feat(widgets): add LLM context to prevent context overflow

feat(app): handle new architecture
feat(optimization): enable quality
2025-11-24 14:08:14 +00:00 · 2025-11-24 15:35:00 +05:30 · 2025-11-23 19:58:46 +05:30 · 2025-11-23 19:49:54 +05:30 · 2025-11-23 19:49:36 +05:30 · 2025-11-23 19:48:44 +05:30
112 changed files with 6009 additions and 3280 deletions
--- a/.assets/demo.gif
+++ b/.assets/demo.gif
--- a/.assets/perplexica-preview.gif
+++ b/.assets/perplexica-preview.gif
--- a/.assets/sponsers/exa.png
+++ b/.assets/sponsers/exa.png
--- a/.assets/sponsers/warp.png
+++ b/.assets/sponsers/warp.png
--- a/README.md
+++ b/README.md
@@ -1,74 +1,76 @@
-# 🚀 Perplexica - An AI-powered search engine 🔎 <!-- omit in toc -->
-
-<div align="center" markdown="1">
-   <sup>Special thanks to:</sup>
-   <br>
-   <br>
-   <a href="https://www.warp.dev/perplexica">
-      <img alt="Warp sponsorship" width="400" src="https://github.com/user-attachments/assets/775dd593-9b5f-40f1-bf48-479faff4c27b">
-   </a>
-
-### [Warp, the AI Devtool that lives in your terminal](https://www.warp.dev/perplexica)
-
-[Available for MacOS, Linux, & Windows](https://www.warp.dev/perplexica)
-
-</div>
-
-<hr/>
+# Perplexica 🔍

+[![GitHub Repo stars](https://img.shields.io/github/stars/ItzCrazyKns/Perplexica?style=social)](https://github.com/ItzCrazyKns/Perplexica/stargazers)
+[![GitHub forks](https://img.shields.io/github/forks/ItzCrazyKns/Perplexica?style=social)](https://github.com/ItzCrazyKns/Perplexica/network/members)
+[![GitHub watchers](https://img.shields.io/github/watchers/ItzCrazyKns/Perplexica?style=social)](https://github.com/ItzCrazyKns/Perplexica/watchers)
+[![Docker Pulls](https://img.shields.io/docker/pulls/itzcrazykns1337/perplexica?color=blue)](https://hub.docker.com/r/itzcrazykns1337/perplexica)
+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/ItzCrazyKns/Perplexica/blob/master/LICENSE)
+[![GitHub last commit](https://img.shields.io/github/last-commit/ItzCrazyKns/Perplexica?color=green)](https://github.com/ItzCrazyKns/Perplexica/commits/master)
 [![Discord](https://dcbadge.limes.pink/api/server/26aArMy8tT?style=flat)](https://discord.gg/26aArMy8tT)

-![preview](.assets/perplexica-screenshot.png?)
+Perplexica is a **privacy-focused AI answering engine** that runs entirely on your own hardware. It combines knowledge from the vast internet with support for **local LLMs** (Ollama) and cloud providers (OpenAI, Claude, Groq), delivering accurate answers with **cited sources** while keeping your searches completely private.

-## Table of Contents <!-- omit in toc -->
-
- [Overview](#overview)
- [Preview](#preview)
- [Features](#features)
- [Installation](#installation)
-  - [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)
- [One-Click Deployment](#one-click-deployment)
- [Upcoming Features](#upcoming-features)
- [Support Us](#support-us)
-  - [Donations](#donations)
- [Contribution](#contribution)
- [Help and Support](#help-and-support)
-
-## Overview
-
-Perplexica is an open-source AI-powered searching tool or an AI-powered search engine that goes deep into the internet to find answers. Inspired by Perplexity AI, it's an open-source option that not just searches the web but understands your questions. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.
-
-Using SearxNG to stay current and fully open source, Perplexica ensures you always get the most up-to-date information without compromising your privacy.
+![preview](.assets/perplexica-screenshot.png)

 Want to know more about its architecture and how it works? You can read it [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/architecture/README.md).

-## Preview
+## ✨ Features

-![video-preview](.assets/perplexica-preview.gif)
+🤖 **Support for all major AI providers** - Use local LLMs through Ollama or connect to OpenAI, Anthropic Claude, Google Gemini, Groq, and more. Mix and match models based on your needs.

-## Features
+⚡ **Smart search modes** - Choose Balanced Mode for everyday searches, Fast Mode when you need quick answers, or wait for Quality Mode (coming soon) for deep research.

- **Local LLMs**: You can utilize local LLMs such as Qwen, DeepSeek, Llama, and Mistral.
- **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.
- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 6 focus modes:
-  - **All Mode:** Searches the entire web to find the best results.
-  - **Writing Assistant Mode:** Helpful for writing tasks that do not require searching the web.
-  - **Academic Search Mode:** Finds articles and papers, ideal for academic research.
-  - **YouTube Search Mode:** Finds YouTube videos based on the search query.
-  - **Wolfram Alpha Search Mode:** Answers queries that need calculations or data analysis using Wolfram Alpha.
-  - **Reddit Search Mode:** Searches Reddit for discussions and opinions related to the query.
- **Current Information:** Some search tools might give you outdated info because they use data from crawling bots and convert them into embeddings and store them in a index. Unlike them, Perplexica uses SearxNG, a metasearch engine to get the results and rerank and get the most relevant source out of it, ensuring you always get the latest information without the overhead of daily data updates.
- **API**: Integrate Perplexica into your existing applications and make use of its capibilities.
+🎯 **Six specialized focus modes** - Get better results with modes designed for specific tasks: Academic papers, YouTube videos, Reddit discussions, Wolfram Alpha calculations, writing assistance, or general web search.

-It has many more features like image and video search. Some of the planned features are mentioned in [upcoming features](#upcoming-features).
+🔍 **Web search powered by SearxNG** - Access multiple search engines while keeping your identity private. Support for Tavily and Exa coming soon for even better results.
+
+📷 **Image and video search** - Find visual content alongside text results. Search isn't limited to just articles anymore.
+
+📄 **File uploads** - Upload documents and ask questions about them. PDFs, text files, images - Perplexica understands them all.
+
+🌐 **Search specific domains** - Limit your search to specific websites when you know where to look. Perfect for technical documentation or research papers.
+
+💡 **Smart suggestions** - Get intelligent search suggestions as you type, helping you formulate better queries.
+
+📚 **Discover** - Browse interesting articles and trending content throughout the day. Stay informed without even searching.
+
+🕒 **Search history** - Every search is saved locally so you can revisit your discoveries anytime. Your research is never lost.
+
+✨ **More coming soon** - We're actively developing new features based on community feedback. Join our Discord to help shape Perplexica's future!
+
+## Sponsors
+
+Perplexica's development is powered by the generous support of our sponsors. Their contributions help keep this project free, open-source, and accessible to everyone.
+
+<div align="center">
+  
+  
+<a href="https://www.warp.dev/perplexica">
+  <img alt="Warp Terminal" src=".assets/sponsers/warp.png" width="100%">
+</a>
+
+### **✨ [Try Warp - The AI-Powered Terminal →](https://www.warp.dev/perplexica)**
+
+Warp is revolutionizing development workflows with AI-powered features, modern UX, and blazing-fast performance. Used by developers at top companies worldwide.
+
+</div>
+
+---
+
+We'd also like to thank the following partners for their generous support:
+
+<table>
+  <tr>
+    <td>
+      <a href="https://dashboard.exa.ai" target="_blank">
+        <img src=".assets/sponsers/exa.png" alt="Exa" style="max-width: 8rem; max-height: 8rem; border-radius: .75rem;" />
+      </a>
+    </td>
+    <td>
+      <a href="https://dashboard.exa.ai">Exa</a> • The Perfect Web Search API for LLMs - web search, crawling, deep research, and answer APIs
+    </td>
+  </tr>
+</table>

 ## Installation

--- a/drizzle/0002_daffy_wrecker.sql
+++ b/drizzle/0002_daffy_wrecker.sql
@@ -0,0 +1,15 @@
+PRAGMA foreign_keys=OFF;--> statement-breakpoint
+CREATE TABLE `__new_messages` (
+	`id` integer PRIMARY KEY NOT NULL,
+	`messageId` text NOT NULL,
+	`chatId` text NOT NULL,
+	`backendId` text NOT NULL,
+	`query` text NOT NULL,
+	`createdAt` text NOT NULL,
+	`responseBlocks` text DEFAULT '[]',
+	`status` text DEFAULT 'answering'
+);
+--> statement-breakpoint
+DROP TABLE `messages`;--> statement-breakpoint
+ALTER TABLE `__new_messages` RENAME TO `messages`;--> statement-breakpoint
+PRAGMA foreign_keys=ON;
--- a/drizzle/meta/0002_snapshot.json
+++ b/drizzle/meta/0002_snapshot.json
@@ -0,0 +1,132 @@
+{
+  "version": "6",
+  "dialect": "sqlite",
+  "id": "1c5eb804-d6b4-48ec-9a8f-75fb729c8e52",
+  "prevId": "6dedf55f-0e44-478f-82cf-14a21ac686f8",
+  "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
+        },
+        "messageId": {
+          "name": "messageId",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": true,
+          "autoincrement": false
+        },
+        "chatId": {
+          "name": "chatId",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": true,
+          "autoincrement": false
+        },
+        "backendId": {
+          "name": "backendId",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": true,
+          "autoincrement": false
+        },
+        "query": {
+          "name": "query",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": true,
+          "autoincrement": false
+        },
+        "createdAt": {
+          "name": "createdAt",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": true,
+          "autoincrement": false
+        },
+        "responseBlocks": {
+          "name": "responseBlocks",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": false,
+          "autoincrement": false,
+          "default": "'[]'"
+        },
+        "status": {
+          "name": "status",
+          "type": "text",
+          "primaryKey": false,
+          "notNull": false,
+          "autoincrement": false,
+          "default": "'answering'"
+        }
+      },
+      "indexes": {},
+      "foreignKeys": {},
+      "compositePrimaryKeys": {},
+      "uniqueConstraints": {},
+      "checkConstraints": {}
+    }
+  },
+  "views": {},
+  "enums": {},
+  "_meta": {
+    "schemas": {},
+    "tables": {},
+    "columns": {}
+  },
+  "internal": {
+    "indexes": {}
+  }
+}
--- a/drizzle/meta/_journal.json
+++ b/drizzle/meta/_journal.json
@@ -15,6 +15,13 @@
      "when": 1758863991284,
      "tag": "0001_wise_rockslide",
      "breakpoints": true
+    },
+    {
+      "idx": 2,
+      "version": "6",
+      "when": 1763732708332,
+      "tag": "0002_daffy_wrecker",
+      "breakpoints": true
    }
  ]
 }
--- a/package.json
+++ b/package.json
@@ -16,13 +16,14 @@
    "@huggingface/transformers": "^3.7.5",
    "@iarna/toml": "^2.2.5",
    "@icons-pack/react-simple-icons": "^12.3.0",
-    "@langchain/anthropic": "^1.0.0",
-    "@langchain/community": "^1.0.0",
-    "@langchain/core": "^1.0.1",
-    "@langchain/google-genai": "^1.0.0",
-    "@langchain/groq": "^1.0.0",
-    "@langchain/ollama": "^1.0.0",
-    "@langchain/openai": "^1.0.0",
+    "@langchain/anthropic": "^1.0.1",
+    "@langchain/community": "^1.0.3",
+    "@langchain/core": "^1.0.5",
+    "@langchain/google-genai": "^1.0.1",
+    "@langchain/groq": "^1.0.1",
+    "@langchain/langgraph": "^1.0.1",
+    "@langchain/ollama": "^1.0.1",
+    "@langchain/openai": "^1.1.1",
    "@langchain/textsplitters": "^1.0.0",
    "@tailwindcss/typography": "^0.5.12",
    "axios": "^1.8.3",
@@ -33,22 +34,29 @@
    "framer-motion": "^12.23.24",
    "html-to-text": "^9.0.5",
    "jspdf": "^3.0.1",
-    "langchain": "^1.0.1",
+    "langchain": "^1.0.4",
+    "lightweight-charts": "^5.0.9",
    "lucide-react": "^0.363.0",
    "mammoth": "^1.9.1",
    "markdown-to-jsx": "^7.7.2",
+    "mathjs": "^15.1.0",
    "next": "^15.2.2",
    "next-themes": "^0.3.0",
+    "ollama": "^0.6.3",
+    "openai": "^6.9.0",
+    "partial-json": "^0.1.7",
    "pdf-parse": "^1.1.1",
    "react": "^18",
    "react-dom": "^18",
    "react-text-to-speech": "^0.14.5",
    "react-textarea-autosize": "^8.5.3",
+    "rfc6902": "^5.1.2",
    "sonner": "^1.4.41",
    "tailwind-merge": "^2.2.2",
    "winston": "^3.17.0",
+    "yahoo-finance2": "^3.10.2",
    "yet-another-react-lightbox": "^3.17.2",
-    "zod": "^3.22.4"
+    "zod": "^4.1.12"
  },
  "devDependencies": {
    "@types/better-sqlite3": "^7.6.12",
--- a/src/app/api/chat/route.ts
+++ b/src/app/api/chat/route.ts
@@ -1,14 +1,10 @@
 import crypto from 'crypto';
-import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
-import { EventEmitter } from 'stream';
-import db from '@/lib/db';
-import { chats, messages as messagesSchema } from '@/lib/db/schema';
-import { and, eq, gt } from 'drizzle-orm';
-import { getFileDetails } from '@/lib/utils/files';
-import { searchHandlers } from '@/lib/search';
 import { z } from 'zod';
 import ModelRegistry from '@/lib/models/registry';
 import { ModelWithProvider } from '@/lib/models/types';
+import SearchAgent from '@/lib/agents/search';
+import SessionManager from '@/lib/session';
+import { ChatTurnMessage } from '@/lib/types';

 export const runtime = 'nodejs';
 export const dynamic = 'force-dynamic';
@@ -20,47 +16,25 @@ const messageSchema = z.object({
 });

 const chatModelSchema: z.ZodType<ModelWithProvider> = z.object({
-  providerId: z.string({
-    errorMap: () => ({
-      message: 'Chat model provider id must be provided',
-    }),
-  }),
-  key: z.string({
-    errorMap: () => ({
-      message: 'Chat model key must be provided',
-    }),
-  }),
+  providerId: z.string({ message: 'Chat model provider id must be provided' }),
+  key: z.string({ message: 'Chat model key must be provided' }),
 });

 const embeddingModelSchema: z.ZodType<ModelWithProvider> = z.object({
  providerId: z.string({
-    errorMap: () => ({
-      message: 'Embedding model provider id must be provided',
-    }),
-  }),
-  key: z.string({
-    errorMap: () => ({
-      message: 'Embedding model key must be provided',
-    }),
+    message: 'Embedding model provider id must be provided',
  }),
+  key: z.string({ message: 'Embedding model key must be provided' }),
 });

 const bodySchema = z.object({
  message: messageSchema,
  optimizationMode: z.enum(['speed', 'balanced', 'quality'], {
-    errorMap: () => ({
-      message: 'Optimization mode must be one of: speed, balanced, quality',
-    }),
+    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',
-        }),
-      }),
-    )
+    .array(z.tuple([z.string(), z.string()]))
    .optional()
    .default([]),
  files: z.array(z.string()).optional().default([]),
@@ -78,7 +52,7 @@ const safeValidateBody = (data: unknown) => {
  if (!result.success) {
    return {
      success: false,
-      error: result.error.errors.map((e) => ({
+      error: result.error.issues.map((e: any) => ({
        path: e.path.join('.'),
        message: e.message,
      })),
@@ -91,151 +65,12 @@ const safeValidateBody = (data: unknown) => {
  };
 };

-const handleEmitterEvents = async (
-  stream: EventEmitter,
-  writer: WritableStreamDefaultWriter,
-  encoder: TextEncoder,
-  chatId: string,
-) => {
-  let receivedMessage = '';
-  const aiMessageId = crypto.randomBytes(7).toString('hex');
-
-  stream.on('data', (data) => {
-    const parsedData = JSON.parse(data);
-    if (parsedData.type === 'response') {
-      writer.write(
-        encoder.encode(
-          JSON.stringify({
-            type: 'message',
-            data: parsedData.data,
-            messageId: aiMessageId,
-          }) + '\n',
-        ),
-      );
-
-      receivedMessage += parsedData.data;
-    } else if (parsedData.type === 'sources') {
-      writer.write(
-        encoder.encode(
-          JSON.stringify({
-            type: 'sources',
-            data: parsedData.data,
-            messageId: aiMessageId,
-          }) + '\n',
-        ),
-      );
-
-      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();
-    }
-  });
-  stream.on('end', () => {
-    writer.write(
-      encoder.encode(
-        JSON.stringify({
-          type: 'messageEnd',
-        }) + '\n',
-      ),
-    );
-    writer.close();
-
-    db.insert(messagesSchema)
-      .values({
-        content: receivedMessage,
-        chatId: chatId,
-        messageId: aiMessageId,
-        role: 'assistant',
-        createdAt: new Date().toString(),
-      })
-      .execute();
-  });
-  stream.on('error', (data) => {
-    const parsedData = JSON.parse(data);
-    writer.write(
-      encoder.encode(
-        JSON.stringify({
-          type: 'error',
-          data: parsedData.data,
-        }),
-      ),
-    );
-    writer.close();
-  });
-};
-
-const handleHistorySave = async (
-  message: Message,
-  humanMessageId: string,
-  focusMode: string,
-  files: string[],
-) => {
-  const chat = await db.query.chats.findFirst({
-    where: eq(chats.id, message.chatId),
-  });
-
-  const fileData = files.map(getFileDetails);
-
-  if (!chat) {
-    await db
-      .insert(chats)
-      .values({
-        id: message.chatId,
-        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));
-  }
-
-  const messageExists = await db.query.messages.findFirst({
-    where: eq(messagesSchema.messageId, humanMessageId),
-  });
-
-  if (!messageExists) {
-    await db
-      .insert(messagesSchema)
-      .values({
-        content: message.content,
-        chatId: message.chatId,
-        messageId: humanMessageId,
-        role: 'user',
-        createdAt: new Date().toString(),
-      })
-      .execute();
-  } else {
-    await db
-      .delete(messagesSchema)
-      .where(
-        and(
-          gt(messagesSchema.id, messageExists.id),
-          eq(messagesSchema.chatId, message.chatId),
-        ),
-      )
-      .execute();
-  }
-};
-
 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 },
@@ -265,48 +100,116 @@ export const POST = async (req: Request) => {
      ),
    ]);

-    const humanMessageId =
-      message.messageId ?? crypto.randomBytes(7).toString('hex');
-
-    const history: BaseMessage[] = body.history.map((msg) => {
+    const history: ChatTurnMessage[] = body.history.map((msg) => {
      if (msg[0] === 'human') {
-        return new HumanMessage({
+        return {
+          role: 'user',
          content: msg[1],
-        });
+        };
      } else {
-        return new AIMessage({
+        return {
+          role: 'assistant',
          content: msg[1],
-        });
+        };
      }
    });

-    const handler = searchHandlers[body.focusMode];
-
-    if (!handler) {
-      return Response.json(
-        {
-          message: 'Invalid focus mode',
-        },
-        { status: 400 },
-      );
-    }
-
-    const stream = await handler.searchAndAnswer(
-      message.content,
-      history,
-      llm,
-      embedding,
-      body.optimizationMode,
-      body.files,
-      body.systemInstructions as string,
-    );
+    const agent = new SearchAgent();
+    const session = SessionManager.createSession();

    const responseStream = new TransformStream();
    const writer = responseStream.writable.getWriter();
    const encoder = new TextEncoder();

-    handleEmitterEvents(stream, writer, encoder, message.chatId);
-    handleHistorySave(message, humanMessageId, body.focusMode, body.files);
+    let receivedMessage = '';
+
+    session.addListener('data', (data: any) => {
+      if (data.type === 'response') {
+        writer.write(
+          encoder.encode(
+            JSON.stringify({
+              type: 'message',
+              data: data.data,
+            }) + '\n',
+          ),
+        );
+        receivedMessage += data.data;
+      } else if (data.type === 'sources') {
+        writer.write(
+          encoder.encode(
+            JSON.stringify({
+              type: 'sources',
+              data: data.data,
+            }) + '\n',
+          ),
+        );
+      } else if (data.type === 'block') {
+        writer.write(
+          encoder.encode(
+            JSON.stringify({
+              type: 'block',
+              block: data.block,
+            }) + '\n',
+          ),
+        );
+      } else if (data.type === 'updateBlock') {
+        writer.write(
+          encoder.encode(
+            JSON.stringify({
+              type: 'updateBlock',
+              blockId: data.blockId,
+              patch: data.patch,
+            }) + '\n',
+          ),
+        );
+      } else if (data.type === 'researchComplete') {
+        writer.write(
+          encoder.encode(
+            JSON.stringify({
+              type: 'researchComplete',
+            }) + '\n',
+          ),
+        );
+      }
+    });
+
+    session.addListener('end', () => {
+      writer.write(
+        encoder.encode(
+          JSON.stringify({
+            type: 'messageEnd',
+          }) + '\n',
+        ),
+      );
+      writer.close();
+      session.removeAllListeners();
+    });
+
+    session.addListener('error', (data: any) => {
+      writer.write(
+        encoder.encode(
+          JSON.stringify({
+            type: 'error',
+            data: data.data,
+          }) + '\n',
+        ),
+      );
+      writer.close();
+      session.removeAllListeners();
+    });
+
+    agent.searchAsync(session, {
+      chatHistory: history,
+      followUp: message.content,
+      config: {
+        llm,
+        embedding: embedding,
+        sources: ['web'],
+        mode: body.optimizationMode,
+      },
+    });
+
+    /*  handleHistorySave(message, humanMessageId, body.focusMode, body.files); */

    return new Response(responseStream.readable, {
      headers: {
--- a/src/app/api/images/route.ts
+++ b/src/app/api/images/route.ts
@@ -1,7 +1,6 @@
-import handleImageSearch from '@/lib/chains/imageSearchAgent';
+import searchImages from '@/lib/agents/media/image';
 import ModelRegistry from '@/lib/models/registry';
 import { ModelWithProvider } from '@/lib/models/types';
-import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';

 interface ImageSearchBody {
  query: string;
@@ -13,16 +12,6 @@ export const POST = async (req: Request) => {
  try {
    const body: ImageSearchBody = await req.json();

-    const chatHistory = body.chatHistory
-      .map((msg: any) => {
-        if (msg.role === 'user') {
-          return new HumanMessage(msg.content);
-        } else if (msg.role === 'assistant') {
-          return new AIMessage(msg.content);
-        }
-      })
-      .filter((msg) => msg !== undefined) as BaseMessage[];
-
    const registry = new ModelRegistry();

    const llm = await registry.loadChatModel(
@@ -30,9 +19,9 @@ export const POST = async (req: Request) => {
      body.chatModel.key,
    );

-    const images = await handleImageSearch(
+    const images = await searchImages(
      {
-        chat_history: chatHistory,
+        chatHistory: body.chatHistory,
        query: body.query,
      },
      llm,
--- a/src/app/api/search/route.ts
+++ b/src/app/api/search/route.ts
@@ -1,8 +1,8 @@
-import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
-import { MetaSearchAgentType } from '@/lib/search/metaSearchAgent';
-import { searchHandlers } from '@/lib/search';
 import ModelRegistry from '@/lib/models/registry';
 import { ModelWithProvider } from '@/lib/models/types';
+import SessionManager from '@/lib/session';
+import SearchAgent from '@/lib/agents/search';
+import { ChatTurnMessage } from '@/lib/types';

 interface ChatRequestBody {
  optimizationMode: 'speed' | 'balanced';
@@ -30,12 +30,6 @@ export const POST = async (req: Request) => {
    body.optimizationMode = body.optimizationMode || 'balanced';
    body.stream = body.stream || false;

-    const history: BaseMessage[] = body.history.map((msg) => {
-      return msg[0] === 'human'
-        ? new HumanMessage({ content: msg[1] })
-        : new AIMessage({ content: msg[1] });
-    });
-
    const registry = new ModelRegistry();

    const [llm, embeddings] = await Promise.all([
@@ -46,21 +40,26 @@ export const POST = async (req: Request) => {
      ),
    ]);

-    const searchHandler: MetaSearchAgentType = searchHandlers[body.focusMode];
+    const history: ChatTurnMessage[] = body.history.map((msg) => {
+      return msg[0] === 'human'
+        ? { role: 'user', content: msg[1] }
+        : { role: 'assistant', content: msg[1] };
+    });

-    if (!searchHandler) {
-      return Response.json({ message: 'Invalid focus mode' }, { status: 400 });
-    }
+    const session = SessionManager.createSession();

-    const emitter = await searchHandler.searchAndAnswer(
-      body.query,
-      history,
-      llm,
-      embeddings,
-      body.optimizationMode,
-      [],
-      body.systemInstructions || '',
-    );
+    const agent = new SearchAgent();
+
+    agent.searchAsync(session, {
+      chatHistory: history,
+      config: {
+        embedding: embeddings,
+        llm: llm,
+        sources: ['web', 'discussions', 'academic'],
+        mode: 'balanced',
+      },
+      followUp: body.query,
+    });

    if (!body.stream) {
      return new Promise(
@@ -71,7 +70,7 @@ export const POST = async (req: Request) => {
          let message = '';
          let sources: any[] = [];

-          emitter.on('data', (data: string) => {
+          session.addListener('data', (data: string) => {
            try {
              const parsedData = JSON.parse(data);
              if (parsedData.type === 'response') {
@@ -89,11 +88,11 @@ export const POST = async (req: Request) => {
            }
          });

-          emitter.on('end', () => {
+          session.addListener('end', () => {
            resolve(Response.json({ message, sources }, { status: 200 }));
          });

-          emitter.on('error', (error: any) => {
+          session.addListener('error', (error: any) => {
            reject(
              Response.json(
                { message: 'Search error', error },
@@ -124,14 +123,14 @@ export const POST = async (req: Request) => {
        );

        signal.addEventListener('abort', () => {
-          emitter.removeAllListeners();
+          session.removeAllListeners();

          try {
            controller.close();
          } catch (error) {}
        });

-        emitter.on('data', (data: string) => {
+        session.addListener('data', (data: string) => {
          if (signal.aborted) return;

          try {
@@ -162,7 +161,7 @@ export const POST = async (req: Request) => {
          }
        });

-        emitter.on('end', () => {
+        session.addListener('end', () => {
          if (signal.aborted) return;

          controller.enqueue(
@@ -175,7 +174,7 @@ export const POST = async (req: Request) => {
          controller.close();
        });

-        emitter.on('error', (error: any) => {
+        session.addListener('error', (error: any) => {
          if (signal.aborted) return;

          controller.error(error);
--- a/src/app/api/suggestions/route.ts
+++ b/src/app/api/suggestions/route.ts
@@ -1,7 +1,6 @@
-import generateSuggestions from '@/lib/chains/suggestionGeneratorAgent';
+import generateSuggestions from '@/lib/agents/suggestions';
 import ModelRegistry from '@/lib/models/registry';
 import { ModelWithProvider } from '@/lib/models/types';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';

 interface SuggestionsGenerationBody {
@@ -13,16 +12,6 @@ export const POST = async (req: Request) => {
  try {
    const body: SuggestionsGenerationBody = await req.json();

-    const chatHistory = body.chatHistory
-      .map((msg: any) => {
-        if (msg.role === 'user') {
-          return new HumanMessage(msg.content);
-        } else if (msg.role === 'assistant') {
-          return new AIMessage(msg.content);
-        }
-      })
-      .filter((msg) => msg !== undefined) as BaseMessage[];
-
    const registry = new ModelRegistry();

    const llm = await registry.loadChatModel(
@@ -32,7 +21,7 @@ export const POST = async (req: Request) => {

    const suggestions = await generateSuggestions(
      {
-        chat_history: chatHistory,
+        chatHistory: body.chatHistory,
      },
      llm,
    );
--- a/src/app/api/uploads/route.ts
+++ b/src/app/api/uploads/route.ts
@@ -7,6 +7,7 @@ import { DocxLoader } from '@langchain/community/document_loaders/fs/docx';
 import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters';
 import { Document } from '@langchain/core/documents';
 import ModelRegistry from '@/lib/models/registry';
+import { Chunk } from '@/lib/types';

 interface FileRes {
  fileName: string;
@@ -87,9 +88,17 @@ export async function POST(req: Request) {
          }),
        );

-        const embeddings = await model.embedDocuments(
-          splitted.map((doc) => doc.pageContent),
+        const chunks: Chunk[] = splitted.map((doc) => {
+          return {
+            content: doc.pageContent,
+            metadata: doc.metadata,
+          }
+        });
+
+        const embeddings = await model.embedChunks(
+          chunks
        );
+        
        const embeddingsDataPath = filePath.replace(
          /\.\w+$/,
          '-embeddings.json',
--- a/src/app/api/videos/route.ts
+++ b/src/app/api/videos/route.ts
@@ -1,7 +1,6 @@
-import handleVideoSearch from '@/lib/chains/videoSearchAgent';
+import handleVideoSearch from '@/lib/agents/media/video';
 import ModelRegistry from '@/lib/models/registry';
 import { ModelWithProvider } from '@/lib/models/types';
-import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';

 interface VideoSearchBody {
  query: string;
@@ -13,16 +12,6 @@ export const POST = async (req: Request) => {
  try {
    const body: VideoSearchBody = await req.json();

-    const chatHistory = body.chatHistory
-      .map((msg: any) => {
-        if (msg.role === 'user') {
-          return new HumanMessage(msg.content);
-        } else if (msg.role === 'assistant') {
-          return new AIMessage(msg.content);
-        }
-      })
-      .filter((msg) => msg !== undefined) as BaseMessage[];
-
    const registry = new ModelRegistry();

    const llm = await registry.loadChatModel(
@@ -32,7 +21,7 @@ export const POST = async (req: Request) => {

    const videos = await handleVideoSearch(
      {
-        chat_history: chatHistory,
+        chatHistory: body.chatHistory,
        query: body.query,
      },
      llm,
--- a/src/components/AssistantSteps.tsx
+++ b/src/components/AssistantSteps.tsx
@@ -0,0 +1,197 @@
+'use client';
+
+import { Brain, Search, FileText, ChevronDown, ChevronUp } from 'lucide-react';
+import { motion, AnimatePresence } from 'framer-motion';
+import { useEffect, useState } from 'react';
+import { ResearchBlock, ResearchBlockSubStep } from '@/lib/types';
+import { useChat } from '@/lib/hooks/useChat';
+
+const getStepIcon = (step: ResearchBlockSubStep) => {
+  if (step.type === 'reasoning') {
+    return <Brain className="w-4 h-4" />;
+  } else if (step.type === 'searching') {
+    return <Search className="w-4 h-4" />;
+  } else if (step.type === 'reading') {
+    return <FileText className="w-4 h-4" />;
+  }
+  return null;
+};
+
+const getStepTitle = (
+  step: ResearchBlockSubStep,
+  isStreaming: boolean,
+): string => {
+  if (step.type === 'reasoning') {
+    return isStreaming && !step.reasoning ? 'Thinking...' : 'Thinking';
+  } else if (step.type === 'searching') {
+    return `Searching ${step.searching.length} ${step.searching.length === 1 ? 'query' : 'queries'}`;
+  } else if (step.type === 'reading') {
+    return `Found ${step.reading.length} ${step.reading.length === 1 ? 'result' : 'results'}`;
+  }
+  return 'Processing';
+};
+
+const AssistantSteps = ({
+  block,
+  status,
+}: {
+  block: ResearchBlock;
+  status: 'answering' | 'completed' | 'error';
+}) => {
+  const [isExpanded, setIsExpanded] = useState(true);
+  const { researchEnded, loading } = useChat();
+
+  useEffect(() => {
+    if (researchEnded) {
+      setIsExpanded(false);
+    } else if (status === 'answering') {
+      setIsExpanded(true);
+    }
+  }, [researchEnded, status]);
+
+  if (!block || block.data.subSteps.length === 0) return null;
+
+  return (
+    <div className="rounded-lg bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 overflow-hidden">
+      <button
+        onClick={() => setIsExpanded(!isExpanded)}
+        className="w-full flex items-center justify-between p-3 hover:bg-light-200 dark:hover:bg-dark-200 transition duration-200"
+      >
+        <div className="flex items-center gap-2">
+          <Brain className="w-4 h-4 text-black dark:text-white" />
+          <span className="text-sm font-medium text-black dark:text-white">
+            Research Progress ({block.data.subSteps.length}{' '}
+            {block.data.subSteps.length === 1 ? 'step' : 'steps'})
+          </span>
+        </div>
+        {isExpanded ? (
+          <ChevronUp className="w-4 h-4 text-black/70 dark:text-white/70" />
+        ) : (
+          <ChevronDown className="w-4 h-4 text-black/70 dark:text-white/70" />
+        )}
+      </button>
+
+      <AnimatePresence>
+        {isExpanded && (
+          <motion.div
+            initial={{ height: 0, opacity: 0 }}
+            animate={{ height: 'auto', opacity: 1 }}
+            exit={{ height: 0, opacity: 0 }}
+            transition={{ duration: 0.2 }}
+            className="border-t border-light-200 dark:border-dark-200"
+          >
+            <div className="p-3 space-y-2">
+              {block.data.subSteps.map((step, index) => {
+                const isLastStep = index === block.data.subSteps.length - 1;
+                const isStreaming = loading && isLastStep && !researchEnded;
+
+                return (
+                  <motion.div
+                    key={step.id}
+                    initial={{ opacity: 0, x: -10 }}
+                    animate={{ opacity: 1, x: 0 }}
+                    transition={{ duration: 0.2, delay: 0 }}
+                    className="flex gap-3"
+                  >
+                    {/* Timeline connector */}
+                    <div className="flex flex-col items-center pt-0.5">
+                      <div
+                        className={`rounded-full p-1.5 bg-light-100 dark:bg-dark-100 text-black/70 dark:text-white/70 ${isStreaming ? 'animate-pulse' : ''}`}
+                      >
+                        {getStepIcon(step)}
+                      </div>
+                      {index < block.data.subSteps.length - 1 && (
+                        <div className="w-0.5 flex-1 min-h-[20px] bg-light-200 dark:bg-dark-200 mt-1.5" />
+                      )}
+                    </div>
+
+                    {/* Step content */}
+                    <div className="flex-1 pb-1">
+                      <span className="text-sm font-medium text-black dark:text-white">
+                        {getStepTitle(step, isStreaming)}
+                      </span>
+
+                      {step.type === 'reasoning' && (
+                        <>
+                          {step.reasoning && (
+                            <p className="text-xs text-black/70 dark:text-white/70 mt-0.5">
+                              {step.reasoning}
+                            </p>
+                          )}
+                          {isStreaming && !step.reasoning && (
+                            <div className="flex items-center gap-1.5 mt-0.5">
+                              <div
+                                className="w-1.5 h-1.5 bg-black/40 dark:bg-white/40 rounded-full animate-bounce"
+                                style={{ animationDelay: '0ms' }}
+                              />
+                              <div
+                                className="w-1.5 h-1.5 bg-black/40 dark:bg-white/40 rounded-full animate-bounce"
+                                style={{ animationDelay: '150ms' }}
+                              />
+                              <div
+                                className="w-1.5 h-1.5 bg-black/40 dark:bg-white/40 rounded-full animate-bounce"
+                                style={{ animationDelay: '300ms' }}
+                              />
+                            </div>
+                          )}
+                        </>
+                      )}
+
+                      {step.type === 'searching' &&
+                        step.searching.length > 0 && (
+                          <div className="flex flex-wrap gap-1.5 mt-1.5">
+                            {step.searching.map((query, idx) => (
+                              <span
+                                key={idx}
+                                className="inline-flex items-center px-2 py-0.5 rounded-md text-xs font-medium bg-light-100 dark:bg-dark-100 text-black/70 dark:text-white/70 border border-light-200 dark:border-dark-200"
+                              >
+                                {query}
+                              </span>
+                            ))}
+                          </div>
+                        )}
+
+                      {step.type === 'reading' && step.reading.length > 0 && (
+                        <div className="flex flex-wrap gap-1.5 mt-1.5">
+                          {step.reading.slice(0, 4).map((result, idx) => {
+                            const url = result.metadata.url || '';
+                            const title = result.metadata.title || 'Untitled';
+                            const domain = url ? new URL(url).hostname : '';
+                            const faviconUrl = domain
+                              ? `https://s2.googleusercontent.com/s2/favicons?domain=${domain}&sz=128`
+                              : '';
+
+                            return (
+                              <span
+                                key={idx}
+                                className="inline-flex items-center gap-1.5 px-2 py-0.5 rounded-md text-xs font-medium bg-light-100 dark:bg-dark-100 text-black/70 dark:text-white/70 border border-light-200 dark:border-dark-200"
+                              >
+                                {faviconUrl && (
+                                  <img
+                                    src={faviconUrl}
+                                    alt=""
+                                    className="w-3 h-3 rounded-sm flex-shrink-0"
+                                    onError={(e) => {
+                                      e.currentTarget.style.display = 'none';
+                                    }}
+                                  />
+                                )}
+                                <span className="line-clamp-1">{title}</span>
+                              </span>
+                            );
+                          })}
+                        </div>
+                      )}
+                    </div>
+                  </motion.div>
+                );
+              })}
+            </div>
+          </motion.div>
+        )}
+      </AnimatePresence>
+    </div>
+  );
+};
+
+export default AssistantSteps;
--- a/src/components/Chat.tsx
+++ b/src/components/Chat.tsx
@@ -7,11 +7,12 @@ import MessageBoxLoading from './MessageBoxLoading';
 import { useChat } from '@/lib/hooks/useChat';

 const Chat = () => {
-  const { sections, chatTurns, loading, messageAppeared } = useChat();
+  const { sections, loading, messageAppeared, messages } = useChat();

  const [dividerWidth, setDividerWidth] = useState(0);
  const dividerRef = useRef<HTMLDivElement | null>(null);
  const messageEnd = useRef<HTMLDivElement | null>(null);
+  const lastScrolledRef = useRef<number>(0);

  useEffect(() => {
    const updateDividerWidth = () => {
@@ -22,35 +23,40 @@ const Chat = () => {

    updateDividerWidth();

