Merge 4dc5857b17 into 46541e6c0c

feat(SearchVideos): modify Lightbox to pause the prev video when sliding

CONTRIBUTING.md

@@ -8,6 +8,7 @@ Perplexica's design consists of two main domains:
 
 - **Frontend (`ui` directory)**: This is a Next.js application holding all user interface components. It's a self-contained environment that manages everything the user interacts with.
 - **Backend (root and `src` directory)**: The backend logic is situated in the `src` folder, but the root directory holds the main `package.json` for backend dependency management.
+  - All of the focus modes are created using the Meta Search Agent class present in `src/search/metaSearchAgent.ts`. The main logic behind Perplexica lies there.
 
 ## Setting Up Your Environment
 

README.md

@@ -1,5 +1,8 @@
 # 🚀 Perplexica - An AI-powered search engine 🔎 <!-- omit in toc -->
 
+[![Discord](https://dcbadge.vercel.app/api/server/26aArMy8tT?style=flat&compact=true)](https://discord.gg/26aArMy8tT)
+
+
 ![preview](.assets/perplexica-screenshot.png?)
 
 ## Table of Contents <!-- omit in toc -->

docs/API/SEARCH.md

@@ -79,24 +79,24 @@ The response from the API includes both the final message and the sources used t
 
 ```json
 {
-	"message": "Perplexica is an innovative, open-source AI-powered search engine designed to enhance the way users search for information online. Here are some key features and characteristics of Perplexica:\n\n- **AI-Powered Technology**: It utilizes advanced machine learning algorithms to not only retrieve information but also to understand the context and intent behind user queries, providing more relevant results [1][5].\n\n- **Open-Source**: Being open-source, Perplexica offers flexibility and transparency, allowing users to explore its functionalities without the constraints of proprietary software [3][10].",
-	"sources": [
-		{
-			"pageContent": "Perplexica is an innovative, open-source AI-powered search engine designed to enhance the way users search for information online.",
-			"metadata": {
-				"title": "What is Perplexica, and how does it function as an AI-powered search ...",
-				"url": "https://askai.glarity.app/search/What-is-Perplexica--and-how-does-it-function-as-an-AI-powered-search-engine"
-			}
-		},
-		{
-			"pageContent": "Perplexica is an open-source AI-powered search tool that dives deep into the internet to find precise answers.",
-			"metadata": {
-				"title": "Sahar Mor's Post",
-				"url": "https://www.linkedin.com/posts/sahar-mor_a-new-open-source-project-called-perplexica-activity-7204489745668694016-ncja"
-			}
-		}
+  "message": "Perplexica is an innovative, open-source AI-powered search engine designed to enhance the way users search for information online. Here are some key features and characteristics of Perplexica:\n\n- **AI-Powered Technology**: It utilizes advanced machine learning algorithms to not only retrieve information but also to understand the context and intent behind user queries, providing more relevant results [1][5].\n\n- **Open-Source**: Being open-source, Perplexica offers flexibility and transparency, allowing users to explore its functionalities without the constraints of proprietary software [3][10].",
+  "sources": [
+    {
+      "pageContent": "Perplexica is an innovative, open-source AI-powered search engine designed to enhance the way users search for information online.",
+      "metadata": {
+        "title": "What is Perplexica, and how does it function as an AI-powered search ...",
+        "url": "https://askai.glarity.app/search/What-is-Perplexica--and-how-does-it-function-as-an-AI-powered-search-engine"
+      }
+    },
+    {
+      "pageContent": "Perplexica is an open-source AI-powered search tool that dives deep into the internet to find precise answers.",
+      "metadata": {
+        "title": "Sahar Mor's Post",
+        "url": "https://www.linkedin.com/posts/sahar-mor_a-new-open-source-project-called-perplexica-activity-7204489745668694016-ncja"
+      }
+    }
         ....
-	]
+  ]
 }
 ```
 

docs/architecture/README.md

@@ -1,4 +1,4 @@
-## Perplexica's Architecture
+# Perplexica's Architecture
 
 Perplexica's architecture consists of the following key components:
 

docs/architecture/WORKING.md

@@ -1,4 +1,4 @@
-## How does Perplexica work?
+# How does Perplexica work?
 
 Curious about how Perplexica works? Don't worry, we'll cover it here. Before we begin, make sure you've read about the architecture of Perplexica to ensure you understand what it's made up of. Haven't read it? You can read it [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/architecture/README.md).
 
@@ -10,10 +10,10 @@ We'll understand how Perplexica works by taking an example of a scenario where a
 4. After the information is retrieved, it is based on keyword-based search. We then convert the information into embeddings and the query as well, then we perform a similarity search to find the most relevant sources to answer the query.
 5. After all this is done, the sources are passed to the response generator. This chain takes all the chat history, the query, and the sources. It generates a response that is streamed to the UI.
 
-### How are the answers cited?
+## How are the answers cited?
 
 The LLMs are prompted to do so. We've prompted them so well that they cite the answers themselves, and using some UI magic, we display it to the user.
 
-### Image and Video Search
+## Image and Video Search
 
 Image and video searches are conducted in a similar manner. A query is always generated first, then we search the web for images and videos that match the query. These results are then returned to the user.

docs/installation/NETWORKING.md

@@ -10,27 +10,27 @@ This guide will show you how to make Perplexica available over a network. Follow
 
 3. Stop and remove the existing Perplexica containers and images:
 
-```
-docker compose down --rmi all
-```
+   ```bash
+   docker compose down --rmi all
+   ```
 
 4. Open the `docker-compose.yaml` file in a text editor like Notepad++
 
 5. Replace `127.0.0.1` with the IP address of the server Perplexica is running on in these two lines:
 
-```
-args:
-  - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
-  - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
-```
+   ```bash
+   args:
+     - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
+     - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
+   ```
 
 6. Save and close the `docker-compose.yaml` file
 
 7. Rebuild and restart the Perplexica container:
 
-```
-docker compose up -d --build
-```
+   ```bash
+   docker compose up -d --build
+   ```
 
 ## macOS
 
@@ -38,37 +38,37 @@ docker compose up -d --build
 
 2. Navigate to the directory with the `docker-compose.yaml` file:
 
-```
-cd /path/to/docker-compose.yaml
-```
+   ```bash
+   cd /path/to/docker-compose.yaml
+   ```
 
 3. Stop and remove existing containers and images:
 
-```
-docker compose down --rmi all
-```
+   ```bash
+   docker compose down --rmi all
+   ```
 
 4. Open `docker-compose.yaml` in a text editor like Sublime Text:
 
-```
-nano docker-compose.yaml
-```
+   ```bash
+   nano docker-compose.yaml
+   ```
 
 5. Replace `127.0.0.1` with the server IP in these lines:
 
-```
-args:
-  - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
-  - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
-```
+   ```bash
+   args:
+     - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
+     - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
+   ```
 
 6. Save and exit the editor
 
 7. Rebuild and restart Perplexica:
 
-```
-docker compose up -d --build
-```
+   ```bash
+   docker compose up -d --build
+   ```
 
 ## Linux
 
@@ -76,34 +76,34 @@ docker compose up -d --build
 
 2. Navigate to the `docker-compose.yaml` directory:
 
-```
-cd /path/to/docker-compose.yaml
-```
+   ```bash
+   cd /path/to/docker-compose.yaml
+   ```
 
 3. Stop and remove containers and images:
 
-```
-docker compose down --rmi all
-```
+   ```bash
+   docker compose down --rmi all
+   ```
 
 4. Edit `docker-compose.yaml`:
 
-```
-nano docker-compose.yaml
-```
+   ```bash
+   nano docker-compose.yaml
+   ```
 
 5. Replace `127.0.0.1` with the server IP:
 
-```
-args:
-  - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
-  - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
-```
+   ```bash
+   args:
+     - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
+     - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
+   ```
 
 6. Save and exit the editor
 
 7. Rebuild and restart Perplexica:
 
-```
-docker compose up -d --build
-```
+   ```bash
+   docker compose up -d --build
+   ```

docs/installation/UPDATING.md

@@ -6,23 +6,23 @@ To update Perplexica to the latest version, follow these steps:
 
 1. Clone the latest version of Perplexica from GitHub:
 
-```bash
-   git clone https://github.com/ItzCrazyKns/Perplexica.git
-```
+   ```bash
+      git clone https://github.com/ItzCrazyKns/Perplexica.git
+   ```
 
