feat(package): bump version

.github/workflows/docker-build.yaml

@@ -0,0 +1,73 @@
+name: Build & Push Docker Images
+
+on:
+  push:
+    branches:
+      - master
+  release:
+    types: [published]
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        service: [backend, app]
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v2
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          install: true
+
+      - name: Log in to DockerHub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+
+      - name: Extract version from release tag
+        if: github.event_name == 'release'
+        id: version
+        run: echo "RELEASE_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
+
+      - name: Build and push Docker image for ${{ matrix.service }}
+        if: github.ref == 'refs/heads/master' && github.event_name == 'push'
+        run: |
+          docker buildx create --use
+          if [[ "${{ matrix.service }}" == "backend" ]]; then \
+            DOCKERFILE=backend.dockerfile; \
+            IMAGE_NAME=perplexica-backend; \
+          else \
+            DOCKERFILE=app.dockerfile; \
+            IMAGE_NAME=perplexica-frontend; \
+          fi
+          docker buildx build --platform linux/amd64,linux/arm64 \
+            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:main \
+            --cache-to=type=inline \
+            -f $DOCKERFILE \
+            -t itzcrazykns1337/${IMAGE_NAME}:main \
+            --push .
+
+      - name: Build and push release Docker image for ${{ matrix.service }}
+        if: github.event_name == 'release'
+        run: |
+          docker buildx create --use
+          if [[ "${{ matrix.service }}" == "backend" ]]; then \
+            DOCKERFILE=backend.dockerfile; \
+            IMAGE_NAME=perplexica-backend; \
+          else \
+            DOCKERFILE=app.dockerfile; \
+            IMAGE_NAME=perplexica-frontend; \
+          fi
+          docker buildx build --platform linux/amd64,linux/arm64 \
+            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }} \
+            --cache-to=type=inline \
+            -f $DOCKERFILE \
+            -t itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }} \
+            --push .

.gitignore

@@ -35,4 +35,5 @@ logs/
 Thumbs.db
 
 # Db
-db.sqlite
+db.sqlite
+/searxng

README.md

@@ -13,6 +13,7 @@
   - [Ollama Connection Errors](#ollama-connection-errors)
 - [Using as a Search Engine](#using-as-a-search-engine)
 - [Using Perplexica's API](#using-perplexicas-api)
+- [Expose Perplexica to a network](#expose-perplexica-to-network)
 - [One-Click Deployment](#one-click-deployment)
 - [Upcoming Features](#upcoming-features)
 - [Support Us](#support-us)
@@ -133,6 +134,10 @@ Perplexica also provides an API for developers looking to integrate its powerful
 
 For more details, check out the full documentation [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/API/SEARCH.md).
 
+## Expose Perplexica to network
+
+You can access Perplexica over your home network by following our networking guide [here](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
+
 ## One-Click Deployment
 
 [![Deploy to RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploylobe.svg)](https://repocloud.io/details/?app_id=267)
@@ -144,8 +149,8 @@ For more details, check out the full documentation [here](https://github.com/Itz
 - [x] History Saving features
 - [x] Introducing various Focus Modes
 - [x] Adding API support
+- [x] Adding Discover
 - [ ] Finalizing Copilot Mode
-- [ ] Adding Discover
 
 ## Support Us
 

app.dockerfile

@@ -1,7 +1,7 @@
 FROM node:alpine
 
-ARG NEXT_PUBLIC_WS_URL
-ARG NEXT_PUBLIC_API_URL
+ARG NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
+ARG NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
 ENV NEXT_PUBLIC_WS_URL=${NEXT_PUBLIC_WS_URL}
 ENV NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL}
 
@@ -9,7 +9,7 @@ WORKDIR /home/perplexica
 
 COPY ui /home/perplexica/
 
-RUN yarn install
+RUN yarn install --frozen-lockfile
 RUN yarn build
 
 CMD ["yarn", "start"]

backend.dockerfile

@@ -1,20 +1,16 @@
-FROM node:slim
-
-ARG SEARXNG_API_URL
-ENV SEARXNG_API_URL=${SEARXNG_API_URL}
+FROM node:18-slim
 