+    const resizeObserver = new ResizeObserver(() => {
+      updateDividerWidth();
+    });
+
+    const currentRef = dividerRef.current;
+    if (currentRef) {
+      resizeObserver.observe(currentRef);
+    }
+
    window.addEventListener('resize', updateDividerWidth);

    return () => {
+      if (currentRef) {
+        resizeObserver.unobserve(currentRef);
+      }
+      resizeObserver.disconnect();
      window.removeEventListener('resize', updateDividerWidth);
    };
-  }, []);
+  }, [sections.length]);

  useEffect(() => {
    const scroll = () => {
      messageEnd.current?.scrollIntoView({ behavior: 'auto' });
    };

-    if (chatTurns.length === 1) {
-      document.title = `${chatTurns[0].content.substring(0, 30)} - Perplexica`;
+    if (messages.length === 1) {
+      document.title = `${messages[0].query.substring(0, 30)} - Perplexica`;
    }

-    const messageEndBottom =
-      messageEnd.current?.getBoundingClientRect().bottom ?? 0;
-
-    const distanceFromMessageEnd = window.innerHeight - messageEndBottom;
-
-    if (distanceFromMessageEnd >= -100) {
+    if (sections.length > lastScrolledRef.current) {
      scroll();
+      lastScrolledRef.current = sections.length;
    }
-
-    if (chatTurns[chatTurns.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">
@@ -58,7 +64,7 @@ const Chat = () => {
        const isLast = i === sections.length - 1;

        return (
-          <Fragment key={section.userMessage.messageId}>
+          <Fragment key={section.message.messageId}>
            <MessageBox
              section={section}
              sectionIndex={i}
--- a/src/components/ChatWindow.tsx
+++ b/src/components/ChatWindow.tsx
@@ -1,15 +1,12 @@
 'use client';

-import { Document } from '@langchain/core/documents';
 import Navbar from './Navbar';
 import Chat from './Chat';
 import EmptyChat from './EmptyChat';
-import { Settings } from 'lucide-react';
-import Link from 'next/link';
 import NextError from 'next/error';
 import { useChat } from '@/lib/hooks/useChat';
-import Loader from './ui/Loader';
 import SettingsButtonMobile from './Settings/SettingsButtonMobile';
+import { Block, Chunk } from '@/lib/types';

 export interface BaseMessage {
  chatId: string;
@@ -17,20 +14,27 @@ export interface BaseMessage {
  createdAt: Date;
 }

+export interface Message extends BaseMessage {
+  backendId: string;
+  query: string;
+  responseBlocks: Block[];
+  status: 'answering' | 'completed' | 'error';
+}
+
+export interface UserMessage extends BaseMessage {
+  role: 'user';
+  content: string;
+}
+
 export interface AssistantMessage extends BaseMessage {
  role: 'assistant';
  content: string;
  suggestions?: string[];
 }

-export interface UserMessage extends BaseMessage {
-  role: 'user';
-  content: string;
-}
-
 export interface SourceMessage extends BaseMessage {
  role: 'source';
-  sources: Document[];
+  sources: Chunk[];
 }

 export interface SuggestionMessage extends BaseMessage {
@@ -38,11 +42,12 @@ export interface SuggestionMessage extends BaseMessage {
  suggestions: string[];
 }

-export type Message =
+export type LegacyMessage =
  | AssistantMessage
  | UserMessage
  | SourceMessage
  | SuggestionMessage;
+
 export type ChatTurn = UserMessage | AssistantMessage;

 export interface File {
@@ -51,8 +56,13 @@ export interface File {
  fileId: string;
 }

+export interface Widget {
+  widgetType: string;
+  params: Record<string, any>;
+}
+
 const ChatWindow = () => {
-  const { hasError, isReady, notFound, messages } = useChat();
+  const { hasError, notFound, messages } = useChat();
  if (hasError) {
    return (
      <div className="relative">
@@ -68,24 +78,18 @@ const ChatWindow = () => {
    );
  }

-  return isReady ? (
-    notFound ? (
-      <NextError statusCode={404} />
-    ) : (
-      <div>
-        {messages.length > 0 ? (
-          <>
-            <Navbar />
-            <Chat />
-          </>
-        ) : (
-          <EmptyChat />
-        )}
-      </div>
-    )
+  return notFound ? (
+    <NextError statusCode={404} />
  ) : (
-    <div className="flex flex-row items-center justify-center min-h-screen">
-      <Loader />
+    <div>
+      {messages.length > 0 ? (
+        <>
+          <Navbar />
+          <Chat />
+        </>
+      ) : (
+        <EmptyChat />
+      )}
    </div>
  );
 };
--- a/src/components/MessageActions/Copy.tsx
+++ b/src/components/MessageActions/Copy.tsx
@@ -15,14 +15,21 @@ 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}${
+          section?.message.responseBlocks.filter((b) => b.type === 'source')
+            ?.length > 0 &&
+          `\n\nCitations:\n${section.message.responseBlocks
+            .filter((b) => b.type === 'source')
+            ?.map((source: any, i: any) => `[${i + 1}] ${source.metadata.url}`)
+            .join(`\n`)}`
+        }`;
        navigator.clipboard.writeText(contentToCopy);
        setCopied(true);
        setTimeout(() => setCopied(false), 1000);
      }}
-      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 dark:hover:text-white"
+      className="p-2 text-black/70 dark:text-white/70 rounded-full hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black dark:hover:text-white"
    >
-      {copied ? <Check size={18} /> : <ClipboardList size={18} />}
+      {copied ? <Check size={16} /> : <ClipboardList size={16} />}
    </button>
  );
 };
--- a/src/components/MessageActions/Rewrite.tsx
+++ b/src/components/MessageActions/Rewrite.tsx
@@ -1,4 +1,4 @@
-import { ArrowLeftRight } from 'lucide-react';
+import { ArrowLeftRight, Repeat } from 'lucide-react';

 const Rewrite = ({
  rewrite,
@@ -10,12 +10,11 @@ const Rewrite = ({
  return (
    <button
      onClick={() => rewrite(messageId)}
-      className="py-2 px-3 text-black/70 dark:text-white/70 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black dark:hover:text-white flex flex-row items-center space-x-1"
+      className="p-2 text-black/70 dark:text-white/70 rounded-full hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black dark:hover:text-white flex flex-row items-center space-x-1"
    >
-      <ArrowLeftRight size={18} />
-      <p className="text-xs font-medium">Rewrite</p>
+      <Repeat size={16} />
    </button>
  );
 };
-
+1;
 export default Rewrite;
--- a/src/components/MessageBox.tsx
+++ b/src/components/MessageBox.tsx
@@ -10,6 +10,7 @@ import {
  StopCircle,
  Layers3,
  Plus,
+  CornerDownRight,
 } from 'lucide-react';
 import Markdown, { MarkdownToJSX } from 'markdown-to-jsx';
 import Copy from './MessageActions/Copy';
@@ -21,6 +22,9 @@ import { useSpeech } from 'react-text-to-speech';
 import ThinkBox from './ThinkBox';
 import { useChat, Section } from '@/lib/hooks/useChat';
 import Citation from './Citation';
+import AssistantSteps from './AssistantSteps';
+import { ResearchBlock } from '@/lib/types';
+import Renderer from './Widgets/Renderer';

 const ThinkTagProcessor = ({
  children,
@@ -45,12 +49,21 @@ const MessageBox = ({
  dividerRef?: MutableRefObject<HTMLDivElement | null>;
  isLast: boolean;
 }) => {
-  const { loading, chatTurns, sendMessage, rewrite } = useChat();
+  const { loading, sendMessage, rewrite, messages, researchEnded } = useChat();

-  const parsedMessage = section.parsedAssistantMessage || '';
+  const parsedMessage = section.parsedTextBlocks.join('\n\n');
  const speechMessage = section.speechMessage || '';
  const thinkingEnded = section.thinkingEnded;

+  const sourceBlocks = section.message.responseBlocks.filter(
+    (block): block is typeof block & { type: 'source' } =>
+      block.type === 'source',
+  );
+
+  const sources = sourceBlocks.flatMap((block) => block.data);
+
+  const hasContent = section.parsedTextBlocks.length > 0;
+
  const { speechStatus, start, stop } = useSpeech({ text: speechMessage });

  const markdownOverrides: MarkdownToJSX.Options = {
@@ -71,7 +84,7 @@ const MessageBox = ({
    <div className="space-y-6">
      <div className={'w-full pt-8 break-words'}>
        <h2 className="text-black dark:text-white font-medium text-3xl lg:w-9/12">
-          {section.userMessage.content}
+          {section.message.query}
        </h2>
      </div>

@@ -80,21 +93,50 @@ const MessageBox = ({
          ref={dividerRef}
          className="flex flex-col space-y-6 w-full lg:w-9/12"
        >
-          {section.sourceMessage &&
-            section.sourceMessage.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} />
-                  <h3 className="text-black dark:text-white font-medium text-xl">
-                    Sources
-                  </h3>
-                </div>
-                <MessageSources sources={section.sourceMessage.sources} />
+          {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} />
+                <h3 className="text-black dark:text-white font-medium text-xl">
+                  Sources
+                </h3>
+              </div>
+              <MessageSources sources={sources} />
+            </div>
+          )}
+
+          {section.message.responseBlocks
+            .filter(
+              (block): block is ResearchBlock =>
+                block.type === 'research' && block.data.subSteps.length > 0,
+            )
+            .map((researchBlock) => (
+              <div key={researchBlock.id} className="flex flex-col space-y-2">
+                <AssistantSteps
+                  block={researchBlock}
+                  status={section.message.status}
+                />
+              </div>
+            ))}
+
+          {section.widgets.length > 0 && <Renderer widgets={section.widgets} />}
+
+          {isLast &&
+            loading &&
+            !researchEnded &&
+            !section.message.responseBlocks.some(
+              (b) => b.type === 'research' && b.data.subSteps.length > 0,
+            ) && (
+              <div className="flex items-center gap-2 p-3 rounded-lg bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200">
+                <Disc3 className="w-4 h-4 text-black dark:text-white animate-spin" />
+                <span className="text-sm text-black/70 dark:text-white/70">
+                  Brainstorming...
+                </span>
              </div>
            )}

          <div className="flex flex-col space-y-2">
-            {section.sourceMessage && (
+            {sources.length > 0 && (
              <div className="flex flex-row items-center space-x-2">
                <Disc3
                  className={cn(
@@ -109,7 +151,7 @@ const MessageBox = ({
              </div>
            )}

-            {section.assistantMessage && (
+            {hasContent && (
              <>
                <Markdown
                  className={cn(
@@ -122,18 +164,15 @@ const MessageBox = ({
                </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">
+                  <div className="flex flex-row items-center justify-between w-full text-black dark:text-white py-4">
+                    <div className="flex flex-row items-center -ml-2">
                      <Rewrite
                        rewrite={rewrite}
-                        messageId={section.assistantMessage.messageId}
+                        messageId={section.message.messageId}
                      />
                    </div>
-                    <div className="flex flex-row items-center space-x-1">
-                      <Copy
-                        initialMessage={section.assistantMessage.content}
-                        section={section}
-                      />
+                    <div className="flex flex-row items-center -mr-2">
+                      <Copy initialMessage={parsedMessage} section={section} />
                      <button
                        onClick={() => {
                          if (speechStatus === 'started') {
@@ -142,12 +181,12 @@ const MessageBox = ({
                            start();
                          }
                        }}
-                        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 dark:hover:text-white"
+                        className="p-2 text-black/70 dark:text-white/70 rounded-full hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black dark:hover:text-white"
                      >
                        {speechStatus === 'started' ? (
-                          <StopCircle size={18} />
+                          <StopCircle size={16} />
                        ) : (
-                          <Volume2 size={18} />
+                          <Volume2 size={16} />
                        )}
                      </button>
                    </div>
@@ -157,9 +196,9 @@ const MessageBox = ({
                {isLast &&
                  section.suggestions &&
                  section.suggestions.length > 0 &&
-                  section.assistantMessage &&
+                  hasContent &&
                  !loading && (
-                    <div className="mt-8 pt-6 border-t border-light-200/50 dark:border-dark-200/50">
+                    <div className="mt-6">
                      <div className="flex flex-row items-center space-x-2 mb-4">
                        <Layers3
                          className="text-black dark:text-white"
@@ -173,20 +212,24 @@ const MessageBox = ({
                        {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" />
-                              )}
+                              <div className="h-px bg-light-200/40 dark:bg-dark-200/40" />
                              <button
                                onClick={() => sendMessage(suggestion)}
-                                className="group w-full px-3 py-4 text-left transition-colors duration-200"
+                                className="group w-full py-4 text-left transition-colors duration-200"
                              >
                                <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">
-                                    {suggestion}
-                                  </p>
+                                  <div className="flex flex-row space-x-3 items-center ">
+                                    <CornerDownRight
+                                      size={17}
+                                      className="group-hover:text-sky-400 transition-colors duration-200"
+                                    />
+                                    <p className="text-sm text-black/70 dark:text-white/70 group-hover:text-sky-400 transition-colors duration-200 leading-relaxed">
+                                      {suggestion}
+                                    </p>
+                                  </div>
                                  <Plus
                                    size={16}
-                                    className="text-black/40 dark:text-white/40 group-hover:text-[#24A0ED] transition-colors duration-200 flex-shrink-0"
+                                    className="text-black/40 dark:text-white/40 group-hover:text-sky-400 transition-colors duration-200 flex-shrink-0"
                                  />
                                </div>
                              </button>
@@ -201,17 +244,17 @@ const MessageBox = ({
          </div>
        </div>

-        {section.assistantMessage && (
+        {hasContent && (
          <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={section.message.query}
+              chatHistory={messages}
+              messageId={section.message.messageId}
            />
            <SearchVideos
-              chatHistory={chatTurns.slice(0, sectionIndex * 2)}
-              query={section.userMessage.content}
-              messageId={section.assistantMessage.messageId}
+              chatHistory={messages}
+              query={section.message.query}
+              messageId={section.message.messageId}
            />
          </div>
        )}
--- a/src/components/MessageInputActions/Optimization.tsx
+++ b/src/components/MessageInputActions/Optimization.tsx
@@ -24,7 +24,7 @@ const OptimizationModes = [
  },
  {
    key: 'quality',
-    title: 'Quality (Soon)',
+    title: 'Quality',
    description: 'Get the most thorough and accurate answer',
    icon: (
      <Star
@@ -75,13 +75,11 @@ const Optimization = () => {
                  <PopoverButton
                    onClick={() => setOptimizationMode(mode.key)}
                    key={i}
-                    disabled={mode.key === 'quality'}
                    className={cn(
                      'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-1 duration-200 cursor-pointer transition focus:outline-none',
                      optimizationMode === mode.key
                        ? 'bg-light-secondary dark:bg-dark-secondary'
                        : 'hover:bg-light-secondary dark:hover:bg-dark-secondary',
-                      mode.key === 'quality' && 'opacity-50 cursor-not-allowed',
                    )}
                  >
                    <div className="flex flex-row items-center space-x-1 text-black dark:text-white">
--- a/src/components/MessageSources.tsx
+++ b/src/components/MessageSources.tsx
@@ -6,11 +6,11 @@ import {
  Transition,
  TransitionChild,
 } from '@headlessui/react';
-import { Document } from '@langchain/core/documents';
 import { File } from 'lucide-react';
 import { Fragment, useState } from 'react';
+import { Chunk } from '@/lib/types';

-const MessageSources = ({ sources }: { sources: Document[] }) => {
+const MessageSources = ({ sources }: { sources: Chunk[] }) => {
  const [isDialogOpen, setIsDialogOpen] = useState(false);

  const closeModal = () => {
--- a/src/components/Navbar.tsx
+++ b/src/components/Navbar.tsx
@@ -11,6 +11,7 @@ import {
 } from '@headlessui/react';
 import jsPDF from 'jspdf';
 import { useChat, Section } from '@/lib/hooks/useChat';
+import { SourceBlock } from '@/lib/types';

 const downloadFile = (filename: string, content: string, type: string) => {
  const blob = new Blob([content], { type });
@@ -28,35 +29,41 @@ const downloadFile = (filename: string, content: string, type: string) => {

 const exportAsMarkdown = (sections: Section[], title: string) => {
  const date = new Date(
-    sections[0]?.userMessage?.createdAt || Date.now(),
+    sections[0].message.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) {
-      md += `\n---\n`;
-      md += `**🧑 User**  
+    md += `\n---\n`;
+    md += `**🧑 User**  
 `;
-      md += `*${new Date(section.userMessage.createdAt).toLocaleString()}*\n\n`;
-      md += `> ${section.userMessage.content.replace(/\n/g, '\n> ')}\n`;
-    }
+    md += `*${new Date(section.message.createdAt).toLocaleString()}*\n\n`;
+    md += `> ${section.message.query.replace(/\n/g, '\n> ')}\n`;

-    if (section.assistantMessage) {
+    if (section.message.responseBlocks.length > 0) {
      md += `\n---\n`;
      md += `**🤖 Assistant**  
 `;
-      md += `*${new Date(section.assistantMessage.createdAt).toLocaleString()}*\n\n`;
-      md += `> ${section.assistantMessage.content.replace(/\n/g, '\n> ')}\n`;
+      md += `*${new Date(section.message.createdAt).toLocaleString()}*\n\n`;
+      md += `> ${section.message.responseBlocks
+        .filter((b) => b.type === 'text')
+        .map((block) => block.data)
+        .join('\n')
+        .replace(/\n/g, '\n> ')}\n`;
    }

+    const sourceResponseBlock = section.message.responseBlocks.find(
+      (block) => block.type === 'source',
+    ) as SourceBlock | undefined;
+
    if (
-      section.sourceMessage &&
-      section.sourceMessage.sources &&
-      section.sourceMessage.sources.length > 0
+      sourceResponseBlock &&
+      sourceResponseBlock.data &&
+      sourceResponseBlock.data.length > 0
    ) {
      md += `\n**Citations:**\n`;
-      section.sourceMessage.sources.forEach((src: any, i: number) => {
+      sourceResponseBlock.data.forEach((src: any, i: number) => {
        const url = src.metadata?.url || '';
        md += `- [${i + 1}] [${url}](${url})\n`;
      });
@@ -69,7 +76,7 @@ const exportAsMarkdown = (sections: Section[], title: string) => {
 const exportAsPDF = (sections: Section[], title: string) => {
  const doc = new jsPDF();
  const date = new Date(
-    sections[0]?.userMessage?.createdAt || Date.now(),
+    sections[0]?.message?.createdAt || Date.now(),
  ).toLocaleString();
  let y = 15;
  const pageHeight = doc.internal.pageSize.height;
@@ -86,44 +93,38 @@ const exportAsPDF = (sections: Section[], title: string) => {
  doc.setTextColor(30);

  sections.forEach((section, idx) => {
-    if (section.userMessage) {
-      if (y > pageHeight - 30) {
-        doc.addPage();
-        y = 15;
-      }
-      doc.setFont('helvetica', 'bold');
-      doc.text('User', 10, y);
-      doc.setFont('helvetica', 'normal');
-      doc.setFontSize(10);
-      doc.setTextColor(120);
-      doc.text(
-        `${new Date(section.userMessage.createdAt).toLocaleString()}`,
-        40,
-        y,
-      );
-      y += 6;
-      doc.setTextColor(30);
-      doc.setFontSize(12);
-      const userLines = doc.splitTextToSize(section.userMessage.content, 180);
-      for (let i = 0; i < userLines.length; i++) {
-        if (y > pageHeight - 20) {
-          doc.addPage();
-          y = 15;
-        }
-        doc.text(userLines[i], 12, y);
-        y += 6;
-      }
-      y += 6;
-      doc.setDrawColor(230);
-      if (y > pageHeight - 10) {
-        doc.addPage();
-        y = 15;
-      }
-      doc.line(10, y, 200, y);
-      y += 4;
+    if (y > pageHeight - 30) {
+      doc.addPage();
+      y = 15;
    }
+    doc.setFont('helvetica', 'bold');
+    doc.text('User', 10, y);
+    doc.setFont('helvetica', 'normal');
+    doc.setFontSize(10);
+    doc.setTextColor(120);
+    doc.text(`${new Date(section.message.createdAt).toLocaleString()}`, 40, y);
+    y += 6;
+    doc.setTextColor(30);
+    doc.setFontSize(12);
+    const userLines = doc.splitTextToSize(section.message.query, 180);
+    for (let i = 0; i < userLines.length; i++) {
+      if (y > pageHeight - 20) {
+        doc.addPage();
+        y = 15;
+      }
+      doc.text(userLines[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 (section.message.responseBlocks.length > 0) {
      if (y > pageHeight - 30) {
        doc.addPage();
        y = 15;
@@ -134,7 +135,7 @@ const exportAsPDF = (sections: Section[], title: string) => {
      doc.setFontSize(10);
      doc.setTextColor(120);
      doc.text(
-        `${new Date(section.assistantMessage.createdAt).toLocaleString()}`,
+        `${new Date(section.message.createdAt).toLocaleString()}`,
        40,
        y,
      );
@@ -142,7 +143,7 @@ const exportAsPDF = (sections: Section[], title: string) => {
      doc.setTextColor(30);
      doc.setFontSize(12);
      const assistantLines = doc.splitTextToSize(
-        section.assistantMessage.content,
+        section.parsedTextBlocks.join('\n'),
        180,
      );
      for (let i = 0; i < assistantLines.length; i++) {
@@ -154,10 +155,14 @@ const exportAsPDF = (sections: Section[], title: string) => {
        y += 6;
      }

+      const sourceResponseBlock = section.message.responseBlocks.find(
+        (block) => block.type === 'source',
+      ) as SourceBlock | undefined;
+
      if (
-        section.sourceMessage &&
-        section.sourceMessage.sources &&
-        section.sourceMessage.sources.length > 0
+        sourceResponseBlock &&
+        sourceResponseBlock.data &&
+        sourceResponseBlock.data.length > 0
      ) {
        doc.setFontSize(11);
        doc.setTextColor(80);
@@ -167,7 +172,7 @@ const exportAsPDF = (sections: Section[], title: string) => {
        }
        doc.text('Citations:', 12, y);
        y += 5;
-        section.sourceMessage.sources.forEach((src: any, i: number) => {
+        sourceResponseBlock.data.forEach((src: any, i: number) => {
          const url = src.metadata?.url || '';
          if (y > pageHeight - 15) {
            doc.addPage();
@@ -198,15 +203,15 @@ const Navbar = () => {
  const { sections, chatId } = useChat();

  useEffect(() => {
-    if (sections.length > 0 && sections[0].userMessage) {
+    if (sections.length > 0 && sections[0].message) {
      const newTitle =
-        sections[0].userMessage.content.length > 20
-          ? `${sections[0].userMessage.content.substring(0, 20).trim()}...`
-          : sections[0].userMessage.content;
+        sections[0].message.query.substring(0, 30) + '...' ||
+        'New Conversation';
+
      setTitle(newTitle);
      const newTimeAgo = formatTimeDifference(
        new Date(),
-        sections[0].userMessage.createdAt,
+        sections[0].message.createdAt,
      );
      setTimeAgo(newTimeAgo);
    }
@@ -214,10 +219,10 @@ const Navbar = () => {

  useEffect(() => {
    const intervalId = setInterval(() => {
-      if (sections.length > 0 && sections[0].userMessage) {
+      if (sections.length > 0 && sections[0].message) {
        const newTimeAgo = formatTimeDifference(
          new Date(),
-          sections[0].userMessage.createdAt,
+          sections[0].message.createdAt,
        );
        setTimeAgo(newTimeAgo);
      }
--- a/src/components/Settings/Sections/Models/AddModelDialog.tsx
+++ b/src/components/Settings/Sections/Models/AddModelDialog.tsx
@@ -97,7 +97,7 @@ const AddModel = ({
            >
              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
                <div className="px-6 pt-6 pb-4">
-                  <h3 className="text-black/90 dark:text-white/90 font-medium">
+                  <h3 className="text-black/90 dark:text-white/90 font-medium text-sm">
                    Add new {type === 'chat' ? 'chat' : 'embedding'} model
                  </h3>
                </div>
@@ -115,7 +115,7 @@ const AddModel = ({
                        <input
                          value={modelName}
                          onChange={(e) => setModelName(e.target.value)}
-                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
+                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
                          placeholder="e.g., GPT-4"
                          type="text"
                          required
@@ -128,7 +128,7 @@ const AddModel = ({
                        <input
                          value={modelKey}
                          onChange={(e) => setModelKey(e.target.value)}
-                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
+                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
                          placeholder="e.g., gpt-4"
                          type="text"
                          required
@@ -140,7 +140,7 @@ const AddModel = ({
                      <button
                        type="submit"
                        disabled={loading}
-                        className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
+                        className="px-4 py-2 rounded-lg text-[13px] bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
                      >
                        {loading ? (
                          <Loader2 className="animate-spin" size={16} />
--- a/src/components/Settings/Sections/Models/AddProviderDialog.tsx
+++ b/src/components/Settings/Sections/Models/AddProviderDialog.tsx
@@ -82,10 +82,10 @@ const AddProvider = ({

      setProviders((prev) => [...prev, data]);

-      toast.success('Provider added successfully.');
+      toast.success('Connection added successfully.');
    } catch (error) {
      console.error('Error adding provider:', error);
-      toast.error('Failed to add provider.');
+      toast.error('Failed to add connection.');
    } finally {
      setLoading(false);
      setOpen(false);
@@ -96,10 +96,10 @@ const AddProvider = ({
    <>
      <button
        onClick={() => setOpen(true)}
-        className="px-3 md:px-4 py-1.5 md:py-2 rounded-lg text-xs sm:text-sm border border-light-200 dark:border-dark-200 text-black dark:text-white bg-light-secondary/50 dark:bg-dark-secondary/50 hover:bg-light-secondary hover:dark:bg-dark-secondary hover:border-light-300 hover:dark:border-dark-300 flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
+        className="px-3 md:px-4 py-1.5 md:py-2 rounded-lg text-xs sm:text-xs border border-light-200 dark:border-dark-200 text-black dark:text-white bg-light-secondary/50 dark:bg-dark-secondary/50 hover:bg-light-secondary hover:dark:bg-dark-secondary hover:border-light-300 hover:dark:border-dark-300 flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
      >
        <Plus className="w-3.5 h-3.5 md:w-4 md:h-4" />
-        <span>Add Provider</span>
+        <span>Add Connection</span>
      </button>
      <AnimatePresence>
        {open && (
@@ -119,8 +119,8 @@ const AddProvider = ({
              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
                <form onSubmit={handleSubmit} className="flex flex-col flex-1">
                  <div className="px-6 pt-6 pb-4">
-                    <h3 className="text-black/90 dark:text-white/90 font-medium">
-                      Add new provider
+                    <h3 className="text-black/90 dark:text-white/90 font-medium text-sm">
+                      Add new connection
                    </h3>
                  </div>
                  <div className="border-t border-light-200 dark:border-dark-200" />
@@ -128,7 +128,7 @@ const AddProvider = ({
                    <div className="flex flex-col space-y-4">
                      <div className="flex flex-col items-start space-y-2">
                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Select provider type
+                          Select connection type
                        </label>
                        <Select
                          value={selectedProvider ?? ''}
@@ -149,13 +149,13 @@ const AddProvider = ({
                        className="flex flex-col items-start space-y-2"
                      >
                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Name*
+                          Connection Name*
                        </label>
                        <input
                          value={name}
                          onChange={(e) => setName(e.target.value)}
                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                          placeholder={'Provider Name'}
+                          placeholder={'e.g., My OpenAI Connection'}
                          type="text"
                          required={true}
                        />
@@ -178,7 +178,7 @@ const AddProvider = ({
                                [field.key]: event.target.value,
                              }))
                            }
-                            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
+                            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
                            placeholder={
                              (field as StringUIConfigField).placeholder
                            }
@@ -194,12 +194,12 @@ const AddProvider = ({
                    <button
                      type="submit"
                      disabled={loading}
-                      className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
+                      className="px-4 py-2 rounded-lg text-[13px] bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
                    >
                      {loading ? (
                        <Loader2 className="animate-spin" size={16} />
                      ) : (
-                        'Add Provider'
+                        'Add Connection'
                      )}
                    </button>
                  </div>
--- a/src/components/Settings/Sections/Models/DeleteProviderDialog.tsx
+++ b/src/components/Settings/Sections/Models/DeleteProviderDialog.tsx
@@ -34,10 +34,10 @@ const DeleteProvider = ({
        return prev.filter((p) => p.id !== modelProvider.id);
      });

-      toast.success('Provider deleted successfully.');
+      toast.success('Connection deleted successfully.');
    } catch (error) {
      console.error('Error deleting provider:', error);
-      toast.error('Failed to delete provider.');
+      toast.error('Failed to delete connection.');
    } finally {
      setLoading(false);
    }
@@ -51,7 +51,7 @@ const DeleteProvider = ({
          setOpen(true);
        }}
        className="group p-1.5 rounded-md hover:bg-light-200 hover:dark:bg-dark-200 transition-colors group"
-        title="Delete provider"
+        title="Delete connection"
      >
        <Trash2
          size={14}
@@ -76,14 +76,15 @@ const DeleteProvider = ({
              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
                <div className="px-6 pt-6 pb-4">
                  <h3 className="text-black/90 dark:text-white/90 font-medium">
-                    Delete provider
+                    Delete connection
                  </h3>
                </div>
                <div className="border-t border-light-200 dark:border-dark-200" />
                <div className="flex-1 overflow-y-auto px-6 py-4">
-                  <p className="text-SM text-black/60 dark:text-white/60">
-                    Are you sure you want to delete the provider &quot;
+                  <p className="text-sm text-black/60 dark:text-white/60">
+                    Are you sure you want to delete the connection &quot;
                    {modelProvider.name}&quot;? This action cannot be undone.
+                    All associated models will also be removed.
                  </p>
                </div>
                <div className="px-6 py-6 flex justify-end space-x-2">
--- a/src/components/Settings/Sections/Models/ModelProvider.tsx
+++ b/src/components/Settings/Sections/Models/ModelProvider.tsx
@@ -1,7 +1,7 @@
 import { UIConfigField, ConfigModelProvider } from '@/lib/config/types';
 import { cn } from '@/lib/utils';
 import { AnimatePresence, motion } from 'framer-motion';
-import { AlertCircle, ChevronDown, Pencil, Trash2, X } from 'lucide-react';
+import { AlertCircle, Plug2, Plus, Pencil, Trash2, X } from 'lucide-react';
 import { useState } from 'react';
 import { toast } from 'sonner';
 import AddModel from './AddModelDialog';
@@ -17,7 +17,7 @@ const ModelProvider = ({
  fields: UIConfigField[];
  setProviders: React.Dispatch<React.SetStateAction<ConfigModelProvider[]>>;
 }) => {
-  const [open, setOpen] = useState(false);
+  const [open, setOpen] = useState(true);

  const handleModelDelete = async (
    type: 'chat' | 'embedding',
@@ -66,146 +66,157 @@ const ModelProvider = ({
    }
  };

+  const modelCount =
+    modelProvider.chatModels.filter((m) => m.key !== 'error').length +
+    modelProvider.embeddingModels.filter((m) => m.key !== 'error').length;
+  const hasError =
+    modelProvider.chatModels.some((m) => m.key === 'error') ||
+    modelProvider.embeddingModels.some((m) => m.key === 'error');
+
  return (
    <div
      key={modelProvider.id}
-      className="border border-light-200 dark:border-dark-200 rounded-lg overflow-hidden"
+      className="border border-light-200 dark:border-dark-200 rounded-lg overflow-hidden bg-light-primary dark:bg-dark-primary"
    >
-      <div
-        className={cn(
-          'group px-5 py-4 flex flex-row justify-between w-full cursor-pointer hover:bg-light-secondary hover:dark:bg-dark-secondary transition duration-200 items-center',
-          !open && 'rounded-lg',
-        )}
-        onClick={() => setOpen(!open)}
-      >
-        <p className="text-sm lg:text-base text-black dark:text-white font-medium">
-          {modelProvider.name}
-        </p>
-        <div className="flex items-center gap-4">
-          <div className="flex flex-row items-center">
-            <UpdateProvider
-              fields={fields}
-              modelProvider={modelProvider}
-              setProviders={setProviders}
-            />
-            <DeleteProvider
-              modelProvider={modelProvider}
-              setProviders={setProviders}
-            />
+      <div className="px-5 py-3.5 flex flex-row justify-between w-full items-center border-b border-light-200 dark:border-dark-200 bg-light-secondary/30 dark:bg-dark-secondary/30">
+        <div className="flex items-center gap-2.5">
+          <div className="p-1.5 rounded-md bg-sky-500/10 dark:bg-sky-500/10">
+            <Plug2 size={14} className="text-sky-500" />
          </div>
-          <ChevronDown
-            size={16}
-            className={cn(
-              open ? 'rotate-180' : '',
-              'transition duration-200 text-black/70 dark:text-white/70 group-hover:text-sky-500',
+          <div className="flex flex-col">
+            <p className="text-sm lg:text-sm text-black dark:text-white font-medium">
+              {modelProvider.name}
+            </p>
+            {modelCount > 0 && (
+              <p className="text-[10px] lg:text-[11px] text-black/50 dark:text-white/50">
+                {modelCount} model{modelCount !== 1 ? 's' : ''} configured
+              </p>
            )}
+          </div>
+        </div>
+        <div className="flex flex-row items-center gap-1">
+          <UpdateProvider
+            fields={fields}
+            modelProvider={modelProvider}
+            setProviders={setProviders}
+          />
+          <DeleteProvider
+            modelProvider={modelProvider}
+            setProviders={setProviders}
          />
        </div>
      </div>
-      <AnimatePresence>
-        {open && (
-          <motion.div
-            initial={{ height: 0, opacity: 0 }}
-            animate={{ height: 'auto', opacity: 1 }}
-            exit={{ height: 0, opacity: 0 }}
-            transition={{ duration: 0.1 }}
-          >
-            <div className="border-t border-light-200 dark:border-dark-200" />
-            <div className="flex flex-col gap-y-4 px-5 py-4">
-              <div className="flex flex-col gap-y-2">
-                <div className="flex flex-row w-full justify-between items-center">
-                  <p className="text-[11px] lg:text-xs text-black/70 dark:text-white/70">
-                    Chat models
-                  </p>
-                  <AddModel
-                    providerId={modelProvider.id}
-                    setProviders={setProviders}
-                    type="chat"
-                  />
-                </div>
-                <div className="flex flex-col gap-2">
-                  {modelProvider.chatModels.some((m) => m.key === 'error') ? (
-                    <div className="flex flex-row items-center gap-2 text-xs lg:text-sm text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
-                      <AlertCircle size={16} className="shrink-0" />
-                      <span className="break-words">
-                        {
-                          modelProvider.chatModels.find(
-                            (m) => m.key === 'error',
-                          )?.name
-                        }
-                      </span>
-                    </div>
-                  ) : (
-                    <div className="flex flex-row flex-wrap gap-2">
-                      {modelProvider.chatModels.map((model, index) => (
-                        <div
-                          key={`${modelProvider.id}-chat-${model.key}-${index}`}
-                          className="flex flex-row items-center space-x-1 text-xs lg:text-sm text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5"
-                        >
-                          <span>{model.name}</span>
-                          <button
-                            onClick={() => {
-                              handleModelDelete('chat', model.key);
-                            }}
-                          >
-                            <X size={12} />
-                          </button>
-                        </div>
-                      ))}
-                    </div>
-                  )}
-                </div>
+      <div className="flex flex-col gap-y-4 px-5 py-4">
+        <div className="flex flex-col gap-y-2">
+          <div className="flex flex-row w-full justify-between items-center">
+            <p className="text-[11px] lg:text-[11px] font-medium text-black/70 dark:text-white/70 uppercase tracking-wide">
+              Chat Models
+            </p>
+            {!modelProvider.chatModels.some((m) => m.key === 'error') && (
+              <AddModel
+                providerId={modelProvider.id}
+                setProviders={setProviders}
+                type="chat"
+              />
+            )}
+          </div>
+          <div className="flex flex-col gap-2">
+            {modelProvider.chatModels.some((m) => m.key === 'error') ? (
+              <div className="flex flex-row items-center gap-2 text-xs lg:text-xs text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
+                <AlertCircle size={16} className="shrink-0" />
+                <span className="break-words">
+                  {
+                    modelProvider.chatModels.find((m) => m.key === 'error')
+                      ?.name
+                  }
+                </span>
              </div>
-              <div className="flex flex-col gap-y-2">
-                <div className="flex flex-row w-full justify-between items-center">
-                  <p className="text-[11px] lg:text-xs text-black/70 dark:text-white/70">
-                    Embedding models
-                  </p>
-                  <AddModel
-                    providerId={modelProvider.id}
-                    setProviders={setProviders}
-                    type="embedding"
-                  />
-                </div>
-                <div className="flex flex-col gap-2">
-                  {modelProvider.embeddingModels.some(
-                    (m) => m.key === 'error',
-                  ) ? (
-                    <div className="flex flex-row items-center gap-2 text-xs lg:text-sm text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
-                      <AlertCircle size={16} className="shrink-0" />
-                      <span className="break-words">
-                        {
-                          modelProvider.embeddingModels.find(
-                            (m) => m.key === 'error',
-                          )?.name
-                        }
-                      </span>
-                    </div>
-                  ) : (
-                    <div className="flex flex-row flex-wrap gap-2">
-                      {modelProvider.embeddingModels.map((model, index) => (
-                        <div
-                          key={`${modelProvider.id}-embedding-${model.key}-${index}`}
-                          className="flex flex-row items-center space-x-1 text-xs lg:text-sm text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5"
-                        >
-                          <span>{model.name}</span>
-                          <button
-                            onClick={() => {
-                              handleModelDelete('embedding', model.key);
-                            }}
-                          >
-                            <X size={12} />
-                          </button>
-                        </div>
-                      ))}
-                    </div>
-                  )}
-                </div>
+            ) : modelProvider.chatModels.filter((m) => m.key !== 'error')
+                .length === 0 && !hasError ? (
+              <div className="flex flex-col items-center justify-center py-4 px-4 rounded-lg border-2 border-dashed border-light-200 dark:border-dark-200 bg-light-secondary/20 dark:bg-dark-secondary/20">
+                <p className="text-xs text-black/50 dark:text-white/50 text-center">
+                  No chat models configured
+                </p>
              </div>
-            </div>
-          </motion.div>
-        )}
-      </AnimatePresence>
+            ) : modelProvider.chatModels.filter((m) => m.key !== 'error')
+                .length > 0 ? (
+              <div className="flex flex-row flex-wrap gap-2">
+                {modelProvider.chatModels.map((model, index) => (
+                  <div
+                    key={`${modelProvider.id}-chat-${model.key}-${index}`}
+                    className="flex flex-row items-center space-x-1.5 text-xs lg:text-xs text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5 border border-light-200 dark:border-dark-200"
+                  >
+                    <span>{model.name}</span>
+                    <button
+                      onClick={() => {
+                        handleModelDelete('chat', model.key);
+                      }}
+                      className="hover:text-red-500 dark:hover:text-red-400 transition-colors"
+                    >
+                      <X size={12} />
+                    </button>
+                  </div>
+                ))}
+              </div>
+            ) : null}
+          </div>
+        </div>
+
+        <div className="flex flex-col gap-y-2">
+          <div className="flex flex-row w-full justify-between items-center">
+            <p className="text-[11px] lg:text-[11px] font-medium text-black/70 dark:text-white/70 uppercase tracking-wide">
+              Embedding Models
+            </p>
+            {!modelProvider.embeddingModels.some((m) => m.key === 'error') && (
+              <AddModel
+                providerId={modelProvider.id}
+                setProviders={setProviders}
+                type="embedding"
+              />
+            )}
+          </div>
+          <div className="flex flex-col gap-2">
+            {modelProvider.embeddingModels.some((m) => m.key === 'error') ? (
+              <div className="flex flex-row items-center gap-2 text-xs lg:text-xs text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
+                <AlertCircle size={16} className="shrink-0" />
+                <span className="break-words">
+                  {
+                    modelProvider.embeddingModels.find((m) => m.key === 'error')
+                      ?.name
+                  }
+                </span>
+              </div>
+            ) : modelProvider.embeddingModels.filter((m) => m.key !== 'error')
+                .length === 0 && !hasError ? (
+              <div className="flex flex-col items-center justify-center py-4 px-4 rounded-lg border-2 border-dashed border-light-200 dark:border-dark-200 bg-light-secondary/20 dark:bg-dark-secondary/20">
+                <p className="text-xs text-black/50 dark:text-white/50 text-center">
+                  No embedding models configured
+                </p>
+              </div>
+            ) : modelProvider.embeddingModels.filter((m) => m.key !== 'error')
+                .length > 0 ? (
+              <div className="flex flex-row flex-wrap gap-2">
+                {modelProvider.embeddingModels.map((model, index) => (
+                  <div
+                    key={`${modelProvider.id}-embedding-${model.key}-${index}`}
+                    className="flex flex-row items-center space-x-1.5 text-xs lg:text-xs text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5 border border-light-200 dark:border-dark-200"
+                  >
+                    <span>{model.name}</span>
+                    <button
+                      onClick={() => {
+                        handleModelDelete('embedding', model.key);
+                      }}
+                      className="hover:text-red-500 dark:hover:text-red-400 transition-colors"
+                    >
+                      <X size={12} />
+                    </button>
+                  </div>
+                ))}
+              </div>
+            ) : null}
+          </div>
+        </div>
+      </div>
    </div>
  );
 };
--- a/src/components/Settings/Sections/Models/ModelSelect.tsx
+++ b/src/components/Settings/Sections/Models/ModelSelect.tsx
@@ -59,13 +59,13 @@ const ModelSelect = ({
    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
      <div className="space-y-3 lg:space-y-5">
        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
+          <h4 className="text-sm lg:text-sm text-black dark:text-white">
            Select {type === 'chat' ? 'Chat Model' : 'Embedding Model'}
          </h4>
          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
            {type === 'chat'
-              ? 'Select the model to use for chat responses'
-              : 'Select the model to use for embeddings'}
+              ? 'Choose which model to use for generating responses'
+              : 'Choose which model to use for generating embeddings'}
          </p>
        </div>
        <Select
@@ -86,7 +86,7 @@ const ModelSelect = ({
                  })),
                )
          }
-          className="!text-xs lg:!text-sm"
+          className="!text-xs lg:!text-[13px]"
          loading={loading}
          disabled={loading}
        />
--- a/src/components/Settings/Sections/Models/Section.tsx
+++ b/src/components/Settings/Sections/Models/Section.tsx
@@ -20,7 +20,7 @@ const Models = ({
  return (
    <div className="flex-1 space-y-6 overflow-y-auto py-6">
      <div className="flex flex-col px-6 gap-y-4">
-        <h3 className="text-xs lg:text-sm text-black/70 dark:text-white/70">
+        <h3 className="text-xs lg:text-xs text-black/70 dark:text-white/70">
          Select models
        </h3>
        <ModelSelect
@@ -38,23 +38,51 @@ const Models = ({
      </div>
      <div className="border-t border-light-200 dark:border-dark-200" />
      <div className="flex flex-row justify-between items-center px-6 ">
-        <p className="text-xs lg:text-sm text-black/70 dark:text-white/70">
-          Manage model provider
+        <p className="text-xs lg:text-xs text-black/70 dark:text-white/70">
+          Manage connections
        </p>
        <AddProvider modelProviders={fields} setProviders={setProviders} />
      </div>
      <div className="flex flex-col px-6 gap-y-4">
-        {providers.map((provider) => (
-          <ModelProvider
-            key={`provider-${provider.id}`}
-            fields={
-              (fields.find((f) => f.key === provider.type)?.fields ??
-                []) as UIConfigField[]
-            }
-            modelProvider={provider}
-            setProviders={setProviders}
-          />
-        ))}
+        {providers.length === 0 ? (
+          <div className="flex flex-col items-center justify-center py-12 px-4 rounded-lg border-2 border-dashed border-light-200 dark:border-dark-200 bg-light-secondary/10 dark:bg-dark-secondary/10">
+            <div className="p-3 rounded-full bg-sky-500/10 dark:bg-sky-500/10 mb-3">
+              <svg
+                xmlns="http://www.w3.org/2000/svg"
+                className="w-8 h-8 text-sky-500"
+                fill="none"
+                viewBox="0 0 24 24"
+                stroke="currentColor"
+              >
+                <path
+                  strokeLinecap="round"
+                  strokeLinejoin="round"
+                  strokeWidth={2}
+                  d="M13 10V3L4 14h7v7l9-11h-7z"
+                />
+              </svg>
+            </div>
+            <p className="text-sm font-medium text-black/70 dark:text-white/70 mb-1">
+              No connections yet
+            </p>
+            <p className="text-xs text-black/50 dark:text-white/50 text-center max-w-sm mb-4">
+              Add your first connection to start using AI models. Connect to
+              OpenAI, Anthropic, Ollama, and more.
+            </p>
+          </div>
+        ) : (
+          providers.map((provider) => (
+            <ModelProvider
+              key={`provider-${provider.id}`}
+              fields={
+                (fields.find((f) => f.key === provider.type)?.fields ??
+                  []) as UIConfigField[]
+              }
+              modelProvider={provider}
+              setProviders={setProviders}
+            />
+          ))
+        )}
      </div>
    </div>
  );
--- a/src/components/Settings/Sections/Models/UpdateProviderDialog.tsx
+++ b/src/components/Settings/Sections/Models/UpdateProviderDialog.tsx
@@ -67,10 +67,10 @@ const UpdateProvider = ({
        });
      });

-      toast.success('Provider updated successfully.');
+      toast.success('Connection updated successfully.');
    } catch (error) {
      console.error('Error updating provider:', error);
-      toast.error('Failed to update provider.');
+      toast.error('Failed to update connection.');
    } finally {
      setLoading(false);
      setOpen(false);
@@ -109,8 +109,8 @@ const UpdateProvider = ({
              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
                <form onSubmit={handleSubmit} className="flex flex-col flex-1">
                  <div className="px-6 pt-6 pb-4">
-                    <h3 className="text-black/90 dark:text-white/90 font-medium">
-                      Update provider
+                    <h3 className="text-black/90 dark:text-white/90 font-medium text-sm">
+                      Update connection
                    </h3>
                  </div>
                  <div className="border-t border-light-200 dark:border-dark-200" />
@@ -121,13 +121,13 @@ const UpdateProvider = ({
                        className="flex flex-col items-start space-y-2"
                      >
                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Name*
+                          Connection Name*
                        </label>
                        <input
                          value={name}
                          onChange={(event) => setName(event.target.value)}
                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                          placeholder={'Provider Name'}
+                          placeholder={'Connection Name'}
                          type="text"
                          required={true}
                        />
@@ -150,7 +150,7 @@ const UpdateProvider = ({
                                [field.key]: event.target.value,
                              }))
                            }
-                            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
+                            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
                            placeholder={
                              (field as StringUIConfigField).placeholder
                            }
@@ -166,12 +166,12 @@ const UpdateProvider = ({
                    <button
                      type="submit"
                      disabled={loading}
-                      className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
+                      className="px-4 py-2 rounded-lg text-[13px] bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
                    >
                      {loading ? (
                        <Loader2 className="animate-spin" size={16} />
                      ) : (
-                        'Update Provider'
+                        'Update Connection'
                      )}
                    </button>
                  </div>
--- a/src/components/Settings/Sections/Personalization.tsx
+++ b/src/components/Settings/Sections/Personalization.tsx
@@ -0,0 +1,29 @@
+import { UIConfigField } from '@/lib/config/types';
+import SettingsField from '../SettingsField';
+
+const Personalization = ({
+  fields,
+  values,
+}: {
+  fields: UIConfigField[];
+  values: Record<string, any>;
+}) => {
+  return (
+    <div className="flex-1 space-y-6 overflow-y-auto px-6 py-6">
+      {fields.map((field) => (
+        <SettingsField
+          key={field.key}
+          field={field}
+          value={
+            (field.scope === 'client'
+              ? localStorage.getItem(field.key)
+              : values[field.key]) ?? field.default
+          }
+          dataAdd="personalization"
+        />
+      ))}
+    </div>
+  );
+};
+
+export default Personalization;
--- a/src/components/Settings/Sections/Preferences.tsx
+++ b/src/components/Settings/Sections/Preferences.tsx
@@ -1,7 +1,7 @@
 import { UIConfigField } from '@/lib/config/types';
 import SettingsField from '../SettingsField';

-const General = ({
+const Preferences = ({
  fields,
  values,
 }: {
@@ -19,11 +19,11 @@ const General = ({
              ? localStorage.getItem(field.key)
              : values[field.key]) ?? field.default
          }
-          dataAdd="general"
+          dataAdd="preferences"
        />
      ))}
    </div>
  );
 };

-export default General;
+export default Preferences;
--- a/src/components/Settings/SettingsDialogue.tsx
+++ b/src/components/Settings/SettingsDialogue.tsx
@@ -4,9 +4,10 @@ import {
  BrainCog,
  ChevronLeft,
  Search,
-  Settings,
+  Sliders,
+  ToggleRight,
 } from 'lucide-react';
-import General from './Sections/General';
+import Preferences from './Sections/Preferences';
 import { motion } from 'framer-motion';
 import { useEffect, useState } from 'react';
 import { toast } from 'sonner';
@@ -15,20 +16,29 @@ import { cn } from '@/lib/utils';
 import Models from './Sections/Models/Section';
 import SearchSection from './Sections/Search';
 import Select from '@/components/ui/Select';
+import Personalization from './Sections/Personalization';

 const sections = [
  {
-    key: 'general',
-    name: 'General',
-    description: 'Adjust common settings.',
-    icon: Settings,
-    component: General,
-    dataAdd: 'general',
+    key: 'preferences',
+    name: 'Preferences',
+    description: 'Customize your application preferences.',
+    icon: Sliders,
+    component: Preferences,
+    dataAdd: 'preferences',
+  },
+  {
+    key: 'personalization',
+    name: 'Personalization',
+    description: 'Customize the behavior and tone of the model.',
+    icon: ToggleRight,
+    component: Personalization,
+    dataAdd: 'personalization',
  },
  {
    key: 'models',
    name: 'Models',
-    description: 'Configure model settings.',
+    description: 'Connect to AI services and manage connections.',
    icon: BrainCog,
    component: Models,
    dataAdd: 'modelProviders',
@@ -166,7 +176,7 @@ const SettingsDialogue = ({
                  <div className="flex flex-1 flex-col overflow-hidden">
                    <div className="border-b border-light-200/60 px-6 pb-6 lg:pt-6 dark:border-dark-200/60 flex-shrink-0">
                      <div className="flex flex-col">
-                        <h4 className="font-medium text-black dark:text-white text-sm lg:text-base">
+                        <h4 className="font-medium text-black dark:text-white text-sm lg:text-sm">
                          {selectedSection.name}
                        </h4>
                        <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
--- a/src/components/Settings/SettingsField.tsx
+++ b/src/components/Settings/SettingsField.tsx
@@ -1,6 +1,7 @@
 import {
  SelectUIConfigField,
  StringUIConfigField,
+  SwitchUIConfigField,
  TextareaUIConfigField,
  UIConfigField,
 } from '@/lib/config/types';
@@ -9,6 +10,7 @@ import Select from '../ui/Select';
 import { toast } from 'sonner';
 import { useTheme } from 'next-themes';
 import { Loader2 } from 'lucide-react';
+import { Switch } from '@headlessui/react';

 const SettingsSelect = ({
  field,
@@ -62,7 +64,7 @@ const SettingsSelect = ({
    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
      <div className="space-y-3 lg:space-y-5">
        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
+          <h4 className="text-sm lg:text-sm text-black dark:text-white">
            {field.name}
          </h4>
          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -133,7 +135,7 @@ const SettingsInput = ({
    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
      <div className="space-y-3 lg:space-y-5">
        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
+          <h4 className="text-sm lg:text-sm text-black dark:text-white">
            {field.name}
          </h4>
          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -145,7 +147,7 @@ const SettingsInput = ({
            value={value ?? field.default ?? ''}
            onChange={(event) => setValue(event.target.value)}
            onBlur={(event) => handleSave(event.target.value)}
-            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
+            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
            placeholder={field.placeholder}
            type="text"
            disabled={loading}
@@ -209,7 +211,7 @@ const SettingsTextarea = ({
    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
      <div className="space-y-3 lg:space-y-5">
        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
+          <h4 className="text-sm lg:text-sm text-black dark:text-white">
            {field.name}
          </h4>
          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
@@ -221,7 +223,7 @@ const SettingsTextarea = ({
            value={value ?? field.default ?? ''}
            onChange={(event) => setValue(event.target.value)}
            onBlur={(event) => handleSave(event.target.value)}
-            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
+            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-[13px] text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
            placeholder={field.placeholder}
            rows={4}
            disabled={loading}
@@ -237,6 +239,79 @@ const SettingsTextarea = ({
  );
 };

+const SettingsSwitch = ({
+  field,
+  value,
+  setValue,
+  dataAdd,
+}: {
+  field: SwitchUIConfigField;
+  value?: any;
+  setValue: (value: any) => void;
+  dataAdd: string;
+}) => {
+  const [loading, setLoading] = useState(false);
+
+  const handleSave = async (newValue: boolean) => {
+    setLoading(true);
+    setValue(newValue);
+    try {
+      if (field.scope === 'client') {
+        localStorage.setItem(field.key, String(newValue));
+      } else {
+        const res = await fetch('/api/config', {
+          method: 'POST',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+          body: JSON.stringify({
+            key: `${dataAdd}.${field.key}`,
+            value: newValue,
+          }),
+        });
+
+        if (!res.ok) {
+          console.error('Failed to save config:', await res.text());
+          throw new Error('Failed to save configuration');
+        }
+      }
+    } catch (error) {
+      console.error('Error saving config:', error);
+      toast.error('Failed to save configuration.');
+    } finally {
+      setTimeout(() => setLoading(false), 150);
+    }
+  };
+
+  const isChecked = value === true || value === 'true';
+
+  return (
+    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
+      <div className="flex flex-row items-center space-x-3 lg:space-x-5 w-full justify-between">
+        <div>
+          <h4 className="text-sm lg:text-sm text-black dark:text-white">
+            {field.name}
+          </h4>
+          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
+            {field.description}
+          </p>
+        </div>
+        <Switch
+          checked={isChecked}
+          onChange={handleSave}
+          disabled={loading}
+          className="group relative flex h-6 w-12 shrink-0 cursor-pointer rounded-full bg-white/10 p-1 duration-200 ease-in-out focus:outline-none transition-colors disabled:opacity-60 disabled:cursor-not-allowed data-[checked]:bg-sky-500"
+        >
+          <span
+            aria-hidden="true"
+            className="pointer-events-none inline-block size-4 translate-x-0 rounded-full bg-white shadow-lg ring-0 transition duration-200 ease-in-out group-data-[checked]:translate-x-6"
+          />
+        </Switch>
+      </div>
+    </section>
+  );
+};
+
 const SettingsField = ({
  field,
  value,
@@ -276,6 +351,15 @@ const SettingsField = ({
          dataAdd={dataAdd}
        />
      );
+    case 'switch':
+      return (
+        <SettingsSwitch
+          field={field}
+          value={val}
+          setValue={setVal}
+          dataAdd={dataAdd}
+        />
+      );
    default:
      return <div>Unsupported field type: {field.type}</div>;
  }
--- a/src/components/Setup/SetupConfig.tsx
+++ b/src/components/Setup/SetupConfig.tsx
@@ -63,7 +63,11 @@ const SetupConfig = ({
    }
  };

-  const hasProviders = providers.length > 0;
+  const visibleProviders = providers.filter(
+    (p) => p.name.toLowerCase() !== 'transformers',
+  );
+  const hasProviders =
+    visibleProviders.filter((p) => p.chatModels.length > 0).length > 0;

  return (
    <div className="w-[95vw] md:w-[80vw] lg:w-[65vw] mx-auto px-2 sm:px-4 md:px-6 flex flex-col space-y-6">
@@ -81,10 +85,10 @@ const SetupConfig = ({
            <div className="flex flex-row justify-between items-center mb-4 md:mb-6 pb-3 md:pb-4 border-b border-light-200 dark:border-dark-200">
              <div>
                <p className="text-xs sm:text-sm font-medium text-black dark:text-white">
-                  Manage Providers
+                  Manage Connections
                </p>
                <p className="text-[10px] sm:text-xs text-black/50 dark:text-white/50 mt-0.5">
-                  Add and configure your model providers
+                  Add connections to access AI models
                </p>
              </div>
              <AddProvider
@@ -100,14 +104,17 @@ const SetupConfig = ({
                    Loading providers...
                  </p>
                </div>
-              ) : providers.length === 0 ? (
+              ) : visibleProviders.length === 0 ? (
                <div className="flex flex-col items-center justify-center py-8 md:py-12 text-center">
                  <p className="text-xs sm:text-sm font-medium text-black/70 dark:text-white/70">
-                    No providers configured
+                    No connections configured
+                  </p>
+                  <p className="text-[10px] sm:text-xs text-black/50 dark:text-white/50 mt-1">
+                    Click &quot;Add Connection&quot; above to get started
                  </p>
                </div>
              ) : (
-                providers.map((provider) => (
+                visibleProviders.map((provider) => (
                  <ModelProvider
                    key={`provider-${provider.id}`}
                    fields={
--- a/src/components/WeatherWidget.tsx
+++ b/src/components/WeatherWidget.tsx
@@ -91,7 +91,7 @@ const WeatherWidget = () => {
      setData({
        temperature: data.temperature,
        condition: data.condition,
-        location: location.city,
+        location: 'Mars',
        humidity: data.humidity,
        windSpeed: data.windSpeed,
        icon: data.icon,
--- a/src/components/Widgets/Calculation.tsx
+++ b/src/components/Widgets/Calculation.tsx
@@ -0,0 +1,54 @@
+'use client';
+
+import { Calculator, Equal } from 'lucide-react';
+
+type CalculationWidgetProps = {
+  expression: string;
+  result: number;
+};
+
+const Calculation = ({ expression, result }: CalculationWidgetProps) => {
+  return (
+    <div className="rounded-lg bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 overflow-hidden shadow-sm">
+      <div className="flex items-center gap-2 p-3 bg-light-100/50 dark:bg-dark-100/50 border-b border-light-200 dark:border-dark-200">
+        <div className="rounded-full p-1.5 bg-light-100 dark:bg-dark-100">
+          <Calculator className="w-4 h-4 text-black/70 dark:text-white/70" />
+        </div>
+        <span className="text-sm font-medium text-black dark:text-white">
+          Calculation
+        </span>
+      </div>
+
+      <div className="p-4 space-y-3">
+        <div>
+          <div className="flex items-center gap-1.5 mb-1.5">
+            <span className="text-xs text-black/50 dark:text-white/50 font-medium">
+              Expression
+            </span>
+          </div>
+          <div className="bg-light-100 dark:bg-dark-100 rounded-md p-2.5 border border-light-200 dark:border-dark-200">
+            <code className="text-sm text-black dark:text-white font-mono break-all">
+              {expression}
+            </code>
+          </div>
+        </div>
+
+        <div>
+          <div className="flex items-center gap-1.5 mb-1.5">
+            <Equal className="w-3.5 h-3.5 text-black/50 dark:text-white/50" />
+            <span className="text-xs text-black/50 dark:text-white/50 font-medium">
+              Result
+            </span>
+          </div>
+          <div className="bg-gradient-to-br from-light-100 to-light-secondary dark:from-dark-100 dark:to-dark-secondary rounded-md p-4 border-2 border-light-200 dark:border-dark-200">
+            <div className="text-4xl font-bold text-black dark:text-white font-mono tabular-nums">
+              {result.toLocaleString()}
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Calculation;
--- a/src/components/Widgets/Renderer.tsx
+++ b/src/components/Widgets/Renderer.tsx
@@ -0,0 +1,76 @@
+import React from 'react';
+import { Widget } from '../ChatWindow';
+import Weather from './Weather';
+import Calculation from './Calculation';
+import Stock from './Stock';
+
+const Renderer = ({ widgets }: { widgets: Widget[] }) => {
+  return widgets.map((widget, index) => {
+    switch (widget.widgetType) {
+      case 'weather':
+        return (
+          <Weather
+            key={index}
+            location={widget.params.location}
+            current={widget.params.current}
+            daily={widget.params.daily}
+            timezone={widget.params.timezone}
+          />
+        );
+      case 'calculation_result':
+        return (
+          <Calculation
+            expression={widget.params.expression}
+            result={widget.params.result}
+            key={index}
+          />
+        );
+      case 'stock':
+        return (
+          <Stock
+            key={index}
+            symbol={widget.params.symbol}
+            shortName={widget.params.shortName}
+            longName={widget.params.longName}
+            exchange={widget.params.exchange}
+            currency={widget.params.currency}
+            marketState={widget.params.marketState}
+            regularMarketPrice={widget.params.regularMarketPrice}
+            regularMarketChange={widget.params.regularMarketChange}
+            regularMarketChangePercent={
+              widget.params.regularMarketChangePercent
+            }
+            regularMarketPreviousClose={
+              widget.params.regularMarketPreviousClose
+            }
+            regularMarketOpen={widget.params.regularMarketOpen}
+            regularMarketDayHigh={widget.params.regularMarketDayHigh}
+            regularMarketDayLow={widget.params.regularMarketDayLow}
+            regularMarketVolume={widget.params.regularMarketVolume}
+            averageDailyVolume3Month={widget.params.averageDailyVolume3Month}
+            marketCap={widget.params.marketCap}
+            fiftyTwoWeekLow={widget.params.fiftyTwoWeekLow}
+            fiftyTwoWeekHigh={widget.params.fiftyTwoWeekHigh}
+            trailingPE={widget.params.trailingPE}
+            forwardPE={widget.params.forwardPE}
+            dividendYield={widget.params.dividendYield}
+            earningsPerShare={widget.params.earningsPerShare}
+            website={widget.params.website}
+            postMarketPrice={widget.params.postMarketPrice}
+            postMarketChange={widget.params.postMarketChange}
+            postMarketChangePercent={widget.params.postMarketChangePercent}
+            preMarketPrice={widget.params.preMarketPrice}
+            preMarketChange={widget.params.preMarketChange}
+            preMarketChangePercent={widget.params.preMarketChangePercent}
+            chartData={widget.params.chartData}
+            comparisonData={widget.params.comparisonData}
+            error={widget.params.error}
+          />
+        );
+      default:
+        return <div key={index}>Unknown widget type: {widget.widgetType}</div>;
+    }
+  });
+};
+
+export default Renderer;
--- a/src/components/Widgets/Stock.tsx
+++ b/src/components/Widgets/Stock.tsx
@@ -0,0 +1,517 @@
+'use client';
+
+import { Clock, ArrowUpRight, ArrowDownRight, Minus } from 'lucide-react';
+import { useEffect, useRef, useState } from 'react';
+import {
+  createChart,
+  ColorType,
+  LineStyle,
+  BaselineSeries,
+  LineSeries,
+} from 'lightweight-charts';
+
+type StockWidgetProps = {
+  symbol: string;
+  shortName: string;
+  longName?: string;
+  exchange?: string;
+  currency?: string;
+  marketState?: string;
+  regularMarketPrice?: number;
+  regularMarketChange?: number;
+  regularMarketChangePercent?: number;
+  regularMarketPreviousClose?: number;
+  regularMarketOpen?: number;
+  regularMarketDayHigh?: number;
+  regularMarketDayLow?: number;
+  regularMarketVolume?: number;
+  averageDailyVolume3Month?: number;
+  marketCap?: number;
+  fiftyTwoWeekLow?: number;
+  fiftyTwoWeekHigh?: number;
+  trailingPE?: number;
+  forwardPE?: number;
+  dividendYield?: number;
+  earningsPerShare?: number;
+  website?: string;
+  postMarketPrice?: number;
+  postMarketChange?: number;
+  postMarketChangePercent?: number;
+  preMarketPrice?: number;
+  preMarketChange?: number;
+  preMarketChangePercent?: number;
+  chartData?: {
+    '1D'?: { timestamps: number[]; prices: number[] } | null;
+    '5D'?: { timestamps: number[]; prices: number[] } | null;
+    '1M'?: { timestamps: number[]; prices: number[] } | null;
+    '3M'?: { timestamps: number[]; prices: number[] } | null;
+    '6M'?: { timestamps: number[]; prices: number[] } | null;
+    '1Y'?: { timestamps: number[]; prices: number[] } | null;
+    MAX?: { timestamps: number[]; prices: number[] } | null;
+  } | null;
+  comparisonData?: Array<{
+    ticker: string;
+    name: string;
+    chartData: {
+      '1D'?: { timestamps: number[]; prices: number[] } | null;
+      '5D'?: { timestamps: number[]; prices: number[] } | null;
+      '1M'?: { timestamps: number[]; prices: number[] } | null;
+      '3M'?: { timestamps: number[]; prices: number[] } | null;
+      '6M'?: { timestamps: number[]; prices: number[] } | null;
+      '1Y'?: { timestamps: number[]; prices: number[] } | null;
+      MAX?: { timestamps: number[]; prices: number[] } | null;
+    };
+  }> | null;
+  error?: string;
+};
+
+const formatNumber = (num: number | undefined, decimals = 2): string => {
+  if (num === undefined || num === null) return 'N/A';
+  return num.toLocaleString(undefined, {
+    minimumFractionDigits: decimals,
+    maximumFractionDigits: decimals,
+  });
+};
+
+const formatLargeNumber = (num: number | undefined): string => {
+  if (num === undefined || num === null) return 'N/A';
+  if (num >= 1e12) return `$${(num / 1e12).toFixed(2)}T`;
+  if (num >= 1e9) return `$${(num / 1e9).toFixed(2)}B`;
+  if (num >= 1e6) return `$${(num / 1e6).toFixed(2)}M`;
+  if (num >= 1e3) return `$${(num / 1e3).toFixed(2)}K`;
+  return `$${num.toFixed(2)}`;
+};
+
+const Stock = (props: StockWidgetProps) => {
+  const [isDarkMode, setIsDarkMode] = useState(false);
+  const [selectedTimeframe, setSelectedTimeframe] = useState<
+    '1D' | '5D' | '1M' | '3M' | '6M' | '1Y' | 'MAX'
+  >('1M');
+  const chartContainerRef = useRef<HTMLDivElement>(null);
+
+  useEffect(() => {
+    const checkDarkMode = () => {
+      setIsDarkMode(document.documentElement.classList.contains('dark'));
+    };
+
+    checkDarkMode();
+
+    const observer = new MutationObserver(checkDarkMode);
+    observer.observe(document.documentElement, {
+      attributes: true,
+      attributeFilter: ['class'],
+    });
+
+    return () => observer.disconnect();
+  }, []);
+
+  useEffect(() => {
+    const currentChartData = props.chartData?.[selectedTimeframe];
+    if (
+      !chartContainerRef.current ||
+      !currentChartData ||
+      currentChartData.timestamps.length === 0
+    ) {
+      return;
+    }
+
+    const chart = createChart(chartContainerRef.current, {
+      width: chartContainerRef.current.clientWidth,
+      height: 280,
+      layout: {
+        background: { type: ColorType.Solid, color: 'transparent' },
+        textColor: isDarkMode ? '#6b7280' : '#9ca3af',
+        fontSize: 11,
+        attributionLogo: false,
+      },
+      grid: {
+        vertLines: {
+          color: isDarkMode ? '#21262d' : '#e8edf1',
+          style: LineStyle.Solid,
+        },
+        horzLines: {
+          color: isDarkMode ? '#21262d' : '#e8edf1',
+          style: LineStyle.Solid,
+        },
+      },
+      crosshair: {
+        vertLine: {
+          color: isDarkMode ? '#30363d' : '#d0d7de',
+          labelVisible: false,
+        },
+        horzLine: {
+          color: isDarkMode ? '#30363d' : '#d0d7de',
+          labelVisible: true,
+        },
+      },
+      rightPriceScale: {
+        borderVisible: false,
+        visible: false,
+      },
+      leftPriceScale: {
+        borderVisible: false,
+        visible: true,
+      },
+      timeScale: {
+        borderVisible: false,
+        timeVisible: false,
+      },
+      handleScroll: false,
+      handleScale: false,
+    });
+
+    const prices = currentChartData.prices;
+    let baselinePrice: number;
+
+    if (selectedTimeframe === '1D') {
+      baselinePrice = props.regularMarketPreviousClose ?? prices[0];
+    } else {
+      baselinePrice = prices[0];
+    }
+
+    const baselineSeries = chart.addSeries(BaselineSeries);
+
+    baselineSeries.applyOptions({
+      baseValue: { type: 'price', price: baselinePrice },
+      topLineColor: isDarkMode ? '#14b8a6' : '#0d9488',
+      topFillColor1: isDarkMode
+        ? 'rgba(20, 184, 166, 0.28)'
+        : 'rgba(13, 148, 136, 0.24)',
+      topFillColor2: isDarkMode
+        ? 'rgba(20, 184, 166, 0.05)'
+        : 'rgba(13, 148, 136, 0.05)',
+      bottomLineColor: isDarkMode ? '#f87171' : '#dc2626',
+      bottomFillColor1: isDarkMode
+        ? 'rgba(248, 113, 113, 0.05)'
+        : 'rgba(220, 38, 38, 0.05)',
+      bottomFillColor2: isDarkMode
+        ? 'rgba(248, 113, 113, 0.28)'
+        : 'rgba(220, 38, 38, 0.24)',
+      lineWidth: 2,
+      crosshairMarkerVisible: true,
+      crosshairMarkerRadius: 4,
+      crosshairMarkerBorderColor: '',
+      crosshairMarkerBackgroundColor: '',
+    });
+
+    const data = currentChartData.timestamps.map((timestamp, index) => {
+      const price = currentChartData.prices[index];
+      return {
+        time: (timestamp / 1000) as any,
+        value: price,
+      };
+    });
+
+    baselineSeries.setData(data);
+
+    const comparisonColors = ['#8b5cf6', '#f59e0b', '#ec4899'];
+    if (props.comparisonData && props.comparisonData.length > 0) {
+      props.comparisonData.forEach((comp, index) => {
+        const compChartData = comp.chartData[selectedTimeframe];
+        if (compChartData && compChartData.prices.length > 0) {
+          const compData = compChartData.timestamps.map((timestamp, i) => ({
+            time: (timestamp / 1000) as any,
+            value: compChartData.prices[i],
+          }));
+
+          const compSeries = chart.addSeries(LineSeries);
+          compSeries.applyOptions({
+            color: comparisonColors[index] || '#6b7280',
+            lineWidth: 2,
+            crosshairMarkerVisible: true,
+            crosshairMarkerRadius: 4,
+            priceScaleId: 'left',
+          });
+          compSeries.setData(compData);
+        }
+      });
+    }
+
+    chart.timeScale().fitContent();
+
+    const handleResize = () => {
+      if (chartContainerRef.current) {
+        chart.applyOptions({
+          width: chartContainerRef.current.clientWidth,
+        });
+      }
+    };
+
+    window.addEventListener('resize', handleResize);
+
+    return () => {
+      window.removeEventListener('resize', handleResize);
+      chart.remove();
+    };
+  }, [
+    props.chartData,
+    props.comparisonData,
+    selectedTimeframe,
+    isDarkMode,
+    props.regularMarketPreviousClose,
+  ]);
+
+  const isPositive = (props.regularMarketChange ?? 0) >= 0;
+  const isMarketOpen = props.marketState === 'REGULAR';
+  const isPreMarket = props.marketState === 'PRE';
+  const isPostMarket = props.marketState === 'POST';
+
+  const displayPrice = isPostMarket
+    ? props.postMarketPrice ?? props.regularMarketPrice
+    : isPreMarket
+      ? props.preMarketPrice ?? props.regularMarketPrice
+      : props.regularMarketPrice;
+
+  const displayChange = isPostMarket
+    ? props.postMarketChange ?? props.regularMarketChange
+    : isPreMarket
+      ? props.preMarketChange ?? props.regularMarketChange
+      : props.regularMarketChange;
+
+  const displayChangePercent = isPostMarket
+    ? props.postMarketChangePercent ?? props.regularMarketChangePercent
+    : isPreMarket
+      ? props.preMarketChangePercent ?? props.regularMarketChangePercent
+      : props.regularMarketChangePercent;
+
+  const changeColor = isPositive
+    ? 'text-green-600 dark:text-green-400'
+    : 'text-red-600 dark:text-red-400';
+
+  if (props.error) {
+    return (
+      <div className="rounded-lg bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-4">
+        <p className="text-sm text-black dark:text-white">
+          Error: {props.error}
+        </p>
+      </div>
+    );
+  }
+
+  return (
+    <div className="rounded-lg border border-light-200 dark:border-dark-200 overflow-hidden">
+      <div className="p-4 space-y-4">
+        <div className="flex items-start justify-between gap-4 pb-4 border-b border-light-200 dark:border-dark-200">
+          <div className="flex-1">
+            <div className="flex items-center gap-2 mb-1">
+              {props.website && (
+                <img
+                  src={`https://logo.clearbit.com/${new URL(props.website).hostname}`}
+                  alt={`${props.symbol} logo`}
+                  className="w-8 h-8 rounded-lg"
+                  onError={(e) => {
+                    (e.target as HTMLImageElement).style.display = 'none';
+                  }}
+                />
+              )}
+              <h3 className="text-2xl font-bold text-black dark:text-white">
+                {props.symbol}
+              </h3>
+              {props.exchange && (
+                <span className="px-2 py-0.5 text-xs font-medium rounded bg-light-100 dark:bg-dark-100 text-black/60 dark:text-white/60">
+                  {props.exchange}
+                </span>
+              )}
+              {isMarketOpen && (
+                <div className="flex items-center gap-1.5 px-2 py-0.5 rounded-full bg-green-100 dark:bg-green-950/40 border border-green-300 dark:border-green-800">
+                  <div className="w-1.5 h-1.5 rounded-full bg-green-500 animate-pulse" />
+                  <span className="text-xs font-medium text-green-700 dark:text-green-400">
+                    Live
+                  </span>
+                </div>
+              )}
+              {isPreMarket && (
+                <div className="flex items-center gap-1.5 px-2 py-0.5 rounded-full bg-blue-100 dark:bg-blue-950/40 border border-blue-300 dark:border-blue-800">
+                  <Clock className="w-3 h-3 text-blue-600 dark:text-blue-400" />
+                  <span className="text-xs font-medium text-blue-700 dark:text-blue-400">
+                    Pre-Market
+                  </span>
+                </div>
+              )}
+              {isPostMarket && (
+                <div className="flex items-center gap-1.5 px-2 py-0.5 rounded-full bg-orange-100 dark:bg-orange-950/40 border border-orange-300 dark:border-orange-800">
+                  <Clock className="w-3 h-3 text-orange-600 dark:text-orange-400" />
+                  <span className="text-xs font-medium text-orange-700 dark:text-orange-400">
+                    After Hours
+                  </span>
+                </div>
+              )}
+            </div>
+            <p className="text-sm text-black/60 dark:text-white/60">
+              {props.longName || props.shortName}
+            </p>
+          </div>
+
+          <div className="text-right">
+            <div className="flex items-baseline gap-2 mb-1">
+              <span className="text-3xl font-medium text-black dark:text-white">
+                {props.currency === 'USD' ? '$' : ''}
+                {formatNumber(displayPrice)}
+              </span>
+            </div>
+            <div
+              className={`flex items-center justify-end gap-1 ${changeColor}`}
+            >
+              {isPositive ? (
+                <ArrowUpRight className="w-4 h-4" />
+              ) : displayChange === 0 ? (
+                <Minus className="w-4 h-4" />
+              ) : (
+                <ArrowDownRight className="w-4 h-4" />
+              )}
+              <span className="text-lg font-normal">
+                {displayChange !== undefined && displayChange >= 0 ? '+' : ''}
+                {formatNumber(displayChange)}
+              </span>
+              <span className="text-sm font-normal">
+                (
+                {displayChangePercent !== undefined && displayChangePercent >= 0
+                  ? '+'
+                  : ''}
+                {formatNumber(displayChangePercent)}%)
+              </span>
+            </div>
+          </div>
+        </div>
+
+        {props.chartData && (
+          <div className="bg-light-secondary dark:bg-dark-secondary rounded-lg overflow-hidden">
+            <div className="flex items-center justify-between p-3 border-b border-light-200 dark:border-dark-200">
+              <div className="flex items-center gap-1">
+                {(['1D', '5D', '1M', '3M', '6M', '1Y', 'MAX'] as const).map(
+                  (timeframe) => (
+                    <button
+                      key={timeframe}
+                      onClick={() => setSelectedTimeframe(timeframe)}
+                      disabled={!props.chartData?.[timeframe]}
+                      className={`px-3 py-1.5 text-xs font-medium rounded transition-colors ${
+                        selectedTimeframe === timeframe
+                          ? 'bg-black/10 dark:bg-white/10 text-black dark:text-white'
+                          : 'text-black/50 dark:text-white/50 hover:text-black/80 dark:hover:text-white/80'
+                      } disabled:opacity-30 disabled:cursor-not-allowed`}
+                    >
+                      {timeframe}
+                    </button>
+                  ),
+                )}
+              </div>
+
+              {props.comparisonData && props.comparisonData.length > 0 && (
+                <div className="flex items-center gap-3 ml-auto">
+                  <span className="text-xs text-black/50 dark:text-white/50">
+                    {props.symbol}
+                  </span>
+                  {props.comparisonData.map((comp, index) => {
+                    const colors = ['#8b5cf6', '#f59e0b', '#ec4899'];
+                    return (
+                      <div
+                        key={comp.ticker}
+                        className="flex items-center gap-1.5"
+                      >
+                        <div
+                          className="w-2 h-2 rounded-full"
+                          style={{ backgroundColor: colors[index] }}
+                        />
+                        <span className="text-xs text-black/70 dark:text-white/70">
+                          {comp.ticker}
+                        </span>
+                      </div>
+                    );
+                  })}
+                </div>
+              )}
+            </div>
+
+            <div className="p-4">
+              <div ref={chartContainerRef} />
+            </div>
+
+            <div className="grid grid-cols-3 border-t border-light-200 dark:border-dark-200">
+              <div className="flex justify-between p-3 border-r border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  Prev Close
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  ${formatNumber(props.regularMarketPreviousClose)}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-r border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  52W Range
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  ${formatNumber(props.fiftyTwoWeekLow, 2)}-$
+                  {formatNumber(props.fiftyTwoWeekHigh, 2)}
+                </span>
+              </div>
+              <div className="flex justify-between p-3">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  Market Cap
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  {formatLargeNumber(props.marketCap)}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-t border-r border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  Open
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  ${formatNumber(props.regularMarketOpen)}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-t border-r border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  P/E Ratio
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  {props.trailingPE ? formatNumber(props.trailingPE, 2) : 'N/A'}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-t border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  Dividend Yield
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  {props.dividendYield
+                    ? `${formatNumber(props.dividendYield * 100, 2)}%`
+                    : 'N/A'}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-t border-r border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  Day Range
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  ${formatNumber(props.regularMarketDayLow, 2)}-$
+                  {formatNumber(props.regularMarketDayHigh, 2)}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-t border-r border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  Volume
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  {formatLargeNumber(props.regularMarketVolume)}
+                </span>
+              </div>
+              <div className="flex justify-between p-3 border-t border-light-200 dark:border-dark-200">
+                <span className="text-xs text-black/50 dark:text-white/50">
+                  EPS
+                </span>
+                <span className="text-xs text-black dark:text-white font-medium">
+                  $
+                  {props.earningsPerShare
+                    ? formatNumber(props.earningsPerShare, 2)
+                    : 'N/A'}
+                </span>
+              </div>
+            </div>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+};
+
+export default Stock;
--- a/src/components/Widgets/Weather.tsx
+++ b/src/components/Widgets/Weather.tsx
@@ -0,0 +1,408 @@
+'use client';
+
+import { Wind, Droplets, Gauge } from 'lucide-react';
+import { useMemo, useEffect, useState } from 'react';
+
+type WeatherWidgetProps = {
+  location: string;
+  current: {
+    time: string;
+    temperature_2m: number;
+    relative_humidity_2m: number;
+    apparent_temperature: number;
+    is_day: number;
+    precipitation: number;
+    weather_code: number;
+    wind_speed_10m: number;
+    wind_direction_10m: number;
+    wind_gusts_10m?: number;
+  };
+  daily: {
+    time: string[];
+    weather_code: number[];
+    temperature_2m_max: number[];
+    temperature_2m_min: number[];
+    precipitation_probability_max: number[];
+  };
+  timezone: string;
+};
+
+const getWeatherInfo = (code: number, isDay: boolean, isDarkMode: boolean) => {
+  const dayNight = isDay ? 'day' : 'night';
+
+  const weatherMap: Record<
+    number,
+    { icon: string; description: string; gradient: string }
+  > = {
+    0: {
+      icon: `clear-${dayNight}.svg`,
+      description: 'Clear',
+      gradient: isDarkMode
+        ? isDay
+          ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #E8F1FA, #7A9DBF 35%, #4A7BA8 60%, #2F5A88)'
+          : 'radial-gradient(ellipse 150% 100% at 50% 100%, #5A6A7E, #3E4E63 40%, #2A3544 65%, #1A2230)'
+        : isDay
+          ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #DBEAFE 30%, #93C5FD 60%, #60A5FA)'
+          : 'radial-gradient(ellipse 150% 100% at 50% 100%, #7B8694, #475569 45%, #334155 70%, #1E293B)',
+    },
+    1: {
+      icon: `clear-${dayNight}.svg`,
+      description: 'Mostly Clear',
+      gradient: isDarkMode
+        ? isDay
+          ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #E8F1FA, #7A9DBF 35%, #4A7BA8 60%, #2F5A88)'
+          : 'radial-gradient(ellipse 150% 100% at 50% 100%, #5A6A7E, #3E4E63 40%, #2A3544 65%, #1A2230)'
+        : isDay
+          ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #DBEAFE 30%, #93C5FD 60%, #60A5FA)'
+          : 'radial-gradient(ellipse 150% 100% at 50% 100%, #7B8694, #475569 45%, #334155 70%, #1E293B)',
+    },
+    2: {
+      icon: `cloudy-1-${dayNight}.svg`,
+      description: 'Partly Cloudy',
+      gradient: isDarkMode
+        ? isDay
+          ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #D4E1ED, #8BA3B8 35%, #617A93 60%, #426070)'
+          : 'radial-gradient(ellipse 150% 100% at 50% 100%, #6B7583, #4A5563 40%, #3A4450 65%, #2A3340)'
+        : isDay
+          ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #E0F2FE 28%, #BFDBFE 58%, #93C5FD)'
+          : 'radial-gradient(ellipse 150% 100% at 50% 100%, #8B99AB, #64748B 45%, #475569 70%, #334155)',
+    },
+    3: {
+      icon: `cloudy-1-${dayNight}.svg`,
+      description: 'Cloudy',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #B8C3CF, #758190 38%, #546270 65%, #3D4A58)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #F5F8FA, #CBD5E1 32%, #94A3B8 65%, #64748B)',
+    },
+    45: {
+      icon: `fog-${dayNight}.svg`,
+      description: 'Foggy',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #C5CDD8, #8892A0 38%, #697380 65%, #4F5A68)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #E2E8F0 30%, #CBD5E1 62%, #94A3B8)',
+    },
+    48: {
+      icon: `fog-${dayNight}.svg`,
+      description: 'Rime Fog',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #C5CDD8, #8892A0 38%, #697380 65%, #4F5A68)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #E2E8F0 30%, #CBD5E1 62%, #94A3B8)',
+    },
+    51: {
+      icon: `rainy-1-${dayNight}.svg`,
+      description: 'Light Drizzle',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #B8D4E5, #6FA4C5 35%, #4A85AC 60%, #356A8E)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #E5FBFF, #A5F3FC 28%, #67E8F9 60%, #22D3EE)',
+    },
+    53: {
+      icon: `rainy-1-${dayNight}.svg`,
+      description: 'Drizzle',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #B8D4E5, #6FA4C5 35%, #4A85AC 60%, #356A8E)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #E5FBFF, #A5F3FC 28%, #67E8F9 60%, #22D3EE)',
+    },
+    55: {
+      icon: `rainy-2-${dayNight}.svg`,
+      description: 'Heavy Drizzle',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #A5C5D8, #5E92B0 35%, #3F789D 60%, #2A5F82)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #D4F3FF, #7DD3FC 30%, #38BDF8 62%, #0EA5E9)',
+    },
+    61: {
+      icon: `rainy-2-${dayNight}.svg`,
+      description: 'Light Rain',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #A5C5D8, #5E92B0 35%, #3F789D 60%, #2A5F82)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #D4F3FF, #7DD3FC 30%, #38BDF8 62%, #0EA5E9)',
+    },
+    63: {
+      icon: `rainy-2-${dayNight}.svg`,
+      description: 'Rain',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #8DB3C8, #4D819F 38%, #326A87 65%, #215570)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #B8E8FF, #38BDF8 32%, #0EA5E9 65%, #0284C7)',
+    },
+    65: {
+      icon: `rainy-3-${dayNight}.svg`,
+      description: 'Heavy Rain',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #7BA3B8, #3D6F8A 38%, #295973 65%, #1A455D)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #9CD9F5, #0EA5E9 32%, #0284C7 65%, #0369A1)',
+    },
+    71: {
+      icon: `snowy-1-${dayNight}.svg`,
+      description: 'Light Snow',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #E5F0FA, #9BB5CE 32%, #7496B8 58%, #527A9E)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #F0F9FF 25%, #E0F2FE 55%, #BAE6FD)',
+    },
+    73: {
+      icon: `snowy-2-${dayNight}.svg`,
+      description: 'Snow',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #D4E5F3, #85A1BD 35%, #6584A8 60%, #496A8E)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #FAFEFF, #E0F2FE 28%, #BAE6FD 60%, #7DD3FC)',
+    },
+    75: {
+      icon: `snowy-3-${dayNight}.svg`,
+      description: 'Heavy Snow',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #BDD8EB, #6F92AE 35%, #4F7593 60%, #365A78)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #F0FAFF, #BAE6FD 30%, #7DD3FC 62%, #38BDF8)',
+    },
+    77: {
+      icon: `snowy-1-${dayNight}.svg`,
+      description: 'Snow Grains',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #E5F0FA, #9BB5CE 32%, #7496B8 58%, #527A9E)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #FFFFFF, #F0F9FF 25%, #E0F2FE 55%, #BAE6FD)',
+    },
+    80: {
+      icon: `rainy-2-${dayNight}.svg`,
+      description: 'Light Showers',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #A5C5D8, #5E92B0 35%, #3F789D 60%, #2A5F82)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #D4F3FF, #7DD3FC 30%, #38BDF8 62%, #0EA5E9)',
+    },
+    81: {
+      icon: `rainy-2-${dayNight}.svg`,
+      description: 'Showers',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #8DB3C8, #4D819F 38%, #326A87 65%, #215570)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #B8E8FF, #38BDF8 32%, #0EA5E9 65%, #0284C7)',
+    },
+    82: {
+      icon: `rainy-3-${dayNight}.svg`,
+      description: 'Heavy Showers',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #7BA3B8, #3D6F8A 38%, #295973 65%, #1A455D)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #9CD9F5, #0EA5E9 32%, #0284C7 65%, #0369A1)',
+    },
+    85: {
+      icon: `snowy-2-${dayNight}.svg`,
+      description: 'Light Snow Showers',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #D4E5F3, #85A1BD 35%, #6584A8 60%, #496A8E)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #FAFEFF, #E0F2FE 28%, #BAE6FD 60%, #7DD3FC)',
+    },
+    86: {
+      icon: `snowy-3-${dayNight}.svg`,
+      description: 'Snow Showers',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #BDD8EB, #6F92AE 35%, #4F7593 60%, #365A78)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #F0FAFF, #BAE6FD 30%, #7DD3FC 62%, #38BDF8)',
+    },
+    95: {
+      icon: `scattered-thunderstorms-${dayNight}.svg`,
+      description: 'Thunderstorm',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #8A95A3, #5F6A7A 38%, #475260 65%, #2F3A48)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #C8D1DD, #94A3B8 32%, #64748B 65%, #475569)',
+    },
+    96: {
+      icon: 'severe-thunderstorm.svg',
+      description: 'Thunderstorm + Hail',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #7A8593, #515C6D 38%, #3A4552 65%, #242D3A)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #B0BBC8, #64748B 32%, #475569 65%, #334155)',
+    },
+    99: {
+      icon: 'severe-thunderstorm.svg',
+      description: 'Severe Thunderstorm',
+      gradient: isDarkMode
+        ? 'radial-gradient(ellipse 150% 100% at 50% 100%, #6A7583, #434E5D 40%, #2F3A47 68%, #1C2530)'
+        : 'radial-gradient(ellipse 150% 100% at 50% 100%, #9BA8B8, #475569 35%, #334155 68%, #1E293B)',
+    },
+  };
+
+  return weatherMap[code] || weatherMap[0];
+};
+
+const Weather = ({
+  location,
+  current,
+  daily,
+  timezone,
+}: WeatherWidgetProps) => {
+  const [isDarkMode, setIsDarkMode] = useState(false);
+
+  useEffect(() => {
+    const checkDarkMode = () => {
+      setIsDarkMode(document.documentElement.classList.contains('dark'));
+    };
+
+    checkDarkMode();
+
+    const observer = new MutationObserver(checkDarkMode);
+    observer.observe(document.documentElement, {
+      attributes: true,
+      attributeFilter: ['class'],
+    });
+
+    return () => observer.disconnect();
+  }, []);
+
+  const weatherInfo = useMemo(
+    () =>
+      getWeatherInfo(
+        current?.weather_code || 0,
+        current?.is_day === 1,
+        isDarkMode,
+      ),
+    [current?.weather_code, current?.is_day, isDarkMode],
+  );
+
+  const forecast = useMemo(() => {
+    if (!daily?.time || daily.time.length === 0) return [];
+
+    return daily.time.slice(1, 7).map((time, idx) => {
+      const date = new Date(time);
+      const dayName = date.toLocaleDateString('en-US', { weekday: 'short' });
+      const isDay = true;
+      const weatherCode = daily.weather_code[idx + 1];
+      const info = getWeatherInfo(weatherCode, isDay, isDarkMode);
+
+      return {
+        day: dayName,
+        icon: info.icon,
+        high: Math.round(daily.temperature_2m_max[idx + 1]),
+        low: Math.round(daily.temperature_2m_min[idx + 1]),
+        highF: Math.round((daily.temperature_2m_max[idx + 1] * 9) / 5 + 32),
+        lowF: Math.round((daily.temperature_2m_min[idx + 1] * 9) / 5 + 32),
+        precipitation: daily.precipitation_probability_max[idx + 1] || 0,
+      };
+    });
+  }, [daily, isDarkMode]);
+
+  if (!current || !daily || !daily.time || daily.time.length === 0) {
+    return (
+      <div className="relative overflow-hidden rounded-lg shadow-md bg-gray-200 dark:bg-gray-800">
+        <div className="p-4 text-black dark:text-white">
+          <p className="text-sm">Weather data unavailable for {location}</p>
+        </div>
+      </div>
+    );
+  }
+
+  return (
+    <div className="relative overflow-hidden rounded-lg shadow-md">
+      <div
+        className="absolute inset-0"
+        style={{
+          background: weatherInfo.gradient,
+        }}
+      />
+
+      <div className="relative p-4 text-gray-800 dark:text-white">
+        <div className="flex items-start justify-between mb-3">
+          <div className="flex items-center gap-3">
+            <img
+              src={`/weather-ico/${weatherInfo.icon}`}
+              alt={weatherInfo.description}
+              className="w-16 h-16 drop-shadow-lg"
+            />
+            <div>
+              <div className="flex items-baseline gap-1">
+                <span className="text-4xl font-bold drop-shadow-md">
+                  {Math.round(current.temperature_2m)}°
+                </span>
+                <span className="text-lg">F C</span>
+              </div>
+              <p className="text-sm font-medium drop-shadow mt-0.5">
+                {weatherInfo.description}
+              </p>
+            </div>
+          </div>
+          <div className="text-right">
+            <p className="text-xs font-medium opacity-90">
+              {Math.round(daily.temperature_2m_max[0])}°{' '}
+              {Math.round(daily.temperature_2m_min[0])}°
+            </p>
+          </div>
+        </div>
+
+        <div className="mb-3 pb-3 border-b border-gray-800/20 dark:border-white/20">
+          <h3 className="text-base font-semibold drop-shadow-md">{location}</h3>
+          <p className="text-xs text-gray-700 dark:text-white/80 drop-shadow mt-0.5">
+            {new Date(current.time).toLocaleString('en-US', {
+              weekday: 'short',
+              hour: 'numeric',
+              minute: '2-digit',
+            })}
+          </p>
+        </div>
+
+        <div className="grid grid-cols-6 gap-2 mb-3 pb-3 border-b border-gray-800/20 dark:border-white/20">
+          {forecast.map((day, idx) => (
+            <div
+              key={idx}
+              className="flex flex-col items-center bg-gray-800/10 dark:bg-white/10 backdrop-blur-sm rounded-md p-2"
+            >
+              <p className="text-xs font-medium mb-1">{day.day}</p>
+              <img
+                src={`/weather-ico/${day.icon}`}
+                alt=""
+                className="w-8 h-8 mb-1"
+              />
+              <div className="flex items-center gap-1 text-xs">
+                <span className="font-semibold">{day.high}°</span>
+                <span className="text-gray-600 dark:text-white/60">
+                  {day.low}°
+                </span>
+              </div>
+              {day.precipitation > 0 && (
+                <div className="flex items-center gap-0.5 mt-1">
+                  <Droplets className="w-3 h-3 text-gray-600 dark:text-white/70" />
+                  <span className="text-[10px] text-gray-600 dark:text-white/70">
+                    {day.precipitation}%
+                  </span>
+                </div>
+              )}
+            </div>
+          ))}
+        </div>
+
+        <div className="grid grid-cols-3 gap-2 text-xs">
+          <div className="flex items-center gap-2 bg-gray-800/10 dark:bg-white/10 backdrop-blur-sm rounded-md p-2">
+            <Wind className="w-4 h-4 text-gray-700 dark:text-white/80 flex-shrink-0" />
+            <div>
+              <p className="text-[10px] text-gray-600 dark:text-white/70">
+                Wind
+              </p>
+              <p className="font-semibold">
+                {Math.round(current.wind_speed_10m)} km/h
+              </p>
+            </div>
+          </div>
+
+          <div className="flex items-center gap-2 bg-gray-800/10 dark:bg-white/10 backdrop-blur-sm rounded-md p-2">
+            <Droplets className="w-4 h-4 text-gray-700 dark:text-white/80 flex-shrink-0" />
+            <div>
+              <p className="text-[10px] text-gray-600 dark:text-white/70">
+                Humidity
+              </p>
+              <p className="font-semibold">
+                {Math.round(current.relative_humidity_2m)}%
+              </p>
+            </div>
+          </div>
+
+          <div className="flex items-center gap-2 bg-gray-800/10 dark:bg-white/10 backdrop-blur-sm rounded-md p-2">
+            <Gauge className="w-4 h-4 text-gray-700 dark:text-white/80 flex-shrink-0" />
+            <div>
+              <p className="text-[10px] text-gray-600 dark:text-white/70">
+                Feels Like
+              </p>
+              <p className="font-semibold">
+                {Math.round(current.apparent_temperature)}°C
+              </p>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Weather;
--- a/src/lib/actions.ts
+++ b/src/lib/actions.ts
@@ -1,6 +1,14 @@
 import { Message } from '@/components/ChatWindow';

-export const getSuggestions = async (chatHistory: Message[]) => {
+export const getSuggestions = async (chatHistory: [string, string][]) => {
+  const chatTurns = chatHistory.map(([role, content]) => {
+    if (role === 'human') {
+      return { role: 'user', content };
+    } else {
+      return { role: 'assistant', content };
+    }
+  });
+
  const chatModel = localStorage.getItem('chatModelKey');
  const chatModelProvider = localStorage.getItem('chatModelProviderId');

@@ -10,7 +18,7 @@ export const getSuggestions = async (chatHistory: Message[]) => {
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
-      chatHistory: chatHistory,
+      chatHistory: chatTurns,
      chatModel: {
        providerId: chatModelProvider,
        key: chatModel,
--- a/src/lib/agents/media/image.ts
+++ b/src/lib/agents/media/image.ts
@@ -0,0 +1,66 @@
+/* I don't think can be classified as agents but to keep the structure consistent i guess ill keep it here */
+
+import { searchSearxng } from '@/lib/searxng';
+import {
+  imageSearchFewShots,
+  imageSearchPrompt,
+} from '@/lib/prompts/media/image';
+import BaseLLM from '@/lib/models/base/llm';
+import z from 'zod';
+import { ChatTurnMessage } from '@/lib/types';
+import formatChatHistoryAsString from '@/lib/utils/formatHistory';
+
+type ImageSearchChainInput = {
+  chatHistory: ChatTurnMessage[];
+  query: string;
+};
+
+type ImageSearchResult = {
+  img_src: string;
+  url: string;
+  title: string;
+};
+
+const searchImages = async (
+  input: ImageSearchChainInput,
+  llm: BaseLLM<any>,
+) => {
+  const schema = z.object({
+    query: z.string().describe('The image search query.'),
+  });
+
+  const res = await llm.generateObject<z.infer<typeof schema>>({
+    messages: [
+      {
+        role: 'system',
+        content: imageSearchPrompt,
+      },
+      ...imageSearchFewShots,
+      {
+        role: 'user',
+        content: `<conversation>\n${formatChatHistoryAsString(input.chatHistory)}\n</conversation>\n<follow_up>\n${input.query}\n</follow_up>`,
+      },
+    ],
+    schema: schema,
+  });
+
+  const searchRes = await searchSearxng(res.query, {
+    engines: ['bing images', 'google images'],
+  });
+
+  const images: ImageSearchResult[] = [];
+
+  searchRes.results.forEach((result) => {
+    if (result.img_src && result.url && result.title) {
+      images.push({
+        img_src: result.img_src,
+        url: result.url,
+        title: result.title,
+      });
+    }
+  });
+
+  return images.slice(0, 10);
+};
+
+export default searchImages;
--- a/src/lib/agents/media/video.ts
+++ b/src/lib/agents/media/video.ts
@@ -0,0 +1,66 @@
+import formatChatHistoryAsString from '@/lib/utils/formatHistory';
+import { searchSearxng } from '@/lib/searxng';
+import {
+  videoSearchFewShots,
+  videoSearchPrompt,
+} from '@/lib/prompts/media/videos';
+import { ChatTurnMessage } from '@/lib/types';
+import BaseLLM from '@/lib/models/base/llm';
+import z from 'zod';
+
+type VideoSearchChainInput = {
+  chatHistory: ChatTurnMessage[];
+  query: string;
+};
+
+type VideoSearchResult = {
+  img_src: string;
+  url: string;
+  title: string;
+  iframe_src: string;
+};
+
+const searchVideos = async (
+  input: VideoSearchChainInput,
+  llm: BaseLLM<any>,
+) => {
+  const schema = z.object({
+    query: z.string().describe('The video search query.'),
+  });
+
+  const res = await llm.generateObject<z.infer<typeof schema>>({
+    messages: [
+      {
+        role: 'system',
+        content: videoSearchPrompt,
+      },
+      ...videoSearchFewShots,
+      {
+        role: 'user',
+        content: `<conversation>\n${formatChatHistoryAsString(input.chatHistory)}\n</conversation>\n<follow_up>\n${input.query}\n</follow_up>`,
+      },
+    ],
+    schema: schema,
+  });
+
+  const searchRes = await searchSearxng(res.query, {
+    engines: ['youtube'],
+  });
+
+  const videos: VideoSearchResult[] = [];
+
+  searchRes.results.forEach((result) => {
+    if (result.thumbnail && result.url && result.title && result.iframe_src) {
+      videos.push({
+        img_src: result.thumbnail,
+        url: result.url,
+        title: result.title,
+        iframe_src: result.iframe_src,
+      });
+    }
+  });
+
+  return videos.slice(0, 10);
+};
+
+export default searchVideos;
--- a/src/lib/agents/search/classifier/index.ts
+++ b/src/lib/agents/search/classifier/index.ts
@@ -0,0 +1,73 @@
+import z from 'zod';
+import { ClassifierInput, ClassifierOutput } from '../types';
+import { WidgetRegistry } from '../widgets';
+import { IntentRegistry } from './intents';
+import { getClassifierPrompt } from '@/lib/prompts/search/classifier';
+import formatChatHistoryAsString from '@/lib/utils/formatHistory';
+
+class Classifier {
+  async classify(input: ClassifierInput): Promise<ClassifierOutput> {
+    const availableIntents = IntentRegistry.getAvailableIntents({
+      sources: input.enabledSources,
+    });
+
+    const availableWidgets = WidgetRegistry.getAll();
+
+    const classificationSchema = z.object({
+      skipSearch: z
+        .boolean()
+        .describe(
+          'Set to true to SKIP search. Skip ONLY when: (1) widgets alone fully answer the query (e.g., weather, stocks, calculator), (2) simple greetings or writing tasks (NOT questions). Set to false for ANY question or information request.',
+        ),
+      standaloneFollowUp: z
+        .string()
+        .describe(
+          "A self-contained, context-independent reformulation of the user's question. Must include all necessary context from chat history, replace pronouns with specific nouns, and be clear enough to answer without seeing the conversation. Keep the same complexity as the original question.",
+        ),
+      intents: z
+        .array(z.enum(availableIntents.map((i) => i.name)))
+        .describe(
+          "The intent(s) that best describe how to fulfill the user's query. Can include multiple intents (e.g., ['web_search', 'widget_response'] for 'weather in NYC and recent news'). Always include at least one intent when applicable.",
+        ),
+      widgets: z
+        .array(z.union(availableWidgets.map((w) => w.schema)))
+        .describe(
+          'Widgets that can display structured data to answer (fully or partially) the query. Include all applicable widgets regardless of skipSearch value.',
+        ),
+    });
+
+    const classifierPrompt = getClassifierPrompt({
+      intentDesc: IntentRegistry.getDescriptions({
+        sources: input.enabledSources,
+      }),
+      widgetDesc: WidgetRegistry.getDescriptions(),
+    });
+
+    const res = await input.llm.generateObject<
+      z.infer<typeof classificationSchema>
+    >({
+      messages: [
+        {
+          role: 'system',
+          content: classifierPrompt,
+        },
+        {
+          role: 'user',
+          content: `<conversation>${formatChatHistoryAsString(input.chatHistory)}</conversation>\n\n<query>${input.query}</query>`,
+        },
+      ],
+      schema: classificationSchema,
+    });
+
+    res.widgets = res.widgets.map((widgetConfig) => {
+      return {
+        type: widgetConfig.type,
+        params: widgetConfig,
+      };
+    });
+
+    return res as ClassifierOutput;
+  }
+}
+
+export default Classifier;
--- a/src/lib/agents/search/classifier/intents/academicSearch.ts
+++ b/src/lib/agents/search/classifier/intents/academicSearch.ts
@@ -0,0 +1,52 @@
+import { Intent } from '../../types';
+
+const description = `Use this intent to search for scholarly articles, research papers, scientific studies, and academic resources when the user explicitly requests credible, peer-reviewed, or authoritative information from academic sources.
+
+#### When to use:
+1. User explicitly mentions academic keywords: research papers, scientific studies, scholarly articles, peer-reviewed, journal articles.
+2. User asks for scientific evidence or academic research on a topic.
+3. User needs authoritative, citation-worthy sources for research or academic purposes.
+
+#### When NOT to use:
+1. General questions that don't specifically request academic sources - use 'web_search' instead.
+2. User just wants general information without specifying academic sources.
+3. Casual queries about facts or current events.
+
+#### Example use cases:
+1. "Find scientific papers on climate change effects"
+   - User explicitly wants scientific papers.
+   - Intent: ['academic_search'] with skipSearch: false
+
+2. "What does the research say about meditation benefits?"
+   - User is asking for research-based information.
+   - Intent: ['academic_search', 'web_search'] with skipSearch: false
+
+3. "Show me peer-reviewed articles on CRISPR technology"
+   - User specifically wants peer-reviewed academic content.
+   - Intent: ['academic_search'] with skipSearch: false
+
+4. "I need scholarly sources about renewable energy for my thesis"
+   - User explicitly needs scholarly/academic sources.
+   - Intent: ['academic_search'] with skipSearch: false
+
+5. "Explain quantum computing" (WRONG to use academic_search alone)
+   - This is a general question, not specifically requesting academic papers.
+   - Correct intent: ['web_search'] with skipSearch: false
+   - Could combine: ['web_search', 'academic_search'] if you want both general and academic sources
+
+6. "What's the latest study on sleep patterns?"
+   - User mentions "study" - combine academic and web search for comprehensive results.
+   - Intent: ['academic_search', 'web_search'] with skipSearch: false
+
+**IMPORTANT**: This intent can be combined with 'web_search' to provide both academic papers and general web information. Always set skipSearch to false when using this intent.
+
+**NOTE**: This intent is only available if academic search sources are enabled in the configuration.`;
+
+const academicSearchIntent: Intent = {
+  name: 'academic_search',
+  description,
+  requiresSearch: true,
+  enabled: (config) => config.sources.includes('academic'),
+};
+
+export default academicSearchIntent;
--- a/src/lib/agents/search/classifier/intents/discussionSearch.ts
+++ b/src/lib/agents/search/classifier/intents/discussionSearch.ts
@@ -0,0 +1,55 @@
+import { Intent } from '../../types';
+
+const description = `Use this intent to search through discussion forums, community boards, and social platforms (Reddit, forums, etc.) when the user explicitly wants opinions, personal experiences, community discussions, or crowd-sourced information.
+
+#### When to use:
+1. User explicitly mentions: Reddit, forums, discussion boards, community opinions, "what do people think", "user experiences".
+2. User is asking for opinions, reviews, or personal experiences about a product, service, or topic.
+3. User wants to know what communities or people are saying about something.
+
+#### When NOT to use:
+1. General questions that don't specifically ask for opinions or discussions - use 'web_search' instead.
+2. User wants factual information or official sources.
+3. Casual queries about facts, news, or current events without requesting community input.
+
+#### Example use cases:
+1. "What do people on Reddit think about the new iPhone?"
+   - User explicitly wants Reddit/community opinions.
+   - Intent: ['discussions_search'] with skipSearch: false
+
+2. "User experiences with Tesla Model 3"
+   - User is asking for personal experiences from users.
+   - Intent: ['discussions_search'] with skipSearch: false
+
+3. "Best gaming laptop according to forums"
+   - User wants forum/community recommendations.
+   - Intent: ['discussions_search'] with skipSearch: false
+
+4. "What are people saying about the new AI regulations?"
+   - User wants community discussions/opinions.
+   - Intent: ['discussions_search', 'web_search'] with skipSearch: false
+
+5. "Reviews and user opinions on the Framework laptop"
+   - Combines user opinions with general reviews.
+   - Intent: ['discussions_search', 'web_search'] with skipSearch: false
+
+6. "What's the price of iPhone 15?" (WRONG to use discussions_search)
+   - This is a factual question, not asking for opinions.
+   - Correct intent: ['web_search'] with skipSearch: false
+
+7. "Explain how OAuth works" (WRONG to use discussions_search)
+   - This is asking for information, not community opinions.
+   - Correct intent: ['web_search'] with skipSearch: false
+
+**IMPORTANT**: This intent can be combined with 'web_search' to provide both community discussions and official/factual information. Always set skipSearch to false when using this intent.
+
+**NOTE**: This intent is only available if discussion search sources are enabled in the configuration.`;
+
+const discussionSearchIntent: Intent = {
+  name: 'discussions_search',
+  description,
+  requiresSearch: true,
+  enabled: (config) => config.sources.includes('discussions'),
+};
+
+export default discussionSearchIntent;
--- a/src/lib/agents/search/classifier/intents/index.ts
+++ b/src/lib/agents/search/classifier/intents/index.ts
@@ -0,0 +1,16 @@
+import academicSearchIntent from './academicSearch';
+import discussionSearchIntent from './discussionSearch';
+import privateSearchIntent from './privateSearch';
+import IntentRegistry from './registry';
+import webSearchIntent from './webSearch';
+import widgetResponseIntent from './widgetResponse';
+import writingTaskIntent from './writingTask';
+
+IntentRegistry.register(webSearchIntent);
+IntentRegistry.register(academicSearchIntent);
+IntentRegistry.register(discussionSearchIntent);
+IntentRegistry.register(widgetResponseIntent);
+IntentRegistry.register(writingTaskIntent);
+IntentRegistry.register(privateSearchIntent);
+
+export { IntentRegistry };
--- a/src/lib/agents/search/classifier/intents/privateSearch.ts
+++ b/src/lib/agents/search/classifier/intents/privateSearch.ts
@@ -0,0 +1,47 @@
+import { Intent } from '../../types';
+
+const description = `Use this intent to search through the user's uploaded documents or provided web page links when they ask questions about their personal files or specific URLs.
+
+#### When to use:
+1. User explicitly asks about uploaded documents ("tell me about the document I uploaded", "summarize this file").
+2. User provides specific URLs/links and asks questions about them ("tell me about example.com", "what's on this page: url.com").
+3. User references "my documents", "the file I shared", "this link" when files or URLs are available.
+
+#### When NOT to use:
+1. User asks generic questions like "summarize" without providing context or files (later the system will ask what they want summarized).
+2. No files have been uploaded and no URLs provided - use web_search or other intents instead.
+3. User is asking general questions unrelated to their uploaded content.
+
+#### Example use cases:
+1. "Tell me about the PDF I uploaded"
+   - Files are uploaded, user wants information from them.
+   - Intent: ['private_search'] with skipSearch: false
+
+2. "What's the main point from example.com?"
+   - User provided a specific URL to analyze.
+   - Intent: ['private_search'] with skipSearch: false
+
+3. "Summarize the research paper I shared"
+   - User references a shared document.
+   - Intent: ['private_search'] with skipSearch: false
+
+4. "Summarize" (WRONG to use private_search if no files/URLs)
+   - No context provided, no files uploaded.
+   - Correct: Skip this intent, let the answer agent ask what to summarize
+
+5. "What does my document say about climate change and also search the web for recent updates?"
+   - Combine private document search with web search.
+   - Intent: ['private_search', 'web_search'] with skipSearch: false
+
+**IMPORTANT**: Only use this intent if files are actually uploaded or URLs are explicitly provided in the query. Check the context for uploaded files before selecting this intent. Always set skipSearch to false when using this intent.
+
+**NOTE**: This intent can be combined with other search intents when the user wants both personal document information and external sources.`;
+
+const privateSearchIntent: Intent = {
+  name: 'private_search',
+  description,
+  enabled: (config) => true,
+  requiresSearch: true,
+};
+
+export default privateSearchIntent;
--- a/src/lib/agents/search/classifier/intents/registry.ts
+++ b/src/lib/agents/search/classifier/intents/registry.ts
@@ -0,0 +1,31 @@
+import { Intent, SearchAgentConfig, SearchSources } from '../../types';
+
+class IntentRegistry {
+  private static intents = new Map<string, Intent>();
+
+  static register(intent: Intent) {
+    this.intents.set(intent.name, intent);
+  }
+
+  static get(name: string): Intent | undefined {
+    return this.intents.get(name);
+  }
+
+  static getAvailableIntents(config: { sources: SearchSources[] }): Intent[] {
+    return Array.from(
+      this.intents.values().filter((intent) => intent.enabled(config)),
+    );
+  }
+
+  static getDescriptions(config: { sources: SearchSources[] }): string {
+    const availableintents = this.getAvailableIntents(config);
+
+    return availableintents
+      .map(
+        (intent) => `-------\n\n###${intent.name}: ${intent.description}\n\n`,
+      )
+      .join('\n\n');
+  }
+}
+
+export default IntentRegistry;
--- a/src/lib/agents/search/classifier/intents/webSearch.ts
+++ b/src/lib/agents/search/classifier/intents/webSearch.ts
@@ -0,0 +1,31 @@
+import { Intent } from '../../types';
+
+const description = `
+Use this intent to find current information from the web when the user is asking a question or needs up-to-date information that cannot be provided by widgets or other intents. 
+
+#### When to use:
+1. Simple user questions about current events, news, weather, or general knowledge that require the latest information and there is no specific better intent to use.
+2. When the user explicitly requests information from the web or indicates they want the most recent data (and still there's no other better intent).
+3. When no widgets can fully satisfy the user's request for information nor any other specialized search intent applies.
+
+#### Examples use cases:
+1. "What is the weather in San Francisco today? ALso tell me some popular events happening there this weekend."
+    - In this case, the weather widget can provide the current weather, but for popular events, a web search is needed. So the intent should include a 'web_search' & a 'widget_response'.
+
+2. "Who won the Oscar for Best Picture in 2024?"
+    - This is a straightforward question that requires current information from the web.
+
+3. "Give me the latest news on AI regulations."
+    - The user is asking for up-to-date news, which necessitates a web search.
+
+**IMPORTANT**: If this intent is given then skip search should be false.
+`;
+
+const webSearchIntent: Intent = {
+  name: 'web_search',
+  description: description,
+  requiresSearch: true,
+  enabled: (config) => config.sources.includes('web'),
+};
+
+export default webSearchIntent;
--- a/src/lib/agents/search/classifier/intents/widgetResponse.ts
+++ b/src/lib/agents/search/classifier/intents/widgetResponse.ts
@@ -0,0 +1,47 @@
+import { Intent } from '../../types';
+
+const description = `Use this intent when the user's query can be fully or partially answered using specialized widgets that provide structured, real-time data (weather, stocks, calculations, and more).
+
+#### When to use:
+1. The user is asking for specific information that a widget can provide (current weather, stock prices, mathematical calculations, unit conversions, etc.).
+2. A widget can completely answer the query without needing additional web search (use this intent alone and set skipSearch to true).
+3. A widget can provide part of the answer, but additional information from web search or other sources is needed (combine with other intents like 'web_search' and set skipSearch to false).
+
+#### Example use cases:
+Note: These are just examples - there are several other widgets available for use depending on the user's query.
+
+1. "What is the weather in New York?"
+   - The weather widget can fully answer this query.
+   - Intent: ['widget_response'] with skipSearch: true
+   - Widget: [{ type: 'weather', location: 'New York', lat: 0, lon: 0 }]
+
+2. "What's the weather in San Francisco today? Also tell me some popular events happening there this weekend."
+   - Weather widget provides current conditions, but events require web search.
+   - Intent: ['web_search', 'widget_response'] with skipSearch: false
+   - Widget: [{ type: 'weather', location: 'San Francisco', lat: 0, lon: 0 }]
+
+3. "Calculate 25% of 480"
+   - The calculator widget can fully answer this.
+   - Intent: ['widget_response'] with skipSearch: true
+    - Widget: [{ type: 'calculator', expression: '25% of 480' }] 
+
+4. "AAPL stock price and recent Apple news"
+   - Stock widget provides price, but news requires web search.
+   - Intent: ['web_search', 'widget_response'] with skipSearch: false
+    - Widget: [{ type: 'stock', symbol: 'AAPL' }]
+
+5. "What's Tesla's stock doing and how does it compare to competitors?"
+   - Stock widget provides Tesla's price, but comparison analysis requires web search.
+   - Intent: ['web_search', 'widget_response'] with skipSearch: false
+  - Widget: [{ type: 'stock', symbol: 'TSLA' }]
+
+**IMPORTANT**: Set skipSearch to true ONLY if the widget(s) can completely answer the user's query without any additional information. If the user asks for anything beyond what the widget provides (context, explanations, comparisons, related information), combine this intent with 'web_search' and set skipSearch to false.`;
+
+const widgetResponseIntent: Intent = {
+  name: 'widget_response',
+  description,
+  requiresSearch: false,
+  enabled: (config) => true,
+};
+
+export default widgetResponseIntent;
--- a/src/lib/agents/search/classifier/intents/writingTask.ts
+++ b/src/lib/agents/search/classifier/intents/writingTask.ts
@@ -0,0 +1,53 @@
+import { Intent } from '../../types';
+
+const description = `Use this intent for simple writing or greeting tasks that do not require any external information or facts. This is ONLY for greetings and straightforward creative writing that needs no factual verification.
+
+#### When to use:
+1. User greetings or simple social interactions (hello, hi, thanks, goodbye).
+2. Creative writing tasks that require NO factual information (poems, birthday messages, thank you notes).
+3. Simple drafting tasks where the user provides all necessary information.
+
+#### When NOT to use:
+1. ANY question that starts with "what", "how", "why", "when", "where", "who" - these need web_search.
+2. Requests for explanations, definitions, or information about anything.
+3. Code-related questions or technical help - these need web_search.
+4. Writing tasks that require facts, data, or current information.
+5. When you're uncertain about any information needed - default to web_search.
+
+#### Example use cases:
+1. "Hello" or "Hi there"
+   - Simple greeting, no information needed.
+   - Intent: ['writing_task'] with skipSearch: true
+
+2. "Write me a birthday message for my friend"
+   - Creative writing, no facts needed.
+   - Intent: ['writing_task'] with skipSearch: true
+
+3. "Draft a thank you email for a job interview"
+   - Simple writing task, no external information required.
+   - Intent: ['writing_task'] with skipSearch: true
+
+4. "What is React?" (WRONG to use writing_task)
+   - This is a QUESTION asking for information.
+   - Correct intent: ['web_search'] with skipSearch: false
+
+5. "How do I fix this error in Python?" (WRONG to use writing_task)
+   - This is asking for technical help.
+   - Correct intent: ['web_search'] with skipSearch: false
+
+6. "Write an email about the latest AI developments" (WRONG to use writing_task alone)
+   - This requires current information about AI developments.
+   - Correct intent: ['web_search'] with skipSearch: false
+
+**CRITICAL RULE**: When in doubt, DO NOT use this intent. Default to web_search. This intent should be rare - only use it for greetings and purely creative writing tasks that need absolutely no facts or information.
+
+**IMPORTANT**: If this intent is used alone, skipSearch should be true. Never combine this with other search intents unless you're absolutely certain both are needed.`;
+
+const writingTaskIntent: Intent = {
+  name: 'writing_task',
+  description,
+  requiresSearch: false,
+  enabled: (config) => true,
+};
+
+export default writingTaskIntent;
--- a/src/lib/agents/search/index.ts
+++ b/src/lib/agents/search/index.ts
@@ -0,0 +1,104 @@
+import { ResearcherOutput, SearchAgentInput } from './types';
+import SessionManager from '@/lib/session';
+import Classifier from './classifier';
+import { WidgetRegistry } from './widgets';
+import Researcher from './researcher';
+import { getWriterPrompt } from '@/lib/prompts/search/writer';
+import fs from 'fs';
+
+class SearchAgent {
+  async searchAsync(session: SessionManager, input: SearchAgentInput) {
+    const classifier = new Classifier();
+
+    const classification = await classifier.classify({
+      chatHistory: input.chatHistory,
+      enabledSources: input.config.sources,
+      query: input.followUp,
+      llm: input.config.llm,
+    });
+
+    const widgetPromise = WidgetRegistry.executeAll(classification.widgets, {
+      llm: input.config.llm,
+      embedding: input.config.embedding,
+      session: session,
+    }).then((widgetOutputs) => {
+      widgetOutputs.forEach((o) => {
+        session.emitBlock({
+          id: crypto.randomUUID(),
+          type: 'widget',
+          data: {
+            widgetType: o.type,
+            params: o.data,
+          },
+        });
+      });
+      return widgetOutputs;
+    });
+
+    let searchPromise: Promise<ResearcherOutput> | null = null;
+
+    if (!classification.skipSearch) {
+      const researcher = new Researcher();
+      searchPromise = researcher.research(session, {
+        chatHistory: input.chatHistory,
+        followUp: input.followUp,
+        classification: classification,
+        config: input.config,
+      });
+    }
+
+    const [widgetOutputs, searchResults] = await Promise.all([
+      widgetPromise,
+      searchPromise,
+    ]);
+
+    session.emit('data', {
+      type: 'researchComplete',
+    });
+
+    const finalContext =
+      searchResults?.findings
+        .filter((f) => f.type === 'search_results')
+        .flatMap((f) => f.results)
+        .map((f) => `${f.metadata.title}: ${f.content}`)
+        .join('\n') || '';
+
+    const widgetContext = widgetOutputs
+      .map((o) => {
+        return `${o.type}: ${o.llmContext}`;
+      })
+      .join('\n-------------\n');
+
+    const finalContextWithWidgets = `<search_results note="These are the search results and you can cite these">${finalContext}</search_results>\n<widgets_result noteForAssistant="Its output is already showed to the user, you can use this information to answer the query but do not CITE this as a souce">${widgetContext}</widgets_result>`;
+
+    const writerPrompt = getWriterPrompt(finalContextWithWidgets);
+    const answerStream = input.config.llm.streamText({
+      messages: [
+        {
+          role: 'system',
+          content: writerPrompt,
+        },
+        ...input.chatHistory,
+        {
+          role: 'user',
+          content: input.followUp,
+        },
+      ],
+    });
+
+    let accumulatedText = '';
+
+    for await (const chunk of answerStream) {
+      accumulatedText += chunk.contentChunk;
+
+      session.emit('data', {
+        type: 'response',
+        data: chunk.contentChunk,
+      });
+    }
+
+    session.emit('end', {});
+  }
+}
+
+export default SearchAgent;
--- a/src/lib/agents/search/researcher/actions/done.ts
+++ b/src/lib/agents/search/researcher/actions/done.ts
@@ -0,0 +1,19 @@
+import z from 'zod';
+import { ResearchAction } from '../../types';
+
+const doneAction: ResearchAction<any> = {
+  name: 'done',
+  description:
+    "Indicates that the research process is complete and no further actions are needed. Use this action when you have gathered sufficient information to answer the user's query.",
+  enabled: (_) => true,
+  schema: z.object({
+    type: z.literal('done'),
+  }),
+  execute: async (params, additionalConfig) => {
+    return {
+      type: 'done',
+    };
+  },
+};
+
+export default doneAction;
--- a/src/lib/agents/search/researcher/actions/index.ts
+++ b/src/lib/agents/search/researcher/actions/index.ts
@@ -0,0 +1,8 @@
+import doneAction from './done';
+import ActionRegistry from './registry';
+import webSearchAction from './webSearch';
+
+ActionRegistry.register(webSearchAction);
+ActionRegistry.register(doneAction);
+
+export { ActionRegistry };
--- a/src/lib/agents/search/researcher/actions/registry.ts
+++ b/src/lib/agents/search/researcher/actions/registry.ts
@@ -0,0 +1,73 @@
+import {
+  ActionConfig,
+  ActionOutput,
+  AdditionalConfig,
+  ClassifierOutput,
+  ResearchAction,
+} from '../../types';
+
+class ActionRegistry {
+  private static actions: Map<string, ResearchAction> = new Map();
+
+  static register(action: ResearchAction<any>) {
+    this.actions.set(action.name, action);
+  }
+
+  static get(name: string): ResearchAction | undefined {
+    return this.actions.get(name);
+  }
+
+  static getAvailableActions(config: {
+    classification: ClassifierOutput;
+  }): ResearchAction[] {
+    return Array.from(
+      this.actions.values().filter((action) => action.enabled(config)),
+    );
+  }
+
+  static getAvailableActionsDescriptions(config: {
+    classification: ClassifierOutput;
+  }): string {
+    const availableActions = this.getAvailableActions(config);
+
+    return availableActions
+      .map((action) => `------------\n##${action.name}\n${action.description}`)
+      .join('\n\n');
+  }
+
+  static async execute(
+    name: string,
+    params: any,
+    additionalConfig: AdditionalConfig,
+  ) {
+    const action = this.actions.get(name);
+
+    if (!action) {
+      throw new Error(`Action with name ${name} not found`);
+    }
+
+    return action.execute(params, additionalConfig);
+  }
+
+  static async executeAll(
+    actions: ActionConfig[],
+    additionalConfig: AdditionalConfig,
+  ): Promise<ActionOutput[]> {
+    const results: ActionOutput[] = [];
+
+    await Promise.all(
+      actions.map(async (actionConfig) => {
+        const output = await this.execute(
+          actionConfig.type,
+          actionConfig.params,
+          additionalConfig,
+        );
+        results.push(output);
+      }),
+    );
+
+    return results;
+  }
+}
+
+export default ActionRegistry;
--- a/src/lib/agents/search/researcher/actions/webSearch.ts
+++ b/src/lib/agents/search/researcher/actions/webSearch.ts
@@ -0,0 +1,56 @@
+import z from 'zod';
+import { ResearchAction } from '../../types';
+import { searchSearxng } from '@/lib/searxng';
+import { Chunk } from '@/lib/types';
+
+const actionSchema = z.object({
+  type: z.literal('web_search'),
+  queries: z
+    .array(z.string())
+    .describe('An array of search queries to perform web searches for.'),
+});
+
+const actionDescription = `
+You have to use this action aggressively to find relevant information from the web to answer user queries. You can combine this action with other actions to gather comprehensive data. Always ensure that you provide accurate and up-to-date information by leveraging web search results.
+When this action is present, you must use it to obtain current information from the web. 
+
+### How to use:
+1. For speed search mode, you can use this action once. Make sure to cover all aspects of the user's query in that single search.
+2. If you're on quality mode, you'll get to use this action up to two times. Use the first search to gather general information, and the second search to fill in any gaps or get more specific details based on the initial findings.
+3. If you're set on quality mode, then you will get to use this action multiple times to gather more information. Use your judgment to decide when additional searches are necessary to provide a thorough and accurate response.
+
+Input: An array of search queries. Make sure the queries are relevant to the user's request and cover different aspects if necessary. You can include a maximum of 3 queries. Make sure the queries are SEO friendly and not sentences rather keywords which can be used to search a search engine like Google, Bing, etc.
+`;
+
+const webSearchAction: ResearchAction<typeof actionSchema> = {
+  name: 'web_search',
+  description: actionDescription,
+  schema: actionSchema,
+  enabled: (config) => config.classification.intents.includes('web_search'),
+  execute: async (input, _) => {
+    let results: Chunk[] = [];
+
+    const search = async (q: string) => {
+      const res = await searchSearxng(q);
+
+      res.results.forEach((r) => {
+        results.push({
+          content: r.content || r.title,
+          metadata: {
+            title: r.title,
+            url: r.url,
+          },
+        });
+      });
+    };
+
+    await Promise.all(input.queries.map(search));
+
+    return {
+      type: 'search_results',
+      results,
+    };
+  },
+};
+
+export default webSearchAction;
--- a/src/lib/agents/search/researcher/index.ts
+++ b/src/lib/agents/search/researcher/index.ts
@@ -0,0 +1,231 @@
+import z from 'zod';
+import {
+  ActionConfig,
+  ActionOutput,
+  ResearcherInput,
+  ResearcherOutput,
+} from '../types';
+import { ActionRegistry } from './actions';
+import { getResearcherPrompt } from '@/lib/prompts/search/researcher';
+import SessionManager from '@/lib/session';
+import { ReasoningResearchBlock } from '@/lib/types';
+import formatChatHistoryAsString from '@/lib/utils/formatHistory';
+
+class Researcher {
+  async research(
+    session: SessionManager,
+    input: ResearcherInput,
+  ): Promise<ResearcherOutput> {
+    let findings: string = '';
+    let actionOutput: ActionOutput[] = [];
+    let maxIteration =
+      input.config.mode === 'speed'
+        ? 1
+        : input.config.mode === 'balanced'
+          ? 3
+          : 25;
+
+    const availableActions = ActionRegistry.getAvailableActions({
+      classification: input.classification,
+    });
+
+    const schema = z.object({
+      reasoning: z
+        .string()
+        .describe('The reasoning behind choosing the next action.'),
+      action: z
+        .union(availableActions.map((a) => a.schema))
+        .describe('The action to be performed next.'),
+    });
+
+    const availableActionsDescription =
+      ActionRegistry.getAvailableActionsDescriptions({
+        classification: input.classification,
+      });
+
+    const researchBlockId = crypto.randomUUID();
+
+    session.emitBlock({
+      id: researchBlockId,
+      type: 'research',
+      data: {
+        subSteps: [],
+      },
+    });
+
+    for (let i = 0; i < maxIteration; i++) {
+      const researcherPrompt = getResearcherPrompt(
+        availableActionsDescription,
+        input.config.mode,
+        i,
+        maxIteration,
+      );
+
+      const actionStream = input.config.llm.streamObject<
+        z.infer<typeof schema>
+      >({
+        messages: [
+          {
+            role: 'system',
+            content: researcherPrompt,
+          },
+          {
+            role: 'user',
+            content: `
+                    <conversation>
+                    ${formatChatHistoryAsString(input.chatHistory.slice(-10))}
+                    User: ${input.followUp} (Standalone question: ${input.classification.standaloneFollowUp})
+                    </conversation>
+
+                    <previous_actions>
+                    ${findings}
+                    </previous_actions>
+                    `,
+          },
+        ],
+        schema,
+      });
+
+      const block = session.getBlock(researchBlockId);
+
+      let reasoningEmitted = false;
+      let reasoningId = crypto.randomUUID();
+
+      let finalActionRes: any;
+
+      for await (const partialRes of actionStream) {
+        try {
+          if (
+            partialRes.reasoning &&
+            !reasoningEmitted &&
+            block &&
+            block.type === 'research'
+          ) {
+            reasoningEmitted = true;
+            block.data.subSteps.push({
+              id: reasoningId,
+              type: 'reasoning',
+              reasoning: partialRes.reasoning,
+            });
+            session.updateBlock(researchBlockId, [
+              {
+                op: 'replace',
+                path: '/data/subSteps',
+                value: block.data.subSteps,
+              },
+            ]);
+          } else if (
+            partialRes.reasoning &&
+            reasoningEmitted &&
+            block &&
+            block.type === 'research'
+          ) {
+            const subStepIndex = block.data.subSteps.findIndex(
+              (step: any) => step.id === reasoningId,
+            );
+            if (subStepIndex !== -1) {
+              const subStep = block.data.subSteps[
+                subStepIndex
+              ] as ReasoningResearchBlock;
+              subStep.reasoning = partialRes.reasoning;
+              session.updateBlock(researchBlockId, [
+                {
+                  op: 'replace',
+                  path: '/data/subSteps',
+                  value: block.data.subSteps,
+                },
+              ]);
+            }
+          }
+
+          finalActionRes = partialRes;
+        } catch (e) {
+          // nothing
+        }
+      }
+
+      if (finalActionRes.action.type === 'done') {
+        break;
+      }
+
+      const actionConfig: ActionConfig = {
+        type: finalActionRes.action.type as string,
+        params: finalActionRes.action,
+      };
+
+      const queries = actionConfig.params.queries || [];
+      if (block && block.type === 'research') {
+        block.data.subSteps.push({
+          id: crypto.randomUUID(),
+          type: 'searching',
+          searching: queries,
+        });
+        session.updateBlock(researchBlockId, [
+          { op: 'replace', path: '/data/subSteps', value: block.data.subSteps },
+        ]);
+      }
+
+      findings += `\n---\nIteration ${i + 1}:\n`;
+      findings += 'Reasoning: ' + finalActionRes.reasoning + '\n';
+      findings += `Executing Action: ${actionConfig.type} with params ${JSON.stringify(actionConfig.params)}\n`;
+
+      const actionResult = await ActionRegistry.execute(
+        actionConfig.type,
+        actionConfig.params,
+        {
+          llm: input.config.llm,
+          embedding: input.config.embedding,
+          session: session,
+        },
+      );
+
+      actionOutput.push(actionResult);
+
+      if (actionResult.type === 'search_results') {
+        if (block && block.type === 'research') {
+          block.data.subSteps.push({
+            id: crypto.randomUUID(),
+            type: 'reading',
+            reading: actionResult.results,
+          });
+          session.updateBlock(researchBlockId, [
+            {
+              op: 'replace',
+              path: '/data/subSteps',
+              value: block.data.subSteps,
+            },
+          ]);
+        }
+
+        findings += actionResult.results
+          .map(
+            (r) =>
+              `Title: ${r.metadata.title}\nURL: ${r.metadata.url}\nContent: ${r.content}\n`,
+          )
+          .join('\n');
+      }
+
+      findings += '\n---------\n';
+    }
+
+    const searchResults = actionOutput.filter(
+      (a) => a.type === 'search_results',
+    );
+
+    session.emit('data', {
+      type: 'sources',
+      data: searchResults
+        .flatMap((a) => a.results)
+        .map((r) => ({
+          content: r.content,
+          metadata: r.metadata,
+        })),
+    });
+
+    return {
+      findings: actionOutput,
+    };
+  }
+}
+
+export default Researcher;
--- a/src/lib/agents/search/types.ts
+++ b/src/lib/agents/search/types.ts
@@ -0,0 +1,108 @@
+import z from 'zod';
+import BaseLLM from '../../models/base/llm';
+import BaseEmbedding from '@/lib/models/base/embedding';
+import SessionManager from '@/lib/session';
+import { ChatTurnMessage, Chunk } from '@/lib/types';
+
+export type SearchSources = 'web' | 'discussions' | 'academic';
+
+export type SearchAgentConfig = {
+  sources: SearchSources[];
+  llm: BaseLLM<any>;
+  embedding: BaseEmbedding<any>;
+  mode: 'speed' | 'balanced' | 'quality';
+};
+
+export type SearchAgentInput = {
+  chatHistory: ChatTurnMessage[];
+  followUp: string;
+  config: SearchAgentConfig;
+};
+
+export interface Intent {
+  name: string;
+  description: string;
+  requiresSearch: boolean;
+  enabled: (config: { sources: SearchSources[] }) => boolean;
+}
+
+export type Widget<TSchema extends z.ZodObject<any> = z.ZodObject<any>> = {
+  name: string;
+  description: string;
+  schema: TSchema;
+  execute: (
+    params: z.infer<TSchema>,
+    additionalConfig: AdditionalConfig,
+  ) => Promise<WidgetOutput>;
+};
+
+export type WidgetConfig = {
+  type: string;
+  params: Record<string, any>;
+};
+
+export type WidgetOutput = {
+  type: string;
+  llmContext: string;
+  data: any;
+};
+
+export type ClassifierInput = {
+  llm: BaseLLM<any>;
+  enabledSources: SearchSources[];
+  query: string;
+  chatHistory: ChatTurnMessage[];
+};
+
+export type ClassifierOutput = {
+  skipSearch: boolean;
+  standaloneFollowUp: string;
+  intents: string[];
+  widgets: WidgetConfig[];
+};
+
+export type AdditionalConfig = {
+  llm: BaseLLM<any>;
+  embedding: BaseEmbedding<any>;
+  session: SessionManager;
+};
+
+export type ResearcherInput = {
+  chatHistory: ChatTurnMessage[];
+  followUp: string;
+  classification: ClassifierOutput;
+  config: SearchAgentConfig;
+};
+
+export type ResearcherOutput = {
+  findings: ActionOutput[];
+};
+
+export type SearchActionOutput = {
+  type: 'search_results';
+  results: Chunk[];
+};
+
+export type DoneActionOutput = {
+  type: 'done';
+};
+
+export type ActionOutput = SearchActionOutput | DoneActionOutput;
+
+export interface ResearchAction<
+  TSchema extends z.ZodObject<any> = z.ZodObject<any>,
+> {
+  name: string;
+  description: string;
+  schema: z.ZodObject<any>;
+  enabled: (config: { classification: ClassifierOutput }) => boolean;
+  execute: (
+    params: z.infer<TSchema>,
+    additionalConfig: AdditionalConfig,
+  ) => Promise<ActionOutput>;
+}
+
+export type ActionConfig = {
+  type: string;
+  params: Record<string, any>;
+};
--- a/src/lib/agents/search/widgets/calculationWidget.ts
+++ b/src/lib/agents/search/widgets/calculationWidget.ts
@@ -0,0 +1,67 @@
+import z from 'zod';
+import { Widget } from '../types';
+import { evaluate as mathEval } from 'mathjs';
+
+const schema = z.object({
+  type: z.literal('calculation'),
+  expression: z
+    .string()
+    .describe(
+      "A valid mathematical expression to be evaluated (e.g., '2 + 2', '3 * (4 + 5)').",
+    ),
+});
+
+const calculationWidget: Widget<typeof schema> = {
+  name: 'calculation',
+  description: `Performs mathematical calculations and evaluates mathematical expressions. Supports arithmetic operations, algebraic equations, functions, and complex mathematical computations.
+
+**What it provides:**
+- Evaluates mathematical expressions and returns computed results
+- Handles basic arithmetic (+, -, *, /)
+- Supports functions (sqrt, sin, cos, log, etc.)
+- Can process complex expressions with parentheses and order of operations
+
+**When to use:**
+- User asks to calculate, compute, or evaluate a mathematical expression
+- Questions like "what is X", "calculate Y", "how much is Z" where X/Y/Z are math expressions
+- Any request involving numbers and mathematical operations
+
+**Example call:**
+{
+  "type": "calculation",
+  "expression": "25% of 480"
+}
+
+{
+  "type": "calculation", 
+  "expression": "sqrt(144) + 5 * 2"
+}
+
+**Important:** The expression must be valid mathematical syntax that can be evaluated by mathjs. Format percentages as "0.25 * 480" or "25% of 480". Do not include currency symbols, units, or non-mathematical text in the expression.`,
+  schema: schema,
+  execute: async (params, _) => {
+    try {
+      const result = mathEval(params.expression);
+
+      return {
+        type: 'calculation_result',
+        llmContext: `The result of the expression "${params.expression}" is ${result}.`,
+        data: {
+          expression: params.expression,
+          result: result,
+        },
+      };
+    } catch (error) {
+      return {
+        type: 'calculation_result',
+        llmContext: 'Failed to evaluate mathematical expression.',
+        data: {
+          expression: params.expression,
+          result: `Error evaluating expression: ${error}`,
+        },
+      };
+    }
+  },
+};
+
+export default calculationWidget;
--- a/src/lib/agents/search/widgets/index.ts
+++ b/src/lib/agents/search/widgets/index.ts
@@ -0,0 +1,10 @@
+import calculationWidget from './calculationWidget';
+import WidgetRegistry from './registry';
+import weatherWidget from './weatherWidget';
+import stockWidget from './stockWidget';
+
+WidgetRegistry.register(weatherWidget);
+WidgetRegistry.register(calculationWidget);
+WidgetRegistry.register(stockWidget);
+
+export { WidgetRegistry };
--- a/src/lib/agents/search/widgets/registry.ts
+++ b/src/lib/agents/search/widgets/registry.ts
@@ -0,0 +1,65 @@
+import {
+  AdditionalConfig,
+  SearchAgentConfig,
+  Widget,
+  WidgetConfig,
+  WidgetOutput,
+} from '../types';
+
+class WidgetRegistry {
+  private static widgets = new Map<string, Widget>();
+
+  static register(widget: Widget<any>) {
+    this.widgets.set(widget.name, widget);
+  }
+
+  static get(name: string): Widget | undefined {
+    return this.widgets.get(name);
+  }
+
+  static getAll(): Widget[] {
+    return Array.from(this.widgets.values());
+  }
+
+  static getDescriptions(): string {
+    return Array.from(this.widgets.values())
+      .map((widget) => `${widget.name}: ${widget.description}`)
+      .join('\n\n');
+  }
+
+  static async execute(
+    name: string,
+    params: any,
+    config: AdditionalConfig,
+  ): Promise<WidgetOutput> {
+    const widget = this.get(name);
+
+    if (!widget) {
+      throw new Error(`Widget with name ${name} not found`);
+    }
+
+    return widget.execute(params, config);
+  }
+
+  static async executeAll(
+    widgets: WidgetConfig[],
+    additionalConfig: AdditionalConfig,
+  ): Promise<WidgetOutput[]> {
+    const results: WidgetOutput[] = [];
+
+    await Promise.all(
+      widgets.map(async (widgetConfig) => {
+        const output = await this.execute(
+          widgetConfig.type,
+          widgetConfig.params,
+          additionalConfig,
+        );
+        results.push(output);
+      }),
+    );
+
+    return results;
+  }
+}
+
+export default WidgetRegistry;
--- a/src/lib/agents/search/widgets/stockWidget.ts
+++ b/src/lib/agents/search/widgets/stockWidget.ts
@@ -0,0 +1,421 @@
+import z from 'zod';
+import { Widget } from '../types';
+import YahooFinance from 'yahoo-finance2';
+
+const yf = new YahooFinance({
+  suppressNotices: ['yahooSurvey'],
+});
+
+const schema = z.object({
+  type: z.literal('stock'),
+  ticker: z
+    .string()
+    .describe(
+      "The stock ticker symbol in uppercase (e.g., 'AAPL' for Apple Inc., 'TSLA' for Tesla, 'GOOGL' for Google). Use the primary exchange ticker.",
+    ),
+  comparisonTickers: z
+    .array(z.string())
+    .max(3)
+    .describe(
+      "Optional array of up to 3 ticker symbols to compare against the base ticker (e.g., ['MSFT', 'GOOGL', 'META']). Charts will show percentage change comparison.",
+    ),
+});
+
+const stockWidget: Widget<typeof schema> = {
+  name: 'stock',
+  description: `Provides comprehensive real-time stock market data and financial information for any publicly traded company. Returns detailed quote data, market status, trading metrics, and company fundamentals.
+
+You can set skipSearch to true if the stock widget can fully answer the user's query without needing additional web search.
+
+**What it provides:**
+- **Real-time Price Data**: Current price, previous close, open price, day's range (high/low)
+- **Market Status**: Whether market is currently open or closed, trading sessions
+- **Trading Metrics**: Volume, average volume, bid/ask prices and sizes
+- **Performance**: Price changes (absolute and percentage), 52-week high/low range
+- **Valuation**: Market capitalization, P/E ratio, earnings per share (EPS)
+- **Dividends**: Dividend rate, dividend yield, ex-dividend date
+- **Company Info**: Full company name, exchange, currency, sector/industry (when available)
+- **Advanced Metrics**: Beta, trailing/forward P/E, book value, price-to-book ratio
+- **Charts Data**: Historical price movements for visualization
+- **Comparison**: Compare up to 3 stocks side-by-side with percentage-based performance visualization
+
+**When to use:**
+- User asks about a stock price ("What's AAPL stock price?", "How is Tesla doing?")
+- Questions about company market performance ("Is Microsoft up or down today?")
+- Requests for stock market data, trading info, or company valuation
+- Queries about dividends, P/E ratio, market cap, or other financial metrics
+- Any stock/equity-related question for a specific company
+- Stock comparisons ("Compare AAPL vs MSFT", "How is TSLA doing vs RIVN and LCID?")
+
+**Example calls:**
+{
+  "type": "stock",
+  "ticker": "AAPL"
+}
+
+{
+  "type": "stock",
+  "ticker": "TSLA",
+  "comparisonTickers": ["RIVN", "LCID"]
+}
+
+{
+  "type": "stock",
+  "ticker": "GOOGL",
+  "comparisonTickers": ["MSFT", "META", "AMZN"]
+}
+
+**Important:** 
+- Use the correct ticker symbol (uppercase preferred: AAPL not aapl)
+- For companies with multiple share classes, use the most common one (e.g., GOOGL for Google Class A shares)
+- The widget works for stocks listed on major exchanges (NYSE, NASDAQ, etc.)
+- Returns comprehensive data; the UI will display relevant metrics based on availability
+- Market data may be delayed by 15-20 minutes for free data sources during trading hours`,
+  schema: schema,
+  execute: async (params, _) => {
+    try {
+      const ticker = params.ticker.toUpperCase();
+
+      const quote: any = await yf.quote(ticker);
+
+      const chartPromises = {
+        '1D': yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 2 * 24 * 60 * 60 * 1000),
+            period2: new Date(),
+            interval: '5m',
+          })
+          .catch(() => null),
+        '5D': yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 6 * 24 * 60 * 60 * 1000),
+            period2: new Date(),
+            interval: '15m',
+          })
+          .catch(() => null),
+        '1M': yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000),
+            interval: '1d',
+          })
+          .catch(() => null),
+        '3M': yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 90 * 24 * 60 * 60 * 1000),
+            interval: '1d',
+          })
+          .catch(() => null),
+        '6M': yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 180 * 24 * 60 * 60 * 1000),
+            interval: '1d',
+          })
+          .catch(() => null),
+        '1Y': yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 365 * 24 * 60 * 60 * 1000),
+            interval: '1d',
+          })
+          .catch(() => null),
+        MAX: yf
+          .chart(ticker, {
+            period1: new Date(Date.now() - 10 * 365 * 24 * 60 * 60 * 1000),
+            interval: '1wk',
+          })
+          .catch(() => null),
+      };
+
+      const charts = await Promise.all([
+        chartPromises['1D'],
+        chartPromises['5D'],
+        chartPromises['1M'],
+        chartPromises['3M'],
+        chartPromises['6M'],
+        chartPromises['1Y'],
+        chartPromises['MAX'],
+      ]);
+
+      const [chart1D, chart5D, chart1M, chart3M, chart6M, chart1Y, chartMAX] =
+        charts;
+
+      if (!quote) {
+        throw new Error(`No data found for ticker: ${ticker}`);
+      }
+
+      let comparisonData: any = null;
+      if (params.comparisonTickers.length > 0) {
+        const comparisonPromises = params.comparisonTickers
+          .slice(0, 3)
+          .map(async (compTicker) => {
+            try {
+              const compQuote = await yf.quote(compTicker);
+              const compCharts = await Promise.all([
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(Date.now() - 2 * 24 * 60 * 60 * 1000),
+                    period2: new Date(),
+                    interval: '5m',
+                  })
+                  .catch(() => null),
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(Date.now() - 6 * 24 * 60 * 60 * 1000),
+                    period2: new Date(),
+                    interval: '15m',
+                  })
+                  .catch(() => null),
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(Date.now() - 30 * 24 * 60 * 60 * 1000),
+                    interval: '1d',
+                  })
+                  .catch(() => null),
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(Date.now() - 90 * 24 * 60 * 60 * 1000),
+                    interval: '1d',
+                  })
+                  .catch(() => null),
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(Date.now() - 180 * 24 * 60 * 60 * 1000),
+                    interval: '1d',
+                  })
+                  .catch(() => null),
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(Date.now() - 365 * 24 * 60 * 60 * 1000),
+                    interval: '1d',
+                  })
+                  .catch(() => null),
+                yf
+                  .chart(compTicker, {
+                    period1: new Date(
+                      Date.now() - 10 * 365 * 24 * 60 * 60 * 1000,
+                    ),
+                    interval: '1wk',
+                  })
+                  .catch(() => null),
+              ]);
+              return {
+                ticker: compTicker,
+                name: compQuote.shortName || compTicker,
+                charts: compCharts,
+              };
+            } catch (error) {
+              console.error(
+                `Failed to fetch comparison ticker ${compTicker}:`,
+                error,
+              );
+              return null;
+            }
+          });
+        const compResults = await Promise.all(comparisonPromises);
+        comparisonData = compResults.filter((r) => r !== null);
+      }
+
+      const stockData = {
+        symbol: quote.symbol,
+        shortName: quote.shortName || quote.longName || ticker,
+        longName: quote.longName,
+        exchange: quote.fullExchangeName || quote.exchange,
+        currency: quote.currency,
+        quoteType: quote.quoteType,
+
+        marketState: quote.marketState,
+        regularMarketTime: quote.regularMarketTime,
+        postMarketTime: quote.postMarketTime,
+        preMarketTime: quote.preMarketTime,
+
+        regularMarketPrice: quote.regularMarketPrice,
+        regularMarketChange: quote.regularMarketChange,
+        regularMarketChangePercent: quote.regularMarketChangePercent,
+        regularMarketPreviousClose: quote.regularMarketPreviousClose,
+        regularMarketOpen: quote.regularMarketOpen,
+        regularMarketDayHigh: quote.regularMarketDayHigh,
+        regularMarketDayLow: quote.regularMarketDayLow,
+
+        postMarketPrice: quote.postMarketPrice,
+        postMarketChange: quote.postMarketChange,
+        postMarketChangePercent: quote.postMarketChangePercent,
+        preMarketPrice: quote.preMarketPrice,
+        preMarketChange: quote.preMarketChange,
+        preMarketChangePercent: quote.preMarketChangePercent,
+
+        regularMarketVolume: quote.regularMarketVolume,
+        averageDailyVolume3Month: quote.averageDailyVolume3Month,
+        averageDailyVolume10Day: quote.averageDailyVolume10Day,
+        bid: quote.bid,
+        bidSize: quote.bidSize,
+        ask: quote.ask,
+        askSize: quote.askSize,
+
+        fiftyTwoWeekLow: quote.fiftyTwoWeekLow,
+        fiftyTwoWeekHigh: quote.fiftyTwoWeekHigh,
+        fiftyTwoWeekChange: quote.fiftyTwoWeekChange,
+        fiftyTwoWeekChangePercent: quote.fiftyTwoWeekChangePercent,
+
+        marketCap: quote.marketCap,
+        trailingPE: quote.trailingPE,
+        forwardPE: quote.forwardPE,
+        priceToBook: quote.priceToBook,
+        bookValue: quote.bookValue,
+        earningsPerShare: quote.epsTrailingTwelveMonths,
+        epsForward: quote.epsForward,
+
+        dividendRate: quote.dividendRate,
+        dividendYield: quote.dividendYield,
+        exDividendDate: quote.exDividendDate,
+        trailingAnnualDividendRate: quote.trailingAnnualDividendRate,
+        trailingAnnualDividendYield: quote.trailingAnnualDividendYield,
+
+        beta: quote.beta,
+
+        fiftyDayAverage: quote.fiftyDayAverage,
+        fiftyDayAverageChange: quote.fiftyDayAverageChange,
+        fiftyDayAverageChangePercent: quote.fiftyDayAverageChangePercent,
+        twoHundredDayAverage: quote.twoHundredDayAverage,
+        twoHundredDayAverageChange: quote.twoHundredDayAverageChange,
+        twoHundredDayAverageChangePercent:
+          quote.twoHundredDayAverageChangePercent,
+
+        sector: quote.sector,
+        industry: quote.industry,
+        website: quote.website,
+
+        chartData: {
+          '1D': chart1D
+            ? {
+              timestamps: chart1D.quotes.map((q: any) => q.date.getTime()),
+              prices: chart1D.quotes.map((q: any) => q.close),
+            }
+            : null,
+          '5D': chart5D
+            ? {
+              timestamps: chart5D.quotes.map((q: any) => q.date.getTime()),
+              prices: chart5D.quotes.map((q: any) => q.close),
+            }
+            : null,
+          '1M': chart1M
+            ? {
+              timestamps: chart1M.quotes.map((q: any) => q.date.getTime()),
+              prices: chart1M.quotes.map((q: any) => q.close),
+            }
+            : null,
+          '3M': chart3M
+            ? {
+              timestamps: chart3M.quotes.map((q: any) => q.date.getTime()),
+              prices: chart3M.quotes.map((q: any) => q.close),
+            }
+            : null,
+          '6M': chart6M
+            ? {
+              timestamps: chart6M.quotes.map((q: any) => q.date.getTime()),
+              prices: chart6M.quotes.map((q: any) => q.close),
+            }
+            : null,
+          '1Y': chart1Y
+            ? {
+              timestamps: chart1Y.quotes.map((q: any) => q.date.getTime()),
+              prices: chart1Y.quotes.map((q: any) => q.close),
+            }
+            : null,
+          MAX: chartMAX
+            ? {
+              timestamps: chartMAX.quotes.map((q: any) => q.date.getTime()),
+              prices: chartMAX.quotes.map((q: any) => q.close),
+            }
+            : null,
+        },
+        comparisonData: comparisonData
+          ? comparisonData.map((comp: any) => ({
+            ticker: comp.ticker,
+            name: comp.name,
+            chartData: {
+              '1D': comp.charts[0]
+                ? {
+                  timestamps: comp.charts[0].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[0].quotes.map((q: any) => q.close),
+                }
+                : null,
+              '5D': comp.charts[1]
+                ? {
+                  timestamps: comp.charts[1].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[1].quotes.map((q: any) => q.close),
+                }
+                : null,
+              '1M': comp.charts[2]
+                ? {
+                  timestamps: comp.charts[2].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[2].quotes.map((q: any) => q.close),
+                }
+                : null,
+              '3M': comp.charts[3]
+                ? {
+                  timestamps: comp.charts[3].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[3].quotes.map((q: any) => q.close),
+                }
+                : null,
+              '6M': comp.charts[4]
+                ? {
+                  timestamps: comp.charts[4].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[4].quotes.map((q: any) => q.close),
+                }
+                : null,
+              '1Y': comp.charts[5]
+                ? {
+                  timestamps: comp.charts[5].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[5].quotes.map((q: any) => q.close),
+                }
+                : null,
+              MAX: comp.charts[6]
+                ? {
+                  timestamps: comp.charts[6].quotes.map((q: any) =>
+                    q.date.getTime(),
+                  ),
+                  prices: comp.charts[6].quotes.map((q: any) => q.close),
+                }
+                : null,
+            },
+          }))
+          : null,
+      };
+
+      return {
+        type: 'stock',
+        llmContext: `Current price of ${stockData.shortName} (${stockData.symbol}) is ${stockData.regularMarketPrice} ${stockData.currency}. Other details: ${JSON.stringify({
+          marketState: stockData.marketState,
+          regularMarketChange: stockData.regularMarketChange,
+          regularMarketChangePercent: stockData.regularMarketChangePercent,
+          marketCap: stockData.marketCap,
+          peRatio: stockData.trailingPE,
+          dividendYield: stockData.dividendYield,
+        })}`,
+        data: stockData,
+      };
+    } catch (error: any) {
+      return {
+        type: 'stock',
+        llmContext: 'Failed to fetch stock data.',
+        data: {
+          error: `Error fetching stock data: ${error.message || error}`,
+          ticker: params.ticker,
+        },
+      };
+    }
+  },
+};
+
+export default stockWidget;
--- a/src/lib/agents/search/widgets/weatherWidget.ts
+++ b/src/lib/agents/search/widgets/weatherWidget.ts
@@ -0,0 +1,178 @@
+import z from 'zod';
+import { Widget } from '../types';
+
+const WeatherWidgetSchema = z.object({
+  type: z.literal('weather'),
+  location: z
+    .string()
+    .describe(
+      'Human-readable location name (e.g., "New York, NY, USA", "London, UK"). Use this OR lat/lon coordinates, never both. Leave empty string if providing coordinates.',
+    ),
+  lat: z
+    .number()
+    .describe(
+      'Latitude coordinate in decimal degrees (e.g., 40.7128). Only use when location name is empty.',
+    ),
+  lon: z
+    .number()
+    .describe(
+      'Longitude coordinate in decimal degrees (e.g., -74.0060). Only use when location name is empty.',
+    ),
+});
+
+const weatherWidget: Widget<typeof WeatherWidgetSchema> = {
+  name: 'weather',
+  description: `Provides comprehensive current weather information and forecasts for any location worldwide. Returns real-time weather data including temperature, conditions, humidity, wind, and multi-day forecasts.
+
+You can set skipSearch to true if the weather widget can fully answer the user's query without needing additional web search.
+
+**What it provides:**
+- Current weather conditions (temperature, feels-like, humidity, precipitation)
+- Wind speed, direction, and gusts
+- Weather codes/conditions (clear, cloudy, rainy, etc.)
+- Hourly forecast for next 24 hours
+- Daily forecast for next 7 days (high/low temps, precipitation probability)
+- Timezone information
+
+**When to use:**
+- User asks about weather in a location ("weather in X", "is it raining in Y")
+- Questions about temperature, conditions, or forecast
+- Any weather-related query for a specific place
+
+**Example call:**
+{
+  "type": "weather",
+  "location": "San Francisco, CA, USA",
+  "lat": 0,
+  "lon": 0
+}
+
+**Important:** Provide EITHER a location name OR latitude/longitude coordinates, never both. If using location name, set lat/lon to 0. Location should be specific (city, state/region, country) for best results.`,
+  schema: WeatherWidgetSchema,
+  execute: async (params, _) => {
+    try {
+      if (
+        params.location === '' &&
+        (params.lat === undefined || params.lon === undefined)
+      ) {
+        throw new Error(
+          'Either location name or both latitude and longitude must be provided.',
+        );
+      }
+
+      if (params.location !== '') {
+        const openStreetMapUrl = `https://nominatim.openstreetmap.org/search?q=${encodeURIComponent(params.location)}&format=json&limit=1`;
+
+        const locationRes = await fetch(openStreetMapUrl, {
+          headers: {
+            'User-Agent': 'Perplexica',
+            'Content-Type': 'application/json',
+          },
+        });
+
+        const data = await locationRes.json();
+
+        const location = data[0];
+
+        if (!location) {
+          throw new Error(
+            `Could not find coordinates for location: ${params.location}`,
+          );
+        }
+
+        const weatherRes = await fetch(
+          `https://api.open-meteo.com/v1/forecast?latitude=${location.lat}&longitude=${location.lon}&current=temperature_2m,relative_humidity_2m,apparent_temperature,is_day,precipitation,rain,showers,snowfall,weather_code,cloud_cover,pressure_msl,surface_pressure,wind_speed_10m,wind_direction_10m,wind_gusts_10m&hourly=temperature_2m,precipitation_probability,precipitation,weather_code&daily=weather_code,temperature_2m_max,temperature_2m_min,precipitation_sum,precipitation_probability_max&timezone=auto&forecast_days=7`,
+          {
+            headers: {
+              'User-Agent': 'Perplexica',
+              'Content-Type': 'application/json',
+            },
+          },
+        );
+
+        const weatherData = await weatherRes.json();
+
+        return {
+          type: 'weather',
+          llmContext: `Weather in ${params.location} is ${weatherData.current}`,
+          data: {
+            location: params.location,
+            latitude: location.lat,
+            longitude: location.lon,
+            current: weatherData.current,
+            hourly: {
+              time: weatherData.hourly.time.slice(0, 24),
+              temperature_2m: weatherData.hourly.temperature_2m.slice(0, 24),
+              precipitation_probability:
+                weatherData.hourly.precipitation_probability.slice(0, 24),
+              precipitation: weatherData.hourly.precipitation.slice(0, 24),
+              weather_code: weatherData.hourly.weather_code.slice(0, 24),
+            },
+            daily: weatherData.daily,
+            timezone: weatherData.timezone,
+          },
+        };
+      } else if (params.lat !== undefined && params.lon !== undefined) {
+        const [weatherRes, locationRes] = await Promise.all([
+          fetch(
+            `https://api.open-meteo.com/v1/forecast?latitude=${params.lat}&longitude=${params.lon}&current=temperature_2m,relative_humidity_2m,apparent_temperature,is_day,precipitation,rain,showers,snowfall,weather_code,cloud_cover,pressure_msl,surface_pressure,wind_speed_10m,wind_direction_10m,wind_gusts_10m&hourly=temperature_2m,precipitation_probability,precipitation,weather_code&daily=weather_code,temperature_2m_max,temperature_2m_min,precipitation_sum,precipitation_probability_max&timezone=auto&forecast_days=7`,
+            {
+              headers: {
+                'User-Agent': 'Perplexica',
+                'Content-Type': 'application/json',
+              },
+            },
+          ),
+          fetch(
+            `https://nominatim.openstreetmap.org/reverse?lat=${params.lat}&lon=${params.lon}&format=json`,
+            {
+              headers: {
+                'User-Agent': 'Perplexica',
+                'Content-Type': 'application/json',
+              },
+            },
+          ),
+        ]);
+
+        const weatherData = await weatherRes.json();
+        const locationData = await locationRes.json();
+
+        return {
+          type: 'weather',
+          llmContext: `Weather in ${locationData.display_name} is ${weatherData.current}`,
+          data: {
+            location: locationData.display_name,
+            latitude: params.lat,
+            longitude: params.lon,
+            current: weatherData.current,
+            hourly: {
+              time: weatherData.hourly.time.slice(0, 24),
+              temperature_2m: weatherData.hourly.temperature_2m.slice(0, 24),
+              precipitation_probability:
+                weatherData.hourly.precipitation_probability.slice(0, 24),
+              precipitation: weatherData.hourly.precipitation.slice(0, 24),
+              weather_code: weatherData.hourly.weather_code.slice(0, 24),
+            },
+            daily: weatherData.daily,
+            timezone: weatherData.timezone,
+          },
+        };
+      }
+
+      return {
+        type: 'weather',
+        llmContext: 'No valid location or coordinates provided.',
+        data: null,
+      };
+    } catch (err) {
+      return {
+        type: 'weather',
+        llmContext: 'Failed to fetch weather data.',
+        data: {
+          error: `Error fetching weather data: ${err}`,
+        },
+      };
+    }
+  },
+};
+export default weatherWidget;
--- a/src/lib/agents/suggestions/index.ts
+++ b/src/lib/agents/suggestions/index.ts
@@ -0,0 +1,39 @@
+import formatChatHistoryAsString from '@/lib/utils/formatHistory';
+import { suggestionGeneratorPrompt } from '@/lib/prompts/suggestions';
+import { ChatTurnMessage } from '@/lib/types';
+import z from 'zod';
+import BaseLLM from '@/lib/models/base/llm';
+import { i } from 'mathjs';
+
+type SuggestionGeneratorInput = {
+  chatHistory: ChatTurnMessage[];
+};
+
+const schema = z.object({
+  suggestions: z
+    .array(z.string())
+    .describe('List of suggested questions or prompts'),
+});
+
+const generateSuggestions = async (
+  input: SuggestionGeneratorInput,
+  llm: BaseLLM<any>,
+) => {
+  const res = await llm.generateObject<z.infer<typeof schema>>({
+    messages: [
+      {
+        role: 'system',
+        content: suggestionGeneratorPrompt,
+      },
+      {
+        role: 'user',
+        content: `<chat_history>\n${formatChatHistoryAsString(input.chatHistory)}\n</chat_history>`,
+      },
+    ],
+    schema,
+  });
+
+  return res.suggestions;
+};
+
+export default generateSuggestions;
--- a/src/lib/chains/imageSearchAgent.ts
+++ b/src/lib/chains/imageSearchAgent.ts
@@ -1,105 +0,0 @@
-import {
-  RunnableSequence,
-  RunnableMap,
-  RunnableLambda,
-} from '@langchain/core/runnables';
-import { ChatPromptTemplate } from '@langchain/core/prompts';
-import formatChatHistoryAsString from '../utils/formatHistory';
-import { BaseMessage } from '@langchain/core/messages';
-import { StringOutputParser } from '@langchain/core/output_parsers';
-import { searchSearxng } from '../searxng';
-import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import LineOutputParser from '../outputParsers/lineOutputParser';
-
-const imageSearchChainPrompt = `
-You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search the web for images.
-You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
-Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
-`;
-
-type ImageSearchChainInput = {
-  chat_history: BaseMessage[];
-  query: string;
-};
-
-interface ImageSearchResult {
-  img_src: string;
-  url: string;
-  title: string;
-}
-
-const strParser = new StringOutputParser();
-
-const createImageSearchChain = (llm: BaseChatModel) => {
-  return RunnableSequence.from([
-    RunnableMap.from({
-      chat_history: (input: ImageSearchChainInput) => {
-        return formatChatHistoryAsString(input.chat_history);
-      },
-      query: (input: ImageSearchChainInput) => {
-        return input.query;
-      },
-    }),
-    ChatPromptTemplate.fromMessages([
-      ['system', imageSearchChainPrompt],
-      [
-        'user',
-        '<conversation>\n</conversation>\n<follow_up>\nWhat is a cat?\n</follow_up>',
-      ],
-      ['assistant', '<query>A cat</query>'],
-
-      [
-        'user',
-        '<conversation>\n</conversation>\n<follow_up>\nWhat is a car? How does it work?\n</follow_up>',
-      ],
-      ['assistant', '<query>Car working</query>'],
-      [
-        'user',
-        '<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
-      ],
-      ['assistant', '<query>AC working</query>'],
-      [
-        'user',
-        '<conversation>{chat_history}</conversation>\n<follow_up>\n{query}\n</follow_up>',
-      ],
-    ]),
-    llm,
-    strParser,
-    RunnableLambda.from(async (input: string) => {
-      const queryParser = new LineOutputParser({
-        key: 'query',
-      });
-
-      return await queryParser.parse(input);
-    }),
-    RunnableLambda.from(async (input: string) => {
-      const res = await searchSearxng(input, {
-        engines: ['bing images', 'google images'],
-      });
-
-      const images: ImageSearchResult[] = [];
-
-      res.results.forEach((result) => {
-        if (result.img_src && result.url && result.title) {
-          images.push({
-            img_src: result.img_src,
-            url: result.url,
-            title: result.title,
-          });
-        }
-      });
-
-      return images.slice(0, 10);
-    }),
-  ]);
-};
-
-const handleImageSearch = (
-  input: ImageSearchChainInput,
-  llm: BaseChatModel,
-) => {
-  const imageSearchChain = createImageSearchChain(llm);
-  return imageSearchChain.invoke(input);
-};
-
-export default handleImageSearch;
--- a/src/lib/chains/suggestionGeneratorAgent.ts
+++ b/src/lib/chains/suggestionGeneratorAgent.ts
@@ -1,55 +0,0 @@
-import { RunnableSequence, RunnableMap } from '@langchain/core/runnables';
-import ListLineOutputParser from '../outputParsers/listLineOutputParser';
-import { PromptTemplate } from '@langchain/core/prompts';
-import formatChatHistoryAsString from '../utils/formatHistory';
-import { BaseMessage } from '@langchain/core/messages';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { ChatOpenAI } from '@langchain/openai';
-
-const suggestionGeneratorPrompt = `
-You are an AI suggestion generator for an AI powered search engine. You will be given a conversation below. You need to generate 4-5 suggestions based on the conversation. The suggestion should be relevant to the conversation that can be used by the user to ask the chat model for more information.
-You need to make sure the suggestions are relevant to the conversation and are helpful to the user. Keep a note that the user might use these suggestions to ask a chat model for more information. 
-Make sure the suggestions are medium in length and are informative and relevant to the conversation.
-
-Provide these suggestions separated by newlines between the XML tags <suggestions> and </suggestions>. For example:
-
-<suggestions>
-Tell me more about SpaceX and their recent projects
-What is the latest news on SpaceX?
-Who is the CEO of SpaceX?
-</suggestions>
-
-Conversation:
-{chat_history}
-`;
-
-type SuggestionGeneratorInput = {
-  chat_history: BaseMessage[];
-};
-
-const outputParser = new ListLineOutputParser({
-  key: 'suggestions',
-});
-
-const createSuggestionGeneratorChain = (llm: BaseChatModel) => {
-  return RunnableSequence.from([
-    RunnableMap.from({
-      chat_history: (input: SuggestionGeneratorInput) =>
-        formatChatHistoryAsString(input.chat_history),
-    }),
-    PromptTemplate.fromTemplate(suggestionGeneratorPrompt),
-    llm,
-    outputParser,
-  ]);
-};
-
-const generateSuggestions = (
-  input: SuggestionGeneratorInput,
-  llm: BaseChatModel,
-) => {
-  (llm as unknown as ChatOpenAI).temperature = 0;
-  const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
-  return suggestionGeneratorChain.invoke(input);
-};
-
-export default generateSuggestions;
--- a/src/lib/chains/videoSearchAgent.ts
+++ b/src/lib/chains/videoSearchAgent.ts
@@ -1,110 +0,0 @@
-import {
-  RunnableSequence,
-  RunnableMap,
-  RunnableLambda,
-} from '@langchain/core/runnables';
-import { ChatPromptTemplate } from '@langchain/core/prompts';
-import formatChatHistoryAsString from '../utils/formatHistory';
-import { BaseMessage } from '@langchain/core/messages';
-import { StringOutputParser } from '@langchain/core/output_parsers';
-import { searchSearxng } from '../searxng';
-import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import LineOutputParser from '../outputParsers/lineOutputParser';
-
-const videoSearchChainPrompt = `
-You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
-You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
-Output only the rephrased query wrapped in an XML <query> element. Do not include any explanation or additional text.
-`;
-
-type VideoSearchChainInput = {
-  chat_history: BaseMessage[];
-  query: string;
-};
-
-interface VideoSearchResult {
-  img_src: string;
-  url: string;
-  title: string;
-  iframe_src: string;
-}
-
-const strParser = new StringOutputParser();
-
-const createVideoSearchChain = (llm: BaseChatModel) => {
-  return RunnableSequence.from([
-    RunnableMap.from({
-      chat_history: (input: VideoSearchChainInput) => {
-        return formatChatHistoryAsString(input.chat_history);
-      },
-      query: (input: VideoSearchChainInput) => {
-        return input.query;
-      },
-    }),
-    ChatPromptTemplate.fromMessages([
-      ['system', videoSearchChainPrompt],
-      [
-        'user',
-        '<conversation>\n</conversation>\n<follow_up>\nHow does a car work?\n</follow_up>',
-      ],
-      ['assistant', '<query>How does a car work?</query>'],
-      [
-        'user',
-        '<conversation>\n</conversation>\n<follow_up>\nWhat is the theory of relativity?\n</follow_up>',
-      ],
-      ['assistant', '<query>Theory of relativity</query>'],
-      [
-        'user',
-        '<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
-      ],
-      ['assistant', '<query>AC working</query>'],
-      [
-        'user',
-        '<conversation>{chat_history}</conversation>\n<follow_up>\n{query}\n</follow_up>',
-      ],
-    ]),
-    llm,
-    strParser,
-    RunnableLambda.from(async (input: string) => {
-      const queryParser = new LineOutputParser({
-        key: 'query',
-      });
-      return await queryParser.parse(input);
-    }),
-    RunnableLambda.from(async (input: string) => {
-      const res = await searchSearxng(input, {
-        engines: ['youtube'],
-      });
-
-      const videos: VideoSearchResult[] = [];
-
-      res.results.forEach((result) => {
-        if (
-          result.thumbnail &&
-          result.url &&
-          result.title &&
-          result.iframe_src
-        ) {
-          videos.push({
-            img_src: result.thumbnail,
-            url: result.url,
-            title: result.title,
-            iframe_src: result.iframe_src,
-          });
-        }
-      });
-
-      return videos.slice(0, 10);
-    }),
-  ]);
-};
-
-const handleVideoSearch = (
-  input: VideoSearchChainInput,
-  llm: BaseChatModel,
-) => {
-  const videoSearchChain = createVideoSearchChain(llm);
-  return videoSearchChain.invoke(input);
-};
-
-export default handleVideoSearch;
--- a/src/lib/config/clientRegistry.ts
+++ b/src/lib/config/clientRegistry.ts
@@ -6,11 +6,8 @@ const getClientConfig = (key: string, defaultVal?: any) => {

 export const getTheme = () => getClientConfig('theme', 'dark');

-export const getAutoImageSearch = () =>
-  Boolean(getClientConfig('autoImageSearch', 'true'));
-
-export const getAutoVideoSearch = () =>
-  Boolean(getClientConfig('autoVideoSearch', 'true'));
+export const getAutoMediaSearch = () =>
+  getClientConfig('autoMediaSearch', 'true') === 'true';

 export const getSystemInstructions = () =>
  getClientConfig('systemInstructions', '');
--- a/src/lib/config/index.ts
+++ b/src/lib/config/index.ts
@@ -13,14 +13,15 @@ class ConfigManager {
  currentConfig: Config = {
    version: this.configVersion,
    setupComplete: false,
-    general: {},
+    preferences: {},
+    personalization: {},
    modelProviders: [],
    search: {
      searxngURL: '',
    },
  };
  uiConfigSections: UIConfigSections = {
-    general: [
+    preferences: [
      {
        name: 'Theme',
        key: 'theme',
@@ -40,16 +41,6 @@ class ConfigManager {
        default: 'dark',
        scope: 'client',
      },
-      {
-        name: 'System Instructions',
-        key: 'systemInstructions',
-        type: 'textarea',
-        required: false,
-        description: 'Add custom behavior or tone for the model.',
-        placeholder:
-          'e.g., "Respond in a friendly and concise tone" or "Use British English and format answers as bullet points."',
-        scope: 'client',
-      },
      {
        name: 'Measurement Unit',
        key: 'measureUnit',
@@ -69,6 +60,27 @@ class ConfigManager {
        default: 'Metric',
        scope: 'client',
      },
+      {
+        name: 'Auto video & image search',
+        key: 'autoMediaSearch',
+        type: 'switch',
+        required: false,
+        description: 'Automatically search for relevant images and videos.',
+        default: true,
+        scope: 'client',
+      },
+    ],
+    personalization: [
+      {
+        name: 'System Instructions',
+        key: 'systemInstructions',
+        type: 'textarea',
+        required: false,
+        description: 'Add custom behavior or tone for the model.',
+        placeholder:
+          'e.g., "Respond in a friendly and concise tone" or "Use British English and format answers as bullet points."',
+        scope: 'client',
+      },
    ],
    modelProviders: [],
    search: [
--- a/src/lib/config/types.ts
+++ b/src/lib/config/types.ts
@@ -38,11 +38,17 @@ type TextareaUIConfigField = BaseUIConfigField & {
  default?: string;
 };

+type SwitchUIConfigField = BaseUIConfigField & {
+  type: 'switch';
+  default?: boolean;
+};
+
 type UIConfigField =
  | StringUIConfigField
  | SelectUIConfigField
  | PasswordUIConfigField
-  | TextareaUIConfigField;
+  | TextareaUIConfigField
+  | SwitchUIConfigField;

 type ConfigModelProvider = {
  id: string;
@@ -57,7 +63,10 @@ type ConfigModelProvider = {
 type Config = {
  version: number;
  setupComplete: boolean;
-  general: {
+  preferences: {
+    [key: string]: any;
+  };
+  personalization: {
    [key: string]: any;
  };
  modelProviders: ConfigModelProvider[];
@@ -80,7 +89,8 @@ type ModelProviderUISection = {
 };

 type UIConfigSections = {
-  general: UIConfigField[];
+  preferences: UIConfigField[];
+  personalization: UIConfigField[];
  modelProviders: ModelProviderUISection[];
  search: UIConfigField[];
 };
@@ -95,4 +105,5 @@ export type {
  ModelProviderUISection,
  ConfigModelProvider,
  TextareaUIConfigField,
+  SwitchUIConfigField,
 };
--- a/src/lib/db/migrate.ts
+++ b/src/lib/db/migrate.ts
@@ -18,12 +18,18 @@ db.exec(`
 `);

 function sanitizeSql(content: string) {
-  return content
-    .split(/\r?\n/)
-    .filter(
-      (l) => !l.trim().startsWith('-->') && !l.includes('statement-breakpoint'),
+  const statements = content
+    .split(/--> statement-breakpoint/g)
+    .map((stmt) =>
+      stmt
+        .split(/\r?\n/)
+        .filter((l) => !l.trim().startsWith('-->'))
+        .join('\n')
+        .trim(),
    )
-    .join('\n');
+    .filter((stmt) => stmt.length > 0);
+
+  return statements;
 }

 fs.readdirSync(migrationsFolder)
@@ -32,7 +38,7 @@ fs.readdirSync(migrationsFolder)
  .forEach((file) => {
    const filePath = path.join(migrationsFolder, file);
    let content = fs.readFileSync(filePath, 'utf-8');
-    content = sanitizeSql(content);
+    const statements = sanitizeSql(content);

    const migrationName = file.split('_')[0] || file;

@@ -108,7 +114,12 @@ fs.readdirSync(migrationsFolder)
        db.exec('DROP TABLE messages;');
        db.exec('ALTER TABLE messages_with_sources RENAME TO messages;');
      } else {
-        db.exec(content);
+        // Execute each statement separately
+        statements.forEach((stmt) => {
+          if (stmt.trim()) {
+            db.exec(stmt);
+          }
+        });
      }

      db.prepare('INSERT OR IGNORE INTO ran_migrations (name) VALUES (?)').run(
--- a/src/lib/db/schema.ts
+++ b/src/lib/db/schema.ts
@@ -1,26 +1,23 @@
 import { sql } from 'drizzle-orm';
 import { text, integer, sqliteTable } from 'drizzle-orm/sqlite-core';
-import { Document } from '@langchain/core/documents';
+import { Block } from '../types';

 export const messages = sqliteTable('messages', {
  id: integer('id').primaryKey(),
-  role: text('type', { enum: ['assistant', 'user', 'source'] }).notNull(),
-  chatId: text('chatId').notNull(),
-  createdAt: text('createdAt')
-    .notNull()
-    .default(sql`CURRENT_TIMESTAMP`),
  messageId: text('messageId').notNull(),
-
-  content: text('content'),
-
-  sources: text('sources', {
-    mode: 'json',
-  })
-    .$type<Document[]>()
+  chatId: text('chatId').notNull(),
+  backendId: text('backendId').notNull(),
+  query: text('query').notNull(),
+  createdAt: text('createdAt').notNull(),
+  responseBlocks: text('responseBlocks', { mode: 'json' })
+    .$type<Block[]>()
    .default(sql`'[]'`),
+  status: text({ enum: ['answering', 'completed', 'error'] }).default(
+    'answering',
+  ),
 });

-interface File {
+interface DBFile {
  name: string;
  fileId: string;
 }
@@ -31,6 +28,6 @@ export const chats = sqliteTable('chats', {
  createdAt: text('createdAt').notNull(),
  focusMode: text('focusMode').notNull(),
  files: text('files', { mode: 'json' })
-    .$type<File[]>()
+    .$type<DBFile[]>()
    .default(sql`'[]'`),
 });
--- a/src/lib/hooks/useChat.tsx
+++ b/src/lib/hooks/useChat.tsx
@@ -1,13 +1,7 @@
 'use client';

-import {
-  AssistantMessage,
-  ChatTurn,
-  Message,
-  SourceMessage,
-  SuggestionMessage,
-  UserMessage,
-} from '@/components/ChatWindow';
+import { Message } from '@/components/ChatWindow';
+import { Block } from '@/lib/types';
 import {
  createContext,
  useContext,
@@ -21,20 +15,21 @@ import { useParams, useSearchParams } from 'next/navigation';
 import { toast } from 'sonner';
 import { getSuggestions } from '../actions';
 import { MinimalProvider } from '../models/types';
+import { getAutoMediaSearch } from '../config/clientRegistry';
+import { applyPatch } from 'rfc6902';
+import { Widget } from '@/components/ChatWindow';

 export type Section = {
-  userMessage: UserMessage;
-  assistantMessage: AssistantMessage | undefined;
-  parsedAssistantMessage: string | undefined;
-  speechMessage: string | undefined;
-  sourceMessage: SourceMessage | undefined;
+  message: Message;
+  widgets: Widget[];
+  parsedTextBlocks: string[];
+  speechMessage: string;
  thinkingEnded: boolean;
  suggestions?: string[];
 };

 type ChatContext = {
  messages: Message[];
-  chatTurns: ChatTurn[];
  sections: Section[];
  chatHistory: [string, string][];
  files: File[];
@@ -50,6 +45,8 @@ type ChatContext = {
  hasError: boolean;
  chatModelProvider: ChatModelProvider;
  embeddingModelProvider: EmbeddingModelProvider;
+  researchEnded: boolean;
+  setResearchEnded: (ended: boolean) => void;
  setOptimizationMode: (mode: string) => void;
  setFocusMode: (mode: string) => void;
  setFiles: (files: File[]) => void;
@@ -94,17 +91,6 @@ const checkConfig = async (
      'embeddingModelProviderId',
    );

-    const autoImageSearch = localStorage.getItem('autoImageSearch');
-    const autoVideoSearch = localStorage.getItem('autoVideoSearch');
-
-    if (!autoImageSearch) {
-      localStorage.setItem('autoImageSearch', 'true');
-    }
-
-    if (!autoVideoSearch) {
-      localStorage.setItem('autoVideoSearch', 'false');
-    }
-
    const res = await fetch(`/api/providers`, {
      headers: {
        'Content-Type': 'application/json',
@@ -214,18 +200,26 @@ const loadMessages = async (

  setMessages(messages);

-  const chatTurns = messages.filter(
-    (msg): msg is ChatTurn => msg.role === 'user' || msg.role === 'assistant',
-  );
+  const history: [string, string][] = [];
+  messages.forEach((msg) => {
+    history.push(['human', msg.query]);

-  const history = chatTurns.map((msg) => {
-    return [msg.role, msg.content];
-  }) as [string, string][];
+    const textBlocks = msg.responseBlocks
+      .filter(
+        (block): block is Block & { type: 'text' } => block.type === 'text',
+      )
+      .map((block) => block.data)
+      .join('\n');
+
+    if (textBlocks) {
+      history.push(['assistant', textBlocks]);
+    }
+  });

  console.debug(new Date(), 'app:messages_loaded');

-  if (chatTurns.length > 0) {
-    document.title = chatTurns[0].content;
+  if (messages.length > 0) {
+    document.title = messages[0].query;
  }

  const files = data.chat.files.map((file: any) => {
@@ -256,12 +250,12 @@ export const chatContext = createContext<ChatContext>({
  loading: false,
  messageAppeared: false,
  messages: [],
-  chatTurns: [],
  sections: [],
  notFound: false,
  optimizationMode: '',
  chatModelProvider: { key: '', providerId: '' },
  embeddingModelProvider: { key: '', providerId: '' },
+  researchEnded: false,
  rewrite: () => {},
  sendMessage: async () => {},
  setFileIds: () => {},
@@ -270,6 +264,7 @@ export const chatContext = createContext<ChatContext>({
  setOptimizationMode: () => {},
  setChatModelProvider: () => {},
  setEmbeddingModelProvider: () => {},
+  setResearchEnded: () => {},
 });

 export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
@@ -283,6 +278,8 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
  const [loading, setLoading] = useState(false);
  const [messageAppeared, setMessageAppeared] = useState(false);

+  const [researchEnded, setResearchEnded] = useState(false);
+
  const [chatHistory, setChatHistory] = useState<[string, string][]>([]);
  const [messages, setMessages] = useState<Message[]>([]);

@@ -315,66 +312,44 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {

  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[] = [];
+    return messages.map((msg) => {
+      const textBlocks: string[] = [];
+      let speechMessage = '';
+      let thinkingEnded = false;
+      let suggestions: string[] = [];

-    messages.forEach((msg, i) => {
-      if (msg.role === 'user') {
-        const nextUserMessageIndex = messages.findIndex(
-          (m, j) => j > i && m.role === 'user',
-        );
+      const sourceBlocks = msg.responseBlocks.filter(
+        (block): block is Block & { type: 'source' } => block.type === 'source',
+      );
+      const sources = sourceBlocks.flatMap((block) => block.data);

-        const aiMessage = messages.find(
-          (m, j) =>
-            j > i &&
-            m.role === 'assistant' &&
-            (nextUserMessageIndex === -1 || j < nextUserMessageIndex),
-        ) as AssistantMessage | undefined;
+      const widgetBlocks = msg.responseBlocks
+        .filter((b) => b.type === 'widget')
+        .map((b) => b.data) as Widget[];

-        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) {
+      msg.responseBlocks.forEach((block) => {
+        if (block.type === 'text') {
+          let processedText = block.data;
          const citationRegex = /\[([^\]]+)\]/g;
          const regex = /\[(\d+)\]/g;

-          if (processedMessage.includes('<think>')) {
-            const openThinkTag =
-              processedMessage.match(/<think>/g)?.length || 0;
+          if (processedText.includes('<think>')) {
+            const openThinkTag = processedText.match(/<think>/g)?.length || 0;
            const closeThinkTag =
-              processedMessage.match(/<\/think>/g)?.length || 0;
+              processedText.match(/<\/think>/g)?.length || 0;

            if (openThinkTag && !closeThinkTag) {
-              processedMessage += '</think> <a> </a>';
+              processedText += '</think> <a> </a>';
            }
          }

-          if (aiMessage.content.includes('</think>')) {
+          if (block.data.includes('</think>')) {
            thinkingEnded = true;
          }

-          if (
-            sourceMessage &&
-            sourceMessage.sources &&
-            sourceMessage.sources.length > 0
-          ) {
-            processedMessage = processedMessage.replace(
+          if (sources.length > 0) {
+            processedText = processedText.replace(
              citationRegex,
              (_, capturedContent: string) => {
                const numbers = capturedContent
@@ -389,7 +364,7 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
                      return `[${numStr}]`;
                    }

-                    const source = sourceMessage.sources?.[number - 1];
+                    const source = sources[number - 1];
                    const url = source?.metadata?.url;

                    if (url) {
@@ -403,37 +378,27 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
                return linksHtml;
              },
            );
-            speechMessage = aiMessage.content.replace(regex, '');
+            speechMessage += block.data.replace(regex, '');
          } else {
-            processedMessage = processedMessage.replace(regex, '');
-            speechMessage = aiMessage.content.replace(regex, '');
+            processedText = processedText.replace(regex, '');
+            speechMessage += block.data.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;
-          }
+          textBlocks.push(processedText);
+        } else if (block.type === 'suggestion') {
+          suggestions = block.data;
        }
+      });

-        sections.push({
-          userMessage: msg,
-          assistantMessage: aiMessage,
-          sourceMessage: sourceMessage,
-          parsedAssistantMessage: processedMessage,
-          speechMessage,
-          thinkingEnded,
-          suggestions: suggestions,
-        });
-      }
+      return {
+        message: msg,
+        parsedTextBlocks: textBlocks,
+        speechMessage,
+        thinkingEnded,
+        suggestions,
+        widgets: widgetBlocks,
+      };
    });
-
-    return sections;
  }, [messages]);

  useEffect(() => {
@@ -499,24 +464,17 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {

  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) => prev.slice(0, index));

-    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)];
+      return prev.slice(0, index * 2);
    });

-    sendMessage(message.content, message.messageId, true);
+    const messageToRewrite = messages[index];
+    sendMessage(messageToRewrite.query, messageToRewrite.messageId, true);
  };

  useEffect(() => {
@@ -537,140 +495,213 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
  ) => {
    if (loading || !message) return;
    setLoading(true);
+    setResearchEnded(false);
    setMessageAppeared(false);

    if (messages.length <= 1) {
      window.history.replaceState(null, '', `/c/${chatId}`);
    }

-    let recievedMessage = '';
-    let added = false;
-
    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
+    const backendId = crypto.randomBytes(20).toString('hex');

-    setMessages((prevMessages) => [
-      ...prevMessages,
-      {
-        content: message,
-        messageId: messageId,
-        chatId: chatId!,
-        role: 'user',
-        createdAt: new Date(),
-      },
-    ]);
+    const newMessage: Message = {
+      messageId,
+      chatId: chatId!,
+      backendId,
+      query: message,
+      responseBlocks: [],
+      status: 'answering',
+      createdAt: new Date(),
+    };
+
+    setMessages((prevMessages) => [...prevMessages, newMessage]);
+
+    const receivedTextRef = { current: '' };

    const messageHandler = async (data: any) => {
      if (data.type === 'error') {
        toast.error(data.data);
        setLoading(false);
+        setMessages((prev) =>
+          prev.map((msg) =>
+            msg.messageId === messageId
+              ? { ...msg, status: 'error' as const }
+              : msg,
+          ),
+        );
        return;
      }

+      if (data.type === 'researchComplete') {
+        setResearchEnded(true);
+        if (
+          newMessage.responseBlocks.find(
+            (b) => b.type === 'source' && b.data.length > 0,
+          )
+        ) {
+          setMessageAppeared(true);
+        }
+      }
+
+      if (data.type === 'block') {
+        setMessages((prev) =>
+          prev.map((msg) => {
+            if (msg.messageId === messageId) {
+              return {
+                ...msg,
+                responseBlocks: [...msg.responseBlocks, data.block],
+              };
+            }
+            return msg;
+          }),
+        );
+      }
+
+      if (data.type === 'updateBlock') {
+        setMessages((prev) =>
+          prev.map((msg) => {
+            if (msg.messageId === messageId) {
+              const updatedBlocks = msg.responseBlocks.map((block) => {
+                if (block.id === data.blockId) {
+                  const updatedBlock = { ...block };
+                  applyPatch(updatedBlock, data.patch);
+                  return updatedBlock;
+                }
+                return block;
+              });
+              return { ...msg, responseBlocks: updatedBlocks };
+            }
+            return msg;
+          }),
+        );
+      }
+
      if (data.type === 'sources') {
-        setMessages((prevMessages) => [
-          ...prevMessages,
-          {
-            messageId: data.messageId,
-            chatId: chatId!,
-            role: 'source',
-            sources: data.data,
-            createdAt: new Date(),
-          },
-        ]);
+        const sourceBlock: Block = {
+          id: crypto.randomBytes(7).toString('hex'),
+          type: 'source',
+          data: data.data,
+        };
+
+        setMessages((prev) =>
+          prev.map((msg) => {
+            if (msg.messageId === messageId) {
+              return {
+                ...msg,
+                responseBlocks: [...msg.responseBlocks, sourceBlock],
+              };
+            }
+            return msg;
+          }),
+        );
        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 };
-              }
+        receivedTextRef.current += data.data;

-              return message;
-            }),
-          );
-        }
-        recievedMessage += data.data;
+        setMessages((prev) =>
+          prev.map((msg) => {
+            if (msg.messageId === messageId) {
+              const existingTextBlockIndex = msg.responseBlocks.findIndex(
+                (b) => b.type === 'text',
+              );
+
+              if (existingTextBlockIndex >= 0) {
+                const updatedBlocks = [...msg.responseBlocks];
+                const existingBlock = updatedBlocks[
+                  existingTextBlockIndex
+                ] as Block & { type: 'text' };
+                updatedBlocks[existingTextBlockIndex] = {
+                  ...existingBlock,
+                  data: existingBlock.data + data.data,
+                };
+                return { ...msg, responseBlocks: updatedBlocks };
+              } else {
+                const textBlock: Block = {
+                  id: crypto.randomBytes(7).toString('hex'),
+                  type: 'text',
+                  data: data.data,
+                };
+                return {
+                  ...msg,
+                  responseBlocks: [...msg.responseBlocks, textBlock],
+                };
+              }
+            }
+            return msg;
+          }),
+        );
+        setMessageAppeared(true);
      }

      if (data.type === 'messageEnd') {
-        setChatHistory((prevHistory) => [
-          ...prevHistory,
+        const newHistory: [string, string][] = [
+          ...chatHistory,
          ['human', message],
-          ['assistant', recievedMessage],
-        ]);
+          ['assistant', receivedTextRef.current],
+        ];
+
+        setChatHistory(newHistory);
+
+        setMessages((prev) =>
+          prev.map((msg) =>
+            msg.messageId === messageId
+              ? { ...msg, status: 'completed' as const }
+              : msg,
+          ),
+        );

        setLoading(false);

        const lastMsg = messagesRef.current[messagesRef.current.length - 1];

-        const autoImageSearch = localStorage.getItem('autoImageSearch');
-        const autoVideoSearch = localStorage.getItem('autoVideoSearch');
+        const autoMediaSearch = getAutoMediaSearch();

-        if (autoImageSearch === 'true') {
+        if (autoMediaSearch) {
          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',
+        // Check if there are sources and no suggestions
+        const currentMsg = messagesRef.current.find(
+          (msg) => msg.messageId === messageId,
        );

-        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',
+        const hasSourceBlocks = currentMsg?.responseBlocks.some(
+          (block) => block.type === 'source' && block.data.length > 0,
+        );
+        const hasSuggestions = currentMsg?.responseBlocks.some(
+          (block) => block.type === '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'),
-              },
-            ];
-          });
+        if (hasSourceBlocks && !hasSuggestions) {
+          const suggestions = await getSuggestions(newHistory);
+          const suggestionBlock: Block = {
+            id: crypto.randomBytes(7).toString('hex'),
+            type: 'suggestion',
+            data: suggestions,
+          };
+
+          setMessages((prev) =>
+            prev.map((msg) => {
+              if (msg.messageId === messageId) {
+                return {
+                  ...msg,
+                  responseBlocks: [...msg.responseBlocks, suggestionBlock],
+                };
+              }
+              return msg;
+            }),
+          );
        }
      }
    };
@@ -739,7 +770,6 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
    <chatContext.Provider
      value={{
        messages,
-        chatTurns,
        sections,
        chatHistory,
        files,
@@ -763,6 +793,8 @@ export const ChatProvider = ({ children }: { children: React.ReactNode }) => {
        chatModelProvider,
        embeddingModelProvider,
        setEmbeddingModelProvider,
+        researchEnded,
+        setResearchEnded,
      }}
    >
      {children}
--- a/src/lib/models/base/embedding.ts
+++ b/src/lib/models/base/embedding.ts
@@ -0,0 +1,9 @@
+import { Chunk } from '@/lib/types';
+
+abstract class BaseEmbedding<CONFIG> {
+  constructor(protected config: CONFIG) {}
+  abstract embedText(texts: string[]): Promise<number[][]>;
+  abstract embedChunks(chunks: Chunk[]): Promise<number[][]>;
+}
+
+export default BaseEmbedding;
--- a/src/lib/models/base/llm.ts
+++ b/src/lib/models/base/llm.ts
@@ -0,0 +1,22 @@
+import {
+  GenerateObjectInput,
+  GenerateOptions,
+  GenerateTextInput,
+  GenerateTextOutput,
+  StreamTextOutput,
+} from '../types';
+
+abstract class BaseLLM<CONFIG> {
+  constructor(protected config: CONFIG) {}
+  abstract withOptions(options: GenerateOptions): this;
+  abstract generateText(input: GenerateTextInput): Promise<GenerateTextOutput>;
+  abstract streamText(
+    input: GenerateTextInput,
+  ): AsyncGenerator<StreamTextOutput>;
+  abstract generateObject<T>(input: GenerateObjectInput): Promise<T>;
+  abstract streamObject<T>(
+    input: GenerateObjectInput,
+  ): AsyncGenerator<Partial<T>>;
+}
+
+export default BaseLLM;
--- a/src/lib/models/providers/baseProvider.ts
+++ b/src/lib/models/providers/baseProvider.ts
@@ -1,7 +1,7 @@
-import { Embeddings } from '@langchain/core/embeddings';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
+import { ModelList, ProviderMetadata } from '../types';
 import { UIConfigField } from '@/lib/config/types';
+import BaseLLM from './llm';
+import BaseEmbedding from './embedding';

 abstract class BaseModelProvider<CONFIG> {
  constructor(
@@ -11,8 +11,8 @@ abstract class BaseModelProvider<CONFIG> {
  ) {}
  abstract getDefaultModels(): Promise<ModelList>;
  abstract getModelList(): Promise<ModelList>;
-  abstract loadChatModel(modelName: string): Promise<BaseChatModel>;
-  abstract loadEmbeddingModel(modelName: string): Promise<Embeddings>;
+  abstract loadChatModel(modelName: string): Promise<BaseLLM<any>>;
+  abstract loadEmbeddingModel(modelName: string): Promise<BaseEmbedding<any>>;
  static getProviderConfigFields(): UIConfigField[] {
    throw new Error('Method not implemented.');
  }
--- a/src/lib/models/providers/aiml.ts
+++ b/src/lib/models/providers/aiml.ts
@@ -1,152 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface AimlConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your AI/ML API key',
-    required: true,
-    placeholder: 'AI/ML API Key',
-    env: 'AIML_API_KEY',
-    scope: 'server',
-  },
-];
-
-class AimlProvider extends BaseModelProvider<AimlConfig> {
-  constructor(id: string, name: string, config: AimlConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const res = await fetch('https://api.aimlapi.com/models', {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-          Authorization: `Bearer ${this.config.apiKey}`,
-        },
-      });
-
-      const data = await res.json();
-
-      const chatModels: Model[] = data.data
-        .filter((m: any) => m.type === 'chat-completion')
-        .map((m: any) => {
-          return {
-            name: m.id,
-            key: m.id,
-          };
-        });
-
-      const embeddingModels: Model[] = data.data
-        .filter((m: any) => m.type === 'embedding')
-        .map((m: any) => {
-          return {
-            name: m.id,
-            key: m.id,
-          };
-        });
-
-      return {
-        embedding: embeddingModels,
-        chat: chatModels,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to AI/ML API. Please ensure your API key is correct and the service is available.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading AI/ML API Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: 'https://api.aimlapi.com',
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading AI/ML API Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: this.config.apiKey,
-      model: key,
-      configuration: {
-        baseURL: 'https://api.aimlapi.com',
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): AimlConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'aiml',
-      name: 'AI/ML API',
-    };
-  }
-}
-
-export default AimlProvider;
--- a/src/lib/models/providers/anthropic.ts
+++ b/src/lib/models/providers/anthropic.ts
@@ -1,115 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatAnthropic } from '@langchain/anthropic';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface AnthropicConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Anthropic API key',
-    required: true,
-    placeholder: 'Anthropic API Key',
-    env: 'ANTHROPIC_API_KEY',
-    scope: 'server',
-  },
-];
-
-class AnthropicProvider extends BaseModelProvider<AnthropicConfig> {
-  constructor(id: string, name: string, config: AnthropicConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    const res = await fetch('https://api.anthropic.com/v1/models?limit=999', {
-      method: 'GET',
-      headers: {
-        'x-api-key': this.config.apiKey,
-        'anthropic-version': '2023-06-01',
-        'Content-type': 'application/json',
-      },
-    });
-
-    if (!res.ok) {
-      throw new Error(`Failed to fetch Anthropic models: ${res.statusText}`);
-    }
-
-    const data = (await res.json()).data;
-
-    const models: Model[] = data.map((m: any) => {
-      return {
-        key: m.id,
-        name: m.display_name,
-      };
-    });
-
-    return {
-      embedding: [],
-      chat: models,
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Anthropic Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatAnthropic({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    throw new Error('Anthropic provider does not support embedding models.');
-  }
-
-  static parseAndValidate(raw: any): AnthropicConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'anthropic',
-      name: 'Anthropic',
-    };
-  }
-}
-
-export default AnthropicProvider;
--- a/src/lib/models/providers/deepseek.ts
+++ b/src/lib/models/providers/deepseek.ts
@@ -1,107 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface DeepSeekConfig {
-  apiKey: string;
-}
-
-const defaultChatModels: Model[] = [
-  {
-    name: 'Deepseek Chat / DeepSeek V3.2 Exp',
-    key: 'deepseek-chat',
-  },
-  {
-    name: 'Deepseek Reasoner / DeepSeek V3.2 Exp',
-    key: 'deepseek-reasoner',
-  },
-];
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your DeepSeek API key',
-    required: true,
-    placeholder: 'DeepSeek API Key',
-    env: 'DEEPSEEK_API_KEY',
-    scope: 'server',
-  },
-];
-
-class DeepSeekProvider extends BaseModelProvider<DeepSeekConfig> {
-  constructor(id: string, name: string, config: DeepSeekConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    return {
-      embedding: [],
-      chat: defaultChatModels,
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading DeepSeek Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: 'https://api.deepseek.com',
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    throw new Error('DeepSeek provider does not support embedding models.');
-  }
-
-  static parseAndValidate(raw: any): DeepSeekConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'deepseek',
-      name: 'Deepseek AI',
-    };
-  }
-}
-
-export default DeepSeekProvider;
--- a/src/lib/models/providers/gemini.ts
+++ b/src/lib/models/providers/gemini.ts
@@ -1,140 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import {
-  ChatGoogleGenerativeAI,
-  GoogleGenerativeAIEmbeddings,
-} from '@langchain/google-genai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface GeminiConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Google Gemini API key',
-    required: true,
-    placeholder: 'Google Gemini API Key',
-    env: 'GEMINI_API_KEY',
-    scope: 'server',
-  },
-];
-
-class GeminiProvider extends BaseModelProvider<GeminiConfig> {
-  constructor(id: string, name: string, config: GeminiConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    const res = await fetch(
-      `https://generativelanguage.googleapis.com/v1beta/models?key=${this.config.apiKey}`,
-      {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      },
-    );
-
-    const data = await res.json();
-
-    let defaultEmbeddingModels: Model[] = [];
-    let defaultChatModels: Model[] = [];
-
-    data.models.forEach((m: any) => {
-      if (m.supportedGenerationMethods.includes('embedText')) {
-        defaultEmbeddingModels.push({
-          key: m.name,
-          name: m.displayName,
-        });
-      } else if (m.supportedGenerationMethods.includes('generateContent')) {
-        defaultChatModels.push({
-          key: m.name,
-          name: m.displayName,
-        });
-      }
-    });
-
-    return {
-      embedding: defaultEmbeddingModels,
-      chat: defaultChatModels,
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Gemini Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatGoogleGenerativeAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Gemini Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new GoogleGenerativeAIEmbeddings({
-      apiKey: this.config.apiKey,
-      model: key,
-    });
-  }
-
-  static parseAndValidate(raw: any): GeminiConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'gemini',
-      name: 'Google Gemini',
-    };
-  }
-}
-
-export default GeminiProvider;
--- a/src/lib/models/providers/groq.ts
+++ b/src/lib/models/providers/groq.ts
@@ -1,118 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatGroq } from '@langchain/groq';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface GroqConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Groq API key',
-    required: true,
-    placeholder: 'Groq API Key',
-    env: 'GROQ_API_KEY',
-    scope: 'server',
-  },
-];
-
-class GroqProvider extends BaseModelProvider<GroqConfig> {
-  constructor(id: string, name: string, config: GroqConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const res = await fetch('https://api.groq.com/openai/v1/models', {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-          Authorization: `Bearer ${this.config.apiKey}`,
-        },
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.data.map((m: any) => {
-        return {
-          name: m.id,
-          key: m.id,
-        };
-      });
-
-      return {
-        embedding: [],
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to Groq API. Please ensure your API key is correct and the Groq service is available.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error('Error Loading Groq Chat Model. Invalid Model Selected');
-    }
-
-    return new ChatGroq({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    throw new Error('Groq provider does not support embedding models.');
-  }
-
-  static parseAndValidate(raw: any): GroqConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'groq',
-      name: 'Groq',
-    };
-  }
-}
-
-export default GroqProvider;
--- a/src/lib/models/providers/index.ts
+++ b/src/lib/models/providers/index.ts
@@ -1,27 +1,11 @@
 import { ModelProviderUISection } from '@/lib/config/types';
-import { ProviderConstructor } from './baseProvider';
+import { ProviderConstructor } from '../base/provider';
 import OpenAIProvider from './openai';
 import OllamaProvider from './ollama';
-import TransformersProvider from './transformers';
-import AnthropicProvider from './anthropic';
-import GeminiProvider from './gemini';
-import GroqProvider from './groq';
-import DeepSeekProvider from './deepseek';
-import LMStudioProvider from './lmstudio';
-import LemonadeProvider from './lemonade';
-import AimlProvider from '@/lib/models/providers/aiml';

 export const providers: Record<string, ProviderConstructor<any>> = {
  openai: OpenAIProvider,
  ollama: OllamaProvider,
-  transformers: TransformersProvider,
-  anthropic: AnthropicProvider,
-  gemini: GeminiProvider,
-  groq: GroqProvider,
-  deepseek: DeepSeekProvider,
-  aiml: AimlProvider,
-  lmstudio: LMStudioProvider,
-  lemonade: LemonadeProvider,
 };

 export const getModelProvidersUIConfigSection =
--- a/src/lib/models/providers/lemonade.ts
+++ b/src/lib/models/providers/lemonade.ts
@@ -1,158 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface LemonadeConfig {
-  baseURL: string;
-  apiKey?: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'string',
-    name: 'Base URL',
-    key: 'baseURL',
-    description: 'The base URL for Lemonade API',
-    required: true,
-    placeholder: 'https://api.lemonade.ai/v1',
-    env: 'LEMONADE_BASE_URL',
-    scope: 'server',
-  },
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Lemonade API key (optional)',
-    required: false,
-    placeholder: 'Lemonade API Key',
-    env: 'LEMONADE_API_KEY',
-    scope: 'server',
-  },
-];
-
-class LemonadeProvider extends BaseModelProvider<LemonadeConfig> {
-  constructor(id: string, name: string, config: LemonadeConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const headers: Record<string, string> = {
-        'Content-Type': 'application/json',
-      };
-
-      if (this.config.apiKey) {
-        headers['Authorization'] = `Bearer ${this.config.apiKey}`;
-      }
-
-      const res = await fetch(`${this.config.baseURL}/models`, {
-        method: 'GET',
-        headers,
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.data.map((m: any) => {
-        return {
-          name: m.id,
-          key: m.id,
-        };
-      });
-
-      return {
-        embedding: models,
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to Lemonade API. Please ensure the base URL is correct and the service is available.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Lemonade Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey || 'not-needed',
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Lemonade Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: this.config.apiKey || 'not-needed',
-      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): LemonadeConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.baseURL)
-      throw new Error('Invalid config provided. Base URL must be provided');
-
-    return {
-      baseURL: String(raw.baseURL),
-      apiKey: raw.apiKey ? String(raw.apiKey) : undefined,
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'lemonade',
-      name: 'Lemonade',
-    };
-  }
-}
-
-export default LemonadeProvider;
--- a/src/lib/models/providers/lmstudio.ts
+++ b/src/lib/models/providers/lmstudio.ts
@@ -1,148 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface LMStudioConfig {
-  baseURL: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'string',
-    name: 'Base URL',
-    key: 'baseURL',
-    description: 'The base URL for LM Studio server',
-    required: true,
-    placeholder: 'http://localhost:1234',
-    env: 'LM_STUDIO_BASE_URL',
-    scope: 'server',
-  },
-];
-
-class LMStudioProvider extends BaseModelProvider<LMStudioConfig> {
-  constructor(id: string, name: string, config: LMStudioConfig) {
-    super(id, name, config);
-  }
-
-  private normalizeBaseURL(url: string): string {
-    const trimmed = url.trim().replace(/\/+$/, '');
-    return trimmed.endsWith('/v1') ? trimmed : `${trimmed}/v1`;
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const baseURL = this.normalizeBaseURL(this.config.baseURL);
-
-      const res = await fetch(`${baseURL}/models`, {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.data.map((m: any) => {
-        return {
-          name: m.id,
-          key: m.id,
-        };
-      });
-
-      return {
-        embedding: models,
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to LM Studio. Please ensure the base URL is correct and the LM Studio server is running.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading LM Studio Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: 'lm-studio',
-      temperature: 0.7,
-      model: key,
-      streaming: true,
-      configuration: {
-        baseURL: this.normalizeBaseURL(this.config.baseURL),
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading LM Studio Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: 'lm-studio',
-      model: key,
-      configuration: {
-        baseURL: this.normalizeBaseURL(this.config.baseURL),
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): LMStudioConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.baseURL)
-      throw new Error('Invalid config provided. Base URL must be provided');
-
-    return {
-      baseURL: String(raw.baseURL),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'lmstudio',
-      name: 'LM Studio',
-    };
-  }
-}
-
-export default LMStudioProvider;
--- a/src/lib/models/providers/ollama/index.ts
+++ b/src/lib/models/providers/ollama/index.ts
@@ -1,10 +1,11 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOllama, OllamaEmbeddings } from '@langchain/ollama';
-import { Embeddings } from '@langchain/core/embeddings';
 import { UIConfigField } from '@/lib/config/types';
 import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
+import BaseModelProvider from '../../base/provider';
+import { Model, ModelList, ProviderMetadata } from '../../types';
+import BaseLLM from '../../base/llm';
+import BaseEmbedding from '../../base/embedding';
+import OllamaLLM from './ollamaLLM';
+import OllamaEmbedding from './ollamaEmbedding';

 interface OllamaConfig {
  baseURL: string;
@@ -76,7 +77,7 @@ class OllamaProvider extends BaseModelProvider<OllamaConfig> {
    };
  }

