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Author SHA1 Message Date
b5ee8386e7 Merge pull request #714 from ItzCrazyKns/master
Merge master into feat/deep-research
2025-04-01 14:16:45 +05:30
0fcd598ff7 feat(metaSearchAgent): eliminate runnables 2025-03-24 17:27:54 +05:30
39 changed files with 335 additions and 1354 deletions

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@ -159,7 +159,6 @@ Perplexica runs on Next.js and handles all API requests. It works right away on
[![Deploy to Sealos](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://usw.sealos.io/?openapp=system-template%3FtemplateName%3Dperplexica)
[![Deploy to RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploylobe.svg)](https://repocloud.io/details/?app_id=267)
[![Run on ClawCloud](https://raw.githubusercontent.com/ClawCloud/Run-Template/refs/heads/main/Run-on-ClawCloud.svg)](https://template.run.claw.cloud/?referralCode=U11MRQ8U9RM4&openapp=system-fastdeploy%3FtemplateName%3Dperplexica)
## Upcoming Features

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@ -12,9 +12,6 @@ COPY public ./public
RUN mkdir -p /home/perplexica/data
RUN yarn build
RUN yarn add --dev @vercel/ncc
RUN yarn ncc build ./src/lib/db/migrate.ts -o migrator
FROM node:20.18.0-slim
WORKDIR /home/perplexica
@ -24,12 +21,7 @@ COPY --from=builder /home/perplexica/.next/static ./public/_next/static
COPY --from=builder /home/perplexica/.next/standalone ./
COPY --from=builder /home/perplexica/data ./data
COPY drizzle ./drizzle
COPY --from=builder /home/perplexica/migrator/build ./build
COPY --from=builder /home/perplexica/migrator/index.js ./migrate.js
RUN mkdir /home/perplexica/uploads
COPY entrypoint.sh ./entrypoint.sh
RUN chmod +x ./entrypoint.sh
CMD ["./entrypoint.sh"]
CMD ["node", "server.js"]

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@ -16,7 +16,6 @@ services:
dockerfile: app.dockerfile
environment:
- SEARXNG_API_URL=http://searxng:8080
- DATA_DIR=/home/perplexica
ports:
- 3000:3000
networks:

View File

@ -33,7 +33,6 @@ The API accepts a JSON object in the request body, where you define the focus mo
["human", "Hi, how are you?"],
["assistant", "I am doing well, how can I help you today?"]
],
"systemInstructions": "Focus on providing technical details about Perplexica's architecture.",
"stream": false
}
```
@ -64,8 +63,6 @@ The API accepts a JSON object in the request body, where you define the focus mo
- **`query`** (string, required): The search query or question.
- **`systemInstructions`** (string, optional): Custom instructions provided by the user to guide the AI's response. These instructions are treated as user preferences and have lower priority than the system's core instructions. For example, you can specify a particular writing style, format, or focus area.
- **`history`** (array, optional): An array of message pairs representing the conversation history. Each pair consists of a role (either 'human' or 'assistant') and the message content. This allows the system to use the context of the conversation to refine results. Example:
```json

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@ -1,11 +1,10 @@
import { defineConfig } from 'drizzle-kit';
import path from 'path';
export default defineConfig({
dialect: 'sqlite',
schema: './src/lib/db/schema.ts',
out: './drizzle',
dbCredentials: {
url: path.join(process.cwd(), 'data', 'db.sqlite'),
url: './data/db.sqlite',
},
});

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@ -1,16 +0,0 @@
CREATE TABLE IF NOT EXISTS `chats` (
`id` text PRIMARY KEY NOT NULL,
`title` text NOT NULL,
`createdAt` text NOT NULL,
`focusMode` text NOT NULL,
`files` text DEFAULT '[]'
);
--> statement-breakpoint
CREATE TABLE IF NOT EXISTS `messages` (
`id` integer PRIMARY KEY NOT NULL,
`content` text NOT NULL,
`chatId` text NOT NULL,
`messageId` text NOT NULL,
`type` text,
`metadata` text
);

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@ -1,116 +0,0 @@
{
"version": "6",
"dialect": "sqlite",
"id": "ef3a044b-0f34-40b5-babb-2bb3a909ba27",
"prevId": "00000000-0000-0000-0000-000000000000",
"tables": {
"chats": {
"name": "chats",
"columns": {
"id": {
"name": "id",
"type": "text",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"title": {
"name": "title",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"createdAt": {
"name": "createdAt",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"focusMode": {
"name": "focusMode",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"files": {
"name": "files",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false,
"default": "'[]'"
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"messages": {
"name": "messages",
"columns": {
"id": {
"name": "id",
"type": "integer",
"primaryKey": true,
"notNull": true,
"autoincrement": false
},
"content": {
"name": "content",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"chatId": {
"name": "chatId",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"messageId": {
"name": "messageId",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"type": {
"name": "type",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
},
"metadata": {
"name": "metadata",
"type": "text",
"primaryKey": false,
"notNull": false,
"autoincrement": false
}
},
"indexes": {},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
}
},
"views": {},
"enums": {},
"_meta": {
"schemas": {},
"tables": {},
"columns": {}
},
"internal": {
"indexes": {}
}
}

View File

@ -1,13 +0,0 @@
{
"version": "7",
"dialect": "sqlite",
"entries": [
{
"idx": 0,
"version": "6",
"when": 1748405503809,
"tag": "0000_fuzzy_randall",
"breakpoints": true
}
]
}

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@ -1,6 +0,0 @@
#!/bin/sh
set -e
node migrate.js
exec node server.js

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@ -1,6 +1,6 @@
{
"name": "perplexica-frontend",
"version": "1.10.2",
"version": "1.10.1",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {
@ -30,10 +30,8 @@
"compute-dot": "^1.1.0",
"drizzle-orm": "^0.40.1",
"html-to-text": "^9.0.5",
"jspdf": "^3.0.1",
"langchain": "^0.1.30",
"lucide-react": "^0.363.0",
"mammoth": "^1.9.1",
"markdown-to-jsx": "^7.7.2",
"next": "^15.2.2",
"next-themes": "^0.3.0",
@ -51,7 +49,6 @@
"devDependencies": {
"@types/better-sqlite3": "^7.6.12",
"@types/html-to-text": "^9.0.4",
"@types/jspdf": "^2.0.0",
"@types/node": "^20",
"@types/pdf-parse": "^1.1.4",
"@types/react": "^18",

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@ -22,11 +22,5 @@ MODEL_NAME = ""
[MODELS.OLLAMA]
API_URL = "" # Ollama API URL - http://host.docker.internal:11434
[MODELS.DEEPSEEK]
API_KEY = ""
[MODELS.LM_STUDIO]
API_URL = "" # LM Studio API URL - http://host.docker.internal:1234
[API_ENDPOINTS]
SEARXNG = "" # SearxNG API URL - http://localhost:32768
SEARXNG = "" # SearxNG API URL - http://localhost:32768

View File

@ -49,7 +49,6 @@ type Body = {
files: Array<string>;
chatModel: ChatModel;
embeddingModel: EmbeddingModel;
systemInstructions: string;
};
const handleEmitterEvents = async (
@ -279,7 +278,6 @@ export const POST = async (req: Request) => {
embedding,
body.optimizationMode,
body.files,
body.systemInstructions,
);
const responseStream = new TransformStream();

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@ -7,8 +7,6 @@ import {
getGroqApiKey,
getOllamaApiEndpoint,
getOpenaiApiKey,
getDeepseekApiKey,
getLMStudioApiEndpoint,
updateConfig,
} from '@/lib/config';
import {
@ -52,11 +50,9 @@ export const GET = async (req: Request) => {
config['openaiApiKey'] = getOpenaiApiKey();
config['ollamaApiUrl'] = getOllamaApiEndpoint();
config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
config['anthropicApiKey'] = getAnthropicApiKey();
config['groqApiKey'] = getGroqApiKey();
config['geminiApiKey'] = getGeminiApiKey();
config['deepseekApiKey'] = getDeepseekApiKey();
config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
config['customOpenaiModelName'] = getCustomOpenaiModelName();
@ -92,12 +88,6 @@ export const POST = async (req: Request) => {
OLLAMA: {
API_URL: config.ollamaApiUrl,
},
DEEPSEEK: {
API_KEY: config.deepseekApiKey,
},
LM_STUDIO: {
API_URL: config.lmStudioApiUrl,
},
CUSTOM_OPENAI: {
API_URL: config.customOpenaiApiUrl,
API_KEY: config.customOpenaiApiKey,

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@ -34,7 +34,6 @@ interface ChatRequestBody {
query: string;
history: Array<[string, string]>;
stream?: boolean;
systemInstructions?: string;
}
export const POST = async (req: Request) => {
@ -126,7 +125,6 @@ export const POST = async (req: Request) => {
embeddings,
body.optimizationMode,
[],
body.systemInstructions || '',
);
if (!body.stream) {

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@ -7,7 +7,6 @@ import { Switch } from '@headlessui/react';
import ThemeSwitcher from '@/components/theme/Switcher';
import { ImagesIcon, VideoIcon } from 'lucide-react';
import Link from 'next/link';
import { PROVIDER_METADATA } from '@/lib/providers';
interface SettingsType {
chatModelProviders: {
@ -21,8 +20,6 @@ interface SettingsType {
anthropicApiKey: string;
geminiApiKey: string;
ollamaApiUrl: string;
lmStudioApiUrl: string;
deepseekApiKey: string;
customOpenaiApiKey: string;
customOpenaiApiUrl: string;
customOpenaiModelName: string;
@ -57,38 +54,6 @@ const Input = ({ className, isSaving, onSave, ...restProps }: InputProps) => {
);
};
interface TextareaProps extends React.InputHTMLAttributes<HTMLTextAreaElement> {
isSaving?: boolean;
onSave?: (value: string) => void;
}
const Textarea = ({
className,
isSaving,
onSave,
...restProps
}: TextareaProps) => {
return (
<div className="relative">
<textarea
placeholder="Any special instructions for the LLM"
className="placeholder:text-sm text-sm w-full flex items-center justify-between p-3 bg-light-secondary dark:bg-dark-secondary rounded-lg hover:bg-light-200 dark:hover:bg-dark-200 transition-colors"
rows={4}
onBlur={(e) => onSave?.(e.target.value)}
{...restProps}
/>
{isSaving && (
<div className="absolute right-3 top-3">
<Loader2
size={16}
className="animate-spin text-black/70 dark:text-white/70"
/>
</div>
)}
</div>
);
};
const Select = ({
className,
options,
@ -143,14 +108,14 @@ const Page = () => {
const [selectedEmbeddingModel, setSelectedEmbeddingModel] = useState<
string | null
>(null);
const [isLoading, setIsLoading] = useState(true);
const [isLoading, setIsLoading] = useState(false);
const [automaticImageSearch, setAutomaticImageSearch] = useState(false);
const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
const [systemInstructions, setSystemInstructions] = useState<string>('');
const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});
useEffect(() => {
const fetchConfig = async () => {
setIsLoading(true);
const res = await fetch(`/api/config`, {
headers: {
'Content-Type': 'application/json',
@ -207,8 +172,6 @@ const Page = () => {
localStorage.getItem('autoVideoSearch') === 'true',
);
setSystemInstructions(localStorage.getItem('systemInstructions')!);
setIsLoading(false);
};
@ -365,8 +328,6 @@ const Page = () => {
localStorage.setItem('embeddingModelProvider', value);
} else if (key === 'embeddingModel') {
localStorage.setItem('embeddingModel', value);
} else if (key === 'systemInstructions') {
localStorage.setItem('systemInstructions', value);
}
} catch (err) {
console.error('Failed to save:', err);
@ -512,19 +473,6 @@ const Page = () => {
</div>
</SettingsSection>
<SettingsSection title="System Instructions">
<div className="flex flex-col space-y-4">
<Textarea
value={systemInstructions}
isSaving={savingStates['systemInstructions']}
onChange={(e) => {
setSystemInstructions(e.target.value);
}}
onSave={(value) => saveConfig('systemInstructions', value)}
/>
</div>
</SettingsSection>
<SettingsSection title="Model Settings">
{config.chatModelProviders && (
<div className="flex flex-col space-y-4">
@ -549,9 +497,8 @@ const Page = () => {
(provider) => ({
value: provider,
label:
(PROVIDER_METADATA as any)[provider]?.displayName ||
provider.charAt(0).toUpperCase() +
provider.slice(1),
provider.slice(1),
}),
)}
/>
@ -692,9 +639,8 @@ const Page = () => {
(provider) => ({
value: provider,
label:
(PROVIDER_METADATA as any)[provider]?.displayName ||
provider.charAt(0).toUpperCase() +
provider.slice(1),
provider.slice(1),
}),
)}
/>
@ -842,44 +788,6 @@ const Page = () => {
onSave={(value) => saveConfig('geminiApiKey', value)}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
Deepseek API Key
</p>
<Input
type="text"
placeholder="Deepseek API Key"
value={config.deepseekApiKey}
isSaving={savingStates['deepseekApiKey']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
deepseekApiKey: e.target.value,
}));
}}
onSave={(value) => saveConfig('deepseekApiKey', value)}
/>
</div>
<div className="flex flex-col space-y-1">
<p className="text-black/70 dark:text-white/70 text-sm">
LM Studio API URL
</p>
<Input
type="text"
placeholder="LM Studio API URL"
value={config.lmStudioApiUrl}
isSaving={savingStates['lmStudioApiUrl']}
onChange={(e) => {
setConfig((prev) => ({
...prev!,
lmStudioApiUrl: e.target.value,
}));
}}
onSave={(value) => saveConfig('lmStudioApiUrl', value)}
/>
</div>
</div>
</SettingsSection>
</div>

