feat(app): fix build errors

CONTRIBUTING.md

@@ -1,32 +1,43 @@
 # How to Contribute to Perplexica
 
-Hey there, thanks for deciding to contribute to Perplexica. Anything you help with will support the development of Perplexica and will make it better. Let's walk you through the key aspects to ensure your contributions are effective and in harmony with the project's setup.
+Thanks for your interest in contributing to Perplexica! Your help makes this project better. This guide explains how to contribute effectively.
+
+Perplexica is a modern AI chat application with advanced search capabilities.
 
 ## Project Structure
 
-Perplexica's design consists of two main domains:
+Perplexica's codebase is organized as follows:
 
-- **Frontend (`ui` directory)**: This is a Next.js application holding all user interface components. It's a self-contained environment that manages everything the user interacts with.
-- **Backend (root and `src` directory)**: The backend logic is situated in the `src` folder, but the root directory holds the main `package.json` for backend dependency management.
-  - All of the focus modes are created using the Meta Search Agent class present in `src/search/metaSearchAgent.ts`. The main logic behind Perplexica lies there.
+- **UI Components and Pages**:
+  - **Components (`src/components`)**: Reusable UI components.
+  - **Pages and Routes (`src/app`)**: Next.js app directory structure with page components.
+    - Main app routes include: home (`/`), chat (`/c`), discover (`/discover`), library (`/library`), and settings (`/settings`).
+  - **API Routes (`src/app/api`)**: API endpoints implemented with Next.js API routes.
+    - `/api/chat`: Handles chat interactions.
+    - `/api/search`: Provides direct access to Perplexica's search capabilities.
+    - Other endpoints for models, files, and suggestions.
+- **Backend Logic (`src/lib`)**: Contains all the backend functionality including search, database, and API logic.
+  - The search functionality is present inside `src/lib/search` directory.
+  - All of the focus modes are implemented using the Meta Search Agent class in `src/lib/search/metaSearchAgent.ts`.
+  - Database functionality is in `src/lib/db`.
+  - Chat model and embedding model providers are managed in `src/lib/providers`.
+  - Prompt templates and LLM chain definitions are in `src/lib/prompts` and `src/lib/chains` respectively.
+
+## API Documentation
+
+Perplexica exposes several API endpoints for programmatic access, including:
+
+- **Search API**: Access Perplexica's advanced search capabilities directly via the `/api/search` endpoint. For detailed documentation, see `docs/api/search.md`.
 
 ## Setting Up Your Environment
 
 Before diving into coding, setting up your local environment is key. Here's what you need to do:
 
-### Backend
-
 1. In the root directory, locate the `sample.config.toml` file.
-2. Rename it to `config.toml` and fill in the necessary configuration fields specific to the backend.
-3. Run `npm install` to install dependencies.
-4. Run `npm run db:push` to set up the local sqlite.
-5. Use `npm run dev` to start the backend in development mode.
-
-### Frontend
-
-1. Navigate to the `ui` folder and repeat the process of renaming `.env.example` to `.env`, making sure to provide the frontend-specific variables.
-2. Execute `npm install` within the `ui` directory to get the frontend dependencies ready.
-3. Launch the frontend development server with `npm run dev`.
+2. Rename it to `config.toml` and fill in the necessary configuration fields.
+3. Run `npm install` to install all dependencies.
+4. Run `npm run db:push` to set up the local sqlite database.
+5. Use `npm run dev` to start the application in development mode.
 
 **Please note**: Docker configurations are present for setting up production environments, whereas `npm run dev` is used for development purposes.
 

README.md

@@ -109,14 +109,13 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 
 1. Install SearXNG and allow `JSON` format in the SearXNG settings.
 2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
-3. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
-4. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
-5. Install the dependencies and then execute `npm run build` in both the `ui` folder and the root directory.
-6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
+3. After populating the configuration run `npm i`.
+4. Install the dependencies and then execute `npm run build`.
+5. Finally, start the app by running `npm rum start`
 
 **Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
 
-See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like exposing it your network, etc.
+See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like updating, etc.
 
 ### Ollama Connection Errors
 

app.dockerfile

@@ -3,7 +3,7 @@ FROM node:20.18.0-alpine AS builder
 WORKDIR /home/perplexica
 
 COPY package.json yarn.lock ./
-RUN yarn install --frozen-lockfile
+RUN yarn install --frozen-lockfile --network-timeout 600000
 
 COPY tsconfig.json next.config.mjs next-env.d.ts postcss.config.js drizzle.config.ts tailwind.config.ts ./
 COPY src ./src

docs/API/SEARCH.md

@@ -6,9 +6,9 @@ Perplexica’s Search API makes it easy to use our AI-powered search engine. You
 
 ## Endpoint
 
-### **POST** `http://localhost:3001/api/search`
+### **POST** `http://localhost:3000/api/search`
 
-**Note**: Replace `3001` with any other port if you've changed the default PORT
+**Note**: Replace `3000` with any other port if you've changed the default PORT
 
 ### Request
 
@@ -20,11 +20,11 @@ The API accepts a JSON object in the request body, where you define the focus mo
 {
   "chatModel": {
     "provider": "openai",
-    "model": "gpt-4o-mini"
+    "name": "gpt-4o-mini"
   },
   "embeddingModel": {
     "provider": "openai",
-    "model": "text-embedding-3-large"
+    "name": "text-embedding-3-large"
   },
   "optimizationMode": "speed",
   "focusMode": "webSearch",
@@ -38,18 +38,18 @@ The API accepts a JSON object in the request body, where you define the focus mo
 
 ### Request Parameters
 
-- **`chatModel`** (object, optional): Defines the chat model to be used for the query. For model details you can send a GET request at `http://localhost:3001/api/models`. Make sure to use the key value (For example "gpt-4o-mini" instead of the display name "GPT 4 omni mini").
+- **`chatModel`** (object, optional): Defines the chat model to be used for the query. For model details you can send a GET request at `http://localhost:3000/api/models`. Make sure to use the key value (For example "gpt-4o-mini" instead of the display name "GPT 4 omni mini").
 
   - `provider`: Specifies the provider for the chat model (e.g., `openai`, `ollama`).
-  - `model`: The specific model from the chosen provider (e.g., `gpt-4o-mini`).
+  - `name`: The specific model from the chosen provider (e.g., `gpt-4o-mini`).
   - Optional fields for custom OpenAI configuration:
     - `customOpenAIBaseURL`: If you’re using a custom OpenAI instance, provide the base URL.
     - `customOpenAIKey`: The API key for a custom OpenAI instance.
 
-- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching. For model details you can send a GET request at `http://localhost:3001/api/models`. Make sure to use the key value (For example "text-embedding-3-large" instead of the display name "Text Embedding 3 Large").
+- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching. For model details you can send a GET request at `http://localhost:3000/api/models`. Make sure to use the key value (For example "text-embedding-3-large" instead of the display name "Text Embedding 3 Large").
 
   - `provider`: The provider for the embedding model (e.g., `openai`).
-  - `model`: The specific embedding model (e.g., `text-embedding-3-large`).
+  - `name`: The specific embedding model (e.g., `text-embedding-3-large`).
 