 2. Navigate to the Project Directory.
 
 3. Pull latest images from registry.
 
-```bash
-docker compose pull
-```
+   ```bash
+   docker compose pull
+   ```
 
 4. Update and Recreate containers.
 
-```bash
-docker compose up -d
-```
+   ```bash
+   docker compose up -d
+   ```
 
 5. Once the command completes running go to http://localhost:3000 and verify the latest changes.
 
@@ -30,9 +30,9 @@ docker compose up -d
 
 1. Clone the latest version of Perplexica from GitHub:
 
-```bash
-   git clone https://github.com/ItzCrazyKns/Perplexica.git
-```
+   ```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.

src/lib/outputParsers/lineOutputParser.ts

@@ -19,6 +19,8 @@ class LineOutputParser extends BaseOutputParser<string> {
   lc_namespace = ['langchain', 'output_parsers', 'line_output_parser'];
 
   async parse(text: string): Promise<string> {
+    text = text.trim() || '';
+
     const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
     const startKeyIndex = text.indexOf(`<${this.key}>`);
     const endKeyIndex = text.indexOf(`</${this.key}>`);

src/lib/outputParsers/listLineOutputParser.ts

@@ -19,11 +19,13 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
   lc_namespace = ['langchain', 'output_parsers', 'line_list_output_parser'];
 
   async parse(text: string): Promise<string[]> {
+    text = text.trim() || '';
+
     const regex = /^(\s*(-|\*|\d+\.\s|\d+\)\s|\u2022)\s*)+/;
     const startKeyIndex = text.indexOf(`<${this.key}>`);
     const endKeyIndex = text.indexOf(`</${this.key}>`);
 
-    if (startKeyIndex === -1 && endKeyIndex === -1) {
+    if (startKeyIndex === -1 || endKeyIndex === -1) {
       return [];
     }
 

src/lib/providers/anthropic.ts

@@ -9,12 +9,20 @@ export const loadAnthropicChatModels = async () => {
 
   try {
     const chatModels = {
-      'claude-3-5-sonnet-20240620': {
+      'claude-3-5-sonnet-20241022': {
         displayName: 'Claude 3.5 Sonnet',
         model: new ChatAnthropic({
           temperature: 0.7,
           anthropicApiKey: anthropicApiKey,
-          model: 'claude-3-5-sonnet-20240620',
+          model: 'claude-3-5-sonnet-20241022',
+        }),
+      },
+      'claude-3-5-haiku-20241022': {
+        displayName: 'Claude 3.5 Haiku',
+        model: new ChatAnthropic({
+          temperature: 0.7,
+          anthropicApiKey: anthropicApiKey,
+          model: 'claude-3-5-haiku-20241022',
         }),
       },
       'claude-3-opus-20240229': {

src/lib/providers/groq.ts

@@ -9,6 +9,19 @@ export const loadGroqChatModels = async () => {
 
   try {
     const chatModels = {
+      'llama-3.3-70b-versatile': {
+        displayName: 'Llama 3.3 70B',
+        model: new ChatOpenAI(
+          {
+            openAIApiKey: groqApiKey,
+            modelName: 'llama-3.3-70b-versatile',
+            temperature: 0.7,
+          },
+          {
+            baseURL: 'https://api.groq.com/openai/v1',
+          },
+        ),
+      },
       'llama-3.2-3b-preview': {
         displayName: 'Llama 3.2 3B',
         model: new ChatOpenAI(
@@ -48,19 +61,6 @@ export const loadGroqChatModels = async () => {
           },
         ),
       },
-      'llama-3.1-70b-versatile': {
-        displayName: 'Llama 3.1 70B',
-        model: new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'llama-3.1-70b-versatile',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-      },
       'llama-3.1-8b-instant': {
         displayName: 'Llama 3.1 8B',
         model: new ChatOpenAI(
@@ -113,19 +113,6 @@ export const loadGroqChatModels = async () => {
           },
         ),
       },
-      'gemma-7b-it': {
-        displayName: 'Gemma 7B',
-        model: new ChatOpenAI(
-          {
-            openAIApiKey: groqApiKey,
-            modelName: 'gemma-7b-it',
-            temperature: 0.7,
-          },
-          {
-            baseURL: 'https://api.groq.com/openai/v1',
-          },
-        ),
-      },
       'gemma2-9b-it': {
         displayName: 'Gemma2 9B',
         model: new ChatOpenAI(

src/lib/providers/ollama.ts

@@ -2,6 +2,7 @@ import { OllamaEmbeddings } from '@langchain/community/embeddings/ollama';
 import { getKeepAlive, getOllamaApiEndpoint } from '../../config';
 import logger from '../../utils/logger';
 import { ChatOllama } from '@langchain/community/chat_models/ollama';
+import axios from 'axios';
 
 export const loadOllamaChatModels = async () => {
   const ollamaEndpoint = getOllamaApiEndpoint();
@@ -10,13 +11,13 @@ export const loadOllamaChatModels = async () => {
   if (!ollamaEndpoint) return {};
 
   try {
-    const response = await fetch(`${ollamaEndpoint}/api/tags`, {
+    const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
       headers: {
         'Content-Type': 'application/json',
       },
     });
 
-    const { models: ollamaModels } = (await response.json()) as any;
+    const { models: ollamaModels } = response.data;
 
     const chatModels = ollamaModels.reduce((acc, model) => {
       acc[model.model] = {
@@ -45,13 +46,13 @@ export const loadOllamaEmbeddingsModels = async () => {
   if (!ollamaEndpoint) return {};
 
   try {
-    const response = await fetch(`${ollamaEndpoint}/api/tags`, {
+    const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
       headers: {
         'Content-Type': 'application/json',
       },
     });
 
-    const { models: ollamaModels } = (await response.json()) as any;
+    const { models: ollamaModels } = response.data;
 
     const embeddingsModels = ollamaModels.reduce((acc, model) => {
       acc[model.model] = {

src/prompts/academicSearch.ts

@@ -20,23 +20,46 @@ Rephrased question:
 `;
 
 export const academicSearchResponsePrompt = `
-    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.
+   You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
 
-    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.
-    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.
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
 
-    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. 
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
+    - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
+    - You are set on focus mode 'Academic', this means you will be searching for academic papers and articles on the web.
+    
+    ### Example Output
+    - Begin with a brief introduction summarizing the event or query topic.
+    - Follow with detailed sections under clear headings, covering all aspects of the query if possible.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
 
     <context>
     {context}
     </context>
 
-    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?'.
-    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()}
+    Current date & time in ISO format (UTC timezone) is: {date}.
 `;

src/prompts/redditSearch.ts

@@ -20,23 +20,46 @@ Rephrased question:
 `;
 
 export const redditSearchResponsePrompt = `
-    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.
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
 
-    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.
-    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.
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
 
-    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.
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
+    - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
+    - You are set on focus mode 'Reddit', this means you will be searching for information, opinions and discussions on the web using Reddit.
+    
+    ### Example Output
+    - Begin with a brief introduction summarizing the event or query topic.
+    - Follow with detailed sections under clear headings, covering all aspects of the query if possible.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
 
     <context>
     {context}
     </context>
 
-    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?'.
-    Anything between the \`context\` is retrieved from Reddit and is not a part of the conversation with the user. Today's date is ${new Date().toISOString()}
+    Current date & time in ISO format (UTC timezone) is: {date}.
 `;

src/prompts/webSearch.ts

@@ -62,25 +62,45 @@ Rephrased question:
 `;
 
 export const webSearchResponsePrompt = `
-    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.
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
 
-    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.
