feat(app): remove backend

src/app/api/chat/route.ts

@@ -0,0 +1,360 @@
+import prompts from '@/lib/prompts';
+import MetaSearchAgent from '@/lib/search/metaSearchAgent';
+import crypto from 'crypto';
+import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { EventEmitter } from 'stream';
+import {
+  chatModelProviders,
+  embeddingModelProviders,
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
+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 { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { ChatOpenAI } from '@langchain/openai';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+
+export const runtime = 'nodejs';
+export const dynamic = 'force-dynamic';
+
+const searchHandlers: Record<string, MetaSearchAgent> = {
+  webSearch: new MetaSearchAgent({
+    activeEngines: [],
+    queryGeneratorPrompt: prompts.webSearchRetrieverPrompt,
+    responsePrompt: prompts.webSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0.3,
+    searchWeb: true,
+    summarizer: true,
+  }),
+  academicSearch: new MetaSearchAgent({
+    activeEngines: ['arxiv', 'google scholar', 'pubmed'],
+    queryGeneratorPrompt: prompts.academicSearchRetrieverPrompt,
+    responsePrompt: prompts.academicSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0,
+    searchWeb: true,
+    summarizer: false,
+  }),
+  writingAssistant: new MetaSearchAgent({
+    activeEngines: [],
+    queryGeneratorPrompt: '',
+    responsePrompt: prompts.writingAssistantPrompt,
+    rerank: true,
+    rerankThreshold: 0,
+    searchWeb: false,
+    summarizer: false,
+  }),
+  wolframAlphaSearch: new MetaSearchAgent({
+    activeEngines: ['wolframalpha'],
+    queryGeneratorPrompt: prompts.wolframAlphaSearchRetrieverPrompt,
+    responsePrompt: prompts.wolframAlphaSearchResponsePrompt,
+    rerank: false,
+    rerankThreshold: 0,
+    searchWeb: true,
+    summarizer: false,
+  }),
+  youtubeSearch: new MetaSearchAgent({
+    activeEngines: ['youtube'],
+    queryGeneratorPrompt: prompts.youtubeSearchRetrieverPrompt,
+    responsePrompt: prompts.youtubeSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0.3,
+    searchWeb: true,
+    summarizer: false,
+  }),
+  redditSearch: new MetaSearchAgent({
+    activeEngines: ['reddit'],
+    queryGeneratorPrompt: prompts.redditSearchRetrieverPrompt,
+    responsePrompt: prompts.redditSearchResponsePrompt,
+    rerank: true,
+    rerankThreshold: 0.3,
+    searchWeb: true,
+    summarizer: false,
+  }),
+};
+
+type Message = {
+  messageId: string;
+  chatId: string;
+  content: string;
+};
+
+type ChatModel = {
+  provider: string;
+  name: string;
+};
+
+type EmbeddingModel = {
+  provider: string;
+  name: string;
+};
+
+type Body = {
+  message: Message;
+  optimizationMode: 'speed' | 'balanced' | 'quality';
+  focusMode: string;
+  history: Array<[string, string]>;
+  files: Array<string>;
+  chatModel: ChatModel;
+  embeddingModel: EmbeddingModel;
+};
+
+const handleEmitterEvents = async (
+  stream: EventEmitter,
+  writer: WritableStreamDefaultWriter,
+  encoder: TextEncoder,
+  aiMessageId: string,
+  chatId: string,
+) => {
+  let recievedMessage = '';
+  let sources: any[] = [];
+
+  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',
+        ),
+      );
+
+      recievedMessage += parsedData.data;
+    } else if (parsedData.type === 'sources') {
+      writer.write(
+        encoder.encode(
+          JSON.stringify({
+            type: 'sources',
+            data: parsedData.data,
+            messageId: aiMessageId,
+          }) + '\n',
+        ),
+      );
+
+      sources = parsedData.data;
+    }
+  });
+  stream.on('end', () => {
+    writer.write(
+      encoder.encode(
+        JSON.stringify({
+          type: 'messageEnd',
+          messageId: aiMessageId,
+        }) + '\n',
+      ),
+    );
+    writer.close();
+
+    db.insert(messagesSchema)
+      .values({
+        content: recievedMessage,
+        chatId: chatId,
+        messageId: aiMessageId,
+        role: 'assistant',
+        metadata: JSON.stringify({
+          createdAt: new Date(),
+          ...(sources && sources.length > 0 && { sources }),
+        }),
+      })
+      .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),
+  });
+
+  if (!chat) {
+    await db
+      .insert(chats)
+      .values({
+        id: message.chatId,
+        title: message.content,
+        createdAt: new Date().toString(),
+        focusMode: focusMode,
+        files: files.map(getFileDetails),
+      })
+      .execute();
+  }
+
+  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',
+        metadata: JSON.stringify({
+          createdAt: new Date(),
+        }),
+      })
+      .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 body = (await req.json()) as Body;
+    const { message } = body;
+
+    if (message.content === '') {
+      return Response.json(
+        {
+          message: 'Please provide a message to process',
+        },
+        { status: 400 },
+      );
+    }
+
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
+    ]);
+
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.name || Object.keys(chatModelProvider)[0]
+      ];
+
+    const embeddingProvider =
+      embeddingModelProviders[
+        body.embeddingModel?.provider || Object.keys(embeddingModelProviders)[0]
+      ];
+    const embeddingModel =
+      embeddingProvider[
+        body.embeddingModel?.name || Object.keys(embeddingProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+    let embedding = embeddingModel.model;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        openAIApiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
+
+    if (!embedding) {
+      return Response.json(
+        { error: 'Invalid embedding model' },
+        { status: 400 },
+      );
+    }
+
+    const humanMessageId =
+      message.messageId ?? crypto.randomBytes(7).toString('hex');
+    const aiMessageId = crypto.randomBytes(7).toString('hex');
+
+    const history: BaseMessage[] = body.history.map((msg) => {
+      if (msg[0] === 'human') {
+        return new HumanMessage({
+          content: msg[1],
+        });
+      } else {
+        return new AIMessage({
+          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,
+    );
+
+    const responseStream = new TransformStream();
+    const writer = responseStream.writable.getWriter();
+    const encoder = new TextEncoder();
+
+    handleEmitterEvents(stream, writer, encoder, aiMessageId, message.chatId);
+    handleHistorySave(message, humanMessageId, body.focusMode, body.files);
+
+    return new Response(responseStream.readable, {
+      headers: {
+        'Content-Type': 'text/event-stream',
+        Connection: 'keep-alive',
+        'Cache-Control': 'no-cache, no-transform',
+      },
+    });
+  } catch (err) {
+    console.error('An error ocurred while processing chat request:', err);
+    return Response.json(
+      { message: 'An error ocurred while processing chat request' },
+      { status: 500 },
+    );
+  }
+};