 - **`focusMode`** (string, required): Specifies which focus mode to use. Available modes:
 

docs/architecture/WORKING.md

@@ -4,7 +4,7 @@ Curious about how Perplexica works? Don't worry, we'll cover it here. Before we
 
 We'll understand how Perplexica works by taking an example of a scenario where a user asks: "How does an A.C. work?". We'll break down the process into steps to make it easier to understand. The steps are as follows:
 
-1. The message is sent via WS to the backend server where it invokes the chain. The chain will depend on your focus mode. For this example, let's assume we use the "webSearch" focus mode.
+1. The message is sent to the `/api/chat` route where it invokes the chain. The chain will depend on your focus mode. For this example, let's assume we use the "webSearch" focus mode.
 2. The chain is now invoked; first, the message is passed to another chain where it first predicts (using the chat history and the question) whether there is a need for sources and searching the web. If there is, it will generate a query (in accordance with the chat history) for searching the web that we'll take up later. If not, the chain will end there, and then the answer generator chain, also known as the response generator, will be started.
 3. The query returned by the first chain is passed to SearXNG to search the web for information.
 4. After the information is retrieved, it is based on keyword-based search. We then convert the information into embeddings and the query as well, then we perform a similarity search to find the most relevant sources to answer the query.

docs/installation/NETWORKING.md

@@ -1,109 +0,0 @@
-# Expose Perplexica to a network
-
-This guide will show you how to make Perplexica available over a network. Follow these steps to allow computers on the same network to interact with Perplexica. Choose the instructions that match the operating system you are using.
-
-## Windows
-
-1. Open PowerShell as Administrator
-
-2. Navigate to the directory containing the `docker-compose.yaml` file
-
-3. Stop and remove the existing Perplexica containers and images:
-
-   ```bash
-   docker compose down --rmi all
-   ```
-
-4. Open the `docker-compose.yaml` file in a text editor like Notepad++
-
-5. Replace `127.0.0.1` with the IP address of the server Perplexica is running on in these two lines:
-
-   ```bash
-   args:
-     - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
-     - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
-   ```
-
-6. Save and close the `docker-compose.yaml` file
-
-7. Rebuild and restart the Perplexica container:
-
-   ```bash
-   docker compose up -d --build
-   ```
-
-## macOS
-
-1. Open the Terminal application
-
-2. Navigate to the directory with the `docker-compose.yaml` file:
-
-   ```bash
-   cd /path/to/docker-compose.yaml
-   ```
-
-3. Stop and remove existing containers and images:
-
-   ```bash
-   docker compose down --rmi all
-   ```
-
-4. Open `docker-compose.yaml` in a text editor like Sublime Text:
-
-   ```bash
-   nano docker-compose.yaml
-   ```
-
-5. Replace `127.0.0.1` with the server IP in these lines:
-
-   ```bash
-   args:
-     - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
-     - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
-   ```
-
-6. Save and exit the editor
-
-7. Rebuild and restart Perplexica:
-
-   ```bash
-   docker compose up -d --build
-   ```
-
-## Linux
-
-1. Open the terminal
-
-2. Navigate to the `docker-compose.yaml` directory:
-
-   ```bash
-   cd /path/to/docker-compose.yaml
-   ```
-
-3. Stop and remove containers and images:
-
-   ```bash
-   docker compose down --rmi all
-   ```
-
-4. Edit `docker-compose.yaml`:
-
-   ```bash
-   nano docker-compose.yaml
-   ```
-
-5. Replace `127.0.0.1` with the server IP:
-
-   ```bash
-   args:
-     - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
-     - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
-   ```
-
-6. Save and exit the editor
-
-7. Rebuild and restart Perplexica:
-
-   ```bash
-   docker compose up -d --build
-   ```

docs/installation/UPDATING.md

@@ -39,11 +39,8 @@ To update Perplexica to the latest version, follow these steps:
 2. Navigate to the project directory.
 
 3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
-
-4. Execute `npm i` in both the `ui` folder and the root directory.
-
-5. Once the packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
-
-6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
+4. After populating the configuration run `npm i`.
+5. Install the dependencies and then execute `npm run build`.
+6. Finally, start the app by running `npm rum start`
 
 ---

package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.10.0-rc3",
+  "version": "1.10.0",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
@@ -20,6 +20,7 @@
     "@langchain/openai": "^0.0.25",
     "@langchain/textsplitters": "^0.1.0",
     "@tailwindcss/typography": "^0.5.12",
+    "@xenova/transformers": "^2.17.2",
     "axios": "^1.8.3",
     "better-sqlite3": "^11.9.1",
     "clsx": "^2.1.0",

sample.config.toml

@@ -1,5 +1,4 @@
 [GENERAL]
-PORT = 3001 # Port to run the server on
 SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
 KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
 

src/app/api/chat/route.ts

@@ -20,67 +20,11 @@ import {
   getCustomOpenaiApiUrl,
   getCustomOpenaiModelName,
 } from '@/lib/config';
+import { searchHandlers } from '@/lib/search';
 
 export const runtime = 'nodejs';
 export const dynamic = 'force-dynamic';
 
-const searchHandlers: Record<string, MetaSearchAgent> = {
-  webSearch: new MetaSearchAgent({
-    activeEngines: [],
-    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
-    responsePrompt: prompts.webSearchResponsePrompt,
-    rerank: true,
-    rerankThreshold: 0.3,
-    searchWeb: true,
-    summarizer: true,
-  }),
-  academicSearch: new MetaSearchAgent({
-    activeEngines: ['arxiv', 'google scholar', 'pubmed'],
-    queryGeneratorPrompt: prompts.academicSearchRetrieverPrompt,
-    responsePrompt: prompts.academicSearchResponsePrompt,
-    rerank: true,
-    rerankThreshold: 0,
-    searchWeb: true,
-    summarizer: false,
-  }),
-  writingAssistant: new MetaSearchAgent({
-    activeEngines: [],
-    queryGeneratorPrompt: '',
-    responsePrompt: prompts.writingAssistantPrompt,
-    rerank: true,
-    rerankThreshold: 0,
-    searchWeb: false,
-    summarizer: false,
-  }),
-  wolframAlphaSearch: new MetaSearchAgent({
-    activeEngines: ['wolframalpha'],
-    queryGeneratorPrompt: prompts.wolframAlphaSearchRetrieverPrompt,
-    responsePrompt: prompts.wolframAlphaSearchResponsePrompt,
-    rerank: false,
-    rerankThreshold: 0,
-    searchWeb: true,
-    summarizer: false,
-  }),
-  youtubeSearch: new MetaSearchAgent({
-    activeEngines: ['youtube'],
-    queryGeneratorPrompt: prompts.youtubeSearchRetrieverPrompt,
-    responsePrompt: prompts.youtubeSearchResponsePrompt,
-    rerank: true,
-    rerankThreshold: 0.3,
-    searchWeb: true,
-    summarizer: false,
-  }),
-  redditSearch: new MetaSearchAgent({
-    activeEngines: ['reddit'],
-    queryGeneratorPrompt: prompts.redditSearchRetrieverPrompt,
-    responsePrompt: prompts.redditSearchResponsePrompt,
-    rerank: true,
-    rerankThreshold: 0.3,
-    searchWeb: true,
-    summarizer: false,
-  }),
-};
-
 type Message = {
   messageId: string;
   chatId: string;

