Update README.md

docs: add ClawCloud Run button

README.md

@@ -1,21 +1,5 @@
 # 🚀 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/>
-
 [![Discord](https://dcbadge.vercel.app/api/server/26aArMy8tT?style=flat&compact=true)](https://discord.gg/26aArMy8tT)
 
 ![preview](.assets/perplexica-screenshot.png?)
@@ -159,6 +143,7 @@ Perplexica runs on Next.js and handles all API requests. It works right away on
 
 [![Deploy to Sealos](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://usw.sealos.io/?openapp=system-template%3FtemplateName%3Dperplexica)
 [![Deploy to RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploylobe.svg)](https://repocloud.io/details/?app_id=267)
+[![Run on ClawCloud](https://raw.githubusercontent.com/ClawCloud/Run-Template/refs/heads/main/Run-on-ClawCloud.svg)](https://template.run.claw.cloud/?referralCode=U11MRQ8U9RM4&openapp=system-fastdeploy%3FtemplateName%3Dperplexica)
 
 ## Upcoming Features
 

sample.config.toml

@@ -25,5 +25,8 @@ API_URL = "" # Ollama API URL - http://host.docker.internal:11434
 [MODELS.DEEPSEEK]
 API_KEY = ""
 
+[MODELS.LM_STUDIO]
+API_URL = "" # LM Studio API URL - http://host.docker.internal:1234
+
 [API_ENDPOINTS]
 SEARXNG = "" # SearxNG API URL - http://localhost:32768

src/app/api/chat/route.ts

@@ -29,7 +29,6 @@ type Message = {
   messageId: string;
   chatId: string;
   content: string;
-  userSessionId: string;
 };
 
 type ChatModel = {
@@ -139,7 +138,6 @@ const handleHistorySave = async (
     where: eq(chats.id, message.chatId),
   });
 
-  let currentDate = new Date();
   if (!chat) {
     await db
       .insert(chats)
@@ -149,8 +147,6 @@ const handleHistorySave = async (
         createdAt: new Date().toString(),
         focusMode: focusMode,
         files: files.map(getFileDetails),
-        userSessionId: message.userSessionId,
-        timestamp: currentDate.toISOString(),
       })
       .execute();
   }

src/app/api/chats/route.ts

@@ -1,47 +1,10 @@
 import db from '@/lib/db';
-import { chats } from '@/lib/db/schema';
-import { eq, sql} from 'drizzle-orm';
 
 export const GET = async (req: Request) => {
   try {
-    // get header from request
+    let chats = await db.query.chats.findMany();
-    const headers = await req.headers;
+    chats = chats.reverse();
-    const userSessionId = headers.get('user-session-id')?.toString() ?? '';
+    return Response.json({ chats: chats }, { status: 200 });
-    const maxRecordLimit = parseInt(headers.get('max-record-limit') || '20', 10);
-
-    if (userSessionId == '') {
-      return Response.json({ chats: {} }, { status: 200 });
-    }
-    
-    let chatsRes = await db.query.chats.findMany({
-      where: eq(chats.userSessionId, userSessionId),
-    });
-    
-    chatsRes = chatsRes.reverse();
-    // Keep only the latest records in the database. Delete older records.
-    if (chatsRes.length > maxRecordLimit) {
-      const deleteChatsQuery = sql`DELETE FROM chats
-        WHERE userSessionId = ${userSessionId} AND (
-          timestamp IS NULL OR
-          timestamp NOT in (
-            SELECT timestamp FROM chats
-            WHERE userSessionId = ${userSessionId}
-            ORDER BY timestamp DESC
-            LIMIT ${maxRecordLimit}
-          )
-        )
-      `;
-      await db.run(deleteChatsQuery);
-      // Delete messages that no longer link with the chat from the database.
-      const deleteMessagesQuery = sql`DELETE FROM messages
-        WHERE chatId NOT IN (
-          SELECT id FROM chats
-        )
-      `;
-      await db.run(deleteMessagesQuery);
-    }
-
-    return Response.json({ chats: chatsRes }, { status: 200 });
   } catch (err) {
     console.error('Error in getting chats: ', err);
     return Response.json(