-  async loadChatModel(key: string): Promise<BaseChatModel> {
+  async loadChatModel(key: string): Promise<BaseLLM<any>> {
    const modelList = await this.getModelList();

    const exists = modelList.chat.find((m) => m.key === key);
@@ -87,14 +88,13 @@ class OllamaProvider extends BaseModelProvider<OllamaConfig> {
      );
    }

-    return new ChatOllama({
-      temperature: 0.7,
+    return new OllamaLLM({
+      baseURL: this.config.baseURL,
      model: key,
-      baseUrl: this.config.baseURL,
    });
  }

-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
+  async loadEmbeddingModel(key: string): Promise<BaseEmbedding<any>> {
    const modelList = await this.getModelList();
    const exists = modelList.embedding.find((m) => m.key === key);

@@ -104,9 +104,9 @@ class OllamaProvider extends BaseModelProvider<OllamaConfig> {
      );
    }

-    return new OllamaEmbeddings({
+    return new OllamaEmbedding({
      model: key,
-      baseUrl: this.config.baseURL,
+      baseURL: this.config.baseURL,
    });
  }

--- a/src/lib/models/providers/ollama/ollamaEmbedding.ts
+++ b/src/lib/models/providers/ollama/ollamaEmbedding.ts
@@ -0,0 +1,40 @@
+import { Ollama } from 'ollama';
+import BaseEmbedding from '../../base/embedding';
+import { Chunk } from '@/lib/types';
+
+type OllamaConfig = {
+  model: string;
+  baseURL?: string;
+};
+
+class OllamaEmbedding extends BaseEmbedding<OllamaConfig> {
+  ollamaClient: Ollama;
+
+  constructor(protected config: OllamaConfig) {
+    super(config);
+
+    this.ollamaClient = new Ollama({
+      host: this.config.baseURL || 'http://localhost:11434',
+    });
+  }
+
+  async embedText(texts: string[]): Promise<number[][]> {
+    const response = await this.ollamaClient.embed({
+      input: texts,
+      model: this.config.model,
+    });
+
+    return response.embeddings;
+  }
+
+  async embedChunks(chunks: Chunk[]): Promise<number[][]> {
+    const response = await this.ollamaClient.embed({
+      input: chunks.map((c) => c.content),
+      model: this.config.model,
+    });
+
+    return response.embeddings;
+  }
+}
+
+export default OllamaEmbedding;
--- a/src/lib/models/providers/ollama/ollamaLLM.ts
+++ b/src/lib/models/providers/ollama/ollamaLLM.ts
@@ -0,0 +1,153 @@
+import z from 'zod';
+import BaseLLM from '../../base/llm';
+import {
+  GenerateObjectInput,
+  GenerateOptions,
+  GenerateTextInput,
+  GenerateTextOutput,
+  StreamTextOutput,
+} from '../../types';
+import { Ollama } from 'ollama';
+import { parse } from 'partial-json';
+
+type OllamaConfig = {
+  baseURL: string;
+  model: string;
+  options?: GenerateOptions;
+};
+
+class OllamaLLM extends BaseLLM<OllamaConfig> {
+  ollamaClient: Ollama;
+
+  constructor(protected config: OllamaConfig) {
+    super(config);
+
+    this.ollamaClient = new Ollama({
+      host: this.config.baseURL || 'http://localhost:11434',
+    });
+  }
+
+  withOptions(options: GenerateOptions) {
+    this.config.options = {
+      ...this.config.options,
+      ...options,
+    };
+    return this;
+  }
+
+  async generateText(input: GenerateTextInput): Promise<GenerateTextOutput> {
+    this.withOptions(input.options || {});
+
+    const res = await this.ollamaClient.chat({
+      model: this.config.model,
+      messages: input.messages,
+      options: {
+        top_p: this.config.options?.topP,
+        temperature: this.config.options?.temperature,
+        num_predict: this.config.options?.maxTokens,
+        num_ctx: 32000,
+        frequency_penalty: this.config.options?.frequencyPenalty,
+        presence_penalty: this.config.options?.presencePenalty,
+        stop: this.config.options?.stopSequences,
+      },
+    });
+
+    return {
+      content: res.message.content,
+      additionalInfo: {
+        reasoning: res.message.thinking,
+      },
+    };
+  }
+
+  async *streamText(
+    input: GenerateTextInput,
+  ): AsyncGenerator<StreamTextOutput> {
+    this.withOptions(input.options || {});
+
+    const stream = await this.ollamaClient.chat({
+      model: this.config.model,
+      messages: input.messages,
+      stream: true,
+      options: {
+        top_p: this.config.options?.topP,
+        temperature: this.config.options?.temperature,
+        num_ctx: 32000,
+        num_predict: this.config.options?.maxTokens,
+        frequency_penalty: this.config.options?.frequencyPenalty,
+        presence_penalty: this.config.options?.presencePenalty,
+        stop: this.config.options?.stopSequences,
+      },
+    });
+
+    for await (const chunk of stream) {
+      yield {
+        contentChunk: chunk.message.content,
+        done: chunk.done,
+        additionalInfo: {
+          reasoning: chunk.message.thinking,
+        },
+      };
+    }
+  }
+
+  async generateObject<T>(input: GenerateObjectInput): Promise<T> {
+    this.withOptions(input.options || {});
+
+    const response = await this.ollamaClient.chat({
+      model: this.config.model,
+      messages: input.messages,
+      format: z.toJSONSchema(input.schema),
+      think: false,
+      options: {
+        top_p: this.config.options?.topP,
+        temperature: 0.7,
+        num_predict: this.config.options?.maxTokens,
+        frequency_penalty: this.config.options?.frequencyPenalty,
+        presence_penalty: this.config.options?.presencePenalty,
+        stop: this.config.options?.stopSequences,
+      },
+    });
+
+    try {
+      return input.schema.parse(JSON.parse(response.message.content)) as T;
+    } catch (err) {
+      throw new Error(`Error parsing response from Ollama: ${err}`);
+    }
+  }
+
+  async *streamObject<T>(input: GenerateObjectInput): AsyncGenerator<T> {
+    let recievedObj: string = '';
+
+    this.withOptions(input.options || {});
+
+    const stream = await this.ollamaClient.chat({
+      model: this.config.model,
+      messages: input.messages,
+      format: z.toJSONSchema(input.schema),
+      stream: true,
+      think: false,
+      options: {
+        top_p: this.config.options?.topP,
+        temperature: 0.7,
+        num_predict: this.config.options?.maxTokens,
+        frequency_penalty: this.config.options?.frequencyPenalty,
+        presence_penalty: this.config.options?.presencePenalty,
+        stop: this.config.options?.stopSequences,
+      },
+    });
+
+    for await (const chunk of stream) {
+      recievedObj += chunk.message.content;
+
+      try {
+        yield parse(recievedObj) as T;
+      } catch (err) {
+        console.log('Error parsing partial object from Ollama:', err);
+        yield {} as T;
+      }
+    }
+  }
+}
+
+export default OllamaLLM;
--- a/src/lib/models/providers/openai/index.ts
+++ b/src/lib/models/providers/openai/index.ts
@@ -1,10 +1,11 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
 import { UIConfigField } from '@/lib/config/types';
 import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
+import { Model, ModelList, ProviderMetadata } from '../../types';
+import OpenAIEmbedding from './openaiEmbedding';
+import BaseEmbedding from '../../base/embedding';
+import BaseModelProvider from '../../base/provider';
+import BaseLLM from '../../base/llm';
+import OpenAILLM from './openaiLLM';

 interface OpenAIConfig {
  apiKey: string;
@@ -145,7 +146,7 @@ class OpenAIProvider extends BaseModelProvider<OpenAIConfig> {
    };
  }

-  async loadChatModel(key: string): Promise<BaseChatModel> {
+  async loadChatModel(key: string): Promise<BaseLLM<any>> {
    const modelList = await this.getModelList();

    const exists = modelList.chat.find((m) => m.key === key);
@@ -156,17 +157,14 @@ class OpenAIProvider extends BaseModelProvider<OpenAIConfig> {
      );
    }

-    return new ChatOpenAI({
+    return new OpenAILLM({
      apiKey: this.config.apiKey,
-      temperature: 0.7,
      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
+      baseURL: this.config.baseURL,
    });
  }

-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
+  async loadEmbeddingModel(key: string): Promise<BaseEmbedding<any>> {
    const modelList = await this.getModelList();
    const exists = modelList.embedding.find((m) => m.key === key);

@@ -176,12 +174,10 @@ class OpenAIProvider extends BaseModelProvider<OpenAIConfig> {
      );
    }

-    return new OpenAIEmbeddings({
+    return new OpenAIEmbedding({
      apiKey: this.config.apiKey,
      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
+      baseURL: this.config.baseURL,
    });
  }

--- a/src/lib/models/providers/openai/openaiEmbedding.ts
+++ b/src/lib/models/providers/openai/openaiEmbedding.ts
@@ -0,0 +1,42 @@
+import OpenAI from 'openai';
+import BaseEmbedding from '../../base/embedding';
+import { Chunk } from '@/lib/types';
+
+type OpenAIConfig = {
+  apiKey: string;
+  model: string;
+  baseURL?: string;
+};
+
+class OpenAIEmbedding extends BaseEmbedding<OpenAIConfig> {
+  openAIClient: OpenAI;
+
+  constructor(protected config: OpenAIConfig) {
+    super(config);
+
+    this.openAIClient = new OpenAI({
+      apiKey: config.apiKey,
+      baseURL: config.baseURL,
+    });
+  }
+
+  async embedText(texts: string[]): Promise<number[][]> {
+    const response = await this.openAIClient.embeddings.create({
+      model: this.config.model,
+      input: texts,
+    });
+
+    return response.data.map((embedding) => embedding.embedding);
+  }
+
+  async embedChunks(chunks: Chunk[]): Promise<number[][]> {
+    const response = await this.openAIClient.embeddings.create({
+      model: this.config.model,
+      input: chunks.map((c) => c.content),
+    });
+
+    return response.data.map((embedding) => embedding.embedding);
+  }
+}
+
+export default OpenAIEmbedding;
--- a/src/lib/models/providers/openai/openaiLLM.ts
+++ b/src/lib/models/providers/openai/openaiLLM.ts
@@ -0,0 +1,163 @@
+import OpenAI from 'openai';
+import BaseLLM from '../../base/llm';
+import { zodTextFormat, zodResponseFormat } from 'openai/helpers/zod';
+import {
+  GenerateObjectInput,
+  GenerateOptions,
+  GenerateTextInput,
+  GenerateTextOutput,
+  StreamTextOutput,
+} from '../../types';
+import { parse } from 'partial-json';
+
+type OpenAIConfig = {
+  apiKey: string;
+  model: string;
+  baseURL?: string;
+  options?: GenerateOptions;
+};
+
+class OpenAILLM extends BaseLLM<OpenAIConfig> {
+  openAIClient: OpenAI;
+
+  constructor(protected config: OpenAIConfig) {
+    super(config);
+
+    this.openAIClient = new OpenAI({
+      apiKey: this.config.apiKey,
+      baseURL: this.config.baseURL || 'https://api.openai.com/v1',
+    });
+  }
+
+  withOptions(options: GenerateOptions) {
+    this.config.options = {
+      ...this.config.options,
+      ...options,
+    };
+
+    return this;
+  }
+
+  async generateText(input: GenerateTextInput): Promise<GenerateTextOutput> {
+    this.withOptions(input.options || {});
+
+    const response = await this.openAIClient.chat.completions.create({
+      model: this.config.model,
+      messages: input.messages,
+      temperature: this.config.options?.temperature || 1.0,
+      top_p: this.config.options?.topP,
+      max_completion_tokens: this.config.options?.maxTokens,
+      stop: this.config.options?.stopSequences,
+      frequency_penalty: this.config.options?.frequencyPenalty,
+      presence_penalty: this.config.options?.presencePenalty,
+    });
+
+    if (response.choices && response.choices.length > 0) {
+      return {
+        content: response.choices[0].message.content!,
+        additionalInfo: {
+          finishReason: response.choices[0].finish_reason,
+        },
+      };
+    }
+
+    throw new Error('No response from OpenAI');
+  }
+
+  async *streamText(
+    input: GenerateTextInput,
+  ): AsyncGenerator<StreamTextOutput> {
+    this.withOptions(input.options || {});
+
+    const stream = await this.openAIClient.chat.completions.create({
+      model: this.config.model,
+      messages: input.messages,
+      temperature: this.config.options?.temperature || 1.0,
+      top_p: this.config.options?.topP,
+      max_completion_tokens: this.config.options?.maxTokens,
+      stop: this.config.options?.stopSequences,
+      frequency_penalty: this.config.options?.frequencyPenalty,
+      presence_penalty: this.config.options?.presencePenalty,
+      stream: true,
+    });
+
+    for await (const chunk of stream) {
+      if (chunk.choices && chunk.choices.length > 0) {
+        yield {
+          contentChunk: chunk.choices[0].delta.content || '',
+          done: chunk.choices[0].finish_reason !== null,
+          additionalInfo: {
+            finishReason: chunk.choices[0].finish_reason,
+          },
+        };
+      }
+    }
+  }
+
+  async generateObject<T>(input: GenerateObjectInput): Promise<T> {
+    this.withOptions(input.options || {});
+
+    const response = await this.openAIClient.chat.completions.parse({
+      messages: input.messages,
+      model: this.config.model,
+      temperature: this.config.options?.temperature || 1.0,
+      top_p: this.config.options?.topP,
+      max_completion_tokens: this.config.options?.maxTokens,
+      stop: this.config.options?.stopSequences,
+      frequency_penalty: this.config.options?.frequencyPenalty,
+      presence_penalty: this.config.options?.presencePenalty,
+      response_format: zodResponseFormat(input.schema, 'object'),
+    });
+
+    if (response.choices && response.choices.length > 0) {
+      try {
+        return input.schema.parse(response.choices[0].message.parsed) as T;
+      } catch (err) {
+        throw new Error(`Error parsing response from OpenAI: ${err}`);
+      }
+    }
+
+    throw new Error('No response from OpenAI');
+  }
+
+  async *streamObject<T>(input: GenerateObjectInput): AsyncGenerator<T> {
+    let recievedObj: string = '';
+
+    this.withOptions(input.options || {});
+
+    const stream = this.openAIClient.responses.stream({
+      model: this.config.model,
+      input: input.messages,
+      temperature: this.config.options?.temperature || 1.0,
+      top_p: this.config.options?.topP,
+      max_completion_tokens: this.config.options?.maxTokens,
+      stop: this.config.options?.stopSequences,
+      frequency_penalty: this.config.options?.frequencyPenalty,
+      presence_penalty: this.config.options?.presencePenalty,
+      text: {
+        format: zodTextFormat(input.schema, 'object'),
+      },
+    });
+
+    for await (const chunk of stream) {
+      if (chunk.type === 'response.output_text.delta' && chunk.delta) {
+        recievedObj += chunk.delta;
+
+        try {
+          yield parse(recievedObj) as T;
+        } catch (err) {
+          console.log('Error parsing partial object from OpenAI:', err);
+          yield {} as T;
+        }
+      } else if (chunk.type === 'response.output_text.done' && chunk.text) {
+        try {
+          yield parse(chunk.text) as T;
+        } catch (err) {
+          throw new Error(`Error parsing response from OpenAI: ${err}`);
+        }
+      }
+    }
+  }
+}
+
+export default OpenAILLM;
--- a/src/lib/models/providers/transformers.ts
+++ b/src/lib/models/providers/transformers.ts
@@ -1,87 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-import { HuggingFaceTransformersEmbeddings } from '@langchain/community/embeddings/huggingface_transformers';
-interface TransformersConfig {}
-
-const defaultEmbeddingModels: Model[] = [
-  {
-    name: 'all-MiniLM-L6-v2',
-    key: 'Xenova/all-MiniLM-L6-v2',
-  },
-  {
-    name: 'mxbai-embed-large-v1',
-    key: 'mixedbread-ai/mxbai-embed-large-v1',
-  },
-  {
-    name: 'nomic-embed-text-v1',
-    key: 'Xenova/nomic-embed-text-v1',
-  },
-];
-
-const providerConfigFields: UIConfigField[] = [];
-
-class TransformersProvider extends BaseModelProvider<TransformersConfig> {
-  constructor(id: string, name: string, config: TransformersConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    return {
-      embedding: [...defaultEmbeddingModels],
-      chat: [],
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    throw new Error('Transformers Provider does not support chat models.');
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading OpenAI Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new HuggingFaceTransformersEmbeddings({
-      model: key,
-    });
-  }
-
-  static parseAndValidate(raw: any): TransformersConfig {
-    return {};
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'transformers',
-      name: 'Transformers',
-    };
-  }
-}
-
-export default TransformersProvider;
--- a/src/lib/models/registry.ts
+++ b/src/lib/models/registry.ts
@@ -1,7 +1,5 @@
 import { ConfigModelProvider } from '../config/types';
-import BaseModelProvider, {
-  createProviderInstance,
-} from './providers/baseProvider';
+import BaseModelProvider, { createProviderInstance } from './base/provider';
 import { getConfiguredModelProviders } from '../config/serverRegistry';
 import { providers } from './providers';
 import { MinimalProvider, ModelList } from './types';
--- a/src/lib/models/types.ts
+++ b/src/lib/models/types.ts
@@ -1,3 +1,6 @@
+import z from 'zod';
+import { ChatTurnMessage } from '../types';
+
 type Model = {
  name: string;
  key: string;
@@ -25,10 +28,59 @@ type ModelWithProvider = {
  providerId: string;
 };

+type GenerateOptions = {
+  temperature?: number;
+  maxTokens?: number;
+  topP?: number;
+  stopSequences?: string[];
+  frequencyPenalty?: number;
+  presencePenalty?: number;
+};
+
+type GenerateTextInput = {
+  messages: ChatTurnMessage[];
+  options?: GenerateOptions;
+};
+
+type GenerateTextOutput = {
+  content: string;
+  additionalInfo?: Record<string, any>;
+};
+
+type StreamTextOutput = {
+  contentChunk: string;
+  additionalInfo?: Record<string, any>;
+  done?: boolean;
+};
+
+type GenerateObjectInput = {
+  schema: z.ZodTypeAny;
+  messages: ChatTurnMessage[];
+  options?: GenerateOptions;
+};
+
+type GenerateObjectOutput<T> = {
+  object: T;
+  additionalInfo?: Record<string, any>;
+};
+
+type StreamObjectOutput<T> = {
+  objectChunk: Partial<T>;
+  additionalInfo?: Record<string, any>;
+  done?: boolean;
+};
+
 export type {
  Model,
  ModelList,
  ProviderMetadata,
  MinimalProvider,
  ModelWithProvider,
+  GenerateOptions,
+  GenerateTextInput,
+  GenerateTextOutput,
+  StreamTextOutput,
+  GenerateObjectInput,
+  GenerateObjectOutput,
+  StreamObjectOutput,
 };
--- a/src/lib/outputParsers/lineOutputParser.ts
+++ b/src/lib/outputParsers/lineOutputParser.ts
@@ -1,48 +0,0 @@
-import { BaseOutputParser } from '@langchain/core/output_parsers';
-
-interface LineOutputParserArgs {
-  key?: string;
-}
-
-class LineOutputParser extends BaseOutputParser<string | undefined> {
-  private key = 'questions';
-
-  constructor(args?: LineOutputParserArgs) {
-    super();
-    this.key = args?.key ?? this.key;
-  }
-
-  static lc_name() {
-    return 'LineOutputParser';
-  }
-
-  lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
-
-  async parse(text: string): Promise<string | undefined> {
-    text = text.trim() || '';
-
-    const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
-    const startKeyIndex = text.indexOf(`<${this.key}>`);
-    const endKeyIndex = text.indexOf(`</${this.key}>`);
-
-    if (startKeyIndex === -1 || endKeyIndex === -1) {
-      return undefined;
-    }
-
-    const questionsStartIndex =
-      startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
-    const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;
-    const line = text
-      .slice(questionsStartIndex, questionsEndIndex)
-      .trim()
-      .replace(regex, '');
-
-    return line;
-  }
-
-  getFormatInstructions(): string {
-    throw new Error('Not implemented.');
-  }
-}
-
-export default LineOutputParser;
--- a/src/lib/outputParsers/listLineOutputParser.ts
+++ b/src/lib/outputParsers/listLineOutputParser.ts
@@ -1,50 +0,0 @@
-import { BaseOutputParser } from '@langchain/core/output_parsers';
-
-interface LineListOutputParserArgs {
-  key?: string;
-}
-
-class LineListOutputParser extends BaseOutputParser<string[]> {
-  private key = 'questions';
-
-  constructor(args?: LineListOutputParserArgs) {
-    super();
-    this.key = args?.key ?? this.key;
-  }
-
-  static lc_name() {
-    return 'LineListOutputParser';
-  }
-
-  lc_namespace = ['langchain', 'output_parsers', 'line_list_output_parser'];
-
-  async parse(text: string): Promise<string[]> {
-    text = text.trim() || '';
-
-    const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
-    const startKeyIndex = text.indexOf(`<${this.key}>`);
-    const endKeyIndex = text.indexOf(`</${this.key}>`);
-
-    if (startKeyIndex === -1 || endKeyIndex === -1) {
-      return [];
-    }
-
-    const questionsStartIndex =
-      startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
-    const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;
-    const lines = text
-      .slice(questionsStartIndex, questionsEndIndex)
-      .trim()
-      .split('\n')
-      .filter((line) => line.trim() !== '')
-      .map((line) => line.replace(regex, ''));
-
-    return lines;
-  }
-
-  getFormatInstructions(): string {
-    throw new Error('Not implemented.');
-  }
-}
-
-export default LineListOutputParser;
--- a/src/lib/prompts/index.ts
+++ b/src/lib/prompts/index.ts
@@ -1,13 +0,0 @@
-import {
-  webSearchResponsePrompt,
-  webSearchRetrieverFewShots,
-  webSearchRetrieverPrompt,
-} from './webSearch';
-import { writingAssistantPrompt } from './writingAssistant';
-
-export default {
-  webSearchResponsePrompt,
-  webSearchRetrieverPrompt,
-  webSearchRetrieverFewShots,
-  writingAssistantPrompt,
-};
--- a/src/lib/prompts/media/image.ts
+++ b/src/lib/prompts/media/image.ts
@@ -0,0 +1,29 @@
+import { ChatTurnMessage } from '@/lib/types';
+
+export const imageSearchPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search the web for images.
+You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
+Output only the rephrased query in query key JSON format. Do not include any explanation or additional text.
+`;
+
+export const imageSearchFewShots: ChatTurnMessage[] = [
+  {
+    role: 'user',
+    content:
+      '<conversation>\n</conversation>\n<follow_up>\nWhat is a cat?\n</follow_up>',
+  },
+  { role: 'assistant', content: '{"query":"A cat"}' },
+
+  {
+    role: 'user',
+    content:
+      '<conversation>\n</conversation>\n<follow_up>\nWhat is a car? How does it work?\n</follow_up>',
+  },
+  { role: 'assistant', content: '{"query":"Car working"}' },
+  {
+    role: 'user',
+    content:
+      '<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
+  },
+  { role: 'assistant', content: '{"query":"AC working"}' },
+];
--- a/src/lib/prompts/media/videos.ts
+++ b/src/lib/prompts/media/videos.ts
@@ -0,0 +1,28 @@
+import { ChatTurnMessage } from '@/lib/types';
+
+export const videoSearchPrompt = `
+You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
+You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
+Output only the rephrased query in query key JSON format. Do not include any explanation or additional text.
+`;
+
+export const videoSearchFewShots: ChatTurnMessage[] = [
+  {
+    role: 'user',
+    content:
+      '<conversation>\n</conversation>\n<follow_up>\nHow does a car work?\n</follow_up>',
+  },
+  { role: 'assistant', content: '{"query":"How does a car work?"}' },
+  {
+    role: 'user',
+    content:
+      '<conversation>\n</conversation>\n<follow_up>\nWhat is the theory of relativity?\n</follow_up>',
+  },
+  { role: 'assistant', content: '{"query":"Theory of relativity"}' },
+  {
+    role: 'user',
+    content:
+      '<conversation>\n</conversation>\n<follow_up>\nHow does an AC work?\n</follow_up>',
+  },
+  { role: 'assistant', content: '{"query":"AC working"}' },
+];
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
ItzCrazyKns	0a62c60da2	feat(widgets): add LLM context to prevent context overflow	2025-11-24 15:35:00 +05:30
ItzCrazyKns	956a768a86	feat(app): handle new architecture	2025-11-23 19:58:46 +05:30
ItzCrazyKns	e0ba476ca4	feat(optimization): enable quality	2025-11-23 19:49:54 +05:30
ItzCrazyKns	cba3f43b19	feat(search-agent): add search agent flow	2025-11-23 19:49:36 +05:30
ItzCrazyKns	ec06a2b9ff	feat(researcher): use patching, streaming	2025-11-23 19:48:44 +05:30
ItzCrazyKns	1b4e883f57	feat(prompts): add writer prompt	2025-11-23 19:48:12 +05:30
ItzCrazyKns	f15802b688	feat(prompts): update research prompt	2025-11-23 19:48:05 +05:30
ItzCrazyKns	8dec689a45	feat(prompts): update classifier prompt	2025-11-23 19:47:28 +05:30
ItzCrazyKns	730ee0ff41	feat(intents): add private search	2025-11-23 19:47:18 +05:30
ItzCrazyKns	7c9258cfc9	feat(intents): update intent prompt	2025-11-23 19:47:11 +05:30
ItzCrazyKns	4e7143ce0c	feat(app): add initial widgets	2025-11-23 19:46:42 +05:30
ItzCrazyKns	d5f62f2dca	feat(chat): prevent auto-scroll unless message sent	2025-11-23 19:46:02 +05:30
ItzCrazyKns	b7b280637f	feat(providers): update ollama context window, temp	2025-11-23 19:26:47 +05:30
ItzCrazyKns	e22a39fd73	feat(routes): update routes to handle new llm types	2025-11-23 19:24:17 +05:30
ItzCrazyKns	6da6acbcd0	feat(agents): update media agents	2025-11-23 19:23:42 +05:30
ItzCrazyKns	0ac8569a9e	feat(agents): update suggestion generator	2025-11-23 19:23:18 +05:30
ItzCrazyKns	74bc08d189	Refactor types and imports for consistency	2025-11-23 19:22:27 +05:30
ItzCrazyKns	d7dd17c069	feat(app): fix type resolving issues	2025-11-23 19:22:11 +05:30
ItzCrazyKns	6d35d60b49	Remove unused output parsers and document utility	2025-11-23 19:21:16 +05:30
ItzCrazyKns	d6c364fdcb	feat(models): remove old providers	2025-11-22 22:23:10 +05:30
ItzCrazyKns	8d04f636d0	Delete index.ts	2025-11-22 22:22:43 +05:30
ItzCrazyKns	9ac2da3607	feat(app): remove old search agent	2025-11-22 22:22:34 +05:30
ItzCrazyKns	55cf88822d	feat(package): add modules	2025-11-21 23:58:04 +05:30
ItzCrazyKns	c4acc83fd5	feat(agents): add search agent	2025-11-21 23:57:50 +05:30
ItzCrazyKns	08feb18197	feat(search-agent): add researcher, research actions	2025-11-21 23:57:29 +05:30
ItzCrazyKns	0df0114e76	feat(prompts): add researcher prompt	2025-11-21 23:54:30 +05:30
ItzCrazyKns	4016b21bdf	Update formatHistory.ts	2025-11-21 23:54:16 +05:30
ItzCrazyKns	f7a43b3cb9	feat(session): use blocks, use rfc6902 for stream with patching	2025-11-21 23:52:55 +05:30
ItzCrazyKns	70bcd8c6f1	feat(types): add artifact to block, add more blocks	2025-11-21 23:51:09 +05:30
ItzCrazyKns	2568088341	feat(db): add new migration files	2025-11-21 23:49:52 +05:30
ItzCrazyKns	a494d4c329	feat(app): fix migration errors	2025-11-21 23:49:27 +05:30
ItzCrazyKns	9b85c63a80	feat(db): migrate schema	2025-11-21 23:49:14 +05:30
ItzCrazyKns	1614cfa5e5	feat(app): add widgets	2025-11-20 14:55:50 +05:30
ItzCrazyKns	036b44611f	feat(search): add classifier	2025-11-20 14:55:24 +05:30
ItzCrazyKns	8b515201f3	feat(app): add search types	2025-11-20 14:53:03 +05:30
ItzCrazyKns	cbcb03c7ac	feat(llm): update return type to partial	2025-11-20 14:52:41 +05:30
ItzCrazyKns	afc68ca91f	feat(ollamaLLM): disable thinking in obj mode	2025-11-20 14:52:24 +05:30
ItzCrazyKns	3cc8882b28	feat(prompts): add classifier prompt	2025-11-20 14:51:49 +05:30
ItzCrazyKns	c3830795cb	feat(app): add new session manager	2025-11-20 14:51:17 +05:30
ItzCrazyKns	f44ad973aa	feat(types): add llm types	2025-11-18 14:39:43 +05:30
ItzCrazyKns	4bcbdad6cb	feat(providers): implement custom classes	2025-11-18 14:39:04 +05:30
ItzCrazyKns	5272c7fd3e	feat(models): add new base classes	2025-11-18 14:38:12 +05:30
ItzCrazyKns	657a577ec8	feat(app): enhance UI	2025-11-18 14:37:41 +05:30
ItzCrazyKns	f6dac43d7a	feat(types): add message & chunk type	2025-11-18 01:17:19 +05:30
ItzCrazyKns	a00f2231d4	feat(chat-window): remove loading state	2025-11-14 23:17:41 +05:30
ItzCrazyKns	1da9b7655c	Merge branch 'canary' into feat/improve-search-architecture	2025-11-14 14:38:58 +05:30
ItzCrazyKns	2edef888a3	Merge branch 'master' into canary	2025-11-14 13:29:22 +05:30
ItzCrazyKns	2dc8078848	Update Exa sponsor image and README styling	2025-11-14 13:23:50 +05:30
ItzCrazyKns	8df81c20cf	Update README.md	2025-11-14 13:19:49 +05:30
ItzCrazyKns	34bd02236d	Update README.md	2025-11-14 13:17:52 +05:30
ItzCrazyKns	2430376a0c	feat(readme): update sponsers	2025-11-14 13:15:59 +05:30
ItzCrazyKns	bd5628b390	feat(package): bump langchain package	2025-11-14 11:45:48 +05:30
ItzCrazyKns	3d5d04eda0	Merge branch 'canary' into feat/improve-search-architecture	2025-11-13 11:54:24 +05:30
ItzCrazyKns	07a17925b1	feat(media-search): supply full history	2025-11-13 11:53:53 +05:30
ItzCrazyKns	3bcf646af1	feat(search-route): handle history processing after llm validation	2025-11-13 11:52:12 +05:30
ItzCrazyKns	e499c0b96e	feat(app): migrate video search chain	2025-11-13 11:51:25 +05:30
ItzCrazyKns	33b736e1e8	feat(app): migrate image search chain	2025-11-13 11:51:13 +05:30
Kushagra Srivastava	5e1746f646	Merge pull request #928 from ItzCrazyKns/master Merge master into canary	2025-11-13 11:49:42 +05:30
ItzCrazyKns	41fe009847	feat(app): migrate suggestion chain	2025-11-13 11:47:28 +05:30
ItzCrazyKns	1a8889c71c	feat(app): add new agents directory	2025-11-10 16:45:48 +05:30
ItzCrazyKns	70c1f7230c	feat(assets): remove old preview	2025-11-08 21:31:56 +05:30
ItzCrazyKns	c0771095a6	feat(app): lint & beautify	2025-10-30 17:21:48 +05:30
ItzCrazyKns	0856896aff	feat(settings): fix text size, enhance UI	2025-10-30 17:21:40 +05:30
ItzCrazyKns	3da53aed03	Merge branch 'master' of https://github.com/ItzCrazyKns/Perplexica	2025-10-30 11:36:30 +05:30
ItzCrazyKns	244675759c	feat(config): add `getAutoMediaSearch`, update uses	2025-10-30 11:29:14 +05:30
ItzCrazyKns	ce6a37aaff	feat(settingsFields): add switch field	2025-10-30 11:28:15 +05:30
ItzCrazyKns	c3abba8462	feat(settings): separate personalization & preferences	2025-10-29 23:13:51 +05:30
ItzCrazyKns	f709aa8224	feat(config): add new switch config field	2025-10-29 23:12:09 +05:30
Kushagra Srivastava	22695f4ef6	Merge pull request #916 from skoved/gemini-embedding-fix fix: list all available gemini embedding models	2025-10-28 21:56:44 +05:30
skoved	75ef2e0282	fix: list all available gemini embedding models the new settings window does not list all available gemini embedding models. this happens because some gemini embedding models have `embedContent` instead of `embedText`	2025-10-28 11:31:41 -04:00
ItzCrazyKns	b0d97c4c83	feat(readme): revert to screenshot for now	2025-10-27 16:49:57 +05:30
ItzCrazyKns	6527388e25	Update demo.gif	2025-10-27 15:27:50 +05:30
ItzCrazyKns	7397e33f29	feat(app): rename providers to connection, enhance UX	2025-10-27 15:08:50 +05:30
ItzCrazyKns	f6ffa9ebe0	feat(readme): enhance readme	2025-10-27 13:09:59 +05:30
ItzCrazyKns	f9e675823b	Create demo.gif	2025-10-27 12:57:34 +05:30
ItzCrazyKns	2e736613c5	Merge branch 'master' into canary	2025-10-27 11:43:18 +05:30
ItzCrazyKns	046daf442a	feat(docker): update searxng build script	2025-10-23 19:06:27 +05:30