View File

@ -480,7 +480,6 @@ const ChatWindow = ({ id }: { id?: string }) => {
name: embeddingModelProvider.name,
provider: embeddingModelProvider.provider,
},
systemInstructions: localStorage.getItem('systemInstructions'),
}),
});

View File

@ -48,7 +48,6 @@ const MessageBox = ({
const [speechMessage, setSpeechMessage] = useState(message.content);
useEffect(() => {
const citationRegex = /\[([^\]]+)\]/g;
const regex = /\[(\d+)\]/g;
let processedMessage = message.content;
@ -68,36 +67,13 @@ const MessageBox = ({
) {
setParsedMessage(
processedMessage.replace(
citationRegex,
(_, capturedContent: string) => {
const numbers = capturedContent
.split(',')
.map((numStr) => numStr.trim());
const linksHtml = numbers
.map((numStr) => {
const number = parseInt(numStr);
if (isNaN(number) || number <= 0) {
return `[${numStr}]`;
}
const source = message.sources?.[number - 1];
const url = source?.metadata?.url;
if (url) {
return `<a href="${url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${numStr}</a>`;
} else {
return `[${numStr}]`;
}
})
.join('');
return linksHtml;
},
regex,
(_, number) =>
`<a href="${
message.sources?.[number - 1]?.metadata?.url
}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
),
);
setSpeechMessage(message.content.replace(regex, ''));
return;
}

View File

@ -1,122 +1,8 @@
import { Clock, Edit, Share, Trash, FileText, FileDown } from 'lucide-react';
import { Clock, Edit, Share, Trash } from 'lucide-react';
import { Message } from './ChatWindow';
import { useEffect, useState, Fragment } from 'react';
import { useEffect, useState } from 'react';
import { formatTimeDifference } from '@/lib/utils';
import DeleteChat from './DeleteChat';
import {
Popover,
PopoverButton,
PopoverPanel,
Transition,
} from '@headlessui/react';
import jsPDF from 'jspdf';
const downloadFile = (filename: string, content: string, type: string) => {
const blob = new Blob([content], { type });
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = filename;
document.body.appendChild(a);
a.click();
setTimeout(() => {
document.body.removeChild(a);
URL.revokeObjectURL(url);
}, 0);
};
const exportAsMarkdown = (messages: Message[], title: string) => {
const date = new Date(messages[0]?.createdAt || Date.now()).toLocaleString();
let md = `# 💬 Chat Export: ${title}\n\n`;
md += `*Exported on: ${date}*\n\n---\n`;
messages.forEach((msg, idx) => {
md += `\n---\n`;
md += `**${msg.role === 'user' ? '🧑 User' : '🤖 Assistant'}**
`;
md += `*${new Date(msg.createdAt).toLocaleString()}*\n\n`;
md += `> ${msg.content.replace(/\n/g, '\n> ')}\n`;
if (msg.sources && msg.sources.length > 0) {
md += `\n**Citations:**\n`;
msg.sources.forEach((src: any, i: number) => {
const url = src.metadata?.url || '';
md += `- [${i + 1}] [${url}](${url})\n`;
});
}
});
md += '\n---\n';
downloadFile(`${title || 'chat'}.md`, md, 'text/markdown');
};
const exportAsPDF = (messages: Message[], title: string) => {
const doc = new jsPDF();
const date = new Date(messages[0]?.createdAt || Date.now()).toLocaleString();
let y = 15;
const pageHeight = doc.internal.pageSize.height;
doc.setFontSize(18);
doc.text(`Chat Export: ${title}`, 10, y);
y += 8;
doc.setFontSize(11);
doc.setTextColor(100);
doc.text(`Exported on: ${date}`, 10, y);
y += 8;
doc.setDrawColor(200);
doc.line(10, y, 200, y);
y += 6;
doc.setTextColor(30);
messages.forEach((msg, idx) => {
if (y > pageHeight - 30) {
doc.addPage();
y = 15;
}
doc.setFont('helvetica', 'bold');
doc.text(`${msg.role === 'user' ? 'User' : 'Assistant'}`, 10, y);
doc.setFont('helvetica', 'normal');
doc.setFontSize(10);
doc.setTextColor(120);
doc.text(`${new Date(msg.createdAt).toLocaleString()}`, 40, y);
y += 6;
doc.setTextColor(30);
doc.setFontSize(12);
const lines = doc.splitTextToSize(msg.content, 180);
for (let i = 0; i < lines.length; i++) {
if (y > pageHeight - 20) {
doc.addPage();
y = 15;
}
doc.text(lines[i], 12, y);
y += 6;
}
if (msg.sources && msg.sources.length > 0) {
doc.setFontSize(11);
doc.setTextColor(80);
if (y > pageHeight - 20) {
doc.addPage();
y = 15;
}
doc.text('Citations:', 12, y);
y += 5;
msg.sources.forEach((src: any, i: number) => {
const url = src.metadata?.url || '';
if (y > pageHeight - 15) {
doc.addPage();
y = 15;
}
doc.text(`- [${i + 1}] ${url}`, 15, y);
y += 5;
});
doc.setTextColor(30);
}
y += 6;
doc.setDrawColor(230);
if (y > pageHeight - 10) {
doc.addPage();
y = 15;
}
doc.line(10, y, 200, y);
y += 4;
});
doc.save(`${title || 'chat'}.pdf`);
};
const Navbar = ({
chatId,
@ -173,39 +59,10 @@ const Navbar = ({
<p className="hidden lg:flex">{title}</p>
<div className="flex flex-row items-center space-x-4">
<Popover className="relative">
<PopoverButton className="active:scale-95 transition duration-100 cursor-pointer p-2 rounded-full hover:bg-light-secondary dark:hover:bg-dark-secondary">
<Share size={17} />
</PopoverButton>
<Transition
as={Fragment}
enter="transition ease-out duration-100"
enterFrom="opacity-0 translate-y-1"
enterTo="opacity-100 translate-y-0"
leave="transition ease-in duration-75"
leaveFrom="opacity-100 translate-y-0"
leaveTo="opacity-0 translate-y-1"
>
<PopoverPanel className="absolute right-0 mt-2 w-64 rounded-xl shadow-xl bg-light-primary dark:bg-dark-primary border border-light-200 dark:border-dark-200 z-50">
<div className="flex flex-col py-3 px-3 gap-2">
<button
className="flex items-center gap-2 px-4 py-2 text-left hover:bg-light-secondary dark:hover:bg-dark-secondary transition-colors text-black dark:text-white rounded-lg font-medium"
onClick={() => exportAsMarkdown(messages, title || '')}
>
<FileText size={17} className="text-[#24A0ED]" />
Export as Markdown
</button>
<button
className="flex items-center gap-2 px-4 py-2 text-left hover:bg-light-secondary dark:hover:bg-dark-secondary transition-colors text-black dark:text-white rounded-lg font-medium"
onClick={() => exportAsPDF(messages, title || '')}
>
<FileDown size={17} className="text-[#24A0ED]" />
Export as PDF
</button>
</div>
</PopoverPanel>
</Transition>
</Popover>
<Share
size={17}
className="active:scale-95 transition duration-100 cursor-pointer"
/>
<DeleteChat redirect chatId={chatId} chats={[]} setChats={() => {}} />
</div>
</div>

View File

@ -1,14 +1,7 @@
import fs from 'fs';
import path from 'path';
import toml from '@iarna/toml';
// Use dynamic imports for Node.js modules to prevent client-side errors
let fs: any;
let path: any;
if (typeof window === 'undefined') {
// We're on the server
fs = require('fs');
path = require('path');
}
const configFileName = 'config.toml';
interface Config {
@ -32,12 +25,6 @@ interface Config {
OLLAMA: {
API_URL: string;
};
DEEPSEEK: {
API_KEY: string;
};
LM_STUDIO: {
API_URL: string;
};
CUSTOM_OPENAI: {
API_URL: string;
API_KEY: string;
@ -53,17 +40,10 @@ type RecursivePartial<T> = {
[P in keyof T]?: RecursivePartial<T[P]>;
};
const loadConfig = () => {
// Server-side only
if (typeof window === 'undefined') {
return toml.parse(
fs.readFileSync(path.join(process.cwd(), `${configFileName}`), 'utf-8'),
) as any as Config;
}
// Client-side fallback - settings will be loaded via API
return {} as Config;
};
const loadConfig = () =>
toml.parse(
fs.readFileSync(path.join(process.cwd(), `${configFileName}`), 'utf-8'),
) as any as Config;
export const getSimilarityMeasure = () =>
loadConfig().GENERAL.SIMILARITY_MEASURE;
@ -83,8 +63,6 @@ export const getSearxngApiEndpoint = () =>
export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
export const getDeepseekApiKey = () => loadConfig().MODELS.DEEPSEEK.API_KEY;
export const getCustomOpenaiApiKey = () =>
loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
@ -94,9 +72,6 @@ export const getCustomOpenaiApiUrl = () =>
export const getCustomOpenaiModelName = () =>
loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
export const getLMStudioApiEndpoint = () =>
loadConfig().MODELS.LM_STUDIO.API_URL;
const mergeConfigs = (current: any, update: any): any => {
if (update === null || update === undefined) {
return current;
@ -129,13 +104,10 @@ const mergeConfigs = (current: any, update: any): any => {
};
export const updateConfig = (config: RecursivePartial<Config>) => {
// Server-side only
if (typeof window === 'undefined') {
const currentConfig = loadConfig();
const mergedConfig = mergeConfigs(currentConfig, config);
fs.writeFileSync(
path.join(path.join(process.cwd(), `${configFileName}`)),
toml.stringify(mergedConfig),
);
}
const currentConfig = loadConfig();
const mergedConfig = mergeConfigs(currentConfig, config);
fs.writeFileSync(
path.join(path.join(process.cwd(), `${configFileName}`)),
toml.stringify(mergedConfig),
);
};

