open-webui/src/lib/components/chat/Chat.svelte

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<script lang="ts">
import { v4 as uuidv4 } from 'uuid';
import { toast } from 'svelte-sonner';
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import mermaid from 'mermaid';
import { getContext, onMount, tick } from 'svelte';
import { goto } from '$app/navigation';
import { page } from '$app/stores';
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import type { Writable } from 'svelte/store';
import type { i18n as i18nType } from 'i18next';
import { OLLAMA_API_BASE_URL, OPENAI_API_BASE_URL, WEBUI_BASE_URL } from '$lib/constants';
import {
chatId,
chats,
config,
type Model,
models,
settings,
showSidebar,
tags as _tags,
WEBUI_NAME,
banners,
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user,
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socket,
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showCallOverlay,
tools
} from '$lib/stores';
import {
convertMessagesToHistory,
copyToClipboard,
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extractSentencesForAudio,
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getUserPosition,
promptTemplate,
splitStream
} from '$lib/utils';
import { generateChatCompletion } from '$lib/apis/ollama';
import {
addTagById,
createNewChat,
deleteTagById,
getAllChatTags,
getChatById,
getChatList,
getTagsById,
updateChatById
} from '$lib/apis/chats';
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import { generateOpenAIChatCompletion } from '$lib/apis/openai';
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import { runWebSearch } from '$lib/apis/rag';
import { createOpenAITextStream } from '$lib/apis/streaming';
import { queryMemory } from '$lib/apis/memories';
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import { getAndUpdateUserLocation, getUserSettings } from '$lib/apis/users';
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import { chatCompleted, generateTitle, generateSearchQuery } from '$lib/apis';
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import Banner from '../common/Banner.svelte';
import MessageInput from '$lib/components/chat/MessageInput.svelte';
import Messages from '$lib/components/chat/Messages.svelte';
import Navbar from '$lib/components/layout/Navbar.svelte';
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import CallOverlay from './MessageInput/CallOverlay.svelte';
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import { error } from '@sveltejs/kit';
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const i18n: Writable<i18nType> = getContext('i18n');
export let chatIdProp = '';
let loaded = false;
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const eventTarget = new EventTarget();
let stopResponseFlag = false;
let autoScroll = true;
let processing = '';
let messagesContainerElement: HTMLDivElement;
let showModelSelector = true;
let selectedModels = [''];
let atSelectedModel: Model | undefined;
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let selectedModelIds = [];
$: selectedModelIds = atSelectedModel !== undefined ? [atSelectedModel.id] : selectedModels;
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let selectedToolIds = [];
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let webSearchEnabled = false;
let chat = null;
let tags = [];
let title = '';
let prompt = '';
let files = [];
let messages = [];
let history = {
messages: {},
currentId: null
};
$: if (history.currentId !== null) {
let _messages = [];
let currentMessage = history.messages[history.currentId];
while (currentMessage !== null) {
_messages.unshift({ ...currentMessage });
currentMessage =
currentMessage.parentId !== null ? history.messages[currentMessage.parentId] : null;
}
messages = _messages;
} else {
messages = [];
}
$: if (chatIdProp) {
(async () => {
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console.log(chatIdProp);
if (chatIdProp && (await loadChat())) {
await tick();
loaded = true;
window.setTimeout(() => scrollToBottom(), 0);
const chatInput = document.getElementById('chat-textarea');
chatInput?.focus();
} else {
await goto('/');
}
})();
}
onMount(async () => {
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if (!$chatId) {
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chatId.subscribe(async (value) => {
if (!value) {
await initNewChat();
}
});
} else {
if (!($settings.saveChatHistory ?? true)) {
await goto('/');
}
}
});
//////////////////////////
// Web functions
//////////////////////////
const initNewChat = async () => {
window.history.replaceState(history.state, '', `/`);
await chatId.set('');
autoScroll = true;
title = '';
messages = [];
history = {
messages: {},
currentId: null
};
if ($page.url.searchParams.get('models')) {
selectedModels = $page.url.searchParams.get('models')?.split(',');
} else if ($settings?.models) {
selectedModels = $settings?.models;
} else if ($config?.default_models) {
console.log($config?.default_models.split(',') ?? '');