src/app/api/search/route.ts

@@ -0,0 +1,169 @@
+import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import type { Embeddings } from '@langchain/core/embeddings';
+import { ChatOpenAI } from '@langchain/openai';
+import {
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
+import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { MetaSearchAgentType } from '@/lib/search/metaSearchAgent';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { searchHandlers } from '@/lib/search';
+
+interface chatModel {
+  provider: string;
+  name: string;
+  customOpenAIKey?: string;
+  customOpenAIBaseURL?: string;
+}
+
+interface embeddingModel {
+  provider: string;
+  name: string;
+}
+
+interface ChatRequestBody {
+  optimizationMode: 'speed' | 'balanced';
+  focusMode: string;
+  chatModel?: chatModel;
+  embeddingModel?: embeddingModel;
+  query: string;
+  history: Array<[string, string]>;
+}
+
+export const POST = async (req: Request) => {
+  try {
+    const body: ChatRequestBody = await req.json();
+
+    if (!body.focusMode || !body.query) {
+      return Response.json(
+        { message: 'Missing focus mode or query' },
+        { status: 400 },
+      );
+    }
+
+    body.history = body.history || [];
+    body.optimizationMode = body.optimizationMode || 'balanced';
+
+    const history: BaseMessage[] = body.history.map((msg) => {
+      return msg[0] === 'human'
+        ? new HumanMessage({ content: msg[1] })
+        : new AIMessage({ content: msg[1] });
+    });
+
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
+    ]);
+
+    const chatModelProvider =
+      body.chatModel?.provider || Object.keys(chatModelProviders)[0];
+    const chatModel =
+      body.chatModel?.name ||
+      Object.keys(chatModelProviders[chatModelProvider])[0];
+
+    const embeddingModelProvider =
+      body.embeddingModel?.provider || Object.keys(embeddingModelProviders)[0];
+    const embeddingModel =
+      body.embeddingModel?.name ||
+      Object.keys(embeddingModelProviders[embeddingModelProvider])[0];
+
+    let llm: BaseChatModel | undefined;
+    let embeddings: Embeddings | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        modelName: body.chatModel?.name || getCustomOpenaiModelName(),
+        openAIApiKey:
+          body.chatModel?.customOpenAIKey || getCustomOpenaiApiKey(),
+        temperature: 0.7,
+        configuration: {
+          baseURL:
+            body.chatModel?.customOpenAIBaseURL || getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (
+      chatModelProviders[chatModelProvider] &&
+      chatModelProviders[chatModelProvider][chatModel]
+    ) {
+      llm = chatModelProviders[chatModelProvider][chatModel]
+        .model as unknown as BaseChatModel | undefined;
+    }
+
+    if (
+      embeddingModelProviders[embeddingModelProvider] &&
+      embeddingModelProviders[embeddingModelProvider][embeddingModel]
+    ) {
+      embeddings = embeddingModelProviders[embeddingModelProvider][
+        embeddingModel
+      ].model as Embeddings | undefined;
+    }
+
+    if (!llm || !embeddings) {
+      return Response.json(
+        { message: 'Invalid model selected' },
+        { status: 400 },
+      );
+    }
+
+    const searchHandler: MetaSearchAgentType = searchHandlers[body.focusMode];
+
+    if (!searchHandler) {
+      return Response.json({ message: 'Invalid focus mode' }, { status: 400 });
+    }
+
+    const emitter = await searchHandler.searchAndAnswer(
+      body.query,
+      history,
+      llm,
+      embeddings,
+      body.optimizationMode,
+      [],
+    );
+
+    return new Promise(
+      (
+        resolve: (value: Response) => void,
+        reject: (value: Response) => void,
+      ) => {
+        let message = '';
+        let sources: any[] = [];
+
+        emitter.on('data', (data) => {
+          try {
+            const parsedData = JSON.parse(data);
+            if (parsedData.type === 'response') {
+              message += parsedData.data;
+            } else if (parsedData.type === 'sources') {
+              sources = parsedData.data;
+            }
+          } catch (error) {
+            reject(
+              Response.json({ message: 'Error parsing data' }, { status: 500 }),
+            );
+          }
+        });
+
+        emitter.on('end', () => {
+          resolve(Response.json({ message, sources }, { status: 200 }));
+        });
+
+        emitter.on('error', (error) => {
+          reject(
+            Response.json({ message: 'Search error', error }, { status: 500 }),
+          );
+        });
+      },
+    );
+  } catch (err: any) {
+    console.error(`Error in getting search results: ${err.message}`);
+    return Response.json(
+      { message: 'An error has occurred.' },
+      { status: 500 },
+    );
+  }
+};

src/components/MessageBox.tsx

@@ -12,13 +12,18 @@ import {
   Layers3,
   Plus,
 } from 'lucide-react';
-import Markdown from 'markdown-to-jsx';
+import Markdown, { MarkdownToJSX } from 'markdown-to-jsx';
 import Copy from './MessageActions/Copy';
 import Rewrite from './MessageActions/Rewrite';
 import MessageSources from './MessageSources';
 import SearchImages from './SearchImages';
 import SearchVideos from './SearchVideos';
 import { useSpeech } from 'react-text-to-speech';
+import ThinkBox from './ThinkBox';
+
+const ThinkTagProcessor = ({ children }: { children: React.ReactNode }) => {
+  return <ThinkBox content={children as string} />;
+};
 
 const MessageBox = ({
   message,
@@ -44,27 +49,48 @@ const MessageBox = ({
 
   useEffect(() => {
     const regex = /\[(\d+)\]/g;
+    let processedMessage = message.content;
+
+    if (message.role === 'assistant' && message.content.includes('<think>')) {
+      const openThinkTag = processedMessage.match(/<think>/g)?.length || 0;
+      const closeThinkTag = processedMessage.match(/<\/think>/g)?.length || 0;
+
+      if (openThinkTag > closeThinkTag) {
+        processedMessage += '</think> <a> </a>'; // The extra <a> </a> is to prevent the the think component from looking bad
+      }
+    }
 
     if (
       message.role === 'assistant' &&
       message?.sources &&
       message.sources.length > 0
     ) {
-      return setParsedMessage(
-        message.content.replace(
+      setParsedMessage(
+        processedMessage.replace(
           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>`,
+            `<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>`,
         ),
       );
+      return;
     }
 
     setSpeechMessage(message.content.replace(regex, ''));
-    setParsedMessage(message.content);
+    setParsedMessage(processedMessage);
   }, [message.content, message.sources, message.role]);
 
   const { speechStatus, start, stop } = useSpeech({ text: speechMessage });
 
+  const markdownOverrides: MarkdownToJSX.Options = {
+    overrides: {
+      think: {
+        component: ThinkTagProcessor,
+      },
+    },
+  };
+
   return (
     <div>
       {message.role === 'user' && (
@@ -111,11 +137,13 @@ const MessageBox = ({
                   Answer
                 </h3>
               </div>
+
               <Markdown
                 className={cn(
                   'prose prose-h1:mb-3 prose-h2:mb-2 prose-h2:mt-6 prose-h2:font-[800] prose-h3:mt-4 prose-h3:mb-1.5 prose-h3:font-[600] dark:prose-invert prose-p:leading-relaxed prose-pre:p-0 font-[400]',
                   'max-w-none break-words text-black dark:text-white',
                 )}
+                options={markdownOverrides}
               >
                 {parsedMessage}
               </Markdown>

src/components/Sidebar.tsx

@@ -16,8 +16,6 @@ const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
 const Sidebar = ({ children }: { children: React.ReactNode }) => {
   const segments = useSelectedLayoutSegments();
 
-  const [isSettingsOpen, setIsSettingsOpen] = useState(false);
-
   const navLinks = [
     {
       icon: Home,

src/components/ThinkBox.tsx

@@ -0,0 +1,43 @@
+'use client';
+
+import { useState } from 'react';
+import { cn } from '@/lib/utils';
+import { ChevronDown, ChevronUp, BrainCircuit } from 'lucide-react';
+
+interface ThinkBoxProps {
+  content: string;
+}
+
+const ThinkBox = ({ content }: ThinkBoxProps) => {
+  const [isExpanded, setIsExpanded] = useState(false);
+
+  return (
+    <div className="my-4 bg-light-secondary/50 dark:bg-dark-secondary/50 rounded-xl border border-light-200 dark:border-dark-200 overflow-hidden">
+      <button
+        onClick={() => setIsExpanded(!isExpanded)}
+        className="w-full flex items-center justify-between px-4 py-1 text-black/90 dark:text-white/90 hover:bg-light-200 dark:hover:bg-dark-200 transition duration-200"
+      >
+        <div className="flex items-center space-x-2">
+          <BrainCircuit
+            size={20}
+            className="text-[#9C27B0] dark:text-[#CE93D8]"
+          />
+          <p className="font-medium text-sm">Thinking Process</p>
+        </div>
+        {isExpanded ? (
+          <ChevronUp size={18} className="text-black/70 dark:text-white/70" />
+        ) : (
+          <ChevronDown size={18} className="text-black/70 dark:text-white/70" />
+        )}
+      </button>
+
+      {isExpanded && (
+        <div className="px-4 py-3 text-black/80 dark:text-white/80 text-sm border-t border-light-200 dark:border-dark-200 bg-light-100/50 dark:bg-dark-100/50 whitespace-pre-wrap">
+          {content}
+        </div>
+      )}
+    </div>
+  );
+};
+
+export default ThinkBox;

