mirror of
https://github.com/open-webui/open-webui
synced 2024-11-13 20:20:22 +00:00
1212 lines
32 KiB
Svelte
1212 lines
32 KiB
Svelte
<script lang="ts">
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import { v4 as uuidv4 } from 'uuid';
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import { toast } from 'svelte-sonner';
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import { getContext, onMount, tick } from 'svelte';
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import { goto } from '$app/navigation';
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import { page } from '$app/stores';
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import {
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chatId,
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chats,
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config,
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type Model,
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models,
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settings,
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showSidebar,
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tags as _tags,
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WEBUI_NAME,
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banners
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} from '$lib/stores';
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import { convertMessagesToHistory, copyToClipboard, splitStream } from '$lib/utils';
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import { cancelOllamaRequest, generateChatCompletion } from '$lib/apis/ollama';
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import {
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addTagById,
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createNewChat,
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deleteTagById,
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getAllChatTags,
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getChatById,
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getChatList,
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getTagsById,
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updateChatById
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} from '$lib/apis/chats';
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import {
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generateOpenAIChatCompletion,
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generateSearchQuery,
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generateTitle
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} from '$lib/apis/openai';
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import MessageInput from '$lib/components/chat/MessageInput.svelte';
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import Messages from '$lib/components/chat/Messages.svelte';
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import Navbar from '$lib/components/layout/Navbar.svelte';
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import { OLLAMA_API_BASE_URL, OPENAI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
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import { createOpenAITextStream } from '$lib/apis/streaming';
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import { queryMemory } from '$lib/apis/memories';
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import type { Writable } from 'svelte/store';
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import type { i18n as i18nType } from 'i18next';
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import { runWebSearch } from '$lib/apis/rag';
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import Banner from '../common/Banner.svelte';
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import { getUserSettings } from '$lib/apis/users';
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const i18n: Writable<i18nType> = getContext('i18n');
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export let chatIdProp = '';
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let loaded = false;
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let stopResponseFlag = false;
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let autoScroll = true;
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let processing = '';
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let messagesContainerElement: HTMLDivElement;
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let currentRequestId = null;
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let showModelSelector = true;
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let selectedModels = [''];
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let atSelectedModel: Model | undefined;
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let webSearchEnabled = false;
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let chat = null;
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let tags = [];
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let title = '';
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let prompt = '';
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let files = [];
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let messages = [];
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let history = {
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messages: {},
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currentId: null
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};
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$: if (history.currentId !== null) {
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let _messages = [];
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let currentMessage = history.messages[history.currentId];
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while (currentMessage !== null) {
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_messages.unshift({ ...currentMessage });
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currentMessage =
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currentMessage.parentId !== null ? history.messages[currentMessage.parentId] : null;
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}
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messages = _messages;
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} else {
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messages = [];
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}
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$: if (chatIdProp) {
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(async () => {
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if (await loadChat()) {
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await tick();
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loaded = true;
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window.setTimeout(() => scrollToBottom(), 0);