selectedModels = $config?.default_models.split(',');
} else {
selectedModels = [''];
}
if ($page.url.searchParams.get('q')) {
prompt = $page.url.searchParams.get('q') ?? '';
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if (prompt) {
await tick();
submitPrompt(prompt);
}
}
selectedModels = selectedModels.map((modelId) =>
$models.map((m) => m.id).includes(modelId) ? modelId : ''
);
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const userSettings = await getUserSettings(localStorage.token);
if (userSettings) {
settings.set(userSettings.ui);
} else {
settings.set(JSON.parse(localStorage.getItem('settings') ?? '{}'));
}
const chatInput = document.getElementById('chat-textarea');
setTimeout(() => chatInput?.focus(), 0);
};
const loadChat = async () => {
chatId.set(chatIdProp);
chat = await getChatById(localStorage.token, $chatId).catch(async (error) => {
await goto('/');
return null;
});
if (chat) {
tags = await getTags();
const chatContent = chat.chat;
if (chatContent) {
console.log(chatContent);
selectedModels =
(chatContent?.models ?? undefined) !== undefined
? chatContent.models
: [chatContent.models ?? ''];
history =
(chatContent?.history ?? undefined) !== undefined
? chatContent.history
: convertMessagesToHistory(chatContent.messages);
title = chatContent.title;
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const userSettings = await getUserSettings(localStorage.token);
if (userSettings) {
await settings.set(userSettings.ui);
} else {
await settings.set(JSON.parse(localStorage.getItem('settings') ?? '{}'));
}
await settings.set({
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...$settings,
system: chatContent.system ?? $settings.system,
params: chatContent.options ?? $settings.params
});
autoScroll = true;
await tick();
if (messages.length > 0) {
history.messages[messages.at(-1).id].done = true;
}
await tick();
return true;
} else {
return null;
}
}
};
const scrollToBottom = async () => {
await tick();
if (messagesContainerElement) {
messagesContainerElement.scrollTop = messagesContainerElement.scrollHeight;
}
};
const createMessagesList = (responseMessageId) => {
const message = history.messages[responseMessageId];
if (message.parentId) {
return [...createMessagesList(message.parentId), message];
} else {
return [message];
}
};
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const chatCompletedHandler = async (modelId, messages) => {
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await mermaid.run({
querySelector: '.mermaid'
});
const res = await chatCompleted(localStorage.token, {
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model: modelId,
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messages: messages.map((m) => ({
id: m.id,
role: m.role,
content: m.content,
timestamp: m.timestamp
})),
chat_id: $chatId
}).catch((error) => {
console.error(error);
return null;
});
if (res !== null) {
// Update chat history with the new messages
for (const message of res.messages) {
history.messages[message.id] = {
...history.messages[message.id],
...(history.messages[message.id].content !== message.content
? { originalContent: history.messages[message.id].content }
: {}),
...message
};
}
}
};
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const getChatEventEmitter = async (modelId: string, chatId: string = '') => {
return setInterval(() => {
$socket?.emit('usage', {
action: 'chat',
model: modelId,
chat_id: chatId
});
}, 1000);
};
//////////////////////////
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// Chat functions
//////////////////////////
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const submitPrompt = async (userPrompt, { _raw = false } = {}) => {
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let _responses = [];
console.log('submitPrompt', $chatId);
selectedModels = selectedModels.map((modelId) =>
$models.map((m) => m.id).includes(modelId) ? modelId : ''
);
if (selectedModels.includes('')) {
toast.error($i18n.t('Model not selected'));
} else if (messages.length != 0 && messages.at(-1).done != true) {
// Response not done
console.log('wait');
} else if (
files.length > 0 &&
files.filter((file) => file.upload_status === false).length > 0
) {
// Upload not done
toast.error(
$i18n.t(
`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.`
)
);
} else {
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// Reset chat input textarea
const chatTextAreaElement = document.getElementById('chat-textarea');
if (chatTextAreaElement) {
chatTextAreaElement.value = '';
chatTextAreaElement.style.height = '';
}
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const _files = JSON.parse(JSON.stringify(files));
files = [];
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prompt = '';
// Create user message
let userMessageId = uuidv4();
let userMessage = {
id: userMessageId,
parentId: messages.length !== 0 ? messages.at(-1).id : null,
childrenIds: [],
role: 'user',
content: userPrompt,
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files: _files.length > 0 ? _files : undefined,