src/app/api/chats/[id]/route.ts

@@ -0,0 +1,69 @@
+import db from '@/lib/db';
+import { chats, messages } from '@/lib/db/schema';
+import { eq } from 'drizzle-orm';
+
+export const GET = async (
+  req: Request,
+  { params }: { params: Promise<{ id: string }> },
+) => {
+  try {
+    const { id } = await params;
+
+    const chatExists = await db.query.chats.findFirst({
+      where: eq(chats.id, id),
+    });
+
+    if (!chatExists) {
+      return Response.json({ message: 'Chat not found' }, { status: 404 });
+    }
+
+    const chatMessages = await db.query.messages.findMany({
+      where: eq(messages.chatId, id),
+    });
+
+    return Response.json(
+      {
+        chat: chatExists,
+        messages: chatMessages,
+      },
+      { status: 200 },
+    );
+  } catch (err) {
+    console.error('Error in getting chat by id: ', err);
+    return Response.json(
+      { message: 'An error has occurred.' },
+      { status: 500 },
+    );
+  }
+};
+
+export const DELETE = async (
+  req: Request,
+  { params }: { params: Promise<{ id: string }> },
+) => {
+  try {
+    const { id } = await params;
+
+    const chatExists = await db.query.chats.findFirst({
+      where: eq(chats.id, id),
+    });
+
+    if (!chatExists) {
+      return Response.json({ message: 'Chat not found' }, { status: 404 });
+    }
+
+    await db.delete(chats).where(eq(chats.id, id)).execute();
+    await db.delete(messages).where(eq(messages.chatId, id)).execute();
+
+    return Response.json(
+      { message: 'Chat deleted successfully' },
+      { status: 200 },
+    );
+  } catch (err) {
+    console.error('Error in deleting chat by id: ', err);
+    return Response.json(
+      { message: 'An error has occurred.' },
+      { status: 500 },
+    );
+  }
+};

src/app/api/chats/route.ts

@@ -0,0 +1,15 @@
+import db from '@/lib/db';
+
+export const GET = async (req: Request) => {
+  try {
+    let chats = await db.query.chats.findMany();
+    chats = chats.reverse();
+    return Response.json({ chats: chats }, { status: 200 });
+  } catch (err) {
+    console.error('Error in getting chats: ', err);
+    return Response.json(
+      { message: 'An error has occurred.' },
+      { status: 500 },
+    );
+  }
+};

src/app/api/config/route.ts

@@ -0,0 +1,109 @@
+import {
+  getAnthropicApiKey,
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+  getGeminiApiKey,
+  getGroqApiKey,
+  getOllamaApiEndpoint,
+  getOpenaiApiKey,
+  updateConfig,
+} from '@/lib/config';
+import {
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
+
+export const GET = async (req: Request) => {
+  try {
+    const config: Record<string, any> = {};
+
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
+    ]);
+
+    config['chatModelProviders'] = {};
+    config['embeddingModelProviders'] = {};
+
+    for (const provider in chatModelProviders) {
+      config['chatModelProviders'][provider] = Object.keys(
+        chatModelProviders[provider],
+      ).map((model) => {
+        return {
+          name: model,
+          displayName: chatModelProviders[provider][model].displayName,
+        };
+      });
+    }
+
+    for (const provider in embeddingModelProviders) {
+      config['embeddingModelProviders'][provider] = Object.keys(
+        embeddingModelProviders[provider],
+      ).map((model) => {
+        return {
+          name: model,
+          displayName: embeddingModelProviders[provider][model].displayName,
+        };
+      });
+    }
+
+    config['openaiApiKey'] = getOpenaiApiKey();
+    config['ollamaApiUrl'] = getOllamaApiEndpoint();
+    config['anthropicApiKey'] = getAnthropicApiKey();
+    config['groqApiKey'] = getGroqApiKey();
+    config['geminiApiKey'] = getGeminiApiKey();
+    config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
+    config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
+    config['customOpenaiModelName'] = getCustomOpenaiModelName();
+
+    return Response.json({ ...config }, { status: 200 });
+  } catch (err) {
+    console.error('An error ocurred while getting config:', err);
+    return Response.json(
+      { message: 'An error ocurred while getting config' },
+      { status: 500 },
+    );
+  }
+};
+
+export const POST = async (req: Request) => {
+  try {
+    const config = await req.json();
+
+    const updatedConfig = {
+      MODELS: {
+        OPENAI: {
+          API_KEY: config.openaiApiKey,
+        },
+        GROQ: {
+          API_KEY: config.groqApiKey,
+        },
+        ANTHROPIC: {
+          API_KEY: config.anthropicApiKey,
+        },
+        GEMINI: {
+          API_KEY: config.geminiApiKey,
+        },
+        OLLAMA: {
+          API_URL: config.ollamaApiUrl,
+        },
+        CUSTOM_OPENAI: {
+          API_URL: config.customOpenaiApiUrl,
+          API_KEY: config.customOpenaiApiKey,
+          MODEL_NAME: config.customOpenaiModelName,
+        },
+      },
+    };
+
+    updateConfig(updatedConfig);
+
+    return Response.json({ message: 'Config updated' }, { status: 200 });
+  } catch (err) {
+    console.error('An error ocurred while updating config:', err);
+    return Response.json(
+      { message: 'An error ocurred while updating config' },
+      { status: 500 },
+    );
+  }
+};

src/app/api/discover/route.ts

@@ -0,0 +1,61 @@
+import { searchSearxng } from '@/lib/searxng';
+
+const articleWebsites = [
+  'yahoo.com',
+  'www.exchangewire.com',
+  'businessinsider.com',
+  /* 'wired.com',
+  'mashable.com',
+  'theverge.com',
+  'gizmodo.com',
+  'cnet.com',
+  'venturebeat.com', */
+];
+
+const topics = ['AI', 'tech']; /* TODO: Add UI to customize this */
+
+export const GET = async (req: Request) => {
+  try {
+    const data = (
+      await Promise.all([
+        ...new Array(articleWebsites.length * topics.length)
+          .fill(0)
+          .map(async (_, i) => {
+            return (
+              await searchSearxng(
+                `site:${articleWebsites[i % articleWebsites.length]} ${
+                  topics[i % topics.length]
+                }`,
+                {
+                  engines: ['bing news'],
+                  pageno: 1,
+                },
+              )
+            ).results;
+          }),
+      ])
+    )
+      .map((result) => result)
+      .flat()
+      .sort(() => Math.random() - 0.5);
+
+    return Response.json(
+      {
+        blogs: data,
+      },
+      {
+        status: 200,
+      },
+    );
+  } catch (err) {
+    console.error(`An error ocurred in discover route: ${err}`);
+    return Response.json(
+      {
+        message: 'An error has occurred',
+      },
+      {
+        status: 500,
+      },
+    );
+  }
+};

