feat(chat-window): lint & beautify

perf: Optimize document filtering and sorting for performance

README.md

@@ -67,7 +67,8 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 
    - `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
    - `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
-   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**
+   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
+   - `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
 
      **Note**: You can change these after starting Perplexica from the settings dialog.
 
@@ -85,11 +86,12 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 
 ### Non-Docker Installation
 
-1. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
+1. Install SearXNG and allow `JSON` format in the SearXNG settings.
-2. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
+2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
-3. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
+3. Rename the `.env.example` file to `.env` in the `ui` folder and fill in all necessary fields.
-4. Install the dependencies and then execute `npm run build` in both the `ui` folder and the root directory.
+4. After populating the configuration and environment files, run `npm i` in both the `ui` folder and the root directory.
-5. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
+5. Install the dependencies and then execute `npm run build` in both the `ui` folder and the root directory.
+6. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.
 
 **Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
 
@@ -110,11 +112,7 @@ If you're encountering an Ollama connection error, it is likely due to the backe
 
 3. **Linux Users - Expose Ollama to Network:**
 
-   - Serve Ollama over your network with the command:
+   - Inside `/etc/systemd/system/ollama.service`, you need to add `Environment="OLLAMA_HOST=0.0.0.0"`. Then restart Ollama by `systemctl restart ollama`. For more information see [Ollama docs](https://github.com/ollama/ollama/blob/main/docs/faq.md#setting-environment-variables-on-linux)
-
-     ```bash
-     OLLAMA_HOST=0.0.0.0 ollama serve
-     ```
 
    - Ensure that the port (default is 11434) is not blocked by your firewall.
 
@@ -146,11 +144,11 @@ If you find Perplexica useful, consider giving us a star on GitHub. This helps m
 
 ### Donations
 
-We also accept donations to help sustain our project. If you would like to contribute, you can use the following button to make a donation in cryptocurrency. Thank you for your support!
+We also accept donations to help sustain our project. If you would like to contribute, you can use the following options to donate. Thank you for your support!
 
-<a href="https://nowpayments.io/donation?api_key=RFFKJH1-GRR4DQG-HFV1DZP-00G6MMK&source=lk_donation&medium=referral" target="_blank">
+| Ethereum                                              |
-  <img src="https://nowpayments.io/images/embeds/donation-button-white.svg" alt="Crypto donation button by NOWPayments">
+| ----------------------------------------------------- |
-</a>
+| Address: `0xB025a84b2F269570Eb8D4b05DEdaA41D8525B6DD` |
 
 ## Contribution
 

backend.dockerfile

@@ -1,4 +1,4 @@
-FROM nikolaik/python-nodejs:python3.12-nodejs20-bullseye
+FROM node:slim
 
 ARG SEARXNG_API_URL
 
@@ -15,7 +15,7 @@ RUN sed -i "s|SEARXNG = \".*\"|SEARXNG = \"${SEARXNG_API_URL}\"|g" /home/perplex
 
 RUN mkdir /home/perplexica/data
 
-RUN yarn install
+RUN yarn install 
 RUN yarn build
 
 CMD ["yarn", "start"]

docs/installation/UPDATING.md

@@ -0,0 +1,34 @@
+# Update Perplexica to the latest version
+
+To update Perplexica to the latest version, follow these steps:
+
+## For Docker users
+
+1. Clone the latest version of Perplexica from GitHub:
+
+```bash
+   git clone https://github.com/ItzCrazyKns/Perplexica.git
+```
+
+2. Navigate to the Project Directory
+
+3. Update and Rebuild Docker Containers:
+
+```bash
+docker compose up -d --build
+```
+
+4. Once the command completes running go to http://localhost:3000 and verify the latest changes.
+
+## For non Docker users
+
+1. Clone the latest version of Perplexica from GitHub:
+
+```bash
+   git clone https://github.com/ItzCrazyKns/Perplexica.git
+```
+
+2. Navigate to the Project Directory
+3. Execute `npm i` in both the `ui` folder and the root directory.
+4. Once packages are updated, execute `npm run build` in both the `ui` folder and the root directory.
+5. Finally, start both the frontend and the backend by running `npm run start` in both the `ui` folder and the root directory.

package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-backend",
-  "version": "1.7.0",
+  "version": "1.9.0-rc1",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
@@ -15,6 +15,8 @@
     "@types/better-sqlite3": "^7.6.10",
     "@types/cors": "^2.8.17",
     "@types/express": "^4.17.21",
+    "@types/html-to-text": "^9.0.4",
+    "@types/pdf-parse": "^1.1.4",
     "@types/readable-stream": "^4.0.11",
     "drizzle-kit": "^0.22.7",
     "nodemon": "^3.1.0",
@@ -24,6 +26,8 @@
   },
   "dependencies": {
     "@iarna/toml": "^2.2.5",
+    "@langchain/anthropic": "^0.2.3",
+    "@langchain/community": "^0.2.16",
     "@langchain/openai": "^0.0.25",
     "@xenova/transformers": "^2.17.1",
     "axios": "^1.6.8",
@@ -34,7 +38,9 @@
     "dotenv": "^16.4.5",
     "drizzle-orm": "^0.31.2",
     "express": "^4.19.2",
+    "html-to-text": "^9.0.5",
     "langchain": "^0.1.30",
+    "pdf-parse": "^1.1.1",
     "winston": "^3.13.0",
     "ws": "^8.17.1",
     "zod": "^3.22.4"

sample.config.toml

@@ -1,10 +1,15 @@
 [GENERAL]
 PORT = 3001 # Port to run the server on
 SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
+CONFIG_PASSWORD = "lorem_ipsum" # Password to access config
+DISCOVER_ENABLED = true
+LIBRARY_ENABLED = true
+COPILOT_ENABLED = true
 
 [API_KEYS]
 OPENAI = "" # OpenAI API key - sk-1234567890abcdef1234567890abcdef
 GROQ = "" # Groq API key - gsk_1234567890abcdef1234567890abcdef
+ANTHROPIC = "" # Anthropic API key - sk-ant-1234567890abcdef1234567890abcdef
 
 [API_ENDPOINTS]
 SEARXNG = "http://localhost:32768" # SearxNG API URL

src/agents/academicSearchAgent.ts

@@ -44,7 +44,7 @@ Rephrased question:
 const basicAcademicSearchResponsePrompt = `
     You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
 
-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
     You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
     You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
     Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@@ -52,7 +52,7 @@ const basicAcademicSearchResponsePrompt = `
     Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
     However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
 
-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
     talk about the context in your response. 
 
     <context>

src/agents/redditSearchAgent.ts

@@ -44,7 +44,7 @@ Rephrased question:
 const basicRedditSearchResponsePrompt = `
     You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
 
-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
     You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
     You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
     Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@@ -52,8 +52,8 @@ const basicRedditSearchResponsePrompt = `
     Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
     However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
 
-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Reddit and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Reddit and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
-    talk about the context in your response. 
+    talk about the context in your response.
 
     <context>
     {context}
@@ -177,9 +177,9 @@ const createBasicRedditSearchAnsweringChain = (
     });
 
     const sortedDocs = similarity
+      .filter((sim) => sim.similarity > 0.3)
       .sort((a, b) => b.similarity - a.similarity)
       .slice(0, 15)
-      .filter((sim) => sim.similarity > 0.3)
       .map((sim) => docsWithContent[sim.index]);
 
     return sortedDocs;

src/agents/suggestionGeneratorAgent.ts

@@ -47,7 +47,7 @@ const generateSuggestions = (
   input: SuggestionGeneratorInput,
   llm: BaseChatModel,
 ) => {
-  (llm as ChatOpenAI).temperature = 0;
+  (llm as unknown as ChatOpenAI).temperature = 0;
   const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
   return suggestionGeneratorChain.invoke(input);
 };

src/agents/webSearchAgent.ts

@@ -19,20 +19,47 @@ import formatChatHistoryAsString from '../utils/formatHistory';
 import eventEmitter from 'events';
 import computeSimilarity from '../utils/computeSimilarity';
 import logger from '../utils/logger';
+import LineListOutputParser from '../lib/outputParsers/listLineOutputParser';
+import { getDocumentsFromLinks } from '../lib/linkDocument';
+import LineOutputParser from '../lib/outputParsers/lineOutputParser';
 
 const basicSearchRetrieverPrompt = `
 You will be given a conversation below and a follow up question. You need to rephrase the follow-up question if needed so it is a standalone question that can be used by the LLM to search the web for information.
 If it is a writing task or a simple hi, hello rather than a question, you need to return \`not_needed\` as the response.
+If the question contains some links and asks to answer from those links or even if they don't you need to return the links inside 'links' XML block and the question inside 'question' XML block. If there are no links then you need to return the question without any XML block.
+If the user asks to summarrize the content from some links you need to return \`Summarize\` as the question inside the 'question' XML block and the links inside the 'links' XML block.
 
 Example:
 1. Follow up question: What is the capital of France?
-Rephrased: Capital of france
+Rephrased question: \`Capital of france\`
 
 2. Follow up question: What is the population of New York City?
-Rephrased: Population of New York City
+Rephrased question: \`Population of New York City\`
 
 3. Follow up question: What is Docker?
-Rephrased: What is Docker
+Rephrased question: \`What is Docker\`
+
+4. Follow up question: Can you tell me what is X from https://example.com
+Rephrased question: \`
+<question>
+Can you tell me what is X?
+</question>
+
+<links>
+https://example.com
+</links>
+\`
+
+5. Follow up question: Summarize the content from https://example.com
+Rephrased question: \`
+<question>
+Summarize
+</question>
+
+<links>
+https://example.com
+</links>
+\`
 
 Conversation:
 {chat_history}
@@ -42,24 +69,26 @@ Rephrased question:
 `;
 
 const basicWebSearchResponsePrompt = `
-    You are Perplexica, an AI model who is expert at searching the web and answering user's queries.
+    You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are also an expert at summarizing web pages or documents and searching for content in them.
 
-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
     You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
     You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
+    If the query contains some links and the user asks to answer from those links you will be provided the entire content of the page inside the \`context\` XML block. You can then use this content to answer the user's query.
+    If the user asks to summarize content from some links, you will be provided the entire content of the page inside the \`context\` XML block. You can then use this content to summarize the text. The content provided inside the \`context\` block will be already summarized by another model so you just need to use that content to answer the user's query.
     Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
     You have to cite the answer using [number] notation. You must cite the sentences with their relevent context number. You must cite each and every part of the answer so the user can know where the information is coming from.
     Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
     However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
 
-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by the search engine and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
-    talk about the context in your response. 
+    talk about the context in your response.
 
     <context>
     {context}
     </context>
 
-    If you think there's nothing relevant in the search results, you can say that 'Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?'.
+    If you think there's nothing relevant in the search results, you can say that 'Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?'. You do not need to do this for summarization tasks.
     Anything between the \`context\` is retrieved from a search engine and is not a part of the conversation with the user. Today's date is ${new Date().toISOString()}
 `;
 
@@ -112,23 +141,109 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
         return { query: '', docs: [] };
       }
 
-      const res = await searchSearxng(input, {
+      const linksOutputParser = new LineListOutputParser({
-        language: 'en',
+        key: 'links',
       });
 
-      const documents = res.results.map(
+      const questionOutputParser = new LineOutputParser({
-        (result) =>
+        key: 'question',
-          new Document({
+      });
-            pageContent: result.content,
-            metadata: {
-              title: result.title,
-              url: result.url,
-              ...(result.img_src && { img_src: result.img_src }),
-            },
-          }),
-      );
 
-      return { query: input, docs: documents };
+      const links = await linksOutputParser.parse(input);
+      let question = await questionOutputParser.parse(input);
+
+      if (links.length > 0) {
+        if (question.length === 0) {
+          question = 'Summarize';
+        }
+
+        let docs = [];
+
+        const linkDocs = await getDocumentsFromLinks({ links });
+
+        const docGroups: Document[] = [];
+
+        linkDocs.map((doc) => {
+          const URLDocExists = docGroups.find(
+            (d) =>
+              d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
+          );
+
+          if (!URLDocExists) {
+            docGroups.push({
+              ...doc,
+              metadata: {
+                ...doc.metadata,
+                totalDocs: 1,
+              },
+            });
+          }
+
+          const docIndex = docGroups.findIndex(
+            (d) =>
+              d.metadata.url === doc.metadata.url && d.metadata.totalDocs < 10,
+          );
+
+          if (docIndex !== -1) {
+            docGroups[docIndex].pageContent =
+              docGroups[docIndex].pageContent + `\n\n` + doc.pageContent;
+            docGroups[docIndex].metadata.totalDocs += 1;
+          }
+        });
+
+        await Promise.all(
+          docGroups.map(async (doc) => {
+            const res = await llm.invoke(`
+            You are a text summarizer. You need to summarize the text provided inside the \`text\` XML block. 
+            You need to summarize the text into 1 or 2 sentences capturing the main idea of the text.
+            You need to make sure that you don't miss any point while summarizing the text.
+            You will also be given a \`query\` XML block which will contain the query of the user. Try to answer the query in the summary from the text provided.
+            If the query says Summarize then you just need to summarize the text without answering the query.
+            Only return the summarized text without any other messages, text or XML block.
+
+            <query>
+            ${question}
+            </query>
+
+            <text>
+            ${doc.pageContent}
+            </text>
+
+            Make sure to answer the query in the summary.
+          `);
+
+            const document = new Document({
+              pageContent: res.content as string,
+              metadata: {
+                title: doc.metadata.title,
+                url: doc.metadata.url,
+              },
+            });
+
+            docs.push(document);
+          }),
+        );
+
+        return { query: question, docs: docs };
+      } else {
+        const res = await searchSearxng(input, {
+          language: 'en',
+        });
+
+        const documents = res.results.map(
+          (result) =>
+            new Document({
+              pageContent: result.content,
+              metadata: {
+                title: result.title,
+                url: result.url,
+                ...(result.img_src && { img_src: result.img_src }),
+              },
+            }),
+        );
+
+        return { query: input, docs: documents };
+      }
     }),
   ]);
 };
@@ -156,6 +271,10 @@ const createBasicWebSearchAnsweringChain = (
       return docs;
     }
 
+    if (query === 'Summarize') {
+      return docs;
+    }
+
     const docsWithContent = docs.filter(
       (doc) => doc.pageContent && doc.pageContent.length > 0,
     );
@@ -175,8 +294,8 @@ const createBasicWebSearchAnsweringChain = (
     });
 
     const sortedDocs = similarity
-      .sort((a, b) => b.similarity - a.similarity)
       .filter((sim) => sim.similarity > 0.5)
+      .sort((a, b) => b.similarity - a.similarity)
       .slice(0, 15)
       .map((sim) => docsWithContent[sim.index]);
 

src/agents/wolframAlphaSearchAgent.ts

@@ -43,7 +43,7 @@ Rephrased question:
 const basicWolframAlphaSearchResponsePrompt = `
     You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.
 