timestamp: Math.floor(Date.now() / 1000), // Unix epoch
models: selectedModels.filter((m, mIdx) => selectedModels.indexOf(m) === mIdx)
};
// Add message to history and Set currentId to messageId
history.messages[userMessageId] = userMessage;
history.currentId = userMessageId;
// Append messageId to childrenIds of parent message
if (messages.length !== 0) {
history.messages[messages.at(-1).id].childrenIds.push(userMessageId);
}
// Wait until history/message have been updated
await tick();
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_responses = await sendPrompt(userPrompt, userMessageId, { newChat: true });
}
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return _responses;
};
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const sendPrompt = async (prompt, parentId, { modelId = null, newChat = false } = {}) => {
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let _responses = [];
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// If modelId is provided, use it, else use selected model
let selectedModelIds = modelId
? [modelId]
: atSelectedModel !== undefined
? [atSelectedModel.id]
: selectedModels;
// Create response messages for each selected model
const responseMessageIds = {};
for (const modelId of selectedModelIds) {
const model = $models.filter((m) => m.id === modelId).at(0);
if (model) {
let responseMessageId = uuidv4();
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model.id,
modelName: model.name ?? model.id,
userContext: null,
timestamp: Math.floor(Date.now() / 1000) // Unix epoch
};
// Add message to history and Set currentId to messageId
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
// Append messageId to childrenIds of parent message
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
responseMessageIds[modelId] = responseMessageId;
}
}
await tick();
// Create new chat if only one message in messages
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if (newChat && messages.length == 2) {
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if ($settings.saveChatHistory ?? true) {
chat = await createNewChat(localStorage.token, {
id: $chatId,
title: $i18n.t('New Chat'),
models: selectedModels,
system: $settings.system ?? undefined,
options: {
...($settings.params ?? {})
},
messages: messages,
history: history,
tags: [],
timestamp: Date.now()
});
await chats.set(await getChatList(localStorage.token));
await chatId.set(chat.id);
} else {
await chatId.set('local');
}
await tick();
}
const _chatId = JSON.parse(JSON.stringify($chatId));
await Promise.all(
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selectedModelIds.map(async (modelId) => {
console.log('modelId', modelId);
const model = $models.filter((m) => m.id === modelId).at(0);
if (model) {
// If there are image files, check if model is vision capable
const hasImages = messages.some((message) =>
message.files?.some((file) => file.type === 'image')
);
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if (hasImages && !(model.info?.meta?.capabilities?.vision ?? true)) {
toast.error(
$i18n.t('Model {{modelName}} is not vision capable', {
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modelName: model.name ?? model.id
})
);
}
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let responseMessageId = responseMessageIds[modelId];
let responseMessage = history.messages[responseMessageId];
let userContext = null;
if ($settings?.memory ?? false) {
if (userContext === null) {
const res = await queryMemory(localStorage.token, prompt).catch((error) => {
toast.error(error);
return null;
});
if (res) {
if (res.documents[0].length > 0) {
userContext = res.documents.reduce((acc, doc, index) => {
const createdAtTimestamp = res.metadatas[index][0].created_at;
const createdAtDate = new Date(createdAtTimestamp * 1000)
.toISOString()
.split('T')[0];
acc.push(`${index + 1}. [${createdAtDate}]. ${doc[0]}`);
return acc;
}, []);
}
console.log(userContext);
}
}
}
responseMessage.userContext = userContext;
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const chatEventEmitter = await getChatEventEmitter(model.id, _chatId);
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if (webSearchEnabled) {
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await getWebSearchResults(model.id, parentId, responseMessageId);
}
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let _response = null;
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if (model?.owned_by === 'openai') {
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_response = await sendPromptOpenAI(model, prompt, responseMessageId, _chatId);
} else if (model) {
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_response = await sendPromptOllama(model, prompt, responseMessageId, _chatId);
}
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_responses.push(_response);
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if (chatEventEmitter) clearInterval(chatEventEmitter);
} else {
toast.error($i18n.t(`Model {{modelId}} not found`, { modelId }));