src/app/api/images/route.ts

@@ -0,0 +1,83 @@
+import handleImageSearch from '@/lib/chains/imageSearchAgent';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { getAvailableChatModelProviders } from '@/lib/providers';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { ChatOpenAI } from '@langchain/openai';
+
+interface ChatModel {
+  provider: string;
+  model: string;
+}
+
+interface ImageSearchBody {
+  query: string;
+  chatHistory: any[];
+  chatModel?: ChatModel;
+}
+
+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 chatModelProviders = await getAvailableChatModelProviders();
+
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.model || Object.keys(chatModelProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        openAIApiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
+
+    const images = await handleImageSearch(
+      {
+        chat_history: chatHistory,
+        query: body.query,
+      },
+      llm,
+    );
+
+    return Response.json({ images }, { status: 200 });
+  } catch (err) {
+    console.error(`An error ocurred while searching images: ${err}`);
+    return Response.json(
+      { message: 'An error ocurred while searching images' },
+      { status: 500 },
+    );
+  }
+};

src/app/api/models/route.ts

@@ -0,0 +1,47 @@
+import {
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
+
+export const GET = async (req: Request) => {
+  try {
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
+    ]);
+
+    Object.keys(chatModelProviders).forEach((provider) => {
+      Object.keys(chatModelProviders[provider]).forEach((model) => {
+        delete (chatModelProviders[provider][model] as { model?: unknown })
+          .model;
+      });
+    });
+
+    Object.keys(embeddingModelProviders).forEach((provider) => {
+      Object.keys(embeddingModelProviders[provider]).forEach((model) => {
+        delete (embeddingModelProviders[provider][model] as { model?: unknown })
+          .model;
+      });
+    });
+
+    return Response.json(
+      {
+        chatModelProviders,
+        embeddingModelProviders,
+      },
+      {
+        status: 200,
+      },
+    );
+  } catch (err) {
+    console.error('An error ocurred while fetching models', err);
+    return Response.json(
+      {
+        message: 'An error has occurred.',
+      },
+      {
+        status: 500,
+      },
+    );
+  }
+};

src/app/api/suggestions/route.ts

@@ -0,0 +1,81 @@
+import generateSuggestions from '@/lib/chains/suggestionGeneratorAgent';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { getAvailableChatModelProviders } from '@/lib/providers';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { ChatOpenAI } from '@langchain/openai';
+
+interface ChatModel {
+  provider: string;
+  model: string;
+}
+
+interface SuggestionsGenerationBody {
+  chatHistory: any[];
+  chatModel?: ChatModel;
+}
+
+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 chatModelProviders = await getAvailableChatModelProviders();
+
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.model || Object.keys(chatModelProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        openAIApiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
+
+    const suggestions = await generateSuggestions(
+      {
+        chat_history: chatHistory,
+      },
+      llm,
+    );
+
+    return Response.json({ suggestions }, { status: 200 });
+  } catch (err) {
+    console.error(`An error ocurred while generating suggestions: ${err}`);
+    return Response.json(
+      { message: 'An error ocurred while generating suggestions' },
+      { status: 500 },
+    );
+  }
+};

src/app/api/uploads/route.ts

@@ -0,0 +1,134 @@
+import { NextResponse } from 'next/server';
+import fs from 'fs';
+import path from 'path';
+import crypto from 'crypto';
+import { getAvailableEmbeddingModelProviders } from '@/lib/providers';
+import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf';
+import { DocxLoader } from '@langchain/community/document_loaders/fs/docx';
+import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters';
+import { Document } from 'langchain/document';
+
+interface FileRes {
+  fileName: string;
+  fileExtension: string;
+  fileId: string;
+}
+
+const uploadDir = path.join(process.cwd(), 'uploads');
+
+if (!fs.existsSync(uploadDir)) {
+  fs.mkdirSync(uploadDir, { recursive: true });
+}
+
+const splitter = new RecursiveCharacterTextSplitter({
+  chunkSize: 500,
+  chunkOverlap: 100,
+});
+
+export async function POST(req: Request) {
+  try {
+    const formData = await req.formData();
+
+    const files = formData.getAll('files') as File[];
+    const embedding_model = formData.get('embedding_model');
+    const embedding_model_provider = formData.get('embedding_model_provider');
+
+    if (!embedding_model || !embedding_model_provider) {
+      return NextResponse.json(
+        { message: 'Missing embedding model or provider' },
+        { status: 400 },
+      );
+    }
+
+    const embeddingModels = await getAvailableEmbeddingModelProviders();
+    const provider =
+      embedding_model_provider ?? Object.keys(embeddingModels)[0];
+    const embeddingModel =
+      embedding_model ?? Object.keys(embeddingModels[provider as string])[0];
+
+    let embeddingsModel =
+      embeddingModels[provider as string]?.[embeddingModel as string]?.model;
+    if (!embeddingsModel) {
+      return NextResponse.json(
+        { message: 'Invalid embedding model selected' },
+        { status: 400 },
+      );
+    }
+
+    const processedFiles: FileRes[] = [];
+
+    await Promise.all(
+      files.map(async (file: any) => {
+        const fileExtension = file.name.split('.').pop();
+        if (!['pdf', 'docx', 'txt'].includes(fileExtension!)) {
+          return NextResponse.json(
+            { message: 'File type not supported' },
+            { status: 400 },
+          );
+        }
+
+        const uniqueFileName = `${crypto.randomBytes(16).toString('hex')}.${fileExtension}`;
+        const filePath = path.join(uploadDir, uniqueFileName);
+
+        const buffer = Buffer.from(await file.arrayBuffer());
+        fs.writeFileSync(filePath, new Uint8Array(buffer));
+
+        let docs: any[] = [];
+        if (fileExtension === 'pdf') {
+          const loader = new PDFLoader(filePath);
+          docs = await loader.load();
+        } else if (fileExtension === 'docx') {
+          const loader = new DocxLoader(filePath);
+          docs = await loader.load();
+        } else if (fileExtension === 'txt') {
+          const text = fs.readFileSync(filePath, 'utf-8');
+          docs = [
+            new Document({ pageContent: text, metadata: { title: file.name } }),
+          ];
+        }
+
+        const splitted = await splitter.splitDocuments(docs);
+
+        const extractedDataPath = filePath.replace(/\.\w+$/, '-extracted.json');
+        fs.writeFileSync(
+          extractedDataPath,
+          JSON.stringify({
+            title: file.name,
+            contents: splitted.map((doc) => doc.pageContent),
+          }),
+        );
+
+        const embeddings = await embeddingsModel.embedDocuments(
+          splitted.map((doc) => doc.pageContent),
+        );
+        const embeddingsDataPath = filePath.replace(
+          /\.\w+$/,
+          '-embeddings.json',
+        );
+        fs.writeFileSync(
+          embeddingsDataPath,
+          JSON.stringify({
+            title: file.name,
+            embeddings,
+          }),
+        );
+
+        processedFiles.push({
+          fileName: file.name,
+          fileExtension: fileExtension,
+          fileId: uniqueFileName.replace(/\.\w+$/, ''),
+        });
+      }),
+    );
+
+    return NextResponse.json({
+      files: processedFiles,
+    });
+  } catch (error) {
+    console.error('Error uploading file:', error);
+    return NextResponse.json(
+      { message: 'An error has occurred.' },
+      { status: 500 },
+    );
+  }
+}