-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
     You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
     You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
     Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@@ -51,7 +51,7 @@ const basicWolframAlphaSearchResponsePrompt = `
     Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
     However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
 
-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Wolfram Alpha and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Wolfram Alpha and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
     talk about the context in your response. 
 
     <context>

src/agents/youtubeSearchAgent.ts

@@ -44,7 +44,7 @@ Rephrased question:
 const basicYoutubeSearchResponsePrompt = `
     You are Perplexica, an AI model who is expert at searching the web and answering user's queries. You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcript.
 
-    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containg a brief description of the content of that page).
+    Generate a response that is informative and relevant to the user's query based on provided context (the context consits of search results containing a brief description of the content of that page).
     You must use this context to answer the user's query in the best way possible. Use an unbaised and journalistic tone in your response. Do not repeat the text.
     You must not tell the user to open any link or visit any website to get the answer. You must provide the answer in the response itself. If the user asks for links you can provide them.
     Your responses should be medium to long in length be informative and relevant to the user's query. You can use markdowns to format your response. You should use bullet points to list the information. Make sure the answer is not short and is informative.
@@ -52,8 +52,8 @@ const basicYoutubeSearchResponsePrompt = `
     Place these citations at the end of that particular sentence. You can cite the same sentence multiple times if it is relevant to the user's query like [number1][number2].
     However you do not need to cite it using the same number. You can use different numbers to cite the same sentence multiple times. The number refers to the number of the search result (passed in the context) used to generate that part of the answer.
 
-    Aything inside the following \`context\` HTML block provided below is for your knowledge returned by Youtube and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to 
+    Anything inside the following \`context\` HTML block provided below is for your knowledge returned by Youtube and is not shared by the user. You have to answer question on the basis of it and cite the relevant information from it but you do not have to
-    talk about the context in your response. 
+    talk about the context in your response.
 
     <context>
     {context}
@@ -177,9 +177,9 @@ const createBasicYoutubeSearchAnsweringChain = (
     });
 
     const sortedDocs = similarity
+      .filter((sim) => sim.similarity > 0.3)
       .sort((a, b) => b.similarity - a.similarity)
       .slice(0, 15)
-      .filter((sim) => sim.similarity > 0.3)
       .map((sim) => docsWithContent[sim.index]);
 
     return sortedDocs;

src/app.ts

@@ -28,3 +28,11 @@ server.listen(port, () => {
 });
 
 startWebSocketServer(server);
+
+process.on('uncaughtException', (err, origin) => {
+  logger.error(`Uncaught Exception at ${origin}: ${err}`);
+});
+
+process.on('unhandledRejection', (reason, promise) => {
+  logger.error(`Unhandled Rejection at: ${promise}, reason: ${reason}`);
+});

src/config.ts

@@ -8,10 +8,15 @@ interface Config {
   GENERAL: {
     PORT: number;
     SIMILARITY_MEASURE: string;
+    CONFIG_PASSWORD: string;
+    DISCOVER_ENABLED: boolean;
+    LIBRARY_ENABLED: boolean;
+    COPILOT_ENABLED: boolean;
   };
   API_KEYS: {
     OPENAI: string;
     GROQ: string;
+    ANTHROPIC: string;
   };
   API_ENDPOINTS: {
     SEARXNG: string;
@@ -33,10 +38,20 @@ export const getPort = () => loadConfig().GENERAL.PORT;
 export const getSimilarityMeasure = () =>
   loadConfig().GENERAL.SIMILARITY_MEASURE;
 
+export const getConfigPassword = () => loadConfig().GENERAL.CONFIG_PASSWORD;
+
+export const isDiscoverEnabled = () => loadConfig().GENERAL.DISCOVER_ENABLED;
+
+export const isLibraryEnabled = () => loadConfig().GENERAL.LIBRARY_ENABLED;
+
+export const isCopilotEnabled = () => loadConfig().GENERAL.COPILOT_ENABLED;
+
 export const getOpenaiApiKey = () => loadConfig().API_KEYS.OPENAI;
 
 export const getGroqApiKey = () => loadConfig().API_KEYS.GROQ;
 
+export const getAnthropicApiKey = () => loadConfig().API_KEYS.ANTHROPIC;
+
 export const getSearxngApiEndpoint = () => loadConfig().API_ENDPOINTS.SEARXNG;
 
 export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;
@@ -50,6 +65,7 @@ export const updateConfig = (config: RecursivePartial<Config>) => {
     if (typeof currentConfig[key] === 'object' && currentConfig[key] !== null) {
       for (const nestedKey in currentConfig[key]) {
         if (
+          typeof config[key][nestedKey] !== 'boolean' &&
           !config[key][nestedKey] &&
           currentConfig[key][nestedKey] &&
           config[key][nestedKey] !== ''

src/lib/linkDocument.ts

@@ -0,0 +1,83 @@
+import axios from 'axios';
+import { htmlToText } from 'html-to-text';
+import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
+import { Document } from '@langchain/core/documents';
+import pdfParse from 'pdf-parse';
+
+export const getDocumentsFromLinks = async ({ links }: { links: string[] }) => {
+  const splitter = new RecursiveCharacterTextSplitter();
+
+  let docs: Document[] = [];
+
+  await Promise.all(
+    links.map(async (link) => {
+      link =
+        link.startsWith('http://') || link.startsWith('https://')
+          ? link
+          : `https://${link}`;
+
+      const res = await axios.get(link, {
+        responseType: 'arraybuffer',
+      });
+
+      const isPdf = res.headers['content-type'] === 'application/pdf';
+
+      if (isPdf) {
+        const pdfText = await pdfParse(res.data);
+        const parsedText = pdfText.text
+          .replace(/(\r\n|\n|\r)/gm, ' ')
+          .replace(/\s+/g, ' ')
+          .trim();
+
+        const splittedText = await splitter.splitText(parsedText);
+        const title = 'PDF Document';
+
+        const linkDocs = splittedText.map((text) => {
+          return new Document({
+            pageContent: text,
+            metadata: {
+              title: title,
+              url: link,
+            },
+          });
+        });
+
+        docs.push(...linkDocs);
+        return;
+      }
+
+      const parsedText = htmlToText(res.data.toString('utf8'), {
+        selectors: [
+          {
+            selector: 'a',
+            options: {
+              ignoreHref: true,
+            },
+          },
+        ],
+      })
+        .replace(/(\r\n|\n|\r)/gm, ' ')
+        .replace(/\s+/g, ' ')
+        .trim();
+
+      const splittedText = await splitter.splitText(parsedText);
+      const title = res.data
+        .toString('utf8')
+        .match(/<title>(.*?)<\/title>/)?.[1];
+
+      const linkDocs = splittedText.map((text) => {
+        return new Document({
+          pageContent: text,
+          metadata: {
+            title: title || link,
+            url: link,
+          },
+        });
+      });
+
+      docs.push(...linkDocs);
+    }),
+  );
+
+  return docs;
+};

src/lib/outputParsers/lineOutputParser.ts

@@ -0,0 +1,46 @@
+import { BaseOutputParser } from '@langchain/core/output_parsers';
+
+interface LineOutputParserArgs {
+  key?: string;
+}
+
+class LineOutputParser extends BaseOutputParser<string> {
+  private key = 'questions';
+
+  constructor(args?: LineOutputParserArgs) {
+    super();
+    this.key = args.key ?? this.key;
+  }
+
+  static lc_name() {
+    return 'LineOutputParser';
+  }
+
+  lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
+
+  async parse(text: string): Promise<string> {
+    const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
+    const startKeyIndex = text.indexOf(`<${this.key}>`);
+    const endKeyIndex = text.indexOf(`</${this.key}>`);
+
+    if (startKeyIndex === -1 || endKeyIndex === -1) {
+      return '';
+    }
+
+    const questionsStartIndex =
+      startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
+    const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;
+    const line = text
+      .slice(questionsStartIndex, questionsEndIndex)
+      .trim()
+      .replace(regex, '');
+
+    return line;
+  }
+
+  getFormatInstructions(): string {
+    throw new Error('Not implemented.');
+  }
+}
+
+export default LineOutputParser;

src/lib/outputParsers/listLineOutputParser.ts

@@ -22,6 +22,11 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
     const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
     const startKeyIndex = text.indexOf(`<${this.key}>`);
     const endKeyIndex = text.indexOf(`</${this.key}>`);
+
+    if (startKeyIndex === -1 || endKeyIndex === -1) {
+      return [];
+    }
+
     const questionsStartIndex =
       startKeyIndex === -1 ? 0 : startKeyIndex + `<${this.key}>`.length;
     const questionsEndIndex = endKeyIndex === -1 ? text.length : endKeyIndex;

src/lib/providers.ts

@@ -1,187 +0,0 @@
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { ChatOllama } from '@langchain/community/chat_models/ollama';
-import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
-import { HuggingFaceTransformersEmbeddings } from './huggingfaceTransformer';
-import {
-  getGroqApiKey,
-  getOllamaApiEndpoint,
-  getOpenaiApiKey,
-} from '../config';
-import logger from '../utils/logger';
-
-export const getAvailableChatModelProviders = async () => {
-  const openAIApiKey = getOpenaiApiKey();
-  const groqApiKey = getGroqApiKey();
-  const ollamaEndpoint = getOllamaApiEndpoint();
-
-  const models = {};
-
-  if (openAIApiKey) {
-    try {
-      models['openai'] = {
-        'GPT-3.5 turbo': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-3.5-turbo',
-          temperature: 0.7,
-        }),
-        'GPT-4': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-4',
-          temperature: 0.7,
-        }),
-        'GPT-4 turbo': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-4-turbo',
-          temperature: 0.7,
-        }),
-        'GPT-4 omni': new ChatOpenAI({
-          openAIApiKey,
-          modelName: 'gpt-4o',
-          temperature: 0.7,
-        }),
-      };
-    } catch (err) {
-      logger.error(`Error loading OpenAI models: ${err}`);
-    }
-  }
-
-  if (groqApiKey) {
-    try {
-      models['groq'] = {
-        'LLaMA3 8b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'llama3-8b-8192',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-        'LLaMA3 70b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'llama3-70b-8192',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-        'Mixtral 8x7b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'mixtral-8x7b-32768',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-        'Gemma 7b': new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'gemma-7b-it',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-      };
-    } catch (err) {
-      logger.error(`Error loading Groq models: ${err}`);
-    }
-  }
-
-  if (ollamaEndpoint) {
-    try {
-      const response = await fetch(`${ollamaEndpoint}/api/tags`, {
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      const { models: ollamaModels } = (await response.json()) as any;
-
-      models['ollama'] = ollamaModels.reduce((acc, model) => {
-        acc[model.model] = new ChatOllama({
-          baseUrl: ollamaEndpoint,
-          model: model.model,
-          temperature: 0.7,
-        });
-        return acc;
-      }, {});
-    } catch (err) {
-      logger.error(`Error loading Ollama models: ${err}`);
-    }
-  }
-
-  models['custom_openai'] = {};
-
-  return models;
-};
-
-export const getAvailableEmbeddingModelProviders = async () => {
-  const openAIApiKey = getOpenaiApiKey();
-  const ollamaEndpoint = getOllamaApiEndpoint();
-
-  const models = {};
-
-  if (openAIApiKey) {
-    try {
-      models['openai'] = {
-        'Text embedding 3 small': new OpenAIEmbeddings({
-          openAIApiKey,
-          modelName: 'text-embedding-3-small',
-        }),
-        'Text embedding 3 large': new OpenAIEmbeddings({
-          openAIApiKey,
-          modelName: 'text-embedding-3-large',
-        }),
-      };
-    } catch (err) {
-      logger.error(`Error loading OpenAI embeddings: ${err}`);
-    }
-  }
-
-  if (ollamaEndpoint) {
-    try {
-      const response = await fetch(`${ollamaEndpoint}/api/tags`, {
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      const { models: ollamaModels } = (await response.json()) as any;
-
-      models['ollama'] = ollamaModels.reduce((acc, model) => {
-        acc[model.model] = new OllamaEmbeddings({
-          baseUrl: ollamaEndpoint,
-          model: model.model,
-        });
-        return acc;
-      }, {});
-    } catch (err) {
-      logger.error(`Error loading Ollama embeddings: ${err}`);
-    }
-  }
-
-  try {
-    models['local'] = {
-      'BGE Small': new HuggingFaceTransformersEmbeddings({
-        modelName: 'Xenova/bge-small-en-v1.5',
-      }),
-      'GTE Small': new HuggingFaceTransformersEmbeddings({
-        modelName: 'Xenova/gte-small',
-      }),
-      'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
-        modelName: 'Xenova/bert-base-multilingual-uncased',
-      }),
-    };
-  } catch (err) {
-    logger.error(`Error loading local embeddings: ${err}`);
-  }
-
-  return models;
-};

src/lib/providers/anthropic.ts

@@ -0,0 +1,39 @@
+import { ChatAnthropic } from '@langchain/anthropic';
+import { getAnthropicApiKey } from '../../config';
+import logger from '../../utils/logger';
+
+export const loadAnthropicChatModels = async () => {
+  const anthropicApiKey = getAnthropicApiKey();
+
+  if (!anthropicApiKey) return {};
+
+  try {
+    const chatModels = {
+      'Claude 3.5 Sonnet': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-5-sonnet-20240620',
+      }),
+      'Claude 3 Opus': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-opus-20240229',
+      }),
+      'Claude 3 Sonnet': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-sonnet-20240229',
+      }),
+      'Claude 3 Haiku': new ChatAnthropic({
+        temperature: 0.7,
+        anthropicApiKey: anthropicApiKey,
+        model: 'claude-3-haiku-20240307',
+      }),
+    };
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading Anthropic models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/groq.ts