 WORKDIR /home/perplexica
 
 COPY src /home/perplexica/src
 COPY tsconfig.json /home/perplexica/
-COPY config.toml /home/perplexica/
 COPY drizzle.config.ts /home/perplexica/
 COPY package.json /home/perplexica/
 COPY yarn.lock /home/perplexica/
 
 RUN mkdir /home/perplexica/data
 
-RUN yarn install 
+RUN yarn install --frozen-lockfile --network-timeout 600000
 RUN yarn build
 
 CMD ["yarn", "start"]

docker-compose.yaml

@@ -13,8 +13,9 @@ services:
     build:
       context: .
       dockerfile: backend.dockerfile
-      args:
-        - SEARXNG_API_URL=http://searxng:8080
+    image: itzcrazykns1337/perplexica-backend:main
+    environment:
+      - SEARXNG_API_URL=http://searxng:8080
     depends_on:
       - searxng
     ports:
@@ -35,6 +36,7 @@ services:
       args:
         - NEXT_PUBLIC_API_URL=http://127.0.0.1:3001/api
         - NEXT_PUBLIC_WS_URL=ws://127.0.0.1:3001
+    image: itzcrazykns1337/perplexica-frontend:main
     depends_on:
       - perplexica-backend
     ports:

docs/API/SEARCH.md

@@ -6,7 +6,9 @@ Perplexica’s Search API makes it easy to use our AI-powered search engine. You
 
 ## Endpoint
 
-### **POST** `/api/search`
+### **POST** `http://localhost:3001/api/search`
+
+**Note**: Replace `3001` with any other port if you've changed the default PORT
 
 ### Request
 
@@ -24,15 +26,19 @@ The API accepts a JSON object in the request body, where you define the focus mo
     "provider": "openai",
     "model": "text-embedding-3-large"
   },
+  "optimizationMode": "speed",
   "focusMode": "webSearch",
   "query": "What is Perplexica",
-  "history": []
+  "history": [
+    ["human", "Hi, how are you?"],
+    ["assistant", "I am doing well, how can I help you today?"]
+  ]
 }
 ```
 
 ### Request Parameters
 
-- **`chatModel`** (object, optional): Defines the chat model to be used for the query.
+- **`chatModel`** (object, optional): Defines the chat model to be used for the query. For model details you can send a GET request at `http://localhost:3001/api/models`. Make sure to use the key value (For example "gpt-4o-mini" instead of the display name "GPT 4 omni mini").
 
   - `provider`: Specifies the provider for the chat model (e.g., `openai`, `ollama`).
   - `model`: The specific model from the chosen provider (e.g., `gpt-4o-mini`).
@@ -40,7 +46,7 @@ The API accepts a JSON object in the request body, where you define the focus mo
     - `customOpenAIBaseURL`: If you’re using a custom OpenAI instance, provide the base URL.
     - `customOpenAIKey`: The API key for a custom OpenAI instance.
 
-- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching.
+- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching. For model details you can send a GET request at `http://localhost:3001/api/models`. Make sure to use the key value (For example "text-embedding-3-large" instead of the display name "Text Embedding 3 Large").
 
   - `provider`: The provider for the embedding model (e.g., `openai`).
   - `model`: The specific embedding model (e.g., `text-embedding-3-large`).
@@ -49,9 +55,15 @@ The API accepts a JSON object in the request body, where you define the focus mo
 
   - `webSearch`, `academicSearch`, `writingAssistant`, `wolframAlphaSearch`, `youtubeSearch`, `redditSearch`.
 
+- **`optimizationMode`** (string, optional): Specifies the optimization mode to control the balance between performance and quality. Available modes:
+
+  - `speed`: Prioritize speed and return the fastest answer.
+  - `balanced`: Provide a balanced answer with good speed and reasonable quality.
+
 - **`query`** (string, required): The search query or question.
 
 - **`history`** (array, optional): An array of message pairs representing the conversation history. Each pair consists of a role (either 'human' or 'assistant') and the message content. This allows the system to use the context of the conversation to refine results. Example:
+
   ```json
   [
     ["human", "What is Perplexica?"],

docs/installation/UPDATING.md

@@ -10,15 +10,21 @@ To update Perplexica to the latest version, follow these steps:
    git clone https://github.com/ItzCrazyKns/Perplexica.git
 ```
 
-2. Navigate to the Project Directory
+2. Navigate to the Project Directory.
 
-3. Update and Rebuild Docker Containers:
+3. Pull latest images from registry.
 