src/app/api/videos/route.ts

@@ -0,0 +1,83 @@
+import handleVideoSearch from '@/lib/chains/videoSearchAgent';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { getAvailableChatModelProviders } from '@/lib/providers';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { ChatOpenAI } from '@langchain/openai';
+
+interface ChatModel {
+  provider: string;
+  model: string;
+}
+
+interface VideoSearchBody {
+  query: string;
+  chatHistory: any[];
+  chatModel?: ChatModel;
+}
+
+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 chatModelProviders = await getAvailableChatModelProviders();
+
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.model || Object.keys(chatModelProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        openAIApiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
+
+    const videos = await handleVideoSearch(
+      {
+        chat_history: chatHistory,
+        query: body.query,
+      },
+      llm,
+    );
+
+    return Response.json({ videos }, { status: 200 });
+  } catch (err) {
+    console.error(`An error ocurred while searching videos: ${err}`);
+    return Response.json(
+      { message: 'An error ocurred while searching videos' },
+      { status: 500 },
+    );
+  }
+};

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

@@ -0,0 +1,9 @@
+import ChatWindow from '@/components/ChatWindow';
+import React from 'react';
+
+const Page = ({ params }: { params: Promise<{ chatId: string }> }) => {
+  const { chatId } = React.use(params);
+  return <ChatWindow id={chatId} />;
+};
+
+export default Page;

src/app/discover/page.tsx

@@ -0,0 +1,113 @@
+'use client';
+
+import { Search } from 'lucide-react';
+import { useEffect, useState } from 'react';
+import Link from 'next/link';
+import { toast } from 'sonner';
+
+interface Discover {
+  title: string;
+  content: string;
+  url: string;
+  thumbnail: string;
+}
+
+const Page = () => {
+  const [discover, setDiscover] = useState<Discover[] | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    const fetchData = async () => {
+      try {
+        const res = await fetch(`/api/discover`, {
+          method: 'GET',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        });
+
+        const data = await res.json();
+
+        if (!res.ok) {
+          throw new Error(data.message);
+        }
+
+        data.blogs = data.blogs.filter((blog: Discover) => blog.thumbnail);
+
+        setDiscover(data.blogs);
+      } catch (err: any) {
+        console.error('Error fetching data:', err.message);
+        toast.error('Error fetching data');
+      } finally {
+        setLoading(false);
+      }
+    };
+
+    fetchData();
+  }, []);
+
+  return loading ? (
+    <div className="flex flex-row items-center justify-center min-h-screen">
+      <svg
+        aria-hidden="true"
+        className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
+        viewBox="0 0 100 101"
+        fill="none"
+        xmlns="http://www.w3.org/2000/svg"
+      >
+        <path
+          d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
+          fill="currentColor"
+        />
+        <path
+          d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
+          fill="currentFill"
+        />
+      </svg>
+    </div>
+  ) : (
+    <>
+      <div>
+        <div className="flex flex-col pt-4">
+          <div className="flex items-center">
+            <Search />
+            <h1 className="text-3xl font-medium p-2">Discover</h1>
+          </div>
+          <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+        </div>
+
+        <div className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4 pb-28 lg:pb-8 w-full justify-items-center lg:justify-items-start">
+          {discover &&
+            discover?.map((item, i) => (
+              <Link
+                href={`/?q=Summary: ${item.url}`}
+                key={i}
+                className="max-w-sm rounded-lg overflow-hidden bg-light-secondary dark:bg-dark-secondary hover:-translate-y-[1px] transition duration-200"
+                target="_blank"
+              >
+                <img
+                  className="object-cover w-full aspect-video"
+                  src={
+                    new URL(item.thumbnail).origin +
+                    new URL(item.thumbnail).pathname +
+                    `?id=${new URL(item.thumbnail).searchParams.get('id')}`
+                  }
+                  alt={item.title}
+                />
+                <div className="px-6 py-4">
+                  <div className="font-bold text-lg mb-2">
+                    {item.title.slice(0, 100)}...
+                  </div>
+                  <p className="text-black-70 dark:text-white/70 text-sm">
+                    {item.content.slice(0, 100)}...
+                  </p>
+                </div>
+              </Link>
+            ))}
+        </div>
+      </div>
+    </>
+  );
+};
+
+export default Page;

src/app/globals.css

@@ -0,0 +1,13 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+@layer base {
+  .overflow-hidden-scrollable {
+    -ms-overflow-style: none;
+  }
+
+  .overflow-hidden-scrollable::-webkit-scrollbar {
+    display: none;
+  }
+}

src/app/layout.tsx

@@ -0,0 +1,45 @@
+import type { Metadata } from 'next';
+import { Montserrat } from 'next/font/google';
+import './globals.css';
+import { cn } from '@/lib/utils';
+import Sidebar from '@/components/Sidebar';
+import { Toaster } from 'sonner';
+import ThemeProvider from '@/components/theme/Provider';
+
+const montserrat = Montserrat({
+  weight: ['300', '400', '500', '700'],
+  subsets: ['latin'],
+  display: 'swap',
+  fallback: ['Arial', 'sans-serif'],
+});
+
+export const metadata: Metadata = {
+  title: 'Perplexica - Chat with the internet',
+  description:
+    'Perplexica is an AI powered chatbot that is connected to the internet.',
+};
+
+export default function RootLayout({
+  children,
+}: Readonly<{
+  children: React.ReactNode;
+}>) {
+  return (
+    <html className="h-full" lang="en" suppressHydrationWarning>
+      <body className={cn('h-full', montserrat.className)}>
+        <ThemeProvider>
+          <Sidebar>{children}</Sidebar>
+          <Toaster
+            toastOptions={{
+              unstyled: true,
+              classNames: {
+                toast:
+                  'bg-light-primary dark:bg-dark-secondary dark:text-white/70 text-black-70 rounded-lg p-4 flex flex-row items-center space-x-2',
+              },
+            }}
+          />
+        </ThemeProvider>
+      </body>
+    </html>
+  );
+}

src/app/library/layout.tsx

@@ -0,0 +1,12 @@
+import { Metadata } from 'next';
+import React from 'react';
+
+export const metadata: Metadata = {
+  title: 'Library - Perplexica',
+};
+
+const Layout = ({ children }: { children: React.ReactNode }) => {
+  return <div>{children}</div>;
+};
+
+export default Layout;