src/lib/chains/imageSearchAgent.ts

@@ -58,6 +58,8 @@ const createImageSearchChain = (llm: BaseChatModel) => {
     llm,
     strParser,
     RunnableLambda.from(async (input: string) => {
+      input = input.replace(/<think>.*?<\/think>/g, '');
+
       const res = await searchSearxng(input, {
         engines: ['bing images', 'google images'],
       });

src/lib/chains/videoSearchAgent.ts

@@ -59,6 +59,8 @@ const createVideoSearchChain = (llm: BaseChatModel) => {
     llm,
     strParser,
     RunnableLambda.from(async (input: string) => {
+      input = input.replace(/<think>.*?<\/think>/g, '');
+
       const res = await searchSearxng(input, {
         engines: ['youtube'],
       });

src/lib/config.ts

@@ -6,7 +6,6 @@ const configFileName = 'config.toml';
 
 interface Config {
   GENERAL: {
-    PORT: number;
     SIMILARITY_MEASURE: string;
     KEEP_ALIVE: string;
   };
@@ -46,8 +45,6 @@ const loadConfig = () =>
     fs.readFileSync(path.join(process.cwd(), `${configFileName}`), 'utf-8'),
   ) as any as Config;
 
-export const getPort = () => loadConfig().GENERAL.PORT;
-
 export const getSimilarityMeasure = () =>
   loadConfig().GENERAL.SIMILARITY_MEASURE;
 
@@ -62,7 +59,7 @@ export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
 export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
 
 export const getSearxngApiEndpoint = () =>
-  loadConfig().API_ENDPOINTS.SEARXNG || process.env.SEARXNG_API_URL;
+  process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
 
 export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
 

src/lib/huggingfaceTransformer.ts

@@ -0,0 +1,82 @@
+import { Embeddings, type EmbeddingsParams } from '@langchain/core/embeddings';
+import { chunkArray } from '@langchain/core/utils/chunk_array';
+
+export interface HuggingFaceTransformersEmbeddingsParams
+  extends EmbeddingsParams {
+  modelName: string;
+
+  model: string;
+
+  timeout?: number;
+
+  batchSize?: number;
+
+  stripNewLines?: boolean;
+}
+
+export class HuggingFaceTransformersEmbeddings
+  extends Embeddings
+  implements HuggingFaceTransformersEmbeddingsParams
+{
+  modelName = 'Xenova/all-MiniLM-L6-v2';
+
+  model = 'Xenova/all-MiniLM-L6-v2';
+
+  batchSize = 512;
+
+  stripNewLines = true;
+
+  timeout?: number;
+
+  private pipelinePromise: Promise<any> | undefined;
+
+  constructor(fields?: Partial<HuggingFaceTransformersEmbeddingsParams>) {
+    super(fields ?? {});
+
+    this.modelName = fields?.model ?? fields?.modelName ?? this.model;
+    this.model = this.modelName;
+    this.stripNewLines = fields?.stripNewLines ?? this.stripNewLines;
+    this.timeout = fields?.timeout;
+  }
+
+  async embedDocuments(texts: string[]): Promise<number[][]> {
+    const batches = chunkArray(
+      this.stripNewLines ? texts.map((t) => t.replace(/\n/g, ' ')) : texts,
+      this.batchSize,
+    );
+
+    const batchRequests = batches.map((batch) => this.runEmbedding(batch));
+    const batchResponses = await Promise.all(batchRequests);
+    const embeddings: number[][] = [];
+
+    for (let i = 0; i < batchResponses.length; i += 1) {
+      const batchResponse = batchResponses[i];
+      for (let j = 0; j < batchResponse.length; j += 1) {
+        embeddings.push(batchResponse[j]);
+      }
+    }
+
+    return embeddings;
+  }
+
+  async embedQuery(text: string): Promise<number[]> {
+    const data = await this.runEmbedding([
+      this.stripNewLines ? text.replace(/\n/g, ' ') : text,
+    ]);
+    return data[0];
+  }
+
+  private async runEmbedding(texts: string[]) {
+    const { pipeline } = await import('@xenova/transformers');
+
+    const pipe = await (this.pipelinePromise ??= pipeline(
+      'feature-extraction',
+      this.model,
+    ));
+
+    return this.caller.call(async () => {
+      const output = await pipe(texts, { pooling: 'mean', normalize: true });
+      return output.tolist();
+    });
+  }
+}

src/lib/providers/groq.ts

@@ -48,10 +48,6 @@ const groqChatModels: Record<string, string>[] = [
     displayName: 'DeepSeek R1 Distill Qwen 32B (Preview)',
     key: 'deepseek-r1-distill-qwen-32b',
   },
-  {
-    displayName: 'DeepSeek R1 Distill Llama 70B SpecDec (Preview)',
-    key: 'deepseek-r1-distill-llama-70b-specdec',
-  },
   {
     displayName: 'DeepSeek R1 Distill Llama 70B (Preview)',
     key: 'deepseek-r1-distill-llama-70b',

src/lib/providers/index.ts

@@ -11,6 +11,7 @@ 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;
@@ -40,6 +41,7 @@ export const embeddingModelProviders: Record<
   openai: loadOpenAIEmbeddingModels,
   ollama: loadOllamaEmbeddingModels,
   gemini: loadGeminiEmbeddingModels,
+  transformers: loadTransformersEmbeddingsModels,
 };
 
 export const getAvailableChatModelProviders = async () => {

src/lib/providers/transformers.ts

@@ -0,0 +1,31 @@
+import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
+
+export const loadTransformersEmbeddingsModels = async () => {
+  try {
+    const embeddingModels = {
+      'xenova-bge-small-en-v1.5': {
+        displayName: 'BGE Small',
+        model: new HuggingFaceTransformersEmbeddings({
+          modelName: 'Xenova/bge-small-en-v1.5',
+        }),
+      },
+      'xenova-gte-small': {
+        displayName: 'GTE Small',
+        model: new HuggingFaceTransformersEmbeddings({
+          modelName: 'Xenova/gte-small',
+        }),
+      },
+      'xenova-bert-base-multilingual-uncased': {
+        displayName: 'Bert Multilingual',
+        model: new HuggingFaceTransformersEmbeddings({
+          modelName: 'Xenova/bert-base-multilingual-uncased',
+        }),
+      },
+    };
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading Transformers embeddings model: ${err}`);
+    return {};
+  }
+};

src/lib/search/index.ts

@@ -0,0 +1,59 @@
+import MetaSearchAgent from '@/lib/search/metaSearchAgent';
+import prompts from '../prompts';
+
+export const searchHandlers: Record<string, MetaSearchAgent> = {
+  webSearch: new MetaSearchAgent({
+    activeEngines: [],
+    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
+    responsePrompt: prompts.webSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0.3,
+    searchWeb: true,
+    summarizer: true,
+  }),
+  academicSearch: new MetaSearchAgent({
+    activeEngines: ['arxiv', 'google scholar', 'pubmed'],
+    queryGeneratorPrompt: prompts.academicSearchRetrieverPrompt,
+    responsePrompt: prompts.academicSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0,
+    searchWeb: true,
+    summarizer: false,
+  }),
+  writingAssistant: new MetaSearchAgent({
+    activeEngines: [],
+    queryGeneratorPrompt: '',
+    responsePrompt: prompts.writingAssistantPrompt,
+    rerank: true,
+    rerankThreshold: 0,
+    searchWeb: false,
+    summarizer: false,
+  }),
+  wolframAlphaSearch: new MetaSearchAgent({
+    activeEngines: ['wolframalpha'],
+    queryGeneratorPrompt: prompts.wolframAlphaSearchRetrieverPrompt,
+    responsePrompt: prompts.wolframAlphaSearchResponsePrompt,
+    rerank: false,
+    rerankThreshold: 0,
+    searchWeb: true,
+    summarizer: false,
+  }),
+  youtubeSearch: new MetaSearchAgent({
+    activeEngines: ['youtube'],
+    queryGeneratorPrompt: prompts.youtubeSearchRetrieverPrompt,
+    responsePrompt: prompts.youtubeSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0.3,
+    searchWeb: true,
+    summarizer: false,
+  }),
+  redditSearch: new MetaSearchAgent({
+    activeEngines: ['reddit'],
+    queryGeneratorPrompt: prompts.redditSearchRetrieverPrompt,
+    responsePrompt: prompts.redditSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0.3,
+    searchWeb: true,
+    summarizer: false,
+  }),
+};

src/lib/search/metaSearchAgent.ts

@@ -202,6 +202,8 @@ class MetaSearchAgent implements MetaSearchAgentType {
 
           return { query: question, docs: docs };
         } else {
+          question = question.replace(/<think>.*?<\/think>/g, '');
+
           const res = await searchSearxng(question, {
             language: 'en',
             engines: this.config.activeEngines,

yarn.lock

@@ -384,6 +384,11 @@
     "@react-aria/interactions" "^3.21.3"
     "@tanstack/react-virtual" "^3.8.1"
 
+"@huggingface/jinja@^0.2.2":
+  version "0.2.2"
+  resolved "https://registry.yarnpkg.com/@huggingface/jinja/-/jinja-0.2.2.tgz#faeb205a9d6995089bef52655ddd8245d3190627"
+  integrity sha512-/KPde26khDUIPkTGU82jdtTW9UAuvUTumCAbFs/7giR0SxsvZC4hru51PBvpijH6BVkHcROcvZM/lpy5h1jRRA==
+
 "@humanwhocodes/config-array@^0.11.14":
   version "0.11.14"
   resolved "https://registry.yarnpkg.com/@humanwhocodes/config-array/-/config-array-0.11.14.tgz#d78e481a039f7566ecc9660b4ea7fe6b1fec442b"
@@ -757,6 +762,59 @@
   resolved "https://registry.yarnpkg.com/@pkgjs/parseargs/-/parseargs-0.11.0.tgz#a77ea742fab25775145434eb1d2328cf5013ac33"
   integrity sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==
 
+"@protobufjs/aspromise@^1.1.1", "@protobufjs/aspromise@^1.1.2":
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/@protobufjs/aspromise/-/aspromise-1.1.2.tgz#9b8b0cc663d669a7d8f6f5d0893a14d348f30fbf"
+  integrity sha512-j+gKExEuLmKwvz3OgROXtrJ2UG2x8Ch2YZUxahh+s1F2HZ+wAceUNLkvy6zKCPVRkU++ZWQrdxsUeQXmcg4uoQ==
+
+"@protobufjs/base64@^1.1.2":
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/@protobufjs/base64/-/base64-1.1.2.tgz#4c85730e59b9a1f1f349047dbf24296034bb2735"
+  integrity sha512-AZkcAA5vnN/v4PDqKyMR5lx7hZttPDgClv83E//FMNhR2TMcLUhfRUBHCmSl0oi9zMgDDqRUJkSxO3wm85+XLg==
+
+"@protobufjs/codegen@^2.0.4":
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/@protobufjs/codegen/-/codegen-2.0.4.tgz#7ef37f0d010fb028ad1ad59722e506d9262815cb"
+  integrity sha512-YyFaikqM5sH0ziFZCN3xDC7zeGaB/d0IUb9CATugHWbd1FRFwWwt4ld4OYMPWu5a3Xe01mGAULCdqhMlPl29Jg==
+
+"@protobufjs/eventemitter@^1.1.0":
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/@protobufjs/eventemitter/-/eventemitter-1.1.0.tgz#355cbc98bafad5978f9ed095f397621f1d066b70"
+  integrity sha512-j9ednRT81vYJ9OfVuXG6ERSTdEL1xVsNgqpkxMsbIabzSo3goCjDIveeGv5d03om39ML71RdmrGNjG5SReBP/Q==
+
+"@protobufjs/fetch@^1.1.0":
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/@protobufjs/fetch/-/fetch-1.1.0.tgz#ba99fb598614af65700c1619ff06d454b0d84c45"
+  integrity sha512-lljVXpqXebpsijW71PZaCYeIcE5on1w5DlQy5WH6GLbFryLUrBD4932W/E2BSpfRJWseIL4v/KPgBFxDOIdKpQ==
+  dependencies:
+    "@protobufjs/aspromise" "^1.1.1"
+    "@protobufjs/inquire" "^1.1.0"
+
+"@protobufjs/float@^1.0.2":
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/@protobufjs/float/-/float-1.0.2.tgz#5e9e1abdcb73fc0a7cb8b291df78c8cbd97b87d1"
+  integrity sha512-Ddb+kVXlXst9d+R9PfTIxh1EdNkgoRe5tOX6t01f1lYWOvJnSPDBlG241QLzcyPdoNTsblLUdujGSE4RzrTZGQ==
+
+"@protobufjs/inquire@^1.1.0":
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/@protobufjs/inquire/-/inquire-1.1.0.tgz#ff200e3e7cf2429e2dcafc1140828e8cc638f089"
+  integrity sha512-kdSefcPdruJiFMVSbn801t4vFK7KB/5gd2fYvrxhuJYg8ILrmn9SKSX2tZdV6V+ksulWqS7aXjBcRXl3wHoD9Q==
+
+"@protobufjs/path@^1.1.2":
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/@protobufjs/path/-/path-1.1.2.tgz#6cc2b20c5c9ad6ad0dccfd21ca7673d8d7fbf68d"
+  integrity sha512-6JOcJ5Tm08dOHAbdR3GrvP+yUUfkjG5ePsHYczMFLq3ZmMkAD98cDgcT2iA1lJ9NVwFd4tH/iSSoe44YWkltEA==
+
+"@protobufjs/pool@^1.1.0":
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/@protobufjs/pool/-/pool-1.1.0.tgz#09fd15f2d6d3abfa9b65bc366506d6ad7846ff54"
+  integrity sha512-0kELaGSIDBKvcgS4zkjz1PeddatrjYcmMWOlAuAPwAeccUrPHdUqo/J6LiymHHEiJT5NrF1UVwxY14f+fy4WQw==
+
+"@protobufjs/utf8@^1.1.0":
+  version "1.1.0"
+  resolved "https://registry.yarnpkg.com/@protobufjs/utf8/-/utf8-1.1.0.tgz#a777360b5b39a1a2e5106f8e858f2fd2d060c570"
+  integrity sha512-Vvn3zZrhQZkkBE8LSuW3em98c0FwgO4nxzv6OdSxPKJIEKY2bGbHn+mhGIPerzI4twdxaP8/0+06HBpwf345Lw==
+
 "@react-aria/focus@^3.17.1":
   version "3.18.4"
   resolved "https://registry.yarnpkg.com/@react-aria/focus/-/focus-3.18.4.tgz#a6e95896bc8680d1b5bcd855e983fc2c195a1a55"
@@ -872,6 +930,11 @@
   resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
   integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
 
+"@types/long@^4.0.1":
+  version "4.0.2"
+  resolved "https://registry.yarnpkg.com/@types/long/-/long-4.0.2.tgz#b74129719fc8d11c01868010082d483b7545591a"
+  integrity sha512-MqTGEo5bj5t157U6fA/BiDynNkn0YknVdh48CMPkTSpFTVmvao5UQmm7uEF6xBEo7qIMAlY/JSleYaE6VOdpaA==
+
 "@types/node-fetch@^2.6.4":
   version "2.6.11"
   resolved "https://registry.yarnpkg.com/@types/node-fetch/-/node-fetch-2.6.11.tgz#9b39b78665dae0e82a08f02f4967d62c66f95d24"
@@ -887,6 +950,13 @@
   dependencies:
     undici-types "~5.26.4"
 
+"@types/node@>=13.7.0":
+  version "22.13.10"
+  resolved "https://registry.yarnpkg.com/@types/node/-/node-22.13.10.tgz#df9ea358c5ed991266becc3109dc2dc9125d77e4"
+  integrity sha512-I6LPUvlRH+O6VRUqYOcMudhaIdUVWfsjnZavnsraHvpBwaEyMN29ry+0UVJhImYL16xsscu0aske3yA+uPOWfw==
+  dependencies:
+    undici-types "~6.20.0"
+
 "@types/node@^18.11.18":
   version "18.19.30"
   resolved "https://registry.yarnpkg.com/@types/node/-/node-18.19.30.tgz#0b1e6f824ed7ce37ef6e56f8f0d7d0ec2847b327"
@@ -990,6 +1060,17 @@
   resolved "https://registry.yarnpkg.com/@ungap/structured-clone/-/structured-clone-1.2.0.tgz#756641adb587851b5ccb3e095daf27ae581c8406"
   integrity sha512-zuVdFrMJiuCDQUMCzQaD6KL28MjnqqN8XnAqiEq9PNm/hCPTSGfrXCOfwj1ow4LFb/tNymJPwsNbVePc1xFqrQ==
 
+"@xenova/transformers@^2.17.2":
+  version "2.17.2"
+  resolved "https://registry.yarnpkg.com/@xenova/transformers/-/transformers-2.17.2.tgz#7448d73b90f67bced66f39fe2dd656adc891fde5"
+  integrity sha512-lZmHqzrVIkSvZdKZEx7IYY51TK0WDrC8eR0c5IMnBsO8di8are1zzw8BlLhyO2TklZKLN5UffNGs1IJwT6oOqQ==
+  dependencies:
+    "@huggingface/jinja" "^0.2.2"
+    onnxruntime-web "1.14.0"
+    sharp "^0.32.0"
+  optionalDependencies:
+    onnxruntime-node "1.14.0"
+
 abort-controller@^3.0.0:
   version "3.0.0"
   resolved "https://registry.yarnpkg.com/abort-controller/-/abort-controller-3.0.0.tgz#eaf54d53b62bae4138e809ca225c8439a6efb392"
@@ -1240,11 +1321,49 @@ axobject-query@^3.2.1:
   dependencies:
     dequal "^2.0.3"
 
+b4a@^1.6.4:
+  version "1.6.7"
+  resolved "https://registry.yarnpkg.com/b4a/-/b4a-1.6.7.tgz#a99587d4ebbfbd5a6e3b21bdb5d5fa385767abe4"
+  integrity sha512-OnAYlL5b7LEkALw87fUVafQw5rVR9RjwGd4KUwNQ6DrrNmaVaUCgLipfVlzrPQ4tWOR9P0IXGNOx50jYCCdSJg==
+
 balanced-match@^1.0.0:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/balanced-match/-/balanced-match-1.0.2.tgz#e83e3a7e3f300b34cb9d87f615fa0cbf357690ee"
   integrity sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==
 
+bare-events@^2.0.0, bare-events@^2.2.0:
+  version "2.5.4"
+  resolved "https://registry.yarnpkg.com/bare-events/-/bare-events-2.5.4.tgz#16143d435e1ed9eafd1ab85f12b89b3357a41745"
+  integrity sha512-+gFfDkR8pj4/TrWCGUGWmJIkBwuxPS5F+a5yWjOHQt2hHvNZd5YLzadjmDUtFmMM4y429bnKLa8bYBMHcYdnQA==
+
+bare-fs@^4.0.1:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/bare-fs/-/bare-fs-4.0.1.tgz#85844f34da819c76754d545323a8b23ed3617c76"
+  integrity sha512-ilQs4fm/l9eMfWY2dY0WCIUplSUp7U0CT1vrqMg1MUdeZl4fypu5UP0XcDBK5WBQPJAKP1b7XEodISmekH/CEg==
+  dependencies:
+    bare-events "^2.0.0"
+    bare-path "^3.0.0"
+    bare-stream "^2.0.0"
+
+bare-os@^3.0.1:
+  version "3.6.0"
+  resolved "https://registry.yarnpkg.com/bare-os/-/bare-os-3.6.0.tgz#1465dd7e1bebe0dec230097a23ad00f7db51f957"
+  integrity sha512-BUrFS5TqSBdA0LwHop4OjPJwisqxGy6JsWVqV6qaFoe965qqtaKfDzHY5T2YA1gUL0ZeeQeA+4BBc1FJTcHiPw==
+
+bare-path@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/bare-path/-/bare-path-3.0.0.tgz#b59d18130ba52a6af9276db3e96a2e3d3ea52178"
+  integrity sha512-tyfW2cQcB5NN8Saijrhqn0Zh7AnFNsnczRcuWODH0eYAXBsJ5gVxAUuNr7tsHSC6IZ77cA0SitzT+s47kot8Mw==
+  dependencies:
+    bare-os "^3.0.1"
+
+bare-stream@^2.0.0:
+  version "2.6.5"
+  resolved "https://registry.yarnpkg.com/bare-stream/-/bare-stream-2.6.5.tgz#bba8e879674c4c27f7e27805df005c15d7a2ca07"
+  integrity sha512-jSmxKJNJmHySi6hC42zlZnq00rga4jjxcgNZjY9N5WlOe/iOoGRtdwGsHzQv2RlH2KOYMwGUXhf2zXd32BA9RA==
+  dependencies:
+    streamx "^2.21.0"
+
 base-64@^0.1.0:
   version "0.1.0"
   resolved "https://registry.yarnpkg.com/base-64/-/base-64-0.1.0.tgz#780a99c84e7d600260361511c4877613bf24f6bb"
@@ -1661,7 +1780,7 @@ dequal@^2.0.3:
   resolved "https://registry.yarnpkg.com/dequal/-/dequal-2.0.3.tgz#2644214f1997d39ed0ee0ece72335490a7ac67be"
   integrity sha512-0je+qPKHEMohvfRTCEo3CrPG6cAzAYgmzKyxRiYSSDkS6eGJdyVJm7WaYA5ECaAD9wLB2T4EEeymA5aFVcYXCA==
 
-detect-libc@^2.0.0, detect-libc@^2.0.3:
+detect-libc@^2.0.0, detect-libc@^2.0.2, detect-libc@^2.0.3:
   version "2.0.3"
   resolved "https://registry.yarnpkg.com/detect-libc/-/detect-libc-2.0.3.tgz#f0cd503b40f9939b894697d19ad50895e30cf700"
   integrity sha512-bwy0MGW55bG41VqxxypOsdSdGqLwXPI/focwgTYCFMbdUiBAxLg9CFzG08sz2aqzknwiX7Hkl0bQENjg8iLByw==
@@ -2224,6 +2343,11 @@ fast-deep-equal@^3.1.1, fast-deep-equal@^3.1.3:
   resolved "https://registry.yarnpkg.com/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz#3a7d56b559d6cbc3eb512325244e619a65c6c525"
   integrity sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==
 
+fast-fifo@^1.2.0, fast-fifo@^1.3.2:
+  version "1.3.2"
+  resolved "https://registry.yarnpkg.com/fast-fifo/-/fast-fifo-1.3.2.tgz#286e31de96eb96d38a97899815740ba2a4f3640c"
+  integrity sha512-/d9sfos4yxzpwkDkuN7k2SqFKtYNmCTzgfEpz82x34IM9/zc8KGxQoXg1liNC/izpRM/MBdt44Nmx41ZWqk+FQ==
+
 fast-glob@^3.2.9, fast-glob@^3.3.0, fast-glob@^3.3.1:
   version "3.3.2"
   resolved "https://registry.yarnpkg.com/fast-glob/-/fast-glob-3.3.2.tgz#a904501e57cfdd2ffcded45e99a54fef55e46129"
@@ -2298,6 +2422,11 @@ flat@^5.0.2:
   resolved "https://registry.yarnpkg.com/flat/-/flat-5.0.2.tgz#8ca6fe332069ffa9d324c327198c598259ceb241"
   integrity sha512-b6suED+5/3rTpUBdG1gupIl8MPFCAMA0QXwmljLhvCUKcUvdE4gWky9zpuGCcXHOsz4J9wPGNWq6OKpmIzz3hQ==
 
+flatbuffers@^1.12.0:
+  version "1.12.0"
+  resolved "https://registry.yarnpkg.com/flatbuffers/-/flatbuffers-1.12.0.tgz#72e87d1726cb1b216e839ef02658aa87dcef68aa"
+  integrity sha512-c7CZADjRcl6j0PlvFy0ZqXQ67qSEZfrVPynmnL+2zPc+NtMvrF8Y0QceMo7QqnSPc7+uWjUIAbvCQ5WIKlMVdQ==
+
 flatted@^3.2.9:
   version "3.3.1"
   resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.3.1.tgz#21db470729a6734d4997002f439cb308987f567a"
@@ -2532,6 +2661,11 @@ graphemer@^1.4.0:
   resolved "https://registry.yarnpkg.com/graphemer/-/graphemer-1.4.0.tgz#fb2f1d55e0e3a1849aeffc90c4fa0dd53a0e66c6"
   integrity sha512-EtKwoO6kxCL9WO5xipiHTZlSzBm7WLT627TqC/uVRd0HKmq8NXyebnNYxDoBi7wt8eTWrUrKXCOVaFq9x1kgag==
 
+guid-typescript@^1.0.9:
+  version "1.0.9"
+  resolved "https://registry.yarnpkg.com/guid-typescript/-/guid-typescript-1.0.9.tgz#e35f77003535b0297ea08548f5ace6adb1480ddc"
+  integrity sha512-Y8T4vYhEfwJOTbouREvG+3XDsjr8E3kIr7uf+JZ0BYloFsttiHU0WfvANVsR7TxNUJa/WpCnw/Ino/p+DeBhBQ==
+
 has-bigints@^1.0.1, has-bigints@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.0.2.tgz#0871bd3e3d51626f6ca0966668ba35d5602d6eaa"
@@ -3112,6 +3246,11 @@ logform@^2.7.0:
     safe-stable-stringify "^2.3.1"
     triple-beam "^1.3.0"
 
+long@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/long/-/long-4.0.0.tgz#9a7b71cfb7d361a194ea555241c92f7468d5bf28"
+  integrity sha512-XsP+KhQif4bjX1kbuSiySJFNAehNxgLb6hPRGJ9QsUr8ajHkuXGdrHmFUTUUXhDwVX2R5bY4JNZEwbUiMhV+MA==
+
 loose-envify@^1.1.0, loose-envify@^1.4.0:
   version "1.4.0"
   resolved "https://registry.yarnpkg.com/loose-envify/-/loose-envify-1.4.0.tgz#71ee51fa7be4caec1a63839f7e682d8132d30caf"
@@ -3331,6 +3470,11 @@ node-abi@^3.3.0:
   dependencies:
     semver "^7.3.5"
 
+node-addon-api@^6.1.0:
+  version "6.1.0"
+  resolved "https://registry.yarnpkg.com/node-addon-api/-/node-addon-api-6.1.0.tgz#ac8470034e58e67d0c6f1204a18ae6995d9c0d76"
+  integrity sha512-+eawOlIgy680F0kBzPUNFhMZGtJ1YmqM6l4+Crf4IkImjYrO/mqPwRMh352g23uIaQKFItcQ64I7KMaJxHgAVA==
+
 node-domexception@1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/node-domexception/-/node-domexception-1.0.0.tgz#6888db46a1f71c0b76b3f7555016b63fe64766e5"
@@ -3458,6 +3602,37 @@ one-time@^1.0.0:
   dependencies:
     fn.name "1.x.x"
 
+onnx-proto@^4.0.4:
+  version "4.0.4"
+  resolved "https://registry.yarnpkg.com/onnx-proto/-/onnx-proto-4.0.4.tgz#2431a25bee25148e915906dda0687aafe3b9e044"
+  integrity sha512-aldMOB3HRoo6q/phyB6QRQxSt895HNNw82BNyZ2CMh4bjeKv7g/c+VpAFtJuEMVfYLMbRx61hbuqnKceLeDcDA==
+  dependencies:
+    protobufjs "^6.8.8"
+
+onnxruntime-common@~1.14.0:
+  version "1.14.0"
+  resolved "https://registry.yarnpkg.com/onnxruntime-common/-/onnxruntime-common-1.14.0.tgz#2bb5dac5261269779aa5fb6536ca379657de8bf6"
+  integrity sha512-3LJpegM2iMNRX2wUmtYfeX/ytfOzNwAWKSq1HbRrKc9+uqG/FsEA0bbKZl1btQeZaXhC26l44NWpNUeXPII7Ew==
+
+onnxruntime-node@1.14.0:
+  version "1.14.0"
+  resolved "https://registry.yarnpkg.com/onnxruntime-node/-/onnxruntime-node-1.14.0.tgz#c4ae6c355cfae7d83abaf36dd39a905c4a010217"
+  integrity sha512-5ba7TWomIV/9b6NH/1x/8QEeowsb+jBEvFzU6z0T4mNsFwdPqXeFUM7uxC6QeSRkEbWu3qEB0VMjrvzN/0S9+w==
+  dependencies:
+    onnxruntime-common "~1.14.0"
+
+onnxruntime-web@1.14.0:
+  version "1.14.0"
+  resolved "https://registry.yarnpkg.com/onnxruntime-web/-/onnxruntime-web-1.14.0.tgz#c8cee538781b1d4c1c6b043934f4a3e6ddf1466e"
+  integrity sha512-Kcqf43UMfW8mCydVGcX9OMXI2VN17c0p6XvR7IPSZzBf/6lteBzXHvcEVWDPmCKuGombl997HgLqj91F11DzXw==
+  dependencies:
+    flatbuffers "^1.12.0"
+    guid-typescript "^1.0.9"
+    long "^4.0.0"
+    onnx-proto "^4.0.4"
+    onnxruntime-common "~1.14.0"
+    platform "^1.3.6"
+
 openai@^4.26.0, openai@^4.32.1:
   version "4.33.0"
   resolved "https://registry.yarnpkg.com/openai/-/openai-4.33.0.tgz#8c33da687d4a7f3dd7576179318341615394c79d"
@@ -3625,6 +3800,11 @@ pirates@^4.0.1:
   resolved "https://registry.yarnpkg.com/pirates/-/pirates-4.0.6.tgz#3018ae32ecfcff6c29ba2267cbf21166ac1f36b9"
   integrity sha512-saLsH7WeYYPiD25LDuLRRY/i+6HaPYr6G1OUlN39otzkSTxKnubR9RTxS3/Kk50s1g2JTgFwWQDQyplC5/SHZg==
 
+platform@^1.3.6:
+  version "1.3.6"
+  resolved "https://registry.yarnpkg.com/platform/-/platform-1.3.6.tgz#48b4ce983164b209c2d45a107adb31f473a6e7a7"
+  integrity sha512-fnWVljUchTro6RiCFvCXBbNhJc2NijN7oIQxbwsyL0buWJPG85v81ehlHI9fXrJsMNgTofEoWIQeClKpgxFLrg==
+
 possible-typed-array-names@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/possible-typed-array-names/-/possible-typed-array-names-1.0.0.tgz#89bb63c6fada2c3e90adc4a647beeeb39cc7bf8f"
@@ -3737,6 +3917,25 @@ prop-types@^15.8.1:
     object-assign "^4.1.1"
     react-is "^16.13.1"
 
+protobufjs@^6.8.8:
+  version "6.11.4"
+  resolved "https://registry.yarnpkg.com/protobufjs/-/protobufjs-6.11.4.tgz#29a412c38bf70d89e537b6d02d904a6f448173aa"
+  integrity sha512-5kQWPaJHi1WoCpjTGszzQ32PG2F4+wRY6BmAT4Vfw56Q2FZ4YZzK20xUYQH4YkfehY1e6QSICrJquM6xXZNcrw==
+  dependencies:
+    "@protobufjs/aspromise" "^1.1.2"
+    "@protobufjs/base64" "^1.1.2"
+    "@protobufjs/codegen" "^2.0.4"
+    "@protobufjs/eventemitter" "^1.1.0"
+    "@protobufjs/fetch" "^1.1.0"
+    "@protobufjs/float" "^1.0.2"
+    "@protobufjs/inquire" "^1.1.0"
+    "@protobufjs/path" "^1.1.2"
+    "@protobufjs/pool" "^1.1.0"
+    "@protobufjs/utf8" "^1.1.0"
+    "@types/long" "^4.0.1"
+    "@types/node" ">=13.7.0"
+    long "^4.0.0"
+
 proxy-from-env@^1.1.0:
   version "1.1.0"
   resolved "https://registry.yarnpkg.com/proxy-from-env/-/proxy-from-env-1.1.0.tgz#e102f16ca355424865755d2c9e8ea4f24d58c3e2"
@@ -3989,6 +4188,20 @@ set-function-name@^2.0.1, set-function-name@^2.0.2:
     functions-have-names "^1.2.3"
     has-property-descriptors "^1.0.2"
 
+sharp@^0.32.0:
+  version "0.32.6"
+  resolved "https://registry.yarnpkg.com/sharp/-/sharp-0.32.6.tgz#6ad30c0b7cd910df65d5f355f774aa4fce45732a"
+  integrity sha512-KyLTWwgcR9Oe4d9HwCwNM2l7+J0dUQwn/yf7S0EnTtb0eVS4RxO0eUSvxPtzT4F3SY+C4K6fqdv/DO27sJ/v/w==
+  dependencies:
+    color "^4.2.3"
+    detect-libc "^2.0.2"
+    node-addon-api "^6.1.0"
+    prebuild-install "^7.1.1"
+    semver "^7.5.4"
+    simple-get "^4.0.1"
+    tar-fs "^3.0.4"
+    tunnel-agent "^0.6.0"
+
 sharp@^0.33.5:
   version "0.33.5"
   resolved "https://registry.yarnpkg.com/sharp/-/sharp-0.33.5.tgz#13e0e4130cc309d6a9497596715240b2ec0c594e"
@@ -4055,7 +4268,7 @@ simple-concat@^1.0.0:
   resolved "https://registry.yarnpkg.com/simple-concat/-/simple-concat-1.0.1.tgz#f46976082ba35c2263f1c8ab5edfe26c41c9552f"
   integrity sha512-cSFtAPtRhljv69IK0hTVZQ+OfE9nePi/rtJmw5UjHeVyVroEqJXP1sFztKUy1qU+xvz3u/sfYJLa947b7nAN2Q==
 
-simple-get@^4.0.0:
+simple-get@^4.0.0, simple-get@^4.0.1:
   version "4.0.1"
   resolved "https://registry.yarnpkg.com/simple-get/-/simple-get-4.0.1.tgz#4a39db549287c979d352112fa03fd99fd6bc3543"
   integrity sha512-brv7p5WgH0jmQJr1ZDDfKDOSeWWg+OVypG99A/5vYGPqJ6pxiaHLy8nxtFjBA7oMa01ebA9gfh1uMCFqOuXxvA==
@@ -4119,6 +4332,16 @@ streamsearch@^1.1.0:
   resolved "https://registry.yarnpkg.com/streamsearch/-/streamsearch-1.1.0.tgz#404dd1e2247ca94af554e841a8ef0eaa238da764"
   integrity sha512-Mcc5wHehp9aXz1ax6bZUyY5afg9u2rv5cqQI3mRrYkGC8rW2hM02jWuwjtL++LS5qinSyhj2QfLyNsuc+VsExg==
 
+streamx@^2.15.0, streamx@^2.21.0:
+  version "2.22.0"
+  resolved "https://registry.yarnpkg.com/streamx/-/streamx-2.22.0.tgz#cd7b5e57c95aaef0ff9b2aef7905afa62ec6e4a7"
+  integrity sha512-sLh1evHOzBy/iWRiR6d1zRcLao4gGZr3C1kzNz4fopCOKJb6xD9ub8Mpi9Mr1R6id5o43S+d93fI48UC5uM9aw==
+  dependencies:
+    fast-fifo "^1.3.2"
+    text-decoder "^1.1.0"
+  optionalDependencies:
+    bare-events "^2.2.0"
+
 "string-width-cjs@npm:string-width@^4.2.0":
   version "4.2.3"
   resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
@@ -4322,6 +4545,17 @@ tar-fs@^2.0.0:
     pump "^3.0.0"
     tar-stream "^2.1.4"
 
+tar-fs@^3.0.4:
+  version "3.0.8"
+  resolved "https://registry.yarnpkg.com/tar-fs/-/tar-fs-3.0.8.tgz#8f62012537d5ff89252d01e48690dc4ebed33ab7"
+  integrity sha512-ZoROL70jptorGAlgAYiLoBLItEKw/fUxg9BSYK/dF/GAGYFJOJJJMvjPAKDJraCXFwadD456FCuvLWgfhMsPwg==
+  dependencies:
+    pump "^3.0.0"
+    tar-stream "^3.1.5"
+  optionalDependencies:
+    bare-fs "^4.0.1"
+    bare-path "^3.0.0"
+
 tar-stream@^2.1.4:
   version "2.2.0"
   resolved "https://registry.yarnpkg.com/tar-stream/-/tar-stream-2.2.0.tgz#acad84c284136b060dc3faa64474aa9aebd77287"
@@ -4333,6 +4567,22 @@ tar-stream@^2.1.4:
     inherits "^2.0.3"
     readable-stream "^3.1.1"
 
+tar-stream@^3.1.5:
+  version "3.1.7"
+  resolved "https://registry.yarnpkg.com/tar-stream/-/tar-stream-3.1.7.tgz#24b3fb5eabada19fe7338ed6d26e5f7c482e792b"
+  integrity sha512-qJj60CXt7IU1Ffyc3NJMjh6EkuCFej46zUqJ4J7pqYlThyd9bO0XBTmcOIhSzZJVWfsLks0+nle/j538YAW9RQ==
+  dependencies:
+    b4a "^1.6.4"
+    fast-fifo "^1.2.0"
+    streamx "^2.15.0"
+
+text-decoder@^1.1.0:
+  version "1.2.3"
+  resolved "https://registry.yarnpkg.com/text-decoder/-/text-decoder-1.2.3.tgz#b19da364d981b2326d5f43099c310cc80d770c65"
+  integrity sha512-3/o9z3X0X0fTupwsYvR03pJ/DjWuqqrfwBgTQzdWDiQSm9KitAyz/9WqsT2JQW7KV2m+bC2ol/zqpW37NHxLaA==
+  dependencies:
+    b4a "^1.6.4"
+
 text-hex@1.0.x:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/text-hex/-/text-hex-1.0.0.tgz#69dc9c1b17446ee79a92bf5b884bb4b9127506f5"
@@ -4482,6 +4732,11 @@ undici-types@~5.26.4:
   resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-5.26.5.tgz#bcd539893d00b56e964fd2657a4866b221a65617"
   integrity sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==
 
+undici-types@~6.20.0:
+  version "6.20.0"
+  resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-6.20.0.tgz#8171bf22c1f588d1554d55bf204bc624af388433"
+  integrity sha512-Ny6QZ2Nju20vw1SRHe3d9jVu6gJ+4e3+MMpqu7pqE5HT6WsTSlce++GQmK5UXS8mzV8DSYHrQH+Xrf2jVcuKNg==
+
 update-browserslist-db@^1.0.13:
   version "1.0.13"
   resolved "https://registry.yarnpkg.com/update-browserslist-db/-/update-browserslist-db-1.0.13.tgz#3c5e4f5c083661bd38ef64b6328c26ed6c8248c4"