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const chatInput = document.getElementById('chat-textarea');
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chatInput?.focus();
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} else {
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await goto('/');
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}
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})();
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}
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onMount(async () => {
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if (!$chatId) {
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await initNewChat();
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} else {
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if (!($settings.saveChatHistory ?? true)) {
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await goto('/');
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}
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}
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});
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//////////////////////////
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// Web functions
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//////////////////////////
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const initNewChat = async () => {
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if (currentRequestId !== null) {
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await cancelOllamaRequest(localStorage.token, currentRequestId);
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currentRequestId = null;
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}
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window.history.replaceState(history.state, '', `/`);
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await chatId.set('');
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autoScroll = true;
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title = '';
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messages = [];
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history = {
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messages: {},
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currentId: null
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};
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if ($page.url.searchParams.get('models')) {
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selectedModels = $page.url.searchParams.get('models')?.split(',');
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} else if ($settings?.models) {
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selectedModels = $settings?.models;
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} else if ($config?.default_models) {
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console.log($config?.default_models.split(',') ?? '');
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selectedModels = $config?.default_models.split(',');
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} else {
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selectedModels = [''];
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}
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if ($page.url.searchParams.get('q')) {
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prompt = $page.url.searchParams.get('q') ?? '';
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if (prompt) {
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await tick();
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submitPrompt(prompt);
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}
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}
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selectedModels = selectedModels.map((modelId) =>
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$models.map((m) => m.id).includes(modelId) ? modelId : ''
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);
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const userSettings = await getUserSettings(localStorage.token);
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if (userSettings) {
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settings.set(userSettings.ui);
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} else {
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settings.set(JSON.parse(localStorage.getItem('settings') ?? '{}'));
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}
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const chatInput = document.getElementById('chat-textarea');
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setTimeout(() => chatInput?.focus(), 0);
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};
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const loadChat = async () => {
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chatId.set(chatIdProp);
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chat = await getChatById(localStorage.token, $chatId).catch(async (error) => {
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await goto('/');
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return null;
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});
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if (chat) {
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tags = await getTags();
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const chatContent = chat.chat;
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if (chatContent) {
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console.log(chatContent);
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selectedModels =
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(chatContent?.models ?? undefined) !== undefined
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? chatContent.models
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: [chatContent.models ?? ''];
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history =
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(chatContent?.history ?? undefined) !== undefined
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? chatContent.history
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: convertMessagesToHistory(chatContent.messages);
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title = chatContent.title;
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const userSettings = await getUserSettings(localStorage.token);
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if (userSettings) {
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await settings.set(userSettings.ui);
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} else {
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await settings.set(JSON.parse(localStorage.getItem('settings') ?? '{}'));
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}
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await settings.set({