View File

@ -3,8 +3,7 @@ import Database from 'better-sqlite3';
import * as schema from './schema';
import path from 'path';
const DATA_DIR = process.env.DATA_DIR || process.cwd();
const sqlite = new Database(path.join(DATA_DIR, './data/db.sqlite'));
const sqlite = new Database(path.join(process.cwd(), 'data/db.sqlite'));
const db = drizzle(sqlite, {
schema: schema,
});

View File

@ -1,5 +0,0 @@
import db from './';
import { migrate } from 'drizzle-orm/better-sqlite3/migrator';
import path from 'path';
migrate(db, { migrationsFolder: path.join(process.cwd(), 'drizzle') });

View File

@ -51,10 +51,6 @@ export const academicSearchResponsePrompt = `
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
### User instructions
These instructions are shared to you by the user and not by the system. You will have to follow them but give them less priority than the above instructions. If the user has provided specific instructions or preferences, incorporate them into your response while adhering to the overall guidelines.
{systemInstructions}
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@ -51,10 +51,6 @@ export const redditSearchResponsePrompt = `
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
### User instructions
These instructions are shared to you by the user and not by the system. You will have to follow them but give them less priority than the above instructions. If the user has provided specific instructions or preferences, incorporate them into your response while adhering to the overall guidelines.
{systemInstructions}
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@ -1,6 +1,6 @@
export const webSearchRetrieverPrompt = `
You are an AI question rephraser. You will be given a conversation and a follow-up question, you will have to rephrase the follow up question so it is a standalone question and can be used by another LLM to search the web for information to answer it.
If it is a simple writing task or a greeting (unless the greeting contains a question after it) like Hi, Hello, How are you, etc. than a question then you need to return \`not_needed\` as the response (This is because the LLM won't need to search the web for finding information on this topic).
If it is a smple writing task or a greeting (unless the greeting contains a question after it) like Hi, Hello, How are you, etc. than a question then you need to return \`not_needed\` as the response (This is because the LLM won't need to search the web for finding information on this topic).
If the user asks some question from some URL or wants you to summarize a PDF or a webpage (via URL) you need to return the links inside the \`links\` XML block and the question inside the \`question\` XML block. If the user wants to you to summarize the webpage or the PDF you need to return \`summarize\` inside the \`question\` XML block in place of a question and the link to summarize in the \`links\` XML block.
You must always return the rephrased question inside the \`question\` XML block, if there are no links in the follow-up question then don't insert a \`links\` XML block in your response.
@ -92,10 +92,6 @@ export const webSearchResponsePrompt = `
- If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
### User instructions
These instructions are shared to you by the user and not by the system. You will have to follow them but give them less priority than the above instructions. If the user has provided specific instructions or preferences, incorporate them into your response while adhering to the overall guidelines.
{systemInstructions}
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@ -51,10 +51,6 @@ export const wolframAlphaSearchResponsePrompt = `
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.
### User instructions
These instructions are shared to you by the user and not by the system. You will have to follow them but give them less priority than the above instructions. If the user has provided specific instructions or preferences, incorporate them into your response while adhering to the overall guidelines.
{systemInstructions}
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@ -7,10 +7,6 @@ You have to cite the answer using [number] notation. You must cite the sentences
Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
### User instructions
These instructions are shared to you by the user and not by the system. You will have to follow them but give them less priority than the above instructions. If the user has provided specific instructions or preferences, incorporate them into your response while adhering to the overall guidelines.
{systemInstructions}
<context>
{context}
</context>

View File

@ -51,10 +51,6 @@ export const youtubeSearchResponsePrompt = `
- If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
- You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcrip
### User instructions
These instructions are shared to you by the user and not by the system. You will have to follow them but give them less priority than the above instructions. If the user has provided specific instructions or preferences, incorporate them into your response while adhering to the overall guidelines.
{systemInstructions}
### Example Output
- Begin with a brief introduction summarizing the event or query topic.
- Follow with detailed sections under clear headings, covering all aspects of the query if possible.

View File

@ -1,11 +1,6 @@
import { ChatAnthropic } from '@langchain/anthropic';
import { ChatModel } from '.';
import { getAnthropicApiKey } from '../config';
export const PROVIDER_INFO = {
key: 'anthropic',
displayName: 'Anthropic',
};
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
const anthropicChatModels: Record<string, string>[] = [

View File

@ -1,49 +0,0 @@
import { ChatOpenAI } from '@langchain/openai';
import { getDeepseekApiKey } from '../config';
import { ChatModel } from '.';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
export const PROVIDER_INFO = {
key: 'deepseek',
displayName: 'Deepseek AI',
};
const deepseekChatModels: Record<string, string>[] = [
{
displayName: 'Deepseek Chat (Deepseek V3)',
key: 'deepseek-chat',
},
{
displayName: 'Deepseek Reasoner (Deepseek R1)',
key: 'deepseek-reasoner',
},
];
export const loadDeepseekChatModels = async () => {
const deepseekApiKey = getDeepseekApiKey();
if (!deepseekApiKey) return {};
try {
const chatModels: Record<string, ChatModel> = {};
deepseekChatModels.forEach((model) => {
chatModels[model.key] = {
displayName: model.displayName,
model: new ChatOpenAI({
openAIApiKey: deepseekApiKey,
modelName: model.key,
temperature: 0.7,
configuration: {
baseURL: 'https://api.deepseek.com',
},
}) as unknown as BaseChatModel,
};
});
return chatModels;
} catch (err) {
console.error(`Error loading Deepseek models: ${err}`);
return {};
}
};

View File

@ -4,11 +4,6 @@ import {
} from '@langchain/google-genai';
import { getGeminiApiKey } from '../config';
import { ChatModel, EmbeddingModel } from '.';
export const PROVIDER_INFO = {
key: 'gemini',
displayName: 'Google Gemini',
};
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';
@ -45,12 +40,8 @@ const geminiChatModels: Record<string, string>[] = [
const geminiEmbeddingModels: Record<string, string>[] = [
{
displayName: 'Text Embedding 004',
key: 'models/text-embedding-004',
},
{
displayName: 'Embedding 001',
key: 'models/embedding-001',
displayName: 'Gemini Embedding',
key: 'gemini-embedding-exp',
},
];

View File

@ -1,36 +1,93 @@
import { ChatOpenAI } from '@langchain/openai';
import { getGroqApiKey } from '../config';
import { ChatModel } from '.';
export const PROVIDER_INFO = {
key: 'groq',
displayName: 'Groq',
};
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
const groqChatModels: Record<string, string>[] = [
{
displayName: 'Gemma2 9B IT',
key: 'gemma2-9b-it',
},
{
displayName: 'Llama 3.3 70B Versatile',
key: 'llama-3.3-70b-versatile',
},
{
displayName: 'Llama 3.1 8B Instant',
key: 'llama-3.1-8b-instant',
},
{
displayName: 'Llama3 70B 8192',
key: 'llama3-70b-8192',
},
{
displayName: 'Llama3 8B 8192',
key: 'llama3-8b-8192',
},
{
displayName: 'Mixtral 8x7B 32768',
key: 'mixtral-8x7b-32768',
},
{
displayName: 'Qwen QWQ 32B (Preview)',
key: 'qwen-qwq-32b',
},
{
displayName: 'Mistral Saba 24B (Preview)',
key: 'mistral-saba-24b',
},
{
displayName: 'Qwen 2.5 Coder 32B (Preview)',
key: 'qwen-2.5-coder-32b',
},
{
displayName: 'Qwen 2.5 32B (Preview)',
key: 'qwen-2.5-32b',
},
{
displayName: 'DeepSeek R1 Distill Qwen 32B (Preview)',
key: 'deepseek-r1-distill-qwen-32b',
},
{
displayName: 'DeepSeek R1 Distill Llama 70B (Preview)',
key: 'deepseek-r1-distill-llama-70b',
},
{
displayName: 'Llama 3.3 70B SpecDec (Preview)',
key: 'llama-3.3-70b-specdec',
},
{
displayName: 'Llama 3.2 1B Preview (Preview)',
key: 'llama-3.2-1b-preview',
},
{
displayName: 'Llama 3.2 3B Preview (Preview)',
key: 'llama-3.2-3b-preview',
},
{
displayName: 'Llama 3.2 11B Vision Preview (Preview)',
key: 'llama-3.2-11b-vision-preview',
},
{
displayName: 'Llama 3.2 90B Vision Preview (Preview)',
key: 'llama-3.2-90b-vision-preview',
},
];
export const loadGroqChatModels = async () => {
const groqApiKey = getGroqApiKey();
if (!groqApiKey) return {};
try {
const res = await fetch('https://api.groq.com/openai/v1/models', {
method: 'GET',
headers: {
Authorization: `bearer ${groqApiKey}`,
'Content-Type': 'application/json',
},
});
const groqChatModels = (await res.json()).data;
const chatModels: Record<string, ChatModel> = {};
groqChatModels.forEach((model: any) => {
chatModels[model.id] = {
displayName: model.id,
groqChatModels.forEach((model) => {
chatModels[model.key] = {
displayName: model.displayName,
model: new ChatOpenAI({
openAIApiKey: groqApiKey,
modelName: model.id,
modelName: model.key,
temperature: 0.7,
configuration: {
baseURL: 'https://api.groq.com/openai/v1',

View File

@ -1,60 +1,17 @@
import { Embeddings } from '@langchain/core/embeddings';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import {
loadOpenAIChatModels,
loadOpenAIEmbeddingModels,
PROVIDER_INFO as OpenAIInfo,
PROVIDER_INFO,
} from './openai';
import { loadOpenAIChatModels, loadOpenAIEmbeddingModels } from './openai';
import {
getCustomOpenaiApiKey,
getCustomOpenaiApiUrl,
getCustomOpenaiModelName,
} from '../config';
import { ChatOpenAI } from '@langchain/openai';
import {
loadOllamaChatModels,
loadOllamaEmbeddingModels,
PROVIDER_INFO as OllamaInfo,
} from './ollama';
import { loadGroqChatModels, PROVIDER_INFO as GroqInfo } from './groq';
import {
loadAnthropicChatModels,
PROVIDER_INFO as AnthropicInfo,
} from './anthropic';
import {
loadGeminiChatModels,
loadGeminiEmbeddingModels,
PROVIDER_INFO as GeminiInfo,
} from './gemini';
import {
loadTransformersEmbeddingsModels,
PROVIDER_INFO as TransformersInfo,
} from './transformers';
import {
loadDeepseekChatModels,
PROVIDER_INFO as DeepseekInfo,
} from './deepseek';
import {
loadLMStudioChatModels,
loadLMStudioEmbeddingsModels,
PROVIDER_INFO as LMStudioInfo,
} from './lmstudio';
export const PROVIDER_METADATA = {
openai: OpenAIInfo,
ollama: OllamaInfo,
groq: GroqInfo,
anthropic: AnthropicInfo,
gemini: GeminiInfo,
transformers: TransformersInfo,
deepseek: DeepseekInfo,
lmstudio: LMStudioInfo,
custom_openai: {
key: 'custom_openai',
displayName: 'Custom OpenAI',
},
};
import { loadOllamaChatModels, loadOllamaEmbeddingModels } from './ollama';
import { loadGroqChatModels } from './groq';
import { loadAnthropicChatModels } from './anthropic';
import { loadGeminiChatModels, loadGeminiEmbeddingModels } from './gemini';
import { loadTransformersEmbeddingsModels } from './transformers';
export interface ChatModel {
displayName: string;
@ -75,8 +32,6 @@ export const chatModelProviders: Record<
groq: loadGroqChatModels,
anthropic: loadAnthropicChatModels,
gemini: loadGeminiChatModels,
deepseek: loadDeepseekChatModels,
lmstudio: loadLMStudioChatModels,
};
export const embeddingModelProviders: Record<
@ -87,7 +42,6 @@ export const embeddingModelProviders: Record<
ollama: loadOllamaEmbeddingModels,
gemini: loadGeminiEmbeddingModels,
transformers: loadTransformersEmbeddingsModels,
lmstudio: loadLMStudioEmbeddingsModels,
};
export const getAvailableChatModelProviders = async () => {