@@ -0,0 +1,89 @@
+import { ChatOpenAI } from '@langchain/openai';
+import { getGroqApiKey } from '../../config';
+import logger from '../../utils/logger';
+
+export const loadGroqChatModels = async () => {
+  const groqApiKey = getGroqApiKey();
+
+  if (!groqApiKey) return {};
+
+  try {
+    const chatModels = {
+      'Llama 3.1 70B': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama-3.1-70b-versatile',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Llama 3.1 8B': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama-3.1-8b-instant',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'LLaMA3 8b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama3-8b-8192',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'LLaMA3 70b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'llama3-70b-8192',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Mixtral 8x7b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'mixtral-8x7b-32768',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Gemma 7b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'gemma-7b-it',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+      'Gemma2 9b': new ChatOpenAI(
+        {
+          openAIApiKey: groqApiKey,
+          modelName: 'gemma2-9b-it',
+          temperature: 0.7,
+        },
+        {
+          baseURL: 'https://api.groq.com/openai/v1',
+        },
+      ),
+    };
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading Groq models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/index.ts

@@ -0,0 +1,46 @@
+import { loadGroqChatModels } from './groq';
+import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
+import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
+import { loadAnthropicChatModels } from './anthropic';
+import { loadTransformersEmbeddingsModels } from './transformers';
+
+const chatModelProviders = {
+  openai: loadOpenAIChatModels,
+  groq: loadGroqChatModels,
+  ollama: loadOllamaChatModels,
+  anthropic: loadAnthropicChatModels,
+};
+
+const embeddingModelProviders = {
+  openai: loadOpenAIEmbeddingsModels,
+  local: loadTransformersEmbeddingsModels,
+  ollama: loadOllamaEmbeddingsModels,
+};
+
+export const getAvailableChatModelProviders = async () => {
+  const models = {};
+
+  for (const provider in chatModelProviders) {
+    const providerModels = await chatModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels;
+    }
+  }
+
+  models['custom_openai'] = {};
+
+  return models;
+};
+
+export const getAvailableEmbeddingModelProviders = async () => {
+  const models = {};
+
+  for (const provider in embeddingModelProviders) {
+    const providerModels = await embeddingModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels;
+    }
+  }
+
+  return models;
+};

src/lib/providers/ollama.ts

@@ -0,0 +1,63 @@
+import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
+import { getOllamaApiEndpoint } from '../../config';
+import logger from '../../utils/logger';
+import { ChatOllama } from '@langchain/community/chat_models/ollama';
+
+export const loadOllamaChatModels = async () => {
+  const ollamaEndpoint = getOllamaApiEndpoint();
+
+  if (!ollamaEndpoint) return {};
+
+  try {
+    const response = await fetch(`${ollamaEndpoint}/api/tags`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const { models: ollamaModels } = (await response.json()) as any;
+
+    const chatModels = ollamaModels.reduce((acc, model) => {
+      acc[model.model] = new ChatOllama({
+        baseUrl: ollamaEndpoint,
+        model: model.model,
+        temperature: 0.7,
+      });
+      return acc;
+    }, {});
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading Ollama models: ${err}`);
+    return {};
+  }
+};
+
+export const loadOllamaEmbeddingsModels = async () => {
+  const ollamaEndpoint = getOllamaApiEndpoint();
+
+  if (!ollamaEndpoint) return {};
+
+  try {
+    const response = await fetch(`${ollamaEndpoint}/api/tags`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const { models: ollamaModels } = (await response.json()) as any;
+
+    const embeddingsModels = ollamaModels.reduce((acc, model) => {
+      acc[model.model] = new OllamaEmbeddings({
+        baseUrl: ollamaEndpoint,
+        model: model.model,
+      });
+      return acc;
+    }, {});
+
+    return embeddingsModels;
+  } catch (err) {
+    logger.error(`Error loading Ollama embeddings model: ${err}`);
+    return {};
+  }
+};

src/lib/providers/openai.ts

@@ -0,0 +1,68 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getOpenaiApiKey } from '../../config';
+import logger from '../../utils/logger';
+
+export const loadOpenAIChatModels = async () => {
+  const openAIApiKey = getOpenaiApiKey();
+
+  if (!openAIApiKey) return {};
+
+  try {
+    const chatModels = {
+      'GPT-3.5 turbo': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-3.5-turbo',
+        temperature: 0.7,
+      }),
+      'GPT-4': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4',
+        temperature: 0.7,
+      }),
+      'GPT-4 turbo': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4-turbo',
+        temperature: 0.7,
+      }),
+      'GPT-4 omni': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4o',
+        temperature: 0.7,
+      }),
+      'GPT-4 omni mini': new ChatOpenAI({
+        openAIApiKey,
+        modelName: 'gpt-4o-mini',
+        temperature: 0.7,
+      }),
+    };
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading OpenAI models: ${err}`);
+    return {};
+  }
+};
+
+export const loadOpenAIEmbeddingsModels = async () => {
+  const openAIApiKey = getOpenaiApiKey();
+
+  if (!openAIApiKey) return {};
+
+  try {
+    const embeddingModels = {
+      'Text embedding 3 small': new OpenAIEmbeddings({
+        openAIApiKey,
+        modelName: 'text-embedding-3-small',
+      }),
+      'Text embedding 3 large': new OpenAIEmbeddings({
+        openAIApiKey,
+        modelName: 'text-embedding-3-large',
+      }),
+    };
+
+    return embeddingModels;
+  } catch (err) {
+    logger.error(`Error loading OpenAI embeddings model: ${err}`);
+    return {};
+  }
+};

src/lib/providers/transformers.ts

@@ -0,0 +1,23 @@
+import logger from '../../utils/logger';
+import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
+
+export const loadTransformersEmbeddingsModels = async () => {
+  try {
+    const embeddingModels = {
+      'BGE Small': new HuggingFaceTransformersEmbeddings({
+        modelName: 'Xenova/bge-small-en-v1.5',
+      }),
+      'GTE Small': new HuggingFaceTransformersEmbeddings({
+        modelName: 'Xenova/gte-small',
+      }),
+      'Bert Multilingual': new HuggingFaceTransformersEmbeddings({
+        modelName: 'Xenova/bert-base-multilingual-uncased',
+      }),
+    };
+
+    return embeddingModels;
+  } catch (err) {
+    logger.error(`Error loading Transformers embeddings model: ${err}`);
+    return {};
+  }
+};

src/routes/chats.ts

@@ -40,4 +40,27 @@ router.get('/:id', async (req, res) => {
   }
 });
 
+router.delete(`/:id`, async (req, res) => {
+  try {
+    const chatExists = await db.query.chats.findFirst({
+      where: eq(chats.id, req.params.id),
+    });
+
+    if (!chatExists) {
+      return res.status(404).json({ message: 'Chat not found' });
+    }
+
+    await db.delete(chats).where(eq(chats.id, req.params.id)).execute();
+    await db
+      .delete(messages)
+      .where(eq(messages.chatId, req.params.id))
+      .execute();
+
+    return res.status(200).json({ message: 'Chat deleted successfully' });
+  } catch (err) {
+    res.status(500).json({ message: 'An error has occurred.' });
+    logger.error(`Error in deleting chat: ${err.message}`);
+  }
+});
+
 export default router;

src/routes/config.ts

@@ -6,13 +6,26 @@ import {
 import {
   getGroqApiKey,
   getOllamaApiEndpoint,
+  getAnthropicApiKey,
   getOpenaiApiKey,
   updateConfig,
+  getConfigPassword,
+  isLibraryEnabled,
+  isCopilotEnabled,
+  isDiscoverEnabled,
 } from '../config';
 
 const router = express.Router();
 
-router.get('/', async (_, res) => {
+router.get('/', async (req, res) => {
+  const authHeader = req.headers['authorization']?.split(' ')[1];
+  const password = getConfigPassword();
+
+  if (authHeader !== password) {
+    res.status(401).json({ message: 'Unauthorized' });
+    return;
+  }
+
   const config = {};
 
   const [chatModelProviders, embeddingModelProviders] = await Promise.all([
@@ -37,18 +50,36 @@ router.get('/', async (_, res) => {
 
   config['openaiApiKey'] = getOpenaiApiKey();
   config['ollamaApiUrl'] = getOllamaApiEndpoint();
+  config['anthropicApiKey'] = getAnthropicApiKey();
   config['groqApiKey'] = getGroqApiKey();
+  config['isLibraryEnabled'] = isLibraryEnabled();
+  config['isCopilotEnabled'] = isCopilotEnabled();
+  config['isDiscoverEnabled'] = isDiscoverEnabled();
 
   res.status(200).json(config);
 });
 
 router.post('/', async (req, res) => {
+  const authHeader = req.headers['authorization']?.split(' ')[1];
+  const password = getConfigPassword();
+
+  if (authHeader !== password) {
+    res.status(401).json({ message: 'Unauthorized' });
+    return;
+  }
+
   const config = req.body;
 
   const updatedConfig = {
+    GENERAL: {
+      DISCOVER_ENABLED: config.isDiscoverEnabled,
+      LIBRARY_ENABLED: config.isLibraryEnabled,
+      COPILOT_ENABLED: config.isCopilotEnabled,
+    },
     API_KEYS: {
       OPENAI: config.openaiApiKey,
       GROQ: config.groqApiKey,
+      ANTHROPIC: config.anthropicApiKey,
     },
     API_ENDPOINTS: {
       OLLAMA: config.ollamaApiUrl,
@@ -60,4 +91,14 @@ router.post('/', async (req, res) => {
   res.status(200).json({ message: 'Config updated' });
 });
 
+router.get('/preferences', (_, res) => {
+  const preferences = {
+    isLibraryEnabled: isLibraryEnabled(),
+    isCopilotEnabled: isCopilotEnabled(),
+    isDiscoverEnabled: isDiscoverEnabled(),
+  };
+
+  res.status(200).json(preferences);
+});
+
 export default router;

src/routes/models.ts

@@ -9,10 +9,33 @@ const router = express.Router();
 
 router.get('/', async (req, res) => {
   try {
-    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+    const [chatModelProvidersRaw, embeddingModelProvidersRaw] =
-      getAvailableChatModelProviders(),
+      await Promise.all([
-      getAvailableEmbeddingModelProviders(),
+        getAvailableChatModelProviders(),
-    ]);
+        getAvailableEmbeddingModelProviders(),
+      ]);
+
+    const chatModelProviders = {};
+
+    const chatModelProvidersKeys = Object.keys(chatModelProvidersRaw);
+    chatModelProvidersKeys.forEach((provider) => {
+      chatModelProviders[provider] = {};
+      const models = Object.keys(chatModelProvidersRaw[provider]);
+      models.forEach((model) => {
+        chatModelProviders[provider][model] = {};
+      });
+    });
+
+    const embeddingModelProviders = {};
+
+    const embeddingModelProvidersKeys = Object.keys(embeddingModelProvidersRaw);
+    embeddingModelProvidersKeys.forEach((provider) => {
+      embeddingModelProviders[provider] = {};
+      const models = Object.keys(embeddingModelProvidersRaw[provider]);
+      models.forEach((model) => {
+        embeddingModelProviders[provider][model] = {};
+      });
+    });
 
     res.status(200).json({ chatModelProviders, embeddingModelProviders });
   } catch (err) {

src/websocket/connectionManager.ts

@@ -45,7 +45,7 @@ export const handleConnection = async (
       chatModelProviders[chatModelProvider][chatModel] &&
       chatModelProvider != 'custom_openai'
     ) {
-      llm = chatModelProviders[chatModelProvider][chatModel] as
+      llm = chatModelProviders[chatModelProvider][chatModel] as unknown as
         | BaseChatModel
         | undefined;
     } else if (chatModelProvider == 'custom_openai') {
@@ -56,7 +56,7 @@ export const handleConnection = async (
         configuration: {
           baseURL: searchParams.get('openAIBaseURL'),
         },
-      });
+      }) as unknown as BaseChatModel;
     }
 
     if (

src/websocket/messageHandler.ts

@@ -13,6 +13,7 @@ import db from '../db';
 import { chats, messages } from '../db/schema';
 import { eq } from 'drizzle-orm';
 import crypto from 'crypto';
+import { isLibraryEnabled } from '../config';
 
 type Message = {
   messageId: string;
@@ -46,6 +47,8 @@ const handleEmitterEvents = (
   let recievedMessage = '';
   let sources = [];
 
+  const libraryEnabled = isLibraryEnabled();
+
   emitter.on('data', (data) => {
     const parsedData = JSON.parse(data);
     if (parsedData.type === 'response') {
@@ -71,18 +74,20 @@ const handleEmitterEvents = (
   emitter.on('end', () => {
     ws.send(JSON.stringify({ type: 'messageEnd', messageId: messageId }));
 
-    db.insert(messages)
+    if (libraryEnabled) {
-      .values({
+      db.insert(messages)
-        content: recievedMessage,
+        .values({
-        chatId: chatId,
+          content: recievedMessage,
-        messageId: messageId,
+          chatId: chatId,
-        role: 'assistant',
+          messageId: messageId,
-        metadata: JSON.stringify({
+          role: 'assistant',
-          createdAt: new Date(),
+          metadata: JSON.stringify({
-          ...(sources && sources.length > 0 && { sources }),
+            createdAt: new Date(),
-        }),
+            ...(sources && sources.length > 0 && { sources }),
-      })
+          }),
-      .execute();
+        })
+        .execute();
+    }
   });
   emitter.on('error', (data) => {
     const parsedData = JSON.parse(data);
@@ -132,6 +137,8 @@ export const handleMessage = async (
     if (parsedWSMessage.type === 'message') {
       const handler = searchHandlers[parsedWSMessage.focusMode];
 
+      const libraryEnabled = isLibraryEnabled();
+
       if (handler) {
         const emitter = handler(
           parsedMessage.content,
@@ -142,34 +149,36 @@ export const handleMessage = async (
 
         handleEmitterEvents(emitter, ws, id, parsedMessage.chatId);
 