}
})
);
await chats.set(await getChatList(localStorage.token));
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return _responses;
};
const sendPromptOllama = async (model, userPrompt, responseMessageId, _chatId) => {
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let _response = null;
const responseMessage = history.messages[responseMessageId];
// Wait until history/message have been updated
await tick();
// Scroll down
scrollToBottom();
const messagesBody = [
$settings.system || (responseMessage?.userContext ?? null)
? {
role: 'system',
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content: `${promptTemplate(
$settings?.system ?? '',
$user.name,
$settings?.userLocation
? await getAndUpdateUserLocation(localStorage.token)
: undefined
)}${
responseMessage?.userContext ?? null
? `\n\nUser Context:\n${(responseMessage?.userContext ?? []).join('\n')}`
: ''
}`
}
: undefined,
...messages
]
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.filter((message) => message?.content?.trim())
.map((message, idx, arr) => {
// Prepare the base message object
const baseMessage = {
role: message.role,
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content: message.content
};
// Extract and format image URLs if any exist
const imageUrls = message.files
?.filter((file) => file.type === 'image')
.map((file) => file.url.slice(file.url.indexOf(',') + 1));
// Add images array only if it contains elements
if (imageUrls && imageUrls.length > 0 && message.role === 'user') {
baseMessage.images = imageUrls;
}
return baseMessage;
});
let lastImageIndex = -1;
// Find the index of the last object with images
messagesBody.forEach((item, index) => {
if (item.images) {
lastImageIndex = index;
}
});
// Remove images from all but the last one
messagesBody.forEach((item, index) => {
if (index !== lastImageIndex) {
delete item.images;
}
});
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let docs = [];
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if (model?.info?.meta?.knowledge ?? false) {
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docs = model.info.meta.knowledge;
}
docs = [
...docs,
...messages
.filter((message) => message?.files ?? null)
.map((message) =>
message.files.filter((item) =>
['doc', 'collection', 'web_search_results'].includes(item.type)
)
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)
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.flat(1)
].filter(
(item, index, array) =>
array.findIndex((i) => JSON.stringify(i) === JSON.stringify(item)) === index
);
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eventTarget.dispatchEvent(
new CustomEvent('chat:start', {
detail: {
id: responseMessageId
}
})
);
await tick();
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const [res, controller] = await generateChatCompletion(localStorage.token, {
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model: model.id,
messages: messagesBody,
options: {
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...($settings.params ?? {}),
stop:
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$settings?.params?.stop ?? undefined
? $settings.params.stop.map((str) =>
decodeURIComponent(JSON.parse('"' + str.replace(/\"/g, '\\"') + '"'))
)
: undefined,
num_predict: $settings?.params?.max_tokens ?? undefined,
repeat_penalty: $settings?.params?.frequency_penalty ?? undefined
},
format: $settings.requestFormat ?? undefined,
keep_alive: $settings.keepAlive ?? undefined,
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tool_ids: selectedToolIds.length > 0 ? selectedToolIds : undefined,
docs: docs.length > 0 ? docs : undefined,
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citations: docs.length > 0,
chat_id: $chatId
});
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 !== $chatId) {
responseMessage.done = true;
messages = messages;
if (stopResponseFlag) {
controller.abort('User: Stop Response');
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} else {
const messages = createMessagesList(responseMessageId);
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await chatCompletedHandler(model.id, messages);
}
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_response = responseMessage.content;
break;
}
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
let data = JSON.parse(line);
if ('citations' in data) {
responseMessage.citations = data.citations;
continue;
}
if ('detail' in data) {
throw data;
}
if (data.done == false) {
if (responseMessage.content == '' && data.message.content == '\n') {
continue;
} else {
responseMessage.content += data.message.content;
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const sentences = extractSentencesForAudio(responseMessage.content);
sentences.pop();
// dispatch only last sentence and make sure it hasn't been dispatched before
if (
sentences.length > 0 &&
sentences[sentences.length - 1] !== responseMessage.lastSentence
) {
responseMessage.lastSentence = sentences[sentences.length - 1];
eventTarget.dispatchEvent(