src/app/library/page.tsx

@@ -0,0 +1,114 @@
+'use client';
+
+import DeleteChat from '@/components/DeleteChat';
+import { cn, formatTimeDifference } from '@/lib/utils';
+import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
+import Link from 'next/link';
+import { useEffect, useState } from 'react';
+
+export interface Chat {
+  id: string;
+  title: string;
+  createdAt: string;
+  focusMode: string;
+}
+
+const Page = () => {
+  const [chats, setChats] = useState<Chat[]>([]);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    const fetchChats = async () => {
+      setLoading(true);
+
+      const res = await fetch(`/api/chats`, {
+        method: 'GET',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+
+      const data = await res.json();
+
+      setChats(data.chats);
+      setLoading(false);
+    };
+
+    fetchChats();
+  }, []);
+
+  return loading ? (
+    <div className="flex flex-row items-center justify-center min-h-screen">
+      <svg
+        aria-hidden="true"
+        className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
+        viewBox="0 0 100 101"
+        fill="none"
+        xmlns="http://www.w3.org/2000/svg"
+      >
+        <path
+          d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
+          fill="currentColor"
+        />
+        <path
+          d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
+          fill="currentFill"
+        />
+      </svg>
+    </div>
+  ) : (
+    <div>
+      <div className="flex flex-col pt-4">
+        <div className="flex items-center">
+          <BookOpenText />
+          <h1 className="text-3xl font-medium p-2">Library</h1>
+        </div>
+        <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+      </div>
+      {chats.length === 0 && (
+        <div className="flex flex-row items-center justify-center min-h-screen">
+          <p className="text-black/70 dark:text-white/70 text-sm">
+            No chats found.
+          </p>
+        </div>
+      )}
+      {chats.length > 0 && (
+        <div className="flex flex-col pb-20 lg:pb-2">
+          {chats.map((chat, i) => (
+            <div
+              className={cn(
+                'flex flex-col space-y-4 py-6',
+                i !== chats.length - 1
+                  ? 'border-b border-white-200 dark:border-dark-200'
+                  : '',
+              )}
+              key={i}
+            >
+              <Link
+                href={`/c/${chat.id}`}
+                className="text-black dark:text-white lg:text-xl font-medium truncate transition duration-200 hover:text-[#24A0ED] dark:hover:text-[#24A0ED] cursor-pointer"
+              >
+                {chat.title}
+              </Link>
+              <div className="flex flex-row items-center justify-between w-full">
+                <div className="flex flex-row items-center space-x-1 lg:space-x-1.5 text-black/70 dark:text-white/70">
+                  <ClockIcon size={15} />
+                  <p className="text-xs">
+                    {formatTimeDifference(new Date(), chat.createdAt)} Ago
+                  </p>
+                </div>
+                <DeleteChat
+                  chatId={chat.id}
+                  chats={chats}
+                  setChats={setChats}
+                />
+              </div>
+            </div>
+          ))}
+        </div>
+      )}
+    </div>
+  );
+};
+
+export default Page;

src/app/page.tsx

@@ -0,0 +1,20 @@
+import ChatWindow from '@/components/ChatWindow';
+import { Metadata } from 'next';
+import { Suspense } from 'react';
+
+export const metadata: Metadata = {
+  title: 'Chat - Perplexica',
+  description: 'Chat with the internet, chat with Perplexica.',
+};
+
+const Home = () => {
+  return (
+    <div>
+      <Suspense>
+        <ChatWindow />
+      </Suspense>
+    </div>
+  );
+};
+
+export default Home;