View File

@ -1,100 +0,0 @@
import { getKeepAlive, getLMStudioApiEndpoint } from '../config';
import axios from 'axios';
import { ChatModel, EmbeddingModel } from '.';
export const PROVIDER_INFO = {
key: 'lmstudio',
displayName: 'LM Studio',
};
import { ChatOpenAI } from '@langchain/openai';
import { OpenAIEmbeddings } from '@langchain/openai';
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';
interface LMStudioModel {
id: string;
name?: string;
}
const ensureV1Endpoint = (endpoint: string): string =>
endpoint.endsWith('/v1') ? endpoint : `${endpoint}/v1`;
const checkServerAvailability = async (endpoint: string): Promise<boolean> => {
try {
await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
headers: { 'Content-Type': 'application/json' },
});
return true;
} catch {
return false;
}
};
export const loadLMStudioChatModels = async () => {
const endpoint = getLMStudioApiEndpoint();
if (!endpoint) return {};
if (!(await checkServerAvailability(endpoint))) return {};
try {
const response = await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
headers: { 'Content-Type': 'application/json' },
});
const chatModels: Record<string, ChatModel> = {};
response.data.data.forEach((model: LMStudioModel) => {
chatModels[model.id] = {
displayName: model.name || model.id,
model: new ChatOpenAI({
openAIApiKey: 'lm-studio',
configuration: {
baseURL: ensureV1Endpoint(endpoint),
},
modelName: model.id,
temperature: 0.7,
streaming: true,
maxRetries: 3,
}) as unknown as BaseChatModel,
};
});
return chatModels;
} catch (err) {
console.error(`Error loading LM Studio models: ${err}`);
return {};
}
};
export const loadLMStudioEmbeddingsModels = async () => {
const endpoint = getLMStudioApiEndpoint();
if (!endpoint) return {};
if (!(await checkServerAvailability(endpoint))) return {};
try {
const response = await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
headers: { 'Content-Type': 'application/json' },
});
const embeddingsModels: Record<string, EmbeddingModel> = {};
response.data.data.forEach((model: LMStudioModel) => {
embeddingsModels[model.id] = {
displayName: model.name || model.id,
model: new OpenAIEmbeddings({
openAIApiKey: 'lm-studio',
configuration: {
baseURL: ensureV1Endpoint(endpoint),
},
modelName: model.id,
}) as unknown as Embeddings,
};
});
return embeddingsModels;
} catch (err) {
console.error(`Error loading LM Studio embeddings model: ${err}`);
return {};
}
};

View File

@ -1,11 +1,6 @@
import axios from 'axios';
import { getKeepAlive, getOllamaApiEndpoint } from '../config';
import { ChatModel, EmbeddingModel } from '.';
export const PROVIDER_INFO = {
key: 'ollama',
displayName: 'Ollama',
};
import { ChatOllama } from '@langchain/community/chat_models/ollama';
import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';

View File

@ -1,11 +1,6 @@
import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
import { getOpenaiApiKey } from '../config';
import { ChatModel, EmbeddingModel } from '.';
export const PROVIDER_INFO = {
key: 'openai',
displayName: 'OpenAI',
};
import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { Embeddings } from '@langchain/core/embeddings';
@ -30,18 +25,6 @@ const openaiChatModels: Record<string, string>[] = [
displayName: 'GPT-4 omni mini',
key: 'gpt-4o-mini',
},
{
displayName: 'GPT 4.1 nano',
key: 'gpt-4.1-nano',
},
{
displayName: 'GPT 4.1 mini',
key: 'gpt-4.1-mini',
},
{
displayName: 'GPT 4.1',
key: 'gpt-4.1',
},
];
const openaiEmbeddingModels: Record<string, string>[] = [

View File

@ -1,10 +1,5 @@
import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
export const PROVIDER_INFO = {
key: 'transformers',
displayName: 'Hugging Face',
};
export const loadTransformersEmbeddingsModels = async () => {
try {
const embeddingModels = {

View File

@ -6,11 +6,6 @@ import {
MessagesPlaceholder,
PromptTemplate,
} from '@langchain/core/prompts';
import {
RunnableLambda,
RunnableMap,
RunnableSequence,
} from '@langchain/core/runnables';
import { BaseMessage } from '@langchain/core/messages';
import { StringOutputParser } from '@langchain/core/output_parsers';
import LineListOutputParser from '../outputParsers/listLineOutputParser';
@ -24,6 +19,7 @@ import computeSimilarity from '../utils/computeSimilarity';
import formatChatHistoryAsString from '../utils/formatHistory';
import eventEmitter from 'events';
import { StreamEvent } from '@langchain/core/tracers/log_stream';
import { EventEmitter } from 'node:stream';
export interface MetaSearchAgentType {
searchAndAnswer: (
@ -33,7 +29,6 @@ export interface MetaSearchAgentType {
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
fileIds: string[],
systemInstructions: string,
) => Promise<eventEmitter>;
}
@ -47,7 +42,7 @@ interface Config {
activeEngines: string[];
}
type BasicChainInput = {
type SearchInput = {
chat_history: BaseMessage[];
query: string;
};
@ -60,237 +55,240 @@ class MetaSearchAgent implements MetaSearchAgentType {
this.config = config;
}
private async createSearchRetrieverChain(llm: BaseChatModel) {
private async searchSources(
llm: BaseChatModel,
input: SearchInput,
emitter: EventEmitter,
) {
(llm as unknown as ChatOpenAI).temperature = 0;
return RunnableSequence.from([
PromptTemplate.fromTemplate(this.config.queryGeneratorPrompt),
llm,
this.strParser,
RunnableLambda.from(async (input: string) => {
const linksOutputParser = new LineListOutputParser({
key: 'links',
});
const chatPrompt = PromptTemplate.fromTemplate(
this.config.queryGeneratorPrompt,
);
const questionOutputParser = new LineOutputParser({
key: 'question',
});
const processedChatPrompt = await chatPrompt.invoke({
chat_history: formatChatHistoryAsString(input.chat_history),
query: input.query,
});
const links = await linksOutputParser.parse(input);
let question = this.config.summarizer
? await questionOutputParser.parse(input)
: input;
const llmRes = await llm.invoke(processedChatPrompt);
const messageStr = await this.strParser.invoke(llmRes);
if (question === 'not_needed') {
return { query: '', docs: [] };
const linksOutputParser = new LineListOutputParser({
key: 'links',
});
const questionOutputParser = new LineOutputParser({
key: 'question',
});
const links = await linksOutputParser.parse(messageStr);
let question = this.config.summarizer
? await questionOutputParser.parse(messageStr)
: messageStr;
if (question === 'not_needed') {
return { query: '', docs: [] };
}
if (links.length > 0) {
if (question.length === 0) {
question = 'summarize';
}
let docs: Document[] = [];
const linkDocs = await getDocumentsFromLinks({ links });
const docGroups: Document[] = [];
linkDocs.map((doc) => {
const URLDocExists = docGroups.find(
(d) =>
d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
);
if (!URLDocExists) {
docGroups.push({
...doc,
metadata: {
...doc.metadata,
totalDocs: 1,
},
});
}
if (links.length > 0) {
if (question.length === 0) {
question = 'summarize';
}
const docIndex = docGroups.findIndex(
(d) =>
d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
);
let docs: Document[] = [];
const linkDocs = await getDocumentsFromLinks({ links });
const docGroups: Document[] = [];
linkDocs.map((doc) => {
const URLDocExists = docGroups.find(
(d) =>
d.metadata.url === doc.metadata.url &&
d.metadata.totalDocs < 10,
);
if (!URLDocExists) {
docGroups.push({
...doc,
metadata: {
...doc.metadata,
totalDocs: 1,
},
});
}
const docIndex = docGroups.findIndex(
(d) =>
d.metadata.url === doc.metadata.url &&
d.metadata.totalDocs < 10,
);
if (docIndex !== -1) {
docGroups[docIndex].pageContent =
docGroups[docIndex].pageContent + `\n\n` + doc.pageContent;
docGroups[docIndex].metadata.totalDocs += 1;
}
});
await Promise.all(
docGroups.map(async (doc) => {
const res = await llm.invoke(`
You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
- **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
- **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
- **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.
The text will be shared inside the \`text\` XML tag, and the query inside the \`query\` XML tag.
<example>
1. \`<text>
Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers.
It was first released in 2013 and is developed by Docker, Inc. Docker is designed to make it easier to create, deploy, and run applications
by using containers.
</text>
<query>
What is Docker and how does it work?
</query>
Response:
Docker is a revolutionary platform-as-a-service product developed by Docker, Inc., that uses container technology to make application
deployment more efficient. It allows developers to package their software with all necessary dependencies, making it easier to run in
any environment. Released in 2013, Docker has transformed the way applications are built, deployed, and managed.
\`
2. \`<text>
The theory of relativity, or simply relativity, encompasses two interrelated theories of Albert Einstein: special relativity and general
relativity. However, the word "relativity" is sometimes used in reference to Galilean invariance. The term "theory of relativity" was based
on the expression "relative theory" used by Max Planck in 1906. The theory of relativity usually encompasses two interrelated theories by
Albert Einstein: special relativity and general relativity. Special relativity applies to all physical phenomena in the absence of gravity.
General relativity explains the law of gravitation and its relation to other forces of nature. It applies to the cosmological and astrophysical
realm, including astronomy.
</text>
<query>
summarize
</query>
Response:
The theory of relativity, developed by Albert Einstein, encompasses two main theories: special relativity and general relativity. Special
relativity applies to all physical phenomena in the absence of gravity, while general relativity explains the law of gravitation and its
relation to other forces of nature. The theory of relativity is based on the concept of "relative theory," as introduced by Max Planck in
1906. It is a fundamental theory in physics that has revolutionized our understanding of the universe.
\`
</example>
Everything below is the actual data you will be working with. Good luck!
<query>
${question}
</query>
<text>
${doc.pageContent}
</text>
Make sure to answer the query in the summary.
`);
const document = new Document({
pageContent: res.content as string,
metadata: {
title: doc.metadata.title,
url: doc.metadata.url,
},
});
docs.push(document);
}),
);
return { query: question, docs: docs };
} else {
question = question.replace(/<think>.*?<\/think>/g, '');
const res = await searchSearxng(question, {
language: 'en',
engines: this.config.activeEngines,
});
const documents = res.results.map(
(result) =>
new Document({
pageContent:
result.content ||
(this.config.activeEngines.includes('youtube')
? result.title
: '') /* Todo: Implement transcript grabbing using Youtubei (source: https://www.npmjs.com/package/youtubei) */,
metadata: {
title: result.title,
url: result.url,
...(result.img_src && { img_src: result.img_src }),
},
}),
);
return { query: question, docs: documents };
if (docIndex !== -1) {
docGroups[docIndex].pageContent =
docGroups[docIndex].pageContent + `\n\n` + doc.pageContent;
docGroups[docIndex].metadata.totalDocs += 1;
}
}),
]);
});
await Promise.all(
docGroups.map(async (doc) => {
const res = await llm.invoke(`
You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
- **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
- **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
- **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.
The text will be shared inside the \`text\` XML tag, and the query inside the \`query\` XML tag.
<example>
1. \`<text>
Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers.
It was first released in 2013 and is developed by Docker, Inc. Docker is designed to make it easier to create, deploy, and run applications
by using containers.
</text>
<query>
What is Docker and how does it work?
</query>
Response:
Docker is a revolutionary platform-as-a-service product developed by Docker, Inc., that uses container technology to make application
deployment more efficient. It allows developers to package their software with all necessary dependencies, making it easier to run in
any environment. Released in 2013, Docker has transformed the way applications are built, deployed, and managed.
\`
2. \`<text>
The theory of relativity, or simply relativity, encompasses two interrelated theories of Albert Einstein: special relativity and general
relativity. However, the word "relativity" is sometimes used in reference to Galilean invariance. The term "theory of relativity" was based
on the expression "relative theory" used by Max Planck in 1906. The theory of relativity usually encompasses two interrelated theories by
Albert Einstein: special relativity and general relativity. Special relativity applies to all physical phenomena in the absence of gravity.
General relativity explains the law of gravitation and its relation to other forces of nature. It applies to the cosmological and astrophysical
realm, including astronomy.
</text>
<query>
summarize
</query>
Response:
The theory of relativity, developed by Albert Einstein, encompasses two main theories: special relativity and general relativity. Special
relativity applies to all physical phenomena in the absence of gravity, while general relativity explains the law of gravitation and its
relation to other forces of nature. The theory of relativity is based on the concept of "relative theory," as introduced by Max Planck in
1906. It is a fundamental theory in physics that has revolutionized our understanding of the universe.
\`
</example>
Everything below is the actual data you will be working with. Good luck!
<query>
${question}
</query>
<text>
${doc.pageContent}
</text>
Make sure to answer the query in the summary.
`);
const document = new Document({
pageContent: res.content as string,
metadata: {
title: doc.metadata.title,
url: doc.metadata.url,
},
});
docs.push(document);
}),
);
return { query: question, docs: docs };
} else {
question = question.replace(/<think>.*?<\/think>/g, '');
const res = await searchSearxng(question, {
language: 'en',
engines: this.config.activeEngines,
});
const documents = res.results.map(
(result) =>
new Document({
pageContent:
result.content ||
(this.config.activeEngines.includes('youtube')
? result.title
: '') /* Todo: Implement transcript grabbing using Youtubei (source: https://www.npmjs.com/package/youtubei) */,
metadata: {
title: result.title,
url: result.url,
...(result.img_src && { img_src: result.img_src }),
},
}),
);
return { query: question, docs: documents };
}
}
private async createAnsweringChain(
private async streamAnswer(
llm: BaseChatModel,
fileIds: string[],
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
systemInstructions: string,
input: SearchInput,
emitter: EventEmitter,
) {
return RunnableSequence.from([
RunnableMap.from({
systemInstructions: () => systemInstructions,
query: (input: BasicChainInput) => input.query,
chat_history: (input: BasicChainInput) => input.chat_history,
date: () => new Date().toISOString(),
context: RunnableLambda.from(async (input: BasicChainInput) => {
const processedHistory = formatChatHistoryAsString(
input.chat_history,
);
const chatPrompt = ChatPromptTemplate.fromMessages([
['system', this.config.responsePrompt],
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]);
let docs: Document[] | null = null;
let query = input.query;
let docs: Document[] | null = null;
let query = input.query;
if (this.config.searchWeb) {
const searchRetrieverChain =
await this.createSearchRetrieverChain(llm);
if (this.config.searchWeb) {
const searchResults = await this.searchSources(llm, input, emitter);
const searchRetrieverResult = await searchRetrieverChain.invoke({
chat_history: processedHistory,
query,
});
query = searchResults.query;
docs = searchResults.docs;
}
query = searchRetrieverResult.query;
docs = searchRetrieverResult.docs;
}
const sortedDocs = await this.rerankDocs(
query,
docs ?? [],
fileIds,
embeddings,
optimizationMode,
);
const sortedDocs = await this.rerankDocs(
query,
docs ?? [],
fileIds,
embeddings,
optimizationMode,
);
emitter.emit('data', JSON.stringify({ type: 'sources', data: sortedDocs }));
return sortedDocs;
})
.withConfig({
runName: 'FinalSourceRetriever',
})
.pipe(this.processDocs),
}),
ChatPromptTemplate.fromMessages([
['system', this.config.responsePrompt],
new MessagesPlaceholder('chat_history'),
['user', '{query}'],
]),
llm,
this.strParser,
]).withConfig({
runName: 'FinalResponseGenerator',
const context = this.processDocs(sortedDocs);
const formattedChatPrompt = await chatPrompt.invoke({
query: input.query,
chat_history: input.chat_history,
date: new Date().toISOString(),
context: context,
});
const llmRes = await llm.stream(formattedChatPrompt);
for await (const data of llmRes) {
const messageStr = await this.strParser.invoke(data);
emitter.emit(
'data',
JSON.stringify({ type: 'response', data: messageStr }),
);
}
emitter.emit('end');
}
private async rerankDocs(
@ -431,39 +429,6 @@ class MetaSearchAgent implements MetaSearchAgentType {
.join('\n');
}
private async handleStream(
stream: AsyncGenerator<StreamEvent, any, any>,
emitter: eventEmitter,
) {
for await (const event of stream) {
if (
event.event === 'on_chain_end' &&
event.name === 'FinalSourceRetriever'
) {
``;
emitter.emit(
'data',
JSON.stringify({ type: 'sources', data: event.data.output }),
);
}
if (
event.event === 'on_chain_stream' &&
event.name === 'FinalResponseGenerator'
) {
emitter.emit(
'data',
JSON.stringify({ type: 'response', data: event.data.chunk }),
);
}
if (
event.event === 'on_chain_end' &&
event.name === 'FinalResponseGenerator'
) {
emitter.emit('end');
}
}
}
async searchAndAnswer(
message: string,
history: BaseMessage[],
@ -471,30 +436,21 @@ class MetaSearchAgent implements MetaSearchAgentType {
embeddings: Embeddings,
optimizationMode: 'speed' | 'balanced' | 'quality',
fileIds: string[],
systemInstructions: string,
) {
const emitter = new eventEmitter();
const answeringChain = await this.createAnsweringChain(
this.streamAnswer(
llm,
fileIds,
embeddings,
optimizationMode,
systemInstructions,
);
const stream = answeringChain.streamEvents(
{
chat_history: history,
query: message,
},
{
version: 'v1',
},
emitter,
);
this.handleStream(stream, emitter);
return emitter;
}
}