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...$settings,
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system: chatContent.system ?? $settings.system,
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params: chatContent.options ?? $settings.params
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});
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autoScroll = true;
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await tick();
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if (messages.length > 0) {
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history.messages[messages.at(-1).id].done = true;
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}
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await tick();
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return true;
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} else {
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return null;
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}
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}
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};
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const scrollToBottom = async () => {
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await tick();
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if (messagesContainerElement) {
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messagesContainerElement.scrollTop = messagesContainerElement.scrollHeight;
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}
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};
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//////////////////////////
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// Ollama functions
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//////////////////////////
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const submitPrompt = async (userPrompt, _user = null) => {
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console.log('submitPrompt', $chatId);
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selectedModels = selectedModels.map((modelId) =>
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$models.map((m) => m.id).includes(modelId) ? modelId : ''
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);
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if (selectedModels.includes('')) {
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toast.error($i18n.t('Model not selected'));
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} else if (messages.length != 0 && messages.at(-1).done != true) {
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// Response not done
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console.log('wait');
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} else if (
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files.length > 0 &&
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files.filter((file) => file.upload_status === false).length > 0
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) {
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// Upload not done
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toast.error(
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$i18n.t(
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`Oops! Hold tight! Your files are still in the processing oven. We're cooking them up to perfection. Please be patient and we'll let you know once they're ready.`
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)
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);
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} else {
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// Reset chat message textarea height
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document.getElementById('chat-textarea').style.height = '';
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// Create user message
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let userMessageId = uuidv4();
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let userMessage = {
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id: userMessageId,
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parentId: messages.length !== 0 ? messages.at(-1).id : null,
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childrenIds: [],
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role: 'user',
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user: _user ?? undefined,
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content: userPrompt,
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files: files.length > 0 ? files : undefined,
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timestamp: Math.floor(Date.now() / 1000), // Unix epoch
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models: selectedModels.filter((m, mIdx) => selectedModels.indexOf(m) === mIdx)
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};
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// Add message to history and Set currentId to messageId
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history.messages[userMessageId] = userMessage;
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history.currentId = userMessageId;
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// Append messageId to childrenIds of parent message
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if (messages.length !== 0) {
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history.messages[messages.at(-1).id].childrenIds.push(userMessageId);
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}
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// Wait until history/message have been updated
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await tick();
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// Create new chat if only one message in messages
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if (messages.length == 1) {
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if ($settings.saveChatHistory ?? true) {
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chat = await createNewChat(localStorage.token, {
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id: $chatId,
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title: $i18n.t('New Chat'),
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models: selectedModels,
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system: $settings.system ?? undefined,
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options: {
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...($settings.params ?? {})
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},
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messages: messages,
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history: history,
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tags: [],
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timestamp: Date.now()
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});