new CustomEvent('chat', {
detail: { id: responseMessageId, content: sentences[sentences.length - 1] }
})
);
}
messages = messages;
}
} else {
responseMessage.done = true;
if (responseMessage.content == '') {
responseMessage.error = {
code: 400,
content: `Oops! No text generated from Ollama, Please try again.`
};
}
responseMessage.context = data.context ?? null;
responseMessage.info = {
total_duration: data.total_duration,
load_duration: data.load_duration,
sample_count: data.sample_count,
sample_duration: data.sample_duration,
prompt_eval_count: data.prompt_eval_count,
prompt_eval_duration: data.prompt_eval_duration,
eval_count: data.eval_count,
eval_duration: data.eval_duration
};
messages = messages;
if ($settings.notificationEnabled && !document.hasFocus()) {
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const notification = new Notification(`${model.id}`, {
body: responseMessage.content,
icon: `${WEBUI_BASE_URL}/static/favicon.png`
});
}
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if ($settings?.responseAutoCopy ?? false) {
copyToClipboard(responseMessage.content);
}
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if ($settings.responseAutoPlayback && !$showCallOverlay) {
await tick();
document.getElementById(`speak-button-${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,
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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);
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responseMessage.error = { content: error.detail };
} else {
toast.error(error.error);
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responseMessage.error = { content: error.error };
}
} else {
toast.error(
$i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, { provider: 'Ollama' })
);
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responseMessage.error = {
content: $i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, {
provider: 'Ollama'
})
};
}
responseMessage.done = true;
messages = messages;
}
stopResponseFlag = false;
await tick();
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let lastSentence = extractSentencesForAudio(responseMessage.content)?.at(-1) ?? '';
if (lastSentence) {
eventTarget.dispatchEvent(
new CustomEvent('chat', {
detail: { id: responseMessageId, content: lastSentence }
})
);
}
eventTarget.dispatchEvent(
new CustomEvent('chat:finish', {
detail: {
id: responseMessageId,
content: responseMessage.content
}
})
);
if (autoScroll) {
scrollToBottom();
}
if (messages.length == 2 && messages.at(1).content !== '') {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
const _title = await generateChatTitle(userPrompt);
await setChatTitle(_chatId, _title);
}
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return _response;
};
const sendPromptOpenAI = async (model, userPrompt, responseMessageId, _chatId) => {
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let _response = null;
const responseMessage = history.messages[responseMessageId];
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let docs = [];
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if (model?.info?.meta?.knowledge ?? false) {
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docs = model.info.meta.knowledge;
}
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docs = [
...docs,
...messages
.filter((message) => message?.files ?? null)
.map((message) =>
message.files.filter((item) =>
['doc', 'collection', 'web_search_results'].includes(item.type)
)
)
.flat(1)
].filter(
(item, index, array) =>
array.findIndex((i) => JSON.stringify(i) === JSON.stringify(item)) === index
);
scrollToBottom();
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eventTarget.dispatchEvent(
new CustomEvent('chat:start', {
detail: {
id: responseMessageId
}
})
);
await tick();
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try {
const [res, controller] = await generateOpenAIChatCompletion(
localStorage.token,
{
model: model.id,
stream: true,
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stream_options:
model.info?.meta?.capabilities?.usage ?? false
? {
include_usage: true
}
: undefined,
messages: [
$settings.system || (responseMessage?.userContext ?? null)
? {
role: 'system',
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content: `${promptTemplate(
$settings?.system ?? '',
$user.name,
$settings?.userLocation
? await getAndUpdateUserLocation(localStorage.token)
: undefined
)}${
responseMessage?.userContext ?? null
? `\n\nUser Context:\n${(responseMessage?.userContext ?? []).join('\n')}`
: ''
}`
}
: undefined,
...messages
]
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.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
})
})),
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seed: $settings?.params?.seed ?? undefined,
stop:
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$settings?.params?.stop ?? undefined
? $settings.params.stop.map((str) =>
decodeURIComponent(JSON.parse('"' + str.replace(/\"/g, '\\"') + '"'))
)
: undefined,