src/app/api/config/route.ts

@@ -8,6 +8,7 @@ import {
   getOllamaApiEndpoint,
   getOpenaiApiKey,
   getDeepseekApiKey,
+  getLMStudioApiEndpoint,
   updateConfig,
 } from '@/lib/config';
 import {
@@ -51,6 +52,7 @@ export const GET = async (req: Request) => {
 
     config['openaiApiKey'] = getOpenaiApiKey();
     config['ollamaApiUrl'] = getOllamaApiEndpoint();
+    config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
     config['anthropicApiKey'] = getAnthropicApiKey();
     config['groqApiKey'] = getGroqApiKey();
     config['geminiApiKey'] = getGeminiApiKey();
@@ -93,6 +95,9 @@ export const POST = async (req: Request) => {
         DEEPSEEK: {
           API_KEY: config.deepseekApiKey,
         },
+        LM_STUDIO: {
+          API_URL: config.lmStudioApiUrl,
+        },
         CUSTOM_OPENAI: {
           API_URL: config.customOpenaiApiUrl,
           API_KEY: config.customOpenaiApiKey,

src/app/library/page.tsx

@@ -1,6 +1,5 @@
 'use client';
 
-import crypto from 'crypto';
 import DeleteChat from '@/components/DeleteChat';
 import { cn, formatTimeDifference } from '@/lib/utils';
 import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
@@ -22,34 +21,10 @@ const Page = () => {
     const fetchChats = async () => {
       setLoading(true);
 
-      let userSessionId = localStorage.getItem('userSessionId');
-      if (!userSessionId) {
-        userSessionId = crypto.randomBytes(20).toString('hex');
-        localStorage.setItem('userSessionId', userSessionId)
-      }
-
-      // Get maxRecordLimit from localStorage or set default
-      let maxRecordLimit = localStorage.getItem('maxRecordLimit');
-      if (!maxRecordLimit) {
-        maxRecordLimit = '20';
-        localStorage.setItem('maxRecordLimit', maxRecordLimit);
-      } else {
-        let valueInt = parseInt(maxRecordLimit, 10) || 20;
-        if (valueInt < 1) {
-          valueInt = 1;
-        } else if (valueInt > 100) {
-          valueInt = 100;
-        }
-        maxRecordLimit = valueInt.toString();
-        localStorage.setItem('maxRecordLimit', maxRecordLimit);
-      }
-
       const res = await fetch(`/api/chats`, {
         method: 'GET',
         headers: {
           'Content-Type': 'application/json',
-          'user-session-id': userSessionId!,
-          'max-record-limit': maxRecordLimit,
         },
       });
 

src/app/settings/page.tsx

@@ -7,6 +7,7 @@ import { Switch } from '@headlessui/react';
 import ThemeSwitcher from '@/components/theme/Switcher';
 import { ImagesIcon, VideoIcon } from 'lucide-react';
 import Link from 'next/link';
+import { PROVIDER_METADATA } from '@/lib/providers';
 
 interface SettingsType {
   chatModelProviders: {
@@ -20,11 +21,11 @@ interface SettingsType {
   anthropicApiKey: string;
   geminiApiKey: string;
   ollamaApiUrl: string;
+  lmStudioApiUrl: string;
   deepseekApiKey: string;
   customOpenaiApiKey: string;
   customOpenaiApiUrl: string;
   customOpenaiModelName: string;
-  maxRecordLimit: string;
 }
 
 interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {
@@ -147,7 +148,6 @@ const Page = () => {
   const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false);
   const [systemInstructions, setSystemInstructions] = useState<string>('');
   const [savingStates, setSavingStates] = useState<Record<string, boolean>>({});
-  const [maxRecordLimit, setMaxRecordLimit] = useState<string>('20');
 
   useEffect(() => {
     const fetchConfig = async () => {
@@ -210,8 +210,6 @@ const Page = () => {
 
       setSystemInstructions(localStorage.getItem('systemInstructions')!);
 