-        const chat = await db.query.chats.findFirst({
+        if (libraryEnabled) {
-          where: eq(chats.id, parsedMessage.chatId),
+          const chat = await db.query.chats.findFirst({
-        });
+            where: eq(chats.id, parsedMessage.chatId),
+          });
+
+          if (!chat) {
+            await db
+              .insert(chats)
+              .values({
+                id: parsedMessage.chatId,
+                title: parsedMessage.content,
+                createdAt: new Date().toString(),
+                focusMode: parsedWSMessage.focusMode,
+              })
+              .execute();
+          }
 
-        if (!chat) {
           await db
-            .insert(chats)
+            .insert(messages)
             .values({
-              id: parsedMessage.chatId,
+              content: parsedMessage.content,
-              title: parsedMessage.content,
+              chatId: parsedMessage.chatId,
-              createdAt: new Date().toString(),
+              messageId: id,
-              focusMode: parsedWSMessage.focusMode,
+              role: 'user',
+              metadata: JSON.stringify({
+                createdAt: new Date(),
+              }),
             })
             .execute();
         }
-
-        await db
-          .insert(messages)
-          .values({
-            content: parsedMessage.content,
-            chatId: parsedMessage.chatId,
-            messageId: id,
-            role: 'user',
-            metadata: JSON.stringify({
-              createdAt: new Date(),
-            }),
-          })
-          .execute();
       } else {
         ws.send(
           JSON.stringify({

ui/app/layout.tsx

@@ -34,7 +34,7 @@ export default function RootLayout({
               unstyled: true,
               classNames: {
                 toast:
-                  'bg-light-primary dark:bg-dark-primary text-white rounded-lg p-4 flex flex-row items-center space-x-2',
+                  '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',
               },
             }}
           />

ui/app/library/layout.tsx

@@ -5,7 +5,31 @@ export const metadata: Metadata = {
   title: 'Library - Perplexica',
 };
 
-const Layout = ({ children }: { children: React.ReactNode }) => {
+const Layout = async ({ children }: { children: React.ReactNode }) => {
+  const res = await fetch(
+    `${process.env.NEXT_PUBLIC_API_URL}/config/preferences`,
+    {
+      method: 'GET',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    },
+  );
+
+  const data = await res.json();
+
+  const { isLibraryEnabled } = data;
+
+  if (!isLibraryEnabled) {
+    return (
+      <div className="flex flex-row items-center justify-center min-h-screen w-full">
+        <p className="text-lg dark:text-white/70 text-black/70">
+          Library is disabled
+        </p>
+      </div>
+    );
+  }
+
   return <div>{children}</div>;
 };
 

ui/app/library/page.tsx

@@ -1,11 +1,12 @@
 'use client';
 
+import DeleteChat from '@/components/DeleteChat';
 import { formatTimeDifference } from '@/lib/utils';
-import { BookOpenText, ClockIcon, ScanEye } from 'lucide-react';
+import { BookOpenText, ClockIcon } from 'lucide-react';
 import Link from 'next/link';
 import { useEffect, useState } from 'react';
 
-interface Chat {
+export interface Chat {
   id: string;
   title: string;
   createdAt: string;
@@ -92,6 +93,11 @@ const Page = () => {
                     {formatTimeDifference(new Date(), chat.createdAt)} Ago
                   </p>
                 </div>
+                <DeleteChat
+                  chatId={chat.id}
+                  chats={chats}
+                  setChats={setChats}
+                />
               </div>
             </div>
           ))}

ui/components/ChatWindow.tsx

@@ -9,6 +9,7 @@ import crypto from 'crypto';
 import { toast } from 'sonner';
 import { useSearchParams } from 'next/navigation';
 import { getSuggestions } from '@/lib/actions';
+import Error from 'next/error';
 
 export type Message = {
   messageId: string;
@@ -37,43 +38,54 @@ const useSocket = (
           'embeddingModelProvider',
         );
 
+        const providers = await fetch(
+          `${process.env.NEXT_PUBLIC_API_URL}/models`,
+          {
+            headers: {
+              'Content-Type': 'application/json',
+            },
+          },
+        ).then(async (res) => await res.json());
+
         if (
           !chatModel ||
           !chatModelProvider ||
           !embeddingModel ||
           !embeddingModelProvider
         ) {
-          const providers = await fetch(
+          if (!chatModel || !chatModelProvider) {
-            `${process.env.NEXT_PUBLIC_API_URL}/models`,
+            const chatModelProviders = providers.chatModelProviders;
-            {
-              headers: {
-                'Content-Type': 'application/json',
-              },
-            },
-          ).then(async (res) => await res.json());
 
-          const chatModelProviders = providers.chatModelProviders;
+            chatModelProvider = Object.keys(chatModelProviders)[0];
-          const embeddingModelProviders = providers.embeddingModelProviders;
 
-          if (
+            if (chatModelProvider === 'custom_openai') {
-            !chatModelProviders ||
+              toast.error('Seems like you are using the custom OpenAI provider, please open the settings and configure the API key and base URL');
-            Object.keys(chatModelProviders).length === 0
+              setError(true);
-          )
+              return;
-            return toast.error('No chat models available');
+            } else {
+              chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+              if (
+                !chatModelProviders ||
+                Object.keys(chatModelProviders).length === 0
+              )
+                return toast.error('No chat models available');
+            }
+          }
 
-          if (
+          if (!embeddingModel || !embeddingModelProvider) {
-            !embeddingModelProviders ||
+            const embeddingModelProviders = providers.embeddingModelProviders;
-            Object.keys(embeddingModelProviders).length === 0
-          )
-            return toast.error('No embedding models available');
 
-          chatModelProvider = Object.keys(chatModelProviders)[0];
+            if (
-          chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+              !embeddingModelProviders ||
+              Object.keys(embeddingModelProviders).length === 0
+            )
+              return toast.error('No embedding models available');
 
-          embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+            embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
-          embeddingModel = Object.keys(
+            embeddingModel = Object.keys(
-            embeddingModelProviders[embeddingModelProvider],
+              embeddingModelProviders[embeddingModelProvider],
-          )[0];
+            )[0];
+          }
 
           localStorage.setItem('chatModel', chatModel!);
           localStorage.setItem('chatModelProvider', chatModelProvider);
@@ -82,6 +94,47 @@ const useSocket = (
             'embeddingModelProvider',
             embeddingModelProvider,
           );
+        } else {
+          const chatModelProviders = providers.chatModelProviders;
+          const embeddingModelProviders = providers.embeddingModelProviders;
+
+          if (
+            Object.keys(chatModelProviders).length > 0 &&
+            !chatModelProviders[chatModelProvider]
+          ) {
+            chatModelProvider = Object.keys(chatModelProviders)[0];
+            localStorage.setItem('chatModelProvider', chatModelProvider);
+          }
+
+          if (
+            chatModelProvider &&
+            chatModelProvider != 'custom_openai' &&
+            !chatModelProviders[chatModelProvider][chatModel]
+          ) {
+            chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+            localStorage.setItem('chatModel', chatModel);
+          }
+
+          if (
+            Object.keys(embeddingModelProviders).length > 0 &&
+            !embeddingModelProviders[embeddingModelProvider]
+          ) {
+            embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+            localStorage.setItem(
+              'embeddingModelProvider',
+              embeddingModelProvider,
+            );
+          }
+
+          if (
+            embeddingModelProvider &&
+            !embeddingModelProviders[embeddingModelProvider][embeddingModel]
+          ) {
+            embeddingModel = Object.keys(
+              embeddingModelProviders[embeddingModelProvider],
+            )[0];
+            localStorage.setItem('embeddingModel', embeddingModel);
+          }
         }
 
         const wsURL = new URL(url);
@@ -110,8 +163,6 @@ const useSocket = (
 
         const timeoutId = setTimeout(() => {
           if (ws.readyState !== 1) {
-            ws.close();
-            setError(true);
             toast.error(
               'Failed to connect to the server. Please try again later.',
             );
@@ -121,7 +172,6 @@ const useSocket = (
         ws.onopen = () => {
           console.log('[DEBUG] open');
           clearTimeout(timeoutId);
-          setError(false);
           setIsWSReady(true);
         };
 
@@ -137,6 +187,13 @@ const useSocket = (
           console.log('[DEBUG] closed');
         };
 
+        ws.addEventListener('message', (e) => {
+          const data = JSON.parse(e.data);
+          if (data.type === 'error') {
+            toast.error(data.data);
+          }
+        })
+
         setWs(ws);
       };
 
@@ -144,8 +201,10 @@ const useSocket = (
     }
 
     return () => {
-      ws?.close();
+      if (ws?.readyState === 1) {
-      console.log('[DEBUG] closed');
+        ws?.close();
+        console.log('[DEBUG] closed');
+      }
     };
   }, [ws, url, setIsWSReady, setError]);
 
@@ -158,6 +217,7 @@ const loadMessages = async (
   setIsMessagesLoaded: (loaded: boolean) => void,
   setChatHistory: (history: [string, string][]) => void,
   setFocusMode: (mode: string) => void,
+  setNotFound: (notFound: boolean) => void,
 ) => {
   const res = await fetch(
     `${process.env.NEXT_PUBLIC_API_URL}/chats/${chatId}`,
@@ -169,6 +229,12 @@ const loadMessages = async (
     },
   );
 
+  if (res.status === 404) {
+    setNotFound(true);
+    setIsMessagesLoaded(true);
+    return;
+  }
+
   const data = await res.json();
 
   const messages = data.messages.map((msg: any) => {
@@ -190,7 +256,6 @@ const loadMessages = async (
 
   setChatHistory(history);
   setFocusMode(data.chat.focusMode);
-  console.log(data);
   setIsMessagesLoaded(true);
 };
 
@@ -221,6 +286,8 @@ const ChatWindow = ({ id }: { id?: string }) => {
 
   const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
 
+  const [notFound, setNotFound] = useState(false);
+
   useEffect(() => {
     if (
       chatId &&
@@ -234,6 +301,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
         setIsMessagesLoaded,
         setChatHistory,
         setFocusMode,
+        setNotFound,
       );
     } else if (!chatId) {
       setNewChatCreated(true);
@@ -416,26 +484,30 @@ const ChatWindow = ({ id }: { id?: string }) => {
   }
 
   return isReady ? (
-    <div>
+    notFound ? (
-      {messages.length > 0 ? (
+      <Error statusCode={404} />
-        <>
+    ) : (
-          <Navbar messages={messages} />
+      <div>
-          <Chat
+        {messages.length > 0 ? (
-            loading={loading}
+          <>
-            messages={messages}
+            <Navbar messages={messages} />
+            <Chat
+              loading={loading}
+              messages={messages}
+              sendMessage={sendMessage}
+              messageAppeared={messageAppeared}
+              rewrite={rewrite}
+            />
+          </>
+        ) : (
+          <EmptyChat
             sendMessage={sendMessage}
-            messageAppeared={messageAppeared}
+            focusMode={focusMode}
-            rewrite={rewrite}
+            setFocusMode={setFocusMode}
           />
-        </>
+        )}
-      ) : (
+      </div>
-        <EmptyChat
+    )
-          sendMessage={sendMessage}
-          focusMode={focusMode}
-          setFocusMode={setFocusMode}
-        />
-      )}
-    </div>
   ) : (
     <div className="flex flex-row items-center justify-center min-h-screen">
       <svg

ui/components/DeleteChat.tsx

@@ -0,0 +1,114 @@
+import { Delete, Trash } from 'lucide-react';
+import { Dialog, Transition } from '@headlessui/react';
+import { Fragment, useState } from 'react';
+import { toast } from 'sonner';
+import { Chat } from '@/app/library/page';
+
+const DeleteChat = ({
+  chatId,
+  chats,
+  setChats,
+}: {
+  chatId: string;
+  chats: Chat[];
+  setChats: (chats: Chat[]) => void;
+}) => {
+  const [confirmationDialogOpen, setConfirmationDialogOpen] = useState(false);
+  const [loading, setLoading] = useState(false);
+
+  const handleDelete = async () => {
+    setLoading(true);
+    try {
+      const res = await fetch(
+        `${process.env.NEXT_PUBLIC_API_URL}/chats/${chatId}`,
+        {
+          method: 'DELETE',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        },
+      );
+
+      if (res.status != 200) {
+        throw new Error('Failed to delete chat');
+      }
+
+      const newChats = chats.filter((chat) => chat.id !== chatId);
+
+      setChats(newChats);
+    } catch (err: any) {
+      toast.error(err.message);
+    } finally {
+      setConfirmationDialogOpen(false);
+      setLoading(false);
+    }
+  };
+
+  return (
+    <>
+      <button
+        onClick={() => {
+          setConfirmationDialogOpen(true);
+        }}
+        className="bg-transparent text-red-400 hover:scale-105 transition duration-200"
+      >
+        <Trash size={17} />
+      </button>
+      <Transition appear show={confirmationDialogOpen} as={Fragment}>
+        <Dialog
+          as="div"
+          className="relative z-50"
+          onClose={() => {
+            if (!loading) {
+              setConfirmationDialogOpen(false);
+            }
+          }}
+        >
+          <Dialog.Backdrop className="fixed inset-0 bg-black/30" />
+          <div className="fixed inset-0 overflow-y-auto">
+            <div className="flex min-h-full items-center justify-center p-4 text-center">
+              <Transition.Child
+                as={Fragment}
+                enter="ease-out duration-200"
+                enterFrom="opacity-0 scale-95"
+                enterTo="opacity-100 scale-100"
+                leave="ease-in duration-100"
+                leaveFrom="opacity-100 scale-200"
+                leaveTo="opacity-0 scale-95"
+              >
+                <Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
+                  <Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
+                    Delete Confirmation
+                  </Dialog.Title>
+                  <Dialog.Description className="text-sm dark:text-white/70 text-black/70">
+                    Are you sure you want to delete this chat?
+                  </Dialog.Description>
+                  <div className="flex flex-row items-end justify-end space-x-4 mt-6">
+                    <button
+                      onClick={() => {
+                        if (!loading) {
+                          setConfirmationDialogOpen(false);
+                        }
+                      }}
+                      className="text-black/50 dark:text-white/50 text-sm hover:text-black/70 hover:dark:text-white/70 transition duration-200"
+                    >
+                      Cancel
+                    </button>
+                    <button
+                      onClick={handleDelete}
+                      className="text-red-400 text-sm hover:text-red-500 transition duration200"
+                    >
+                      Delete
+                    </button>
+                  </div>
+                </Dialog.Panel>
+              </Transition.Child>
+            </div>
+          </div>
+        </Dialog>
+      </Transition>
+    </>
+  );
+};
+
+export default DeleteChat;