View File

@ -64,7 +64,7 @@ export const getDocumentsFromLinks = async ({ links }: { links: string[] }) => {
const splittedText = await splitter.splitText(parsedText);
const title = res.data
.toString('utf8')
.match(/<title.*>(.*?)<\/title>/)?.[1];
.match(/<title>(.*?)<\/title>/)?.[1];
const linkDocs = splittedText.map((text) => {
return new Document({

294
yarn.lock
View File

@ -40,11 +40,6 @@
node-fetch "^2.6.7"
web-streams-polyfill "^3.2.1"
"@babel/runtime@^7.12.5", "@babel/runtime@^7.26.7":
version "7.27.3"
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.27.3.tgz#10491113799fb8d77e1d9273384d5d68deeea8f6"
integrity sha512-7EYtGezsdiDMyY80+65EzwiGmcJqpmcZCojSXaRgdrBaGtWTgDZKq69cPIVped6MkIM78cTQ2GOiEYjwOlG4xw==
"@babel/runtime@^7.20.13", "@babel/runtime@^7.23.2", "@babel/runtime@^7.24.0":
version "7.24.4"
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.24.4.tgz#de795accd698007a66ba44add6cc86542aff1edd"
@ -971,13 +966,6 @@
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
"@types/jspdf@^2.0.0":
version "2.0.0"
resolved "https://registry.yarnpkg.com/@types/jspdf/-/jspdf-2.0.0.tgz#c64d63e9248a62849902085c1cd4753b33f8ee0c"
integrity sha512-oonYDXI4GegGaG7FFVtriJ+Yqlh4YR3L3NVDiwCEBVG7sbya19SoGx4MW4kg1MCMRPgkbbFTck8YKJL8PrkDfA==
dependencies:
jspdf "*"
"@types/long@^4.0.1":
version "4.0.2"
resolved "https://registry.yarnpkg.com/@types/long/-/long-4.0.2.tgz#b74129719fc8d11c01868010082d483b7545591a"
@ -1022,11 +1010,6 @@
resolved "https://registry.yarnpkg.com/@types/prop-types/-/prop-types-15.7.12.tgz#12bb1e2be27293c1406acb6af1c3f3a1481d98c6"
integrity sha512-5zvhXYtRNRluoE/jAp4GVsSduVUzNWKkOZrCDBWYtE7biZywwdC2AcEzg+cSMLFRfVgeAFqpfNabiPjxFddV1Q==
"@types/raf@^3.4.0":
version "3.4.3"
resolved "https://registry.yarnpkg.com/@types/raf/-/raf-3.4.3.tgz#85f1d1d17569b28b8db45e16e996407a56b0ab04"
integrity sha512-c4YAvMedbPZ5tEyxzQdMoOhhJ4RD3rngZIdwC2/qDN3d7JpEhB6fiBRKVY1lg5B7Wk+uPBjn5f39j1/2MY1oOw==
"@types/react-dom@^18":
version "18.2.24"
resolved "https://registry.yarnpkg.com/@types/react-dom/-/react-dom-18.2.24.tgz#8dda8f449ae436a7a6e91efed8035d4ab03ff759"
@ -1052,11 +1035,6 @@
resolved "https://registry.yarnpkg.com/@types/triple-beam/-/triple-beam-1.3.5.tgz#74fef9ffbaa198eb8b588be029f38b00299caa2c"
integrity sha512-6WaYesThRMCl19iryMYP7/x2OVgCtbIVflDGFpWnb9irXI3UjYE4AzmYuiUKY1AJstGijoY+MgUszMgRxIYTYw==
"@types/trusted-types@^2.0.7":
version "2.0.7"
resolved "https://registry.yarnpkg.com/@types/trusted-types/-/trusted-types-2.0.7.tgz#baccb07a970b91707df3a3e8ba6896c57ead2d11"
integrity sha512-ScaPdn1dQczgbl0QFTeTOmVHFULt394XJgOQNoyVhZ6r2vLnMLJfBPd53SB52T/3G36VI1/g2MZaX0cwDuXsfw==
"@types/uuid@^10.0.0":
version "10.0.0"
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
@ -1129,11 +1107,6 @@
optionalDependencies:
onnxruntime-node "1.14.0"
"@xmldom/xmldom@^0.8.6":
version "0.8.10"
resolved "https://registry.yarnpkg.com/@xmldom/xmldom/-/xmldom-0.8.10.tgz#a1337ca426aa61cef9fe15b5b28e340a72f6fa99"
integrity sha512-2WALfTl4xo2SkGCYRt6rDTFfk9R1czmBvUQy12gK2KuRKIpWEhcbbzy8EZXtz/jkRqHX8bFEc6FC1HjX4TUWYw==
abort-controller@^3.0.0:
version "3.0.0"
resolved "https://registry.yarnpkg.com/abort-controller/-/abort-controller-3.0.0.tgz#eaf54d53b62bae4138e809ca225c8439a6efb392"
@ -1218,13 +1191,6 @@ argparse@^2.0.1:
resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
integrity sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==
argparse@~1.0.3:
version "1.0.10"
resolved "https://registry.yarnpkg.com/argparse/-/argparse-1.0.10.tgz#bcd6791ea5ae09725e17e5ad988134cd40b3d911"
integrity sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==
dependencies:
sprintf-js "~1.0.2"
aria-query@^5.3.0:
version "5.3.0"
resolved "https://registry.yarnpkg.com/aria-query/-/aria-query-5.3.0.tgz#650c569e41ad90b51b3d7df5e5eed1c7549c103e"
@ -1351,11 +1317,6 @@ asynckit@^0.4.0:
resolved "https://registry.yarnpkg.com/asynckit/-/asynckit-0.4.0.tgz#c79ed97f7f34cb8f2ba1bc9790bcc366474b4b79"
integrity sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==
atob@^2.1.2:
version "2.1.2"
resolved "https://registry.yarnpkg.com/atob/-/atob-2.1.2.tgz#6d9517eb9e030d2436666651e86bd9f6f13533c9"
integrity sha512-Wm6ukoaOGJi/73p/cl2GvLjTI5JM1k/O14isD73YML8StrH/7/lRFgmg8nICZgD3bZZvjwCGxtMOD3wWNAu8cg==
autoprefixer@^10.0.1:
version "10.4.19"
resolved "https://registry.yarnpkg.com/autoprefixer/-/autoprefixer-10.4.19.tgz#ad25a856e82ee9d7898c59583c1afeb3fa65f89f"
@ -1444,11 +1405,6 @@ base-64@^0.1.0:
resolved "https://registry.yarnpkg.com/base-64/-/base-64-0.1.0.tgz#780a99c84e7d600260361511c4877613bf24f6bb"
integrity sha512-Y5gU45svrR5tI2Vt/X9GPd3L0HNIKzGu202EjxrXMpuc2V2CiKgemAbUUsqYmZJvPtCXoUKjNZwBJzsNScUbXA==
base64-arraybuffer@^1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/base64-arraybuffer/-/base64-arraybuffer-1.0.2.tgz#1c37589a7c4b0746e34bd1feb951da2df01c1bdc"
integrity sha512-I3yl4r9QB5ZRY3XuJVEPfc2XhZO6YweFPI+UovAzn+8/hb3oJ6lnysaFcjVpkCPfVWFUDvoZ8kmVDP7WyRtYtQ==
base64-js@^1.3.1, base64-js@^1.5.1:
version "1.5.1"
resolved "https://registry.yarnpkg.com/base64-js/-/base64-js-1.5.1.tgz#1b1b440160a5bf7ad40b650f095963481903930a"
@ -1488,11 +1444,6 @@ bl@^4.0.3:
inherits "^2.0.4"
readable-stream "^3.4.0"
bluebird@~3.4.0:
version "3.4.7"
resolved "https://registry.yarnpkg.com/bluebird/-/bluebird-3.4.7.tgz#f72d760be09b7f76d08ed8fae98b289a8d05fab3"
integrity sha512-iD3898SR7sWVRHbiQv+sHUtHnMvC1o3nW5rAcqnq3uOn07DSAppZYUkIGslDz6gXC7HfunPe7YVBgoEJASPcHA==
brace-expansion@^1.1.7:
version "1.1.11"
resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-1.1.11.tgz#3c7fcbf529d87226f3d2f52b966ff5271eb441dd"
@ -1525,11 +1476,6 @@ browserslist@^4.23.0:
node-releases "^2.0.14"
update-browserslist-db "^1.0.13"
btoa@^1.2.1:
version "1.2.1"
resolved "https://registry.yarnpkg.com/btoa/-/btoa-1.2.1.tgz#01a9909f8b2c93f6bf680ba26131eb30f7fa3d73"
integrity sha512-SB4/MIGlsiVkMcHmT+pSmIPoNDoHg+7cMzmt3Uxt628MTz2487DKSqK/fuhFBrkuqrYv5UCEnACpF4dTFNKc/g==
buffer-from@^1.0.0:
version "1.1.2"
resolved "https://registry.yarnpkg.com/buffer-from/-/buffer-from-1.1.2.tgz#2b146a6fd72e80b4f55d255f35ed59a3a9a41bd5"
@ -1586,20 +1532,6 @@ caniuse-lite@^1.0.30001587, caniuse-lite@^1.0.30001599:
resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001606.tgz#b4d5f67ab0746a3b8b5b6d1f06e39c51beb39a9e"
integrity sha512-LPbwnW4vfpJId225pwjZJOgX1m9sGfbw/RKJvw/t0QhYOOaTXHvkjVGFGPpvwEzufrjvTlsULnVTxdy4/6cqkg==
canvg@^3.0.11:
version "3.0.11"
resolved "https://registry.yarnpkg.com/canvg/-/canvg-3.0.11.tgz#4b4290a6c7fa36871fac2b14e432eff33b33cf2b"
integrity sha512-5ON+q7jCTgMp9cjpu4Jo6XbvfYwSB2Ow3kzHKfIyJfaCAOHLbdKPQqGKgfED/R5B+3TFFfe8pegYA+b423SRyA==
dependencies:
"@babel/runtime" "^7.12.5"
"@types/raf" "^3.4.0"
core-js "^3.8.3"
raf "^3.4.1"
regenerator-runtime "^0.13.7"
