input method engine
|
| if (event.nativeEvent.isComposing) {
|
| return;
|
| }
|
|
|
| handleSendMessage?.(event);
|
| }
|
| }}
|
| value={input}
|
| onChange={(event) => {
|
| handleInputChange?.(event);
|
| }}
|
| onPaste={handlePaste}
|
| style={{
|
| minHeight: TEXTAREA_MIN_HEIGHT,
|
| maxHeight: TEXTAREA_MAX_HEIGHT,
|
| }}
|
| placeholder="How can Bolt help you today?"
|
| translate="no"
|
| />
|
| <ClientOnly>
|
| {() => (
|
| <SendButton
|
| show={input.length > 0 || isStreaming || uploadedFiles.length > 0}
|
| isStreaming={isStreaming}
|
| disabled={!providerList || providerList.length === 0}
|
| onClick={(event) => {
|
| if (isStreaming) {
|
| handleStop?.();
|
| return;
|
| }
|
|
|
| if (input.length > 0 || uploadedFiles.length > 0) {
|
| handleSendMessage?.(event);
|
| }
|
| }}
|
| />
|
| )}
|
| </ClientOnly>
|
| <div className="flex justify-between items-center text-sm p-4 pt-2">
|
| <div className="flex gap-1 items-center">
|
| <IconButton title="Upload file" className="transition-all" onClick={() => handleFileUpload()}>
|
| <div className="i-ph:paperclip text-xl"></div>
|
| </IconButton>
|
| <IconButton
|
| title="Enhance prompt"
|
| disabled={input.length === 0 || enhancingPrompt}
|
| className={classNames('transition-all', enhancingPrompt ? 'opacity-100' : '')}
|
| onClick={() => {
|
| enhancePrompt?.();
|
| toast.success('Prompt enhanced!');
|
| }}
|
| >
|
| {enhancingPrompt ? (
|
| <div className="i-svg-spinners:90-ring-with-bg text-bolt-elements-loader-progress text-xl animate-spin"></div>
|
| ) : (
|
| <div className="i-bolt:stars text-xl"></div>
|
| )}
|
| </IconButton>
|
|
|
| <SpeechRecognitionButton
|
| isListening={isListening}
|
| onStart={startListening}
|
| onStop={stopListening}
|
| disabled={isStreaming}
|
| />
|
| {chatStarted && <ClientOnly>{() => <ExportChatButton exportChat={exportChat} />}</ClientOnly>}
|
| <IconButton
|
| title="Model Settings"
|
| className={classNames('transition-all flex items-center gap-1', {
|
| 'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent':
|
| isModelSettingsCollapsed,
|
| 'bg-bolt-elements-item-backgroundDefault text-bolt-elements-item-contentDefault':
|
| !isModelSettingsCollapsed,
|
| })}
|
| onClick={() => setIsModelSettingsCollapsed(!isModelSettingsCollapsed)}
|
| disabled={!providerList || providerList.length === 0}
|
| >
|
| <div className={`i-ph:caret-${isModelSettingsCollapsed ? 'right' : 'down'} text-lg`} />
|
| {isModelSettingsCollapsed ? <span className="text-xs">{model}</span> : <span />}
|
| </IconButton>
|
| </div>
|
| {input.length > 3 ? (
|
| <div className="text-xs text-bolt-elements-textTertiary">
|
| Use <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Shift</kbd>{' '}
|
| + <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Return</kbd>{' '}
|
| a new line
|
| </div>
|
| ) : null}
|
| </div>
|
| </div>
|
| </div>
|
| </div>
|
| </div>
|
| <div className="flex flex-col justify-center gap-5">
|
| {!chatStarted && (
|
| <div className="flex justify-center gap-2">
|
| {ImportButtons(importChat)}
|
| <GitCloneButton importChat={importChat} />
|
| </div>
|
| )}
|
| {!chatStarted &&
|
| ExamplePrompts((event, messageInput) => {
|
| if (isStreaming) {
|
| handleStop?.();
|
| return;
|
| }
|
|
|
| handleSendMessage?.(event, messageInput);
|
| })}
|
| {!chatStarted && <StarterTemplates />}
|
| </div>
|
| </div>
|
| <ClientOnly>{() => <Workbench chatStarted={chatStarted} isStreaming={isStreaming} />}</ClientOnly>
|
| </div>
|
| </div>
|
| );
|
|
|
| return <Tooltip.Provider delayDuration={200}>{baseChat}</Tooltip.Provider>;
|
| },
|
| );
|
|
|