ui/components/MessageInputActions/Copilot.tsx

@@ -1,5 +1,6 @@
 import { cn } from '@/lib/utils';
 import { Switch } from '@headlessui/react';
+import { useEffect } from 'react';
 
 const CopilotToggle = ({
   copilotEnabled,
@@ -8,11 +9,33 @@ const CopilotToggle = ({
   copilotEnabled: boolean;
   setCopilotEnabled: (enabled: boolean) => void;
 }) => {
+  const fetchAndSetCopilotEnabled = async () => {
+    const res = await fetch(
+      `${process.env.NEXT_PUBLIC_API_URL}/config/preferences`,
+      {
+        method: 'GET',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      },
+    );
+
+    const preferences = await res.json();
+
+    setCopilotEnabled(preferences.isCopilotEnabled);
+  };
+
+  useEffect(() => {
+    fetchAndSetCopilotEnabled();
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, []);
+
   return (
     <div className="group flex flex-row items-center space-x-1 active:scale-95 duration-200 transition cursor-pointer">
       <Switch
         checked={copilotEnabled}
         onChange={setCopilotEnabled}
+        disabled={true}
         className="bg-light-secondary dark:bg-dark-secondary border border-light-200/70 dark:border-dark-200 relative inline-flex h-5 w-10 sm:h-6 sm:w-11 items-center rounded-full"
       >
         <span className="sr-only">Copilot</span>

ui/components/SettingsDialog.tsx

@@ -1,5 +1,5 @@
 import { cn } from '@/lib/utils';
-import { Dialog, Transition } from '@headlessui/react';
+import { Dialog, Switch, Transition } from '@headlessui/react';
 import { CloudUpload, RefreshCcw, RefreshCw } from 'lucide-react';
 import React, {
   Fragment,
@@ -8,6 +8,7 @@ import React, {
   type SelectHTMLAttributes,
 } from 'react';
 import ThemeSwitcher from './theme/Switcher';
+import { toast } from 'sonner';
 
 interface InputProps extends React.InputHTMLAttributes<HTMLInputElement> {}
 
@@ -56,7 +57,11 @@ interface SettingsType {
   };
   openaiApiKey: string;
   groqApiKey: string;
+  anthropicApiKey: string;
   ollamaApiUrl: string;
+  isCopilotEnabled: boolean;
+  isDiscoverEnabled: boolean;
+  isLibraryEnabled: boolean;
 }
 
 const SettingsDialog = ({
@@ -83,78 +88,91 @@ const SettingsDialog = ({
   const [isLoading, setIsLoading] = useState(false);
   const [isUpdating, setIsUpdating] = useState(false);
 
-  useEffect(() => {
+  const [password, setPassword] = useState('');
-    if (isOpen) {
+  const [passwordSubmitted, setPasswordSubmitted] = useState(false);
-      const fetchConfig = async () => {
+  const [isPasswordValid, setIsPasswordValid] = useState(true);
-        setIsLoading(true);
-        const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
-          headers: {
-            'Content-Type': 'application/json',
-          },
-        });
 
-        const data = (await res.json()) as SettingsType;
+  const handlePasswordSubmit = async () => {
-        setConfig(data);
+    setIsLoading(true);
+    setPasswordSubmitted(true);
 
-        const chatModelProvidersKeys = Object.keys(
+    const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
-          data.chatModelProviders || {},
+      headers: {
-        );
+        'Content-Type': 'application/json',
-        const embeddingModelProvidersKeys = Object.keys(
+        Authorization: `Bearer ${password}`,
-          data.embeddingModelProviders || {},
+      },
-        );
+    });
 
-        const defaultChatModelProvider =
+    if (res.status === 401) {
-          chatModelProvidersKeys.length > 0 ? chatModelProvidersKeys[0] : '';
+      setIsPasswordValid(false);
-        const defaultEmbeddingModelProvider =
+      setPasswordSubmitted(false);
-          embeddingModelProvidersKeys.length > 0
+      setIsLoading(false);
-            ? embeddingModelProvidersKeys[0]
+      return;
-            : '';
+    } else {
-
+      setIsPasswordValid(true);
-        const chatModelProvider =
-          localStorage.getItem('chatModelProvider') ||
-          defaultChatModelProvider ||
-          '';
-        const chatModel =
-          localStorage.getItem('chatModel') ||
-          (data.chatModelProviders &&
-            data.chatModelProviders[chatModelProvider]?.[0]) ||
-          '';
-        const embeddingModelProvider =
-          localStorage.getItem('embeddingModelProvider') ||
-          defaultEmbeddingModelProvider ||
-          '';
-        const embeddingModel =
-          localStorage.getItem('embeddingModel') ||
-          (data.embeddingModelProviders &&
-            data.embeddingModelProviders[embeddingModelProvider]?.[0]) ||
-          '';
-
-        setSelectedChatModelProvider(chatModelProvider);
-        setSelectedChatModel(chatModel);
-        setSelectedEmbeddingModelProvider(embeddingModelProvider);
-        setSelectedEmbeddingModel(embeddingModel);
-        setCustomOpenAIApiKey(localStorage.getItem('openAIApiKey') || '');
-        setCustomOpenAIBaseURL(localStorage.getItem('openAIBaseURL') || '');
-        setIsLoading(false);
-      };
-
-      fetchConfig();
     }
-    // eslint-disable-next-line react-hooks/exhaustive-deps
+
-  }, [isOpen]);
+    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]?.[0]) ||
+      '';
+    const embeddingModelProvider =
+      localStorage.getItem('embeddingModelProvider') ||
+      defaultEmbeddingModelProvider ||
+      '';
+    const embeddingModel =
+      localStorage.getItem('embeddingModel') ||
+      (data.embeddingModelProviders &&
+        data.embeddingModelProviders[embeddingModelProvider]?.[0]) ||
+      '';
+
+    setSelectedChatModelProvider(chatModelProvider);
+    setSelectedChatModel(chatModel);
+    setSelectedEmbeddingModelProvider(embeddingModelProvider);
+    setSelectedEmbeddingModel(embeddingModel);
+    setCustomOpenAIApiKey(localStorage.getItem('openAIApiKey') || '');
+    setCustomOpenAIBaseURL(localStorage.getItem('openAIBaseURL') || '');
+    setIsLoading(false);
+  };
 
   const handleSubmit = async () => {
     setIsUpdating(true);
 
     try {
-      await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
+      const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/config`, {
         method: 'POST',
         headers: {
           'Content-Type': 'application/json',
+          Authorization: `Bearer ${password}`,
         },
         body: JSON.stringify(config),
       });
 
+      if (res.status === 401) {
+        toast.error('Unauthorized');
+        return;
+      }
+
       localStorage.setItem('chatModelProvider', selectedChatModelProvider!);
       localStorage.setItem('chatModel', selectedChatModel!);
       localStorage.setItem(
@@ -204,264 +222,400 @@ const SettingsDialog = ({
               leaveTo="opacity-0 scale-95"
             >
               <Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
-                <Dialog.Title className="text-xl font-medium leading-6 dark:text-white">
+                {isPasswordValid && passwordSubmitted && (
-                  Settings
+                  <>
-                </Dialog.Title>
+                    <Dialog.Title className="text-xl font-medium leading-6 dark:text-white">
-                {config && !isLoading && (
+                      Settings
-                  <div className="flex flex-col space-y-4 mt-6">
+                    </Dialog.Title>
-                    <div className="flex flex-col space-y-1">
+                    {config && !isLoading && (
-                      <p className="text-black/70 dark:text-white/70 text-sm">
+                      <div className="flex flex-col space-y-4 mt-6">
-                        Theme
-                      </p>
-                      <ThemeSwitcher />
-                    </div>
-                    {config.chatModelProviders && (
-                      <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) => {
-                            setSelectedChatModelProvider(e.target.value);
-                            setSelectedChatModel(
-                              config.chatModelProviders[e.target.value][0],
-                            );
-                          }}
-                          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
+                            Theme
                           </p>
-                          <Select
+                          <ThemeSwitcher />
-                            value={selectedChatModel ?? undefined}
+                        </div>
-                            onChange={(e) =>
+                        <div className="flex flex-col items-start space-y-2">
-                              setSelectedChatModel(e.target.value)
+                          <p className="text-black/70 dark:text-white/70 text-sm">
-                            }
+                            Copilot enabled
-                            options={(() => {
+                          </p>
-                              const chatModelProvider =
+                          <Switch
-                                config.chatModelProviders[
+                            checked={config.isCopilotEnabled}
-                                  selectedChatModelProvider
+                            onChange={(checked) => {
-                                ];
+                              setConfig({
+                                ...config,
+                                isCopilotEnabled: checked,
+                              });
+                            }}
+                            className="bg-light-secondary dark:bg-dark-secondary border border-light-200/70 dark:border-dark-200 relative inline-flex h-5 w-10 sm:h-6 sm:w-11 items-center rounded-full active:scale-95 duration-200 transition cursor-pointer"
+                          >
+                            <span className="sr-only">Copilot</span>
+                            <span
+                              className={cn(
+                                config.isCopilotEnabled
+                                  ? 'translate-x-6 bg-[#24A0ED]'
+                                  : 'translate-x-1 bg-black/50 dark:bg-white/50',
+                                'inline-block h-3 w-3 sm:h-4 sm:w-4 transform rounded-full transition-all duration-200',
+                              )}
+                            />
+                          </Switch>
+                        </div>
+                        <div className="flex flex-col items-start space-y-2">
+                          <p className="text-black/70 dark:text-white/70 text-sm">
+                            Discover enabled
+                          </p>
+                          <Switch
+                            checked={config.isDiscoverEnabled}
+                            onChange={(checked) => {
+                              setConfig({
+                                ...config,
+                                isDiscoverEnabled: checked,
+                              });
+                            }}
+                            className="bg-light-secondary dark:bg-dark-secondary border border-light-200/70 dark:border-dark-200 relative inline-flex h-5 w-10 sm:h-6 sm:w-11 items-center rounded-full active:scale-95 duration-200 transition cursor-pointer"
+                          >
+                            <span className="sr-only">Discover</span>
+                            <span
+                              className={cn(
+                                config.isDiscoverEnabled
+                                  ? 'translate-x-6 bg-[#24A0ED]'
+                                  : 'translate-x-1 bg-black/50 dark:bg-white/50',
+                                'inline-block h-3 w-3 sm:h-4 sm:w-4 transform rounded-full transition-all duration-200',
+                              )}
+                            />
+                          </Switch>
+                        </div>
+                        <div className="flex flex-col items-start space-y-2">
+                          <p className="text-black/70 dark:text-white/70 text-sm">
+                            Library enabled
+                          </p>
+                          <Switch
+                            checked={config.isLibraryEnabled}
+                            onChange={(checked) => {
+                              setConfig({
+                                ...config,
+                                isLibraryEnabled: checked,
+                              });
+                            }}
+                            className="bg-light-secondary dark:bg-dark-secondary border border-light-200/70 dark:border-dark-200 relative inline-flex h-5 w-10 sm:h-6 sm:w-11 items-center rounded-full active:scale-95 duration-200 transition cursor-pointer"
+                          >
+                            <span className="sr-only">Library</span>
+                            <span
+                              className={cn(
+                                config.isLibraryEnabled
+                                  ? 'translate-x-6 bg-[#24A0ED]'
+                                  : 'translate-x-1 bg-black/50 dark:bg-white/50',
+                                'inline-block h-3 w-3 sm:h-4 sm:w-4 transform rounded-full transition-all duration-200',
+                              )}
+                            />
+                          </Switch>
+                        </div>
+                        {config.chatModelProviders && (
+                          <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) => {
+                                setSelectedChatModelProvider(e.target.value);
+                                if (e.target.value === 'custom_openai') {
+                                  setSelectedChatModel('');
+                                } else {
+                                  setSelectedChatModel(
+                                    config.chatModelProviders[
+                                      e.target.value
+                                    ][0],
+                                  );
+                                }
+                              }}
+                              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) =>
+                                  setSelectedChatModel(e.target.value)
+                                }
+                                options={(() => {
+                                  const chatModelProvider =
+                                    config.chatModelProviders[
+                                      selectedChatModelProvider
+                                    ];
 