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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,
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tool_ids: selectedToolIds.length > 0 ? selectedToolIds : undefined,
docs: docs.length > 0 ? docs : undefined,
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citations: docs.length > 0,
chat_id: $chatId
},
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`${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);
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let lastUsage = null;
for await (const update of textStream) {
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const { value, done, citations, error, usage } = update;
if (error) {
await handleOpenAIError(error, null, model, responseMessage);
break;
}
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
if (stopResponseFlag) {
controller.abort('User: Stop Response');
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} else {
const messages = createMessagesList(responseMessageId);
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await chatCompletedHandler(model.id, messages);
}
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_response = responseMessage.content;
break;
}
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if (usage) {
lastUsage = usage;
}
if (citations) {
responseMessage.citations = citations;
continue;
}
if (responseMessage.content == '' && value == '\n') {
continue;
} else {
responseMessage.content += value;
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const sentences = extractSentencesForAudio(responseMessage.content);
sentences.pop();
// dispatch only last sentence and make sure it hasn't been dispatched before
if (
sentences.length > 0 &&
sentences[sentences.length - 1] !== responseMessage.lastSentence
) {
responseMessage.lastSentence = sentences[sentences.length - 1];
eventTarget.dispatchEvent(
new CustomEvent('chat', {
detail: { id: responseMessageId, content: sentences[sentences.length - 1] }
})
);
}
messages = messages;
}
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if (autoScroll) {
scrollToBottom();
}
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}
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if ($settings.notificationEnabled && !document.hasFocus()) {
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const notification = new Notification(`${model.id}`, {
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body: responseMessage.content,
icon: `${WEBUI_BASE_URL}/static/favicon.png`
});
}
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if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
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if ($settings.responseAutoPlayback && !$showCallOverlay) {
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await tick();
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document.getElementById(`speak-button-${responseMessage.id}`)?.click();
}
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if (lastUsage) {
responseMessage.info = { ...lastUsage, openai: true };
}
if ($chatId == _chatId) {
if ($settings.saveChatHistory ?? true) {
chat = await updateChatById(localStorage.token, _chatId, {
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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();
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let lastSentence = extractSentencesForAudio(responseMessage.content)?.at(-1) ?? '';
if (lastSentence) {
eventTarget.dispatchEvent(
new CustomEvent('chat', {
detail: { id: responseMessageId, content: lastSentence }
})
);
}
eventTarget.dispatchEvent(
new CustomEvent('chat:finish', {
detail: {
id: responseMessageId,
content: responseMessage.content
}
})
);
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if (autoScroll) {
scrollToBottom();
}
if (messages.length == 2) {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
const _title = await generateChatTitle(userPrompt);
await setChatTitle(_chatId, _title);
}
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return _response;
};
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;
}
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responseMessage.error = {
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content:
$i18n.t(`Uh-oh! There was an issue connecting to {{provider}}.`, {
provider: model.name ?? model.id
}) +
'\n' +
errorMessage
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};
responseMessage.done = true;
messages = messages;
};
const stopResponse = () => {
stopResponseFlag = true;
console.log('stopResponse');
};
const regenerateResponse = async (message) => {
console.log('regenerateResponse');
if (messages.length != 0) {
let userMessage = history.messages[message.parentId];
let userPrompt = userMessage.content;
if ((userMessage?.models ?? [...selectedModels]).length == 1) {
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// If user message has only one model selected, sendPrompt automatically selects it for regeneration