-      setMaxRecordLimit(localStorage.getItem('maxRecordLimit') || data.maxRecordLimit || '20');
-
       setIsLoading(false);
     };
 
@@ -370,15 +368,6 @@ const Page = () => {
         localStorage.setItem('embeddingModel', value);
       } else if (key === 'systemInstructions') {
         localStorage.setItem('systemInstructions', value);
-      } else if (key === 'maxRecordLimit') {
-        let valueInt = parseInt(value, 10) || 20;
-        if (valueInt < 1) {
-          valueInt = 1;
-        } else if (valueInt > 100) {
-          valueInt = 100;
-        }
-        setMaxRecordLimit(valueInt.toString());
-        localStorage.setItem('maxRecordLimit', valueInt.toString());
       }
     } catch (err) {
       console.error('Failed to save:', err);
@@ -561,6 +550,7 @@ const Page = () => {
                         (provider) => ({
                           value: provider,
                           label:
+                            (PROVIDER_METADATA as any)[provider]?.displayName ||
                             provider.charAt(0).toUpperCase() +
                               provider.slice(1),
                         }),
@@ -703,6 +693,7 @@ const Page = () => {
                         (provider) => ({
                           value: provider,
                           label:
+                            (PROVIDER_METADATA as any)[provider]?.displayName ||
                             provider.charAt(0).toUpperCase() +
                               provider.slice(1),
                         }),
@@ -871,36 +862,24 @@ const Page = () => {
                     onSave={(value) => saveConfig('deepseekApiKey', value)}
                   />
                 </div>
-              </div>
-            </SettingsSection>
 
-            <SettingsSection title="Chat History">
-              <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">
-                    Maximum Chat History Records
+                    LM Studio API URL
                   </p>
-                  <div className="flex items-center space-x-2">
                   <Input
-                      type="number"
+                    type="text"
-                      min="1"
+                    placeholder="LM Studio API URL"
-                      max="100"
+                    value={config.lmStudioApiUrl}
-                      pattern="[0-9]*"
+                    isSaving={savingStates['lmStudioApiUrl']}
-                      inputMode="numeric"
-                      value={maxRecordLimit}
-                      isSaving={savingStates['maxRecordLimit']}
                     onChange={(e) => {
-                        setMaxRecordLimit(e.target.value);
+                      setConfig((prev) => ({
+                        ...prev!,
+                        lmStudioApiUrl: e.target.value,
+                      }));
                     }}
-                      onSave={(value) => saveConfig('maxRecordLimit', value)}
+                    onSave={(value) => saveConfig('lmStudioApiUrl', value)}
                   />
-                    <span className="text-black/60 dark:text-white/60 text-sm">
-                      records
-                    </span>
-                  </div>
-                  <p className="text-xs text-black/60 dark:text-white/60 mt-1">
-                    Maximum number of chat records to keep in history. Older records will be automatically deleted.
-                  </p>
                 </div>
               </div>
             </SettingsSection>

src/components/ChatWindow.tsx

@@ -95,18 +95,6 @@ const checkConfig = async (
       if (!embeddingModel || !embeddingModelProvider) {
         const embeddingModelProviders = providers.embeddingModelProviders;
 
-        let userSessionId = localStorage.getItem('userSessionId');
-        if (!userSessionId) {
-          userSessionId = crypto.randomBytes(20).toString('hex');
-          localStorage.setItem('userSessionId', userSessionId!)
-        }
-
-        let maxRecordLimit = localStorage.getItem('maxRecordLimit');
-        if (!maxRecordLimit) {
-          maxRecordLimit = '20';
-          localStorage.setItem('maxRecordLimit', maxRecordLimit);
-        }
-
         if (
           !embeddingModelProviders ||
           Object.keys(embeddingModelProviders).length === 0
@@ -354,7 +342,6 @@ const ChatWindow = ({ id }: { id?: string }) => {
     let added = false;
 