-                              return chatModelProvider
+                                  return chatModelProvider
-                                ? chatModelProvider.length > 0
+                                    ? chatModelProvider.length > 0
-                                  ? chatModelProvider.map((model) => ({
+                                      ? chatModelProvider.map((model) => ({
-                                      value: model,
+                                          value: model,
-                                      label: model,
+                                          label: model,
-                                    }))
+                                        }))
+                                      : [
+                                          {
+                                            value: '',
+                                            label: 'No models available',
+                                            disabled: true,
+                                          },
+                                        ]
+                                    : [
+                                        {
+                                          value: '',
+                                          label:
+                                            'Invalid provider, please check backend logs',
+                                          disabled: true,
+                                        },
+                                      ];
+                                })()}
+                              />
+                            </div>
+                          )}
+                        {selectedChatModelProvider &&
+                          selectedChatModelProvider === 'custom_openai' && (
+                            <>
+                              <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"
+                                  defaultValue={selectedChatModel!}
+                                  onChange={(e) =>
+                                    setSelectedChatModel(e.target.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"
+                                  defaultValue={customOpenAIApiKey!}
+                                  onChange={(e) =>
+                                    setCustomOpenAIApiKey(e.target.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"
+                                  defaultValue={customOpenAIBaseURL!}
+                                  onChange={(e) =>
+                                    setCustomOpenAIBaseURL(e.target.value)
+                                  }
+                                />
+                              </div>
+                            </>
+                          )}
+                        {/* Embedding models */}
+                        {config.embeddingModelProviders && (
+                          <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) => {
+                                setSelectedEmbeddingModelProvider(
+                                  e.target.value,
+                                );
+                                setSelectedEmbeddingModel(
+                                  config.embeddingModelProviders[
+                                    e.target.value
+                                  ][0],
+                                );
+                              }}
+                              options={Object.keys(
+                                config.embeddingModelProviders,
+                              ).map((provider) => ({
+                                label:
+                                  provider.charAt(0).toUpperCase() +
+                                  provider.slice(1),
+                                value: provider,
+                              }))}
+                            />
+                          </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) =>
+                                setSelectedEmbeddingModel(e.target.value)
+                              }
+                              options={(() => {
+                                const embeddingModelProvider =
+                                  config.embeddingModelProviders[
+                                    selectedEmbeddingModelProvider
+                                  ];
+
+                                return embeddingModelProvider
+                                  ? embeddingModelProvider.length > 0
+                                    ? embeddingModelProvider.map((model) => ({
+                                        label: model,
+                                        value: model,
+                                      }))
+                                    : [
+                                        {
+                                          label:
+                                            'No embedding models available',
+                                          value: '',
+                                          disabled: true,
+                                        },
+                                      ]
                                   : [
                                       {
+                                        label:
+                                          'Invalid provider, please check backend logs',
                                         value: '',
-                                        label: 'No models available',
                                         disabled: true,
                                       },
-                                    ]
+                                    ];
-                                : [
+                              })()}
-                                    {
+                            />
-                                      value: '',
+                          </div>
-                                      label:
+                        )}
-                                        'Invalid provider, please check backend logs',
+                        <div className="flex flex-col space-y-1">
-                                      disabled: true,
+                          <p className="text-black/70 dark:text-white/70 text-sm">
-                                    },
+                            OpenAI API Key
-                                  ];
+                          </p>
-                            })()}
+                          <Input
+                            type="text"
+                            placeholder="OpenAI API Key"
+                            defaultValue={config.openaiApiKey}
+                            onChange={(e) =>
+                              setConfig({
+                                ...config,
+                                openaiApiKey: e.target.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"
+                            defaultValue={config.ollamaApiUrl}
+                            onChange={(e) =>
+                              setConfig({
+                                ...config,
+                                ollamaApiUrl: e.target.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"
+                            defaultValue={config.groqApiKey}
+                            onChange={(e) =>
+                              setConfig({
+                                ...config,
+                                groqApiKey: e.target.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"
+                            defaultValue={config.anthropicApiKey}
+                            onChange={(e) =>
+                              setConfig({
+                                ...config,
+                                anthropicApiKey: e.target.value,
+                              })
+                            }
                           />
                         </div>
-                      )}
-                    {selectedChatModelProvider &&
-                      selectedChatModelProvider === 'custom_openai' && (
-                        <>
-                          <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"
-                              defaultValue={selectedChatModel!}
-                              onChange={(e) =>
-                                setSelectedChatModel(e.target.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"
-                              defaultValue={customOpenAIApiKey!}
-                              onChange={(e) =>
-                                setCustomOpenAIApiKey(e.target.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"
-                              defaultValue={customOpenAIBaseURL!}
-                              onChange={(e) =>
-                                setCustomOpenAIBaseURL(e.target.value)
-                              }
-                            />
-                          </div>
-                        </>
-                      )}
-                    {/* Embedding models */}
-                    {config.embeddingModelProviders && (
-                      <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) => {
-                            setSelectedEmbeddingModelProvider(e.target.value);
-                            setSelectedEmbeddingModel(
-                              config.embeddingModelProviders[e.target.value][0],
-                            );
-                          }}
-                          options={Object.keys(
-                            config.embeddingModelProviders,
-                          ).map((provider) => ({
-                            label:
-                              provider.charAt(0).toUpperCase() +
-                              provider.slice(1),
-                            value: provider,
-                          }))}
-                        />
                       </div>
                     )}
-                    {selectedEmbeddingModelProvider && (
+                    {isLoading && (
-                      <div className="flex flex-col space-y-1">
+                      <div className="w-full flex items-center justify-center mt-6 text-black/70 dark:text-white/70 py-6">
-                        <p className="text-black/70 dark:text-white/70 text-sm">
+                        <RefreshCcw className="animate-spin" />
-                          Embedding Model
-                        </p>
-                        <Select
-                          value={selectedEmbeddingModel ?? undefined}
-                          onChange={(e) =>
-                            setSelectedEmbeddingModel(e.target.value)
-                          }
-                          options={(() => {
-                            const embeddingModelProvider =
-                              config.embeddingModelProviders[
-                                selectedEmbeddingModelProvider
-                              ];
-
-                            return embeddingModelProvider
-                              ? embeddingModelProvider.length > 0
-                                ? embeddingModelProvider.map((model) => ({
-                                    label: model,
-                                    value: model,
-                                  }))
-                                : [
-                                    {
-                                      label: 'No embedding models available',
-                                      value: '',
-                                      disabled: true,
-                                    },
-                                  ]
-                              : [
-                                  {
-                                    label:
-                                      'Invalid provider, please check backend logs',
-                                    value: '',
-                                    disabled: true,
-                                  },
-                                ];
-                          })()}
-                        />
                       </div>
                     )}
-                    <div className="flex flex-col space-y-1">
+                    <div className="w-full mt-6 space-y-2">
-                      <p className="text-black/70 dark:text-white/70 text-sm">
+                      <p className="text-xs text-black/50 dark:text-white/50">
-                        OpenAI API Key
+                        We&apos;ll refresh the page after updating the settings.
                       </p>
-                      <Input
+                      <button
-                        type="text"
+                        onClick={handleSubmit}
-                        placeholder="OpenAI API Key"
+                        className="bg-[#24A0ED] flex flex-row items-center space-x-2 text-white disabled:text-white/50 hover:bg-opacity-85 transition duration-100 disabled:bg-[#ececec21] rounded-full px-4 py-2"
-                        defaultValue={config.openaiApiKey}
+                        disabled={isLoading || isUpdating}
-                        onChange={(e) =>
+                      >
-                          setConfig({
+                        {isUpdating ? (
-                            ...config,
+                          <RefreshCw size={20} className="animate-spin" />
-                            openaiApiKey: e.target.value,
+                        ) : (
-                          })
+                          <CloudUpload size={20} />
-                        }
+                        )}
-                      />
+                      </button>
                     </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"
-                        defaultValue={config.ollamaApiUrl}
-                        onChange={(e) =>
-                          setConfig({
-                            ...config,
-                            ollamaApiUrl: e.target.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"
-                        defaultValue={config.groqApiKey}
-                        onChange={(e) =>
-                          setConfig({
-                            ...config,
-                            groqApiKey: e.target.value,
-                          })
-                        }
-                      />
-                    </div>
-                  </div>
                 )}
-                {isLoading && (
+                {!passwordSubmitted && (
-                  <div className="w-full flex items-center justify-center mt-6 text-black/70 dark:text-white/70 py-6">
+                  <>
-                    <RefreshCcw className="animate-spin" />
+                    <Dialog.Title className="text-sm dark:font-white/80 font-black/80">
-                  </div>
+                      Enter the password to access the settings
-                )}
+                    </Dialog.Title>
-                <div className="w-full mt-6 space-y-2">
+                    <div className="flex flex-col">
-                  <p className="text-xs text-black/50 dark:text-white/50">
+                      <Input
-                    We&apos;ll refresh the page after updating the settings.
+                        type="password"
-                  </p>
+                        placeholder="Password"
-                  <button
+                        className="mt-4"
-                    onClick={handleSubmit}
+                        disabled={isLoading}
-                    className="bg-[#24A0ED] flex flex-row items-center space-x-2 text-white disabled:text-white/50 hover:bg-opacity-85 transition duration-100 disabled:bg-[#ececec21] rounded-full px-4 py-2"
+                        onChange={(e) => setPassword(e.target.value)}
-                    disabled={isLoading || isUpdating}
+                      />
-                  >
+                    </div>
-                    {isUpdating ? (
+                    {!isPasswordValid && (
-                      <RefreshCw size={20} className="animate-spin" />
+                      <p className="text-xs text-red-500 mt-2">
-                    ) : (
+                        Password is incorrect
-                      <CloudUpload size={20} />
+                      </p>
                     )}
-                  </button>
+                    <button
-                </div>
+                      onClick={handlePasswordSubmit}
+                      disabled={isLoading}
+                      className="bg-[#24A0ED] flex flex-row items-center text-xs mt-4 text-white disabled:text-white/50 hover:bg-opacity-85 transition duration-100 disabled:bg-[#ececec21] rounded-full px-4 py-2"
+                    >
+                      Submit
+                    </button>
+                  </>
+                )}
               </Dialog.Panel>
             </Transition.Child>
           </div>

ui/components/Sidebar.tsx

@@ -4,10 +4,16 @@ import { cn } from '@/lib/utils';
 import { BookOpenText, Home, Search, SquarePen, Settings } from 'lucide-react';
 import Link from 'next/link';
 import { useSelectedLayoutSegments } from 'next/navigation';
-import React, { useState, type ReactNode } from 'react';
+import React, { useEffect, useMemo, useState, type ReactNode } from 'react';
 import Layout from './Layout';
 import SettingsDialog from './SettingsDialog';
 
+export type Preferences = {
+  isLibraryEnabled: boolean;
+  isDiscoverEnabled: boolean;
+  isCopilotEnabled: boolean;
+};
+
 const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
   return (
     <div className="flex flex-col items-center gap-y-3 w-full">{children}</div>
@@ -18,6 +24,31 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
   const segments = useSelectedLayoutSegments();
 
   const [isSettingsOpen, setIsSettingsOpen] = useState(false);
+  const [preferences, setPreferences] = useState<Preferences | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    const fetchPreferences = async () => {
+      setLoading(true);
+
+      const res = await fetch(
+        `${process.env.NEXT_PUBLIC_API_URL}/config/preferences`,
+        {
+          method: 'GET',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        },
+      );
+
+      const data = await res.json();
+
+      setPreferences(data);
+      setLoading(false);
+    };
+
+    fetchPreferences();
+  }, []);
 
   const navLinks = [
     {
@@ -25,22 +56,44 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
       href: '/',
       active: segments.length === 0 || segments.includes('c'),
       label: 'Home',
+      show: true,
     },
     {
       icon: Search,
       href: '/discover',
       active: segments.includes('discover'),
       label: 'Discover',
+      show: preferences?.isDiscoverEnabled,
     },
     {
       icon: BookOpenText,
       href: '/library',
       active: segments.includes('library'),
       label: 'Library',
+      show: preferences?.isLibraryEnabled,
     },
   ];
 
-  return (
+  return loading ? (
+    <div className="flex flex-row items-center justify-center h-full">
+      <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="hidden lg:fixed lg:inset-y-0 lg:z-50 lg:flex lg:w-20 lg:flex-col">
         <div className="flex grow flex-col items-center justify-between gap-y-5 overflow-y-auto bg-light-secondary dark:bg-dark-secondary px-2 py-8">
@@ -48,23 +101,26 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
             <SquarePen className="cursor-pointer" />
           </a>
           <VerticalIconContainer>
-            {navLinks.map((link, i) => (
+            {navLinks.map(
-              <Link
+              (link, i) =>
-                key={i}
+                link.show === true && (
-                href={link.href}
+                  <Link
-                className={cn(
+                    key={i}
-                  'relative flex flex-row items-center justify-center cursor-pointer hover:bg-black/10 dark:hover:bg-white/10 duration-150 transition w-full py-2 rounded-lg',
+                    href={link.href}
-                  link.active
+                    className={cn(
-                    ? 'text-black dark:text-white'
+                      'relative flex flex-row items-center justify-center cursor-pointer hover:bg-black/10 dark:hover:bg-white/10 duration-150 transition w-full py-2 rounded-lg',
-                    : 'text-black/70 dark:text-white/70',
+                      link.active
-                )}
+                        ? 'text-black dark:text-white'
-              >
+                        : 'text-black/70 dark:text-white/70',
-                <link.icon />
+                    )}
-                {link.active && (
+                  >
-                  <div className="absolute right-0 -mr-2 h-full w-1 rounded-l-lg bg-black dark:bg-white" />
+                    <link.icon />
-                )}
+                    {link.active && (
-              </Link>
+                      <div className="absolute right-0 -mr-2 h-full w-1 rounded-l-lg bg-black dark:bg-white" />
-            ))}
+                    )}
+                  </Link>
+                ),
+            )}
           </VerticalIconContainer>
 
           <Settings

ui/package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.7.0",
+  "version": "1.9.0-rc1",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {

yarn.lock

@@ -2,6 +2,20 @@
 # yarn lockfile v1
 
 
+"@anthropic-ai/sdk@^0.22.0":
+  version "0.22.0"
+  resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.22.0.tgz#548e4218d9810fd494e595d4e57cb2d46d301a1a"
+  integrity sha512-dv4BCC6FZJw3w66WNLsHlUFjhu19fS1L/5jMPApwhZLa/Oy1j0A2i3RypmDtHEPp4Wwg3aZkSHksp7VzYWjzmw==
+  dependencies:
+    "@types/node" "^18.11.18"
+    "@types/node-fetch" "^2.6.4"
+    abort-controller "^3.0.0"
+    agentkeepalive "^4.2.1"
+    form-data-encoder "1.7.2"
+    formdata-node "^4.3.2"
+    node-fetch "^2.6.7"
+    web-streams-polyfill "^3.2.1"
+
 "@anthropic-ai/sdk@^0.9.1":
   version "0.9.1"
   resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.9.1.tgz#b2d2b7bf05c90dce502c9a2e869066870f69ba88"
@@ -307,6 +321,34 @@
     "@jridgewell/resolve-uri" "^3.0.3"
     "@jridgewell/sourcemap-codec" "^1.4.10"
 