src/app/settings/page.tsx

@@ -0,0 +1,800 @@
+'use client';
+
+import { Settings as SettingsIcon, ArrowLeft, Loader2 } from 'lucide-react';
+import { useEffect, useState } from 'react';
+import { cn } from '@/lib/utils';
+import { Switch } from '@headlessui/react';
+import ThemeSwitcher from '@/components/theme/Switcher';
+import { ImagesIcon, VideoIcon } from 'lucide-react';
+import Link from 'next/link';
+
+interface SettingsType {
+  chatModelProviders: {
+    [key: string]: [Record<string, any>];
+  };
+  embeddingModelProviders: {
+    [key: string]: [Record<string, any>];
+  };
+  openaiApiKey: string;
+  groqApiKey: string;
+  anthropicApiKey: string;
+  geminiApiKey: string;
+  ollamaApiUrl: string;
+  customOpenaiApiKey: string;
+  customOpenaiApiUrl: string;
+  customOpenaiModelName: string;
+}
+
+interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {
+  isSaving?: boolean;
+  onSave?: (value: string) => void;
+}
+
+const Input = ({ className, isSaving, onSave, ...restProps }: InputProps) => {
+  return (
+    <div className="relative">
+      <input
+        {...restProps}
+        className={cn(
+          'bg-light-secondary dark:bg-dark-secondary w-full px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
+          isSaving && 'pr-10',
+          className,
+        )}
+        onBlur={(e) => onSave?.(e.target.value)}
+      />
+      {isSaving && (
+        <div className="absolute right-3 top-1/2 -translate-y-1/2">
+          <Loader2
+            size={16}
+            className="animate-spin text-black/70 dark:text-white/70"
+          />
+        </div>
+      )}
+    </div>
+  );
+};
+
+const Select = ({
+  className,
+  options,
+  ...restProps
+}: React.SelectHTMLAttributes<HTMLSelectElement> & {
+  options: { value: string; label: string; disabled?: boolean }[];
+}) => {
+  return (
+    <select
+      {...restProps}
+      className={cn(
+        'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
+        className,
+      )}
+    >
+      {options.map(({ label, value, disabled }) => (
+        <option key={value} value={value} disabled={disabled}>
+          {label}
+        </option>
+      ))}
+    </select>
+  );
+};
+
+const SettingsSection = ({
+  title,
+  children,
+}: {
+  title: string;
+  children: React.ReactNode;
+}) => (
+  <div className="flex flex-col space-y-4 p-4 bg-light-secondary/50 dark:bg-dark-secondary/50 rounded-xl border border-light-200 dark:border-dark-200">
+    <h2 className="text-black/90 dark:text-white/90 font-medium">{title}</h2>
+    {children}
+  </div>
+);
+
+const Page = () => {
+  const [config, setConfig] = useState<SettingsType | null>(null);
+  const [chatModels, setChatModels] = useState<Record<string, any>>({});
+  const [embeddingModels, setEmbeddingModels] = useState<Record<string, any>>(
+    {},
+  );
+  const [selectedChatModelProvider, setSelectedChatModelProvider] = useState<
+    string | null
+  >(null);
+  const [selectedChatModel, setSelectedChatModel] = useState<string | null>(
+    null,
+  );
+  const [selectedEmbeddingModelProvider, setSelectedEmbeddingModelProvider] =
+    useState<string | null>(null);
+  const [selectedEmbeddingModel, setSelectedEmbeddingModel] = useState<
+    string | null
+  >(null);
+  const [isLoading, setIsLoading] = useState(false);
+  const [automaticImageSearch, setAutomaticImageSearch] = useState(false);
+  const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
+  const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});
+
+  useEffect(() => {
+    const fetchConfig = async () => {
+      setIsLoading(true);
+      const res = await fetch(`/api/config`, {
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+
+      const data = (await res.json()) as SettingsType;
+      setConfig(data);
+
+      const chatModelProvidersKeys = Object.keys(data.chatModelProviders || {});
+      const embeddingModelProvidersKeys = Object.keys(
+        data.embeddingModelProviders || {},
+      );
+
+      const defaultChatModelProvider =
+        chatModelProvidersKeys.length > 0 ? chatModelProvidersKeys[0] : '';
+      const defaultEmbeddingModelProvider =
+        embeddingModelProvidersKeys.length > 0
+          ? embeddingModelProvidersKeys[0]
+          : '';
+
+      const chatModelProvider =
+        localStorage.getItem('chatModelProvider') ||
+        defaultChatModelProvider ||
+        '';
+      const chatModel =
+        localStorage.getItem('chatModel') ||
+        (data.chatModelProviders &&
+        data.chatModelProviders[chatModelProvider]?.length > 0
+          ? data.chatModelProviders[chatModelProvider][0].name
+          : undefined) ||
+        '';
+      const embeddingModelProvider =
+        localStorage.getItem('embeddingModelProvider') ||
+        defaultEmbeddingModelProvider ||
+        '';
+      const embeddingModel =
+        localStorage.getItem('embeddingModel') ||
+        (data.embeddingModelProviders &&
+          data.embeddingModelProviders[embeddingModelProvider]?.[0].name) ||
+        '';
+
+      setSelectedChatModelProvider(chatModelProvider);
+      setSelectedChatModel(chatModel);
+      setSelectedEmbeddingModelProvider(embeddingModelProvider);
+      setSelectedEmbeddingModel(embeddingModel);
+      setChatModels(data.chatModelProviders || {});
+      setEmbeddingModels(data.embeddingModelProviders || {});
+
+      setAutomaticImageSearch(
+        localStorage.getItem('autoImageSearch') === 'true',
+      );
+      setAutomaticVideoSearch(
+        localStorage.getItem('autoVideoSearch') === 'true',
+      );
+
+      setIsLoading(false);
+    };
+
+    fetchConfig();
+  }, []);
+
+  const saveConfig = async (key: string, value: any) => {
+    setSavingStates((prev) => ({ ...prev, [key]: true }));
+
+    try {
+      const updatedConfig = {
+        ...config,
+        [key]: value,
+      } as SettingsType;
+
+      const response = await fetch(`/api/config`, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify(updatedConfig),
+      });
+
+      if (!response.ok) {
+        throw new Error('Failed to update config');
+      }
+
+      setConfig(updatedConfig);
+
+      if (
+        key.toLowerCase().includes('api') ||
+        key.toLowerCase().includes('url')
+      ) {
+        const res = await fetch(`/api/config`, {
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        });
+
+        if (!res.ok) {
+          throw new Error('Failed to fetch updated config');
+        }
+
+        const data = await res.json();
+
+        setChatModels(data.chatModelProviders || {});
+        setEmbeddingModels(data.embeddingModelProviders || {});
+
+        const currentChatProvider = selectedChatModelProvider;
+        const newChatProviders = Object.keys(data.chatModelProviders || {});
+
+        if (!currentChatProvider && newChatProviders.length > 0) {
+          const firstProvider = newChatProviders[0];
+          const firstModel = data.chatModelProviders[firstProvider]?.[0]?.name;
+
+          if (firstModel) {
+            setSelectedChatModelProvider(firstProvider);
+            setSelectedChatModel(firstModel);
+            localStorage.setItem('chatModelProvider', firstProvider);
+            localStorage.setItem('chatModel', firstModel);
+          }
+        } else if (
+          currentChatProvider &&
+          (!data.chatModelProviders ||
+            !data.chatModelProviders[currentChatProvider] ||
+            !Array.isArray(data.chatModelProviders[currentChatProvider]) ||
+            data.chatModelProviders[currentChatProvider].length === 0)
+        ) {
+          const firstValidProvider = Object.entries(
+            data.chatModelProviders || {},
+          ).find(
+            ([_, models]) => Array.isArray(models) && models.length > 0,
+          )?.[0];
+
+          if (firstValidProvider) {
+            setSelectedChatModelProvider(firstValidProvider);
+            setSelectedChatModel(
+              data.chatModelProviders[firstValidProvider][0].name,
+            );
+            localStorage.setItem('chatModelProvider', firstValidProvider);
+            localStorage.setItem(
+              'chatModel',
+              data.chatModelProviders[firstValidProvider][0].name,
+            );
+          } else {
+            setSelectedChatModelProvider(null);
+            setSelectedChatModel(null);
+            localStorage.removeItem('chatModelProvider');
+            localStorage.removeItem('chatModel');
+          }
+        }
+
+        const currentEmbeddingProvider = selectedEmbeddingModelProvider;
+        const newEmbeddingProviders = Object.keys(
+          data.embeddingModelProviders || {},
+        );
+
+        if (!currentEmbeddingProvider && newEmbeddingProviders.length > 0) {
+          const firstProvider = newEmbeddingProviders[0];
+          const firstModel =
+            data.embeddingModelProviders[firstProvider]?.[0]?.name;
+
+          if (firstModel) {
+            setSelectedEmbeddingModelProvider(firstProvider);
+            setSelectedEmbeddingModel(firstModel);
+            localStorage.setItem('embeddingModelProvider', firstProvider);
+            localStorage.setItem('embeddingModel', firstModel);
+          }
+        } else if (
+          currentEmbeddingProvider &&
+          (!data.embeddingModelProviders ||
+            !data.embeddingModelProviders[currentEmbeddingProvider] ||
+            !Array.isArray(
+              data.embeddingModelProviders[currentEmbeddingProvider],
+            ) ||
+            data.embeddingModelProviders[currentEmbeddingProvider].length === 0)
+        ) {
+          const firstValidProvider = Object.entries(
+            data.embeddingModelProviders || {},
+          ).find(
+            ([_, models]) => Array.isArray(models) && models.length > 0,
+          )?.[0];
+
+          if (firstValidProvider) {
+            setSelectedEmbeddingModelProvider(firstValidProvider);
+            setSelectedEmbeddingModel(
+              data.embeddingModelProviders[firstValidProvider][0].name,
+            );
+            localStorage.setItem('embeddingModelProvider', firstValidProvider);
+            localStorage.setItem(