     messageId = messageId ?? crypto.randomBytes(7).toString('hex');
-    let userSessionId = localStorage.getItem('userSessionId');
 
     setMessages((prevMessages) => [
       ...prevMessages,
@@ -479,7 +466,6 @@ const ChatWindow = ({ id }: { id?: string }) => {
           messageId: messageId,
           chatId: chatId!,
           content: message,
-          userSessionId: userSessionId,
         },
         chatId: chatId!,
         files: fileIds,

src/components/MessageBox.tsx

@@ -97,6 +97,7 @@ const MessageBox = ({
           },
         ),
       );
+      setSpeechMessage(message.content.replace(regex, ''));
       return;
     }
 

src/lib/config.ts

@@ -1,7 +1,14 @@
-import fs from 'fs';
-import path from 'path';
 import toml from '@iarna/toml';
 
+// Use dynamic imports for Node.js modules to prevent client-side errors
+let fs: any;
+let path: any;
+if (typeof window === 'undefined') {
+  // We're on the server
+  fs = require('fs');
+  path = require('path');
+}
+
 const configFileName = 'config.toml';
 
 interface Config {
@@ -28,6 +35,9 @@ interface Config {
     DEEPSEEK: {
       API_KEY: string;
     };
+    LM_STUDIO: {
+      API_URL: string;
+    };
     CUSTOM_OPENAI: {
       API_URL: string;
       API_KEY: string;
@@ -43,10 +53,17 @@ type RecursivePartial<T> = {
   [P in keyof T]?: RecursivePartial<T[P]>;
 };
 
-const loadConfig = () =>
+const loadConfig = () => {
-  toml.parse(
+  // Server-side only
+  if (typeof window === 'undefined') {
+    return toml.parse(
       fs.readFileSync(path.join(process.cwd(), `${configFileName}`), 'utf-8'),
     ) as any as Config;
+  }
+
+  // Client-side fallback - settings will be loaded via API
+  return {} as Config;
+};
 
 export const getSimilarityMeasure = () =>
   loadConfig().GENERAL.SIMILARITY_MEASURE;
@@ -77,6 +94,9 @@ export const getCustomOpenaiApiUrl = () =>
 export const getCustomOpenaiModelName = () =>
   loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
 
+export const getLMStudioApiEndpoint = () =>
+  loadConfig().MODELS.LM_STUDIO.API_URL;
+
 const mergeConfigs = (current: any, update: any): any => {
   if (update === null || update === undefined) {
     return current;
@@ -109,10 +129,13 @@ const mergeConfigs = (current: any, update: any): any => {
 };
 
 export const updateConfig = (config: RecursivePartial<Config>) => {
+  // Server-side only
+  if (typeof window === 'undefined') {
     const currentConfig = loadConfig();
     const mergedConfig = mergeConfigs(currentConfig, config);
     fs.writeFileSync(
       path.join(path.join(process.cwd(), `${configFileName}`)),
       toml.stringify(mergedConfig),
     );
+  }
 };

src/lib/db/schema.ts

@@ -25,6 +25,4 @@ export const chats = sqliteTable('chats', {
   files: text('files', { mode: 'json' })
     .$type<File[]>()
     .default(sql`'[]'`),
-  userSessionId: text('userSessionId'),
-  timestamp: text('timestamp'),
 });

src/lib/providers/anthropic.ts

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

src/lib/providers/deepseek.ts

@@ -3,6 +3,11 @@ import { getDeepseekApiKey } from '../config';
 import { ChatModel } from '.';
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 
+export const PROVIDER_INFO = {
+  key: 'deepseek',
+  displayName: 'Deepseek AI',
+};
+
 const deepseekChatModels: Record<string, string>[] = [
   {
     displayName: 'Deepseek Chat (Deepseek V3)',

src/lib/providers/gemini.ts

@@ -4,6 +4,11 @@ import {
 } from '@langchain/google-genai';
 import { getGeminiApiKey } from '../config';
 import { ChatModel, EmbeddingModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'gemini',
+  displayName: 'Google Gemini',
+};
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { Embeddings } from '@langchain/core/embeddings';
 