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
 
-    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.
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
+    - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
+
+    ### Example Output
+    - Begin with a brief introduction summarizing the event or query topic.
+    - Follow with detailed sections under clear headings, covering all aspects of the query if possible.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
 
     <context>
     {context}
     </context>
 
-    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()}
+    Current date & time in ISO format (UTC timezone) is: {date}.
 `;

src/prompts/wolframAlpha.ts

@@ -20,23 +20,46 @@ Rephrased question:
 `;
 
 export const wolframAlphaSearchResponsePrompt = `
-    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.
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
 
-    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.
-    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.
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
 
-    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. 
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
+    - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
+    - You are set on focus mode 'Wolfram Alpha', this means you will be searching for information on the web using Wolfram Alpha. It is a computational knowledge engine that can answer factual queries and perform computations.
+    
+    ### Example Output
+    - Begin with a brief introduction summarizing the event or query topic.
+    - Follow with detailed sections under clear headings, covering all aspects of the query if possible.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
 
     <context>
     {context}
     </context>
 
-    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?'.
-    Anything between the \`context\` is retrieved from Wolfram Alpha and is not a part of the conversation with the user. Today's date is ${new Date().toISOString()}
+    Current date & time in ISO format (UTC timezone) is: {date}.
 `;

src/prompts/youtubeSearch.ts

@@ -20,23 +20,46 @@ Rephrased question:
 `;
 
 export const youtubeSearchResponsePrompt = `
-    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.
+    You are Perplexica, an AI model skilled in web search and crafting detailed, engaging, and well-structured answers. You excel at summarizing web pages and extracting relevant information to create professional, blog-style responses.
 
-    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.
-    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.
+    Your task is to provide answers that are:
+    - **Informative and relevant**: Thoroughly address the user's query using the given context.
+    - **Well-structured**: Include clear headings and subheadings, and use a professional tone to present information concisely and logically.
+    - **Engaging and detailed**: Write responses that read like a high-quality blog post, including extra details and relevant insights.
+    - **Cited and credible**: Use inline citations with [number] notation to refer to the context source(s) for each fact or detail included.
+    - **Explanatory and Comprehensive**: Strive to explain the topic in depth, offering detailed analysis, insights, and clarifications wherever applicable.
 
-    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.
+    ### Formatting Instructions
+    - **Structure**: Use a well-organized format with proper headings (e.g., "## Example heading 1" or "## Example heading 2"). Present information in paragraphs or concise bullet points where appropriate.
+    - **Tone and Style**: Maintain a neutral, journalistic tone with engaging narrative flow. Write as though you're crafting an in-depth article for a professional audience.
+    - **Markdown Usage**: Format your response with Markdown for clarity. Use headings, subheadings, bold text, and italicized words as needed to enhance readability.
+    - **Length and Depth**: Provide comprehensive coverage of the topic. Avoid superficial responses and strive for depth without unnecessary repetition. Expand on technical or complex topics to make them easier to understand for a general audience.
+    - **No main heading/title**: Start your response directly with the introduction unless asked to provide a specific title.
+    - **Conclusion or Summary**: Include a concluding paragraph that synthesizes the provided information or suggests potential next steps, where appropriate.
+
+    ### Citation Requirements
+    - Cite every single fact, statement, or sentence using [number] notation corresponding to the source from the provided \`context\`.
+    - Integrate citations naturally at the end of sentences or clauses as appropriate. For example, "The Eiffel Tower is one of the most visited landmarks in the world[1]."
+    - Ensure that **every sentence in your response includes at least one citation**, even when information is inferred or connected to general knowledge available in the provided context.
+    - Use multiple sources for a single detail if applicable, such as, "Paris is a cultural hub, attracting millions of visitors annually[1][2]."
+    - Always prioritize credibility and accuracy by linking all statements back to their respective context sources.
+    - Avoid citing unsupported assumptions or personal interpretations; if no source supports a statement, clearly indicate the limitation.
+
+    ### Special Instructions
+    - If the query involves technical, historical, or complex topics, provide detailed background and explanatory sections to ensure clarity.
+    - If the user provides vague input or if relevant information is missing, explain what additional details might help refine the search.
+    - If no relevant information is found, say: "Hmm, sorry I could not find any relevant information on this topic. Would you like me to search again or ask something else?" Be transparent about limitations and suggest alternatives or ways to reframe the query.
+    - You are set on focus mode 'Youtube', this means you will be searching for videos on the web using Youtube and providing information based on the video's transcrip
+    
+    ### Example Output
+    - Begin with a brief introduction summarizing the event or query topic.
+    - Follow with detailed sections under clear headings, covering all aspects of the query if possible.
+    - Provide explanations or historical context as needed to enhance understanding.
+    - End with a conclusion or overall perspective if relevant.
 
     <context>
     {context}
     </context>
 
-    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?'.
-    Anything between the \`context\` is retrieved from Youtube and is not a part of the conversation with the user. Today's date is ${new Date().toISOString()}
+    Current date & time in ISO format (UTC timezone) is: {date}.
 `;

src/routes/config.ts

@@ -54,7 +54,7 @@ router.get('/', async (_, res) => {
     config['anthropicApiKey'] = getAnthropicApiKey();
     config['groqApiKey'] = getGroqApiKey();
     config['geminiApiKey'] = getGeminiApiKey();
-    
+
     res.status(200).json(config);
   } catch (err: any) {
     res.status(500).json({ message: 'An error has occurred.' });

src/search/metaSearchAgent.ts

@@ -211,7 +211,11 @@ class MetaSearchAgent implements MetaSearchAgentType {
           const documents = res.results.map(
             (result) =>
               new Document({
-                pageContent: result.content,
+                pageContent:
+                  result.content ||
+                  (this.config.activeEngines.includes('youtube')
+                    ? result.title
+                    : '') /* Todo: Implement transcript grabbing using Youtubei (source: https://www.npmjs.com/package/youtubei) */,
                 metadata: {
                   title: result.title,
                   url: result.url,
@@ -236,6 +240,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
       RunnableMap.from({
         query: (input: BasicChainInput) => input.query,
         chat_history: (input: BasicChainInput) => input.chat_history,
+        date: () => new Date().toISOString(),
         context: RunnableLambda.from(async (input: BasicChainInput) => {
           const processedHistory = formatChatHistoryAsString(
             input.chat_history,
@@ -413,7 +418,10 @@ class MetaSearchAgent implements MetaSearchAgentType {
 
   private processDocs(docs: Document[]) {
     return docs
-      .map((_, index) => `${index + 1}. ${docs[index].pageContent}`)
+      .map(
+        (_, index) =>
+          `${index + 1}. ${docs[index].metadata.title} ${docs[index].pageContent}`,
+      )
       .join('\n');
   }
 

src/websocket/messageHandler.ts

@@ -5,7 +5,7 @@ import type { Embeddings } from '@langchain/core/embeddings';
 import logger from '../utils/logger';
 import db from '../db';
 import { chats, messages as messagesSchema } from '../db/schema';
-import { eq, asc, gt } from 'drizzle-orm';
+import { eq, asc, gt, and } from 'drizzle-orm';
 import crypto from 'crypto';
 import { getFileDetails } from '../utils/files';
 import MetaSearchAgent, {
@@ -238,7 +238,12 @@ export const handleMessage = async (
           } else {
             await db
               .delete(messagesSchema)
-              .where(gt(messagesSchema.id, messageExists.id))
+              .where(
+                and(
+                  gt(messagesSchema.id, messageExists.id),
+                  eq(messagesSchema.chatId, parsedMessage.chatId),
+                ),
+              )
               .execute();
           }
         } catch (err) {

ui/app/library/page.tsx

@@ -1,10 +1,10 @@
 'use client';
 
 import DeleteChat from '@/components/DeleteChat';
-import { cn, formatTimeDifference } from '@/lib/utils';
-import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
+import {cn, formatTimeDifference} from '@/lib/utils';
+import {BookOpenText, ClockIcon, Delete, ScanEye} from 'lucide-react';
 import Link from 'next/link';
-import { useEffect, useState } from 'react';
+import {useEffect, useState} from 'react';
 
 export interface Chat {
   id: string;
@@ -20,8 +20,8 @@ const Page = () => {
   useEffect(() => {
     const fetchChats = async () => {
       setLoading(true);
-
-      const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/chats`, {
+      let userId = localStorage.getItem("userId");
+      const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/chats?userId=` + userId, {
         method: 'GET',
         headers: {
           'Content-Type': 'application/json',
@@ -60,19 +60,19 @@ const Page = () => {
     <div>
       <div className="flex flex-col pt-4">
         <div className="flex items-center">
-          <BookOpenText />
+          <BookOpenText/>
           <h1 className="text-3xl font-medium p-2">Library</h1>
         </div>
-        <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+        <hr className="border-t border-[#2B2C2C] my-4 w-full"/>
       </div>
-      {chats.length === 0 && (
+      {chats && chats.length === 0 && (
         <div className="flex flex-row items-center justify-center min-h-screen">
           <p className="text-black/70 dark:text-white/70 text-sm">
             No chats found.
           </p>
         </div>
       )}
-      {chats.length > 0 && (
+      {chats && chats.length > 0 && (
         <div className="flex flex-col pb-20 lg:pb-2">
           {chats.map((chat, i) => (
             <div
@@ -92,7 +92,7 @@ const Page = () => {
               </Link>
               <div className="flex flex-row items-center justify-between w-full">
                 <div className="flex flex-row items-center space-x-1 lg:space-x-1.5 text-black/70 dark:text-white/70">
-                  <ClockIcon size={15} />
+                  <ClockIcon size={15}/>
                   <p className="text-xs">
                     {formatTimeDifference(new Date(), chat.createdAt)} Ago
                   </p>

ui/app/page.tsx

@@ -3,8 +3,8 @@ import { Metadata } from 'next';
 import { Suspense } from 'react';
 
 export const metadata: Metadata = {
-  title: 'Chat - Perplexica',
-  description: 'Chat with the internet, chat with Perplexica.',
+  title: 'MyCounsellor Ai Serach Eengine - Searching Thking with Gemini',
+  description: 'Chat with the internet, chat with MyCounsellor.',
 };
 
 const Home = () => {

ui/assets/DeepSeekIcon.tsx

@@ -0,0 +1,20 @@
+import React from 'react';
+
+const DeepSeekIcon = (props: React.JSX.IntrinsicAttributes & React.SVGProps<SVGSVGElement>) => (
+  <svg
+    viewBox="0 0 30 30"
+    fill="none"
+    xmlns="http://www.w3.org/2000/svg"
+    xmlnsXlink="http://www.w3.org/1999/xlink"
+    {...props}
+  >
+    <path
+      id="path"
+      d="M27.501 8.46875C27.249 8.3457 27.1406 8.58008 26.9932 8.69922C26.9434 8.73828 26.9004 8.78906 26.8584 8.83398C26.4902 9.22852 26.0605 9.48633 25.5 9.45508C24.6787 9.41016 23.9785 9.66797 23.3594 10.2969C23.2275 9.52148 22.79 9.05859 22.125 8.76172C21.7764 8.60742 21.4238 8.45312 21.1807 8.11719C21.0098 7.87891 20.9639 7.61328 20.8779 7.35156C20.8242 7.19336 20.7695 7.03125 20.5879 7.00391C20.3906 6.97266 20.3135 7.13867 20.2363 7.27734C19.9258 7.84375 19.8066 8.46875 19.8174 9.10156C19.8447 10.5234 20.4453 11.6562 21.6367 12.4629C21.7725 12.5547 21.8076 12.6484 21.7646 12.7832C21.6836 13.0605 21.5869 13.3301 21.501 13.6074C21.4473 13.7852 21.3662 13.8242 21.1768 13.7461C20.5225 13.4727 19.957 13.0684 19.458 12.5781C18.6104 11.7578 17.8438 10.8516 16.8877 10.1426C16.6631 9.97656 16.4395 9.82227 16.207 9.67578C15.2314 8.72656 16.335 7.94727 16.5898 7.85547C16.8574 7.75977 16.6826 7.42773 15.8193 7.43164C14.957 7.43555 14.167 7.72461 13.1611 8.10938C13.0137 8.16797 12.8594 8.21094 12.7002 8.24414C11.7871 8.07227 10.8389 8.0332 9.84766 8.14453C7.98242 8.35352 6.49219 9.23633 5.39648 10.7441C4.08105 12.5547 3.77148 14.6133 4.15039 16.7617C4.54883 19.0234 5.70215 20.8984 7.47559 22.3633C9.31348 23.8809 11.4307 24.625 13.8457 24.4824C15.3125 24.3984 16.9463 24.2012 18.7881 22.6406C19.2529 22.8711 19.7402 22.9629 20.5498 23.0332C21.1729 23.0918 21.7725 23.002 22.2373 22.9062C22.9648 22.752 22.9141 22.0781 22.6514 21.9531C20.5186 20.959 20.9863 21.3633 20.5605 21.0371C21.6445 19.752 23.2783 18.418 23.917 14.0977C23.9668 13.7539 23.9238 13.5391 23.917 13.2598C23.9131 13.0918 23.9512 13.0254 24.1445 13.0059C24.6787 12.9453 25.1973 12.7988 25.6738 12.5352C27.0557 11.7793 27.6123 10.5391 27.7441 9.05078C27.7637 8.82422 27.7402 8.58789 27.501 8.46875ZM15.46 21.8613C13.3926 20.2344 12.3906 19.6992 11.9766 19.7227C11.5898 19.7441 11.6592 20.1875 11.7441 20.4766C11.833 20.7617 11.9492 20.959 12.1123 21.209C12.2246 21.375 12.3018 21.623 12 21.8066C11.334 22.2207 10.1768 21.668 10.1221 21.6406C8.77539 20.8477 7.64941 19.7988 6.85547 18.3652C6.08984 16.9844 5.64453 15.5039 5.57129 13.9238C5.55176 13.541 5.66406 13.4062 6.04297 13.3379C6.54199 13.2461 7.05762 13.2266 7.55664 13.2988C9.66602 13.6074 11.4619 14.5527 12.9668 16.0469C13.8262 16.9004 14.4766 17.918 15.1465 18.9121C15.8584 19.9688 16.625 20.9746 17.6006 21.7988C17.9443 22.0879 18.2197 22.3086 18.4824 22.4707C17.6895 22.5586 16.3652 22.5781 15.46 21.8613ZM16.4502 15.4805C16.4502 15.3105 16.5859 15.1758 16.7568 15.1758C16.7949 15.1758 16.8301 15.1836 16.8613 15.1953C16.9033 15.2109 16.9424 15.2344 16.9727 15.2695C17.0273 15.3223 17.0586 15.4004 17.0586 15.4805C17.0586 15.6504 16.9229 15.7852 16.7529 15.7852C16.582 15.7852 16.4502 15.6504 16.4502 15.4805ZM19.5273 17.0625C19.3301 17.1426 19.1328 17.2129 18.9434 17.2207C18.6494 17.2344 18.3281 17.1152 18.1533 16.9688C17.8828 16.7422 17.6895 16.6152 17.6074 16.2168C17.5732 16.0469 17.5928 15.7852 17.623 15.6348C17.6934 15.3105 17.6152 15.1035 17.3877 14.9141C17.2012 14.7598 16.9658 14.7188 16.7061 14.7188C16.6094 14.7188 16.5205 14.6758 16.4541 14.6406C16.3457 14.5859 16.2568 14.4512 16.3418 14.2852C16.3691 14.2324 16.501 14.1016 16.5322 14.0781C16.8838 13.877 17.29 13.9434 17.666 14.0938C18.0146 14.2363 18.2773 14.498 18.6562 14.8672C19.0439 15.3145 19.1133 15.4395 19.334 15.7734C19.5078 16.0371 19.667 16.3066 19.7754 16.6152C19.8408 16.8066 19.7559 16.9648 19.5273 17.0625Z"
+      fillRule="nonzero"
+      fill="#4D6BFE"
+    />
+  </svg>
+);
+
+export default DeepSeekIcon;

ui/assets/deepseek.svg

@@ -0,0 +1 @@
+<svg viewBox="0 0 30 30" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><path id="path" d="M27.501 8.46875C27.249 8.3457 27.1406 8.58008 26.9932 8.69922C26.9434 8.73828 26.9004 8.78906 26.8584 8.83398C26.4902 9.22852 26.0605 9.48633 25.5 9.45508C24.6787 9.41016 23.9785 9.66797 23.3594 10.2969C23.2275 9.52148 22.79 9.05859 22.125 8.76172C21.7764 8.60742 21.4238 8.45312 21.1807 8.11719C21.0098 7.87891 20.9639 7.61328 20.8779 7.35156C20.8242 7.19336 20.7695 7.03125 20.5879 7.00391C20.3906 6.97266 20.3135 7.13867 20.2363 7.27734C19.9258 7.84375 19.8066 8.46875 19.8174 9.10156C19.8447 10.5234 20.4453 11.6562 21.6367 12.4629C21.7725 12.5547 21.8076 12.6484 21.7646 12.7832C21.6836 13.0605 21.5869 13.3301 21.501 13.6074C21.4473 13.7852 21.3662 13.8242 21.1768 13.7461C20.5225 13.4727 19.957 13.0684 19.458 12.5781C18.6104 11.7578 17.8438 10.8516 16.8877 10.1426C16.6631 9.97656 16.4395 9.82227 16.207 9.67578C15.2314 8.72656 16.335 7.94727 16.5898 7.85547C16.8574 7.75977 16.6826 7.42773 15.8193 7.43164C14.957 7.43555 14.167 7.72461 13.1611 8.10938C13.0137 8.16797 12.8594 8.21094 12.7002 8.24414C11.7871 8.07227 10.8389 8.0332 9.84766 8.14453C7.98242 8.35352 6.49219 9.23633 5.39648 10.7441C4.08105 12.5547 3.77148 14.6133 4.15039 16.7617C4.54883 19.0234 5.70215 20.8984 7.47559 22.3633C9.31348 23.8809 11.4307 24.625 13.8457 24.4824C15.3125 24.3984 16.9463 24.2012 18.7881 22.6406C19.2529 22.8711 19.7402 22.9629 20.5498 23.0332C21.1729 23.0918 21.7725 23.002 22.2373 22.9062C22.9648 22.752 22.9141 22.0781 22.6514 21.9531C20.5186 20.959 20.9863 21.3633 20.5605 21.0371C21.6445 19.752 23.2783 18.418 23.917 14.0977C23.9668 13.7539 23.9238 13.5391 23.917 13.2598C23.9131 13.0918 23.9512 13.0254 24.1445 13.0059C24.6787 12.9453 25.1973 12.7988 25.6738 12.5352C27.0557 11.7793 27.6123 10.5391 27.7441 9.05078C27.7637 8.82422 27.7402 8.58789 27.501 8.46875ZM15.46 21.8613C13.3926 20.2344 12.3906 19.6992 11.9766 19.7227C11.5898 19.7441 11.6592 20.1875 11.7441 20.4766C11.833 20.7617 11.9492 20.959 12.1123 21.209C12.2246 21.375 12.3018 21.623 12 21.8066C11.334 22.2207 10.1768 21.668 10.1221 21.6406C8.77539 20.8477 7.64941 19.7988 6.85547 18.3652C6.08984 16.9844 5.64453 15.5039 5.57129 13.9238C5.55176 13.541 5.66406 13.4062 6.04297 13.3379C6.54199 13.2461 7.05762 13.2266 7.55664 13.2988C9.66602 13.6074 11.4619 14.5527 12.9668 16.0469C13.8262 16.9004 14.4766 17.918 15.1465 18.9121C15.8584 19.9688 16.625 20.9746 17.6006 21.7988C17.9443 22.0879 18.2197 22.3086 18.4824 22.4707C17.6895 22.5586 16.3652 22.5781 15.46 21.8613ZM16.4502 15.4805C16.4502 15.3105 16.5859 15.1758 16.7568 15.1758C16.7949 15.1758 16.8301 15.1836 16.8613 15.1953C16.9033 15.2109 16.9424 15.2344 16.9727 15.2695C17.0273 15.3223 17.0586 15.4004 17.0586 15.4805C17.0586 15.6504 16.9229 15.7852 16.7529 15.7852C16.582 15.7852 16.4502 15.6504 16.4502 15.4805ZM19.5273 17.0625C19.3301 17.1426 19.1328 17.2129 18.9434 17.2207C18.6494 17.2344 18.3281 17.1152 18.1533 16.9688C17.8828 16.7422 17.6895 16.6152 17.6074 16.2168C17.5732 16.0469 17.5928 15.7852 17.623 15.6348C17.6934 15.3105 17.6152 15.1035 17.3877 14.9141C17.2012 14.7598 16.9658 14.7188 16.7061 14.7188C16.6094 14.7188 16.5205 14.6758 16.4541 14.6406C16.3457 14.5859 16.2568 14.4512 16.3418 14.2852C16.3691 14.2324 16.501 14.1016 16.5322 14.0781C16.8838 13.877 17.29 13.9434 17.666 14.0938C18.0146 14.2363 18.2773 14.498 18.6562 14.8672C19.0439 15.3145 19.1133 15.4395 19.334 15.7734C19.5078 16.0371 19.667 16.3066 19.7754 16.6152C19.8408 16.8066 19.7559 16.9648 19.5273 17.0625Z" fill-rule="nonzero" fill="#4D6BFE"></path></svg>

ui/components/Chat.tsx

@@ -16,6 +16,8 @@ const Chat = ({
   setFileIds,
   files,
   setFiles,
+  copilotEnabled,
+  setCopilotEnabled,
 }: {
   messages: Message[];
   sendMessage: (message: string) => void;
@@ -26,6 +28,8 @@ const Chat = ({
   setFileIds: (fileIds: string[]) => void;
   files: File[];
   setFiles: (files: File[]) => void;
+  copilotEnabled:boolean
+  setCopilotEnabled:(mode: boolean) => void;
 }) => {
   const [dividerWidth, setDividerWidth] = useState(0);
   const dividerRef = useRef<HTMLDivElement | null>(null);
@@ -93,6 +97,8 @@ const Chat = ({
             setFileIds={setFileIds}
             files={files}
             setFiles={setFiles}
+            copilotEnabled={copilotEnabled}
+            setCopilotEnabled={setCopilotEnabled}
           />
         </div>
       )}

ui/components/ChatWindow.tsx

@@ -1,15 +1,17 @@
 'use client';
 
-import { useEffect, useRef, useState } from 'react';
-import { Document } from '@langchain/core/documents';
+import {useEffect, useRef, useState} from 'react';
+import {Document} from '@langchain/core/documents';
 import Navbar from './Navbar';
 import Chat from './Chat';
 import EmptyChat from './EmptyChat';
-import crypto from 'crypto';
-import { toast } from 'sonner';
-import { useSearchParams } from 'next/navigation';
-import { getSuggestions } from '@/lib/actions';
-import Error from 'next/error';
+import {toast} from 'sonner';
+import {useSearchParams} from 'next/navigation';
+import {getSuggestions} from '@/lib/actions';
+import {Settings} from 'lucide-react';
+import SettingsDialog from './SettingsDialog';
+import NextError from 'next/error';
+import {Mcid} from "@/lib/mcid";
 
 export type Message = {
   messageId: string;
@@ -32,17 +34,38 @@ const useSocket = (
   setIsWSReady: (ready: boolean) => void,
   setError: (error: boolean) => void,
 ) => {
-  const [ws, setWs] = useState<WebSocket | null>(null);
+  const wsRef = useRef<WebSocket | null>(null);
+  const reconnectTimeoutRef = useRef<NodeJS.Timeout>();
+  const retryCountRef = useRef(0);
+  const isCleaningUpRef = useRef(false);
+  const MAX_RETRIES = 3;
+  const INITIAL_BACKOFF = 1000; // 1 second
+
+  const getBackoffDelay = (retryCount: number) => {
+    return Math.min(INITIAL_BACKOFF * Math.pow(2, retryCount), 10000); // Cap at 10 seconds
+  };
 
   useEffect(() => {
-    if (!ws) {
-      const connectWs = async () => {
+    const connectWs = async () => {
+      if (wsRef.current?.readyState === WebSocket.OPEN) {
+        wsRef.current.close();
+      }
+
+      try {
         let chatModel = localStorage.getItem('chatModel');
         let chatModelProvider = localStorage.getItem('chatModelProvider');
         let embeddingModel = localStorage.getItem('embeddingModel');
         let embeddingModelProvider = localStorage.getItem(
           'embeddingModelProvider',
         );
+        let openAIBaseURL =
+          chatModelProvider === 'custom_openai'
+            ? localStorage.getItem('openAIBaseURL')
+            : null;
+        let openAIPIKey =
+          chatModelProvider === 'custom_openai'
+            ? localStorage.getItem('openAIApiKey')
+            : null;
 
         const providers = await fetch(
           `${process.env.NEXT_PUBLIC_API_URL}/models`,
@@ -51,7 +74,13 @@ const useSocket = (
               'Content-Type': 'application/json',
             },
           },
-        ).then(async (res) => await res.json());
+        ).then(async (res) => {
+          if (!res.ok)
+            throw new Error(
+              `Failed to fetch models: ${res.status} ${res.statusText}`,
+            );
+          return res.json();
+        });
 
         if (
           !chatModel ||
@@ -62,16 +91,18 @@ const useSocket = (
           if (!chatModel || !chatModelProvider) {
             const chatModelProviders = providers.chatModelProviders;
 
-            chatModelProvider = Object.keys(chatModelProviders)[0];
+            chatModelProvider =
+              chatModelProvider || Object.keys(chatModelProviders)[0];
 
             if (chatModelProvider === 'custom_openai') {
               toast.error(
-                'Seems like you are using the custom OpenAI provider, please open the settings and configure the API key and base URL',
+                'Seems like you are using the custom OpenAI provider, please open the settings and enter a model name to use.',
               );
               setError(true);
               return;
             } else {
               chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+
               if (
                 !chatModelProviders ||
                 Object.keys(chatModelProviders).length === 0
@@ -108,18 +139,42 @@ const useSocket = (
 
           if (
             Object.keys(chatModelProviders).length > 0 &&
-            !chatModelProviders[chatModelProvider]
+            (((!openAIBaseURL || !openAIPIKey) &&
+                chatModelProvider === 'custom_openai') ||
+              !chatModelProviders[chatModelProvider])
           ) {
-            chatModelProvider = Object.keys(chatModelProviders)[0];
+            const chatModelProvidersKeys = Object.keys(chatModelProviders);
+            chatModelProvider =
+              chatModelProvidersKeys.find(
+                (key) => Object.keys(chatModelProviders[key]).length > 0,
+              ) || chatModelProvidersKeys[0];
+
+            if (
+              chatModelProvider === 'custom_openai' &&
+              (!openAIBaseURL || !openAIPIKey)
+            ) {
+              toast.error(
+                'Seems like you are using the custom OpenAI provider, please open the settings and configure the API key and base URL',
+              );
+              setError(true);
+              return;
+            }
+
             localStorage.setItem('chatModelProvider', chatModelProvider);
           }
 
           if (
             chatModelProvider &&
-            chatModelProvider != 'custom_openai' &&
+            (!openAIBaseURL || !openAIPIKey) &&
             !chatModelProviders[chatModelProvider][chatModel]
           ) {
-            chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+            chatModel = Object.keys(
+              chatModelProviders[
+                Object.keys(chatModelProviders[chatModelProvider]).length > 0
+                  ? chatModelProvider
+                  : Object.keys(chatModelProviders)[0]
+                ],
+            )[0];
             localStorage.setItem('chatModel', chatModel);
           }
 
@@ -168,6 +223,7 @@ const useSocket = (
         wsURL.search = searchParams.toString();
 
         const ws = new WebSocket(wsURL.toString());
+        wsRef.current = ws;
 
         const timeoutId = setTimeout(() => {
           if (ws.readyState !== 1) {
@@ -183,11 +239,16 @@ const useSocket = (
             const interval = setInterval(() => {
               if (ws.readyState === 1) {
                 setIsWSReady(true);
+                setError(false);
+                if (retryCountRef.current > 0) {
+                  toast.success('Connection restored.');
+                }
+                retryCountRef.current = 0;
                 clearInterval(interval);
               }
             }, 5);
             clearTimeout(timeoutId);
-            console.log('[DEBUG] opened');
+            console.debug(new Date(), 'ws:connected');
           }
           if (data.type === 'error') {
             toast.error(data.data);
@@ -196,24 +257,68 @@ const useSocket = (
 
         ws.onerror = () => {
           clearTimeout(timeoutId);
-          setError(true);
+          setIsWSReady(false);
           toast.error('WebSocket connection error.');
         };
 
         ws.onclose = () => {
           clearTimeout(timeoutId);
-          setError(true);
-          console.log('[DEBUG] closed');
+          setIsWSReady(false);
+          console.debug(new Date(), 'ws:disconnected');
+          if (!isCleaningUpRef.current) {
+            toast.error('Connection lost. Attempting to reconnect...');
+            attemptReconnect();
+          }
         };
+      } catch (error) {
+        console.debug(new Date(), 'ws:error', error);
+        setIsWSReady(false);
+        attemptReconnect();
+      }
+    };
 
-        setWs(ws);
-      };
+    const attemptReconnect = () => {
+      retryCountRef.current += 1;
 
-      connectWs();
-    }
-  }, [ws, url, setIsWSReady, setError]);
+      if (retryCountRef.current > MAX_RETRIES) {
+        console.debug(new Date(), 'ws:max_retries');
+        setError(true);
+        toast.error(
+          'Unable to connect to server after multiple attempts. Please refresh the page to try again.',
+        );
+        return;
+      }
 
-  return ws;
+      const backoffDelay = getBackoffDelay(retryCountRef.current);
+      console.debug(
+        new Date(),
+        `ws:retry attempt=${retryCountRef.current}/${MAX_RETRIES} delay=${backoffDelay}ms`,
+      );
+
+      if (reconnectTimeoutRef.current) {
+        clearTimeout(reconnectTimeoutRef.current);
+      }
+
+      reconnectTimeoutRef.current = setTimeout(() => {
+        connectWs();
+      }, backoffDelay);
+    };
+
+    connectWs();
+
+    return () => {
+      if (reconnectTimeoutRef.current) {
+        clearTimeout(reconnectTimeoutRef.current);
+      }
+      if (wsRef.current?.readyState === WebSocket.OPEN) {
+        wsRef.current.close();
+        isCleaningUpRef.current = true;
+        console.debug(new Date(), 'ws:cleanup');
+      }
+    };
+  }, [url, setIsWSReady, setError]);
+
+  return wsRef.current;
 };
 
 const loadMessages = async (
@@ -257,11 +362,11 @@ const loadMessages = async (
     return [msg.role, msg.content];
   }) as [string, string][];
 
-  console.log('[DEBUG] messages loaded');
+  console.debug(new Date(), 'app:messages_loaded');
 
   document.title = messages[0].content;
 
-  const files = data.chat.files.map((file: any) => {
+  const files = data.chat.files && data.chat.files.map((file: any) => {
     return {
       fileName: file.name,
       fileExtension: file.name.split('.').pop(),
@@ -270,17 +375,17 @@ const loadMessages = async (
   });
 
   setFiles(files);
-  setFileIds(files.map((file: File) => file.fileId));
+  setFileIds(files && files.map((file: File) => file.fileId));
 
   setChatHistory(history);
   setFocusMode(data.chat.focusMode);
   setIsMessagesLoaded(true);
 };
 
-const ChatWindow = ({ id }: { id?: string }) => {
+const ChatWindow = ({id}: { id?: string }) => {
   const searchParams = useSearchParams();
   const initialMessage = searchParams.get('q');
-
+  const [userId, setUserId] = useState<string | undefined>();
   const [chatId, setChatId] = useState<string | undefined>(id);
   const [newChatCreated, setNewChatCreated] = useState(false);
 
@@ -305,11 +410,41 @@ const ChatWindow = ({ id }: { id?: string }) => {
 
   const [focusMode, setFocusMode] = useState('webSearch');
   const [optimizationMode, setOptimizationMode] = useState('speed');
+  const [copilotEnabled, setCopilotEnabled] = useState(true);
 
   const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
 
   const [notFound, setNotFound] = useState(false);
 
+  const [isSettingsOpen, setIsSettingsOpen] = useState(false);
+
+  useEffect(() => {
+    const initializeUserId = () => {
+      try {
+        // 从 localStorage 读取现有用户 ID
+        const storedUserId = localStorage.getItem('userId');
+
+        if (storedUserId) {
+          setUserId(storedUserId);
+          console.debug('Using existing user ID:', storedUserId);
+        } else {
+          const newUserId = new Mcid().generate().toString();
+
+          localStorage.setItem('userId', newUserId);
+          setUserId(newUserId);
+          console.debug('Generated new user ID:', newUserId);
+        }
+      } catch (error) {
+        console.error('Error initializing user ID:', error);
+        const fallbackId = "1234567890";
+        localStorage.setItem('userId', fallbackId);
+        setUserId(fallbackId);
+      }
+    };
+
+    initializeUserId();
+  }, []);
+
   useEffect(() => {
     if (
       chatId &&
@@ -330,7 +465,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
     } else if (!chatId) {
       setNewChatCreated(true);
       setIsMessagesLoaded(true);
-      setChatId(crypto.randomBytes(20).toString('hex'));
+      setChatId(new Mcid().generate().toString());
     }
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, []);
@@ -339,12 +474,24 @@ const ChatWindow = ({ id }: { id?: string }) => {
     return () => {
       if (ws?.readyState === 1) {
         ws.close();
-        console.log('[DEBUG] closed');
+        console.debug(new Date(), 'ws:cleanup');
       }
     };
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, []);
 
+  useEffect(() => {
+    const savedFocusMode = localStorage.getItem('focusMode');
+    if (savedFocusMode) {
+      setFocusMode(savedFocusMode);
+    }
+  }, [setFocusMode]);
+
+  const handleFocusModeChange = (mode: string) => {
+    localStorage.setItem('focusMode', mode);
+    setFocusMode(mode);
+  };
+
   const messagesRef = useRef<Message[]>([]);
 
   useEffect(() => {
@@ -354,12 +501,18 @@ const ChatWindow = ({ id }: { id?: string }) => {
   useEffect(() => {
     if (isMessagesLoaded && isWSReady) {
       setIsReady(true);
-      console.log('[DEBUG] ready');
+      console.debug(new Date(), 'app:ready');
+    } else {
+      setIsReady(false);
     }
-  }, [isMessagesLoaded, isWSReady]);
+  }, [isMessagesLoaded, isWSReady, userId]);
 
   const sendMessage = async (message: string, messageId?: string) => {
     if (loading) return;
+    if (!ws || ws.readyState !== WebSocket.OPEN) {
+      toast.error('Cannot send message while disconnected');
+      return;
+    }
 
     setLoading(true);
     setMessageAppeared(false);
@@ -368,11 +521,12 @@ const ChatWindow = ({ id }: { id?: string }) => {
     let recievedMessage = '';
     let added = false;
 
-    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
+    messageId = messageId ?? new Mcid().generate().toString();
 
-    ws?.send(
+    ws.send(
       JSON.stringify({
         type: 'message',
+        userId: userId,
         message: {
           messageId: messageId,
           chatId: chatId!,
@@ -380,8 +534,9 @@ const ChatWindow = ({ id }: { id?: string }) => {
         },
         files: fileIds,
         focusMode: focusMode,
+        copilotEnabled: copilotEnabled,
         optimizationMode: optimizationMode,
-        history: [...chatHistory, ['human', message]],
+        history: [],
       }),
     );
 
@@ -443,7 +598,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
         setMessages((prev) =>
           prev.map((message) => {
             if (message.messageId === data.messageId) {
-              return { ...message, content: message.content + data.data };
+              return {...message, content: message.content + data.data};
             }
 
             return message;
@@ -476,7 +631,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
           setMessages((prev) =>
             prev.map((msg) => {
               if (msg.messageId === lastMsg.messageId) {
-                return { ...msg, suggestions: suggestions };
+                return {...msg, suggestions: suggestions};
               }
               return msg;
             }),
@@ -514,22 +669,31 @@ const ChatWindow = ({ id }: { id?: string }) => {
 
   if (hasError) {
     return (
-      <div className="flex flex-col items-center justify-center min-h-screen">
-        <p className="dark:text-white/70 text-black/70 text-sm">
-          Failed to connect to the server. Please try again later.
-        </p>
+      <div className="relative">
+        <div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
+          <Settings
+            className="cursor-pointer lg:hidden"
+            onClick={() => setIsSettingsOpen(true)}
+          />
+        </div>
+        <div className="flex flex-col items-center justify-center min-h-screen">
+          <p className="dark:text-white/70 text-black/70 text-sm">
+            Failed to connect to the server. Please try again later.
+          </p>
+        </div>
+        <SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen}/>
       </div>
     );
   }
 
   return isReady ? (
     notFound ? (
-      <Error statusCode={404} />
+      <NextError statusCode={404}/>
     ) : (
       <div>
         {messages.length > 0 ? (
           <>
-            <Navbar chatId={chatId!} messages={messages} />
+            <Navbar chatId={chatId!} messages={messages}/>
             <Chat
               loading={loading}
               messages={messages}
@@ -540,13 +704,17 @@ const ChatWindow = ({ id }: { id?: string }) => {
               setFileIds={setFileIds}
               files={files}
               setFiles={setFiles}
+              copilotEnabled={copilotEnabled}
+              setCopilotEnabled={setCopilotEnabled}
             />
           </>
         ) : (
           <EmptyChat
             sendMessage={sendMessage}
             focusMode={focusMode}
-            setFocusMode={setFocusMode}
+            copilotEnabled={copilotEnabled}
+            setCopilotEnabled={setCopilotEnabled}
+            setFocusMode={handleFocusModeChange}
             optimizationMode={optimizationMode}
             setOptimizationMode={setOptimizationMode}
             fileIds={fileIds}

ui/components/EmptyChat.tsx

@@ -8,6 +8,8 @@ const EmptyChat = ({
   sendMessage,
   focusMode,
   setFocusMode,
+  copilotEnabled,
+  setCopilotEnabled,
   optimizationMode,
   setOptimizationMode,
   fileIds,
@@ -18,6 +20,8 @@ const EmptyChat = ({
   sendMessage: (message: string) => void;
   focusMode: string;
   setFocusMode: (mode: string) => void;
+  copilotEnabled: boolean;
+  setCopilotEnabled: (enabled: boolean) => void;
   optimizationMode: string;
   setOptimizationMode: (mode: string) => void;
   fileIds: string[];
@@ -36,14 +40,16 @@ const EmptyChat = ({
           onClick={() => setIsSettingsOpen(true)}
         />
       </div>
-      <div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-8">
-        <h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
+      <div className="flex flex-col items-center max-w-screen-sm mx-auto p-2 pt-16 mt-16 space-y-8">
+        <h2 className="text-black/70 dark:text-white/70 text-5xl font-medium -mt-8">
           Research begins here.
         </h2>
         <EmptyChatMessageInput
           sendMessage={sendMessage}
           focusMode={focusMode}
           setFocusMode={setFocusMode}
+          copilotEnabled={copilotEnabled}
+          setCopilotEnabled={setCopilotEnabled}
           optimizationMode={optimizationMode}
           setOptimizationMode={setOptimizationMode}
           fileIds={fileIds}

ui/components/EmptyChatMessageInput.tsx

@@ -11,6 +11,8 @@ const EmptyChatMessageInput = ({
   sendMessage,
   focusMode,
   setFocusMode,
+  copilotEnabled,
+  setCopilotEnabled,
   optimizationMode,
   setOptimizationMode,
   fileIds,
@@ -23,12 +25,13 @@ const EmptyChatMessageInput = ({
   setFocusMode: (mode: string) => void;
   optimizationMode: string;
   setOptimizationMode: (mode: string) => void;
+  copilotEnabled:boolean
+  setCopilotEnabled:(mode: boolean) => void;
   fileIds: string[];
   setFileIds: (fileIds: string[]) => void;
   files: File[];
   setFiles: (files: File[]) => void;
 }) => {
-  const [copilotEnabled, setCopilotEnabled] = useState(false);
   const [message, setMessage] = useState('');
 
   const inputRef = useRef<HTMLTextAreaElement | null>(null);
@@ -85,6 +88,8 @@ const EmptyChatMessageInput = ({
         <div className="flex flex-row items-center justify-between mt-4">
           <div className="flex flex-row items-center space-x-2 lg:space-x-4">
             <Focus focusMode={focusMode} setFocusMode={setFocusMode} />
+          </div>
+          <div className="flex flex-row items-center space-x-1 sm:space-x-4">
             <Attach
               fileIds={fileIds}
               setFileIds={setFileIds}
@@ -92,12 +97,12 @@ const EmptyChatMessageInput = ({
               setFiles={setFiles}
               showText
             />
-          </div>
-          <div className="flex flex-row items-center space-x-1 sm:space-x-4">
-            <Optimization
-              optimizationMode={optimizationMode}
-              setOptimizationMode={setOptimizationMode}
-            />
+
+            <CopilotToggle setCopilotEnabled={setCopilotEnabled} copilotEnabled={copilotEnabled}/>
+            {/*<Optimization*/}
+            {/*  optimizationMode={optimizationMode}*/}
+            {/*  setOptimizationMode={setOptimizationMode}*/}
+            {/*/>*/}
             <button
               disabled={message.trim().length === 0}
               className="bg-[#24A0ED] text-white disabled:text-black/50 dark:disabled:text-white/50 disabled:bg-[#e0e0dc] dark:disabled:bg-[#ececec21] hover:bg-opacity-85 transition duration-100 rounded-full p-2"

ui/components/MessageBox.tsx

@@ -107,8 +107,8 @@ const MessageBox = ({
               </div>
               <Markdown
                 className={cn(
-                  'prose dark:prose-invert prose-p:leading-relaxed prose-pre:p-0',
-                  'max-w-none break-words text-black dark:text-white text-sm md:text-base font-medium',
+                  'prose prose-h1:mb-3 prose-h2:mb-2 prose-h2:mt-6 prose-h2:font-[800] prose-h3:mt-4 prose-h3:mb-1.5 prose-h3:font-[600] dark:prose-invert prose-p:leading-relaxed prose-pre:p-0 font-[400]',
+                  'max-w-none break-words text-black dark:text-white',
                 )}
               >
                 {parsedMessage}

ui/components/MessageInput.tsx

@@ -14,6 +14,8 @@ const MessageInput = ({
   setFileIds,
   files,
   setFiles,
+  copilotEnabled,
+  setCopilotEnabled,
 }: {
   sendMessage: (message: string) => void;
   loading: boolean;
@@ -21,8 +23,10 @@ const MessageInput = ({
   setFileIds: (fileIds: string[]) => void;
   files: File[];
   setFiles: (files: File[]) => void;
+  copilotEnabled:boolean
+  setCopilotEnabled:(mode: boolean) => void;
+
 }) => {
-  const [copilotEnabled, setCopilotEnabled] = useState(false);
   const [message, setMessage] = useState('');
   const [textareaRows, setTextareaRows] = useState(1);
   const [mode, setMode] = useState<'multi' | 'single'>('single');

ui/components/MessageInputActions/AttachSmall.tsx

@@ -55,7 +55,7 @@ const AttachSmall = ({
     <div className="flex flex-row items-center justify-between space-x-1 p-1">
       <LoaderCircle size={20} className="text-sky-400 animate-spin" />
     </div>
-  ) : files.length > 0 ? (
+  ) : files && files.length > 0 ? (
     <Popover className="max-w-[15rem] md:max-w-md lg:max-w-lg">
       <PopoverButton
         type="button"

ui/components/MessageInputActions/Focus.tsx

@@ -1,5 +1,5 @@
 import {
-  BadgePercent,
+  BadgePercent, Calculator,
   ChevronDown,
   Globe,
   Pencil,
@@ -13,13 +13,14 @@ import {
   PopoverPanel,
   Transition,
 } from '@headlessui/react';
-import { SiReddit, SiYoutube } from '@icons-pack/react-simple-icons';
+import {SiGoogletranslate, SiReddit, SiYoutube} from '@icons-pack/react-simple-icons';
 import { Fragment } from 'react';
+import DeepSeekIcon from "@/assets/DeepSeekIcon";
 
 const focusModes = [
   {
     key: 'webSearch',
-    title: 'All',
+    title: 'Search',
     description: 'Searches across all of the internet',
     icon: <Globe size={20} />,
   },
@@ -29,6 +30,12 @@ const focusModes = [
     description: 'Search in published academic papers',
     icon: <SwatchBook size={20} />,
   },
+  {
+    key: 'wolframAlphaSearch',
+    title: 'Wolfram Alpha',
+    description: 'Computational knowledge engine',
+    icon: <BadgePercent size={20} />,
+  },
   {
     key: 'writingAssistant',
     title: 'Writing',
@@ -36,11 +43,24 @@ const focusModes = [
     icon: <Pencil size={16} />,
   },
   {
-    key: 'wolframAlphaSearch',
-    title: 'Wolfram Alpha',
-    description: 'Computational knowledge engine',
-    icon: <BadgePercent size={20} />,
+    key: 'mathAssistant',
+    title: 'Math',
+    description: 'Chat without searching the web',
+    icon: <Calculator size={25} />,
   },
+  {
+    key: 'translator',
+    title: 'Translator',
+    description: 'Chat without searching the web',
+    icon: (
+      <SiGoogletranslate
+        className="h-5 w-auto mr-0.5"
+        onPointerEnterCapture={undefined}
+        onPointerLeaveCapture={undefined}
+      />
+    ),
+  },
+
   {
     key: 'youtubeSearch',
     title: 'Youtube',
@@ -65,6 +85,14 @@ const focusModes = [
       />
     ),
   },
+  {
+    key: 'deepSeek',
+    title: 'DeepSeek',
+    description: 'Chat with DeepSeek',
+    icon: (
+      <DeepSeekIcon className="h-8 w-auto mr-0.5" />
+    ),
+  },
 ];
 
 const Focus = ({
@@ -105,7 +133,7 @@ const Focus = ({
         leaveTo="opacity-0 translate-y-1"
       >
         <PopoverPanel className="absolute z-10 w-64 md:w-[500px] left-0">
-          <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-2 bg-light-primary dark:bg-dark-primary border rounded-lg border-light-200 dark:border-dark-200 w-full p-4 max-h-[200px] md:max-h-none overflow-y-auto">
+          <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-2 bg-light-primary dark:bg-dark-primary border rounded-lg border-light-200 dark:border-dark-200 w-full p-4 max-h-[calc(100vh-6rem)] md:max-h-none overflow-y-auto pb-20">
             {focusModes.map((mode, i) => (
               <PopoverButton
                 onClick={() => setFocusMode(mode.key)}

ui/components/SearchVideos.tsx

@@ -1,6 +1,6 @@
 /* eslint-disable @next/next/no-img-element */
 import { PlayCircle, PlayIcon, PlusIcon, VideoIcon } from 'lucide-react';
-import { useState } from 'react';
+import { useRef, useState } from 'react';
 import Lightbox, { GenericSlide, VideoSlide } from 'yet-another-react-lightbox';
 import 'yet-another-react-lightbox/styles.css';
 import { Message } from './ChatWindow';
@@ -35,6 +35,8 @@ const Searchvideos = ({
   const [loading, setLoading] = useState(false);
   const [open, setOpen] = useState(false);
   const [slides, setSlides] = useState<VideoSlide[]>([]);
+  const [currentIndex, setCurrentIndex] = useState(0);
+  const videoRefs = useRef<(HTMLIFrameElement | null)[]>([]);
 
   return (
     <>
@@ -182,18 +184,39 @@ const Searchvideos = ({
             open={open}
             close={() => setOpen(false)}
             slides={slides}
+            index={currentIndex}
+            on={{
+              view: ({ index }) => {
+                const previousIframe = videoRefs.current[currentIndex];
+                if (previousIframe?.contentWindow) {
+                  previousIframe.contentWindow.postMessage(
+                    '{"event":"command","func":"pauseVideo","args":""}',
+                    '*',
+                  );
+                }
+
+                setCurrentIndex(index);
+              },
+            }}
             render={{
-              slide: ({ slide }) =>
-                slide.type === 'video-slide' ? (
+              slide: ({ slide }) => {
+                const index = slides.findIndex((s) => s === slide);
+                return slide.type === 'video-slide' ? (
                   <div className="h-full w-full flex flex-row items-center justify-center">
                     <iframe
-                      src={slide.iframe_src}
+                      src={`${slide.iframe_src}${slide.iframe_src.includes('?') ? '&' : '?'}enablejsapi=1`}
+                      ref={(el) => {
+                        if (el) {
+                          videoRefs.current[index] = el;
+                        }
+                      }}
                       className="aspect-video max-h-[95vh] w-[95vw] rounded-2xl md:w-[80vw]"
                       allowFullScreen
                       allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
                     />
                   </div>
-                ) : null,
+                ) : null;
+              },
             }}
           />
         </>

ui/components/theme/Provider.tsx

@@ -7,7 +7,7 @@ const ThemeProviderComponent = ({
   children: React.ReactNode;
 }) => {
   return (
-    <ThemeProvider attribute="class" enableSystem={false} defaultTheme="dark">
+    <ThemeProvider attribute="class" enableSystem={false} defaultTheme="light">
       {children}
     </ThemeProvider>
   );

ui/lib/mcid.ts

@@ -0,0 +1,36 @@
+// utils/mcid.ts
+export class Mcid {
+  private lastTimestamp = -1;
+  private sequence = 0;
+
+  constructor(private readonly machineId: number = 0) {
+    if (machineId < 0 || machineId > 255) {
+      throw new Error('Machine ID must be between 0 and 255');
+    }
+  }
+
+  generate(): number {
+    let now = Date.now();
+
+    if (now < this.lastTimestamp) {
+      throw new Error('Clock moved backwards');
+    }
+
+    if (now === this.lastTimestamp) {
+      this.sequence = (this.sequence + 1) & 0xf;
+      if (this.sequence === 0) {
+        while (now <= this.lastTimestamp) {
+          now = Date.now();
+        }
+      }
+    } else {
+      this.sequence = 0;
+    }
+
+    this.lastTimestamp = now;
+
+    return (
+      (now * 0x1000) + (this.machineId * 16) + this.sequence
+    );
+  }
+}

ui/package.json

@@ -18,7 +18,7 @@
     "clsx": "^2.1.0",
     "langchain": "^0.1.30",
     "lucide-react": "^0.363.0",
-    "markdown-to-jsx": "^7.6.2",
+    "markdown-to-jsx": "^7.7.2",
     "next": "14.1.4",
     "next-themes": "^0.3.0",
     "react": "^18",

ui/yarn.lock

@@ -2210,10 +2210,10 @@ lucide-react@^0.363.0:
   resolved "https://registry.yarnpkg.com/lucide-react/-/lucide-react-0.363.0.tgz#2bb1f9d09b830dda86f5118fcd097f87247fe0e3"
   integrity sha512-AlsfPCsXQyQx7wwsIgzcKOL9LwC498LIMAo+c0Es5PkHJa33xwmYAkkSoKoJWWWSYQEStqu58/jT4tL2gi32uQ==
 
-markdown-to-jsx@^7.6.2:
-  version "7.6.2"
-  resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.6.2.tgz#254cbf7d412a37073486c0a2dd52266d2191a793"
-  integrity sha512-gEcyiJXzBxmId2Y/kydLbD6KRNccDiUy/Src1cFGn3s2X0LZZ/hUiEc2VisFyA5kUE3SXclTCczjQiAuqKZiFQ==
+markdown-to-jsx@^7.7.2:
+  version "7.7.2"
+  resolved "https://registry.yarnpkg.com/markdown-to-jsx/-/markdown-to-jsx-7.7.2.tgz#59c1dd64f48b53719311ab140be3cd51cdabccd3"
+  integrity sha512-N3AKfYRvxNscvcIH6HDnDKILp4S8UWbebp+s92Y8SwIq0CuSbLW4Jgmrbjku3CWKjTQO0OyIMS6AhzqrwjEa3g==
 
 md5@^2.3.0:
   version "2.3.0"