rgbcolor "^1.0.1"
stackblur-canvas "^2.0.0"
svg-pathdata "^6.0.3"
chalk@^4.0.0, chalk@^4.1.2:
version "4.1.2"
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
@ -1759,16 +1691,6 @@ console-table-printer@^2.12.1:
dependencies:
simple-wcswidth "^1.0.1"
core-js@^3.6.0, core-js@^3.8.3:
version "3.42.0"
resolved "https://registry.yarnpkg.com/core-js/-/core-js-3.42.0.tgz#edbe91f78ac8cfb6df8d997e74d368a68082fe37"
integrity sha512-Sz4PP4ZA+Rq4II21qkNqOEDTDrCvcANId3xpIgB34NDkWc3UduWj2dqEtN9yZIq8Dk3HyPI33x9sqqU5C8sr0g==
core-util-is@~1.0.0:
version "1.0.3"
resolved "https://registry.yarnpkg.com/core-util-is/-/core-util-is-1.0.3.tgz#a6042d3634c2b27e9328f837b965fac83808db85"
integrity sha512-ZQBvi1DcpJ4GDqanjucZ2Hj3wEO5pZDS89BWbkcrvdxksJorwUDDZamX9ldFkp9aw2lmBDLgkObEA4DWNJ9FYQ==
cross-spawn@^7.0.0, cross-spawn@^7.0.2:
version "7.0.3"
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.3.tgz#f73a85b9d5d41d045551c177e2882d4ac85728a6"
@ -1783,13 +1705,6 @@ crypt@0.0.2:
resolved "https://registry.yarnpkg.com/crypt/-/crypt-0.0.2.tgz#88d7ff7ec0dfb86f713dc87bbb42d044d3e6c41b"
integrity sha512-mCxBlsHFYh9C+HVpiEacem8FEBnMXgU9gy4zmNC+SXAZNB/1idgp/aulFJ4FgCi7GPEVbfyng092GqL2k2rmow==
css-line-break@^2.1.0:
version "2.1.0"
resolved "https://registry.yarnpkg.com/css-line-break/-/css-line-break-2.1.0.tgz#bfef660dfa6f5397ea54116bb3cb4873edbc4fa0"
integrity sha512-FHcKFCZcAha3LwfVBhCQbW2nCNbkZXn7KVUJcsT5/P8YmfsVja0FMPJr0B903j/E69HUphKiV9iQArX8SDYA4w==
dependencies:
utrie "^1.0.2"
cssesc@^3.0.0:
version "3.0.0"
resolved "https://registry.yarnpkg.com/cssesc/-/cssesc-3.0.0.tgz#37741919903b868565e1c09ea747445cd18983ee"
@ -1919,11 +1834,6 @@ digest-fetch@^1.3.0:
base-64 "^0.1.0"
md5 "^2.3.0"
dingbat-to-unicode@^1.0.1:
version "1.0.1"
resolved "https://registry.yarnpkg.com/dingbat-to-unicode/-/dingbat-to-unicode-1.0.1.tgz#5091dd673241453e6b5865e26e5a4452cdef5c83"
integrity sha512-98l0sW87ZT58pU4i61wa2OHwxbiYSbuxsCBozaVnYX2iCnr3bLM3fIes1/ej7h1YdOKuKt/MLs706TVnALA65w==
dir-glob@^3.0.1:
version "3.0.1"
resolved "https://registry.yarnpkg.com/dir-glob/-/dir-glob-3.0.1.tgz#56dbf73d992a4a93ba1584f4534063fd2e41717f"
@ -1971,13 +1881,6 @@ domhandler@^5.0.2, domhandler@^5.0.3:
dependencies:
domelementtype "^2.3.0"
dompurify@^3.2.4:
version "3.2.6"
resolved "https://registry.yarnpkg.com/dompurify/-/dompurify-3.2.6.tgz#ca040a6ad2b88e2a92dc45f38c79f84a714a1cad"
integrity sha512-/2GogDQlohXPZe6D6NOgQvXLPSYBqIWMnZ8zzOhn09REE4eyAzb+Hed3jhoM9OkuaJ8P6ZGTTVWQKAi8ieIzfQ==
optionalDependencies:
"@types/trusted-types" "^2.0.7"
domutils@^3.0.1:
version "3.2.2"
resolved "https://registry.yarnpkg.com/domutils/-/domutils-3.2.2.tgz#edbfe2b668b0c1d97c24baf0f1062b132221bc78"
@ -2003,13 +1906,6 @@ drizzle-orm@^0.40.1:
resolved "https://registry.yarnpkg.com/drizzle-orm/-/drizzle-orm-0.40.1.tgz#15f1d970d4fb034db2b13e4a33fcbbccda9bf1cb"
integrity sha512-aPNhtiJiPfm3qxz1czrnIDkfvkSdKGXYeZkpG55NPTVI186LmK2fBLMi4dsHpPHlJrZeQ92D322YFPHADBALew==
duck@^0.1.12:
version "0.1.12"
resolved "https://registry.yarnpkg.com/duck/-/duck-0.1.12.tgz#de7adf758421230b6d7aee799ce42670586b9efa"
integrity sha512-wkctla1O6VfP89gQ+J/yDesM0S7B7XLXjKGzXxMDVFg7uEn706niAtyYovKbyq1oT9YwDcly721/iUWoc8MVRg==
dependencies:
underscore "^1.13.1"
eastasianwidth@^0.2.0:
version "0.2.0"
resolved "https://registry.yarnpkg.com/eastasianwidth/-/eastasianwidth-0.2.0.tgz#696ce2ec0aa0e6ea93a397ffcf24aa7840c827cb"
@ -2528,11 +2424,6 @@ fecha@^4.2.0:
resolved "https://registry.yarnpkg.com/fecha/-/fecha-4.2.3.tgz#4d9ccdbc61e8629b259fdca67e65891448d569fd"
integrity sha512-OP2IUU6HeYKJi3i0z4A19kHMQoLVs4Hc+DPqqxI2h/DPZHTm/vjsfC6P0b4jCMy14XizLBqvndQ+UilD7707Jw==
fflate@^0.8.1:
version "0.8.2"
resolved "https://registry.yarnpkg.com/fflate/-/fflate-0.8.2.tgz#fc8631f5347812ad6028bbe4a2308b2792aa1dea"
integrity sha512-cPJU47OaAoCbg0pBvzsgpTPhmhqI5eJjh/JIu8tPj5q+T7iLvW/JAYUqmE7KOB4R1ZyEhzBaIQpQpardBF5z8A==
file-entry-cache@^6.0.1:
version "6.0.1"
resolved "https://registry.yarnpkg.com/file-entry-cache/-/file-entry-cache-6.0.1.tgz#211b2dd9659cb0394b073e7323ac3c933d522027"
@ -2870,14 +2761,6 @@ html-to-text@^9.0.5:
htmlparser2 "^8.0.2"
selderee "^0.11.0"
html2canvas@^1.0.0-rc.5:
version "1.4.1"
resolved "https://registry.yarnpkg.com/html2canvas/-/html2canvas-1.4.1.tgz#7cef1888311b5011d507794a066041b14669a543"
integrity sha512-fPU6BHNpsyIhr8yyMpTLLxAbkaK8ArIBcmZIRiBLiDhjeqvXolaEmDGmELFuX9I4xDcaKKcJl+TKZLqruBbmWA==
dependencies:
css-line-break "^2.1.0"
text-segmentation "^1.0.3"
htmlparser2@^8.0.2:
version "8.0.2"
resolved "https://registry.yarnpkg.com/htmlparser2/-/htmlparser2-8.0.2.tgz#f002151705b383e62433b5cf466f5b716edaec21"
@ -2905,11 +2788,6 @@ ignore@^5.2.0:
resolved "https://registry.yarnpkg.com/ignore/-/ignore-5.3.1.tgz#5073e554cd42c5b33b394375f538b8593e34d4ef"
integrity sha512-5Fytz/IraMjqpwfd34ke28PTVMjZjJG2MPn5t7OE4eUCUNf8BAa7b5WUS9/Qvr6mwOQS7Mk6vdsMno5he+T8Xw==
immediate@~3.0.5:
version "3.0.6"
resolved "https://registry.yarnpkg.com/immediate/-/immediate-3.0.6.tgz#9db1dbd0faf8de6fbe0f5dd5e56bb606280de69b"
integrity sha512-XXOFtyqDjNDAQxVfYxuF7g9Il/IbWmmlQg2MYKOH8ExIT1qg6xc4zyS3HaEEATgs1btfzxq15ciUiY7gjSXRGQ==
import-fresh@^3.2.1:
version "3.3.0"
resolved "https://registry.yarnpkg.com/import-fresh/-/import-fresh-3.3.0.tgz#37162c25fcb9ebaa2e6e53d5b4d88ce17d9e0c2b"
@ -2931,7 +2809,7 @@ inflight@^1.0.4:
once "^1.3.0"
wrappy "1"
inherits@2, inherits@^2.0.3, inherits@^2.0.4, inherits@~2.0.3:
inherits@2, inherits@^2.0.3, inherits@^2.0.4:
version "2.0.4"
resolved "https://registry.yarnpkg.com/inherits/-/inherits-2.0.4.tgz#0fa2c64f932917c3433a0ded55363aae37416b7c"
integrity sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==
@ -3157,11 +3035,6 @@ isarray@^2.0.5:
resolved "https://registry.yarnpkg.com/isarray/-/isarray-2.0.5.tgz#8af1e4c1221244cc62459faf38940d4e644a5723"
integrity sha512-xHjhDr3cNBK0BzdUJSPXZntQUx/mwMS5Rw4A7lPJ90XGAO6ISP/ePDNuo0vhqOZU+UD5JoodwCAAoZQd3FeAKw==
isarray@~1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/isarray/-/isarray-1.0.0.tgz#bb935d48582cba168c06834957a54a3e07124f11"
integrity sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ==
isexe@^2.0.0:
version "2.0.0"
resolved "https://registry.yarnpkg.com/isexe/-/isexe-2.0.0.tgz#e8fbf374dc556ff8947a10dcb0572d633f2cfa10"
@ -3250,21 +3123,6 @@ jsonpointer@^5.0.1:
resolved "https://registry.yarnpkg.com/jsonpointer/-/jsonpointer-5.0.1.tgz#2110e0af0900fd37467b5907ecd13a7884a1b559"
integrity sha512-p/nXbhSEcu3pZRdkW1OfJhpsVtW1gd4Wa1fnQc9YLiTfAjn0312eMKimbdIQzuZl9aa9xUGaRlP9T/CJE/ditQ==
jspdf@*, jspdf@^3.0.1:
version "3.0.1"
resolved "https://registry.yarnpkg.com/jspdf/-/jspdf-3.0.1.tgz#d81e1964f354f60412516eb2449ea2cccd4d2a3b"
integrity sha512-qaGIxqxetdoNnFQQXxTKUD9/Z7AloLaw94fFsOiJMxbfYdBbrBuhWmbzI8TVjrw7s3jBY1PFHofBKMV/wZPapg==
dependencies:
"@babel/runtime" "^7.26.7"
atob "^2.1.2"
btoa "^1.2.1"
fflate "^0.8.1"
optionalDependencies:
canvg "^3.0.11"
core-js "^3.6.0"
dompurify "^3.2.4"
html2canvas "^1.0.0-rc.5"
"jsx-ast-utils@^2.4.1 || ^3.0.0", jsx-ast-utils@^3.3.5:
version "3.3.5"
resolved "https://registry.yarnpkg.com/jsx-ast-utils/-/jsx-ast-utils-3.3.5.tgz#4766bd05a8e2a11af222becd19e15575e52a853a"
@ -3275,16 +3133,6 @@ jspdf@*, jspdf@^3.0.1:
object.assign "^4.1.4"
object.values "^1.1.6"
jszip@^3.7.1:
version "3.10.1"
resolved "https://registry.yarnpkg.com/jszip/-/jszip-3.10.1.tgz#34aee70eb18ea1faec2f589208a157d1feb091c2"
integrity sha512-xXDvecyTpGLrqFrvkrUSoxxfJI5AH7U8zxxtVclpsUtMCq4JQ290LY8AW5c7Ggnr/Y/oK+bQMbqK2qmtk3pN4g==
dependencies:
lie "~3.3.0"
pako "~1.0.2"
readable-stream "~2.3.6"
setimmediate "^1.0.5"
keyv@^4.5.3:
version "4.5.4"
resolved "https://registry.yarnpkg.com/keyv/-/keyv-4.5.4.tgz#a879a99e29452f942439f2a405e3af8b31d4de93"
@ -3392,13 +3240,6 @@ levn@^0.4.1:
prelude-ls "^1.2.1"
type-check "~0.4.0"
lie@~3.3.0:
version "3.3.0"
resolved "https://registry.yarnpkg.com/lie/-/lie-3.3.0.tgz#dcf82dee545f46074daf200c7c1c5a08e0f40f6a"
integrity sha512-UaiMJzeWRlEujzAuw5LokY1L5ecNQYZKfmyZ9L7wDHb/p5etKaxXhohBcrw0EYby+G/NA52vRSN4N39dxHAIwQ==
dependencies:
immediate "~3.0.5"
lilconfig@^2.1.0:
version "2.1.0"
resolved "https://registry.yarnpkg.com/lilconfig/-/lilconfig-2.1.0.tgz#78e23ac89ebb7e1bfbf25b18043de756548e7f52"
@ -3460,15 +3301,6 @@ loose-envify@^1.1.0, loose-envify@^1.4.0:
dependencies:
js-tokens "^3.0.0 || ^4.0.0"
lop@^0.4.2:
version "0.4.2"
resolved "https://registry.yarnpkg.com/lop/-/lop-0.4.2.tgz#c9c2f958a39b9da1c2f36ca9ad66891a9fe84640"
integrity sha512-RefILVDQ4DKoRZsJ4Pj22TxE3omDO47yFpkIBoDKzkqPRISs5U1cnAdg/5583YPkWPaLIYHOKRMQSvjFsO26cw==
dependencies:
duck "^0.1.12"
option "~0.2.1"
underscore "^1.13.1"
lru-cache@^10.2.0:
version "10.2.0"
resolved "https://registry.yarnpkg.com/lru-cache/-/lru-cache-10.2.0.tgz#0bd445ca57363465900f4d1f9bd8db343a4d95c3"
@ -3486,22 +3318,6 @@ lucide-react@^0.363.0:
resolved "https://registry.yarnpkg.com/lucide-react/-/lucide-react-0.363.0.tgz#2bb1f9d09b830dda86f5118fcd097f87247fe0e3"
integrity sha512-AlsfPCsXQyQx7wwsIgzcKOL9LwC498LIMAo+c0Es5PkHJa33xwmYAkkSoKoJWWWSYQEStqu58/jT4tL2gi32uQ==
mammoth@^1.9.1:
version "1.9.1"
resolved "https://registry.yarnpkg.com/mammoth/-/mammoth-1.9.1.tgz#b544c26747a412b5b00a11aa80477c6796860eaf"
integrity sha512-4S2v1eP4Yo4so0zGNicJKcP93su3wDPcUk+xvkjSG75nlNjSkDJu8BhWQ+e54BROM0HfA6nPzJn12S6bq2Ko6w==
dependencies:
"@xmldom/xmldom" "^0.8.6"
argparse "~1.0.3"
base64-js "^1.5.1"
bluebird "~3.4.0"
dingbat-to-unicode "^1.0.1"
jszip "^3.7.1"
lop "^0.4.2"
path-is-absolute "^1.0.0"
underscore "^1.13.1"
xmlbuilder "^10.0.0"
markdown-to-jsx@^7.7.2:
version "7.7.2"
resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.7.2.tgz#59c1dd64f48b53719311ab140be3cd51cdabccd3"
@ -3892,11 +3708,6 @@ openapi-types@^12.1.3:
resolved "https://registry.yarnpkg.com/openapi-types/-/openapi-types-12.1.3.tgz#471995eb26c4b97b7bd356aacf7b91b73e777dd3"
integrity sha512-N4YtSYJqghVu4iek2ZUvcN/0aqH1kRDuNqzcycDxhOUpg7GdvLa2F3DgS6yBNhInhv2r/6I0Flkn7CqL8+nIcw==
option@~0.2.1:
version "0.2.4"
resolved "https://registry.yarnpkg.com/option/-/option-0.2.4.tgz#fd475cdf98dcabb3cb397a3ba5284feb45edbfe4"
integrity sha512-pkEqbDyl8ou5cpq+VsnQbe/WlEy5qS7xPzMS1U55OCG9KPvwFD46zDbxQIj3egJSFc3D+XhYOPUzz49zQAVy7A==
optionator@^0.9.3:
version "0.9.3"
resolved "https://registry.yarnpkg.com/optionator/-/optionator-0.9.3.tgz#007397d44ed1872fdc6ed31360190f81814e2c64"
@ -3951,11 +3762,6 @@ p-timeout@^3.2.0:
dependencies:
p-finally "^1.0.0"
pako@~1.0.2:
version "1.0.11"
resolved "https://registry.yarnpkg.com/pako/-/pako-1.0.11.tgz#6c9599d340d54dfd3946380252a35705a6b992bf"
integrity sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw==
parent-module@^1.0.0:
version "1.0.1"
resolved "https://registry.yarnpkg.com/parent-module/-/parent-module-1.0.1.tgz#691d2709e78c79fae3a156622452d00762caaaa2"
@ -4017,11 +3823,6 @@ peberminta@^0.9.0:
resolved "https://registry.yarnpkg.com/peberminta/-/peberminta-0.9.0.tgz#8ec9bc0eb84b7d368126e71ce9033501dca2a352"
integrity sha512-XIxfHpEuSJbITd1H3EeQwpcZbTLHc+VVr8ANI9t5sit565tsI4/xK3KWTUFE2e6QiangUkh3B0jihzmGnNrRsQ==
performance-now@^2.1.0:
version "2.1.0"
resolved "https://registry.yarnpkg.com/performance-now/-/performance-now-2.1.0.tgz#6309f4e0e5fa913ec1c69307ae364b4b377c9e7b"
integrity sha512-7EAHlyLHI56VEIdK57uwHdHKIaAGbnXPiw0yWbarQZOKaKpvUIgW0jWRVLiatnM+XXlSwsanIBH/hzGMJulMow==
picocolors@^1.0.0:
version "1.1.1"
resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.1.1.tgz#3d321af3eab939b083c8f929a1d12cda81c26b6b"
@ -4150,11 +3951,6 @@ prettier@^3.2.5:
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.2.5.tgz#e52bc3090586e824964a8813b09aba6233b28368"
integrity sha512-3/GWa9aOC0YeD7LUfvOG2NiDyhOWRvt1k+rcKhOuYnMY24iiCphgneUfJDyFXd6rZCAnuLBv6UeAULtrhT/F4A==
process-nextick-args@~2.0.0:
version "2.0.1"
resolved "https://registry.yarnpkg.com/process-nextick-args/-/process-nextick-args-2.0.1.tgz#7820d9b16120cc55ca9ae7792680ae7dba6d7fe2"
integrity sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag==
prop-types@^15.8.1:
version "15.8.1"
resolved "https://registry.yarnpkg.com/prop-types/-/prop-types-15.8.1.tgz#67d87bf1a694f48435cf332c24af10214a3140b5"
@ -4206,13 +4002,6 @@ queue-microtask@^1.2.2:
resolved "https://registry.yarnpkg.com/queue-microtask/-/queue-microtask-1.2.3.tgz#4929228bbc724dfac43e0efb058caf7b6cfb6243"
integrity sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A==
raf@^3.4.1:
version "3.4.1"
resolved "https://registry.yarnpkg.com/raf/-/raf-3.4.1.tgz#0742e99a4a6552f445d73e3ee0328af0ff1ede39"
integrity sha512-Sq4CW4QhwOHE8ucn6J34MqtZCeWFP2aQSmrlroYgqAV1PjStIhJXxYuTgUIfkEk7zTLjmIjLmU5q+fbD1NnOJA==
dependencies:
performance-now "^2.1.0"
rc@^1.2.7:
version "1.2.8"
resolved "https://registry.yarnpkg.com/rc/-/rc-1.2.8.tgz#cd924bf5200a075b83c188cd6b9e211b7fc0d3ed"
@ -4273,19 +4062,6 @@ readable-stream@^3.1.1, readable-stream@^3.4.0, readable-stream@^3.6.2:
string_decoder "^1.1.1"
util-deprecate "^1.0.1"
readable-stream@~2.3.6:
version "2.3.8"
resolved "https://registry.yarnpkg.com/readable-stream/-/readable-stream-2.3.8.tgz#91125e8042bba1b9887f49345f6277027ce8be9b"
integrity sha512-8p0AUk4XODgIewSi0l8Epjs+EVnWiK7NoDIEGU0HhE7+ZyY8D1IMY7odu5lRrFXGg71L15KG8QrPmum45RTtdA==
dependencies:
core-util-is "~1.0.0"
inherits "~2.0.3"
isarray "~1.0.0"
process-nextick-args "~2.0.0"
safe-buffer "~5.1.1"
string_decoder "~1.1.1"
util-deprecate "~1.0.1"
readdirp@~3.6.0:
version "3.6.0"
resolved "https://registry.yarnpkg.com/readdirp/-/readdirp-3.6.0.tgz#74a370bd857116e245b29cc97340cd431a02a6c7"
@ -4306,11 +4082,6 @@ reflect.getprototypeof@^1.0.4:
globalthis "^1.0.3"
which-builtin-type "^1.1.3"