+"@langchain/anthropic@^0.2.3":
+  version "0.2.3"
+  resolved "https://registry.yarnpkg.com/@langchain/anthropic/-/anthropic-0.2.3.tgz#1505da939f47c90e53dfede0407c497b8177bdf0"
+  integrity sha512-f2fqzLGcvsXXUyZ1vl8cgwkKDGLshOGrPuR9hkhGuBG5m91eq755OqPBxWJuS1TFtNU813cXft3xh0MQbxavwg==
+  dependencies:
+    "@anthropic-ai/sdk" "^0.22.0"
+    "@langchain/core" ">=0.2.9 <0.3.0"
+    fast-xml-parser "^4.3.5"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.4"
+
+"@langchain/community@^0.2.16":
+  version "0.2.16"
+  resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.2.16.tgz#5888baf7fc7ea272c5f91aaa0e71bc444167262d"
+  integrity sha512-dFDcMabKACvuRd0w6EIRLWf1ubPGZEeEwFt9v1jiEr4HCFxH0OF+iM1QUCcVRbB2fK5lqmKeTD1XAeZV8+AyXA==
+  dependencies:
+    "@langchain/core" "~0.2.11"
+    "@langchain/openai" "~0.1.0"
+    binary-extensions "^2.2.0"
+    expr-eval "^2.0.2"
+    flat "^5.0.2"
+    js-yaml "^4.1.0"
+    langchain "0.2.3"
+    langsmith "~0.1.30"
+    uuid "^9.0.0"
+    zod "^3.22.3"
+    zod-to-json-schema "^3.22.5"
+
 "@langchain/community@~0.0.41":
   version "0.0.43"
   resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.0.43.tgz#017e2f9b3209b3999482f10df5aec2520731a63c"
@@ -320,6 +362,42 @@
     uuid "^9.0.0"
     zod "^3.22.3"
 
+"@langchain/core@>0.1.56 <0.3.0", "@langchain/core@>0.2.0 <0.3.0", "@langchain/core@>=0.2.5 <0.3.0", "@langchain/core@~0.2.0", "@langchain/core@~0.2.11":
+  version "0.2.11"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.11.tgz#5f47467e20e56b250831baef20083657c6facb4c"
+  integrity sha512-d4SNL7WI0c3oHrV4WxCRH1/TNqdePXEzYjYwIb4aEH6lW1aM0utGhLbNthX+aYkOL4Ynx2FoG4h91ECIipiKWQ==
+  dependencies:
+    ansi-styles "^5.0.0"
+    camelcase "6"
+    decamelize "1.2.0"
+    js-tiktoken "^1.0.12"
+    langsmith "~0.1.30"
+    ml-distance "^4.0.0"
+    mustache "^4.2.0"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^9.0.0"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
+"@langchain/core@>=0.2.9 <0.3.0":
+  version "0.2.15"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.2.15.tgz#1bb99ac4fffe935c7ba37edcaa91abfba3c82219"
+  integrity sha512-L096itIBQ5XNsy5BCCPqIQEk/x4rzI+U4BhYT+fDBYtljESshIi/WzXdmiGfY/6MpVjB76jNuaRgMDmo1m9NeQ==
+  dependencies:
+    ansi-styles "^5.0.0"
+    camelcase "6"
+    decamelize "1.2.0"
+    js-tiktoken "^1.0.12"
+    langsmith "~0.1.30"
+    ml-distance "^4.0.0"
+    mustache "^4.2.0"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^10.0.0"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
 "@langchain/core@~0.1.44", "@langchain/core@~0.1.45":
   version "0.1.52"
   resolved "https://registry.yarnpkg.com/@langchain/core/-/core-0.1.52.tgz#7619310b83ffa841628efe2e1eda873ca714d068"
@@ -348,6 +426,36 @@
     zod "^3.22.4"
     zod-to-json-schema "^3.22.3"
 
+"@langchain/openai@~0.0.28":
+  version "0.0.34"
+  resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.0.34.tgz#36c9bca0721ab9f7e5d40927e7c0429cacbd5b56"
+  integrity sha512-M+CW4oXle5fdoz2T2SwdOef8pl3/1XmUx1vjn2mXUVM/128aO0l23FMF0SNBsAbRV6P+p/TuzjodchJbi0Ht/A==
+  dependencies:
+    "@langchain/core" ">0.1.56 <0.3.0"
+    js-tiktoken "^1.0.12"
+    openai "^4.41.1"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
+"@langchain/openai@~0.1.0":
+  version "0.1.3"
+  resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.1.3.tgz#6eb0994e970d85ffa9aaeafb94449024ccf6ca63"
+  integrity sha512-riv/JC9x2A8b7GcHu8sx+mlZJ8KAwSSi231IPTlcciYnKozmrQ5H0vrtiD31fxiDbaRsk7tyCpkSBIOQEo7CyQ==
+  dependencies:
+    "@langchain/core" ">=0.2.5 <0.3.0"
+    js-tiktoken "^1.0.12"
+    openai "^4.49.1"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
+"@langchain/textsplitters@~0.0.0":
+  version "0.0.3"
+  resolved "https://registry.yarnpkg.com/@langchain/textsplitters/-/textsplitters-0.0.3.tgz#1a3cc93dd2ab330edb225400ded190a22fea14e3"
+  integrity sha512-cXWgKE3sdWLSqAa8ykbCcUsUF1Kyr5J3HOWYGuobhPEycXW4WI++d5DhzdpL238mzoEXTi90VqfSCra37l5YqA==
+  dependencies:
+    "@langchain/core" ">0.2.0 <0.3.0"
+    js-tiktoken "^1.0.12"
+
 "@protobufjs/aspromise@^1.1.1", "@protobufjs/aspromise@^1.1.2":
   version "1.1.2"
   resolved "https://registry.yarnpkg.com/@protobufjs/aspromise/-/aspromise-1.1.2.tgz#9b8b0cc663d669a7d8f6f5d0893a14d348f30fbf"
@@ -401,6 +509,14 @@
   resolved "https://registry.yarnpkg.com/@protobufjs/utf8/-/utf8-1.1.0.tgz#a777360b5b39a1a2e5106f8e858f2fd2d060c570"
   integrity sha512-Vvn3zZrhQZkkBE8LSuW3em98c0FwgO4nxzv6OdSxPKJIEKY2bGbHn+mhGIPerzI4twdxaP8/0+06HBpwf345Lw==
 
+"@selderee/plugin-htmlparser2@^0.11.0":
+  version "0.11.0"
+  resolved "https://registry.yarnpkg.com/@selderee/plugin-htmlparser2/-/plugin-htmlparser2-0.11.0.tgz#d5b5e29a7ba6d3958a1972c7be16f4b2c188c517"
+  integrity sha512-P33hHGdldxGabLFjPPpaTxVolMrzrcegejx+0GxjrIb9Zv48D8yAIA/QTDR2dFl7Uz7urX8aX6+5bCZslr+gWQ==
+  dependencies:
+    domhandler "^5.0.3"
+    selderee "^0.11.0"
+
 "@tsconfig/node10@^1.0.7":
   version "1.0.11"
   resolved "https://registry.yarnpkg.com/@tsconfig/node10/-/node10-1.0.11.tgz#6ee46400685f130e278128c7b38b7e031ff5b2f2"
@@ -470,6 +586,11 @@
     "@types/qs" "*"
     "@types/serve-static" "*"
 
+"@types/html-to-text@^9.0.4":
+  version "9.0.4"
+  resolved "https://registry.yarnpkg.com/@types/html-to-text/-/html-to-text-9.0.4.tgz#4a83dd8ae8bfa91457d0b1ffc26f4d0537eff58c"
+  integrity sha512-pUY3cKH/Nm2yYrEmDlPR1mR7yszjGx4DrwPjQ702C4/D5CwHuZTgZdIdwPkRbcuhs7BAh2L5rg3CL5cbRiGTCQ==
+
 "@types/http-errors@*":
   version "2.0.4"
   resolved "https://registry.yarnpkg.com/@types/http-errors/-/http-errors-2.0.4.tgz#7eb47726c391b7345a6ec35ad7f4de469cf5ba4f"
@@ -514,6 +635,11 @@
   dependencies:
     undici-types "~5.26.4"
 
+"@types/pdf-parse@^1.1.4":
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/@types/pdf-parse/-/pdf-parse-1.1.4.tgz#21a539efd2f16009d08aeed3350133948b5d7ed1"
+  integrity sha512-+gbBHbNCVGGYw1S9lAIIvrHW47UYOhMIFUsJcMkMrzy1Jf0vulBN3XQIjPgnoOXveMuHnF3b57fXROnY/Or7eg==
+
 "@types/qs@*":
   version "6.9.14"
   resolved "https://registry.yarnpkg.com/@types/qs/-/qs-6.9.14.tgz#169e142bfe493895287bee382af6039795e9b75b"
@@ -984,6 +1110,13 @@ debug@2.6.9:
   dependencies:
     ms "2.0.0"
 
+debug@^3.1.0:
+  version "3.2.7"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-3.2.7.tgz#72580b7e9145fb39b6676f9c5e5fb100b934179a"
+  integrity sha512-CFjzYYAi4ThfiQvizrFQevTTXHtnCqWfe7x1AhgEscTz6ZbLbfoLRLPugTQyBth6f8ZERVUSyWHFD/7Wu4t1XQ==
+  dependencies:
+    ms "^2.1.1"
+
 debug@^4:
   version "4.3.4"
   resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.4.tgz#1319f6579357f2338d3337d2cdd4914bb5dcc865"
@@ -1015,6 +1148,11 @@ deep-extend@^0.6.0:
   resolved "https://registry.yarnpkg.com/deep-extend/-/deep-extend-0.6.0.tgz#c4fa7c95404a17a9c3e8ca7e1537312b736330ac"
   integrity sha512-LOHxIOaPYdHlJRtCQfDIVZtfw/ufM8+rVj649RIHzcm/vGwQRXFt6OPqIFWsm2XEMrNIEtWR64sY1LEKD2vAOA==
 
+deepmerge@^4.3.1:
+  version "4.3.1"
+  resolved "https://registry.yarnpkg.com/deepmerge/-/deepmerge-4.3.1.tgz#44b5f2147cd3b00d4b56137685966f26fd25dd4a"
+  integrity sha512-3sUqbMEc77XqpdNO7FRyRog+eW3ph+GYCbj+rK+uYyRMuwsVy0rMiVtPn+QJlKFvWP/1PYpapqYn0Me2knFn+A==
+
 define-data-property@^1.1.4:
   version "1.1.4"
   resolved "https://registry.yarnpkg.com/define-data-property/-/define-data-property-1.1.4.tgz#894dc141bb7d3060ae4366f6a0107e68fbe48c5e"
@@ -1057,6 +1195,36 @@ digest-fetch@^1.3.0:
     base-64 "^0.1.0"
     md5 "^2.3.0"
 
+dom-serializer@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/dom-serializer/-/dom-serializer-2.0.0.tgz#e41b802e1eedf9f6cae183ce5e622d789d7d8e53"
+  integrity sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==
+  dependencies:
+    domelementtype "^2.3.0"
+    domhandler "^5.0.2"
+    entities "^4.2.0"
+
+domelementtype@^2.3.0:
+  version "2.3.0"
+  resolved "https://registry.yarnpkg.com/domelementtype/-/domelementtype-2.3.0.tgz#5c45e8e869952626331d7aab326d01daf65d589d"
+  integrity sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==
+
+domhandler@^5.0.2, domhandler@^5.0.3:
+  version "5.0.3"
+  resolved "https://registry.yarnpkg.com/domhandler/-/domhandler-5.0.3.tgz#cc385f7f751f1d1fc650c21374804254538c7d31"
+  integrity sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==
+  dependencies:
+    domelementtype "^2.3.0"
+
+domutils@^3.0.1:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/domutils/-/domutils-3.1.0.tgz#c47f551278d3dc4b0b1ab8cbb42d751a6f0d824e"
+  integrity sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==
+  dependencies:
+    dom-serializer "^2.0.0"
+    domelementtype "^2.3.0"
+    domhandler "^5.0.3"
+
 dotenv@^16.4.5:
   version "16.4.5"
   resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-16.4.5.tgz#cdd3b3b604cb327e286b4762e13502f717cb099f"
@@ -1098,6 +1266,11 @@ end-of-stream@^1.1.0, end-of-stream@^1.4.1:
   dependencies:
     once "^1.4.0"
 
+entities@^4.2.0, entities@^4.4.0:
+  version "4.5.0"
+  resolved "https://registry.yarnpkg.com/entities/-/entities-4.5.0.tgz#5d268ea5e7113ec74c4d033b79ea5a35a488fb48"
+  integrity sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==
+
 es-define-property@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/es-define-property/-/es-define-property-1.0.0.tgz#c7faefbdff8b2696cf5f46921edfb77cc4ba3845"
@@ -1246,6 +1419,13 @@ fast-fifo@^1.1.0, fast-fifo@^1.2.0:
   resolved "https://registry.yarnpkg.com/fast-fifo/-/fast-fifo-1.3.2.tgz#286e31de96eb96d38a97899815740ba2a4f3640c"
   integrity sha512-/d9sfos4yxzpwkDkuN7k2SqFKtYNmCTzgfEpz82x34IM9/zc8KGxQoXg1liNC/izpRM/MBdt44Nmx41ZWqk+FQ==
 
+fast-xml-parser@^4.3.5:
+  version "4.4.0"
+  resolved "https://registry.yarnpkg.com/fast-xml-parser/-/fast-xml-parser-4.4.0.tgz#341cc98de71e9ba9e651a67f41f1752d1441a501"
+  integrity sha512-kLY3jFlwIYwBNDojclKsNAC12sfD6NwW74QB2CoNGPvtVxjliYehVunB3HYyNi+n4Tt1dAcgwYvmKF/Z18flqg==
+  dependencies:
+    strnum "^1.0.5"
+
 fecha@^4.2.0:
   version "4.2.3"
   resolved "https://registry.yarnpkg.com/fecha/-/fecha-4.2.3.tgz#4d9ccdbc61e8629b259fdca67e65891448d569fd"
@@ -1414,6 +1594,27 @@ hasown@^2.0.0:
   dependencies:
     function-bind "^1.1.2"
 