await sendPrompt(userPrompt, userMessage.id);
} else {
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// If there are multiple models selected, use the model of the response message for regeneration
// e.g. many model chat
await sendPrompt(userPrompt, userMessage.id, { modelId: message.model });
}
}
};
const continueGeneration = async () => {
console.log('continueGeneration');
const _chatId = JSON.parse(JSON.stringify($chatId));
if (messages.length != 0 && messages.at(-1).done == true) {
const responseMessage = history.messages[history.currentId];
responseMessage.done = false;
await tick();
const model = $models.filter((m) => m.id === responseMessage.model).at(0);
if (model) {
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if (model?.owned_by === 'openai') {
await sendPromptOpenAI(
model,
history.messages[responseMessage.parentId].content,
responseMessage.id,
_chatId
);
} else
await sendPromptOllama(
model,
history.messages[responseMessage.parentId].content,
responseMessage.id,
_chatId
);
}
} else {
toast.error($i18n.t(`Model {{modelId}} not found`, { modelId }));
}
};
const generateChatTitle = async (userPrompt) => {
if ($settings?.title?.auto ?? true) {
const title = await generateTitle(
localStorage.token,
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selectedModels[0],
userPrompt,
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$chatId
).catch((error) => {
console.error(error);
return 'New Chat';
});
return title;
} else {
return `${userPrompt}`;
}
};
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));
}
};
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const getWebSearchResults = async (model: string, parentId: string, responseId: string) => {
const responseMessage = history.messages[responseId];
responseMessage.statusHistory = [
{
done: false,
action: 'web_search',
description: $i18n.t('Generating search query')
}
];
messages = messages;
const prompt = history.messages[parentId].content;
let searchQuery = await generateSearchQuery(localStorage.token, model, messages, prompt).catch(
(error) => {
console.log(error);
return prompt;
}
);
if (!searchQuery) {
toast.warning($i18n.t('No search query generated'));
responseMessage.statusHistory.push({
done: true,
error: true,
action: 'web_search',
description: 'No search query generated'
});
messages = messages;
}
responseMessage.statusHistory.push({
done: false,
action: 'web_search',
description: $i18n.t(`Searching "{{searchQuery}}"`, { searchQuery })
});
messages = messages;
const results = await runWebSearch(localStorage.token, searchQuery).catch((error) => {
console.log(error);
toast.error(error);
return null;
});
if (results) {
responseMessage.statusHistory.push({
done: true,
action: 'web_search',
description: $i18n.t('Searched {{count}} sites', { count: results.filenames.length }),
query: searchQuery,
urls: results.filenames
});
if (responseMessage?.files ?? undefined === undefined) {
responseMessage.files = [];
}
responseMessage.files.push({
collection_name: results.collection_name,
name: searchQuery,
type: 'web_search_results',
urls: results.filenames
});
messages = messages;
} else {
responseMessage.statusHistory.push({
done: true,
error: true,
action: 'web_search',
description: 'No search results found'
});
messages = messages;
}
};
const getTags = async () => {
return await getTagsById(localStorage.token, $chatId).catch(async (error) => {
return [];
});
};
</script>
<svelte:head>
<title>
{title
? `${title.length > 30 ? `${title.slice(0, 30)}...` : title} | ${$WEBUI_NAME}`
: `${$WEBUI_NAME}`}
</title>
</svelte:head>
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<audio id="audioElement" src="" style="display: none;" />
{#if $showCallOverlay}
<CallOverlay
{submitPrompt}
{stopResponse}
bind:files
modelId={selectedModelIds?.at(0) ?? null}
chatId={$chatId}
{eventTarget}
/>
{/if}
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{#if !chatIdProp || (loaded && chatIdProp)}
<div
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class="h-screen max-h-[100dvh] {$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}
/>
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{#if $banners.length > 0 && messages.length === 0 && !$chatId && selectedModels.length <= 1}
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<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>
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<MessageInput
bind:files
bind:prompt
bind:autoScroll
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bind:selectedToolIds
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bind:webSearchEnabled
bind:atSelectedModel
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availableToolIds={selectedModelIds.reduce((a, e, i, arr) => {
const model = $models.find((m) => m.id === e);
if (model?.info?.meta?.toolIds ?? false) {
return [...new Set([...a, ...model.info.meta.toolIds])];
}
return a;
}, [])}
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{selectedModels}
{messages}
{submitPrompt}
{stopResponse}
/>
</div>
</div>
{/if}