+              'embeddingModel',
+              data.embeddingModelProviders[firstValidProvider][0].name,
+            );
+          } else {
+            setSelectedEmbeddingModelProvider(null);
+            setSelectedEmbeddingModel(null);
+            localStorage.removeItem('embeddingModelProvider');
+            localStorage.removeItem('embeddingModel');
+          }
+        }
+
+        setConfig(data);
+      }
+
+      if (key === 'automaticImageSearch') {
+        localStorage.setItem('autoImageSearch', value.toString());
+      } else if (key === 'automaticVideoSearch') {
+        localStorage.setItem('autoVideoSearch', value.toString());
+      } else if (key === 'chatModelProvider') {
+        localStorage.setItem('chatModelProvider', value);
+      } else if (key === 'chatModel') {
+        localStorage.setItem('chatModel', value);
+      } else if (key === 'embeddingModelProvider') {
+        localStorage.setItem('embeddingModelProvider', value);
+      } else if (key === 'embeddingModel') {
+        localStorage.setItem('embeddingModel', value);
+      }
+    } catch (err) {
+      console.error('Failed to save:', err);
+      setConfig((prev) => ({ ...prev! }));
+    } finally {
+      setTimeout(() => {
+        setSavingStates((prev) => ({ ...prev, [key]: false }));
+      }, 500);
+    }
+  };
+
+  return (
+    <div className="max-w-3xl mx-auto">
+      <div className="flex flex-col pt-4">
+        <div className="flex items-center space-x-2">
+          <Link href="/" className="lg:hidden">
+            <ArrowLeft className="text-black/70 dark:text-white/70" />
+          </Link>
+          <div className="flex flex-row space-x-0.5 items-center">
+            <SettingsIcon size={23} />
+            <h1 className="text-3xl font-medium p-2">Settings</h1>
+          </div>
+        </div>
+        <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+      </div>
+
+      {isLoading ? (
+        <div className="flex flex-row items-center justify-center min-h-[50vh]">
+          <svg
+            aria-hidden="true"
+            className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
+            viewBox="0 0 100 101"
+            fill="none"
+            xmlns="http://www.w3.org/2000/svg"
+          >
+            <path
+              d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
+              fill="currentColor"
+            />
+            <path
+              d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
+              fill="currentFill"
+            />
+          </svg>
+        </div>
+      ) : (
+        config && (
+          <div className="flex flex-col space-y-6 pb-28 lg:pb-8">
+            <SettingsSection title="Appearance">
+              <div className="flex flex-col space-y-1">
+                <p className="text-black/70 dark:text-white/70 text-sm">
+                  Theme
+                </p>
+                <ThemeSwitcher />
+              </div>
+            </SettingsSection>
+
+            <SettingsSection title="Automatic Search">
+              <div className="flex flex-col space-y-4">
+                <div className="flex items-center justify-between p-3 bg-light-secondary dark:bg-dark-secondary rounded-lg hover:bg-light-200 dark:hover:bg-dark-200 transition-colors">
+                  <div className="flex items-center space-x-3">
+                    <div className="p-2 bg-light-200 dark:bg-dark-200 rounded-lg">
+                      <ImagesIcon
+                        size={18}
+                        className="text-black/70 dark:text-white/70"
+                      />
+                    </div>
+                    <div>
+                      <p className="text-sm text-black/90 dark:text-white/90 font-medium">
+                        Automatic Image Search
+                      </p>
+                      <p className="text-xs text-black/60 dark:text-white/60 mt-0.5">
+                        Automatically search for relevant images in chat
+                        responses
+                      </p>
+                    </div>
+                  </div>
+                  <Switch
+                    checked={automaticImageSearch}
+                    onChange={(checked) => {
+                      setAutomaticImageSearch(checked);
+                      saveConfig('automaticImageSearch', checked);
+                    }}
+                    className={cn(
+                      automaticImageSearch
+                        ? 'bg-[#24A0ED]'
+                        : 'bg-light-200 dark:bg-dark-200',
+                      'relative inline-flex h-6 w-11 items-center rounded-full transition-colors focus:outline-none',
+                    )}
+                  >
+                    <span
+                      className={cn(
+                        automaticImageSearch
+                          ? 'translate-x-6'
+                          : 'translate-x-1',
+                        'inline-block h-4 w-4 transform rounded-full bg-white transition-transform',
+                      )}
+                    />
+                  </Switch>
+                </div>
+
+                <div className="flex items-center justify-between p-3 bg-light-secondary dark:bg-dark-secondary rounded-lg hover:bg-light-200 dark:hover:bg-dark-200 transition-colors">
+                  <div className="flex items-center space-x-3">
+                    <div className="p-2 bg-light-200 dark:bg-dark-200 rounded-lg">
+                      <VideoIcon
+                        size={18}
+                        className="text-black/70 dark:text-white/70"
+                      />
+                    </div>
+                    <div>
+                      <p className="text-sm text-black/90 dark:text-white/90 font-medium">
+                        Automatic Video Search
+                      </p>
+                      <p className="text-xs text-black/60 dark:text-white/60 mt-0.5">
+                        Automatically search for relevant videos in chat
+                        responses
+                      </p>
+                    </div>
+                  </div>
+                  <Switch
+                    checked={automaticVideoSearch}
+                    onChange={(checked) => {
+                      setAutomaticVideoSearch(checked);
+                      saveConfig('automaticVideoSearch', checked);
+                    }}
+                    className={cn(
+                      automaticVideoSearch
+                        ? 'bg-[#24A0ED]'
+                        : 'bg-light-200 dark:bg-dark-200',
+                      'relative inline-flex h-6 w-11 items-center rounded-full transition-colors focus:outline-none',
+                    )}
+                  >
+                    <span
+                      className={cn(
+                        automaticVideoSearch
+                          ? 'translate-x-6'
+                          : 'translate-x-1',
+                        'inline-block h-4 w-4 transform rounded-full bg-white transition-transform',
+                      )}
+                    />
+                  </Switch>
+                </div>
+              </div>
+            </SettingsSection>
+
+            <SettingsSection title="Model Settings">
+              {config.chatModelProviders && (
+                <div className="flex flex-col space-y-4">
+                  <div className="flex flex-col space-y-1">
+                    <p className="text-black/70 dark:text-white/70 text-sm">
+                      Chat Model Provider
+                    </p>
+                    <Select
+                      value={selectedChatModelProvider ?? undefined}
+                      onChange={(e) => {
+                        const value = e.target.value;
+                        setSelectedChatModelProvider(value);
+                        saveConfig('chatModelProvider', value);
+                        const firstModel =
+                          config.chatModelProviders[value]?.[0]?.name;
+                        if (firstModel) {
+                          setSelectedChatModel(firstModel);
+                          saveConfig('chatModel', firstModel);
+                        }
+                      }}
+                      options={Object.keys(config.chatModelProviders).map(
+                        (provider) => ({
+                          value: provider,
+                          label:
+                            provider.charAt(0).toUpperCase() +
+                            provider.slice(1),
+                        }),
+                      )}
+                    />
+                  </div>
+
+                  {selectedChatModelProvider &&
+                    selectedChatModelProvider != 'custom_openai' && (
+                      <div className="flex flex-col space-y-1">
+                        <p className="text-black/70 dark:text-white/70 text-sm">
+                          Chat Model
+                        </p>
+                        <Select
+                          value={selectedChatModel ?? undefined}
+                          onChange={(e) => {
+                            const value = e.target.value;
+                            setSelectedChatModel(value);
+                            saveConfig('chatModel', value);
+                          }}
+                          options={(() => {
+                            const chatModelProvider =
+                              config.chatModelProviders[
+                                selectedChatModelProvider
+                              ];
+                            return chatModelProvider
+                              ? chatModelProvider.length > 0
+                                ? chatModelProvider.map((model) => ({
+                                    value: model.name,
+                                    label: model.displayName,
+                                  }))
+                                : [
+                                    {
+                                      value: '',
+                                      label: 'No models available',
+                                      disabled: true,
+                                    },
+                                  ]
+                              : [
+                                  {
+                                    value: '',
+                                    label:
+                                      'Invalid provider, please check backend logs',
+                                    disabled: true,
+                                  },
+                                ];
+                          })()}
+                        />
+                      </div>
+                    )}
+                </div>
+              )}
+
+              {selectedChatModelProvider &&
+                selectedChatModelProvider === 'custom_openai' && (
+                  <div className="flex flex-col space-y-4">
+                    <div className="flex flex-col space-y-1">
+                      <p className="text-black/70 dark:text-white/70 text-sm">
+                        Model Name
+                      </p>
+                      <Input
+                        type="text"
+                        placeholder="Model name"
+                        value={config.customOpenaiModelName}
+                        isSaving={savingStates['customOpenaiModelName']}
+                        onChange={(e: React.ChangeEvent<HTMLInputElement>) => {
+                          setConfig((prev) => ({
+                            ...prev!,
+                            customOpenaiModelName: e.target.value,
+                          }));
+                        }}
+                        onSave={(value) =>
+                          saveConfig('customOpenaiModelName', value)
+                        }
+                      />
+                    </div>
+                    <div className="flex flex-col space-y-1">
+                      <p className="text-black/70 dark:text-white/70 text-sm">
+                        Custom OpenAI API Key
+                      </p>
+                      <Input
+                        type="text"
+                        placeholder="Custom OpenAI API Key"
+                        value={config.customOpenaiApiKey}
+                        isSaving={savingStates['customOpenaiApiKey']}
+                        onChange={(e: React.ChangeEvent<HTMLInputElement>) => {
+                          setConfig((prev) => ({
+                            ...prev!,
+                            customOpenaiApiKey: e.target.value,
+                          }));
+                        }}
+                        onSave={(value) =>
+                          saveConfig('customOpenaiApiKey', value)
+                        }
+                      />
+                    </div>
+                    <div className="flex flex-col space-y-1">
+                      <p className="text-black/70 dark:text-white/70 text-sm">
+                        Custom OpenAI Base URL
+                      </p>
+                      <Input
+                        type="text"
+                        placeholder="Custom OpenAI Base URL"
+                        value={config.customOpenaiApiUrl}
+                        isSaving={savingStates['customOpenaiApiUrl']}
+                        onChange={(e: React.ChangeEvent<HTMLInputElement>) => {
+                          setConfig((prev) => ({
+                            ...prev!,
+                            customOpenaiApiUrl: e.target.value,
+                          }));
+                        }}
+                        onSave={(value) =>
+                          saveConfig('customOpenaiApiUrl', value)
+                        }
+                      />
+                    </div>
+                  </div>
+                )}
+
+              {config.embeddingModelProviders && (
+                <div className="flex flex-col space-y-4 mt-4 pt-4 border-t border-light-200 dark:border-dark-200">
+                  <div className="flex flex-col space-y-1">
+                    <p className="text-black/70 dark:text-white/70 text-sm">
+                      Embedding Model Provider
+                    </p>
+                    <Select
+                      value={selectedEmbeddingModelProvider ?? undefined}
+                      onChange={(e) => {
+                        const value = e.target.value;
+                        setSelectedEmbeddingModelProvider(value);
+                        saveConfig('embeddingModelProvider', value);
+                        const firstModel =
+                          config.embeddingModelProviders[value]?.[0]?.name;
+                        if (firstModel) {
+                          setSelectedEmbeddingModel(firstModel);
+                          saveConfig('embeddingModel', firstModel);
+                        }
+                      }}
+                      options={Object.keys(config.embeddingModelProviders).map(
+                        (provider) => ({
+                          value: provider,
+                          label:
+                            provider.charAt(0).toUpperCase() +
+                            provider.slice(1),
+                        }),
+                      )}
+                    />
+                  </div>
+
+                  {selectedEmbeddingModelProvider && (
+                    <div className="flex flex-col space-y-1">
+                      <p className="text-black/70 dark:text-white/70 text-sm">
+                        Embedding Model
+                      </p>
+                      <Select
+                        value={selectedEmbeddingModel ?? undefined}
+                        onChange={(e) => {
+                          const value = e.target.value;
+                          setSelectedEmbeddingModel(value);
+                          saveConfig('embeddingModel', value);
+                        }}
+                        options={(() => {
+                          const embeddingModelProvider =
+                            config.embeddingModelProviders[
+                              selectedEmbeddingModelProvider
+                            ];
+                          return embeddingModelProvider
+                            ? embeddingModelProvider.length > 0
+                              ? embeddingModelProvider.map((model) => ({
+                                  value: model.name,
+                                  label: model.displayName,
+                                }))
+                              : [
+                                  {
+                                    value: '',
+                                    label: 'No models available',
+                                    disabled: true,
+                                  },
+                                ]
+                            : [
+                                {
+                                  value: '',
+                                  label:
+                                    'Invalid provider, please check backend logs',
+                                  disabled: true,
+                                },
+                              ];
+                        })()}
+                      />
+                    </div>
+                  )}
+                </div>
+              )}
+            </SettingsSection>
+
+            <SettingsSection title="API Keys">
+              <div className="flex flex-col space-y-4">
+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    OpenAI API Key
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="OpenAI API Key"
+                    value={config.openaiApiKey}
+                    isSaving={savingStates['openaiApiKey']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        openaiApiKey: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('openaiApiKey', value)}
+                  />
+                </div>
+
+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    Ollama API URL
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="Ollama API URL"
+                    value={config.ollamaApiUrl}
+                    isSaving={savingStates['ollamaApiUrl']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        ollamaApiUrl: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('ollamaApiUrl', value)}
+                  />
+                </div>
+
+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    GROQ API Key
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="GROQ API Key"
+                    value={config.groqApiKey}
+                    isSaving={savingStates['groqApiKey']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        groqApiKey: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('groqApiKey', value)}
+                  />
+                </div>
+
+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    Anthropic API Key
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="Anthropic API key"
+                    value={config.anthropicApiKey}
+                    isSaving={savingStates['anthropicApiKey']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        anthropicApiKey: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('anthropicApiKey', value)}
+                  />
+                </div>
+
+                <div className="flex flex-col space-y-1">
+                  <p className="text-black/70 dark:text-white/70 text-sm">
+                    Gemini API Key
+                  </p>
+                  <Input
+                    type="text"
+                    placeholder="Gemini API key"
+                    value={config.geminiApiKey}
+                    isSaving={savingStates['geminiApiKey']}
+                    onChange={(e) => {
+                      setConfig((prev) => ({
+                        ...prev!,
+                        geminiApiKey: e.target.value,
+                      }));
+                    }}
+                    onSave={(value) => saveConfig('geminiApiKey', value)}
+                  />
+                </div>
+              </div>
+            </SettingsSection>
+          </div>
+        )
+      )}
+    </div>
+  );
+};
+
+export default Page;