+html-to-text@^9.0.5:
+  version "9.0.5"
+  resolved "https://registry.yarnpkg.com/html-to-text/-/html-to-text-9.0.5.tgz#6149a0f618ae7a0db8085dca9bbf96d32bb8368d"
+  integrity sha512-qY60FjREgVZL03vJU6IfMV4GDjGBIoOyvuFdpBDIX9yTlDw0TjxVBQp+P8NvpdIXNJvfWBTNul7fsAQJq2FNpg==
+  dependencies:
+    "@selderee/plugin-htmlparser2" "^0.11.0"
+    deepmerge "^4.3.1"
+    dom-serializer "^2.0.0"
+    htmlparser2 "^8.0.2"
+    selderee "^0.11.0"
+
+htmlparser2@^8.0.2:
+  version "8.0.2"
+  resolved "https://registry.yarnpkg.com/htmlparser2/-/htmlparser2-8.0.2.tgz#f002151705b383e62433b5cf466f5b716edaec21"
+  integrity sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==
+  dependencies:
+    domelementtype "^2.3.0"
+    domhandler "^5.0.3"
+    domutils "^3.0.1"
+    entities "^4.4.0"
+
 http-errors@2.0.0:
   version "2.0.0"
   resolved "https://registry.yarnpkg.com/http-errors/-/http-errors-2.0.0.tgz#b7774a1486ef73cf7667ac9ae0858c012c57b9d3"
@@ -1508,6 +1709,13 @@ is-stream@^2.0.0:
   resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-2.0.1.tgz#fac1e3d53b97ad5a9d0ae9cef2389f5810a5c077"
   integrity sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==
 
+js-tiktoken@^1.0.12:
+  version "1.0.12"
+  resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.12.tgz#af0f5cf58e5e7318240d050c8413234019424211"
+  integrity sha512-L7wURW1fH9Qaext0VzaUDpFGVQgjkdE3Dgsy9/+yXyGEpBKnylTd0mU0bfbNkKDlXRb6TEsZkwuflu1B8uQbJQ==
+  dependencies:
+    base64-js "^1.5.1"
+
 js-tiktoken@^1.0.7, js-tiktoken@^1.0.8:
   version "1.0.10"
   resolved "https://registry.yarnpkg.com/js-tiktoken/-/js-tiktoken-1.0.10.tgz#2b343ec169399dcee8f9ef9807dbd4fafd3b30dc"
@@ -1532,6 +1740,28 @@ kuler@^2.0.0:
   resolved "https://registry.yarnpkg.com/kuler/-/kuler-2.0.0.tgz#e2c570a3800388fb44407e851531c1d670b061b3"
   integrity sha512-Xq9nH7KlWZmXAtodXDDRE7vs6DU1gTU8zYDHDiWLSip45Egwq3plLHzPn27NgvzL2r1LMPC1vdqh98sQxtqj4A==
 
+langchain@0.2.3:
+  version "0.2.3"
+  resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.2.3.tgz#c14bb05cf871b21bd63b84b3ab89580b1d62539f"
+  integrity sha512-T9xR7zd+Nj0oXy6WoYKmZLy0DlQiDLFPGYWdOXDxy+AvqlujoPdVQgDSpdqiOHvAjezrByAoKxoHCz5XMwTP/Q==
+  dependencies:
+    "@langchain/core" "~0.2.0"
+    "@langchain/openai" "~0.0.28"
+    "@langchain/textsplitters" "~0.0.0"
+    binary-extensions "^2.2.0"
+    js-tiktoken "^1.0.12"
+    js-yaml "^4.1.0"
+    jsonpointer "^5.0.1"
+    langchainhub "~0.0.8"
+    langsmith "~0.1.7"
+    ml-distance "^4.0.0"
+    openapi-types "^12.1.3"
+    p-retry "4"
+    uuid "^9.0.0"
+    yaml "^2.2.1"
+    zod "^3.22.4"
+    zod-to-json-schema "^3.22.3"
+
 langchain@^0.1.30:
   version "0.1.30"
   resolved "https://registry.yarnpkg.com/langchain/-/langchain-0.1.30.tgz#e1adb3f1849fcd5c596c668300afd5dc8cb37a97"
@@ -1571,6 +1801,28 @@ langsmith@~0.1.1, langsmith@~0.1.7:
     p-retry "4"
     uuid "^9.0.0"
 
+langsmith@~0.1.30:
+  version "0.1.34"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.1.34.tgz#801310495fef258ed9c22bb5575120e2c06d51cf"
+  integrity sha512-aMv2k8kEaovhTuZnK6/6DMCoM7Jurvm1AzdESn+yN+HramRxp3sK32jFRz3ogkXP6GjAjOIofcnNkzhHXSUXGA==
+  dependencies:
+    "@types/uuid" "^9.0.1"
+    commander "^10.0.1"
+    lodash.set "^4.3.2"
+    p-queue "^6.6.2"
+    p-retry "4"
+    uuid "^9.0.0"
+
+leac@^0.6.0:
+  version "0.6.0"
+  resolved "https://registry.yarnpkg.com/leac/-/leac-0.6.0.tgz#dcf136e382e666bd2475f44a1096061b70dc0912"
+  integrity sha512-y+SqErxb8h7nE/fiEX07jsbuhrpO9lL8eca7/Y1nuWV2moNlXhyd59iDGcRf6moVyDMbmTNzL40SUyrFU/yDpg==
+
+lodash.set@^4.3.2:
+  version "4.3.2"
+  resolved "https://registry.yarnpkg.com/lodash.set/-/lodash.set-4.3.2.tgz#d8757b1da807dde24816b0d6a84bea1a76230b23"
+  integrity sha512-4hNPN5jlm/N/HLMCO43v8BXKq9Z7QdAGc/VGrRD61w8gN9g/6jF9A4L1pbUgBLCffi0w9VsXfTOij5x8iTyFvg==
+
 logform@^2.3.2, logform@^2.4.0:
   version "2.6.0"
   resolved "https://registry.yarnpkg.com/logform/-/logform-2.6.0.tgz#8c82a983f05d6eaeb2d75e3decae7a768b2bf9b5"
@@ -1714,6 +1966,11 @@ ms@2.1.3, ms@^2.0.0, ms@^2.1.1:
   resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.3.tgz#574c8138ce1d2b5861f0b44579dbadd60c6615b2"
   integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==
 
+mustache@^4.2.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/mustache/-/mustache-4.2.0.tgz#e5892324d60a12ec9c2a73359edca52972bf6f64"
+  integrity sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ==
+
 napi-build-utils@^1.0.1:
   version "1.0.2"
   resolved "https://registry.yarnpkg.com/napi-build-utils/-/napi-build-utils-1.0.2.tgz#b1fddc0b2c46e380a0b7a76f984dd47c41a13806"
@@ -1741,6 +1998,11 @@ node-domexception@1.0.0:
   resolved "https://registry.yarnpkg.com/node-domexception/-/node-domexception-1.0.0.tgz#6888db46a1f71c0b76b3f7555016b63fe64766e5"
   integrity sha512-/jKZoMpw0F8GRwl4/eLROPA3cfcXtLApP0QzLmUT/HuPCZWyB7IY9ZrMeKw2O/nFIqPQB3PVM9aYm0F312AXDQ==
 
+node-ensure@^0.0.0:
+  version "0.0.0"
+  resolved "https://registry.yarnpkg.com/node-ensure/-/node-ensure-0.0.0.tgz#ecae764150de99861ec5c810fd5d096b183932a7"
+  integrity sha512-DRI60hzo2oKN1ma0ckc6nQWlHU69RH6xN0sjQTjMpChPfTYvKZdcQFfdYK2RWbJcKyUizSIy/l8OTGxMAM1QDw==
+
 node-fetch@^2.6.7:
   version "2.7.0"
   resolved "https://registry.yarnpkg.com/node-fetch/-/node-fetch-2.7.0.tgz#d0f0fa6e3e2dc1d27efcd8ad99d550bda94d187d"
@@ -1858,6 +2120,20 @@ openai@^4.26.0:
     node-fetch "^2.6.7"
     web-streams-polyfill "^3.2.1"
 
+openai@^4.41.1, openai@^4.49.1:
+  version "4.52.2"
+  resolved "https://registry.yarnpkg.com/openai/-/openai-4.52.2.tgz#5d67271f3df84c0b54676b08990eaa9402151759"
+  integrity sha512-mMc0XgFuVSkcm0lRIi8zaw++otC82ZlfkCur1qguXYWPETr/+ZwL9A/vvp3YahX+shpaT6j03dwsmUyLAfmEfg==
+  dependencies:
+    "@types/node" "^18.11.18"
+    "@types/node-fetch" "^2.6.4"
+    abort-controller "^3.0.0"
+    agentkeepalive "^4.2.1"
+    form-data-encoder "1.7.2"
+    formdata-node "^4.3.2"
+    node-fetch "^2.6.7"
+    web-streams-polyfill "^3.2.1"
+
 openapi-types@^12.1.3:
   version "12.1.3"
   resolved "https://registry.yarnpkg.com/openapi-types/-/openapi-types-12.1.3.tgz#471995eb26c4b97b7bd356aacf7b91b73e777dd3"
@@ -1891,6 +2167,14 @@ p-timeout@^3.2.0:
   dependencies:
     p-finally "^1.0.0"
 
+parseley@^0.12.0:
+  version "0.12.1"
+  resolved "https://registry.yarnpkg.com/parseley/-/parseley-0.12.1.tgz#4afd561d50215ebe259e3e7a853e62f600683aef"
+  integrity sha512-e6qHKe3a9HWr0oMRVDTRhKce+bRO8VGQR3NyVwcjwrbhMmFCX9KszEV35+rn4AdilFAq9VPxP/Fe1wC9Qjd2lw==
+  dependencies:
+    leac "^0.6.0"
+    peberminta "^0.9.0"
+
 parseurl@~1.3.3:
   version "1.3.3"
   resolved "https://registry.yarnpkg.com/parseurl/-/parseurl-1.3.3.tgz#9da19e7bee8d12dff0513ed5b76957793bc2e8d4"
@@ -1901,6 +2185,19 @@ path-to-regexp@0.1.7:
   resolved "https://registry.yarnpkg.com/path-to-regexp/-/path-to-regexp-0.1.7.tgz#df604178005f522f15eb4490e7247a1bfaa67f8c"
   integrity sha512-5DFkuoqlv1uYQKxy8omFBeJPQcdoE07Kv2sferDCrAq1ohOU+MSDswDIbnx3YAM60qIOnYa53wBhXW0EbMonrQ==
 
+pdf-parse@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/pdf-parse/-/pdf-parse-1.1.1.tgz#745e07408679548b3995ff896fd38e96e19d14a7"
+  integrity sha512-v6ZJ/efsBpGrGGknjtq9J/oC8tZWq0KWL5vQrk2GlzLEQPUDB1ex+13Rmidl1neNN358Jn9EHZw5y07FFtaC7A==
+  dependencies:
+    debug "^3.1.0"
+    node-ensure "^0.0.0"
+
+peberminta@^0.9.0:
+  version "0.9.0"
+  resolved "https://registry.yarnpkg.com/peberminta/-/peberminta-0.9.0.tgz#8ec9bc0eb84b7d368126e71ce9033501dca2a352"
+  integrity sha512-XIxfHpEuSJbITd1H3EeQwpcZbTLHc+VVr8ANI9t5sit565tsI4/xK3KWTUFE2e6QiangUkh3B0jihzmGnNrRsQ==
+
 picomatch@^2.0.4, picomatch@^2.2.1:
   version "2.3.1"
   resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
@@ -2062,6 +2359,13 @@ safe-stable-stringify@^2.3.1:
   resolved "https://registry.yarnpkg.com/safer-buffer/-/safer-buffer-2.1.2.tgz#44fa161b0187b9549dd84bb91802f9bd8385cd6a"
   integrity sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==
 
+selderee@^0.11.0:
+  version "0.11.0"
+  resolved "https://registry.yarnpkg.com/selderee/-/selderee-0.11.0.tgz#6af0c7983e073ad3e35787ffe20cefd9daf0ec8a"
+  integrity sha512-5TF+l7p4+OsnP8BCCvSyZiSPc4x4//p5uPwK8TCnVPJYRmU2aYKMpOXvw8zM5a5JvuuCGN1jmsMwuU2W02ukfA==
+  dependencies:
+    parseley "^0.12.0"
+
 semver@^7.3.5, semver@^7.5.3, semver@^7.5.4:
   version "7.6.0"
   resolved "https://registry.yarnpkg.com/semver/-/semver-7.6.0.tgz#1a46a4db4bffcccd97b743b5005c8325f23d4e2d"
@@ -2212,6 +2516,11 @@ strip-json-comments@~2.0.1:
   resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
   integrity sha512-4gB8na07fecVVkOI6Rs4e7T6NOTki5EmL7TUduTs6bu3EdnSycntVJ4re8kgZA+wx9IueI2Y11bfbgwtzuE0KQ==
 
+strnum@^1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/strnum/-/strnum-1.0.5.tgz#5c4e829fe15ad4ff0d20c3db5ac97b73c9b072db"
+  integrity sha512-J8bbNyKKXl5qYcR36TIO8W3mVGVHrmmxsd5PAItGkmyzwJvybiw2IVq5nqd0i4LSNSkB/sx9VHllbfFdr9k1JA==
+
 supports-color@^5.5.0:
   version "5.5.0"
   resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-5.5.0.tgz#e2e69a44ac8772f78a1ec0b35b689df6530efc8f"
@@ -2358,6 +2667,11 @@ utils-merge@1.0.1:
   resolved "https://registry.yarnpkg.com/utils-merge/-/utils-merge-1.0.1.tgz#9f95710f50a267947b2ccc124741c1028427e713"
   integrity sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==
 
+uuid@^10.0.0:
+  version "10.0.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
+  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+
 uuid@^9.0.0:
   version "9.0.1"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.1.tgz#e188d4c8853cc722220392c424cd637f32293f30"
@@ -2462,6 +2776,11 @@ zod-to-json-schema@^3.22.3:
   resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.22.5.tgz#3646e81cfc318dbad2a22519e5ce661615418673"
   integrity sha512-+akaPo6a0zpVCCseDed504KBJUQpEW5QZw7RMneNmKw+fGaML1Z9tUNLnHHAC8x6dzVRO1eB2oEMyZRnuBZg7Q==
 
+zod-to-json-schema@^3.22.4, zod-to-json-schema@^3.22.5:
+  version "3.23.1"
+  resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.23.1.tgz#5225925b8ed5fa20096bd99be076c4b29b53d309"
+  integrity sha512-oT9INvydob1XV0v1d2IadrR74rLtDInLvDFfAa1CG0Pmg/vxATk7I2gSelfj271mbzeM4Da0uuDQE/Nkj3DWNw==
+
 zod@^3.22.3, zod@^3.22.4:
   version "3.22.4"
   resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff"