feat(groq): switch to @langchain/groq for better handling

.github/workflows/docker-build.yaml

@@ -4,7 +4,6 @@ on:
   push:
     branches:
       - master
-      - canary
   release:
     types: [published]
 
@@ -44,19 +43,6 @@ jobs:
             -t itzcrazykns1337/${IMAGE_NAME}:amd64 \
             --push .
 
-      - name: Build and push AMD64 Canary Docker image
-        if: github.ref == 'refs/heads/canary' && github.event_name == 'push'
-        run: |
-          DOCKERFILE=app.dockerfile
-          IMAGE_NAME=perplexica
-          docker buildx build --platform linux/amd64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:canary-amd64 \
-            --cache-to=type=inline \
-            --provenance false \
-            -f $DOCKERFILE \
-            -t itzcrazykns1337/${IMAGE_NAME}:canary-amd64 \
-            --push .
-
       - name: Build and push AMD64 release Docker image
         if: github.event_name == 'release'
         run: |
@@ -105,19 +91,6 @@ jobs:
             -t itzcrazykns1337/${IMAGE_NAME}:arm64 \
             --push .
 
-      - name: Build and push ARM64 Canary Docker image
-        if: github.ref == 'refs/heads/canary' && github.event_name == 'push'
-        run: |
-          DOCKERFILE=app.dockerfile
-          IMAGE_NAME=perplexica
-          docker buildx build --platform linux/arm64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:canary-arm64 \
-            --cache-to=type=inline \
-            --provenance false \
-            -f $DOCKERFILE \
-            -t itzcrazykns1337/${IMAGE_NAME}:canary-arm64 \
-            --push .
-
       - name: Build and push ARM64 release Docker image
         if: github.event_name == 'release'
         run: |
@@ -155,15 +128,6 @@ jobs:
             --amend itzcrazykns1337/${IMAGE_NAME}:arm64
           docker manifest push itzcrazykns1337/${IMAGE_NAME}:main
 
-      - name: Create and push multi-arch manifest for canary
-        if: github.ref == 'refs/heads/canary' && github.event_name == 'push'
-        run: |
-          IMAGE_NAME=perplexica
-          docker manifest create itzcrazykns1337/${IMAGE_NAME}:canary \
-            --amend itzcrazykns1337/${IMAGE_NAME}:canary-amd64 \
-            --amend itzcrazykns1337/${IMAGE_NAME}:canary-arm64
-          docker manifest push itzcrazykns1337/${IMAGE_NAME}:canary
-
       - name: Create and push multi-arch manifest for releases
         if: github.event_name == 'release'
         run: |

CONTRIBUTING.md

@@ -36,7 +36,7 @@ Before diving into coding, setting up your local environment is key. Here's what
 1. In the root directory, locate the `sample.config.toml` file.
 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:migrate` to set up the local sqlite database.
+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

@@ -29,7 +29,6 @@
   - [Getting Started with Docker (Recommended)](#getting-started-with-docker-recommended)
   - [Non-Docker Installation](#non-docker-installation)
   - [Ollama Connection Errors](#ollama-connection-errors)
-  - [Lemonade Connection Errors](#lemonade-connection-errors)
 - [Using as a Search Engine](#using-as-a-search-engine)
 - [Using Perplexica's API](#using-perplexicas-api)
 - [Expose Perplexica to a network](#expose-perplexica-to-network)
@@ -54,7 +53,7 @@ Want to know more about its architecture and how it works? You can read it [here
 
 ## Features
 
-- **Local LLMs**: You can utilize local LLMs such as Qwen, DeepSeek, Llama, and Mistral.
+- **Local LLMs**: You can make use local LLMs such as Llama3 and Mixtral using Ollama.
 - **Two Main Modes:**
   - **Copilot Mode:** (In development) Boosts search by generating different queries to find more relevant internet sources. Like normal search instead of just using the context by SearxNG, it visits the top matches and tries to find relevant sources to the user's query directly from the page.
   - **Normal Mode:** Processes your query and performs a web search.
@@ -88,10 +87,8 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 4. Rename the `sample.config.toml` file to `config.toml`. For Docker setups, you need only fill in the following fields:
 
    - `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
-   - `CUSTOM_OPENAI`: Your OpenAI-API-compliant local server URL, model name, and API key. You should run your local server with host set to `0.0.0.0`, take note of which port number it is running on, and then use that port number to set `API_URL = http://host.docker.internal:PORT_NUMBER`. You must specify the model name, such as `MODEL_NAME = "unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF:Q4_K_XL"`. Finally, set `API_KEY` to the appropriate value. If you have not defined an API key, just put anything you want in-between the quotation marks: `API_KEY = "whatever-you-want-but-not-blank"` **You only need to configure these settings if you want to use a local OpenAI-compliant server, such as Llama.cpp's [`llama-server`](https://github.com/ggml-org/llama.cpp/blob/master/tools/server/README.md)**.
    - `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
-   - `LEMONADE`: Your Lemonade API URL. Since Lemonade runs directly on your local machine (not in Docker), you should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Lemonade on port 8000, use `http://host.docker.internal:8000`. For other ports, adjust accordingly. **You need to fill this if you wish to use Lemonade's models**.
-   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.`
+   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
    - `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
    - `Gemini`: Your Gemini API key. **You only need to fill this if you wish to use Google's models**.
    - `DEEPSEEK`: Your Deepseek API key. **Only needed if you want Deepseek models.**
@@ -123,17 +120,7 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 
 See the [installation documentation](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/installation) for more information like updating, etc.
 
-### Troubleshooting
-
-#### Local OpenAI-API-Compliant Servers
-
-If Perplexica tells you that you haven't configured any chat model providers, ensure that:
-
-1. Your server is running on `0.0.0.0` (not `127.0.0.1`) and on the same port you put in the API URL.
-2. You have specified the correct model name loaded by your local LLM server.
-3. You have specified the correct API key, or if one is not defined, you have put _something_ in the API key field and not left it empty.
-
-#### Ollama Connection Errors
+### Ollama Connection Errors
 
 If you're encountering an Ollama connection error, it is likely due to the backend being unable to connect to Ollama's API. To fix this issue you can:
 
@@ -152,25 +139,6 @@ If you're encountering an Ollama connection error, it is likely due to the backe
 
    - Ensure that the port (default is 11434) is not blocked by your firewall.
 
-#### Lemonade Connection Errors
-
-If you're encountering a Lemonade connection error, it is likely due to the backend being unable to connect to Lemonade's API. To fix this issue you can:
-
-1. **Check your Lemonade API URL:** Ensure that the API URL is correctly set in the settings menu.
-2. **Update API URL Based on OS:**
-
-   - **Windows:** Use `http://host.docker.internal:8000`
-   - **Mac:** Use `http://host.docker.internal:8000`
-   - **Linux:** Use `http://<private_ip_of_host>:8000`
-
-   Adjust the port number if you're using a different one.
-
-3. **Ensure Lemonade Server is Running:**
-
-   - Make sure your Lemonade server is running and accessible on the configured port (default is 8000).
-   - Verify that Lemonade is configured to accept connections from all interfaces (`0.0.0.0`), not just localhost (`127.0.0.1`).
-   - Ensure that the port (default is 8000) is not blocked by your firewall.
-
 ## Using as a Search Engine
 
 If you wish to use Perplexica as an alternative to traditional search engines like Google or Bing, or if you want to add a shortcut for quick access from your browser's search bar, follow these steps:
@@ -195,7 +163,6 @@ 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)
-[![Deploy on Hostinger](https://assets.hostinger.com/vps/deploy.svg)](https://www.hostinger.com/vps/docker-hosting?compose_url=https://raw.githubusercontent.com/ItzCrazyKns/Perplexica/refs/heads/master/docker-compose.yaml)
 
 ## Upcoming Features
 

app.dockerfile

@@ -1,6 +1,4 @@
-FROM node:24.5.0-slim AS builder
-
-RUN apt-get update && apt-get install -y python3 python3-pip sqlite3 && rm -rf /var/lib/apt/lists/*
+FROM node:20.18.0-slim AS builder
 
 WORKDIR /home/perplexica
 
@@ -10,14 +8,14 @@ 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
 COPY public ./public
-COPY drizzle ./drizzle
 
 RUN mkdir -p /home/perplexica/data
 RUN yarn build
 
-FROM node:24.5.0-slim
+RUN yarn add --dev @vercel/ncc
+RUN yarn ncc build ./src/lib/db/migrate.ts -o migrator
 
-RUN apt-get update && apt-get install -y python3 python3-pip sqlite3 && rm -rf /var/lib/apt/lists/*
+FROM node:20.18.0-slim
 
 WORKDIR /home/perplexica
 
@@ -27,11 +25,11 @@ 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
-RUN sed -i 's/\r$//' ./entrypoint.sh || true
-
-CMD ["/home/perplexica/entrypoint.sh"]
+CMD ["./entrypoint.sh"]

drizzle/0001_wise_rockslide.sql

@@ -1 +0,0 @@
-/* Do nothing */

drizzle/meta/0001_snapshot.json

@@ -1,125 +0,0 @@
-{
-  "version": "6",
-  "dialect": "sqlite",
-  "id": "6dedf55f-0e44-478f-82cf-14a21ac686f8",
-  "prevId": "ef3a044b-0f34-40b5-babb-2bb3a909ba27",
-  "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
-        },
-        "type": {
-          "name": "type",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "chatId": {
-          "name": "chatId",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "createdAt": {
-          "name": "createdAt",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false,
-          "default": "CURRENT_TIMESTAMP"
-        },
-        "messageId": {
-          "name": "messageId",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "content": {
-          "name": "content",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "sources": {
-          "name": "sources",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false,
-          "default": "'[]'"
-        }
-      },
-      "indexes": {},
-      "foreignKeys": {},
-      "compositePrimaryKeys": {},
-      "uniqueConstraints": {},
-      "checkConstraints": {}
-    }
-  },
-  "views": {},
-  "enums": {},
-  "_meta": {
-    "schemas": {},
-    "tables": {},
-    "columns": {}
-  },
-  "internal": {
-    "indexes": {}
-  }
-}

drizzle/meta/_journal.json

@@ -8,13 +8,6 @@
       "when": 1748405503809,
       "tag": "0000_fuzzy_randall",
       "breakpoints": true
-    },
-    {
-      "idx": 1,
-      "version": "6",
-      "when": 1758863991284,
-      "tag": "0001_wise_rockslide",
-      "breakpoints": true
     }
   ]
 }

entrypoint.sh

@@ -1,4 +1,6 @@
 #!/bin/sh
 set -e
 
+node migrate.js
+
 exec node server.js

package.json

@@ -1,18 +1,18 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.11.0-rc3",
+  "version": "1.11.0-rc2",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
     "dev": "next dev",
-    "build": "next build",
+    "build": "npm run db:push && next build",
     "start": "next start",
     "lint": "next lint",
-    "format:write": "prettier . --write"
+    "format:write": "prettier . --write",
+    "db:push": "drizzle-kit push"
   },
   "dependencies": {
     "@headlessui/react": "^2.2.0",
-    "@headlessui/tailwindcss": "^0.2.2",
     "@iarna/toml": "^2.2.5",
     "@icons-pack/react-simple-icons": "^12.3.0",
     "@langchain/anthropic": "^0.3.24",
@@ -20,6 +20,7 @@
     "@langchain/core": "^0.3.66",
     "@langchain/google-genai": "^0.2.15",
     "@langchain/groq": "^0.2.3",
+    "@langchain/langgraph": "^0.4.0",
     "@langchain/ollama": "^0.2.3",
     "@langchain/openai": "^0.6.2",
     "@langchain/textsplitters": "^0.1.0",
@@ -42,6 +43,7 @@
     "pdf-parse": "^1.1.1",
     "react": "^18",
     "react-dom": "^18",
+    "react-syntax-highlighter": "^15.6.1",
     "react-text-to-speech": "^0.14.5",
     "react-textarea-autosize": "^8.5.3",
     "sonner": "^1.4.41",
@@ -58,6 +60,7 @@
     "@types/pdf-parse": "^1.1.4",
     "@types/react": "^18",
     "@types/react-dom": "^18",
+    "@types/react-syntax-highlighter": "^15.5.13",
     "autoprefixer": "^10.0.1",
     "drizzle-kit": "^0.30.5",
     "eslint": "^8",
@@ -65,6 +68,6 @@
     "postcss": "^8",
     "prettier": "^3.2.5",
     "tailwindcss": "^3.3.0",
-    "typescript": "^5"
+    "typescript": "5.8.3"
   }
 }

sample.config.toml

@@ -31,9 +31,5 @@ API_KEY = "" # Required to use AI/ML API chat and embedding models
 [MODELS.LM_STUDIO]
 API_URL = "" # LM Studio API URL - http://host.docker.internal:1234
 
-[MODELS.LEMONADE]
-API_URL = "" # Lemonade API URL - http://host.docker.internal:8000
-API_KEY = "" # Optional API key for Lemonade
-
 [API_ENDPOINTS]
 SEARXNG = "" # SearxNG API URL - http://localhost:32768

src/app/api/chat/route.ts

@@ -1,7 +1,11 @@
+import prompts from '@/lib/prompts';
+import MetaSearchAgent from '@/lib/search/metaSearchAgent';
 import crypto from 'crypto';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
 import { EventEmitter } from 'stream';
 import {
+  chatModelProviders,
+  embeddingModelProviders,
   getAvailableChatModelProviders,
   getAvailableEmbeddingModelProviders,
 } from '@/lib/providers';
@@ -17,81 +21,46 @@ import {
   getCustomOpenaiModelName,
 } from '@/lib/config';
 import { searchHandlers } from '@/lib/search';
-import { z } from 'zod';
 
 export const runtime = 'nodejs';
 export const dynamic = 'force-dynamic';
 
-const messageSchema = z.object({
-  messageId: z.string().min(1, 'Message ID is required'),
-  chatId: z.string().min(1, 'Chat ID is required'),
-  content: z.string().min(1, 'Message content is required'),
-});
-
-const chatModelSchema = z.object({
-  provider: z.string().optional(),
-  name: z.string().optional(),
-});
-
-const embeddingModelSchema = z.object({
-  provider: z.string().optional(),
-  name: z.string().optional(),
-});
-
-const bodySchema = z.object({
-  message: messageSchema,
-  optimizationMode: z.enum(['speed', 'balanced', 'quality'], {
-    errorMap: () => ({
-      message: 'Optimization mode must be one of: speed, balanced, quality',
-    }),
-  }),
-  focusMode: z.string().min(1, 'Focus mode is required'),
-  history: z
-    .array(
-      z.tuple([z.string(), z.string()], {
-        errorMap: () => ({
-          message: 'History items must be tuples of two strings',
-        }),
-      }),
-    )
-    .optional()
-    .default([]),
-  files: z.array(z.string()).optional().default([]),
-  chatModel: chatModelSchema.optional().default({}),
-  embeddingModel: embeddingModelSchema.optional().default({}),
-  systemInstructions: z.string().nullable().optional().default(''),
-});
-
-type Message = z.infer<typeof messageSchema>;
-type Body = z.infer<typeof bodySchema>;
-
-const safeValidateBody = (data: unknown) => {
-  const result = bodySchema.safeParse(data);
-
-  if (!result.success) {
-    return {
-      success: false,
-      error: result.error.errors.map((e) => ({
-        path: e.path.join('.'),
-        message: e.message,
-      })),
+type Message = {
+  messageId: string;
+  chatId: string;
+  content: string;
 };
-  }
 
-  return {
-    success: true,
-    data: result.data,
+type ChatModel = {
+  provider: string;
+  name: string;
 };
+
+type EmbeddingModel = {
+  provider: string;
+  name: string;
+};
+
+type Body = {
+  message: Message;
+  optimizationMode: 'speed' | 'balanced' | 'quality';
+  focusMode: string;
+  history: Array<[string, string]>;
+  files: Array<string>;
+  chatModel: ChatModel;
+  embeddingModel: EmbeddingModel;
+  systemInstructions: string;
 };
 
 const handleEmitterEvents = async (
   stream: EventEmitter,
   writer: WritableStreamDefaultWriter,
   encoder: TextEncoder,
+  aiMessageId: string,
   chatId: string,
 ) => {
   let recievedMessage = '';
-  const aiMessageId = crypto.randomBytes(7).toString('hex');
+  let sources: any[] = [];
 
   stream.on('data', (data) => {
     const parsedData = JSON.parse(data);
@@ -118,17 +87,7 @@ const handleEmitterEvents = async (
         ),
       );
 
-      const sourceMessageId = crypto.randomBytes(7).toString('hex');
-
-      db.insert(messagesSchema)
-        .values({
-          chatId: chatId,
-          messageId: sourceMessageId,
-          role: 'source',
-          sources: parsedData.data,
-          createdAt: new Date().toString(),
-        })
-        .execute();
+      sources = parsedData.data;
     }
   });
   stream.on('end', () => {
@@ -136,6 +95,7 @@ const handleEmitterEvents = async (
       encoder.encode(
         JSON.stringify({
           type: 'messageEnd',
+          messageId: aiMessageId,
         }) + '\n',
       ),
     );
@@ -147,7 +107,10 @@ const handleEmitterEvents = async (
         chatId: chatId,
         messageId: aiMessageId,
         role: 'assistant',
-        createdAt: new Date().toString(),
+        metadata: JSON.stringify({
+          createdAt: new Date(),
+          ...(sources && sources.length > 0 && { sources }),
+        }),
       })
       .execute();
   });
@@ -175,8 +138,6 @@ const handleHistorySave = async (
     where: eq(chats.id, message.chatId),
   });
 
-  const fileData = files.map(getFileDetails);
-
   if (!chat) {
     await db
       .insert(chats)
@@ -185,15 +146,9 @@ const handleHistorySave = async (
         title: message.content,
         createdAt: new Date().toString(),
         focusMode: focusMode,
-        files: fileData,
-      })
-      .execute();
-  } else if (JSON.stringify(chat.files ?? []) != JSON.stringify(fileData)) {
-    db.update(chats)
-      .set({
         files: files.map(getFileDetails),
       })
-      .where(eq(chats.id, message.chatId));
+      .execute();
   }
 
   const messageExists = await db.query.messages.findFirst({
@@ -208,7 +163,9 @@ const handleHistorySave = async (
         chatId: message.chatId,
         messageId: humanMessageId,
         role: 'user',
-        createdAt: new Date().toString(),
+        metadata: JSON.stringify({
+          createdAt: new Date(),
+        }),
       })
       .execute();
   } else {
@@ -226,17 +183,7 @@ const handleHistorySave = async (
 
 export const POST = async (req: Request) => {
   try {
-    const reqBody = (await req.json()) as Body;
-
-    const parseBody = safeValidateBody(reqBody);
-    if (!parseBody.success) {
-      return Response.json(
-        { message: 'Invalid request body', error: parseBody.error },
-        { status: 400 },
-      );
-    }
-
-    const body = parseBody.data as Body;
+    const body = (await req.json()) as Body;
     const { message } = body;
 
     if (message.content === '') {
@@ -300,6 +247,7 @@ export const POST = async (req: Request) => {
 
     const humanMessageId =
       message.messageId ?? crypto.randomBytes(7).toString('hex');
+    const aiMessageId = crypto.randomBytes(7).toString('hex');
 
     const history: BaseMessage[] = body.history.map((msg) => {
       if (msg[0] === 'human') {
@@ -331,14 +279,14 @@ export const POST = async (req: Request) => {
       embedding,
       body.optimizationMode,
       body.files,
-      body.systemInstructions as string,
+      body.systemInstructions,
     );
 
     const responseStream = new TransformStream();
     const writer = responseStream.writable.getWriter();
     const encoder = new TextEncoder();
 
-    handleEmitterEvents(stream, writer, encoder, message.chatId);
+    handleEmitterEvents(stream, writer, encoder, aiMessageId, message.chatId);
     handleHistorySave(message, humanMessageId, body.focusMode, body.files);
 
     return new Response(responseStream.readable, {

src/app/api/config/route.ts

@@ -10,10 +10,7 @@ import {
   getDeepseekApiKey,
   getAimlApiKey,
   getLMStudioApiEndpoint,
-  getLemonadeApiEndpoint,
-  getLemonadeApiKey,
   updateConfig,
-  getOllamaApiKey,
 } from '@/lib/config';
 import {
   getAvailableChatModelProviders,
@@ -56,10 +53,7 @@ export const GET = async (req: Request) => {
 
     config['openaiApiKey'] = getOpenaiApiKey();
     config['ollamaApiUrl'] = getOllamaApiEndpoint();
-    config['ollamaApiKey'] = getOllamaApiKey();
     config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
-    config['lemonadeApiUrl'] = getLemonadeApiEndpoint();
-    config['lemonadeApiKey'] = getLemonadeApiKey();
     config['anthropicApiKey'] = getAnthropicApiKey();
     config['groqApiKey'] = getGroqApiKey();
     config['geminiApiKey'] = getGeminiApiKey();
@@ -99,7 +93,6 @@ export const POST = async (req: Request) => {
         },
         OLLAMA: {
           API_URL: config.ollamaApiUrl,
-          API_KEY: config.ollamaApiKey,
         },
         DEEPSEEK: {
           API_KEY: config.deepseekApiKey,
@@ -110,10 +103,6 @@ export const POST = async (req: Request) => {
         LM_STUDIO: {
           API_URL: config.lmStudioApiUrl,
         },
-        LEMONADE: {
-          API_URL: config.lemonadeApiUrl,
-          API_KEY: config.lemonadeApiKey,
-        },
         CUSTOM_OPENAI: {
           API_URL: config.customOpenaiApiUrl,
           API_KEY: config.customOpenaiApiKey,

src/app/c/[chatId]/page.tsx

@@ -1,17 +1,9 @@
-'use client';
-
 import ChatWindow from '@/components/ChatWindow';
-import { useParams } from 'next/navigation';
 import React from 'react';
-import { ChatProvider } from '@/lib/hooks/useChat';
 
-const Page = () => {
-  const { chatId }: { chatId: string } = useParams();
-  return (
-    <ChatProvider id={chatId}>
-      <ChatWindow />
-    </ChatProvider>
-  );
+const Page = ({ params }: { params: Promise<{ chatId: string }> }) => {
+  const { chatId } = React.use(params);
+  return <ChatWindow id={chatId} />;
 };
 
 export default Page;

src/app/discover/page.tsx

@@ -1,13 +1,12 @@
 'use client';
 
-import { Globe2Icon } from 'lucide-react';
+import { Search } from 'lucide-react';
 import { useEffect, useState } from 'react';
+import Link from 'next/link';
 import { toast } from 'sonner';
 import { cn } from '@/lib/utils';
-import SmallNewsCard from '@/components/Discover/SmallNewsCard';
-import MajorNewsCard from '@/components/Discover/MajorNewsCard';
 
-export interface Discover {
+interface Discover {
   title: string;
   content: string;
   url: string;
@@ -76,17 +75,14 @@ const Page = () => {
   return (
     <>
       <div>
-        <div className="flex flex-col pt-10 border-b border-light-200/20 dark:border-dark-200/20 pb-6 px-2">
-          <div className="flex flex-col lg:flex-row lg:items-center lg:justify-between gap-4">
-            <div className="flex items-center justify-center">
-              <Globe2Icon size={45} className="mb-2.5" />
-              <h1
-                className="text-5xl font-normal p-2"
-                style={{ fontFamily: 'PP Editorial, serif' }}
-              >
-                Discover
-              </h1>
+        <div className="flex flex-col pt-4">
+          <div className="flex items-center">
+            <Search />
+            <h1 className="text-3xl font-medium p-2">Discover</h1>
           </div>
+          <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+        </div>
+
         <div className="flex flex-row items-center space-x-2 overflow-x-auto">
           {topics.map((t, i) => (
             <div
@@ -94,8 +90,8 @@ const Page = () => {
               className={cn(
                 'border-[0.1px] rounded-full text-sm px-3 py-1 text-nowrap transition duration-200 cursor-pointer',
                 activeTopic === t.key
-                      ? 'text-cyan-700 dark:text-cyan-300 bg-cyan-300/20 border-cyan-700/60 dar:bg-cyan-300/30 dark:border-cyan-300/40'
-                      : 'border-black/30 dark:border-white/30 text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white hover:border-black/40 dark:hover:border-white/40 hover:bg-black/5 dark:hover:bg-white/5',
+                  ? 'text-cyan-300 bg-cyan-300/30 border-cyan-300/60'
+                  : 'border-white/30 text-white/70 hover:text-white hover:border-white/40 hover:bg-white/5',
               )}
               onClick={() => setActiveTopic(t.key)}
             >
@@ -103,8 +99,6 @@ const Page = () => {
             </div>
           ))}
         </div>
-          </div>
-        </div>
 
         {loading ? (
           <div className="flex flex-row items-center justify-center min-h-screen">
@@ -126,141 +120,34 @@ const Page = () => {
             </svg>
           </div>
         ) : (
-          <div className="flex flex-col gap-4 pb-28 pt-5 lg:pb-8 w-full">
-            <div className="block lg:hidden">
-              <div className="grid grid-cols-1 sm:grid-cols-2 gap-4">
-                {discover?.map((item, i) => (
-                  <SmallNewsCard key={`mobile-${i}`} item={item} />
-                ))}
-              </div>
-            </div>
-
-            <div className="hidden lg:block">
+          <div className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4 pb-28 pt-5 lg:pb-8 w-full justify-items-center lg:justify-items-start">
             {discover &&
-                discover.length > 0 &&
-                (() => {
-                  const sections = [];
-                  let index = 0;
-
-                  while (index < discover.length) {
-                    if (sections.length > 0) {
-                      sections.push(
-                        <hr
-                          key={`sep-${index}`}
-                          className="border-t border-light-200/20 dark:border-dark-200/20 my-3 w-full"
-                        />,
-                      );
-                    }
-
-                    if (index < discover.length) {
-                      sections.push(
-                        <MajorNewsCard
-                          key={`major-${index}`}
-                          item={discover[index]}
-                          isLeft={false}
-                        />,
-                      );
-                      index++;
-                    }
-
-                    if (index < discover.length) {
-                      sections.push(
-                        <hr
-                          key={`sep-${index}-after`}
-                          className="border-t border-light-200/20 dark:border-dark-200/20 my-3 w-full"
-                        />,
-                      );
-                    }
-
-                    if (index < discover.length) {
-                      const smallCards = discover.slice(index, index + 3);
-                      sections.push(
-                        <div
-                          key={`small-group-${index}`}
-                          className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4"
+              discover?.map((item, i) => (
+                <Link
+                  href={`/?q=Summary: ${item.url}`}
+                  key={i}
+                  className="max-w-sm rounded-lg overflow-hidden bg-light-secondary dark:bg-dark-secondary hover:-translate-y-[1px] transition duration-200"
+                  target="_blank"
                 >
-                          {smallCards.map((item, i) => (
-                            <SmallNewsCard
-                              key={`small-${index + i}`}
-                              item={item}
+                  <img
+                    className="object-cover w-full aspect-video"
+                    src={
+                      new URL(item.thumbnail).origin +
+                      new URL(item.thumbnail).pathname +
+                      `?id=${new URL(item.thumbnail).searchParams.get('id')}`
+                    }
+                    alt={item.title}
                   />
-                          ))}
-                        </div>,
-                      );
-                      index += 3;
-                    }
-
-                    if (index < discover.length) {
-                      sections.push(
-                        <hr
-                          key={`sep-${index}-after-small`}
-                          className="border-t border-light-200/20 dark:border-dark-200/20 my-3 w-full"
-                        />,
-                      );
-                    }
-
-                    if (index < discover.length - 1) {
-                      const twoMajorCards = discover.slice(index, index + 2);
-                      twoMajorCards.forEach((item, i) => {
-                        sections.push(
-                          <MajorNewsCard
-                            key={`double-${index + i}`}
-                            item={item}
-                            isLeft={i === 0}
-                          />,
-                        );
-                        if (i === 0) {
-                          sections.push(
-                            <hr
-                              key={`sep-double-${index + i}`}
-                              className="border-t border-light-200/20 dark:border-dark-200/20 my-3 w-full"
-                            />,
-                          );
-                        }
-                      });
-                      index += 2;
-                    } else if (index < discover.length) {
-                      sections.push(
-                        <MajorNewsCard
-                          key={`final-major-${index}`}
-                          item={discover[index]}
-                          isLeft={true}
-                        />,
-                      );
-                      index++;
-                    }
-
-                    if (index < discover.length) {
-                      sections.push(
-                        <hr
-                          key={`sep-${index}-after-major`}
-                          className="border-t border-light-200/20 dark:border-dark-200/20 my-3 w-full"
-                        />,
-                      );
-                    }
-
-                    if (index < discover.length) {
-                      const smallCards = discover.slice(index, index + 3);
-                      sections.push(
-                        <div
-                          key={`small-group-2-${index}`}
-                          className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4"
-                        >
-                          {smallCards.map((item, i) => (
-                            <SmallNewsCard
-                              key={`small-2-${index + i}`}
-                              item={item}
-                            />
-                          ))}
-                        </div>,
-                      );
-                      index += 3;
-                    }
-                  }
-
-                  return sections;
-                })()}
+                  <div className="px-6 py-4">
+                    <div className="font-bold text-lg mb-2">
+                      {item.title.slice(0, 100)}...
                     </div>
+                    <p className="text-black-70 dark:text-white/70 text-sm">
+                      {item.content.slice(0, 100)}...
+                    </p>
+                  </div>
+                </Link>
+              ))}
           </div>
         )}
       </div>

src/app/globals.css

@@ -2,14 +2,6 @@
 @tailwind components;
 @tailwind utilities;
 
-@font-face {
-  font-family: 'PP Editorial';
-  src: url('/fonts/pp-ed-ul.otf') format('opentype');
-  font-weight: 200;
-  font-style: normal;
-  font-display: swap;
-}
-
 @layer base {
   .overflow-hidden-scrollable {
     -ms-overflow-style: none;
@@ -20,15 +12,6 @@
   }
 }
 
-@layer utilities {
-  .line-clamp-2 {
-    display: -webkit-box;
-    -webkit-box-orient: vertical;
-    -webkit-line-clamp: 2;
-    overflow: hidden;
-  }
-}
-
 @media screen and (-webkit-min-device-pixel-ratio: 0) {
   select,
   textarea,

src/app/page.tsx

@@ -1,5 +1,4 @@
 import ChatWindow from '@/components/ChatWindow';
-import { ChatProvider } from '@/lib/hooks/useChat';
 import { Metadata } from 'next';
 import { Suspense } from 'react';
 
@@ -12,9 +11,7 @@ const Home = () => {
   return (
     <div>
       <Suspense>
-        <ChatProvider>
         <ChatWindow />
-        </ChatProvider>
       </Suspense>
     </div>
   );

src/app/settings/page.tsx

@@ -21,10 +21,7 @@ interface SettingsType {
   anthropicApiKey: string;
   geminiApiKey: string;
   ollamaApiUrl: string;
-  ollamaApiKey: string;
   lmStudioApiUrl: string;
-  lemonadeApiUrl: string;
-  lemonadeApiKey: string;
   deepseekApiKey: string;
   aimlApiKey: string;
   customOpenaiApiKey: string;
@@ -821,25 +818,6 @@ const Page = () => {
                   />
                 </div>
 
-                <div className="flex flex-col space-y-1">
-                  <p className="text-black/70 dark:text-white/70 text-sm">
-                    Ollama API Key (Can be left blank)
-                  </p>
-                  <Input
-                    type="text"
-                    placeholder="Ollama API Key"
-                    value={config.ollamaApiKey}
-                    isSaving={savingStates['ollamaApiKey']}
-                    onChange={(e) => {
-                      setConfig((prev) => ({
-                        ...prev!,
-                        ollamaApiKey: e.target.value,
-                      }));
-                    }}
-                    onSave={(value) => saveConfig('ollamaApiKey', value)}
-                  />
-                </div>
-
                 <div className="flex flex-col space-y-1">
                   <p className="text-black/70 dark:text-white/70 text-sm">
                     GROQ API Key
@@ -955,48 +933,6 @@ const Page = () => {
                 </div>
               </div>
             </SettingsSection>
-
-            <SettingsSection title="Lemonade">
-              <div className="grid grid-cols-1 md:grid-cols-2 gap-4">
-                <div className="flex flex-col space-y-1">
-                  <p className="text-black/70 dark:text-white/70 text-sm">
-                    Lemonade API URL
-                  </p>
-                  <Input
-                    type="text"
-                    placeholder="Lemonade API URL"
-                    value={config.lemonadeApiUrl}
-                    isSaving={savingStates['lemonadeApiUrl']}
-                    onChange={(e) => {
-                      setConfig((prev) => ({
-                        ...prev!,
-                        lemonadeApiUrl: e.target.value,
-                      }));
-                    }}
-                    onSave={(value) => saveConfig('lemonadeApiUrl', value)}
-                  />
-                </div>
-
-                <div className="flex flex-col space-y-1">
-                  <p className="text-black/70 dark:text-white/70 text-sm">
-                    Lemonade API Key (Optional)
-                  </p>
-                  <Input
-                    type="password"
-                    placeholder="Lemonade API Key"
-                    value={config.lemonadeApiKey}
-                    isSaving={savingStates['lemonadeApiKey']}
-                    onChange={(e) => {
-                      setConfig((prev) => ({
-                        ...prev!,
-                        lemonadeApiKey: e.target.value,
-                      }));
-                    }}
-                    onSave={(value) => saveConfig('lemonadeApiKey', value)}
-                  />
-                </div>
-              </div>
-            </SettingsSection>
           </div>
         )
       )}

src/components/Chat.tsx

@@ -2,13 +2,31 @@
 
 import { Fragment, useEffect, useRef, useState } from 'react';
 import MessageInput from './MessageInput';
+import { File, Message } from './ChatWindow';
 import MessageBox from './MessageBox';
 import MessageBoxLoading from './MessageBoxLoading';
-import { useChat } from '@/lib/hooks/useChat';
-
-const Chat = () => {
-  const { sections, chatTurns, loading, messageAppeared } = useChat();
 
+const Chat = ({
+  loading,
+  messages,
+  sendMessage,
+  messageAppeared,
+  rewrite,
+  fileIds,
+  setFileIds,
+  files,
+  setFiles,
+}: {
+  messages: Message[];
+  sendMessage: (message: string) => void;
+  loading: boolean;
+  messageAppeared: boolean;
+  rewrite: (messageId: string) => void;
+  fileIds: string[];
+  setFileIds: (fileIds: string[]) => void;
+  files: File[];
+  setFiles: (files: File[]) => void;
+}) => {
   const [dividerWidth, setDividerWidth] = useState(0);
   const dividerRef = useRef<HTMLDivElement | null>(null);
   const messageEnd = useRef<HTMLDivElement | null>(null);
@@ -27,36 +45,41 @@ const Chat = () => {
     return () => {
       window.removeEventListener('resize', updateDividerWidth);
     };
-  }, []);
+  });
 
   useEffect(() => {
     const scroll = () => {
       messageEnd.current?.scrollIntoView({ behavior: 'smooth' });
     };
 
-    if (chatTurns.length === 1) {
-      document.title = `${chatTurns[0].content.substring(0, 30)} - Perplexica`;
+    if (messages.length === 1) {
+      document.title = `${messages[0].content.substring(0, 30)} - Perplexica`;
     }
 
-    if (chatTurns[chatTurns.length - 1]?.role === 'user') {
+    if (messages[messages.length - 1]?.role == 'user') {
       scroll();
     }
-  }, [chatTurns]);
+  }, [messages]);
 
   return (
     <div className="flex flex-col space-y-6 pt-8 pb-44 lg:pb-32 sm:mx-4 md:mx-8">
-      {sections.map((section, i) => {
-        const isLast = i === sections.length - 1;
+      {messages.map((msg, i) => {
+        const isLast = i === messages.length - 1;
 
         return (
-          <Fragment key={section.userMessage.messageId}>
+          <Fragment key={msg.messageId}>
             <MessageBox
-              section={section}
-              sectionIndex={i}
+              key={i}
+              message={msg}
+              messageIndex={i}
+              history={messages}
+              loading={loading}
               dividerRef={isLast ? dividerRef : undefined}
               isLast={isLast}
+              rewrite={rewrite}
+              sendMessage={sendMessage}
             />
-            {!isLast && (
+            {!isLast && msg.role === 'assistant' && (
               <div className="h-px w-full bg-light-secondary dark:bg-dark-secondary" />
             )}
           </Fragment>
@@ -69,7 +92,14 @@ const Chat = () => {
           className="bottom-24 lg:bottom-10 fixed z-40"
           style={{ width: dividerWidth }}
         >
-          <MessageInput />
+          <MessageInput
+            loading={loading}
+            sendMessage={sendMessage}
+            fileIds={fileIds}
+            setFileIds={setFileIds}
+            files={files}
+            setFiles={setFiles}
+          />
         </div>
       )}
     </div>

src/components/ChatWindow.tsx

@@ -1,47 +1,27 @@
 'use client';
 
+import { useEffect, useRef, useState } from 'react';
 import { Document } from '@langchain/core/documents';
 import Navbar from './Navbar';
 import Chat from './Chat';
 import EmptyChat from './EmptyChat';
+import crypto from 'crypto';
+import { toast } from 'sonner';
+import { useSearchParams } from 'next/navigation';
+import { getSuggestions } from '@/lib/actions';
 import { Settings } from 'lucide-react';
 import Link from 'next/link';
 import NextError from 'next/error';
-import { useChat } from '@/lib/hooks/useChat';
 
-export interface BaseMessage {
-  chatId: string;
+export type Message = {
   messageId: string;
+  chatId: string;
   createdAt: Date;
-}
-
-export interface AssistantMessage extends BaseMessage {
-  role: 'assistant';
   content: string;
+  role: 'user' | 'assistant';
   suggestions?: string[];
-}
-
-export interface UserMessage extends BaseMessage {
-  role: 'user';
-  content: string;
-}
-
-export interface SourceMessage extends BaseMessage {
-  role: 'source';
-  sources: Document[];
-}
-
-export interface SuggestionMessage extends BaseMessage {
-  role: 'suggestion';
-  suggestions: string[];
-}
-
-export type Message =
-  | AssistantMessage
-  | UserMessage
-  | SourceMessage
-  | SuggestionMessage;
-export type ChatTurn = UserMessage | AssistantMessage;
+  sources?: Document[];
+};
 
 export interface File {
   fileName: string;
@@ -49,8 +29,557 @@ export interface File {
   fileId: string;
 }
 
-const ChatWindow = () => {
-  const { hasError, isReady, notFound, messages } = useChat();
+interface ChatModelProvider {
+  name: string;
+  provider: string;
+}
+
+interface EmbeddingModelProvider {
+  name: string;
+  provider: string;
+}
+
+const checkConfig = async (
+  setChatModelProvider: (provider: ChatModelProvider) => void,
+  setEmbeddingModelProvider: (provider: EmbeddingModelProvider) => void,
+  setIsConfigReady: (ready: boolean) => void,
+  setHasError: (hasError: boolean) => void,
+) => {
+  try {
+    let chatModel = localStorage.getItem('chatModel');
+    let chatModelProvider = localStorage.getItem('chatModelProvider');
+    let embeddingModel = localStorage.getItem('embeddingModel');
+    let embeddingModelProvider = localStorage.getItem('embeddingModelProvider');
+
+    const autoImageSearch = localStorage.getItem('autoImageSearch');
+    const autoVideoSearch = localStorage.getItem('autoVideoSearch');
+
+    if (!autoImageSearch) {
+      localStorage.setItem('autoImageSearch', 'true');
+    }
+
+    if (!autoVideoSearch) {
+      localStorage.setItem('autoVideoSearch', 'false');
+    }
+
+    const providers = await fetch(`/api/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    }).then(async (res) => {
+      if (!res.ok)
+        throw new Error(
+          `Failed to fetch models: ${res.status} ${res.statusText}`,
+        );
+      return res.json();
+    });
+
+    if (
+      !chatModel ||
+      !chatModelProvider ||
+      !embeddingModel ||
+      !embeddingModelProvider
+    ) {
+      if (!chatModel || !chatModelProvider) {
+        const chatModelProviders = providers.chatModelProviders;
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
+
+        if (!chatModelProviders || chatModelProvidersKeys.length === 0) {
+          return toast.error('No chat models available');
+        } else {
+          chatModelProvider =
+            chatModelProvidersKeys.find(
+              (provider) =>
+                Object.keys(chatModelProviders[provider]).length > 0,
+            ) || chatModelProvidersKeys[0];
+        }
+
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
+        chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+      }
+
+      if (!embeddingModel || !embeddingModelProvider) {
+        const embeddingModelProviders = providers.embeddingModelProviders;
+
+        if (
+          !embeddingModelProviders ||
+          Object.keys(embeddingModelProviders).length === 0
+        )
+          return toast.error('No embedding models available');
+
+        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+        embeddingModel = Object.keys(
+          embeddingModelProviders[embeddingModelProvider],
+        )[0];
+      }
+
+      localStorage.setItem('chatModel', chatModel!);
+      localStorage.setItem('chatModelProvider', chatModelProvider);
+      localStorage.setItem('embeddingModel', embeddingModel!);
+      localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
+    } else {
+      const chatModelProviders = providers.chatModelProviders;
+      const embeddingModelProviders = providers.embeddingModelProviders;
+
+      if (
+        Object.keys(chatModelProviders).length > 0 &&
+        (!chatModelProviders[chatModelProvider] ||
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0)
+      ) {
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
+        chatModelProvider =
+          chatModelProvidersKeys.find(
+            (key) => Object.keys(chatModelProviders[key]).length > 0,
+          ) || chatModelProvidersKeys[0];
+
+        localStorage.setItem('chatModelProvider', chatModelProvider);
+      }
+
+      if (
+        chatModelProvider &&
+        !chatModelProviders[chatModelProvider][chatModel]
+      ) {
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
+        chatModel = Object.keys(
+          chatModelProviders[
+            Object.keys(chatModelProviders[chatModelProvider]).length > 0
+              ? chatModelProvider
+              : Object.keys(chatModelProviders)[0]
+          ],
+        )[0];
+
+        localStorage.setItem('chatModel', chatModel);
+      }
+
+      if (
+        Object.keys(embeddingModelProviders).length > 0 &&
+        !embeddingModelProviders[embeddingModelProvider]
+      ) {
+        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+        localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
+      }
+
+      if (
+        embeddingModelProvider &&
+        !embeddingModelProviders[embeddingModelProvider][embeddingModel]
+      ) {
+        embeddingModel = Object.keys(
+          embeddingModelProviders[embeddingModelProvider],
+        )[0];
+        localStorage.setItem('embeddingModel', embeddingModel);
+      }
+    }
+
+    setChatModelProvider({
+      name: chatModel!,
+      provider: chatModelProvider,
+    });
+
+    setEmbeddingModelProvider({
+      name: embeddingModel!,
+      provider: embeddingModelProvider,
+    });
+
+    setIsConfigReady(true);
+  } catch (err) {
+    console.error('An error occurred while checking the configuration:', err);
+    setIsConfigReady(false);
+    setHasError(true);
+  }
+};
+
+const loadMessages = async (
+  chatId: string,
+  setMessages: (messages: Message[]) => void,
+  setIsMessagesLoaded: (loaded: boolean) => void,
+  setChatHistory: (history: [string, string][]) => void,
+  setFocusMode: (mode: string) => void,
+  setNotFound: (notFound: boolean) => void,
+  setFiles: (files: File[]) => void,
+  setFileIds: (fileIds: string[]) => void,
+) => {
+  const res = await fetch(`/api/chats/${chatId}`, {
+    method: 'GET',
+    headers: {
+      'Content-Type': 'application/json',
+    },
+  });
+
+  if (res.status === 404) {
+    setNotFound(true);
+    setIsMessagesLoaded(true);
+    return;
+  }
+
+  const data = await res.json();
+
+  const messages = data.messages.map((msg: any) => {
+    return {
+      ...msg,
+      ...JSON.parse(msg.metadata),
+    };
+  }) as Message[];
+
+  setMessages(messages);
+
+  const history = messages.map((msg) => {
+    return [msg.role, msg.content];
+  }) as [string, string][];
+
+  console.debug(new Date(), 'app:messages_loaded');
+
+  document.title = messages[0].content;
+
+  const files = data.chat.files.map((file: any) => {
+    return {
+      fileName: file.name,
+      fileExtension: file.name.split('.').pop(),
+      fileId: file.fileId,
+    };
+  });
+
+  setFiles(files);
+  setFileIds(files.map((file: File) => file.fileId));
+
+  setChatHistory(history);
+  setFocusMode(data.chat.focusMode);
+  setIsMessagesLoaded(true);
+};
+
+const ChatWindow = ({ id }: { id?: string }) => {
+  const searchParams = useSearchParams();
+  const initialMessage = searchParams.get('q');
+
+  const [chatId, setChatId] = useState<string | undefined>(id);
+  const [newChatCreated, setNewChatCreated] = useState(false);
+
+  const [chatModelProvider, setChatModelProvider] = useState<ChatModelProvider>(
+    {
+      name: '',
+      provider: '',
+    },
+  );
+
+  const [embeddingModelProvider, setEmbeddingModelProvider] =
+    useState<EmbeddingModelProvider>({
+      name: '',
+      provider: '',
+    });
+
+  const [isConfigReady, setIsConfigReady] = useState(false);
+  const [hasError, setHasError] = useState(false);
+  const [isReady, setIsReady] = useState(false);
+
+  useEffect(() => {
+    checkConfig(
+      setChatModelProvider,
+      setEmbeddingModelProvider,
+      setIsConfigReady,
+      setHasError,
+    );
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
+  const [loading, setLoading] = useState(false);
+  const [messageAppeared, setMessageAppeared] = useState(false);
+
+  const [chatHistory, setChatHistory] = useState<[string, string][]>([]);
+  const [messages, setMessages] = useState<Message[]>([]);
+
+  const [files, setFiles] = useState<File[]>([]);
+  const [fileIds, setFileIds] = useState<string[]>([]);
+
+  const [focusMode, setFocusMode] = useState('webSearch');
+  const [optimizationMode, setOptimizationMode] = useState('speed');
+
+  const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
+
+  const [notFound, setNotFound] = useState(false);
+
+  useEffect(() => {
+    if (
+      chatId &&
+      !newChatCreated &&
+      !isMessagesLoaded &&
+      messages.length === 0
+    ) {
+      loadMessages(
+        chatId,
+        setMessages,
+        setIsMessagesLoaded,
+        setChatHistory,
+        setFocusMode,
+        setNotFound,
+        setFiles,
+        setFileIds,
+      );
+    } else if (!chatId) {
+      setNewChatCreated(true);
+      setIsMessagesLoaded(true);
+      setChatId(crypto.randomBytes(20).toString('hex'));
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
+  const messagesRef = useRef<Message[]>([]);
+
+  useEffect(() => {
+    messagesRef.current = messages;
+  }, [messages]);
+
+  useEffect(() => {
+    if (isMessagesLoaded && isConfigReady) {
+      setIsReady(true);
+      console.debug(new Date(), 'app:ready');
+    } else {
+      setIsReady(false);
+    }
+  }, [isMessagesLoaded, isConfigReady]);
+
+  const sendMessage = async (
+    message: string,
+    messageId?: string,
+    rewrite = false,
+  ) => {
+    if (loading) return;
+    if (!isConfigReady) {
+      toast.error('Cannot send message before the configuration is ready');
+      return;
+    }
+
+    setLoading(true);
+    setMessageAppeared(false);
+
+    let sources: Document[] | undefined = undefined;
+    let recievedMessage = '';
+    let added = false;
+
+    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
+
+    setMessages((prevMessages) => [
+      ...prevMessages,
+      {
+        content: message,
+        messageId: messageId,
+        chatId: chatId!,
+        role: 'user',
+        createdAt: new Date(),
+      },
+    ]);
+
+    const messageHandler = async (data: any) => {
+      if (data.type === 'error') {
+        toast.error(data.data);
+        setLoading(false);
+        return;
+      }
+
+      if (data.type === 'sources') {
+        sources = data.data;
+        if (!added) {
+          setMessages((prevMessages) => [
+            ...prevMessages,
+            {
+              content: '',
+              messageId: data.messageId,
+              chatId: chatId!,
+              role: 'assistant',
+              sources: sources,
+              createdAt: new Date(),
+            },
+          ]);
+          added = true;
+          setMessageAppeared(true);
+        } else {
+          setMessages((prev) =>
+            prev.map((message) => {
+              if (message.messageId === data.messageId) {
+                return { ...message, sources: sources };
+              }
+
+              return message;
+            }),
+          );
+        }
+      }
+
+      if (data.type === 'message') {
+        if (!added) {
+          setMessages((prevMessages) => [
+            ...prevMessages,
+            {
+              content: data.data,
+              messageId: data.messageId,
+              chatId: chatId!,
+              role: 'assistant',
+              sources: sources,
+              createdAt: new Date(),
+            },
+          ]);
+          added = true;
+        } else {
+          setMessages((prev) =>
+            prev.map((message) => {
+              if (message.messageId === data.messageId) {
+                return { ...message, content: message.content + data.data };
+              }
+
+              return message;
+            }),
+          );
+
+          recievedMessage += data.data;
+          setMessageAppeared(true);
+        }
+      }
+
+      if (data.type === 'messageEnd') {
+        setChatHistory((prevHistory) => [
+          ...prevHistory,
+          ['human', message],
+          ['assistant', recievedMessage],
+        ]);
+
+        setLoading(false);
+
+        const lastMsg = messagesRef.current[messagesRef.current.length - 1];
+
+        const autoImageSearch = localStorage.getItem('autoImageSearch');
+        const autoVideoSearch = localStorage.getItem('autoVideoSearch');
+
+        if (autoImageSearch === 'true') {
+          document
+            .getElementById(`search-images-${lastMsg.messageId}`)
+            ?.click();
+        }
+
+        if (autoVideoSearch === 'true') {
+          document
+            .getElementById(`search-videos-${lastMsg.messageId}`)
+            ?.click();
+        }
+
+        if (
+          lastMsg.role === 'assistant' &&
+          lastMsg.sources &&
+          lastMsg.sources.length > 0 &&
+          !lastMsg.suggestions
+        ) {
+          const suggestions = await getSuggestions(messagesRef.current);
+          setMessages((prev) =>
+            prev.map((msg) => {
+              if (msg.messageId === lastMsg.messageId) {
+                return { ...msg, suggestions: suggestions };
+              }
+              return msg;
+            }),
+          );
+        }
+      }
+    };
+
+    const messageIndex = messages.findIndex((m) => m.messageId === messageId);
+
+    const res = await fetch('/api/chat', {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        content: message,
+        message: {
+          messageId: messageId,
+          chatId: chatId!,
+          content: message,
+        },
+        chatId: chatId!,
+        files: fileIds,
+        focusMode: focusMode,
+        optimizationMode: optimizationMode,
+        history: rewrite
+          ? chatHistory.slice(0, messageIndex === -1 ? undefined : messageIndex)
+          : chatHistory,
+        chatModel: {
+          name: chatModelProvider.name,
+          provider: chatModelProvider.provider,
+        },
+        embeddingModel: {
+          name: embeddingModelProvider.name,
+          provider: embeddingModelProvider.provider,
+        },
+        systemInstructions: localStorage.getItem('systemInstructions'),
+      }),
+    });
+
+    if (!res.body) throw new Error('No response body');
+
+    const reader = res.body?.getReader();
+    const decoder = new TextDecoder('utf-8');
+
+    let partialChunk = '';
+
+    while (true) {
+      const { value, done } = await reader.read();
+      if (done) break;
+
+      partialChunk += decoder.decode(value, { stream: true });
+
+      try {
+        const messages = partialChunk.split('\n');
+        for (const msg of messages) {
+          if (!msg.trim()) continue;
+          const json = JSON.parse(msg);
+          messageHandler(json);
+        }
+        partialChunk = '';
+      } catch (error) {
+        console.warn('Incomplete JSON, waiting for next chunk...');
+      }
+    }
+  };
+
+  const rewrite = (messageId: string) => {
+    const index = messages.findIndex((msg) => msg.messageId === messageId);
+
+    if (index === -1) return;
+
+    const message = messages[index - 1];
+
+    setMessages((prev) => {
+      return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
+    });
+    setChatHistory((prev) => {
+      return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
+    });
+
+    sendMessage(message.content, message.messageId, true);
+  };
+
+  useEffect(() => {
+    if (isReady && initialMessage && isConfigReady) {
+      sendMessage(initialMessage);
+    }
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [isConfigReady, isReady, initialMessage]);
+
   if (hasError) {
     return (
       <div className="relative">
@@ -75,11 +604,31 @@ const ChatWindow = () => {
       <div>
         {messages.length > 0 ? (
           <>
-            <Navbar />
-            <Chat />
+            <Navbar chatId={chatId!} messages={messages} />
+            <Chat
+              loading={loading}
+              messages={messages}
+              sendMessage={sendMessage}
+              messageAppeared={messageAppeared}
+              rewrite={rewrite}
+              fileIds={fileIds}
+              setFileIds={setFileIds}
+              files={files}
+              setFiles={setFiles}
+            />
           </>
         ) : (
-          <EmptyChat />
+          <EmptyChat
+            sendMessage={sendMessage}
+            focusMode={focusMode}
+            setFocusMode={setFocusMode}
+            optimizationMode={optimizationMode}
+            setOptimizationMode={setOptimizationMode}
+            fileIds={fileIds}
+            setFileIds={setFileIds}
+            files={files}
+            setFiles={setFiles}
+          />
         )}
       </div>
     )

src/components/Citation.tsx

@@ -1,19 +0,0 @@
-const Citation = ({
-  href,
-  children,
-}: {
-  href: string;
-  children: React.ReactNode;
-}) => {
-  return (
-    <a
-      href={href}
-      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"
-    >
-      {children}
-    </a>
-  );
-};
-
-export default Citation;

src/components/Discover/MajorNewsCard.tsx

@@ -1,70 +0,0 @@
-import { Discover } from '@/app/discover/page';
-import Link from 'next/link';
-
-const MajorNewsCard = ({
-  item,
-  isLeft = true,
-}: {
-  item: Discover;
-  isLeft?: boolean;
-}) => (
-  <Link
-    href={`/?q=Summary: ${item.url}`}
-    className="w-full group flex flex-row items-stretch gap-6 h-60 py-3"
-    target="_blank"
-  >
-    {isLeft ? (
-      <>
-        <div className="relative w-80 h-full overflow-hidden rounded-2xl flex-shrink-0">
-          <img
-            className="object-cover w-full h-full group-hover:scale-105 transition-transform duration-500"
-            src={
-              new URL(item.thumbnail).origin +
-              new URL(item.thumbnail).pathname +
-              `?id=${new URL(item.thumbnail).searchParams.get('id')}`
-            }
-            alt={item.title}
-          />
-        </div>
-        <div className="flex flex-col justify-center flex-1 py-4">
-          <h2
-            className="text-3xl font-light mb-3 leading-tight line-clamp-3 group-hover:text-cyan-500 dark:group-hover:text-cyan-300 transition duration-200"
-            style={{ fontFamily: 'PP Editorial, serif' }}
-          >
-            {item.title}
-          </h2>
-          <p className="text-black/60 dark:text-white/60 text-base leading-relaxed line-clamp-4">
-            {item.content}
-          </p>
-        </div>
-      </>
-    ) : (
-      <>
-        <div className="flex flex-col justify-center flex-1 py-4">
-          <h2
-            className="text-3xl font-light mb-3 leading-tight line-clamp-3 group-hover:text-cyan-500 dark:group-hover:text-cyan-300 transition duration-200"
-            style={{ fontFamily: 'PP Editorial, serif' }}
-          >
-            {item.title}
-          </h2>
-          <p className="text-black/60 dark:text-white/60 text-base leading-relaxed line-clamp-4">
-            {item.content}
-          </p>
-        </div>
-        <div className="relative w-80 h-full overflow-hidden rounded-2xl flex-shrink-0">
-          <img
-            className="object-cover w-full h-full group-hover:scale-105 transition-transform duration-500"
-            src={
-              new URL(item.thumbnail).origin +
-              new URL(item.thumbnail).pathname +
-              `?id=${new URL(item.thumbnail).searchParams.get('id')}`
-            }
-            alt={item.title}
-          />
-        </div>
-      </>
-    )}
-  </Link>
-);
-
-export default MajorNewsCard;

src/components/Discover/SmallNewsCard.tsx

@@ -1,32 +0,0 @@
-import { Discover } from '@/app/discover/page';
-import Link from 'next/link';
-
-const SmallNewsCard = ({ item }: { item: Discover }) => (
-  <Link
-    href={`/?q=Summary: ${item.url}`}
-    className="rounded-3xl overflow-hidden bg-light-secondary dark:bg-dark-secondary shadow-sm shadow-light-200/10 dark:shadow-black/25 group flex flex-col"
-    target="_blank"
-  >
-    <div className="relative aspect-video overflow-hidden">
-      <img
-        className="object-cover w-full h-full group-hover:scale-105 transition-transform duration-300"
-        src={
-          new URL(item.thumbnail).origin +
-          new URL(item.thumbnail).pathname +
-          `?id=${new URL(item.thumbnail).searchParams.get('id')}`
-        }
-        alt={item.title}
-      />
-    </div>
-    <div className="p-4">
-      <h3 className="font-semibold text-sm mb-2 leading-tight line-clamp-2 group-hover:text-cyan-500 dark:group-hover:text-cyan-300 transition duration-200">
-        {item.title}
-      </h3>
-      <p className="text-black/60 dark:text-white/60 text-xs leading-relaxed line-clamp-2">
-        {item.content}
-      </p>
-    </div>
-  </Link>
-);
-
-export default SmallNewsCard;

src/components/EmptyChat.tsx

@@ -5,7 +5,27 @@ import Link from 'next/link';
 import WeatherWidget from './WeatherWidget';
 import NewsArticleWidget from './NewsArticleWidget';
 
-const EmptyChat = () => {
+const EmptyChat = ({
+  sendMessage,
+  focusMode,
+  setFocusMode,
+  optimizationMode,
+  setOptimizationMode,
+  fileIds,
+  setFileIds,
+  files,
+  setFiles,
+}: {
+  sendMessage: (message: string) => void;
+  focusMode: string;
+  setFocusMode: (mode: string) => void;
+  optimizationMode: string;
+  setOptimizationMode: (mode: string) => void;
+  fileIds: string[];
+  setFileIds: (fileIds: string[]) => void;
+  files: File[];
+  setFiles: (files: File[]) => void;
+}) => {
   return (
     <div className="relative">
       <div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
@@ -18,7 +38,17 @@ const EmptyChat = () => {
           <h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
             Research begins here.
           </h2>
-          <EmptyChatMessageInput />
+          <EmptyChatMessageInput
+            sendMessage={sendMessage}
+            focusMode={focusMode}
+            setFocusMode={setFocusMode}
+            optimizationMode={optimizationMode}
+            setOptimizationMode={setOptimizationMode}
+            fileIds={fileIds}
+            setFileIds={setFileIds}
+            files={files}
+            setFiles={setFiles}
+          />
         </div>
         <div className="flex flex-col w-full gap-4 mt-2 sm:flex-row sm:justify-center">
           <div className="flex-1 w-full">

src/components/EmptyChatMessageInput.tsx

@@ -1,15 +1,34 @@
 import { ArrowRight } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
 import TextareaAutosize from 'react-textarea-autosize';
+import CopilotToggle from './MessageInputActions/Copilot';
 import Focus from './MessageInputActions/Focus';
 import Optimization from './MessageInputActions/Optimization';
 import Attach from './MessageInputActions/Attach';
-import { useChat } from '@/lib/hooks/useChat';
+import { File } from './ChatWindow';
 
-const EmptyChatMessageInput = () => {
-  const { sendMessage } = useChat();
-
-  /* const [copilotEnabled, setCopilotEnabled] = useState(false); */
+const EmptyChatMessageInput = ({
+  sendMessage,
+  focusMode,
+  setFocusMode,
+  optimizationMode,
+  setOptimizationMode,
+  fileIds,
+  setFileIds,
+  files,
+  setFiles,
+}: {
+  sendMessage: (message: string) => void;
+  focusMode: string;
+  setFocusMode: (mode: string) => void;
+  optimizationMode: string;
+  setOptimizationMode: (mode: string) => void;
+  fileIds: string[];
+  setFileIds: (fileIds: string[]) => void;
+  files: File[];
+  setFiles: (files: File[]) => void;
+}) => {
+  const [copilotEnabled, setCopilotEnabled] = useState(false);
   const [message, setMessage] = useState('');
 
   const inputRef = useRef<HTMLTextAreaElement | null>(null);
@@ -54,7 +73,7 @@ const EmptyChatMessageInput = () => {
       }}
       className="w-full"
     >
-      <div className="flex flex-col bg-light-secondary dark:bg-dark-secondary px-5 pt-5 pb-2 rounded-2xl w-full border border-light-200 dark:border-dark-200 shadow-sm shadow-light-200/10 dark:shadow-black/20 transition-all duration-200 focus-within:border-light-300 dark:focus-within:border-dark-300">
+      <div className="flex flex-col bg-light-secondary dark:bg-dark-secondary px-5 pt-5 pb-2 rounded-lg w-full border border-light-200 dark:border-dark-200">
         <TextareaAutosize
           ref={inputRef}
           value={message}
@@ -65,11 +84,20 @@ const EmptyChatMessageInput = () => {
         />
         <div className="flex flex-row items-center justify-between mt-4">
           <div className="flex flex-row items-center space-x-2 lg:space-x-4">
-            <Focus />
-            <Attach showText />
+            <Focus focusMode={focusMode} setFocusMode={setFocusMode} />
+            <Attach
+              fileIds={fileIds}
+              setFileIds={setFileIds}
+              files={files}
+              setFiles={setFiles}
+              showText
+            />
           </div>
           <div className="flex flex-row items-center space-x-1 sm:space-x-4">
-            <Optimization />
+            <Optimization
+              optimizationMode={optimizationMode}
+              setOptimizationMode={setOptimizationMode}
+            />
             <button
               disabled={message.trim().length === 0}
               className="bg-[#24A0ED] text-white disabled:text-black/50 dark:disabled:text-white/50 disabled:bg-[#e0e0dc] dark:disabled:bg-[#ececec21] hover:bg-opacity-85 transition duration-100 rounded-full p-2"

src/components/MessageActions/Copy.tsx

@@ -1,13 +1,12 @@
 import { Check, ClipboardList } from 'lucide-react';
 import { Message } from '../ChatWindow';
 import { useState } from 'react';
-import { Section } from '@/lib/hooks/useChat';
 
 const Copy = ({
-  section,
+  message,
   initialMessage,
 }: {
-  section: Section;
+  message: Message;
   initialMessage: string;
 }) => {
   const [copied, setCopied] = useState(false);
@@ -15,7 +14,7 @@ const Copy = ({
   return (
     <button
       onClick={() => {
-        const contentToCopy = `${initialMessage}${section?.sourceMessage?.sources && section.sourceMessage.sources.length > 0 && `\n\nCitations:\n${section.sourceMessage.sources?.map((source: any, i: any) => `[${i + 1}] ${source.metadata.url}`).join(`\n`)}`}`;
+        const contentToCopy = `${initialMessage}${message.sources && message.sources.length > 0 && `\n\nCitations:\n${message.sources?.map((source: any, i: any) => `[${i + 1}] ${source.metadata.url}`).join(`\n`)}`}`;
         navigator.clipboard.writeText(contentToCopy);
         setCopied(true);
         setTimeout(() => setCopied(false), 1000);

src/components/MessageBox.tsx

@@ -1,7 +1,8 @@
 'use client';
 
 /* eslint-disable @next/next/no-img-element */
-import React, { MutableRefObject } from 'react';
+import React, { MutableRefObject, useEffect, useState } from 'react';
+import { Message } from './ChatWindow';
 import { cn } from '@/lib/utils';
 import {
   BookCopy,
@@ -19,8 +20,8 @@ import SearchImages from './SearchImages';
 import SearchVideos from './SearchVideos';
 import { useSpeech } from 'react-text-to-speech';
 import ThinkBox from './ThinkBox';
-import { useChat, Section } from '@/lib/hooks/useChat';
-import Citation from './Citation';
+import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
+import { SyntaxHighlightedCode } from './SyntaxHighlightedCode';
 
 const ThinkTagProcessor = ({
   children,
@@ -35,21 +36,97 @@ const ThinkTagProcessor = ({
 };
 
 const MessageBox = ({
-  section,
-  sectionIndex,
+  message,
+  messageIndex,
+  history,
+  loading,
   dividerRef,
   isLast,
+  rewrite,
+  sendMessage,
 }: {
-  section: Section;
-  sectionIndex: number;
+  message: Message;
+  messageIndex: number;
+  history: Message[];
+  loading: boolean;
   dividerRef?: MutableRefObject<HTMLDivElement | null>;
   isLast: boolean;
+  rewrite: (messageId: string) => void;
+  sendMessage: (message: string) => void;
 }) => {
-  const { loading, chatTurns, sendMessage, rewrite } = useChat();
+  const [parsedMessage, setParsedMessage] = useState(message.content);
+  const [speechMessage, setSpeechMessage] = useState(message.content);
+  const [thinkingEnded, setThinkingEnded] = useState(false);
 
-  const parsedMessage = section.parsedAssistantMessage || '';
-  const speechMessage = section.speechMessage || '';
-  const thinkingEnded = section.thinkingEnded;
+  useEffect(() => {
+    const citationRegex = /\[([^\]]+)\]/g;
+    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.content.includes('</think>')) {
+      setThinkingEnded(true);
+    }
+
+    if (
+      message.role === 'assistant' &&
+      message?.sources &&
+      message.sources.length > 0
+    ) {
+      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 ``;
+                }
+              })
+              .join('');
+
+            return linksHtml;
+          },
+        ),
+      );
+      setSpeechMessage(message.content.replace(regex, ''));
+      return;
+    } else if (
+      message.role === 'assistant' &&
+      message?.sources &&
+      message.sources.length === 0
+    ) {
+      setParsedMessage(processedMessage.replace(regex, ''));
+      setSpeechMessage(message.content.replace(regex, ''));
+      return;
+    }
+
+    setSpeechMessage(message.content.replace(regex, ''));
+    setParsedMessage(processedMessage);
+  }, [message.content, message.sources, message.role]);
 
   const { speechStatus, start, stop } = useSpeech({ text: speechMessage });
 
@@ -61,27 +138,35 @@ const MessageBox = ({
           thinkingEnded: thinkingEnded,
         },
       },
-      citation: {
-        component: Citation,
+      code: {
+        component: SyntaxHighlightedCode,
       },
     },
   };
 
   return (
-    <div className="space-y-6">
-      <div className={'w-full pt-8 break-words'}>
+    <div>
+      {message.role === 'user' && (
+        <div
+          className={cn(
+            'w-full',
+            messageIndex === 0 ? 'pt-16' : 'pt-8',
+            'break-words',
+          )}
+        >
           <h2 className="text-black dark:text-white font-medium text-3xl lg:w-9/12">
-          {section.userMessage.content}
+            {message.content}
           </h2>
         </div>
+      )}
 
+      {message.role === 'assistant' && (
         <div className="flex flex-col space-y-9 lg:space-y-0 lg:flex-row lg:justify-between lg:space-x-9">
           <div
             ref={dividerRef}
             className="flex flex-col space-y-6 w-full lg:w-9/12"
           >
-          {section.sourceMessage &&
-            section.sourceMessage.sources.length > 0 && (
+            {message.sources && message.sources.length > 0 && (
               <div className="flex flex-col space-y-2">
                 <div className="flex flex-row items-center space-x-2">
                   <BookCopy className="text-black dark:text-white" size={20} />
@@ -89,12 +174,10 @@ const MessageBox = ({
                     Sources
                   </h3>
                 </div>
-                <MessageSources sources={section.sourceMessage.sources} />
+                <MessageSources sources={message.sources} />
               </div>
             )}
-
             <div className="flex flex-col space-y-2">
-            {section.sourceMessage && (
               <div className="flex flex-row items-center space-x-2">
                 <Disc3
                   className={cn(
@@ -107,10 +190,7 @@ const MessageBox = ({
                   Answer
                 </h3>
               </div>
-            )}
 
-            {section.assistantMessage && (
-              <>
               <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]',
@@ -120,20 +200,16 @@ const MessageBox = ({
               >
                 {parsedMessage}
               </Markdown>
-
               {loading && isLast ? null : (
                 <div className="flex flex-row items-center justify-between w-full text-black dark:text-white py-4 -mx-2">
                   <div className="flex flex-row items-center space-x-1">
-                      <Rewrite
-                        rewrite={rewrite}
-                        messageId={section.assistantMessage.messageId}
-                      />
+                    {/*  <button className="p-2 text-black/70 dark:text-white/70 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black text-black dark:hover:text-white">
+                      <Share size={18} />
+                    </button> */}
+                    <Rewrite rewrite={rewrite} messageId={message.messageId} />
                   </div>
                   <div className="flex flex-row items-center space-x-1">
-                      <Copy
-                        initialMessage={section.assistantMessage.content}
-                        section={section}
-                      />
+                    <Copy initialMessage={message.content} message={message} />
                     <button
                       onClick={() => {
                         if (speechStatus === 'started') {
@@ -153,69 +229,61 @@ const MessageBox = ({
                   </div>
                 </div>
               )}
-
               {isLast &&
-                  section.suggestions &&
-                  section.suggestions.length > 0 &&
-                  section.assistantMessage &&
+                message.suggestions &&
+                message.suggestions.length > 0 &&
+                message.role === 'assistant' &&
                 !loading && (
-                    <div className="mt-8 pt-6 border-t border-light-200/50 dark:border-dark-200/50">
-                      <div className="flex flex-row items-center space-x-2 mb-4">
-                        <Layers3
-                          className="text-black dark:text-white"
-                          size={20}
-                        />
-                        <h3 className="text-black dark:text-white font-medium text-xl">
-                          Related
-                        </h3>
+                  <>
+                    <div className="h-px w-full bg-light-secondary dark:bg-dark-secondary" />
+                    <div className="flex flex-col space-y-3 text-black dark:text-white">
+                      <div className="flex flex-row items-center space-x-2 mt-4">
+                        <Layers3 />
+                        <h3 className="text-xl font-medium">Related</h3>
                       </div>
-                      <div className="space-y-0">
-                        {section.suggestions.map(
-                          (suggestion: string, i: number) => (
-                            <div key={i}>
-                              {i > 0 && (
-                                <div className="h-px bg-light-200/40 dark:bg-dark-200/40 mx-3" />
-                              )}
-                              <button
-                                onClick={() => sendMessage(suggestion)}
-                                className="group w-full px-3 py-4 text-left transition-colors duration-200"
+                      <div className="flex flex-col space-y-3">
+                        {message.suggestions.map((suggestion, i) => (
+                          <div
+                            className="flex flex-col space-y-3 text-sm"
+                            key={i}
                           >
-                                <div className="flex items-center justify-between gap-3">
-                                  <p className="text-sm text-black/70 dark:text-white/70 group-hover:text-[#24A0ED] transition-colors duration-200 leading-relaxed">
+                            <div className="h-px w-full bg-light-secondary dark:bg-dark-secondary" />
+                            <div
+                              onClick={() => {
+                                sendMessage(suggestion);
+                              }}
+                              className="cursor-pointer flex flex-row justify-between font-medium space-x-2 items-center"
+                            >
+                              <p className="transition duration-200 hover:text-[#24A0ED]">
                                 {suggestion}
                               </p>
                               <Plus
-                                    size={16}
-                                    className="text-black/40 dark:text-white/40 group-hover:text-[#24A0ED] transition-colors duration-200 flex-shrink-0"
+                                size={20}
+                                className="text-[#24A0ED] flex-shrink-0"
                               />
                             </div>
-                              </button>
                           </div>
-                          ),
-                        )}
+                        ))}
                       </div>
                     </div>
-                  )}
                   </>
                 )}
             </div>
           </div>
-
-        {section.assistantMessage && (
           <div className="lg:sticky lg:top-20 flex flex-col items-center space-y-3 w-full lg:w-3/12 z-30 h-full pb-4">
             <SearchImages
-              query={section.userMessage.content}
-              chatHistory={chatTurns.slice(0, sectionIndex * 2)}
-              messageId={section.assistantMessage.messageId}
+              query={history[messageIndex - 1].content}
+              chatHistory={history.slice(0, messageIndex - 1)}
+              messageId={message.messageId}
             />
             <SearchVideos
-              chatHistory={chatTurns.slice(0, sectionIndex * 2)}
-              query={section.userMessage.content}
-              messageId={section.assistantMessage.messageId}
+              chatHistory={history.slice(0, messageIndex - 1)}
+              query={history[messageIndex - 1].content}
+              messageId={message.messageId}
             />
           </div>
-        )}
         </div>
+      )}
     </div>
   );
 };

src/components/MessageInput.tsx

@@ -6,11 +6,22 @@ import Attach from './MessageInputActions/Attach';
 import CopilotToggle from './MessageInputActions/Copilot';
 import { File } from './ChatWindow';
 import AttachSmall from './MessageInputActions/AttachSmall';
-import { useChat } from '@/lib/hooks/useChat';
-
-const MessageInput = () => {
-  const { loading, sendMessage } = useChat();
 
+const MessageInput = ({
+  sendMessage,
+  loading,
+  fileIds,
+  setFileIds,
+  files,
+  setFiles,
+}: {
+  sendMessage: (message: string) => void;
+  loading: boolean;
+  fileIds: string[];
+  setFileIds: (fileIds: string[]) => void;
+  files: File[];
+  setFiles: (files: File[]) => void;
+}) => {
   const [copilotEnabled, setCopilotEnabled] = useState(false);
   const [message, setMessage] = useState('');
   const [textareaRows, setTextareaRows] = useState(1);
@@ -64,11 +75,18 @@ const MessageInput = () => {
         }
       }}
       className={cn(
-        'bg-light-secondary dark:bg-dark-secondary p-4 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 shadow-sm shadow-light-200/10 dark:shadow-black/20 transition-all duration-200 focus-within:border-light-300 dark:focus-within:border-dark-300',
-        mode === 'multi' ? 'flex-col rounded-2xl' : 'flex-row rounded-full',
+        'bg-light-secondary dark:bg-dark-secondary p-4 flex items-center overflow-hidden border border-light-200 dark:border-dark-200',
+        mode === 'multi' ? 'flex-col rounded-lg' : 'flex-row rounded-full',
       )}
     >
-      {mode === 'single' && <AttachSmall />}
+      {mode === 'single' && (
+        <AttachSmall
+          fileIds={fileIds}
+          setFileIds={setFileIds}
+          files={files}
+          setFiles={setFiles}
+        />
+      )}
       <TextareaAutosize
         ref={inputRef}
         value={message}
@@ -95,7 +113,12 @@ const MessageInput = () => {
       )}
       {mode === 'multi' && (
         <div className="flex flex-row items-center justify-between w-full pt-2">
-          <AttachSmall />
+          <AttachSmall
+            fileIds={fileIds}
+            setFileIds={setFileIds}
+            files={files}
+            setFiles={setFiles}
+          />
           <div className="flex flex-row items-center space-x-4">
             <CopilotToggle
               copilotEnabled={copilotEnabled}

src/components/MessageInputActions/Attach.tsx

@@ -7,11 +7,21 @@ import {
 } from '@headlessui/react';
 import { CopyPlus, File, LoaderCircle, Plus, Trash } from 'lucide-react';
 import { Fragment, useRef, useState } from 'react';
-import { useChat } from '@/lib/hooks/useChat';
-
-const Attach = ({ showText }: { showText?: boolean }) => {
-  const { files, setFiles, setFileIds, fileIds } = useChat();
+import { File as FileType } from '../ChatWindow';
 
+const Attach = ({
+  fileIds,
+  setFileIds,
+  showText,
+  files,
+  setFiles,
+}: {
+  fileIds: string[];
+  setFileIds: (fileIds: string[]) => void;
+  showText?: boolean;
+  files: FileType[];
+  setFiles: (files: FileType[]) => void;
+}) => {
   const [loading, setLoading] = useState(false);
   const fileInputRef = useRef<any>();
 
@@ -132,11 +142,8 @@ const Attach = ({ showText }: { showText?: boolean }) => {
                   key={i}
                   className="flex flex-row items-center justify-start w-full space-x-3 p-3"
                 >
-                  <div className="bg-light-100 dark:bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
-                    <File
-                      size={16}
-                      className="text-black/70 dark:text-white/70"
-                    />
+                  <div className="bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
+                    <File size={16} className="text-white/70" />
                   </div>
                   <p className="text-black/70 dark:text-white/70 text-sm">
                     {file.fileName.length > 25

src/components/MessageInputActions/AttachSmall.tsx

@@ -8,11 +8,18 @@ import {
 import { CopyPlus, File, LoaderCircle, Plus, Trash } from 'lucide-react';
 import { Fragment, useRef, useState } from 'react';
 import { File as FileType } from '../ChatWindow';
-import { useChat } from '@/lib/hooks/useChat';
-
-const AttachSmall = () => {
-  const { files, setFiles, setFileIds, fileIds } = useChat();
 
+const AttachSmall = ({
+  fileIds,
+  setFileIds,
+  files,
+  setFiles,
+}: {
+  fileIds: string[];
+  setFileIds: (fileIds: string[]) => void;
+  files: FileType[];
+  setFiles: (files: FileType[]) => void;
+}) => {
   const [loading, setLoading] = useState(false);
   const fileInputRef = useRef<any>();
 
@@ -107,11 +114,8 @@ const AttachSmall = () => {
                   key={i}
                   className="flex flex-row items-center justify-start w-full space-x-3 p-3"
                 >
-                  <div className="bg-light-100 dark:bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
-                    <File
-                      size={16}
-                      className="text-black/70 dark:text-white/70"
-                    />
+                  <div className="bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
+                    <File size={16} className="text-white/70" />
                   </div>
                   <p className="text-black/70 dark:text-white/70 text-sm">
                     {file.fileName.length > 25

src/components/MessageInputActions/Focus.tsx

@@ -15,7 +15,6 @@ import {
 } from '@headlessui/react';
 import { SiReddit, SiYoutube } from '@icons-pack/react-simple-icons';
 import { Fragment } from 'react';
-import { useChat } from '@/lib/hooks/useChat';
 
 const focusModes = [
   {
@@ -56,14 +55,18 @@ const focusModes = [
   },
 ];
 
-const Focus = () => {
-  const { focusMode, setFocusMode } = useChat();
-
+const Focus = ({
+  focusMode,
+  setFocusMode,
+}: {
+  focusMode: string;
+  setFocusMode: (mode: string) => void;
+}) => {
   return (
     <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg mt-[6.5px]">
       <PopoverButton
         type="button"
-        className="active:border-none headless-open:text-black dark:headless-open:text-white text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
+        className=" text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
       >
         {focusMode !== 'webSearch' ? (
           <div className="flex flex-row items-center space-x-1">

src/components/MessageInputActions/Optimization.tsx

@@ -7,7 +7,6 @@ import {
   Transition,
 } from '@headlessui/react';
 import { Fragment } from 'react';
-import { useChat } from '@/lib/hooks/useChat';
 
 const OptimizationModes = [
   {
@@ -35,9 +34,13 @@ const OptimizationModes = [
   },
 ];
 
-const Optimization = () => {
-  const { optimizationMode, setOptimizationMode } = useChat();
-
+const Optimization = ({
+  optimizationMode,
+  setOptimizationMode,
+}: {
+  optimizationMode: string;
+  setOptimizationMode: (mode: string) => void;
+}) => {
   return (
     <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
       <PopoverButton

src/components/Navbar.tsx

@@ -10,7 +10,6 @@ import {
   Transition,
 } from '@headlessui/react';
 import jsPDF from 'jspdf';
-import { useChat, Section } from '@/lib/hooks/useChat';
 
 const downloadFile = (filename: string, content: string, type: string) => {
   const blob = new Blob([content], { type });
@@ -26,37 +25,19 @@ const downloadFile = (filename: string, content: string, type: string) => {
   }, 0);
 };
 
-const exportAsMarkdown = (sections: Section[], title: string) => {
-  const date = new Date(
-    sections[0]?.userMessage?.createdAt || Date.now(),
-  ).toLocaleString();
+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: ${date}*\n\n---\n`;
-
-  sections.forEach((section, idx) => {
-    if (section.userMessage) {
+  messages.forEach((msg, idx) => {
     md += `\n---\n`;
-      md += `**🧑 User**  
+    md += `**${msg.role === 'user' ? '🧑 User' : '🤖 Assistant'}**  
 `;
-      md += `*${new Date(section.userMessage.createdAt).toLocaleString()}*\n\n`;
-      md += `> ${section.userMessage.content.replace(/\n/g, '\n> ')}\n`;
-    }
-
-    if (section.assistantMessage) {
-      md += `\n---\n`;
-      md += `**🤖 Assistant**  
-`;
-      md += `*${new Date(section.assistantMessage.createdAt).toLocaleString()}*\n\n`;
-      md += `> ${section.assistantMessage.content.replace(/\n/g, '\n> ')}\n`;
-    }
-
-    if (
-      section.sourceMessage &&
-      section.sourceMessage.sources &&
-      section.sourceMessage.sources.length > 0
-    ) {
+    md += `*${new Date(msg.createdAt).toLocaleString()}*\n\n`;
+    md += `> ${msg.content.replace(/\n/g, '\n> ')}\n`;
+    if (msg.sources && msg.sources.length > 0) {
       md += `\n**Citations:**\n`;
-      section.sourceMessage.sources.forEach((src: any, i: number) => {
+      msg.sources.forEach((src: any, i: number) => {
         const url = src.metadata?.url || '';
         md += `- [${i + 1}] [${url}](${url})\n`;
       });
@@ -66,11 +47,9 @@ const exportAsMarkdown = (sections: Section[], title: string) => {
   downloadFile(`${title || 'chat'}.md`, md, 'text/markdown');
 };
 
-const exportAsPDF = (sections: Section[], title: string) => {
+const exportAsPDF = (messages: Message[], title: string) => {
   const doc = new jsPDF();
-  const date = new Date(
-    sections[0]?.userMessage?.createdAt || Date.now(),
-  ).toLocaleString();
+  const date = new Date(messages[0]?.createdAt || Date.now()).toLocaleString();
   let y = 15;
   const pageHeight = doc.internal.pageSize.height;
   doc.setFontSize(18);
@@ -84,81 +63,30 @@ const exportAsPDF = (sections: Section[], title: string) => {
   doc.line(10, y, 200, y);
   y += 6;
   doc.setTextColor(30);
-
-  sections.forEach((section, idx) => {
-    if (section.userMessage) {
+  messages.forEach((msg, idx) => {
     if (y > pageHeight - 30) {
       doc.addPage();
       y = 15;
     }
     doc.setFont('helvetica', 'bold');
-      doc.text('User', 10, y);
+    doc.text(`${msg.role === 'user' ? 'User' : 'Assistant'}`, 10, y);
     doc.setFont('helvetica', 'normal');
     doc.setFontSize(10);
     doc.setTextColor(120);
-      doc.text(
-        `${new Date(section.userMessage.createdAt).toLocaleString()}`,
-        40,
-        y,
-      );
+    doc.text(`${new Date(msg.createdAt).toLocaleString()}`, 40, y);
     y += 6;
     doc.setTextColor(30);
     doc.setFontSize(12);
-      const userLines = doc.splitTextToSize(section.userMessage.content, 180);
-      for (let i = 0; i < userLines.length; i++) {
+    const lines = doc.splitTextToSize(msg.content, 180);
+    for (let i = 0; i < lines.length; i++) {
       if (y > pageHeight - 20) {
         doc.addPage();
         y = 15;
       }
-        doc.text(userLines[i], 12, y);
+      doc.text(lines[i], 12, y);
       y += 6;
     }
-      y += 6;
-      doc.setDrawColor(230);
-      if (y > pageHeight - 10) {
-        doc.addPage();
-        y = 15;
-      }
-      doc.line(10, y, 200, y);
-      y += 4;
-    }
-
-    if (section.assistantMessage) {
-      if (y > pageHeight - 30) {
-        doc.addPage();
-        y = 15;
-      }
-      doc.setFont('helvetica', 'bold');
-      doc.text('Assistant', 10, y);
-      doc.setFont('helvetica', 'normal');
-      doc.setFontSize(10);
-      doc.setTextColor(120);
-      doc.text(
-        `${new Date(section.assistantMessage.createdAt).toLocaleString()}`,
-        40,
-        y,
-      );
-      y += 6;
-      doc.setTextColor(30);
-      doc.setFontSize(12);
-      const assistantLines = doc.splitTextToSize(
-        section.assistantMessage.content,
-        180,
-      );
-      for (let i = 0; i < assistantLines.length; i++) {
-        if (y > pageHeight - 20) {
-          doc.addPage();
-          y = 15;
-        }
-        doc.text(assistantLines[i], 12, y);
-        y += 6;
-      }
-
-      if (
-        section.sourceMessage &&
-        section.sourceMessage.sources &&
-        section.sourceMessage.sources.length > 0
-      ) {
+    if (msg.sources && msg.sources.length > 0) {
       doc.setFontSize(11);
       doc.setTextColor(80);
       if (y > pageHeight - 20) {
@@ -167,7 +95,7 @@ const exportAsPDF = (sections: Section[], title: string) => {
       }
       doc.text('Citations:', 12, y);
       y += 5;
-        section.sourceMessage.sources.forEach((src: any, i: number) => {
+      msg.sources.forEach((src: any, i: number) => {
         const url = src.metadata?.url || '';
         if (y > pageHeight - 15) {
           doc.addPage();
@@ -186,38 +114,41 @@ const exportAsPDF = (sections: Section[], title: string) => {
     }
     doc.line(10, y, 200, y);
     y += 4;
-    }
   });
   doc.save(`${title || 'chat'}.pdf`);
 };
 
-const Navbar = () => {
+const Navbar = ({
+  chatId,
+  messages,
+}: {
+  messages: Message[];
+  chatId: string;
+}) => {
   const [title, setTitle] = useState<string>('');
   const [timeAgo, setTimeAgo] = useState<string>('');
 
-  const { sections, chatId } = useChat();
-
   useEffect(() => {
-    if (sections.length > 0 && sections[0].userMessage) {
+    if (messages.length > 0) {
       const newTitle =
-        sections[0].userMessage.content.length > 20
-          ? `${sections[0].userMessage.content.substring(0, 20).trim()}...`
-          : sections[0].userMessage.content;
+        messages[0].content.length > 20
+          ? `${messages[0].content.substring(0, 20).trim()}...`
+          : messages[0].content;
       setTitle(newTitle);
       const newTimeAgo = formatTimeDifference(
         new Date(),
-        sections[0].userMessage.createdAt,
+        messages[0].createdAt,
       );
       setTimeAgo(newTimeAgo);
     }
-  }, [sections]);
+  }, [messages]);
 
   useEffect(() => {
     const intervalId = setInterval(() => {
-      if (sections.length > 0 && sections[0].userMessage) {
+      if (messages.length > 0) {
         const newTimeAgo = formatTimeDifference(
           new Date(),
-          sections[0].userMessage.createdAt,
+          messages[0].createdAt,
         );
         setTimeAgo(newTimeAgo);
       }
@@ -228,91 +159,54 @@ const Navbar = () => {
   }, []);
 
   return (
-    <div className="sticky -mx-4 lg:mx-0 top-0 z-40 bg-light-primary/95 dark:bg-dark-primary/95 backdrop-blur-sm border-b border-light-200/50 dark:border-dark-200/30">
-      <div className="px-4 lg:px-6 py-4">
-        <div className="flex items-center justify-between">
-          <div className="flex items-center min-w-0">
+    <div className="fixed z-40 top-0 left-0 right-0 px-4 lg:pl-[104px] lg:pr-6 lg:px-8 flex flex-row items-center justify-between w-full py-4 text-sm text-black dark:text-white/70 border-b bg-light-primary dark:bg-dark-primary border-light-100 dark:border-dark-200">
       <a
         href="/"
-              className="lg:hidden mr-3 p-2 -ml-2 rounded-lg hover:bg-light-secondary dark:hover:bg-dark-secondary transition-colors duration-200"
+        className="active:scale-95 transition duration-100 cursor-pointer lg:hidden"
       >
-              <Edit size={18} className="text-black/70 dark:text-white/70" />
+        <Edit size={17} />
       </a>
-            <div className="hidden lg:flex items-center gap-2 text-black/50 dark:text-white/50 min-w-0">
-              <Clock size={14} />
-              <span className="text-xs whitespace-nowrap">{timeAgo} ago</span>
-            </div>
+      <div className="hidden lg:flex flex-row items-center justify-center space-x-2">
+        <Clock size={17} />
+        <p className="text-xs">{timeAgo} ago</p>
       </div>
+      <p className="hidden lg:flex">{title}</p>
 
-          <div className="flex-1 mx-4 min-w-0">
-            <h1 className="text-center text-sm font-medium text-black/80 dark:text-white/90 truncate">
-              {title || 'New Conversation'}
-            </h1>
-          </div>
-
-          <div className="flex items-center gap-1 min-w-0">
+      <div className="flex flex-row items-center space-x-4">
         <Popover className="relative">
-              <PopoverButton className="p-2 rounded-lg hover:bg-light-secondary dark:hover:bg-dark-secondary transition-colors duration-200">
-                <Share size={16} className="text-black/60 dark:text-white/60" />
+          <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-200"
+            enter="transition ease-out duration-100"
             enterFrom="opacity-0 translate-y-1"
             enterTo="opacity-100 translate-y-0"
-                leave="transition ease-in duration-150"
+            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 origin-top-right rounded-2xl bg-light-primary dark:bg-dark-primary border border-light-200 dark:border-dark-200 shadow-xl shadow-black/10 dark:shadow-black/30 z-50">
-                  <div className="p-3">
-                    <div className="mb-2">
-                      <p className="text-xs font-medium text-black/40 dark:text-white/40 uppercase tracking-wide">
-                        Export Chat
-                      </p>
-                    </div>
-                    <div className="space-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="w-full flex items-center gap-3 px-3 py-2 text-left rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary transition-colors duration-200"
-                        onClick={() => exportAsMarkdown(sections, title || '')}
+                  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={16} className="text-[#24A0ED]" />
-                        <div>
-                          <p className="text-sm font-medium text-black dark:text-white">
-                            Markdown
-                          </p>
-                          <p className="text-xs text-black/50 dark:text-white/50">
-                            .md format
-                          </p>
-                        </div>
+                  <FileText size={17} className="text-[#24A0ED]" />
+                  Export as Markdown
                 </button>
                 <button
-                        className="w-full flex items-center gap-3 px-3 py-2 text-left rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary transition-colors duration-200"
-                        onClick={() => exportAsPDF(sections, title || '')}
+                  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={16} className="text-[#24A0ED]" />
-                        <div>
-                          <p className="text-sm font-medium text-black dark:text-white">
-                            PDF
-                          </p>
-                          <p className="text-xs text-black/50 dark:text-white/50">
-                            Document format
-                          </p>
-                        </div>
+                  <FileDown size={17} className="text-[#24A0ED]" />
+                  Export as PDF
                 </button>
               </div>
-                  </div>
             </PopoverPanel>
           </Transition>
         </Popover>
-            <DeleteChat
-              redirect
-              chatId={chatId!}
-              chats={[]}
-              setChats={() => {}}
-            />
-          </div>
-        </div>
+        <DeleteChat redirect chatId={chatId} chats={[]} setChats={() => {}} />
       </div>
     </div>
   );

src/components/NewsArticleWidget.tsx

@@ -27,25 +27,26 @@ const NewsArticleWidget = () => {
   }, []);
 
   return (
-    <div className="bg-light-secondary dark:bg-dark-secondary rounded-2xl border border-light-200 dark:border-dark-200 shadow-sm shadow-light-200/10 dark:shadow-black/25 flex flex-row items-stretch w-full h-24 min-h-[96px] max-h-[96px] p-0 overflow-hidden">
+    <div className="bg-light-secondary dark:bg-dark-secondary rounded-xl border border-light-200 dark:border-dark-200 shadow-sm flex flex-row items-center w-full h-24 min-h-[96px] max-h-[96px] px-3 py-2 gap-3 overflow-hidden">
       {loading ? (
-        <div className="animate-pulse flex flex-row items-stretch w-full h-full">
-          <div className="w-24 min-w-24 max-w-24 h-full bg-light-200 dark:bg-dark-200" />
-          <div className="flex flex-col justify-center flex-1 px-3 py-2 gap-2">
+        <>
+          <div className="animate-pulse flex flex-row items-center w-full h-full">
+            <div className="rounded-lg w-16 min-w-16 max-w-16 h-16 min-h-16 max-h-16 bg-light-200 dark:bg-dark-200 mr-3" />
+            <div className="flex flex-col justify-center flex-1 h-full w-0 gap-2">
               <div className="h-4 w-3/4 rounded bg-light-200 dark:bg-dark-200" />
               <div className="h-3 w-1/2 rounded bg-light-200 dark:bg-dark-200" />
             </div>
           </div>
+        </>
       ) : error ? (
         <div className="w-full text-xs text-red-400">Could not load news.</div>
       ) : article ? (
         <a
           href={`/?q=Summary: ${article.url}`}
-          className="flex flex-row items-stretch w-full h-full relative overflow-hidden group"
+          className="flex flex-row items-center w-full h-full group"
         >
-          <div className="relative w-24 min-w-24 max-w-24 h-full overflow-hidden">
           <img
-              className="object-cover w-full h-full bg-light-200 dark:bg-dark-200 group-hover:scale-110 transition-transform duration-300"
+            className="object-cover rounded-lg w-16 min-w-16 max-w-16 h-16 min-h-16 max-h-16 border border-light-200 dark:border-dark-200 bg-light-200 dark:bg-dark-200 group-hover:opacity-90 transition"
             src={
               new URL(article.thumbnail).origin +
               new URL(article.thumbnail).pathname +
@@ -53,12 +54,11 @@ const NewsArticleWidget = () => {
             }
             alt={article.title}
           />
-          </div>
-          <div className="flex flex-col justify-center flex-1 px-3 py-2">
-            <div className="font-semibold text-xs text-black dark:text-white leading-tight line-clamp-2 mb-1">
+          <div className="flex flex-col justify-center flex-1 h-full pl-3 w-0">
+            <div className="font-bold text-xs text-black dark:text-white leading-tight truncate overflow-hidden whitespace-nowrap">
               {article.title}
             </div>
-            <p className="text-black/60 dark:text-white/60 text-[10px] leading-relaxed line-clamp-2">
+            <p className="text-black/70 dark:text-white/70 text-xs leading-snug truncate overflow-hidden whitespace-nowrap">
               {article.content}
             </p>
           </div>

src/components/Sidebar.tsx

@@ -40,7 +40,7 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
   return (
     <div>
       <div className="hidden lg:fixed lg:inset-y-0 lg:z-50 lg:flex lg:w-20 lg:flex-col">
-        <div className="flex grow flex-col items-center justify-between gap-y-5 overflow-y-auto bg-light-secondary dark:bg-dark-secondary px-2 py-8 mx-2 my-2 rounded-2xl shadow-sm shadow-light-200/10 dark:shadow-black/25">
+        <div className="flex grow flex-col items-center justify-between gap-y-5 overflow-y-auto bg-light-secondary dark:bg-dark-secondary px-2 py-8">
           <a href="/">
             <SquarePen className="cursor-pointer" />
           </a>

src/components/SyntaxHighlightedCode.tsx

@@ -0,0 +1,30 @@
+import React, { HTMLProps } from 'react';
+import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
+import {
+  coldarkDark,
+  coldarkCold,
+} from 'react-syntax-highlighter/dist/esm/styles/prism';
+
+export const SyntaxHighlightedCode = (props: HTMLProps<HTMLDivElement>) => {
+  const isDarkTheme = document.documentElement.classList.contains('dark');
+  const language = props.className?.match(/lang-([a-zA-Z0-9_-]+)/)![1];
+
+  return language ? (
+    <div className="not-prose">
+      <SyntaxHighlighter
+        customStyle={{
+          margin: 0,
+          backgroundColor: isDarkTheme ? '#111111' : '#f3f3ee',
+        }}
+        language={language}
+        style={isDarkTheme ? coldarkDark : coldarkCold}
+      >
+        {props.children as string}
+      </SyntaxHighlighter>
+    </div>
+  ) : (
+    <code className="inline bg-light-100 dark:bg-dark-100 px-2 py-1 rounded-lg text-sm not-prose">
+      {props.children}
+    </code>
+  );
+};

src/components/WeatherWidget.tsx

@@ -15,6 +15,7 @@ const WeatherWidget = () => {
 
   const [loading, setLoading] = useState(true);
 
+  useEffect(() => {
     const getApproxLocation = async () => {
       const res = await fetch('https://ipwhois.app/json/');
       const data = await res.json();
@@ -69,7 +70,6 @@ const WeatherWidget = () => {
       }
     };
 
-  const updateWeather = async () => {
     getLocation(async (location) => {
       const res = await fetch(`/api/weather`, {
         method: 'POST',
@@ -100,16 +100,10 @@ const WeatherWidget = () => {
       });
       setLoading(false);
     });
-  };
-
-  useEffect(() => {
-    updateWeather();
-    const intervalId = setInterval(updateWeather, 2 * 60 * 1000);
-    return () => clearInterval(intervalId);
   }, []);
 
   return (
-    <div className="bg-light-secondary dark:bg-dark-secondary rounded-2xl border border-light-200 dark:border-dark-200 shadow-sm shadow-light-200/10 dark:shadow-black/25 flex flex-row items-center w-full h-24 min-h-[96px] max-h-[96px] px-3 py-2 gap-3">
+    <div className="bg-light-secondary dark:bg-dark-secondary rounded-xl border border-light-200 dark:border-dark-200 shadow-sm flex flex-row items-center w-full h-24 min-h-[96px] max-h-[96px] px-3 py-2 gap-3">
       {loading ? (
         <>
           <div className="flex flex-col items-center justify-center w-16 min-w-16 max-w-16 h-full animate-pulse">
@@ -140,24 +134,22 @@ const WeatherWidget = () => {
               {data.temperature}°{data.temperatureUnit}
             </span>
           </div>
-          <div className="flex flex-col justify-between flex-1 h-full py-2">
+          <div className="flex flex-col justify-between flex-1 h-full py-1">
             <div className="flex flex-row items-center justify-between">
-              <span className="text-sm font-semibold text-black dark:text-white">
+              <span className="text-xs font-medium text-black dark:text-white">
                 {data.location}
               </span>
-              <span className="flex items-center text-xs text-black/60 dark:text-white/60 font-medium">
+              <span className="flex items-center text-xs text-black/60 dark:text-white/60">
                 <Wind className="w-3 h-3 mr-1" />
                 {data.windSpeed} {data.windSpeedUnit}
               </span>
             </div>
-            <span className="text-xs text-black/50 dark:text-white/50 italic">
+            <span className="text-xs text-black/60 dark:text-white/60 mt-1">
               {data.condition}
             </span>
-            <div className="flex flex-row justify-between w-full mt-auto pt-2 border-t border-light-200/50 dark:border-dark-200/50 text-xs text-black/50 dark:text-white/50 font-medium">
-              <span>Humidity {data.humidity}%</span>
-              <span className="font-semibold text-black/70 dark:text-white/70">
-                Now
-              </span>
+            <div className="flex flex-row justify-between w-full mt-auto pt-1 border-t border-light-200 dark:border-dark-200 text-xs text-black/60 dark:text-white/60">
+              <span>Humidity: {data.humidity}%</span>
+              <span>Now</span>
             </div>
           </div>
         </>

src/instrumentation.ts

@@ -1,11 +0,0 @@
-export const register = async () => {
-  if (process.env.NEXT_RUNTIME === 'nodejs') {
-    try {
-      console.log('Running database migrations...');
-      await import('./lib/db/migrate');
-      console.log('Database migrations completed successfully');
-    } catch (error) {
-      console.error('Failed to run database migrations:', error);
-    }
-  }
-};

src/lib/actions.ts

@@ -1,6 +1,6 @@
 import { Message } from '@/components/ChatWindow';
 
-export const getSuggestions = async (chatHistory: Message[]) => {
+export const getSuggestions = async (chatHisory: Message[]) => {
   const chatModel = localStorage.getItem('chatModel');
   const chatModelProvider = localStorage.getItem('chatModelProvider');
 
@@ -13,7 +13,7 @@ export const getSuggestions = async (chatHistory: Message[]) => {
       'Content-Type': 'application/json',
     },
     body: JSON.stringify({
-      chatHistory: chatHistory,
+      chatHistory: chatHisory,
       chatModel: {
         provider: chatModelProvider,
         model: chatModel,

src/lib/config.ts

@@ -31,7 +31,6 @@ interface Config {
     };
     OLLAMA: {
       API_URL: string;
-      API_KEY: string;
     };
     DEEPSEEK: {
       API_KEY: string;
@@ -42,10 +41,6 @@ interface Config {
     LM_STUDIO: {
       API_URL: string;
     };
-    LEMONADE: {
-      API_URL: string;
-      API_KEY: string;
-    };
     CUSTOM_OPENAI: {
       API_URL: string;
       API_KEY: string;
@@ -91,8 +86,6 @@ export const getSearxngApiEndpoint = () =>
 
 export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
 
-export const getOllamaApiKey = () => loadConfig().MODELS.OLLAMA.API_KEY;
-
 export const getDeepseekApiKey = () => loadConfig().MODELS.DEEPSEEK.API_KEY;
 
 export const getAimlApiKey = () => loadConfig().MODELS.AIMLAPI.API_KEY;
@@ -109,11 +102,6 @@ export const getCustomOpenaiModelName = () =>
 export const getLMStudioApiEndpoint = () =>
   loadConfig().MODELS.LM_STUDIO.API_URL;
 
-export const getLemonadeApiEndpoint = () =>
-  loadConfig().MODELS.LEMONADE.API_URL;
-
-export const getLemonadeApiKey = () => loadConfig().MODELS.LEMONADE.API_KEY;
-
 const mergeConfigs = (current: any, update: any): any => {
   if (update === null || update === undefined) {
     return current;

src/lib/db/migrate.ts

@@ -1,122 +1,5 @@
-import Database from 'better-sqlite3';
+import db from './';
+import { migrate } from 'drizzle-orm/better-sqlite3/migrator';
 import path from 'path';
-import fs from 'fs';
 
-const DATA_DIR = process.env.DATA_DIR || process.cwd();
-const dbPath = path.join(DATA_DIR, './data/db.sqlite');
-
-const db = new Database(dbPath);
-
-const migrationsFolder = path.join(DATA_DIR, 'drizzle');
-
-db.exec(`
-  CREATE TABLE IF NOT EXISTS ran_migrations (
-    id INTEGER PRIMARY KEY AUTOINCREMENT,
-    name TEXT NOT NULL UNIQUE,
-    run_on DATETIME DEFAULT CURRENT_TIMESTAMP
-  );
-`);
-
-function sanitizeSql(content: string) {
-  return content
-    .split(/\r?\n/)
-    .filter(
-      (l) => !l.trim().startsWith('-->') && !l.includes('statement-breakpoint'),
-    )
-    .join('\n');
-}
-
-fs.readdirSync(migrationsFolder)
-  .filter((f) => f.endsWith('.sql'))
-  .sort()
-  .forEach((file) => {
-    const filePath = path.join(migrationsFolder, file);
-    let content = fs.readFileSync(filePath, 'utf-8');
-    content = sanitizeSql(content);
-
-    const migrationName = file.split('_')[0] || file;
-
-    const already = db
-      .prepare('SELECT 1 FROM ran_migrations WHERE name = ?')
-      .get(migrationName);
-    if (already) {
-      console.log(`Skipping already-applied migration: ${file}`);
-      return;
-    }
-
-    try {
-      if (migrationName === '0001') {
-        const messages = db
-          .prepare(
-            'SELECT id, type, metadata, content, chatId, messageId FROM messages',
-          )
-          .all();
-
-        db.exec(`
-                    CREATE TABLE IF NOT EXISTS messages_with_sources (
-                        id INTEGER PRIMARY KEY,
-                        type TEXT NOT NULL,
-                        chatId TEXT NOT NULL,
-                        createdAt TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
-                        messageId TEXT NOT NULL,
-                        content TEXT,
-                        sources TEXT DEFAULT '[]'
-                    );
-                `);
-
-        const insertMessage = db.prepare(`
-                    INSERT INTO messages_with_sources (type, chatId, createdAt, messageId, content, sources)
-                    VALUES (?, ?, ?, ?, ?, ?)
-                `);
-
-        messages.forEach((msg: any) => {
-          while (typeof msg.metadata === 'string') {
-            msg.metadata = JSON.parse(msg.metadata || '{}');
-          }
-          if (msg.type === 'user') {
-            insertMessage.run(
-              'user',
-              msg.chatId,
-              msg.metadata['createdAt'],
-              msg.messageId,
-              msg.content,
-              '[]',
-            );
-          } else if (msg.type === 'assistant') {
-            insertMessage.run(
-              'assistant',
-              msg.chatId,
-              msg.metadata['createdAt'],
-              msg.messageId,
-              msg.content,
-              '[]',
-            );
-            const sources = msg.metadata['sources'] || '[]';
-            if (sources && sources.length > 0) {
-              insertMessage.run(
-                'source',
-                msg.chatId,
-                msg.metadata['createdAt'],
-                `${msg.messageId}-source`,
-                '',
-                JSON.stringify(sources),
-              );
-            }
-          }
-        });
-
-        db.exec('DROP TABLE messages;');
-        db.exec('ALTER TABLE messages_with_sources RENAME TO messages;');
-      } else {
-        db.exec(content);
-      }
-
-      db.prepare('INSERT OR IGNORE INTO ran_migrations (name) VALUES (?)').run(
-        migrationName,
-      );
-      console.log(`Applied migration: ${file}`);
-    } catch (err) {
-      console.error(`Failed to apply migration ${file}:`, err);
-      throw err;
-    }
-  });
+migrate(db, { migrationsFolder: path.join(process.cwd(), 'drizzle') });

src/lib/db/schema.ts

@@ -1,23 +1,15 @@
 import { sql } from 'drizzle-orm';
 import { text, integer, sqliteTable } from 'drizzle-orm/sqlite-core';
-import { Document } from 'langchain/document';
 
 export const messages = sqliteTable('messages', {
   id: integer('id').primaryKey(),
-  role: text('type', { enum: ['assistant', 'user', 'source'] }).notNull(),
+  content: text('content').notNull(),
   chatId: text('chatId').notNull(),
-  createdAt: text('createdAt')
-    .notNull()
-    .default(sql`CURRENT_TIMESTAMP`),
   messageId: text('messageId').notNull(),
-
-  content: text('content'),
-
-  sources: text('sources', {
+  role: text('type', { enum: ['assistant', 'user'] }),
+  metadata: text('metadata', {
     mode: 'json',
-  })
-    .$type<Document[]>()
-    .default(sql`'[]'`),
+  }),
 });
 
 interface File {

src/lib/hooks/useChat.tsx

@@ -1,817 +0,0 @@
-'use client';
-
-import {
-  AssistantMessage,
-  ChatTurn,
-  Message,
-  SourceMessage,
-  SuggestionMessage,
-  UserMessage,
-} from '@/components/ChatWindow';
-import {
-  createContext,
-  useContext,
-  useEffect,
-  useMemo,
-  useRef,
-  useState,
-} from 'react';
-import crypto from 'crypto';
-import { useSearchParams } from 'next/navigation';
-import { toast } from 'sonner';
-import { getSuggestions } from '../actions';
-
-export type Section = {
-  userMessage: UserMessage;
-  assistantMessage: AssistantMessage | undefined;
-  parsedAssistantMessage: string | undefined;
-  speechMessage: string | undefined;
-  sourceMessage: SourceMessage | undefined;
-  thinkingEnded: boolean;
-  suggestions?: string[];
-};
-
-type ChatContext = {
-  messages: Message[];
-  chatTurns: ChatTurn[];
-  sections: Section[];
-  chatHistory: [string, string][];
-  files: File[];
-  fileIds: string[];
-  focusMode: string;
-  chatId: string | undefined;
-  optimizationMode: string;
-  isMessagesLoaded: boolean;
-  loading: boolean;
-  notFound: boolean;
-  messageAppeared: boolean;
-  isReady: boolean;
-  hasError: boolean;
-  setOptimizationMode: (mode: string) => void;
-  setFocusMode: (mode: string) => void;
-  setFiles: (files: File[]) => void;
-  setFileIds: (fileIds: string[]) => void;
-  sendMessage: (
-    message: string,
-    messageId?: string,
-    rewrite?: boolean,
-  ) => Promise<void>;
-  rewrite: (messageId: string) => void;
-};
-
-export interface File {
-  fileName: string;
-  fileExtension: string;
-  fileId: string;
-}
-
-interface ChatModelProvider {
-  name: string;
-  provider: string;
-}
-
-interface EmbeddingModelProvider {
-  name: string;
-  provider: string;
-}
-
-const checkConfig = async (
-  setChatModelProvider: (provider: ChatModelProvider) => void,
-  setEmbeddingModelProvider: (provider: EmbeddingModelProvider) => void,
-  setIsConfigReady: (ready: boolean) => void,
-  setHasError: (hasError: boolean) => void,
-) => {
-  try {
-    let chatModel = localStorage.getItem('chatModel');
-    let chatModelProvider = localStorage.getItem('chatModelProvider');
-    let embeddingModel = localStorage.getItem('embeddingModel');
-    let embeddingModelProvider = localStorage.getItem('embeddingModelProvider');
-
-    const autoImageSearch = localStorage.getItem('autoImageSearch');
-    const autoVideoSearch = localStorage.getItem('autoVideoSearch');
-
-    if (!autoImageSearch) {
-      localStorage.setItem('autoImageSearch', 'true');
-    }
-
-    if (!autoVideoSearch) {
-      localStorage.setItem('autoVideoSearch', 'false');
-    }
-
-    const providers = await fetch(`/api/models`, {
-      headers: {
-        'Content-Type': 'application/json',
-      },
-    }).then(async (res) => {
-      if (!res.ok)
-        throw new Error(
-          `Failed to fetch models: ${res.status} ${res.statusText}`,
-        );
-      return res.json();
-    });
-
-    if (
-      !chatModel ||
-      !chatModelProvider ||
-      !embeddingModel ||
-      !embeddingModelProvider
-    ) {
-      if (!chatModel || !chatModelProvider) {
-        const chatModelProviders = providers.chatModelProviders;
-        const chatModelProvidersKeys = Object.keys(chatModelProviders);
-
-        if (!chatModelProviders || chatModelProvidersKeys.length === 0) {
-          return toast.error('No chat models available');
-        } else {
-          chatModelProvider =
-            chatModelProvidersKeys.find(
-              (provider) =>
-                Object.keys(chatModelProviders[provider]).length > 0,
-            ) || chatModelProvidersKeys[0];
-        }
-
-        if (
-          chatModelProvider === 'custom_openai' &&
-          Object.keys(chatModelProviders[chatModelProvider]).length === 0
-        ) {
-          toast.error(
-            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
-          );
-          return setHasError(true);
-        }
-
-        chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
-      }
-
-      if (!embeddingModel || !embeddingModelProvider) {
-        const embeddingModelProviders = providers.embeddingModelProviders;
-
-        if (
-          !embeddingModelProviders ||
-          Object.keys(embeddingModelProviders).length === 0
-        )
-          return toast.error('No embedding models available');
-
-        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
-        embeddingModel = Object.keys(
-          embeddingModelProviders[embeddingModelProvider],
-        )[0];
-      }
-
-      localStorage.setItem('chatModel', chatModel!);
-      localStorage.setItem('chatModelProvider', chatModelProvider);
-      localStorage.setItem('embeddingModel', embeddingModel!);
-      localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
-    } else {
-      const chatModelProviders = providers.chatModelProviders;
-      const embeddingModelProviders = providers.embeddingModelProviders;
-
-      if (
-        Object.keys(chatModelProviders).length > 0 &&
-        (!chatModelProviders[chatModelProvider] ||
-          Object.keys(chatModelProviders[chatModelProvider]).length === 0)
-      ) {
-        const chatModelProvidersKeys = Object.keys(chatModelProviders);
-        chatModelProvider =
-          chatModelProvidersKeys.find(
-            (key) => Object.keys(chatModelProviders[key]).length > 0,
-          ) || chatModelProvidersKeys[0];
-
-        localStorage.setItem('chatModelProvider', chatModelProvider);
-      }
-
-      if (
-        chatModelProvider &&
-        !chatModelProviders[chatModelProvider][chatModel]
-      ) {
-        if (
-          chatModelProvider === 'custom_openai' &&
-          Object.keys(chatModelProviders[chatModelProvider]).length === 0
-        ) {
-          toast.error(
-            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
-          );
-          return setHasError(true);
-        }
-
-        chatModel = Object.keys(
-          chatModelProviders[
-            Object.keys(chatModelProviders[chatModelProvider]).length > 0
-              ? chatModelProvider
-              : Object.keys(chatModelProviders)[0]
-          ],
-        )[0];
-
-        localStorage.setItem('chatModel', chatModel);
-      }
-
-      if (
-        Object.keys(embeddingModelProviders).length > 0 &&
-        !embeddingModelProviders[embeddingModelProvider]
-      ) {
-        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
-        localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
-      }
-
-      if (
-        embeddingModelProvider &&
-        !embeddingModelProviders[embeddingModelProvider][embeddingModel]
-      ) {
-        embeddingModel = Object.keys(
-          embeddingModelProviders[embeddingModelProvider],
-        )[0];
-        localStorage.setItem('embeddingModel', embeddingModel);
-      }
-    }
-
-    setChatModelProvider({
-      name: chatModel!,
-      provider: chatModelProvider,
-    });
-
-    setEmbeddingModelProvider({
-      name: embeddingModel!,
-      provider: embeddingModelProvider,
-    });
-
-    setIsConfigReady(true);
-  } catch (err) {
-    console.error('An error occurred while checking the configuration:', err);
-    setIsConfigReady(false);
-    setHasError(true);
-  }
-};
-
-const loadMessages = async (
-  chatId: string,
-  setMessages: (messages: Message[]) => void,
-  setIsMessagesLoaded: (loaded: boolean) => void,
-  setChatHistory: (history: [string, string][]) => void,
-  setFocusMode: (mode: string) => void,
-  setNotFound: (notFound: boolean) => void,
-  setFiles: (files: File[]) => void,
-  setFileIds: (fileIds: string[]) => void,
-) => {
-  const res = await fetch(`/api/chats/${chatId}`, {
-    method: 'GET',
-    headers: {
-      'Content-Type': 'application/json',
-    },
-  });
-
-  if (res.status === 404) {
-    setNotFound(true);
-    setIsMessagesLoaded(true);
-    return;
-  }
-
-  const data = await res.json();
-
-  const messages = data.messages as Message[];
-
-  setMessages(messages);
-
-  const chatTurns = messages.filter(
-    (msg): msg is ChatTurn => msg.role === 'user' || msg.role === 'assistant',
-  );
-
-  const history = chatTurns.map((msg) => {
-    return [msg.role, msg.content];
-  }) as [string, string][];
-
-  console.debug(new Date(), 'app:messages_loaded');
-
-  if (chatTurns.length > 0) {
-    document.title = chatTurns[0].content;
-  }
-
-  const files = data.chat.files.map((file: any) => {
-    return {
-      fileName: file.name,
-      fileExtension: file.name.split('.').pop(),
-      fileId: file.fileId,
-    };
-  });
-
-  setFiles(files);
-  setFileIds(files.map((file: File) => file.fileId));
-
-  setChatHistory(history);
-  setFocusMode(data.chat.focusMode);
-  setIsMessagesLoaded(true);
-};
-
-export const chatContext = createContext<ChatContext>({
-  chatHistory: [],
-  chatId: '',
-  fileIds: [],
-  files: [],
-  focusMode: '',
-  hasError: false,
-  isMessagesLoaded: false,
-  isReady: false,
-  loading: false,
-  messageAppeared: false,
-  messages: [],
-  chatTurns: [],
-  sections: [],
-  notFound: false,
-  optimizationMode: '',
-  rewrite: () => {},
-  sendMessage: async () => {},
-  setFileIds: () => {},
-  setFiles: () => {},
-  setFocusMode: () => {},
-  setOptimizationMode: () => {},
-});
-
-export const ChatProvider = ({
-  children,
-  id,
-}: {
-  children: React.ReactNode;
-  id?: string;
-}) => {
-  const searchParams = useSearchParams();
-  const initialMessage = searchParams.get('q');
-
-  const [chatId, setChatId] = useState<string | undefined>(id);
-  const [newChatCreated, setNewChatCreated] = useState(false);
-
-  const [loading, setLoading] = useState(false);
-  const [messageAppeared, setMessageAppeared] = useState(false);
-
-  const [chatHistory, setChatHistory] = useState<[string, string][]>([]);
-  const [messages, setMessages] = useState<Message[]>([]);
-
-  const [files, setFiles] = useState<File[]>([]);
-  const [fileIds, setFileIds] = useState<string[]>([]);
-
-  const [focusMode, setFocusMode] = useState('webSearch');
-  const [optimizationMode, setOptimizationMode] = useState('speed');
-
-  const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
-
-  const [notFound, setNotFound] = useState(false);
-
-  const [chatModelProvider, setChatModelProvider] = useState<ChatModelProvider>(
-    {
-      name: '',
-      provider: '',
-    },
-  );
-
-  const [embeddingModelProvider, setEmbeddingModelProvider] =
-    useState<EmbeddingModelProvider>({
-      name: '',
-      provider: '',
-    });
-
-  const [isConfigReady, setIsConfigReady] = useState(false);
-  const [hasError, setHasError] = useState(false);
-  const [isReady, setIsReady] = useState(false);
-
-  const messagesRef = useRef<Message[]>([]);
-
-  const chatTurns = useMemo((): ChatTurn[] => {
-    return messages.filter(
-      (msg): msg is ChatTurn => msg.role === 'user' || msg.role === 'assistant',
-    );
-  }, [messages]);
-
-  const sections = useMemo<Section[]>(() => {
-    const sections: Section[] = [];
-
-    messages.forEach((msg, i) => {
-      if (msg.role === 'user') {
-        const nextUserMessageIndex = messages.findIndex(
-          (m, j) => j > i && m.role === 'user',
-        );
-
-        const aiMessage = messages.find(
-          (m, j) =>
-            j > i &&
-            m.role === 'assistant' &&
-            (nextUserMessageIndex === -1 || j < nextUserMessageIndex),
-        ) as AssistantMessage | undefined;
-
-        const sourceMessage = messages.find(
-          (m, j) =>
-            j > i &&
-            m.role === 'source' &&
-            m.sources &&
-            (nextUserMessageIndex === -1 || j < nextUserMessageIndex),
-        ) as SourceMessage | undefined;
-
-        let thinkingEnded = false;
-        let processedMessage = aiMessage?.content ?? '';
-        let speechMessage = aiMessage?.content ?? '';
-        let suggestions: string[] = [];
-
-        if (aiMessage) {
-          const citationRegex = /\[([^\]]+)\]/g;
-          const regex = /\[(\d+)\]/g;
-
-          if (processedMessage.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>';
-            }
-          }
-
-          if (aiMessage.content.includes('</think>')) {
-            thinkingEnded = true;
-          }
-
-          if (
-            sourceMessage &&
-            sourceMessage.sources &&
-            sourceMessage.sources.length > 0
-          ) {
-            processedMessage = 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 `[${numStr}]`;
-                    }
-
-                    const source = sourceMessage.sources?.[number - 1];
-                    const url = source?.metadata?.url;
-
-                    if (url) {
-                      return `<citation href="${url}">${numStr}</citation>`;
-                    } else {
-                      return ``;
-                    }
-                  })
-                  .join('');
-
-                return linksHtml;
-              },
-            );
-            speechMessage = aiMessage.content.replace(regex, '');
-          } else {
-            processedMessage = processedMessage.replace(regex, '');
-            speechMessage = aiMessage.content.replace(regex, '');
-          }
-
-          const suggestionMessage = messages.find(
-            (m, j) =>
-              j > i &&
-              m.role === 'suggestion' &&
-              (nextUserMessageIndex === -1 || j < nextUserMessageIndex),
-          ) as SuggestionMessage | undefined;
-
-          if (suggestionMessage && suggestionMessage.suggestions.length > 0) {
-            suggestions = suggestionMessage.suggestions;
-          }
-        }
-
-        sections.push({
-          userMessage: msg,
-          assistantMessage: aiMessage,
-          sourceMessage: sourceMessage,
-          parsedAssistantMessage: processedMessage,
-          speechMessage,
-          thinkingEnded,
-          suggestions: suggestions,
-        });
-      }
-    });
-
-    return sections;
-  }, [messages]);
-
-  useEffect(() => {
-    checkConfig(
-      setChatModelProvider,
-      setEmbeddingModelProvider,
-      setIsConfigReady,
-      setHasError,
-    );
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, []);
-
-  useEffect(() => {
-    if (
-      chatId &&
-      !newChatCreated &&
-      !isMessagesLoaded &&
-      messages.length === 0
-    ) {
-      loadMessages(
-        chatId,
-        setMessages,
-        setIsMessagesLoaded,
-        setChatHistory,
-        setFocusMode,
-        setNotFound,
-        setFiles,
-        setFileIds,
-      );
-    } else if (!chatId) {
-      setNewChatCreated(true);
-      setIsMessagesLoaded(true);
-      setChatId(crypto.randomBytes(20).toString('hex'));
-    }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, []);
-
-  useEffect(() => {
-    messagesRef.current = messages;
-  }, [messages]);
-
-  useEffect(() => {
-    if (isMessagesLoaded && isConfigReady) {
-      setIsReady(true);
-      console.debug(new Date(), 'app:ready');
-    } else {
-      setIsReady(false);
-    }
-  }, [isMessagesLoaded, isConfigReady]);
-
-  const rewrite = (messageId: string) => {
-    const index = messages.findIndex((msg) => msg.messageId === messageId);
-    const chatTurnsIndex = chatTurns.findIndex(
-      (msg) => msg.messageId === messageId,
-    );
-
-    if (index === -1) return;
-
-    const message = chatTurns[chatTurnsIndex - 1];
-
-    setMessages((prev) => {
-      return [
-        ...prev.slice(0, messages.length > 2 ? messages.indexOf(message) : 0),
-      ];
-    });
-    setChatHistory((prev) => {
-      return [...prev.slice(0, chatTurns.length > 2 ? chatTurnsIndex - 1 : 0)];
-    });
-
-    sendMessage(message.content, message.messageId, true);
-  };
-
-  useEffect(() => {
-    if (isReady && initialMessage && isConfigReady) {
-      if (!isConfigReady) {
-        toast.error('Cannot send message before the configuration is ready');
-        return;
-      }
-      sendMessage(initialMessage);
-    }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [isConfigReady, isReady, initialMessage]);
-
-  const sendMessage: ChatContext['sendMessage'] = async (
-    message,
-    messageId,
-    rewrite = false,
-  ) => {
-    if (loading) return;
-    setLoading(true);
-    setMessageAppeared(false);
-
-    if (messages.length <= 1) {
-      window.history.replaceState(null, '', `/c/${chatId}`);
-    }
-
-    let recievedMessage = '';
-    let added = false;
-
-    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
-
-    setMessages((prevMessages) => [
-      ...prevMessages,
-      {
-        content: message,
-        messageId: messageId,
-        chatId: chatId!,
-        role: 'user',
-        createdAt: new Date(),
-      },
-    ]);
-
-    const messageHandler = async (data: any) => {
-      if (data.type === 'error') {
-        toast.error(data.data);
-        setLoading(false);
-        return;
-      }
-
-      if (data.type === 'sources') {
-        setMessages((prevMessages) => [
-          ...prevMessages,
-          {
-            messageId: data.messageId,
-            chatId: chatId!,
-            role: 'source',
-            sources: data.data,
-            createdAt: new Date(),
-          },
-        ]);
-        if (data.data.length > 0) {
-          setMessageAppeared(true);
-        }
-      }
-
-      if (data.type === 'message') {
-        if (!added) {
-          setMessages((prevMessages) => [
-            ...prevMessages,
-            {
-              content: data.data,
-              messageId: data.messageId,
-              chatId: chatId!,
-              role: 'assistant',
-              createdAt: new Date(),
-            },
-          ]);
-          added = true;
-          setMessageAppeared(true);
-        } else {
-          setMessages((prev) =>
-            prev.map((message) => {
-              if (
-                message.messageId === data.messageId &&
-                message.role === 'assistant'
-              ) {
-                return { ...message, content: message.content + data.data };
-              }
-
-              return message;
-            }),
-          );
-        }
-        recievedMessage += data.data;
-      }
-
-      if (data.type === 'messageEnd') {
-        setChatHistory((prevHistory) => [
-          ...prevHistory,
-          ['human', message],
-          ['assistant', recievedMessage],
-        ]);
-
-        setLoading(false);
-
-        const lastMsg = messagesRef.current[messagesRef.current.length - 1];
-
-        const autoImageSearch = localStorage.getItem('autoImageSearch');
-        const autoVideoSearch = localStorage.getItem('autoVideoSearch');
-
-        if (autoImageSearch === 'true') {
-          document
-            .getElementById(`search-images-${lastMsg.messageId}`)
-            ?.click();
-        }
-
-        if (autoVideoSearch === 'true') {
-          document
-            .getElementById(`search-videos-${lastMsg.messageId}`)
-            ?.click();
-        }
-
-        /* Check if there are sources after message id's index and no suggestions */
-
-        const userMessageIndex = messagesRef.current.findIndex(
-          (msg) => msg.messageId === messageId && msg.role === 'user',
-        );
-
-        const sourceMessage = messagesRef.current.find(
-          (msg, i) => i > userMessageIndex && msg.role === 'source',
-        ) as SourceMessage | undefined;
-
-        const suggestionMessageIndex = messagesRef.current.findIndex(
-          (msg, i) => i > userMessageIndex && msg.role === 'suggestion',
-        );
-
-        if (
-          sourceMessage &&
-          sourceMessage.sources.length > 0 &&
-          suggestionMessageIndex == -1
-        ) {
-          const suggestions = await getSuggestions(messagesRef.current);
-          setMessages((prev) => {
-            return [
-              ...prev,
-              {
-                role: 'suggestion',
-                suggestions: suggestions,
-                chatId: chatId!,
-                createdAt: new Date(),
-                messageId: crypto.randomBytes(7).toString('hex'),
-              },
-            ];
-          });
-        }
-      }
-    };
-
-    const messageIndex = messages.findIndex((m) => m.messageId === messageId);
-
-    const res = await fetch('/api/chat', {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
-      },
-      body: JSON.stringify({
-        content: message,
-        message: {
-          messageId: messageId,
-          chatId: chatId!,
-          content: message,
-        },
-        chatId: chatId!,
-        files: fileIds,
-        focusMode: focusMode,
-        optimizationMode: optimizationMode,
-        history: rewrite
-          ? chatHistory.slice(0, messageIndex === -1 ? undefined : messageIndex)
-          : chatHistory,
-        chatModel: {
-          name: chatModelProvider.name,
-          provider: chatModelProvider.provider,
-        },
-        embeddingModel: {
-          name: embeddingModelProvider.name,
-          provider: embeddingModelProvider.provider,
-        },
-        systemInstructions: localStorage.getItem('systemInstructions'),
-      }),
-    });
-
-    if (!res.body) throw new Error('No response body');
-
-    const reader = res.body?.getReader();
-    const decoder = new TextDecoder('utf-8');
-
-    let partialChunk = '';
-
-    while (true) {
-      const { value, done } = await reader.read();
-      if (done) break;
-
-      partialChunk += decoder.decode(value, { stream: true });
-
-      try {
-        const messages = partialChunk.split('\n');
-        for (const msg of messages) {
-          if (!msg.trim()) continue;
-          const json = JSON.parse(msg);
-          messageHandler(json);
-        }
-        partialChunk = '';
-      } catch (error) {
-        console.warn('Incomplete JSON, waiting for next chunk...');
-      }
-    }
-  };
-
-  return (
-    <chatContext.Provider
-      value={{
-        messages,
-        chatTurns,
-        sections,
-        chatHistory,
-        files,
-        fileIds,
-        focusMode,
-        chatId,
-        hasError,
-        isMessagesLoaded,
-        isReady,
-        loading,
-        messageAppeared,
-        notFound,
-        optimizationMode,
-        setFileIds,
-        setFiles,
-        setFocusMode,
-        setOptimizationMode,
-        rewrite,
-        sendMessage,
-      }}
-    >
-      {children}
-    </chatContext.Provider>
-  );
-};
-
-export const useChat = () => {
-  const ctx = useContext(chatContext);
-  return ctx;
-};

src/lib/outputParsers/lineOutputParser.ts

@@ -4,7 +4,7 @@ interface LineOutputParserArgs {
   key?: string;
 }
 
-class LineOutputParser extends BaseOutputParser<string | undefined> {
+class LineOutputParser extends BaseOutputParser<string> {
   private key = 'questions';
 
   constructor(args?: LineOutputParserArgs) {
@@ -18,7 +18,7 @@ class LineOutputParser extends BaseOutputParser<string | undefined> {
 
   lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
 
-  async parse(text: string): Promise<string | undefined> {
+  async parse(text: string): Promise<string> {
     text = text.trim() || '';
 
     const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
@@ -26,7 +26,7 @@ class LineOutputParser extends BaseOutputParser<string | undefined> {
     const endKeyIndex = text.indexOf(`</${this.key}>`);
 
     if (startKeyIndex === -1 || endKeyIndex === -1) {
-      return undefined;
+      return '';
     }
 
     const questionsStartIndex =

src/lib/prompts/academicSearch.ts

@@ -0,0 +1,69 @@
+export const academicSearchRetrieverPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
+If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
+
+Example:
+1. Follow up question: How does stable diffusion work?
+Rephrased: Stable diffusion working
+
+2. Follow up question: What is linear algebra?
+Rephrased: Linear algebra
+
+3. Follow up question: What is the third law of thermodynamics?
+Rephrased: Third law of thermodynamics
+
+Conversation:
+{chat_history}
+
+Follow up question: {query}
+Rephrased question:
+`;
+
+export const academicSearchResponsePrompt = `
+   You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
+
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
+
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - 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.
+    - 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.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
+
+    <context>
+    {context}
+    </context>
+
+    Current date & time in ISO format (UTC timezone) is: {date}.
+`;

src/lib/prompts/index.ts

@@ -1,13 +1,32 @@
 import {
-  webSearchResponsePrompt,
-  webSearchRetrieverFewShots,
-  webSearchRetrieverPrompt,
-} from './webSearch';
+  academicSearchResponsePrompt,
+  academicSearchRetrieverPrompt,
+} from './academicSearch';
+import {
+  redditSearchResponsePrompt,
+  redditSearchRetrieverPrompt,
+} from './redditSearch';
+import { webSearchResponsePrompt, webSearchRetrieverPrompt } from './webSearch';
+import {
+  wolframAlphaSearchResponsePrompt,
+  wolframAlphaSearchRetrieverPrompt,
+} from './wolframAlpha';
 import { writingAssistantPrompt } from './writingAssistant';
+import {
+  youtubeSearchResponsePrompt,
+  youtubeSearchRetrieverPrompt,
+} from './youtubeSearch';
 
 export default {
   webSearchResponsePrompt,
   webSearchRetrieverPrompt,
-  webSearchRetrieverFewShots,
+  academicSearchResponsePrompt,
+  academicSearchRetrieverPrompt,
+  redditSearchResponsePrompt,
+  redditSearchRetrieverPrompt,
+  wolframAlphaSearchResponsePrompt,
+  wolframAlphaSearchRetrieverPrompt,
   writingAssistantPrompt,
+  youtubeSearchResponsePrompt,
+  youtubeSearchRetrieverPrompt,
 };

src/lib/prompts/redditSearch.ts

@@ -0,0 +1,69 @@
+export const redditSearchRetrieverPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
+If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
+
+Example:
+1. Follow up question: Which company is most likely to create an AGI
+Rephrased: Which company is most likely to create an AGI
+
+2. Follow up question: Is Earth flat?
+Rephrased: Is Earth flat?
+
+3. Follow up question: Is there life on Mars?
+Rephrased: Is there life on Mars?
+
+Conversation:
+{chat_history}
+
+Follow up question: {query}
+Rephrased question:
+`;
+
+export const redditSearchResponsePrompt = `
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
+
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
+
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - 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.
+    - 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.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
+
+    <context>
+    {context}
+    </context>
+
+    Current date & time in ISO format (UTC timezone) is: {date}.
+`;

src/lib/prompts/webSearch.ts

@@ -1,103 +1,80 @@
-import { BaseMessageLike } from '@langchain/core/messages';
-
 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 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.
 
-**Note**: All user messages are individual entities and should be treated as such do not mix conversations.
-`;
+There are several examples attached for your reference inside the below \`examples\` XML block
 
-export const webSearchRetrieverFewShots: BaseMessageLike[] = [
-  [
-    'user',
-    `<conversation>
-</conversation>
-<query>
-What is the capital of France
-</query>`,
-  ],
-  [
-    'assistant',
-    `<question>
+<examples>
+1. Follow up question: What is the capital of France
+Rephrased question:\`
+<question>
 Capital of france
-</question>`,
-  ],
-  [
-    'user',
-    `<conversation>
-</conversation>
-<query>
-Hi, how are you?
-</query>`,
-  ],
-  [
-    'assistant',
-    `<question>
-not_needed
-</question>`,
-  ],
-  [
-    'user',
-    `<conversation>
-</conversation>
-<query>
-What is Docker?
-</query>`,
-  ],
-  [
-    'assistant',
-    `<question>
-What is Docker
-</question>`,
-  ],
-  [
-    'user',
-    `<conversation>
-</conversation>
-<query>
-Can you tell me what is X from https://example.com
-</query>`,
-  ],
-  [
-    'assistant',
-    `<question>
-What is X?
 </question>
+\`
+
+2. Hi, how are you?
+Rephrased question\`
+<question>
+not_needed
+</question>
+\`
+
+3. Follow up question: What is Docker?
+Rephrased question: \`
+<question>
+What is Docker
+</question>
+\`
+
+4. Follow up question: Can you tell me what is X from https://example.com
+Rephrased question: \`
+<question>
+Can you tell me what is X?
+</question>
+
 <links>
 https://example.com
-</links>`,
-  ],
-  [
-    'user',
-    `<conversation>
-</conversation>
-<query>
-Summarize the content from https://example.com
-</query>`,
-  ],
-  [
-    'assistant',
-    `<question>
+</links>
+\`
+
+5. Follow up question: Summarize the content from https://example.com
+Rephrased question: \`
+<question>
 summarize
 </question>
+
 <links>
 https://example.com
-</links>`,
-  ],
-];
+</links>
+\`
+</examples>
+
+Anything below is the part of the actual conversation and you need to use conversation and the follow-up question to rephrase the follow-up question as a standalone question based on the guidelines shared above.
+
+<conversation>
+{chat_history}
+</conversation>
+
+Follow up question: {query}
+Rephrased question:
+`;
 
 export const webSearchResponsePrompt = `
     You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
 
     Your task is to provide answers that are:
-    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Informative and relevant**: Thoroughly address the user's query using the given  search results.
     - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
     - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
-    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the  search results source(s) for each fact or detail included.
     - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
 
+    You have access to the following tools which you have to use to answer the user:
+    1. **search_web**: Use this tool to search the web for information to answer the user's question.
+    2. **summarize**: Use this tool to summarize a link.
+    
     ### Formatting Instructions
     - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
     - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
@@ -107,12 +84,13 @@ export const webSearchResponsePrompt = `
     - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
 
     ### Citation Requirements
-    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the search results
     - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
-    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided  search results.
     - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
-    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Always prioritize credibility and accuracy by linking all statements back to their respective  search results sources.
     - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+    - Never return references to the citation or sources yourself, they're returned to the user internally.
     
     ### Special Instructions
     - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
@@ -126,12 +104,8 @@ export const webSearchResponsePrompt = `
     ### 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.
-    - Provide explanations or historical context as needed to enhance understanding.
+    - Provide explanations or historical  search results as needed to enhance understanding.
     - End with a conclusion or overall perspective if relevant.
 
-    <context>
-    {context}
-    </context>
-
     Current date & time in ISO format (UTC timezone) is: {date}.
 `;

src/lib/prompts/wolframAlpha.ts

@@ -0,0 +1,69 @@
+export const wolframAlphaSearchRetrieverPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
+If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
+
+Example:
+1. Follow up question: What is the atomic radius of S?
+Rephrased: Atomic radius of S
+
+2. Follow up question: What is linear algebra?
+Rephrased: Linear algebra
+
+3. Follow up question: What is the third law of thermodynamics?
+Rephrased: Third law of thermodynamics
+
+Conversation:
+{chat_history}
+
+Follow up question: {query}
+Rephrased question:
+`;
+
+export const wolframAlphaSearchResponsePrompt = `
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
+
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
+
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - 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.
+    - 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.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
+
+    <context>
+    {context}
+    </context>
+
+    Current date & time in ISO format (UTC timezone) is: {date}.
+`;

src/lib/prompts/writingAssistant.ts

@@ -10,8 +10,4 @@ However you do not need to cite it using the same number. You can use different
 ### 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>
 `;

src/lib/prompts/youtubeSearch.ts

@@ -0,0 +1,69 @@
+export const youtubeSearchRetrieverPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
+If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
+
+Example:
+1. Follow up question: How does an A.C work?
+Rephrased: A.C working
+
+2. Follow up question: Linear algebra explanation video
+Rephrased: What is linear algebra?
+
+3. Follow up question: What is theory of relativity?
+Rephrased: What is theory of relativity?
+
+Conversation:
+{chat_history}
+
+Follow up question: {query}
+Rephrased question:
+`;
+
+export const youtubeSearchResponsePrompt = `
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
+
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
+
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - 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.
+    - 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.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
+
+    <context>
+    {context}
+    </context>
+
+    Current date & time in ISO format (UTC timezone) is: {date}.
+`;

src/lib/providers/anthropic.ts

@@ -9,18 +9,6 @@ export const PROVIDER_INFO = {
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 
 const anthropicChatModels: Record<string, string>[] = [
-  {
-    displayName: 'Claude 4.1 Opus',
-    key: 'claude-opus-4-1-20250805',
-  },
-  {
-    displayName: 'Claude 4 Opus',
-    key: 'claude-opus-4-20250514',
-  },
-  {
-    displayName: 'Claude 4 Sonnet',
-    key: 'claude-sonnet-4-20250514',
-  },
   {
     displayName: 'Claude 3.7 Sonnet',
     key: 'claude-3-7-sonnet-20250219',

src/lib/providers/gemini.ts

@@ -17,10 +17,6 @@ const geminiChatModels: Record<string, string>[] = [
     displayName: 'Gemini 2.5 Flash',
     key: 'gemini-2.5-flash',
   },
-  {
-    displayName: 'Gemini 2.5 Flash-Lite',
-    key: 'gemini-2.5-flash-lite',
-  },
   {
     displayName: 'Gemini 2.5 Pro',
     key: 'gemini-2.5-pro',

src/lib/providers/index.ts

@@ -45,11 +45,6 @@ import {
   loadLMStudioEmbeddingsModels,
   PROVIDER_INFO as LMStudioInfo,
 } from './lmstudio';
-import {
-  loadLemonadeChatModels,
-  loadLemonadeEmbeddingModels,
-  PROVIDER_INFO as LemonadeInfo,
-} from './lemonade';
 
 export const PROVIDER_METADATA = {
   openai: OpenAIInfo,
@@ -61,7 +56,6 @@ export const PROVIDER_METADATA = {
   deepseek: DeepseekInfo,
   aimlapi: AimlApiInfo,
   lmstudio: LMStudioInfo,
-  lemonade: LemonadeInfo,
   custom_openai: {
     key: 'custom_openai',
     displayName: 'Custom OpenAI',
@@ -90,7 +84,6 @@ export const chatModelProviders: Record<
   deepseek: loadDeepseekChatModels,
   aimlapi: loadAimlApiChatModels,
   lmstudio: loadLMStudioChatModels,
-  lemonade: loadLemonadeChatModels,
 };
 
 export const embeddingModelProviders: Record<
@@ -103,7 +96,6 @@ export const embeddingModelProviders: Record<
   transformers: loadTransformersEmbeddingsModels,
   aimlapi: loadAimlApiEmbeddingModels,
   lmstudio: loadLMStudioEmbeddingsModels,
-  lemonade: loadLemonadeEmbeddingModels,
 };
 
 export const getAvailableChatModelProviders = async () => {
@@ -128,22 +120,7 @@ export const getAvailableChatModelProviders = async () => {
             model: new ChatOpenAI({
               apiKey: customOpenAiApiKey,
               modelName: customOpenAiModelName,
-              ...(() => {
-                const temperatureRestrictedModels = [
-                  'gpt-5-nano',
-                  'gpt-5',
-                  'gpt-5-mini',
-                  'o1',
-                  'o3',
-                  'o3-mini',
-                  'o4-mini',
-                ];
-                const isTemperatureRestricted =
-                  temperatureRestrictedModels.some((restrictedModel) =>
-                    customOpenAiModelName.includes(restrictedModel),
-                  );
-                return isTemperatureRestricted ? {} : { temperature: 0.7 };
-              })(),
+              temperature: 0.7,
               configuration: {
                 baseURL: customOpenAiApiUrl,
               },

src/lib/providers/lemonade.ts

@@ -1,94 +0,0 @@
-import axios from 'axios';
-import { getLemonadeApiEndpoint, getLemonadeApiKey } from '../config';
-import { ChatModel, EmbeddingModel } from '.';
-
-export const PROVIDER_INFO = {
-  key: 'lemonade',
-  displayName: 'Lemonade',
-};
-
-import { ChatOpenAI } from '@langchain/openai';
-import { OpenAIEmbeddings } from '@langchain/openai';
-
-export const loadLemonadeChatModels = async () => {
-  const lemonadeApiEndpoint = getLemonadeApiEndpoint();
-  const lemonadeApiKey = getLemonadeApiKey();
-
-  if (!lemonadeApiEndpoint) return {};
-
-  try {
-    const res = await axios.get(`${lemonadeApiEndpoint}/api/v1/models`, {
-      headers: {
-        'Content-Type': 'application/json',
-        ...(lemonadeApiKey
-          ? { Authorization: `Bearer ${lemonadeApiKey}` }
-          : {}),
-      },
-    });
-
-    const { data: models } = res.data;
-
-    const chatModels: Record<string, ChatModel> = {};
-
-    models.forEach((model: any) => {
-      chatModels[model.id] = {
-        displayName: model.id,
-        model: new ChatOpenAI({
-          apiKey: lemonadeApiKey || 'lemonade-key',
-          modelName: model.id,
-          temperature: 0.7,
-          configuration: {
-            baseURL: `${lemonadeApiEndpoint}/api/v1`,
-          },
-        }),
-      };
-    });
-
-    return chatModels;
-  } catch (err) {
-    console.error(`Error loading Lemonade models: ${err}`);
-    return {};
-  }
-};
-
-export const loadLemonadeEmbeddingModels = async () => {
-  const lemonadeApiEndpoint = getLemonadeApiEndpoint();
-  const lemonadeApiKey = getLemonadeApiKey();
-
-  if (!lemonadeApiEndpoint) return {};
-
-  try {
-    const res = await axios.get(`${lemonadeApiEndpoint}/api/v1/models`, {
-      headers: {
-        'Content-Type': 'application/json',
-        ...(lemonadeApiKey
-          ? { Authorization: `Bearer ${lemonadeApiKey}` }
-          : {}),
-      },
-    });
-
-    const { data: models } = res.data;
-
-    const embeddingModels: Record<string, EmbeddingModel> = {};
-
-    // Filter models that support embeddings (if Lemonade provides this info)
-    // For now, we'll assume all models can be used for embeddings
-    models.forEach((model: any) => {
-      embeddingModels[model.id] = {
-        displayName: model.id,
-        model: new OpenAIEmbeddings({
-          apiKey: lemonadeApiKey || 'lemonade-key',
-          modelName: model.id,
-          configuration: {
-            baseURL: `${lemonadeApiEndpoint}/api/v1`,
-          },
-        }),
-      };
-    });
-
-    return embeddingModels;
-  } catch (err) {
-    console.error(`Error loading Lemonade embedding models: ${err}`);
-    return {};
-  }
-};

src/lib/providers/ollama.ts

@@ -1,5 +1,5 @@
 import axios from 'axios';
-import { getKeepAlive, getOllamaApiEndpoint, getOllamaApiKey } from '../config';
+import { getKeepAlive, getOllamaApiEndpoint } from '../config';
 import { ChatModel, EmbeddingModel } from '.';
 
 export const PROVIDER_INFO = {
@@ -11,7 +11,6 @@ import { OllamaEmbeddings } from '@langchain/ollama';
 
 export const loadOllamaChatModels = async () => {
   const ollamaApiEndpoint = getOllamaApiEndpoint();
-  const ollamaApiKey = getOllamaApiKey();
 
   if (!ollamaApiEndpoint) return {};
 
@@ -34,9 +33,6 @@ export const loadOllamaChatModels = async () => {
           model: model.model,
           temperature: 0.7,
           keepAlive: getKeepAlive(),
-          ...(ollamaApiKey
-            ? { headers: { Authorization: `Bearer ${ollamaApiKey}` } }
-            : {}),
         }),
       };
     });
@@ -50,7 +46,6 @@ export const loadOllamaChatModels = async () => {
 
 export const loadOllamaEmbeddingModels = async () => {
   const ollamaApiEndpoint = getOllamaApiEndpoint();
-  const ollamaApiKey = getOllamaApiKey();
 
   if (!ollamaApiEndpoint) return {};
 
@@ -71,9 +66,6 @@ export const loadOllamaEmbeddingModels = async () => {
         model: new OllamaEmbeddings({
           baseUrl: ollamaApiEndpoint,
           model: model.model,
-          ...(ollamaApiKey
-            ? { headers: { Authorization: `Bearer ${ollamaApiKey}` } }
-            : {}),
         }),
       };
     });

src/lib/providers/openai.ts

@@ -26,10 +26,6 @@ const openaiChatModels: Record<string, string>[] = [
     displayName: 'GPT-4 omni',
     key: 'gpt-4o',
   },
-  {
-    displayName: 'GPT-4o (2024-05-13)',
-    key: 'gpt-4o-2024-05-13',
-  },
   {
     displayName: 'GPT-4 omni mini',
     key: 'gpt-4o-mini',
@@ -46,34 +42,6 @@ const openaiChatModels: Record<string, string>[] = [
     displayName: 'GPT 4.1',
     key: 'gpt-4.1',
   },
-  {
-    displayName: 'GPT 5 nano',
-    key: 'gpt-5-nano',
-  },
-  {
-    displayName: 'GPT 5',
-    key: 'gpt-5',
-  },
-  {
-    displayName: 'GPT 5 Mini',
-    key: 'gpt-5-mini',
-  },
-  {
-    displayName: 'o1',
-    key: 'o1',
-  },
-  {
-    displayName: 'o3',
-    key: 'o3',
-  },
-  {
-    displayName: 'o3 Mini',
-    key: 'o3-mini',
-  },
-  {
-    displayName: 'o4 Mini',
-    key: 'o4-mini',
-  },
 ];
 
 const openaiEmbeddingModels: Record<string, string>[] = [
@@ -96,33 +64,13 @@ export const loadOpenAIChatModels = async () => {
     const chatModels: Record<string, ChatModel> = {};
 
     openaiChatModels.forEach((model) => {
-      // Models that only support temperature = 1
-      const temperatureRestrictedModels = [
-        'gpt-5-nano',
-        'gpt-5',
-        'gpt-5-mini',
-        'o1',
-        'o3',
-        'o3-mini',
-        'o4-mini',
-      ];
-      const isTemperatureRestricted = temperatureRestrictedModels.some(
-        (restrictedModel) => model.key.includes(restrictedModel),
-      );
-
-      const modelConfig: any = {
-        apiKey: openaiApiKey,
-        modelName: model.key,
-      };
-
-      // Only add temperature if the model supports it
-      if (!isTemperatureRestricted) {
-        modelConfig.temperature = 0.7;
-      }
-
       chatModels[model.key] = {
         displayName: model.displayName,
-        model: new ChatOpenAI(modelConfig) as unknown as BaseChatModel,
+        model: new ChatOpenAI({
+          apiKey: openaiApiKey,
+          modelName: model.key,
+          temperature: 0.7,
+        }) as unknown as BaseChatModel,
       };
     });
 

src/lib/search/index.ts

@@ -6,54 +6,54 @@ export const searchHandlers: Record<string, MetaSearchAgent> = {
     activeEngines: [],
     queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
     responsePrompt: prompts.webSearchResponsePrompt,
-    queryGeneratorFewShots: prompts.webSearchRetrieverFewShots,
     rerank: true,
     rerankThreshold: 0.3,
     searchWeb: true,
+    summarizer: true,
   }),
   academicSearch: new MetaSearchAgent({
     activeEngines: ['arxiv', 'google scholar', 'pubmed'],
-    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
-    responsePrompt: prompts.webSearchResponsePrompt,
-    queryGeneratorFewShots: prompts.webSearchRetrieverFewShots,
+    queryGeneratorPrompt: prompts.academicSearchRetrieverPrompt,
+    responsePrompt: prompts.academicSearchResponsePrompt,
     rerank: true,
     rerankThreshold: 0,
     searchWeb: true,
+    summarizer: false,
   }),
   writingAssistant: new MetaSearchAgent({
     activeEngines: [],
     queryGeneratorPrompt: '',
-    queryGeneratorFewShots: [],
     responsePrompt: prompts.writingAssistantPrompt,
     rerank: true,
     rerankThreshold: 0,
     searchWeb: false,
+    summarizer: false,
   }),
   wolframAlphaSearch: new MetaSearchAgent({
     activeEngines: ['wolframalpha'],
-    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
-    responsePrompt: prompts.webSearchResponsePrompt,
-    queryGeneratorFewShots: prompts.webSearchRetrieverFewShots,
+    queryGeneratorPrompt: prompts.wolframAlphaSearchRetrieverPrompt,
+    responsePrompt: prompts.wolframAlphaSearchResponsePrompt,
     rerank: false,
     rerankThreshold: 0,
     searchWeb: true,
+    summarizer: false,
   }),
   youtubeSearch: new MetaSearchAgent({
     activeEngines: ['youtube'],
-    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
-    responsePrompt: prompts.webSearchResponsePrompt,
-    queryGeneratorFewShots: prompts.webSearchRetrieverFewShots,
+    queryGeneratorPrompt: prompts.youtubeSearchRetrieverPrompt,
+    responsePrompt: prompts.youtubeSearchResponsePrompt,
     rerank: true,
     rerankThreshold: 0.3,
     searchWeb: true,
+    summarizer: false,
   }),
   redditSearch: new MetaSearchAgent({
     activeEngines: ['reddit'],
-    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
-    responsePrompt: prompts.webSearchResponsePrompt,
-    queryGeneratorFewShots: prompts.webSearchRetrieverFewShots,
+    queryGeneratorPrompt: prompts.redditSearchRetrieverPrompt,
+    responsePrompt: prompts.redditSearchResponsePrompt,
     rerank: true,
     rerankThreshold: 0.3,
     searchWeb: true,
+    summarizer: false,
   }),
 };

src/lib/search/metaSearchAgent.ts

@@ -11,7 +11,12 @@ import {
   RunnableMap,
   RunnableSequence,
 } from '@langchain/core/runnables';
-import { BaseMessage, BaseMessageLike } from '@langchain/core/messages';
+import {
+  AIMessage,
+  BaseMessage,
+  isAIMessage,
+  ToolMessage,
+} from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
 import LineListOutputParser from '../outputParsers/listLineOutputParser';
 import LineOutputParser from '../outputParsers/lineOutputParser';
@@ -24,6 +29,15 @@ import computeSimilarity from '../utils/computeSimilarity';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import { StreamEvent } from '@langchain/core/tracers/log_stream';
+import { DynamicStructuredTool, tool } from '@langchain/core/tools';
+import { MessagesAnnotation, StateGraph } from '@langchain/langgraph';
+import { z } from 'zod';
+import {
+  IterableReadableStream,
+  IterableReadableStreamInterface,
+} from '@langchain/core/utils/stream';
+import EventEmitter from 'node:events';
+import { BaseLanguageModel } from '@langchain/core/language_models/base';
 
 export interface MetaSearchAgentType {
   searchAndAnswer: (
@@ -40,18 +54,13 @@ export interface MetaSearchAgentType {
 interface Config {
   searchWeb: boolean;
   rerank: boolean;
+  summarizer: boolean;
   rerankThreshold: number;
   queryGeneratorPrompt: string;
-  queryGeneratorFewShots: BaseMessageLike[];
   responsePrompt: string;
   activeEngines: string[];
 }
 
-type BasicChainInput = {
-  chat_history: BaseMessage[];
-  query: string;
-};
-
 class MetaSearchAgent implements MetaSearchAgentType {
   private config: Config;
   private strParser = new StringOutputParser();
@@ -60,252 +69,6 @@ class MetaSearchAgent implements MetaSearchAgentType {
     this.config = config;
   }
 
-  private async createSearchRetrieverChain(llm: BaseChatModel) {
-    (llm as unknown as ChatOpenAI).temperature = 0;
-
-    return RunnableSequence.from([
-      ChatPromptTemplate.fromMessages([
-        ['system', this.config.queryGeneratorPrompt],
-        ...this.config.queryGeneratorFewShots,
-        [
-          'user',
-          `
-        <conversation>
-        {chat_history}
-        </conversation>
-
-        <query>
-        {query}
-        </query>
-       `,
-        ],
-      ]),
-      llm,
-      this.strParser,
-      RunnableLambda.from(async (input: string) => {
-        const linksOutputParser = new LineListOutputParser({
-          key: 'links',
-        });
-
-        const questionOutputParser = new LineOutputParser({
-          key: 'question',
-        });
-
-        const links = await linksOutputParser.parse(input);
-        let question = (await questionOutputParser.parse(input)) ?? input;
-
-        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,
-                },
-              });
-            }
-
-            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 };
-        }
-      }),
-    ]);
-  }
-
-  private async createAnsweringChain(
-    llm: BaseChatModel,
-    fileIds: string[],
-    embeddings: Embeddings,
-    optimizationMode: 'speed' | 'balanced' | 'quality',
-    systemInstructions: string,
-  ) {
-    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,
-          );
-
-          let docs: Document[] | null = null;
-          let query = input.query;
-
-          if (this.config.searchWeb) {
-            const searchRetrieverChain =
-              await this.createSearchRetrieverChain(llm);
-
-            const searchRetrieverResult = await searchRetrieverChain.invoke({
-              chat_history: processedHistory,
-              query,
-            });
-
-            query = searchRetrieverResult.query;
-            docs = searchRetrieverResult.docs;
-          }
-
-          const sortedDocs = await this.rerankDocs(
-            query,
-            docs ?? [],
-            fileIds,
-            embeddings,
-            optimizationMode,
-          );
-
-          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',
-    });
-  }
-
   private async rerankDocs(
     query: string,
     docs: Document[],
@@ -445,35 +208,363 @@ class MetaSearchAgent implements MetaSearchAgentType {
   }
 
   private async handleStream(
-    stream: AsyncGenerator<StreamEvent, any, any>,
+    stream: AsyncIterable<[BaseMessage, Record<string, any>]>,
     emitter: eventEmitter,
   ) {
-    for await (const event of stream) {
-      if (
-        event.event === 'on_chain_end' &&
-        event.name === 'FinalSourceRetriever'
-      ) {
+    for await (const [message, _metadata] of stream) {
+      if (isAIMessage(message) && message.tool_calls?.length) {
+      } else if (isAIMessage(message) && message.content) {
         emitter.emit(
           'data',
-          JSON.stringify({ type: 'sources', data: event.data.output }),
+          JSON.stringify({ type: 'response', data: message.content }),
         );
       }
-      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');
   }
+
+  getTools({
+    llm,
+    emitter,
+  }: {
+    llm: BaseLanguageModel;
+    emitter: EventEmitter;
+  }): DynamicStructuredTool[] {
+    const searchToolInputSchema = z.object({
+      searchMode: z
+        .enum(['normal', 'news'])
+        .describe(
+          'The search mode. If you want latest, live or articles on a topic use the news mode (you also need to use news mode for queries where you think there might be a newswall), otherwise for normal searches use normal mode.',
+        ),
+      query: z.string().describe('The query to search the web for.'),
+      links: z
+        .array(z.string().describe('The link to get data from'))
+        .describe(
+          'A list of links (if shared by user) to generate an answer from.',
+        ),
+    });
+
+    const searchTool = tool(
+      async (input: any) => {
+        if (input.links.length > 0) {
+          let docs: Document[] = [];
+
+          const linkDocs = await getDocumentsFromLinks({ links: input.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;
+            }
+          });
+
+          const URLSourcePrompt = `
+              You are a web search question answerer, tasked with finding relevant information from web documents to answer questions. Your job is to extract and summarize the most relevant parts of a document that can help answer the user's query.
+
+              - **Find relevant sections**: Identify parts of the document that directly relate to the question
+              - **Extract key information**: Pull out specific facts, data, or explanations that answer the query
+              - **Summarize concisely**: Provide a focused summary of the relevant information found
+              - **Stay on topic**: Only include information that helps answer the specific question asked
+
+              The document text will be shared inside the \`text\` XML tag, and the query inside the \`query\` XML tag.
+
+              Extract and summarize the relevant information from the document that answers the query.
+              `;
+
+          const URLSourceChatPrompt = ChatPromptTemplate.fromMessages([
+            ['system', URLSourcePrompt],
+            [
+              'human',
+              `
+              <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>
+              `,
+            ],
+            [
+              'assistant',
+              `
+                 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.
+                `,
+            ],
+            [
+              'human',
+              `
+     <text>
+     Rising global temperatures are causing significant changes to Earth's climate system. Ice sheets in Greenland and Antarctica are melting at accelerated rates, contributing to sea level rise. Ocean temperatures are increasing, leading to coral bleaching events. Weather patterns are becoming more extreme, with increased frequency of hurricanes, droughts, and flooding. The Arctic is warming twice as fast as the global average, a phenomenon known as Arctic amplification.
+     </text>
+
+     <query>
+     What are the main effects of climate change on the environment?
+     </query>
+   `,
+            ],
+            [
+              'assistant',
+              `
+     Climate change is causing accelerated melting of ice sheets in Greenland and Antarctica, leading to sea level rise. Rising ocean temperatures are causing coral bleaching, while weather patterns are becoming more extreme with increased hurricanes, droughts, and flooding. The Arctic is experiencing particularly rapid warming at twice the global average rate.
+   `,
+            ],
+
+            [
+              'human',
+              `
+     <text>
+     Pasta is a staple food of Italian cuisine made from wheat flour and water. Common shapes include spaghetti, penne, and fusilli. It can be served with various sauces like marinara, alfredo, or pesto. Pasta cooking involves boiling water with salt and cooking until al dente. Different regions of Italy have their own traditional pasta dishes and preparation methods.
+     </text>
+
+     <query>
+     How do solar panels generate electricity?
+     </query>
+   `,
+            ],
+            [
+              'assistant',
+              `
+     The provided document about pasta and Italian cuisine does not contain information about how solar panels generate electricity. No relevant information found to answer the query.
+   `,
+            ],
+
+            [
+              'human',
+              `
+     <text>
+     {content}
+     </text>
+
+     <query>
+     {query}
+     </query>
+   `,
+            ],
+          ]);
+
+          await Promise.all(
+            docGroups.map(async (doc) => {
+              const formattedPrompt = await URLSourceChatPrompt.formatMessages({
+                query: input.query,
+                content: doc.pageContent,
+              });
+
+              const llmResponse = await llm.invoke(formattedPrompt);
+
+              const document = new Document({
+                pageContent: llmResponse.content as string,
+                metadata: {
+                  title: doc.metadata.title,
+                  url: doc.metadata.url,
+                },
+              });
+
+              docs.push(document);
+            }),
+          );
+
+          emitter.emit('data', JSON.stringify({ type: 'sources', data: docs }));
+
+          return this.processDocs(docs);
+        } else {
+          const res = await searchSearxng(input.query, {
+            language: 'en',
+            engines:
+              input.searchMode === 'news'
+                ? ['bing_news']
+                : 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 }),
+                },
+              }),
+          );
+
+          emitter.emit(
+            'data',
+            JSON.stringify({ type: 'sources', data: documents }),
+          );
+
+          return this.processDocs(documents);
+        }
+      },
+      {
+        name: 'search_web',
+        schema: searchToolInputSchema,
+        description: 'This tool allows you to search the web for information.',
+      },
+    );
+
+    const summarizeToolInputSchema = z.object({
+      links: z
+        .array(z.string().describe('The URL to summarize'))
+        .describe('The list of URLs to summarize'),
+    });
+
+    const summarizeTool = tool(
+      async (input: any) => {
+        if (input.links.length > 0) {
+          let docs: Document[] = [];
+
+          const linkDocs = await getDocumentsFromLinks({ links: input.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;
+            }
+          });
+
+          const summarizerPrompt = `
+You are a document summarizer for map-reduce processing of website content. Extract all factual information, data, and key concepts from document chunks into concise paragraph summaries.
+
+**Requirements:**
+- **Extract facts only**: Include concrete information, data, numbers, dates, definitions, and explanations
+- **Ignore fluff**: Skip opinions, filler words, casual language, and non-essential content
+- **Be concise**: Create summaries shorter than the original content
+- **Paragraph format**: Write in plain paragraph form, no markdown, bullet points, or formatting
+- **Preserve specifics**: Keep exact numbers, dates, names, and technical terms
+
+The document text will be provided inside the \`text\` XML tag. Create a factual paragraph summary.
+`;
+
+          const summarizerChatPrompt = ChatPromptTemplate.fromMessages([
+            ['system', summarizerPrompt],
+            [
+              'human',
+              `
+    <text>
+    Docker is a platform-as-a-service product developed by Docker, Inc. and released in 2013 that uses OS-level virtualization to deliver software in containers. Containers are lightweight, portable packages that include application code, runtime, system tools, libraries, and settings.
+    </text>
+    `,
+            ],
+            [
+              'assistant',
+              `Docker is a platform-as-a-service product developed by Docker, Inc. in 2013 that uses OS-level virtualization to deliver software in containers. Containers are lightweight, portable packages containing application code, runtime, system tools, libraries, and settings.`,
+            ],
+            [
+              'human',
+              `
+    <text>
+    Hey there! So like, I was totally thinking about pasta the other day, you know? It's super amazing how there are different shapes. Spaghetti is long and thin, penne has tube shapes, and fusilli is all twisty! Haha, I just love Italian creativity with food.
+    </text>
+    `,
+            ],
+            [
+              'assistant',
+              `Pasta comes in various shapes including spaghetti which is long and thin, penne which has tube shapes, and fusilli which has a twisted form. These are Italian food products.`,
+            ],
+            [
+              'human',
+              `
+    <text>
+    {content}
+    </text>
+    `,
+            ],
+          ]);
+
+          await Promise.all(
+            docGroups.map(async (doc) => {
+              const formattedPrompt = await summarizerChatPrompt.formatMessages(
+                {
+                  content: doc.pageContent,
+                },
+              );
+
+              const llmResponse = await llm.invoke(formattedPrompt);
+
+              const document = new Document({
+                pageContent: llmResponse.content as string,
+                metadata: {
+                  title: doc.metadata.title,
+                  url: doc.metadata.url,
+                },
+              });
+
+              docs.push(document);
+            }),
+          );
+
+          emitter.emit('data', JSON.stringify({ type: 'sources', data: docs }));
+
+          return this.processDocs(docs);
+        }
+      },
+      {
+        name: 'summarize',
+        description: 'This tool can be used to summarize URL(s)',
+        schema: summarizeToolInputSchema,
+      },
+    );
+
+    return [searchTool, summarizeTool];
   }
 
   async searchAndAnswer(
@@ -487,21 +578,94 @@ class MetaSearchAgent implements MetaSearchAgentType {
   ) {
     const emitter = new eventEmitter();
 
-    const answeringChain = await this.createAnsweringChain(
+    const tools = this.getTools({
+      emitter,
       llm,
-      fileIds,
-      embeddings,
-      optimizationMode,
-      systemInstructions,
-    );
+    });
 
-    const stream = answeringChain.streamEvents(
+    const shouldContinue = (state: typeof MessagesAnnotation.State) => {
+      const lastMessage = state.messages[
+        state.messages.length - 1
+      ] as AIMessage;
+
+      if (lastMessage.tool_calls && lastMessage.tool_calls.length) {
+        return 'tools';
+      }
+
+      return '__end__';
+    };
+
+    const callTools = async (
+      state: typeof MessagesAnnotation.State,
+    ): Promise<Partial<typeof MessagesAnnotation.State>> => {
+      const lastMessage = state.messages[
+        state.messages.length - 1
+      ] as AIMessage;
+
+      const toolResults: BaseMessage[] = [];
+
+      if (lastMessage.tool_calls && lastMessage.tool_calls.length) {
+        await Promise.all(
+          lastMessage.tool_calls.map(async (t) => {
+            const toolToCall = tools.find((i) => i.name === t.name);
+
+            const result = await toolToCall?.invoke(t.args)!;
+
+            toolResults.push(
+              new ToolMessage({
+                content: result,
+                tool_call_id: t.id!,
+              }),
+            );
+          }),
+        );
+      }
+
+      return {
+        messages: [...toolResults],
+      };
+    };
+
+    const boundModel = llm.bindTools?.(tools)!;
+
+    const callModel = async (
+      state: typeof MessagesAnnotation.State,
+    ): Promise<Partial<typeof MessagesAnnotation.State>> => {
+      const { messages } = state;
+      const res = await boundModel?.invoke(messages);
+
+      return {
+        messages: [res!],
+      };
+    };
+
+    const workflow = new StateGraph(MessagesAnnotation)
+      .addNode('agent', callModel)
+      .addNode(
+        'tools',
+        RunnableLambda.from(callTools).withConfig({
+          tags: ['nostream'],
+        }),
+      )
+      .addEdge('__start__', 'agent')
+      .addEdge('tools', 'agent')
+      .addConditionalEdges('agent', shouldContinue);
+
+    const app = workflow.compile();
+
+    const filledPrompt = await PromptTemplate.fromTemplate(
+      this.config.responsePrompt,
+    ).format({
+      systemInstructions: systemInstructions,
+      date: Date.now(),
+    });
+
+    const stream = await app.stream(
       {
-        chat_history: history,
-        query: message,
+        messages: [['system', filledPrompt], ...history, ['human', message]],
       },
       {
-        version: 'v1',
+        streamMode: 'messages',
       },
     );
 

tailwind.config.ts

@@ -2,17 +2,15 @@ import type { Config } from 'tailwindcss';
 import type { DefaultColors } from 'tailwindcss/types/generated/colors';
 
 const themeDark = (colors: DefaultColors) => ({
-  50: '#0d1117',
-  100: '#161b22',
-  200: '#21262d',
-  300: '#30363d',
+  50: '#0a0a0a',
+  100: '#111111',
+  200: '#1c1c1c',
 });
 
 const themeLight = (colors: DefaultColors) => ({
-  50: '#ffffff',
-  100: '#f6f8fa',
-  200: '#d0d7de',
-  300: '#afb8c1',
+  50: '#fcfcf9',
+  100: '#f3f3ee',
+  200: '#e8e8e3',
 });
 
 const config: Config = {
@@ -49,6 +47,6 @@ const config: Config = {
       },
     },
   },
-  plugins: [require('@tailwindcss/typography'), require('@headlessui/tailwindcss')({ prefix: 'headless' })],
+  plugins: [require('@tailwindcss/typography')],
 };
 export default config;

yarn.lock

@@ -29,6 +29,11 @@
   dependencies:
     regenerator-runtime "^0.14.0"
 
+"@babel/runtime@^7.3.1":
+  version "7.28.2"
+  resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.28.2.tgz#2ae5a9d51cc583bd1f5673b3bb70d6d819682473"
+  integrity sha512-KHp2IflsnGywDjBWDkR9iEqiWSpc8GIi0lgTT3mOElT0PP1tG26P4tmFI2YvAdzgq9RGyoHZQEIEdZy6Ec5xCA==
+
 "@cfworker/json-schema@^4.0.2":
   version "4.1.1"
   resolved "https://registry.yarnpkg.com/@cfworker/json-schema/-/json-schema-4.1.1.tgz#4a2a3947ee9fa7b7c24be981422831b8674c3be6"
@@ -407,11 +412,6 @@
     "@react-aria/interactions" "^3.21.3"
     "@tanstack/react-virtual" "^3.8.1"
 
-"@headlessui/tailwindcss@^0.2.2":
-  version "0.2.2"
-  resolved "https://registry.yarnpkg.com/@headlessui/tailwindcss/-/tailwindcss-0.2.2.tgz#8ebde73fabca72d48636ea56ae790209dc5f0d49"
-  integrity sha512-xNe42KjdyA4kfUKLLPGzME9zkH7Q3rOZ5huFihWNWOQFxnItxPB3/67yBI8/qBfY8nwBRx5GHn4VprsoluVMGw==
-
 "@huggingface/jinja@^0.2.2":
   version "0.2.2"
   resolved "https://registry.yarnpkg.com/@huggingface/jinja/-/jinja-0.2.2.tgz#faeb205a9d6995089bef52655ddd8245d3190627"
@@ -666,6 +666,33 @@
     groq-sdk "^0.19.0"
     zod "^3.22.4"
 
+"@langchain/langgraph-checkpoint@^0.1.0":
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-0.1.0.tgz#d2a8bd9eb831f47cfe8b74bc196004388a6083bb"
+  integrity sha512-7oY5b0VQSxcV3DgoHdXiCgBhEzml/ZjZfKNeuq6oZ3ggcdUICa/fzrIBbFju6gxPU8ly93s0OsjF4yURnHw70Q==
+  dependencies:
+    uuid "^10.0.0"
+
+"@langchain/langgraph-sdk@~0.0.103":
+  version "0.0.103"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-0.0.103.tgz#e2380cc5a0d46b6c1f71988029c236c513db83d1"
+  integrity sha512-EcIamjpfM+1COVdsu5Hb0YIjvNztAbE6T0WBQylumPVkj5/rOF9spxfbs8TNeuKuFlMW05WMwC8hNyZnebv1mA==
+  dependencies:
+    "@types/json-schema" "^7.0.15"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^9.0.0"
+
+"@langchain/langgraph@^0.4.0":
+  version "0.4.0"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-0.4.0.tgz#1f54f1b6ab481ac4ed9331eb6ab8d853d0171393"
+  integrity sha512-o4Eix+lymyhKBL0lJ26e6SaezWC4iyMgFfD9b1nQ22uGKgxRH1QgIeiWP/rdaLWtgIOHNEMkDW+Y0VjCUmyqrg==
+  dependencies:
+    "@langchain/langgraph-checkpoint" "^0.1.0"
+    "@langchain/langgraph-sdk" "~0.0.103"
+    uuid "^10.0.0"
+    zod "^3.25.32"
+
 "@langchain/ollama@^0.2.3":
   version "0.2.3"
   resolved "https://registry.yarnpkg.com/@langchain/ollama/-/ollama-0.2.3.tgz#4868e66db4fc480f08c42fc652274abbab0416f0"
@@ -939,11 +966,23 @@
   dependencies:
     "@types/node" "*"
 
+"@types/hast@^2.0.0":
+  version "2.3.10"
+  resolved "https://registry.yarnpkg.com/@types/hast/-/hast-2.3.10.tgz#5c9d9e0b304bbb8879b857225c5ebab2d81d7643"
+  integrity sha512-McWspRw8xx8J9HurkVBfYj0xKoE25tOFlHGdx4MJ5xORQrMGZNqJhVQWaIbm6Oyla5kYOXtDiopzKRJzEOkwJw==
+  dependencies:
+    "@types/unist" "^2"
+
 "@types/html-to-text@^9.0.4":
   version "9.0.4"
   resolved "https://registry.yarnpkg.com/@types/html-to-text/-/html-to-text-9.0.4.tgz#4a83dd8ae8bfa91457d0b1ffc26f4d0537eff58c"
   integrity sha512-pUY3cKH/Nm2yYrEmDlPR1mR7yszjGx4DrwPjQ702C4/D5CwHuZTgZdIdwPkRbcuhs7BAh2L5rg3CL5cbRiGTCQ==
 
+"@types/json-schema@^7.0.15":
+  version "7.0.15"
+  resolved "https://registry.yarnpkg.com/@types/json-schema/-/json-schema-7.0.15.tgz#596a1747233694d50f6ad8a7869fcb6f56cf5841"
+  integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==
+
 "@types/json5@^0.0.29":
   version "0.0.29"
   resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
@@ -962,12 +1001,12 @@
   integrity sha512-MqTGEo5bj5t157U6fA/BiDynNkn0YknVdh48CMPkTSpFTVmvao5UQmm7uEF6xBEo7qIMAlY/JSleYaE6VOdpaA==
 
 "@types/node-fetch@^2.6.4":
-  version "2.6.13"
-  resolved "https://registry.yarnpkg.com/@types/node-fetch/-/node-fetch-2.6.13.tgz#e0c9b7b5edbdb1b50ce32c127e85e880872d56ee"
-  integrity sha512-QGpRVpzSaUs30JBSGPjOg4Uveu384erbHBoT1zeONvyCfwQxIkUshLAOqN/k9EjGviPRmWTTe6aH2qySWKTVSw==
+  version "2.6.12"
+  resolved "https://registry.yarnpkg.com/@types/node-fetch/-/node-fetch-2.6.12.tgz#8ab5c3ef8330f13100a7479e2cd56d3386830a03"
+  integrity sha512-8nneRWKCg3rMtF69nLQJnOYUcbafYeFSjqkw3jCRLsqkWFlHaoQrr5mXmofFGOx3DKn7UfmBMyov8ySvLRVldA==
   dependencies:
     "@types/node" "*"
-    form-data "^4.0.4"
+    form-data "^4.0.0"
 
 "@types/node@*", "@types/node@^20":
   version "20.12.5"
@@ -984,9 +1023,9 @@
     undici-types "~6.20.0"
 
 "@types/node@^18.11.18":
-  version "18.19.127"
-  resolved "https://registry.yarnpkg.com/@types/node/-/node-18.19.127.tgz#7c2e47fa79ad7486134700514d4a975c4607f09d"
-  integrity sha512-gSjxjrnKXML/yo0BO099uPixMqfpJU0TKYjpfLU7TrtA2WWDki412Np/RSTPRil1saKBhvVVKzVx/p/6p94nVA==
+  version "18.19.121"
+  resolved "https://registry.yarnpkg.com/@types/node/-/node-18.19.121.tgz#c50d353ea2d1fb1261a8bbd0bf2850306f5af2b3"
+  integrity sha512-bHOrbyztmyYIi4f1R0s17QsPs1uyyYnGcXeZoGEd227oZjry0q6XQBQxd82X1I57zEfwO8h9Xo+Kl5gX1d9MwQ==
   dependencies:
     undici-types "~5.26.4"
 
@@ -1012,6 +1051,13 @@
   dependencies:
     "@types/react" "*"
 
+"@types/react-syntax-highlighter@^15.5.13":
+  version "15.5.13"
+  resolved "https://registry.yarnpkg.com/@types/react-syntax-highlighter/-/react-syntax-highlighter-15.5.13.tgz#c5baf62a3219b3bf28d39cfea55d0a49a263d1f2"
+  integrity sha512-uLGJ87j6Sz8UaBAooU0T6lWJ0dBmjZgN1PZTrj05TNql2/XpC6+4HhMT5syIdFUUt+FASfCeLLv4kBygNU+8qA==
+  dependencies:
+    "@types/react" "*"
+
 "@types/react@*", "@types/react@^18":
   version "18.2.74"
   resolved "https://registry.yarnpkg.com/@types/react/-/react-18.2.74.tgz#2d52eb80e4e7c4ea8812c89181d6d590b53f958c"
@@ -1035,6 +1081,11 @@
   resolved "https://registry.yarnpkg.com/@types/trusted-types/-/trusted-types-2.0.7.tgz#baccb07a970b91707df3a3e8ba6896c57ead2d11"
   integrity sha512-ScaPdn1dQczgbl0QFTeTOmVHFULt394XJgOQNoyVhZ6r2vLnMLJfBPd53SB52T/3G36VI1/g2MZaX0cwDuXsfw==
 
+"@types/unist@^2":
+  version "2.0.11"
+  resolved "https://registry.yarnpkg.com/@types/unist/-/unist-2.0.11.tgz#11af57b127e32487774841f7a4e54eab166d03c4"
+  integrity sha512-CmBKiL6NNo/OqgmMn95Fk9Whlp2mtvIv+KNpQKN2F4SjvrEesubTRWGYSg+BnWZOnlCaSTU1sMpsBOzgbYhnsA==
+
 "@types/uuid@^10.0.0":
   version "10.0.0"
   resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
@@ -1518,14 +1569,6 @@ busboy@1.6.0:
   dependencies:
     streamsearch "^1.1.0"
 
-call-bind-apply-helpers@^1.0.1, call-bind-apply-helpers@^1.0.2:
-  version "1.0.2"
-  resolved "https://registry.yarnpkg.com/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz#4b5428c222be985d79c3d82657479dbe0b59b2d6"
-  integrity sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==
-  dependencies:
-    es-errors "^1.3.0"
-    function-bind "^1.1.2"
-
 call-bind@^1.0.2, call-bind@^1.0.5, call-bind@^1.0.6, call-bind@^1.0.7:
   version "1.0.7"
   resolved "https://registry.yarnpkg.com/call-bind/-/call-bind-1.0.7.tgz#06016599c40c56498c18769d2730be242b6fa3b9"
@@ -1584,6 +1627,21 @@ chalk@^4.0.0, chalk@^4.1.2:
     ansi-styles "^4.1.0"
     supports-color "^7.1.0"
 
+character-entities-legacy@^1.0.0:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/character-entities-legacy/-/character-entities-legacy-1.1.4.tgz#94bc1845dce70a5bb9d2ecc748725661293d8fc1"
+  integrity sha512-3Xnr+7ZFS1uxeiUDvV02wQ+QDbc55o97tIV5zHScSPJpcLm/r0DFPcoY3tYRp+VZukxuMeKgXYmsXQHO05zQeA==
+
+character-entities@^1.0.0:
+  version "1.2.4"
+  resolved "https://registry.yarnpkg.com/character-entities/-/character-entities-1.2.4.tgz#e12c3939b7eaf4e5b15e7ad4c5e28e1d48c5b16b"
+  integrity sha512-iBMyeEHxfVnIakwOuDXpVkc54HijNgCyQB2w0VfGQThle6NXn50zU6V/u+LDhxHcDUPojn6Kpga3PTAD8W1bQw==
+
+character-reference-invalid@^1.0.0:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/character-reference-invalid/-/character-reference-invalid-1.1.4.tgz#083329cda0eae272ab3dbbf37e9a382c13af1560"
+  integrity sha512-mKKUkUbhPpQlCOfIuZkvSEgktjPFIsZKRRbC6KWVEMvlzblj3i3asQv5ODsrwt0N3pHAEvjP8KTQPHkp0+6jOg==
+
 chokidar@^3.5.3:
   version "3.6.0"
   resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.6.0.tgz#197c6cc669ef2a8dc5e7b4d97ee4e092c3eb0d5b"
@@ -1691,6 +1749,11 @@ combined-stream@^1.0.8:
   dependencies:
     delayed-stream "~1.0.0"
 