regenerator-runtime@^0.13.7:
version "0.13.11"
resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz#f6dca3e7ceec20590d07ada785636a90cdca17f9"
integrity sha512-kY1AZVr2Ra+t+piVaJ4gxaFaReZVH40AKNo7UCX6W+dEwBo/2oZJzqfuN1qLq1oL45o56cPaTXELwrTh8Fpggg==
regenerator-runtime@^0.14.0:
version "0.14.1"
resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.14.1.tgz#356ade10263f685dda125100cd862c1db895327f"
@ -4364,11 +4135,6 @@ reusify@^1.0.4:
resolved "https://registry.yarnpkg.com/reusify/-/reusify-1.0.4.tgz#90da382b1e126efc02146e90845a88db12925d76"
integrity sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw==
rgbcolor@^1.0.1:
version "1.0.1"
resolved "https://registry.yarnpkg.com/rgbcolor/-/rgbcolor-1.0.1.tgz#d6505ecdb304a6595da26fa4b43307306775945d"
integrity sha512-9aZLIrhRaD97sgVhtJOW6ckOEh6/GnvQtdVNfdZ6s67+3/XwLS9lBcQYzEEhYVeUowN7pRzMLsyGhK2i/xvWbw==
rimraf@^3.0.2:
version "3.0.2"
resolved "https://registry.yarnpkg.com/rimraf/-/rimraf-3.0.2.tgz#f1a5402ba6220ad52cc1282bac1ae3aa49fd061a"
@ -4398,11 +4164,6 @@ safe-buffer@^5.0.1, safe-buffer@~5.2.0:
resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.2.1.tgz#1eaf9fa9bdb1fdd4ec75f58f9cdb4e6b7827eec6"
integrity sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==
safe-buffer@~5.1.0, safe-buffer@~5.1.1:
version "5.1.2"
resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.1.2.tgz#991ec69d296e0313747d59bdfd2b745c35f8828d"
integrity sha512-Gd2UZBJDkXlY7GbJxfsE8/nvKkUEU1G38c1siN6QP6a9PT9MmHB8GnpscSmMJSoF8LOIrt8ud/wPtojys4G6+g==
safe-regex-test@^1.0.3:
version "1.0.3"
resolved "https://registry.yarnpkg.com/safe-regex-test/-/safe-regex-test-1.0.3.tgz#a5b4c0f06e0ab50ea2c395c14d8371232924c377"
@ -4470,11 +4231,6 @@ set-function-name@^2.0.1, set-function-name@^2.0.2:
functions-have-names "^1.2.3"
has-property-descriptors "^1.0.2"
setimmediate@^1.0.5:
version "1.0.5"
resolved "https://registry.yarnpkg.com/setimmediate/-/setimmediate-1.0.5.tgz#290cbb232e306942d7d7ea9b83732ab7856f8285"
integrity sha512-MATJdZp8sLqDl/68LfQmbP8zKPLQNV6BIZoIgrscFDQ+RsvK/BxeDQOgyxKKoh0y/8h3BqVFnCqQ/gd+reiIXA==
sharp@^0.32.0:
version "0.32.6"
resolved "https://registry.yarnpkg.com/sharp/-/sharp-0.32.6.tgz#6ad30c0b7cd910df65d5f355f774aa4fce45732a"
@ -4609,21 +4365,11 @@ source-map@^0.6.0:
resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
sprintf-js@~1.0.2:
version "1.0.3"
resolved "https://registry.yarnpkg.com/sprintf-js/-/sprintf-js-1.0.3.tgz#04e6926f662895354f3dd015203633b857297e2c"
integrity sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g==
stack-trace@0.0.x:
version "0.0.10"
resolved "https://registry.yarnpkg.com/stack-trace/-/stack-trace-0.0.10.tgz#547c70b347e8d32b4e108ea1a2a159e5fdde19c0"
integrity sha512-KGzahc7puUKkzyMt+IqAep+TVNbKP+k2Lmwhub39m1AsTSkaDutx56aDCo+HLDzf/D26BIHTJWNiTG1KAJiQCg==
stackblur-canvas@^2.0.0:
version "2.7.0"
resolved "https://registry.yarnpkg.com/stackblur-canvas/-/stackblur-canvas-2.7.0.tgz#af931277d0b5096df55e1f91c530043e066989b6"
integrity sha512-yf7OENo23AGJhBriGx0QivY5JP6Y1HbrrDI6WLt6C5auYZXlQrheoY8hD4ibekFKz1HOfE48Ww8kMWMnJD/zcQ==
streamsearch@^1.1.0:
version "1.1.0"
resolved "https://registry.yarnpkg.com/streamsearch/-/streamsearch-1.1.0.tgz#404dd1e2247ca94af554e841a8ef0eaa238da764"
@ -4719,13 +4465,6 @@ string_decoder@^1.1.1:
dependencies:
safe-buffer "~5.2.0"
string_decoder@~1.1.1:
version "1.1.1"
resolved "https://registry.yarnpkg.com/string_decoder/-/string_decoder-1.1.1.tgz#9cf1611ba62685d7030ae9e4ba34149c3af03fc8"
integrity sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg==
dependencies:
safe-buffer "~5.1.0"
"strip-ansi-cjs@npm:strip-ansi@^6.0.1":
version "6.0.1"
resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
@ -4799,11 +4538,6 @@ supports-preserve-symlinks-flag@^1.0.0:
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==
svg-pathdata@^6.0.3:
version "6.0.3"
resolved "https://registry.yarnpkg.com/svg-pathdata/-/svg-pathdata-6.0.3.tgz#80b0e0283b652ccbafb69ad4f8f73e8d3fbf2cac"
integrity sha512-qsjeeq5YjBZ5eMdFuUa4ZosMLxgr5RZ+F+Y1OrDhuOCEInRMA3x74XdBtggJcj9kOeInz0WE+LgCPDkZFlBYJw==
tabbable@^6.0.0:
version "6.2.0"
resolved "https://registry.yarnpkg.com/tabbable/-/tabbable-6.2.0.tgz#732fb62bc0175cfcec257330be187dcfba1f3b97"
@ -4902,13 +4636,6 @@ text-hex@1.0.x:
resolved "https://registry.yarnpkg.com/text-hex/-/text-hex-1.0.0.tgz#69dc9c1b17446ee79a92bf5b884bb4b9127506f5"
integrity sha512-uuVGNWzgJ4yhRaNSiubPY7OjISw4sw4E5Uv0wbjp+OzcbmVU/rsT8ujgcXJhn9ypzsgr5vlzpPqP+MBBKcGvbg==
text-segmentation@^1.0.3:
version "1.0.3"
resolved "https://registry.yarnpkg.com/text-segmentation/-/text-segmentation-1.0.3.tgz#52a388159efffe746b24a63ba311b6ac9f2d7943"
integrity sha512-iOiPUo/BGnZ6+54OsWxZidGCsdU8YbE4PSpdPinp7DeMtUJNJBoJ/ouUSTJjHkh1KntHaltHl/gDs2FC4i5+Nw==
dependencies:
utrie "^1.0.2"
text-table@^0.2.0:
version "0.2.0"
resolved "https://registry.yarnpkg.com/text-table/-/text-table-0.2.0.tgz#7f5ee823ae805207c00af2df4a84ec3fcfa570b4"
@ -5048,11 +4775,6 @@ unbox-primitive@^1.0.2:
has-symbols "^1.0.3"
which-boxed-primitive "^1.0.2"
underscore@^1.13.1:
version "1.13.7"
resolved "https://registry.yarnpkg.com/underscore/-/underscore-1.13.7.tgz#970e33963af9a7dda228f17ebe8399e5fbe63a10"
integrity sha512-GMXzWtsc57XAtguZgaQViUOzs0KTkk8ojr3/xAxXLITqf/3EMwxC0inyETfDFjH/Krbhuep0HNbbjI9i/q3F3g==
undici-types@~5.26.4:
version "5.26.5"
resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-5.26.5.tgz#bcd539893d00b56e964fd2657a4866b221a65617"
@ -5095,18 +4817,11 @@ use-latest@^1.2.1:
dependencies:
use-isomorphic-layout-effect "^1.1.1"
util-deprecate@^1.0.1, util-deprecate@^1.0.2, util-deprecate@~1.0.1:
util-deprecate@^1.0.1, util-deprecate@^1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/util-deprecate/-/util-deprecate-1.0.2.tgz#450d4dc9fa70de732762fbd2d4a28981419a0ccf"
integrity sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==
utrie@^1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/utrie/-/utrie-1.0.2.tgz#d42fe44de9bc0119c25de7f564a6ed1b2c87a645"
integrity sha512-1MLa5ouZiOmQzUbjbu9VmjLzn1QLXBhwpUa7kdLUQK+KQ5KA9I1vk5U4YHe/X2Ch7PYnJfWuWT+VbuxbGwljhw==
dependencies:
base64-arraybuffer "^1.0.2"
uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
@ -5263,11 +4978,6 @@ wrappy@1:
resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"
integrity sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==
xmlbuilder@^10.0.0:
version "10.1.1"
resolved "https://registry.yarnpkg.com/xmlbuilder/-/xmlbuilder-10.1.1.tgz#8cae6688cc9b38d850b7c8d3c0a4161dcaf475b0"
integrity sha512-OyzrcFLL/nb6fMGHbiRDuPup9ljBycsdCypwuyg5AAHvyWzGfChJpCXMG88AGTIMFhGZ9RccFN1e6lhg3hkwKg==
yallist@^4.0.0:
version "4.0.0"
resolved "https://registry.yarnpkg.com/yallist/-/yallist-4.0.0.tgz#9bb92790d9c0effec63be73519e11a35019a3a72"