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await chats.set(await getChatList(localStorage.token));
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await chatId.set(chat.id);
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} else {
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await chatId.set('local');
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}
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await tick();
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}
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// Reset chat input textarea
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prompt = '';
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document.getElementById('chat-textarea').style.height = '';
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files = [];
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// Send prompt
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await sendPrompt(userPrompt, userMessageId);
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}
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};
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const sendPrompt = async (prompt, parentId, modelId = null) => {
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const _chatId = JSON.parse(JSON.stringify($chatId));
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await Promise.all(
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(modelId
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? [modelId]
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: atSelectedModel !== undefined
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? [atSelectedModel.id]
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: selectedModels
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).map(async (modelId) => {
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console.log('modelId', modelId);
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const model = $models.filter((m) => m.id === modelId).at(0);
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if (model) {
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// If there are image files, check if model is vision capable
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const hasImages = messages.some((message) =>
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message.files?.some((file) => file.type === 'image')
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);
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if (hasImages && !(model.info?.meta?.capabilities?.vision ?? true)) {
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toast.error(
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$i18n.t('Model {{modelName}} is not vision capable', {
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modelName: model.name ?? model.id
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})
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);
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}
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// Create response message
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let responseMessageId = uuidv4();
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let responseMessage = {
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parentId: parentId,
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id: responseMessageId,
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childrenIds: [],
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role: 'assistant',
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content: '',
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model: model.id,
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modelName: model.name ?? model.id,
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userContext: null,
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timestamp: Math.floor(Date.now() / 1000) // Unix epoch
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};
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// Add message to history and Set currentId to messageId
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history.messages[responseMessageId] = responseMessage;
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history.currentId = responseMessageId;
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// Append messageId to childrenIds of parent message
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if (parentId !== null) {
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history.messages[parentId].childrenIds = [
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...history.messages[parentId].childrenIds,
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responseMessageId
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];
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}
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await tick();
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let userContext = null;
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if ($settings?.memory ?? false) {
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if (userContext === null) {
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const res = await queryMemory(localStorage.token, prompt).catch((error) => {
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toast.error(error);
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return null;
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});
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if (res) {
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if (res.documents[0].length > 0) {
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userContext = res.documents.reduce((acc, doc, index) => {
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const createdAtTimestamp = res.metadatas[index][0].created_at;
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const createdAtDate = new Date(createdAtTimestamp * 1000)
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.toISOString()
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.split('T')[0];
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acc.push(`${index + 1}. [${createdAtDate}]. ${doc[0]}`);
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return acc;
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}, []);
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}
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console.log(userContext);
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}
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}
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}
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responseMessage.userContext = userContext;
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if (webSearchEnabled) {
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await getWebSearchResults(model.id, parentId, responseMessageId);
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}
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if (model?.owned_by === 'openai') {
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await sendPromptOpenAI(model, prompt, responseMessageId, _chatId);
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} else if (model) {
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await sendPromptOllama(model, prompt, responseMessageId, _chatId);
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}
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} else {
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toast.error($i18n.t(`Model {{modelId}} not found`, { modelId }));
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}
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})
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);
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await chats.set(await getChatList(localStorage.token));
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};
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const getWebSearchResults = async (model: string, parentId: string, responseId: string) => {
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const responseMessage = history.messages[responseId];
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responseMessage.status = {
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done: false,
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action: 'web_search',
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description: $i18n.t('Generating search query')
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};
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messages = messages;
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const prompt = history.messages[parentId].content;
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let searchQuery = prompt;
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if (prompt.length > 100) {
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searchQuery = await generateChatSearchQuery(model, prompt);
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if (!searchQuery) {
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toast.warning($i18n.t('No search query generated'));
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responseMessage.status = {
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...responseMessage.status,
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done: true,
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error: true,
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description: 'No search query generated'
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};
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messages = messages;
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return;
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}
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}
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responseMessage.status = {
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...responseMessage.status,
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description: $i18n.t("Searching the web for '{{searchQuery}}'", { searchQuery })
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};
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messages = messages;
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const results = await runWebSearch(localStorage.token, searchQuery);
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if (results === undefined) {
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toast.warning($i18n.t('No search results found'));
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responseMessage.status = {
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...responseMessage.status,
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done: true,
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error: true,
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description: 'No search results found'
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};
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messages = messages;
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return;
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}
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responseMessage.status = {
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...responseMessage.status,
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done: true,
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description: $i18n.t('Searched {{count}} sites', { count: results.filenames.length }),
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urls: results.filenames
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};
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if (responseMessage?.files ?? undefined === undefined) {
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responseMessage.files = [];
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}
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responseMessage.files.push({
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collection_name: results.collection_name,
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name: searchQuery,
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type: 'web_search_results',
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urls: results.filenames
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});
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messages = messages;
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};
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const sendPromptOllama = async (model, userPrompt, responseMessageId, _chatId) => {
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model = model.id;
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const responseMessage = history.messages[responseMessageId];
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// Wait until history/message have been updated
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await tick();
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// Scroll down
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scrollToBottom();
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const messagesBody = [
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$settings.system || (responseMessage?.userContext ?? null)
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? {
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role: 'system',
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content: `${$settings?.system ?? ''}${
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responseMessage?.userContext ?? null
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? `\n\nUser Context:\n${(responseMessage?.userContext ?? []).join('\n')}`
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: ''
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}`
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}
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: undefined,
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...messages
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]
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.filter((message) => message?.content?.trim())
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.map((message, idx, arr) => {
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// Prepare the base message object
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const baseMessage = {
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role: message.role,
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content: message.content
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};
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|
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// Extract and format image URLs if any exist
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const imageUrls = message.files
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?.filter((file) => file.type === 'image')
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.map((file) => file.url.slice(file.url.indexOf(',') + 1));
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// Add images array only if it contains elements
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if (imageUrls && imageUrls.length > 0 && message.role === 'user') {
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baseMessage.images = imageUrls;
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}
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return baseMessage;
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});
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let lastImageIndex = -1;
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|
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// Find the index of the last object with images
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messagesBody.forEach((item, index) => {
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if (item.images) {
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lastImageIndex = index;
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}
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});
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// Remove images from all but the last one
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messagesBody.forEach((item, index) => {
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if (index !== lastImageIndex) {
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delete item.images;
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}
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});
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const docs = messages
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.filter((message) => message?.files ?? null)
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.map((message) =>
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message.files.filter((item) =>
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['doc', 'collection', 'web_search_results'].includes(item.type)
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)
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)
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.flat(1);
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const [res, controller] = await generateChatCompletion(localStorage.token, {
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model: model,
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messages: messagesBody,
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options: {
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...($settings.params ?? {}),
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stop:
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$settings?.params?.stop ?? undefined
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? $settings.params.stop.map((str) =>
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decodeURIComponent(JSON.parse('"' + str.replace(/\"/g, '\\"') + '"'))
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|
)
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: undefined,
|
|
num_predict: $settings?.params?.max_tokens ?? undefined,
|
|
repeat_penalty: $settings?.params?.frequency_penalty ?? undefined
|
|
},
|
|
format: $settings.requestFormat ?? undefined,
|
|
keep_alive: $settings.keepAlive ?? undefined,
|
|
docs: docs.length > 0 ? docs : undefined,
|
|
citations: docs.length > 0
|
|
});
|
|
|
|
if (res && res.ok) {
|
|
console.log('controller', controller);
|
|
|
|
const reader = res.body
|
|
.pipeThrough(new TextDecoderStream())
|
|
.pipeThrough(splitStream('\n'))
|
|
.getReader();
|
|
|
|
while (true) {
|
|
const { value, done } = await reader.read();
|
|
if (done || stopResponseFlag || _chatId !== $chatId) {
|
|
responseMessage.done = true;
|
|
messages = messages;
|
|
|
|
if (stopResponseFlag) {
|
|
controller.abort('User: Stop Response');
|
|
await cancelOllamaRequest(localStorage.token, currentRequestId);
|
|
}
|
|
|
|
currentRequestId = null;
|
|
|
|
break;
|
|
}
|
|
|
|
try {
|
|
let lines = value.split('\n');
|
|
|
|
for (const line of lines) {
|
|
if (line !== '') {
|
|
console.log(line);
|
|
let data = JSON.parse(line);
|
|
|
|
if ('citations' in data) {
|
|
responseMessage.citations = data.citations;
|
|
continue;
|
|
}
|
|
|
|
if ('detail' in data) {
|
|
throw data;
|
|
}
|
|
|
|
if ('id' in data) {
|
|
console.log(data);
|
|
currentRequestId = data.id;
|
|
} else {
|
|
if (data.done == false) {
|
|
if (responseMessage.content == '' && data.message.content == '\n') {
|
|
continue;
|
|
} else {
|
|
responseMessage.content += data.message.content;
|
|
messages = messages;
|
|
}
|
|
} else {
|
|
responseMessage.done = true;
|
|
|
|
if (responseMessage.content == '') {
|
|
responseMessage.error = true;
|
|
responseMessage.content =
|
|
'Oops! No text generated from Ollama, Please try again.';
|
|
}
|
|
|
|
responseMessage.context = data.context ?? null;
|
|
responseMessage.info = {
|
|
total_duration: data.total_duration,
|
|
load_duration: data.load_duration,
|
|
sample_count: data.sample_count,
|
|
sample_duration: data.sample_duration,
|
|
prompt_eval_count: data.prompt_eval_count,
|
|
prompt_eval_duration: data.prompt_eval_duration,
|
|
eval_count: data.eval_count,
|
|
eval_duration: data.eval_duration
|
|
};
|
|
messages = messages;
|
|
|
|
if ($settings.notificationEnabled && !document.hasFocus()) {
|
|
const notification = new Notification(
|
|
selectedModelfile
|
|
? `${
|
|
selectedModelfile.title.charAt(0).toUpperCase() +
|
|
selectedModelfile.title.slice(1)
|
|
}`
|
|
: `${model}`,
|
|
{
|
|
body: responseMessage.content,
|
|
icon: selectedModelfile?.imageUrl ?? `${WEBUI_BASE_URL}/static/favicon.png`
|
|
}
|
|
);
|
|
}
|
|
|
|
if ($settings.responseAutoCopy) {
|
|
copyToClipboard(responseMessage.content);
|
|
}
|
|
|
|
if ($settings.responseAutoPlayback) {
|
|
await tick();
|
|
document.getElementById(`speak-button-${responseMessage.id}`)?.click();
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
} catch (error) {
|
|
console.log(error);
|
|
if ('detail' in error) {
|
|
toast.error(error.detail);
|
|
}
|
|
break;
|
|
}
|
|
|
|
if (autoScroll) {
|
|
scrollToBottom();
|
|
}
|
|
}
|
|
|
|
if ($chatId == _chatId) {
|
|
if ($settings.saveChatHistory ?? true) {
|
|
chat = await updateChatById(localStorage.token, _chatId, {
|
|
messages: messages,
|
|
history: history,
|
|
models: selectedModels
|
|
});
|
|
await chats.set(await getChatList(localStorage.token));
|
|
}
|
|
}
|
|
} else {
|
|
if (res !== null) {
|
|
const error = await res.json();
|
|
console.log(error);
|
|
if ('detail' in error) {
|
|
toast.error(error.detail);
|
|
responseMessage.content = error.detail;
|
|
} else {
|
|
toast.error(error.error);
|
|
responseMessage.content = error.error;
|
|
}
|
|
} else {
|
|
toast.error(
|
|
$i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, { provider: 'Ollama' })
|
|
);
|
|
responseMessage.content = $i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, {
|
|
provider: 'Ollama'
|
|
});
|
|
}
|
|
|
|
responseMessage.error = true;
|
|
responseMessage.content = $i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, {
|
|
provider: 'Ollama'
|
|
});
|
|
responseMessage.done = true;
|
|
messages = messages;
|
|
}
|
|
|
|
stopResponseFlag = false;
|
|
await tick();
|
|
|
|
if (autoScroll) {
|
|
scrollToBottom();
|
|
}
|
|
|
|
if (messages.length == 2 && messages.at(1).content !== '') {
|
|
window.history.replaceState(history.state, '', `/c/${_chatId}`);
|
|
const _title = await generateChatTitle(userPrompt);
|
|
await setChatTitle(_chatId, _title);
|
|
}
|
|
};
|
|
|
|
const sendPromptOpenAI = async (model, userPrompt, responseMessageId, _chatId) => {
|
|
const responseMessage = history.messages[responseMessageId];
|
|
|
|
const docs = messages
|
|
.filter((message) => message?.files ?? null)
|
|
.map((message) =>
|
|
message.files.filter((item) =>
|
|
['doc', 'collection', 'web_search_results'].includes(item.type)
|
|
)
|
|
)
|
|
.flat(1);
|
|
|
|
console.log(docs);
|
|
|
|
scrollToBottom();
|
|
|
|
try {
|
|
const [res, controller] = await generateOpenAIChatCompletion(
|
|
localStorage.token,
|
|
{
|
|
model: model.id,
|
|
stream: true,
|
|
stream_options:
|
|
model.info?.meta?.capabilities?.usage ?? false
|
|
? {
|
|
include_usage: true
|
|
}
|
|
: undefined,
|
|
messages: [
|
|
$settings.system || (responseMessage?.userContext ?? null)
|
|
? {
|
|
role: 'system',
|
|
content: `${$settings?.system ?? ''}${
|
|
responseMessage?.userContext ?? null
|
|
? `\n\nUser Context:\n${(responseMessage?.userContext ?? []).join('\n')}`
|
|
: ''
|
|
}`
|
|
}
|
|
: undefined,
|
|
...messages
|
|
]
|
|
.filter((message) => message?.content?.trim())
|
|
.map((message, idx, arr) => ({
|
|
role: message.role,
|
|
...((message.files?.filter((file) => file.type === 'image').length > 0 ?? false) &&
|
|
message.role === 'user'
|
|
? {
|
|
content: [
|
|
{
|
|
type: 'text',
|
|
text:
|
|
arr.length - 1 !== idx
|
|
? message.content
|
|
: message?.raContent ?? message.content
|
|
},
|
|
...message.files
|
|
.filter((file) => file.type === 'image')
|
|
.map((file) => ({
|
|
type: 'image_url',
|
|
image_url: {
|
|
url: file.url
|
|
}
|
|
}))
|
|
]
|
|
}
|
|
: {
|
|
content:
|
|
arr.length - 1 !== idx
|
|
? message.content
|
|
: message?.raContent ?? message.content
|
|
})
|
|
})),
|
|
seed: $settings?.params?.seed ?? undefined,
|
|
stop:
|
|
$settings?.params?.stop ?? undefined
|
|
? $settings.params.stop.map((str) =>
|
|
decodeURIComponent(JSON.parse('"' + str.replace(/\"/g, '\\"') + '"'))
|
|
)
|
|
: undefined,
|
|
temperature: $settings?.params?.temperature ?? undefined,
|
|
top_p: $settings?.params?.top_p ?? undefined,
|
|
frequency_penalty: $settings?.params?.frequency_penalty ?? undefined,
|
|
max_tokens: $settings?.params?.max_tokens ?? undefined,
|
|
docs: docs.length > 0 ? docs : undefined,
|
|
citations: docs.length > 0
|
|
},
|
|
`${OPENAI_API_BASE_URL}`
|
|
);
|
|
|
|
// Wait until history/message have been updated
|
|
await tick();
|
|
|
|
scrollToBottom();
|
|
|
|
if (res && res.ok && res.body) {
|
|
const textStream = await createOpenAITextStream(res.body, $settings.splitLargeChunks);
|
|
let lastUsage = null;
|
|
|
|
for await (const update of textStream) {
|
|
const { value, done, citations, error, usage } = update;
|
|
if (error) {
|
|
await handleOpenAIError(error, null, model, responseMessage);
|
|
break;
|
|
}
|
|
if (done || stopResponseFlag || _chatId !== $chatId) {
|
|
responseMessage.done = true;
|
|
messages = messages;
|
|
|
|
if (stopResponseFlag) {
|
|
controller.abort('User: Stop Response');
|
|
}
|
|
|
|
break;
|
|
}
|
|
|
|
if (usage) {
|
|
lastUsage = usage;
|
|
}
|
|
|
|
if (citations) {
|
|
responseMessage.citations = citations;
|
|
continue;
|
|
}
|
|
|
|
if (responseMessage.content == '' && value == '\n') {
|
|
continue;
|
|
} else {
|
|
responseMessage.content += value;
|
|
messages = messages;
|
|
}
|
|
|
|
if ($settings.notificationEnabled && !document.hasFocus()) {
|
|
const notification = new Notification(`OpenAI ${model}`, {
|
|
body: responseMessage.content,
|
|
icon: `${WEBUI_BASE_URL}/static/favicon.png`
|
|
});
|
|
}
|
|
|
|
if ($settings.responseAutoCopy) {
|
|
copyToClipboard(responseMessage.content);
|
|
}
|
|
|
|
if ($settings.responseAutoPlayback) {
|
|
await tick();
|
|
document.getElementById(`speak-button-${responseMessage.id}`)?.click();
|
|
}
|
|
|
|
if (autoScroll) {
|
|
scrollToBottom();
|
|
}
|
|
}
|
|
|
|
if (lastUsage) {
|
|
responseMessage.info = { ...lastUsage, openai: true };
|
|
}
|
|
|
|
if ($chatId == _chatId) {
|
|
if ($settings.saveChatHistory ?? true) {
|
|
chat = await updateChatById(localStorage.token, _chatId, {
|
|
models: selectedModels,
|
|
messages: messages,
|
|
history: history
|
|
});
|
|
await chats.set(await getChatList(localStorage.token));
|
|
}
|
|
}
|
|
} else {
|
|
await handleOpenAIError(null, res, model, responseMessage);
|
|
}
|
|
} catch (error) {
|
|
await handleOpenAIError(error, null, model, responseMessage);
|
|
}
|
|
messages = messages;
|
|
|
|
stopResponseFlag = false;
|
|
await tick();
|
|
|
|
if (autoScroll) {
|
|
scrollToBottom();
|
|
}
|
|
|
|
if (messages.length == 2) {
|
|
window.history.replaceState(history.state, '', `/c/${_chatId}`);
|
|
|
|
const _title = await generateChatTitle(userPrompt);
|
|
await setChatTitle(_chatId, _title);
|
|
}
|
|
};
|
|
|
|
const handleOpenAIError = async (error, res: Response | null, model, responseMessage) => {
|
|
let errorMessage = '';
|
|
let innerError;
|
|
|
|
if (error) {
|
|
innerError = error;
|
|
} else if (res !== null) {
|
|
innerError = await res.json();
|
|
}
|
|
console.error(innerError);
|
|
if ('detail' in innerError) {
|
|
toast.error(innerError.detail);
|
|
errorMessage = innerError.detail;
|
|
} else if ('error' in innerError) {
|
|
if ('message' in innerError.error) {
|
|
toast.error(innerError.error.message);
|
|
errorMessage = innerError.error.message;
|
|
} else {
|
|
toast.error(innerError.error);
|
|
errorMessage = innerError.error;
|
|
}
|
|
} else if ('message' in innerError) {
|
|
toast.error(innerError.message);
|
|
errorMessage = innerError.message;
|
|
}
|
|
|
|
responseMessage.error = true;
|
|
responseMessage.content =
|
|
$i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, {
|
|
provider: model.name ?? model.id
|
|
}) +
|
|
'\n' +
|
|
errorMessage;
|
|
responseMessage.done = true;
|
|
|
|
messages = messages;
|
|
};
|
|
|
|
const stopResponse = () => {
|
|
stopResponseFlag = true;
|
|
console.log('stopResponse');
|
|
};
|
|
|
|
const regenerateResponse = async (message) => {
|
|
console.log('regenerateResponse');
|
|
|
|
if (messages.length != 0) {
|
|
let userMessage = history.messages[message.parentId];
|
|
let userPrompt = userMessage.content;
|
|
|
|
if ((userMessage?.models ?? [...selectedModels]).length == 1) {
|
|
await sendPrompt(userPrompt, userMessage.id);
|
|
} else {
|
|
await sendPrompt(userPrompt, userMessage.id, message.model);
|
|
}
|
|
}
|
|
};
|
|
|
|
const continueGeneration = async () => {
|
|
console.log('continueGeneration');
|
|
const _chatId = JSON.parse(JSON.stringify($chatId));
|
|
|
|
if (messages.length != 0 && messages.at(-1).done == true) {
|
|
const responseMessage = history.messages[history.currentId];
|
|
responseMessage.done = false;
|
|
await tick();
|
|
|
|
const model = $models.filter((m) => m.id === responseMessage.model).at(0);
|
|
|
|
if (model) {
|
|
if (model?.owned_by === 'openai') {
|
|
await sendPromptOpenAI(
|
|
model,
|
|
history.messages[responseMessage.parentId].content,
|
|
responseMessage.id,
|
|
_chatId
|
|
);
|
|
} else
|
|
await sendPromptOllama(
|
|
model,
|
|
history.messages[responseMessage.parentId].content,
|
|
responseMessage.id,
|
|
_chatId
|
|
);
|
|
}
|
|
} else {
|
|
toast.error($i18n.t(`Model {{modelId}} not found`, { modelId }));
|
|
}
|
|
};
|
|
|
|
const generateChatTitle = async (userPrompt) => {
|
|
if ($settings?.title?.auto ?? true) {
|
|
const model = $models.find((model) => model.id === selectedModels[0]);
|
|
|
|
const titleModelId =
|
|
model?.owned_by === 'openai' ?? false
|
|
? $settings?.title?.modelExternal ?? selectedModels[0]
|
|
: $settings?.title?.model ?? selectedModels[0];
|
|
const titleModel = $models.find((model) => model.id === titleModelId);
|
|
|
|
console.log(titleModel);
|
|
const title = await generateTitle(
|
|
localStorage.token,
|
|
$settings?.title?.prompt ??
|
|
$i18n.t(
|
|
"Create a concise, 3-5 word phrase as a header for the following query, strictly adhering to the 3-5 word limit and avoiding the use of the word 'title':"
|
|
) + ' {{prompt}}',
|
|
titleModelId,
|
|
userPrompt,
|
|
titleModel?.owned_by === 'openai' ?? false
|
|
? `${OPENAI_API_BASE_URL}`
|
|
: `${OLLAMA_API_BASE_URL}/v1`
|
|
);
|
|
|
|
return title;
|
|
} else {
|
|
return `${userPrompt}`;
|
|
}
|
|
};
|
|
|
|
const generateChatSearchQuery = async (modelId: string, prompt: string) => {
|
|
const model = $models.find((model) => model.id === modelId);
|
|
const taskModelId =
|
|
model?.owned_by === 'openai' ?? false
|
|
? $settings?.title?.modelExternal ?? modelId
|
|
: $settings?.title?.model ?? modelId;
|
|
const taskModel = $models.find((model) => model.id === taskModelId);
|
|
|
|
const previousMessages = messages
|
|
.filter((message) => message.role === 'user')
|
|
.map((message) => message.content);
|
|
|
|
return await generateSearchQuery(
|
|
localStorage.token,
|
|
taskModelId,
|
|
previousMessages,
|
|
prompt,
|
|
taskModel?.owned_by === 'openai' ?? false
|
|
? `${OPENAI_API_BASE_URL}`
|
|
: `${OLLAMA_API_BASE_URL}/v1`
|
|
);
|
|
};
|
|
|
|
const setChatTitle = async (_chatId, _title) => {
|
|
if (_chatId === $chatId) {
|
|
title = _title;
|
|
}
|
|
|
|
if ($settings.saveChatHistory ?? true) {
|
|
chat = await updateChatById(localStorage.token, _chatId, { title: _title });
|
|
await chats.set(await getChatList(localStorage.token));
|
|
}
|
|
};
|
|
|
|
const getTags = async () => {
|
|
return await getTagsById(localStorage.token, $chatId).catch(async (error) => {
|
|
return [];
|
|
});
|
|
};
|
|
|
|
const addTag = async (tagName) => {
|
|
const res = await addTagById(localStorage.token, $chatId, tagName);
|
|
tags = await getTags();
|
|
|
|
chat = await updateChatById(localStorage.token, $chatId, {
|
|
tags: tags
|
|
});
|
|
|
|
_tags.set(await getAllChatTags(localStorage.token));
|
|
};
|
|
|
|
const deleteTag = async (tagName) => {
|
|
const res = await deleteTagById(localStorage.token, $chatId, tagName);
|
|
tags = await getTags();
|
|
|
|
chat = await updateChatById(localStorage.token, $chatId, {
|
|
tags: tags
|
|
});
|
|
|
|
_tags.set(await getAllChatTags(localStorage.token));
|
|
};
|
|
</script>
|
|
|
|
<svelte:head>
|
|
<title>
|
|
{title
|
|
? `${title.length > 30 ? `${title.slice(0, 30)}...` : title} | ${$WEBUI_NAME}`
|
|
: `${$WEBUI_NAME}`}
|
|
</title>
|
|
</svelte:head>
|
|
|
|
{#if !chatIdProp || (loaded && chatIdProp)}
|
|
<div
|
|
class="min-h-screen max-h-screen {$showSidebar
|
|
? 'md:max-w-[calc(100%-260px)]'
|
|
: ''} w-full max-w-full flex flex-col"
|
|
>
|
|
<Navbar
|
|
{title}
|
|
bind:selectedModels
|
|
bind:showModelSelector
|
|
shareEnabled={messages.length > 0}
|
|
{chat}
|
|
{initNewChat}
|
|
/>
|
|
|
|
{#if $banners.length > 0 && !$chatId && selectedModels.length <= 1}
|
|
<div
|
|
class="absolute top-[4.25rem] w-full {$showSidebar ? 'md:max-w-[calc(100%-260px)]' : ''}"
|
|
>
|
|
<div class=" flex flex-col gap-1 w-full">
|
|
{#each $banners.filter( (b) => (b.dismissible ? !JSON.parse(localStorage.getItem('dismissedBannerIds') ?? '[]').includes(b.id) : true) ) as banner}
|
|
<Banner
|
|
{banner}
|
|
on:dismiss={(e) => {
|
|
const bannerId = e.detail;
|
|
|
|
localStorage.setItem(
|
|
'dismissedBannerIds',
|
|
JSON.stringify(
|
|
[
|
|
bannerId,
|
|
...JSON.parse(localStorage.getItem('dismissedBannerIds') ?? '[]')
|
|
].filter((id) => $banners.find((b) => b.id === id))
|
|
)
|
|
);
|
|
}}
|
|
/>
|
|
{/each}
|
|
</div>
|
|
</div>
|
|
{/if}
|
|
|
|
<div class="flex flex-col flex-auto">
|
|
<div
|
|
class=" pb-2.5 flex flex-col justify-between w-full flex-auto overflow-auto h-0 max-w-full"
|
|
id="messages-container"
|
|
bind:this={messagesContainerElement}
|
|
on:scroll={(e) => {
|
|
autoScroll =
|
|
messagesContainerElement.scrollHeight - messagesContainerElement.scrollTop <=
|
|
messagesContainerElement.clientHeight + 5;
|
|
}}
|
|
>
|
|
<div class=" h-full w-full flex flex-col {chatIdProp ? 'py-4' : 'pt-2 pb-4'}">
|
|
<Messages
|
|
chatId={$chatId}
|
|
{selectedModels}
|
|
{processing}
|
|
bind:history
|
|
bind:messages
|
|
bind:autoScroll
|
|
bind:prompt
|
|
bottomPadding={files.length > 0}
|
|
{sendPrompt}
|
|
{continueGeneration}
|
|
{regenerateResponse}
|
|
/>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<MessageInput
|
|
bind:files
|
|
bind:prompt
|
|
bind:autoScroll
|
|
bind:webSearchEnabled
|
|
bind:atSelectedModel
|
|
{selectedModels}
|
|
{messages}
|
|
{submitPrompt}
|
|
{stopResponse}
|
|
/>
|
|
{/if}
|