src/lib/providers/groq.ts

@@ -1,6 +1,11 @@
 import { ChatOpenAI } from '@langchain/openai';
 import { getGroqApiKey } from '../config';
 import { ChatModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'groq',
+  displayName: 'Groq',
+};
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 
 const groqChatModels: Record<string, string>[] = [

src/lib/providers/index.ts

@@ -1,18 +1,60 @@
 import { Embeddings } from '@langchain/core/embeddings';
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { loadOpenAIChatModels, loadOpenAIEmbeddingModels } from './openai';
+import {
+  loadOpenAIChatModels,
+  loadOpenAIEmbeddingModels,
+  PROVIDER_INFO as OpenAIInfo,
+  PROVIDER_INFO,
+} from './openai';
 import {
   getCustomOpenaiApiKey,
   getCustomOpenaiApiUrl,
   getCustomOpenaiModelName,
 } from '../config';
 import { ChatOpenAI } from '@langchain/openai';
-import { loadOllamaChatModels, loadOllamaEmbeddingModels } from './ollama';
+import {
-import { loadGroqChatModels } from './groq';
+  loadOllamaChatModels,
-import { loadAnthropicChatModels } from './anthropic';
+  loadOllamaEmbeddingModels,
-import { loadGeminiChatModels, loadGeminiEmbeddingModels } from './gemini';
+  PROVIDER_INFO as OllamaInfo,
-import { loadTransformersEmbeddingsModels } from './transformers';
+} from './ollama';
-import { loadDeepseekChatModels } from './deepseek';
+import { loadGroqChatModels, PROVIDER_INFO as GroqInfo } from './groq';
+import {
+  loadAnthropicChatModels,
+  PROVIDER_INFO as AnthropicInfo,
+} from './anthropic';
+import {
+  loadGeminiChatModels,
+  loadGeminiEmbeddingModels,
+  PROVIDER_INFO as GeminiInfo,
+} from './gemini';
+import {
+  loadTransformersEmbeddingsModels,
+  PROVIDER_INFO as TransformersInfo,
+} from './transformers';
+import {
+  loadDeepseekChatModels,
+  PROVIDER_INFO as DeepseekInfo,
+} from './deepseek';
+import {
+  loadLMStudioChatModels,
+  loadLMStudioEmbeddingsModels,
+  PROVIDER_INFO as LMStudioInfo,
+} from './lmstudio';
+
+export const PROVIDER_METADATA = {
+  openai: OpenAIInfo,
+  ollama: OllamaInfo,
+  groq: GroqInfo,
+  anthropic: AnthropicInfo,
+  gemini: GeminiInfo,
+  transformers: TransformersInfo,
+  deepseek: DeepseekInfo,
+  lmstudio: LMStudioInfo,
+  custom_openai: {
+    key: 'custom_openai',
+    displayName: 'Custom OpenAI',
+  },
+};
 
 export interface ChatModel {
   displayName: string;
@@ -34,6 +76,7 @@ export const chatModelProviders: Record<
   anthropic: loadAnthropicChatModels,
   gemini: loadGeminiChatModels,
   deepseek: loadDeepseekChatModels,
+  lmstudio: loadLMStudioChatModels,
 };
 
 export const embeddingModelProviders: Record<
@@ -44,6 +87,7 @@ export const embeddingModelProviders: Record<
   ollama: loadOllamaEmbeddingModels,
   gemini: loadGeminiEmbeddingModels,
   transformers: loadTransformersEmbeddingsModels,
+  lmstudio: loadLMStudioEmbeddingsModels,
 };
 
 export const getAvailableChatModelProviders = async () => {

src/lib/providers/lmstudio.ts

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

src/lib/providers/ollama.ts

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

src/lib/providers/openai.ts

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

src/lib/providers/transformers.ts

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

src/lib/utils/documents.ts

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