+comma-separated-tokens@^1.0.0:
+  version "1.0.8"
+  resolved "https://registry.yarnpkg.com/comma-separated-tokens/-/comma-separated-tokens-1.0.8.tgz#632b80b6117867a158f1080ad498b2fbe7e3f5ea"
+  integrity sha512-GHuDRO12Sypu2cV70d1dkA2EUmXHgntrzbpvOB+Qy+49ypNfGgFQIC2fhhXbnyrJRynDCAARsT7Ou0M6hirpfw==
+
 commander@^4.0.0:
   version "4.1.1"
   resolved "https://registry.yarnpkg.com/commander/-/commander-4.1.1.tgz#9fd602bd936294e9e9ef46a3f4d6964044b18068"
@@ -1979,15 +2042,6 @@ duck@^0.1.12:
   dependencies:
     underscore "^1.13.1"
 
-dunder-proto@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.yarnpkg.com/dunder-proto/-/dunder-proto-1.0.1.tgz#d7ae667e1dc83482f8b70fd0f6eefc50da30f58a"
-  integrity sha512-KIN/nDJBQRcXw0MLVhZE9iQHmG68qAVIBg9CqmUYjmQIhgij9U5MFvrqkUL5FbtyyzZuOeOt0zdeRe4UY7ct+A==
-  dependencies:
-    call-bind-apply-helpers "^1.0.1"
-    es-errors "^1.3.0"
-    gopd "^1.2.0"
-
 eastasianwidth@^0.2.0:
   version "0.2.0"
   resolved "https://registry.yarnpkg.com/eastasianwidth/-/eastasianwidth-0.2.0.tgz#696ce2ec0aa0e6ea93a397ffcf24aa7840c827cb"
@@ -2097,11 +2151,6 @@ es-define-property@^1.0.0:
   dependencies:
     get-intrinsic "^1.2.4"
 
-es-define-property@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.yarnpkg.com/es-define-property/-/es-define-property-1.0.1.tgz#983eb2f9a6724e9303f61addf011c72e09e0b0fa"
-  integrity sha512-e3nRfgfUZ4rNGL232gUgX06QNyyez04KdjFrF+LTRoOXmrOgFKDg4BCdsjW8EnT69eqdYGmRpJwiPVYNrCaW3g==
-
 es-errors@^1.1.0, es-errors@^1.2.1, es-errors@^1.3.0:
   version "1.3.0"
   resolved "https://registry.yarnpkg.com/es-errors/-/es-errors-1.3.0.tgz#05f75a25dab98e4fb1dcd5e1472c0546d5057c8f"
@@ -2134,13 +2183,6 @@ es-object-atoms@^1.0.0:
   dependencies:
     es-errors "^1.3.0"
 
-es-object-atoms@^1.1.1:
-  version "1.1.1"
-  resolved "https://registry.yarnpkg.com/es-object-atoms/-/es-object-atoms-1.1.1.tgz#1c4f2c4837327597ce69d2ca190a7fdd172338c1"
-  integrity sha512-FGgH2h8zKNim9ljj7dankFPcICIK9Cp5bm+c2gQSYePhpaG5+esrLODihIorn+Pe6FGJzWhXQotPv73jTaldXA==
-  dependencies:
-    es-errors "^1.3.0"
-
 es-set-tostringtag@^2.0.3:
   version "2.0.3"
   resolved "https://registry.yarnpkg.com/es-set-tostringtag/-/es-set-tostringtag-2.0.3.tgz#8bb60f0a440c2e4281962428438d58545af39777"
@@ -2150,16 +2192,6 @@ es-set-tostringtag@^2.0.3:
     has-tostringtag "^1.0.2"
     hasown "^2.0.1"
 
-es-set-tostringtag@^2.1.0:
-  version "2.1.0"
-  resolved "https://registry.yarnpkg.com/es-set-tostringtag/-/es-set-tostringtag-2.1.0.tgz#f31dbbe0c183b00a6d26eb6325c810c0fd18bd4d"
-  integrity sha512-j6vWzfrGVfyXxge+O0x5sh6cvxAog0a/4Rdd2K36zCMV5eJ+/+tOAngRO8cODMNWbVRdVlmGZQL2YS3yR8bIUA==
-  dependencies:
-    es-errors "^1.3.0"
-    get-intrinsic "^1.2.6"
-    has-tostringtag "^1.0.2"
-    hasown "^2.0.2"
-
 es-shim-unscopables@^1.0.0, es-shim-unscopables@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/es-shim-unscopables/-/es-shim-unscopables-1.0.2.tgz#1f6942e71ecc7835ed1c8a83006d8771a63a3763"
@@ -2523,6 +2555,13 @@ fastq@^1.6.0:
   dependencies:
     reusify "^1.0.4"
 
+fault@^1.0.0:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/fault/-/fault-1.0.4.tgz#eafcfc0a6d214fc94601e170df29954a4f842f13"
+  integrity sha512-CJ0HCB5tL5fYTEA7ToAq5+kTwd++Borf1/bifxd9iT70QcXr4MRrO3Llf8Ifs70q+SJcGHFtnIE/Nw6giCtECA==
+  dependencies:
+    format "^0.2.0"
+
 fecha@^4.2.0:
   version "4.2.3"
   resolved "https://registry.yarnpkg.com/fecha/-/fecha-4.2.3.tgz#4d9ccdbc61e8629b259fdca67e65891448d569fd"
@@ -2623,16 +2662,10 @@ form-data@^4.0.0:
     combined-stream "^1.0.8"
     mime-types "^2.1.12"
 
-form-data@^4.0.4:
-  version "4.0.4"
-  resolved "https://registry.yarnpkg.com/form-data/-/form-data-4.0.4.tgz#784cdcce0669a9d68e94d11ac4eea98088edd2c4"
-  integrity sha512-KrGhL9Q4zjj0kiUt5OO4Mr/A/jlI2jDYs5eHBpYHPcBEVSiipAvn2Ko2HnPe20rmcuuvMHNdZFp+4IlGTMF0Ow==
-  dependencies:
-    asynckit "^0.4.0"
-    combined-stream "^1.0.8"
-    es-set-tostringtag "^2.1.0"
-    hasown "^2.0.2"
-    mime-types "^2.1.12"
+format@^0.2.0:
+  version "0.2.2"
+  resolved "https://registry.yarnpkg.com/format/-/format-0.2.2.tgz#d6170107e9efdc4ed30c9dc39016df942b5cb58b"
+  integrity sha512-wzsgA6WOq+09wrU1tsJ09udeR/YZRaeArL9e1wPbFg3GG2yDnC2ldKpxs4xunpFF9DgqCqOIra3bc1HWrJ37Ww==
 
 formdata-node@^4.3.2:
   version "4.4.1"
@@ -2710,30 +2743,6 @@ get-intrinsic@^1.1.3, get-intrinsic@^1.2.1, get-intrinsic@^1.2.3, get-intrinsic@
     has-symbols "^1.0.3"
     hasown "^2.0.0"
 
-get-intrinsic@^1.2.6:
-  version "1.3.0"
-  resolved "https://registry.yarnpkg.com/get-intrinsic/-/get-intrinsic-1.3.0.tgz#743f0e3b6964a93a5491ed1bffaae054d7f98d01"
-  integrity sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ==
-  dependencies:
-    call-bind-apply-helpers "^1.0.2"
-    es-define-property "^1.0.1"
-    es-errors "^1.3.0"
-    es-object-atoms "^1.1.1"
-    function-bind "^1.1.2"
-    get-proto "^1.0.1"
-    gopd "^1.2.0"
-    has-symbols "^1.1.0"
-    hasown "^2.0.2"
-    math-intrinsics "^1.1.0"
-
-get-proto@^1.0.1:
-  version "1.0.1"
-  resolved "https://registry.yarnpkg.com/get-proto/-/get-proto-1.0.1.tgz#150b3f2743869ef3e851ec0c49d15b1d14d00ee1"
-  integrity sha512-sTSfBjoXBp89JvIKIefqw7U2CCebsc74kiY6awiGogKtoSGbgjYE/G/+l9sF3MWFPNc9IcoOC4ODfKHfxFmp0g==
-  dependencies:
-    dunder-proto "^1.0.1"
-    es-object-atoms "^1.0.0"
-
 get-symbol-description@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/get-symbol-description/-/get-symbol-description-1.0.2.tgz#533744d5aa20aca4e079c8e5daf7fd44202821f5"
@@ -2843,11 +2852,6 @@ gopd@^1.0.1:
   dependencies:
     get-intrinsic "^1.1.3"
 
-gopd@^1.2.0:
-  version "1.2.0"
-  resolved "https://registry.yarnpkg.com/gopd/-/gopd-1.2.0.tgz#89f56b8217bdbc8802bd299df6d7f1081d7e51a1"
-  integrity sha512-ZUKRh6/kUFoAiTAtTYPZJ3hw9wNxx+BIBOijnlG9PnrJsCcSjs1wyyD6vJpaYtgnzDrKYRSqf3OO6Rfa93xsRg==
-
 graceful-fs@^4.2.4:
   version "4.2.11"
   resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.2.11.tgz#4183e4e8bf08bb6e05bbb2f7d2e0c8f712ca40e3"
@@ -2916,11 +2920,6 @@ has-symbols@^1.0.2, has-symbols@^1.0.3:
   resolved "https://registry.yarnpkg.com/has-symbols/-/has-symbols-1.0.3.tgz#bb7b2c4349251dce87b125f7bdf874aa7c8b39f8"
   integrity sha512-l3LCuF6MgDNwTDKkdYGEihYjt5pRPbEg46rtlmnSPlUbgmB8LOIrKJbYYFBSbnPaJexMKtiPO8hmeRjRz2Td+A==
 
-has-symbols@^1.1.0:
-  version "1.1.0"
-  resolved "https://registry.yarnpkg.com/has-symbols/-/has-symbols-1.1.0.tgz#fc9c6a783a084951d0b971fe1018de813707a338"
-  integrity sha512-1cDNdwJ2Jaohmb3sg4OmKaMBwuC48sYni5HUw2DvsC8LjGTLK9h+eb1X6RyuOHe4hT0ULCW68iomhjUoKUqlPQ==
-
 has-tostringtag@^1.0.0, has-tostringtag@^1.0.2:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/has-tostringtag/-/has-tostringtag-1.0.2.tgz#2cdc42d40bef2e5b4eeab7c01a73c54ce7ab5abc"
@@ -2935,6 +2934,32 @@ hasown@^2.0.0, hasown@^2.0.1, hasown@^2.0.2:
   dependencies:
     function-bind "^1.1.2"
 
+hast-util-parse-selector@^2.0.0:
+  version "2.2.5"
+  resolved "https://registry.yarnpkg.com/hast-util-parse-selector/-/hast-util-parse-selector-2.2.5.tgz#d57c23f4da16ae3c63b3b6ca4616683313499c3a"
+  integrity sha512-7j6mrk/qqkSehsM92wQjdIgWM2/BW61u/53G6xmC8i1OmEdKLHbk419QKQUjz6LglWsfqoiHmyMRkP1BGjecNQ==
+
+hastscript@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/hastscript/-/hastscript-6.0.0.tgz#e8768d7eac56c3fdeac8a92830d58e811e5bf640"
+  integrity sha512-nDM6bvd7lIqDUiYEiu5Sl/+6ReP0BMk/2f4U/Rooccxkj0P5nm+acM5PrGJ/t5I8qPGiqZSE6hVAwZEdZIvP4w==
+  dependencies:
+    "@types/hast" "^2.0.0"
+    comma-separated-tokens "^1.0.0"
+    hast-util-parse-selector "^2.0.0"
+    property-information "^5.0.0"
+    space-separated-tokens "^1.0.0"
+
+highlight.js@^10.4.1, highlight.js@~10.7.0:
+  version "10.7.3"
+  resolved "https://registry.yarnpkg.com/highlight.js/-/highlight.js-10.7.3.tgz#697272e3991356e40c3cac566a74eef681756531"
+  integrity sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A==
+
+highlightjs-vue@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/highlightjs-vue/-/highlightjs-vue-1.0.0.tgz#fdfe97fbea6354e70ee44e3a955875e114db086d"
+  integrity sha512-PDEfEF102G23vHmPhLyPboFCD+BkMGu+GuJe2d9/eH4FsCwvgBpnc9n0pGE+ffKdph38s6foEZiEjdgHdzp+IA==
+
 html-to-text@^9.0.5:
   version "9.0.5"
   resolved "https://registry.yarnpkg.com/html-to-text/-/html-to-text-9.0.5.tgz#6149a0f618ae7a0db8085dca9bbf96d32bb8368d"
@@ -3026,6 +3051,19 @@ internal-slot@^1.0.7:
     hasown "^2.0.0"
     side-channel "^1.0.4"
 
+is-alphabetical@^1.0.0:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/is-alphabetical/-/is-alphabetical-1.0.4.tgz#9e7d6b94916be22153745d184c298cbf986a686d"
+  integrity sha512-DwzsA04LQ10FHTZuL0/grVDk4rFoVH1pjAToYwBrHSxcrBIGQuXrQMtD5U1b0U2XVgKZCTLLP8u2Qxqhy3l2Vg==
+
+is-alphanumerical@^1.0.0:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/is-alphanumerical/-/is-alphanumerical-1.0.4.tgz#7eb9a2431f855f6b1ef1a78e326df515696c4dbf"
+  integrity sha512-UzoZUr+XfVz3t3v4KyGEniVL9BDRoQtY7tOyrRybkVNjDFWyo1yhXNGrrBTQxp3ib9BLAWs7k2YKBQsFRkZG9A==
+  dependencies:
+    is-alphabetical "^1.0.0"
+    is-decimal "^1.0.0"
+
 is-array-buffer@^3.0.4:
   version "3.0.4"
   resolved "https://registry.yarnpkg.com/is-array-buffer/-/is-array-buffer-3.0.4.tgz#7a1f92b3d61edd2bc65d24f130530ea93d7fae98"
@@ -3094,6 +3132,11 @@ is-date-object@^1.0.1, is-date-object@^1.0.5:
   dependencies:
     has-tostringtag "^1.0.0"
 
+is-decimal@^1.0.0:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/is-decimal/-/is-decimal-1.0.4.tgz#65a3a5958a1c5b63a706e1b333d7cd9f630d3fa5"
+  integrity sha512-RGdriMmQQvZ2aqaQq3awNA6dCGtKpiDFcOzrTWrDAT2MiWrKQVPmxLGHl7Y2nNu6led0kEyoX0enY0qXYsv9zw==
+
 is-extglob@^2.1.1:
   version "2.1.1"
   resolved "https://registry.yarnpkg.com/is-extglob/-/is-extglob-2.1.1.tgz#a88c02535791f02ed37c76a1b9ea9773c833f8c2"
@@ -3125,6 +3168,11 @@ is-glob@^4.0.0, is-glob@^4.0.1, is-glob@^4.0.3, is-glob@~4.0.1:
   dependencies:
     is-extglob "^2.1.1"
 
+is-hexadecimal@^1.0.0:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/is-hexadecimal/-/is-hexadecimal-1.0.4.tgz#cc35c97588da4bd49a8eedd6bc4082d44dcb23a7"
+  integrity sha512-gyPJuv83bHMpocVYoqof5VDiZveEoGoFL8m3BXNb2VW8Xs+rz9kqO8LOQ5DH6EsuvilT1ApazU0pyl+ytbPtlw==
+
 is-map@^2.0.3:
   version "2.0.3"
   resolved "https://registry.yarnpkg.com/is-map/-/is-map-2.0.3.tgz#ede96b7fe1e270b3c4465e3a465658764926d62e"
@@ -3498,6 +3546,14 @@ lop@^0.4.2:
     option "~0.2.1"
     underscore "^1.13.1"
 
+lowlight@^1.17.0:
+  version "1.20.0"
+  resolved "https://registry.yarnpkg.com/lowlight/-/lowlight-1.20.0.tgz#ddb197d33462ad0d93bf19d17b6c301aa3941888"
+  integrity sha512-8Ktj+prEb1RoCPkEOrPMYUN/nCggB7qAWe3a7OpMjWQkh3l2RD5wKRQ+o8Q8YuI9RG/xs95waaI/E6ym/7NsTw==
+  dependencies:
+    fault "^1.0.0"
+    highlight.js "~10.7.0"
+
 lru-cache@^10.2.0:
   version "10.2.0"
   resolved "https://registry.yarnpkg.com/lru-cache/-/lru-cache-10.2.0.tgz#0bd445ca57363465900f4d1f9bd8db343a4d95c3"
@@ -3536,11 +3592,6 @@ markdown-to-jsx@^7.7.2:
   resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.7.2.tgz#59c1dd64f48b53719311ab140be3cd51cdabccd3"
   integrity sha512-N3AKfYRvxNscvcIH6HDnDKILp4S8UWbebp+s92Y8SwIq0CuSbLW4Jgmrbjku3CWKjTQO0OyIMS6AhzqrwjEa3g==
 
-math-intrinsics@^1.1.0:
-  version "1.1.0"
-  resolved "https://registry.yarnpkg.com/math-intrinsics/-/math-intrinsics-1.1.0.tgz#a0dd74be81e2aa5c2f27e65ce283605ee4e2b7f9"
-  integrity sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==
-
 merge2@^1.3.0, merge2@^1.4.1:
   version "1.4.1"
   resolved "https://registry.yarnpkg.com/merge2/-/merge2-1.4.1.tgz#4368892f885e907455a6fd7dc55c0c9d404990ae"
@@ -3956,6 +4007,18 @@ parent-module@^1.0.0:
   dependencies:
     callsites "^3.0.0"
 
+parse-entities@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/parse-entities/-/parse-entities-2.0.0.tgz#53c6eb5b9314a1f4ec99fa0fdf7ce01ecda0cbe8"
+  integrity sha512-kkywGpCcRYhqQIchaWqZ875wzpS/bMKhz5HnN3p7wveJTkTtyAB/AlnS0f8DFSqYW1T82t6yEAkEcB+A1I3MbQ==
+  dependencies:
+    character-entities "^1.0.0"
+    character-entities-legacy "^1.0.0"
+    character-reference-invalid "^1.0.0"
+    is-alphanumerical "^1.0.0"
+    is-decimal "^1.0.0"
+    is-hexadecimal "^1.0.0"
+
 parseley@^0.12.0:
   version "0.12.1"
   resolved "https://registry.yarnpkg.com/parseley/-/parseley-0.12.1.tgz#4afd561d50215ebe259e3e7a853e62f600683aef"
@@ -4143,6 +4206,16 @@ prettier@^3.2.5:
   resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.2.5.tgz#e52bc3090586e824964a8813b09aba6233b28368"
   integrity sha512-3/GWa9aOC0YeD7LUfvOG2NiDyhOWRvt1k+rcKhOuYnMY24iiCphgneUfJDyFXd6rZCAnuLBv6UeAULtrhT/F4A==
 
+prismjs@^1.27.0:
+  version "1.30.0"
+  resolved "https://registry.yarnpkg.com/prismjs/-/prismjs-1.30.0.tgz#d9709969d9d4e16403f6f348c63553b19f0975a9"
+  integrity sha512-DEvV2ZF2r2/63V+tK8hQvrR2ZGn10srHbXviTlcv7Kpzw8jWiNTqbVgjO3IY8RxrrOUF8VPMQQFysYYYv0YZxw==
+
+prismjs@~1.27.0:
+  version "1.27.0"
+  resolved "https://registry.yarnpkg.com/prismjs/-/prismjs-1.27.0.tgz#bb6ee3138a0b438a3653dd4d6ce0cc6510a45057"
+  integrity sha512-t13BGPUlFDR7wRB5kQDG4jjl7XeuH6jbJGt11JHPL96qwsEHNX2+68tFXqc1/k+/jALsbSWJKUOT/hcYAZ5LkA==
+
 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"
@@ -4157,6 +4230,13 @@ prop-types@^15.8.1:
     object-assign "^4.1.1"
     react-is "^16.13.1"
 
+property-information@^5.0.0:
+  version "5.6.0"
+  resolved "https://registry.yarnpkg.com/property-information/-/property-information-5.6.0.tgz#61675545fb23002f245c6540ec46077d4da3ed69"
+  integrity sha512-YUHSPk+A30YPv+0Qf8i9Mbfe/C0hdPXk1s1jPVToV8pk8BQtpw10ct89Eo7OWkutrwqvT0eicAxlOg3dOAu8JA==
+  dependencies:
+    xtend "^4.0.0"
+
 protobufjs@^6.8.8:
   version "6.11.4"
   resolved "https://registry.yarnpkg.com/protobufjs/-/protobufjs-6.11.4.tgz#29a412c38bf70d89e537b6d02d904a6f448173aa"
@@ -4247,6 +4327,18 @@ react-is@^16.13.1:
   resolved "https://registry.yarnpkg.com/react-is/-/react-is-16.13.1.tgz#789729a4dc36de2999dc156dd6c1d9c18cea56a4"
   integrity sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ==
 
+react-syntax-highlighter@^15.6.1:
+  version "15.6.1"
+  resolved "https://registry.yarnpkg.com/react-syntax-highlighter/-/react-syntax-highlighter-15.6.1.tgz#fa567cb0a9f96be7bbccf2c13a3c4b5657d9543e"
+  integrity sha512-OqJ2/vL7lEeV5zTJyG7kmARppUjiB9h9udl4qHQjjgEos66z00Ia0OckwYfRxCSFrW8RJIBnsBwQsHZbVPspqg==
+  dependencies:
+    "@babel/runtime" "^7.3.1"
+    highlight.js "^10.4.1"
+    highlightjs-vue "^1.0.0"
+    lowlight "^1.17.0"
+    prismjs "^1.27.0"
+    refractor "^3.6.0"
+
 react-text-to-speech@^0.14.5:
   version "0.14.5"
   resolved "https://registry.yarnpkg.com/react-text-to-speech/-/react-text-to-speech-0.14.5.tgz#f918786ab283311535682011045bd49777193300"
@@ -4317,6 +4409,15 @@ reflect.getprototypeof@^1.0.4:
     globalthis "^1.0.3"
     which-builtin-type "^1.1.3"
 
+refractor@^3.6.0:
+  version "3.6.0"
+  resolved "https://registry.yarnpkg.com/refractor/-/refractor-3.6.0.tgz#ac318f5a0715ead790fcfb0c71f4dd83d977935a"
+  integrity sha512-MY9W41IOWxxk31o+YvFCNyNzdkc9M20NoZK5vq6jkv4I/uh2zkWcfudj0Q1fovjUQJrNewS9NMzeTtqPf+n5EA==
+  dependencies:
+    hastscript "^6.0.0"
+    parse-entities "^2.0.0"
+    prismjs "~1.27.0"
+
 regenerator-runtime@^0.13.7:
   version "0.13.11"
   resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz#f6dca3e7ceec20590d07ada785636a90cdca17f9"
@@ -4625,6 +4726,11 @@ source-map@^0.6.0:
   resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
   integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
 
+space-separated-tokens@^1.0.0:
+  version "1.1.5"
+  resolved "https://registry.yarnpkg.com/space-separated-tokens/-/space-separated-tokens-1.1.5.tgz#85f32c3d10d9682007e917414ddc5c26d1aa6899"
+  integrity sha512-q/JSVd1Lptzhf5bkYm4ob4iWPjx0KiRe3sRFBNrVqbJkFaBm5vbbowy1mymoPNLRa52+oadOhJ+K49wsSeSjTA==
+
 sprintf-js@~1.0.2:
   version "1.0.3"
   resolved "https://registry.yarnpkg.com/sprintf-js/-/sprintf-js-1.0.3.tgz#04e6926f662895354f3dd015203633b857297e2c"
@@ -5054,10 +5160,10 @@ typed-array-length@^1.0.6:
     is-typed-array "^1.1.13"
     possible-typed-array-names "^1.0.0"
 
-typescript@^5:
-  version "5.4.4"
-  resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.4.4.tgz#eb2471e7b0a5f1377523700a21669dce30c2d952"
-  integrity sha512-dGE2Vv8cpVvw28v8HCPqyb08EzbBURxDpuhJvTrusShUfGnhHBafDsLdS1EhhxyL6BJQE+2cT3dDPAv+MQ6oLw==
+typescript@5.8.3:
+  version "5.8.3"
+  resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.8.3.tgz#92f8a3e5e3cf497356f4178c34cd65a7f5e8440e"
+  integrity sha512-p1diW6TqL9L07nNxvRMM7hMMw4c5XOo/1ibL4aAIGmSAt9slTE1Xgw5KWuof2uTOvCg9BY7ZRi+GaF+7sfgPeQ==
 
 unbox-primitive@^1.0.2:
   version "1.0.2"
@@ -5138,7 +5244,7 @@ uuid@^11.1.0:
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
   integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
 
-uuid@^9.0.1:
+uuid@^9.0.0, uuid@^9.0.1:
   version "9.0.1"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.1.tgz#e188d4c8853cc722220392c424cd637f32293f30"
   integrity sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==
@@ -5317,6 +5423,11 @@ xmlbuilder@^10.0.0:
   resolved "https://registry.yarnpkg.com/xmlbuilder/-/xmlbuilder-10.1.1.tgz#8cae6688cc9b38d850b7c8d3c0a4161dcaf475b0"
   integrity sha512-OyzrcFLL/nb6fMGHbiRDuPup9ljBycsdCypwuyg5AAHvyWzGfChJpCXMG88AGTIMFhGZ9RccFN1e6lhg3hkwKg==
 
+xtend@^4.0.0:
+  version "4.0.2"
+  resolved "https://registry.yarnpkg.com/xtend/-/xtend-4.0.2.tgz#bb72779f5fa465186b1f438f674fa347fdb5db54"
+  integrity sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==
+
 y18n@^5.0.5:
   version "5.0.8"
   resolved "https://registry.yarnpkg.com/y18n/-/y18n-5.0.8.tgz#7f4934d0f7ca8c56f95314939ddcd2dd91ce1d55"