 ```bash
-docker compose up -d --build
+docker compose pull
 ```
 
-4. Once the command completes running go to http://localhost:3000 and verify the latest changes.
+4. Update and Recreate containers.
+
+```bash
+docker compose up -d
+```
+
+5. Once the command completes running go to http://localhost:3000 and verify the latest changes.
 
 ## For non Docker users
 

package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-backend",
-  "version": "1.9.0-rc3",
+  "version": "1.9.2",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
@@ -18,6 +18,7 @@
     "@types/html-to-text": "^9.0.4",
     "@types/pdf-parse": "^1.1.4",
     "@types/readable-stream": "^4.0.11",
+    "@types/ws": "^8.5.12",
     "drizzle-kit": "^0.22.7",
     "nodemon": "^3.1.0",
     "prettier": "^3.2.5",

src/agents/academicSearchAgent.ts

@@ -115,12 +115,7 @@ const createBasicAcademicSearchRetrieverChain = (llm: BaseChatModel) => {
 
       const res = await searchSearxng(input, {
         language: 'en',
-        engines: [
-          'arxiv',
-          'google scholar',
-          'internetarchivescholar',
-          'pubmed',
-        ],
+        engines: ['arxiv', 'google scholar', 'pubmed'],
       });
 
       const documents = res.results.map(
@@ -143,6 +138,7 @@ const createBasicAcademicSearchRetrieverChain = (llm: BaseChatModel) => {
 const createBasicAcademicSearchAnsweringChain = (
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const basicAcademicSearchRetrieverChain =
     createBasicAcademicSearchRetrieverChain(llm);
@@ -168,26 +164,32 @@ const createBasicAcademicSearchAnsweringChain = (
       (doc) => doc.pageContent && doc.pageContent.length > 0,
     );
 
-    const [docEmbeddings, queryEmbedding] = await Promise.all([
-      embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
-      embeddings.embedQuery(query),
-    ]);
+    if (optimizationMode === 'speed') {
+      return docsWithContent.slice(0, 15);
+    } else if (optimizationMode === 'balanced') {
+      const [docEmbeddings, queryEmbedding] = await Promise.all([
+        embeddings.embedDocuments(
+          docsWithContent.map((doc) => doc.pageContent),
+        ),
+        embeddings.embedQuery(query),
+      ]);
 
-    const similarity = docEmbeddings.map((docEmbedding, i) => {
-      const sim = computeSimilarity(queryEmbedding, docEmbedding);
+      const similarity = docEmbeddings.map((docEmbedding, i) => {
+        const sim = computeSimilarity(queryEmbedding, docEmbedding);
 
-      return {
-        index: i,
-        similarity: sim,
-      };
-    });
+        return {
+          index: i,
+          similarity: sim,
+        };
+      });
 
-    const sortedDocs = similarity
-      .sort((a, b) => b.similarity - a.similarity)
-      .slice(0, 15)
-      .map((sim) => docsWithContent[sim.index]);
+      const sortedDocs = similarity
+        .sort((a, b) => b.similarity - a.similarity)
+        .slice(0, 15)
+        .map((sim) => docsWithContent[sim.index]);
 
-    return sortedDocs;
+      return sortedDocs;
+    }
   };
 
   return RunnableSequence.from([
@@ -224,12 +226,17 @@ const basicAcademicSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const emitter = new eventEmitter();
 
   try {
     const basicAcademicSearchAnsweringChain =
-      createBasicAcademicSearchAnsweringChain(llm, embeddings);
+      createBasicAcademicSearchAnsweringChain(
+        llm,
+        embeddings,
+        optimizationMode,
+      );
 
     const stream = basicAcademicSearchAnsweringChain.streamEvents(
       {
@@ -258,8 +265,15 @@ const handleAcademicSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
-  const emitter = basicAcademicSearch(message, history, llm, embeddings);
+  const emitter = basicAcademicSearch(
+    message,
+    history,
+    llm,
+    embeddings,
+    optimizationMode,
+  );
   return emitter;
 };
 

src/agents/redditSearchAgent.ts

@@ -138,6 +138,7 @@ const createBasicRedditSearchRetrieverChain = (llm: BaseChatModel) => {
 const createBasicRedditSearchAnsweringChain = (
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const basicRedditSearchRetrieverChain =
     createBasicRedditSearchRetrieverChain(llm);
@@ -163,27 +164,33 @@ const createBasicRedditSearchAnsweringChain = (
       (doc) => doc.pageContent && doc.pageContent.length > 0,
     );
 
-    const [docEmbeddings, queryEmbedding] = await Promise.all([
-      embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
-      embeddings.embedQuery(query),
-    ]);
+    if (optimizationMode === 'speed') {
+      return docsWithContent.slice(0, 15);
+    } else if (optimizationMode === 'balanced') {
+      const [docEmbeddings, queryEmbedding] = await Promise.all([
+        embeddings.embedDocuments(
+          docsWithContent.map((doc) => doc.pageContent),
+        ),
+        embeddings.embedQuery(query),
+      ]);
 
-    const similarity = docEmbeddings.map((docEmbedding, i) => {
-      const sim = computeSimilarity(queryEmbedding, docEmbedding);
+      const similarity = docEmbeddings.map((docEmbedding, i) => {
+        const sim = computeSimilarity(queryEmbedding, docEmbedding);
 
-      return {
-        index: i,
-        similarity: sim,
-      };
-    });
+        return {
+          index: i,
+          similarity: sim,
+        };
+      });
 
-    const sortedDocs = similarity
-      .filter((sim) => sim.similarity > 0.3)
-      .sort((a, b) => b.similarity - a.similarity)
-      .slice(0, 15)
-      .map((sim) => docsWithContent[sim.index]);
+      const sortedDocs = similarity
+        .filter((sim) => sim.similarity > 0.3)
+        .sort((a, b) => b.similarity - a.similarity)
+        .slice(0, 15)
+        .map((sim) => docsWithContent[sim.index]);
 
-    return sortedDocs;
+      return sortedDocs;
+    }
   };
 
   return RunnableSequence.from([
@@ -220,12 +227,13 @@ const basicRedditSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const emitter = new eventEmitter();
 
   try {
     const basicRedditSearchAnsweringChain =
-      createBasicRedditSearchAnsweringChain(llm, embeddings);
+      createBasicRedditSearchAnsweringChain(llm, embeddings, optimizationMode);
     const stream = basicRedditSearchAnsweringChain.streamEvents(
       {
         chat_history: history,
@@ -253,8 +261,15 @@ const handleRedditSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
-  const emitter = basicRedditSearch(message, history, llm, embeddings);
+  const emitter = basicRedditSearch(
+    message,
+    history,
+    llm,
+    embeddings,
+    optimizationMode,
+  );
   return emitter;
 };
 

src/agents/webSearchAgent.ts

@@ -216,12 +216,54 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
         await Promise.all(
           docGroups.map(async (doc) => {
             const res = await llm.invoke(`
-            You are a text summarizer. You need to summarize the text provided inside the \`text\` XML block. 
-            You need to summarize the text into 1 or 2 sentences capturing the main idea of the text.
-            You need to make sure that you don't miss any point while summarizing the text.
-            You will also be given a \`query\` XML block which will contain the query of the user. Try to answer the query in the summary from the text provided.
-            If the query says Summarize then you just need to summarize the text without answering the query.
-            Only return the summarized text without any other messages, text or XML block.
+            You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the 
+            text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
+            If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
+            
+            - **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
+            - **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
+            - **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.
+
+            The text will be shared inside the \`text\` XML tag, and the query inside the \`query\` XML tag.
+
+            <example>
+            1. \`<text>
+            Docker is a set of platform-as-a-service products that use OS-level virtualization to deliver software in packages called containers. 
+            It was first released in 2013 and is developed by Docker, Inc. Docker is designed to make it easier to create, deploy, and run applications 
+            by using containers.
+            </text>
+
+            <query>
+            What is Docker and how does it work?
+            </query>
+
+            Response:
+            Docker is a revolutionary platform-as-a-service product developed by Docker, Inc., that uses container technology to make application 
+            deployment more efficient. It allows developers to package their software with all necessary dependencies, making it easier to run in 
+            any environment. Released in 2013, Docker has transformed the way applications are built, deployed, and managed.
+            \`
+            2. \`<text>
+            The theory of relativity, or simply relativity, encompasses two interrelated theories of Albert Einstein: special relativity and general
+            relativity. However, the word "relativity" is sometimes used in reference to Galilean invariance. The term "theory of relativity" was based
+            on the expression "relative theory" used by Max Planck in 1906. The theory of relativity usually encompasses two interrelated theories by
+            Albert Einstein: special relativity and general relativity. Special relativity applies to all physical phenomena in the absence of gravity.
+            General relativity explains the law of gravitation and its relation to other forces of nature. It applies to the cosmological and astrophysical
+            realm, including astronomy.
+            </text>
+
+            <query>
+            summarize
+            </query>
+
+            Response:
+            The theory of relativity, developed by Albert Einstein, encompasses two main theories: special relativity and general relativity. Special
+            relativity applies to all physical phenomena in the absence of gravity, while general relativity explains the law of gravitation and its
+            relation to other forces of nature. The theory of relativity is based on the concept of "relative theory," as introduced by Max Planck in
+            1906. It is a fundamental theory in physics that has revolutionized our understanding of the universe.
+            \`
+            </example>
+
+            Everything below is the actual data you will be working with. Good luck!
 
             <query>
             ${question}
@@ -273,6 +315,7 @@ const createBasicWebSearchRetrieverChain = (llm: BaseChatModel) => {
 const createBasicWebSearchAnsweringChain = (
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const basicWebSearchRetrieverChain = createBasicWebSearchRetrieverChain(llm);
 
@@ -301,27 +344,33 @@ const createBasicWebSearchAnsweringChain = (
       (doc) => doc.pageContent && doc.pageContent.length > 0,
     );
 
-    const [docEmbeddings, queryEmbedding] = await Promise.all([
-      embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
-      embeddings.embedQuery(query),
-    ]);
+    if (optimizationMode === 'speed') {
+      return docsWithContent.slice(0, 15);
+    } else if (optimizationMode === 'balanced') {
+      const [docEmbeddings, queryEmbedding] = await Promise.all([
+        embeddings.embedDocuments(
+          docsWithContent.map((doc) => doc.pageContent),
+        ),
+        embeddings.embedQuery(query),
+      ]);
 
-    const similarity = docEmbeddings.map((docEmbedding, i) => {
-      const sim = computeSimilarity(queryEmbedding, docEmbedding);
+      const similarity = docEmbeddings.map((docEmbedding, i) => {
+        const sim = computeSimilarity(queryEmbedding, docEmbedding);
 
-      return {
-        index: i,
-        similarity: sim,
-      };
-    });
+        return {
+          index: i,
+          similarity: sim,
+        };
+      });
 
-    const sortedDocs = similarity
-      .filter((sim) => sim.similarity > 0.3)
-      .sort((a, b) => b.similarity - a.similarity)
-      .slice(0, 15)
-      .map((sim) => docsWithContent[sim.index]);
+      const sortedDocs = similarity
+        .filter((sim) => sim.similarity > 0.3)
+        .sort((a, b) => b.similarity - a.similarity)
+        .slice(0, 15)
+        .map((sim) => docsWithContent[sim.index]);
 
-    return sortedDocs;
+      return sortedDocs;
+    }
   };
 
   return RunnableSequence.from([
@@ -358,6 +407,7 @@ const basicWebSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const emitter = new eventEmitter();
 
@@ -365,6 +415,7 @@ const basicWebSearch = (
     const basicWebSearchAnsweringChain = createBasicWebSearchAnsweringChain(
       llm,
       embeddings,
+      optimizationMode,
     );
 
     const stream = basicWebSearchAnsweringChain.streamEvents(
@@ -394,8 +445,15 @@ const handleWebSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
-  const emitter = basicWebSearch(message, history, llm, embeddings);
+  const emitter = basicWebSearch(
+    message,
+    history,
+    llm,
+    embeddings,
+    optimizationMode,
+  );
   return emitter;
 };
 

src/agents/youtubeSearchAgent.ts

@@ -138,6 +138,7 @@ const createBasicYoutubeSearchRetrieverChain = (llm: BaseChatModel) => {
 const createBasicYoutubeSearchAnsweringChain = (
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const basicYoutubeSearchRetrieverChain =
     createBasicYoutubeSearchRetrieverChain(llm);
@@ -163,27 +164,33 @@ const createBasicYoutubeSearchAnsweringChain = (
       (doc) => doc.pageContent && doc.pageContent.length > 0,
     );
 
-    const [docEmbeddings, queryEmbedding] = await Promise.all([
-      embeddings.embedDocuments(docsWithContent.map((doc) => doc.pageContent)),
-      embeddings.embedQuery(query),
-    ]);
+    if (optimizationMode === 'speed') {
+      return docsWithContent.slice(0, 15);
+    } else {
+      const [docEmbeddings, queryEmbedding] = await Promise.all([
+        embeddings.embedDocuments(
+          docsWithContent.map((doc) => doc.pageContent),
+        ),
+        embeddings.embedQuery(query),
+      ]);
 
-    const similarity = docEmbeddings.map((docEmbedding, i) => {
-      const sim = computeSimilarity(queryEmbedding, docEmbedding);
+      const similarity = docEmbeddings.map((docEmbedding, i) => {
+        const sim = computeSimilarity(queryEmbedding, docEmbedding);
 
-      return {
-        index: i,
-        similarity: sim,
-      };
-    });
+        return {
+          index: i,
+          similarity: sim,
+        };
+      });
 
-    const sortedDocs = similarity
-      .filter((sim) => sim.similarity > 0.3)
-      .sort((a, b) => b.similarity - a.similarity)
-      .slice(0, 15)
-      .map((sim) => docsWithContent[sim.index]);
+      const sortedDocs = similarity
+        .filter((sim) => sim.similarity > 0.3)
+        .sort((a, b) => b.similarity - a.similarity)
+        .slice(0, 15)
+        .map((sim) => docsWithContent[sim.index]);
 
-    return sortedDocs;
+      return sortedDocs;
+    }
   };
 
   return RunnableSequence.from([
@@ -220,12 +227,13 @@ const basicYoutubeSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
   const emitter = new eventEmitter();
 
   try {
     const basicYoutubeSearchAnsweringChain =
-      createBasicYoutubeSearchAnsweringChain(llm, embeddings);
+      createBasicYoutubeSearchAnsweringChain(llm, embeddings, optimizationMode);
 
     const stream = basicYoutubeSearchAnsweringChain.streamEvents(
       {
@@ -254,8 +262,15 @@ const handleYoutubeSearch = (
   history: BaseMessage[],
   llm: BaseChatModel,
   embeddings: Embeddings,
+  optimizationMode: 'speed' | 'balanced' | 'quality',
 ) => {
-  const emitter = basicYoutubeSearch(message, history, llm, embeddings);
+  const emitter = basicYoutubeSearch(
+    message,
+    history,
+    llm,
+    embeddings,
+    optimizationMode,
+  );
   return emitter;
 };
 

src/lib/outputParsers/listLineOutputParser.ts

@@ -23,7 +23,7 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
     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/groq.ts

@@ -9,6 +9,45 @@ export const loadGroqChatModels = async () => {
 
   try {
     const chatModels = {
+      'llama-3.2-3b-preview': {
+        displayName: 'Llama 3.2 3B',
+        model: new ChatOpenAI(
+          {
+            openAIApiKey: groqApiKey,
+            modelName: 'llama-3.2-3b-preview',
+            temperature: 0.7,
+          },
+          {
+            baseURL: 'https://api.groq.com/openai/v1',
+          },
+        ),
+      },
+      'llama-3.2-11b-vision-preview': {
+        displayName: 'Llama 3.2 11B Vision',
+        model: new ChatOpenAI(
+          {
+            openAIApiKey: groqApiKey,
+            modelName: 'llama-3.2-11b-vision-preview',
+            temperature: 0.7,
+          },
+          {
+            baseURL: 'https://api.groq.com/openai/v1',
+          },
+        ),
+      },
+      'llama-3.2-90b-vision-preview': {
+        displayName: 'Llama 3.2 90B Vision',
+        model: new ChatOpenAI(
+          {
+            openAIApiKey: groqApiKey,
+            modelName: 'llama-3.2-90b-vision-preview',
+            temperature: 0.7,
+          },
+          {
+            baseURL: 'https://api.groq.com/openai/v1',
+          },
+        ),
+      },
       'llama-3.1-70b-versatile': {
         displayName: 'Llama 3.1 70B',
         model: new ChatOpenAI(

src/routes/discover.ts

@@ -0,0 +1,48 @@
+import express from 'express';
+import { searchSearxng } from '../lib/searxng';
+import logger from '../utils/logger';
+
+const router = express.Router();
+
+router.get('/', async (req, res) => {
+  try {
+    const data = (
+      await Promise.all([
+        searchSearxng('site:businessinsider.com AI', {
+          engines: ['bing news'],
+          pageno: 1,
+        }),
+        searchSearxng('site:www.exchangewire.com AI', {
+          engines: ['bing news'],
+          pageno: 1,
+        }),
+        searchSearxng('site:yahoo.com AI', {
+          engines: ['bing news'],
+          pageno: 1,
+        }),
+        searchSearxng('site:businessinsider.com tech', {
+          engines: ['bing news'],
+          pageno: 1,
+        }),
+        searchSearxng('site:www.exchangewire.com tech', {
+          engines: ['bing news'],
+          pageno: 1,
+        }),
+        searchSearxng('site:yahoo.com tech', {
+          engines: ['bing news'],
+          pageno: 1,
+        }),
+      ])
+    )
+      .map((result) => result.results)
+      .flat()
+      .sort(() => Math.random() - 0.5);
+
+    return res.json({ blogs: data });
+  } catch (err: any) {
+    logger.error(`Error in discover route: ${err.message}`);
+    return res.status(500).json({ message: 'An error has occurred' });
+  }
+});
+
+export default router;

src/routes/images.ts

@@ -4,14 +4,28 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { getAvailableChatModelProviders } from '../lib/providers';
 import { HumanMessage, AIMessage } from '@langchain/core/messages';
 import logger from '../utils/logger';
+import { ChatOpenAI } from '@langchain/openai';
 
 const router = express.Router();
 
+interface ChatModel {
+  provider: string;
+  model: string;
+  customOpenAIBaseURL?: string;
+  customOpenAIKey?: string;
+}
+
+interface ImageSearchBody {
+  query: string;
+  chatHistory: any[];
+  chatModel?: ChatModel;
+}
+
 router.post('/', async (req, res) => {
   try {
-    let { query, chat_history, chat_model_provider, chat_model } = req.body;
+    let body: ImageSearchBody = req.body;
 
-    chat_history = chat_history.map((msg: any) => {
+    const chatHistory = body.chatHistory.map((msg: any) => {
       if (msg.role === 'user') {
         return new HumanMessage(msg.content);
       } else if (msg.role === 'assistant') {
@@ -19,22 +33,50 @@ router.post('/', async (req, res) => {
       }
     });
 
-    const chatModels = await getAvailableChatModelProviders();
-    const provider = chat_model_provider ?? Object.keys(chatModels)[0];
-    const chatModel = chat_model ?? Object.keys(chatModels[provider])[0];
+    const chatModelProviders = await getAvailableChatModelProviders();
+
+    const chatModelProvider =
+      body.chatModel?.provider || Object.keys(chatModelProviders)[0];
+    const chatModel =
+      body.chatModel?.model ||
+      Object.keys(chatModelProviders[chatModelProvider])[0];
 
     let llm: BaseChatModel | undefined;
 
-    if (chatModels[provider] && chatModels[provider][chatModel]) {
-      llm = chatModels[provider][chatModel].model as BaseChatModel | undefined;
+    if (body.chatModel?.provider === 'custom_openai') {
+      if (
+        !body.chatModel?.customOpenAIBaseURL ||
+        !body.chatModel?.customOpenAIKey
+      ) {
+        return res
+          .status(400)
+          .json({ message: 'Missing custom OpenAI base URL or key' });
+      }
+
+      llm = new ChatOpenAI({
+        modelName: body.chatModel.model,
+        openAIApiKey: body.chatModel.customOpenAIKey,
+        temperature: 0.7,
+        configuration: {
+          baseURL: body.chatModel.customOpenAIBaseURL,
+        },
+      }) as unknown as BaseChatModel;
+    } else if (
+      chatModelProviders[chatModelProvider] &&
+      chatModelProviders[chatModelProvider][chatModel]
+    ) {
+      llm = chatModelProviders[chatModelProvider][chatModel]
+        .model as unknown as BaseChatModel | undefined;
     }
 
     if (!llm) {
-      res.status(500).json({ message: 'Invalid LLM model selected' });
-      return;
+      return res.status(400).json({ message: 'Invalid model selected' });
     }
 
-    const images = await handleImageSearch({ query, chat_history }, llm);
+    const images = await handleImageSearch(
+      { query: body.query, chat_history: chatHistory },
+      llm,
+    );
 
     res.status(200).json({ images });
   } catch (err) {

src/routes/index.ts

@@ -6,6 +6,7 @@ import modelsRouter from './models';
 import suggestionsRouter from './suggestions';
 import chatsRouter from './chats';
 import searchRouter from './search';
+import discoverRouter from './discover';
 
 const router = express.Router();
 
@@ -16,5 +17,6 @@ router.use('/models', modelsRouter);
 router.use('/suggestions', suggestionsRouter);
 router.use('/chats', chatsRouter);
 router.use('/search', searchRouter);
+router.use('/discover', discoverRouter);
 
 export default router;

src/routes/models.ts

@@ -14,6 +14,18 @@ router.get('/', async (req, res) => {
       getAvailableEmbeddingModelProviders(),
     ]);
 
+    Object.keys(chatModelProviders).forEach((provider) => {
+      Object.keys(chatModelProviders[provider]).forEach((model) => {
+        delete chatModelProviders[provider][model].model;
+      });
+    });
+
+    Object.keys(embeddingModelProviders).forEach((provider) => {
+      Object.keys(embeddingModelProviders[provider]).forEach((model) => {
+        delete embeddingModelProviders[provider][model].model;
+      });
+    });
+
     res.status(200).json({ chatModelProviders, embeddingModelProviders });
   } catch (err) {
     res.status(500).json({ message: 'An error has occurred.' });

src/routes/search.ts

@@ -25,6 +25,7 @@ interface embeddingModel {
 }
 
 interface ChatRequestBody {
+  optimizationMode: 'speed' | 'balanced';
   focusMode: string;
   chatModel?: chatModel;
   embeddingModel?: embeddingModel;
@@ -41,6 +42,7 @@ router.post('/', async (req, res) => {
     }
 
     body.history = body.history || [];
+    body.optimizationMode = body.optimizationMode || 'balanced';
 
     const history: BaseMessage[] = body.history.map((msg) => {
       if (msg[0] === 'human') {
@@ -119,7 +121,13 @@ router.post('/', async (req, res) => {
       return res.status(400).json({ message: 'Invalid focus mode' });
     }
 
-    const emitter = searchHandler(body.query, history, llm, embeddings);
+    const emitter = searchHandler(
+      body.query,
+      history,
+      llm,
+      embeddings,
+      body.optimizationMode,
+    );
 
     let message = '';
     let sources = [];

src/routes/suggestions.ts

@@ -4,14 +4,27 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { getAvailableChatModelProviders } from '../lib/providers';
 import { HumanMessage, AIMessage } from '@langchain/core/messages';
 import logger from '../utils/logger';
+import { ChatOpenAI } from '@langchain/openai';
 
 const router = express.Router();
 
+interface ChatModel {
+  provider: string;
+  model: string;
+  customOpenAIBaseURL?: string;
+  customOpenAIKey?: string;
+}
+
+interface SuggestionsBody {
+  chatHistory: any[];
+  chatModel?: ChatModel;
+}
+
 router.post('/', async (req, res) => {
   try {
-    let { chat_history, chat_model, chat_model_provider } = req.body;
+    let body: SuggestionsBody = req.body;
 
-    chat_history = chat_history.map((msg: any) => {
+    const chatHistory = body.chatHistory.map((msg: any) => {
       if (msg.role === 'user') {
         return new HumanMessage(msg.content);
       } else if (msg.role === 'assistant') {
@@ -19,22 +32,50 @@ router.post('/', async (req, res) => {
       }
     });
 
-    const chatModels = await getAvailableChatModelProviders();
-    const provider = chat_model_provider ?? Object.keys(chatModels)[0];
-    const chatModel = chat_model ?? Object.keys(chatModels[provider])[0];
+    const chatModelProviders = await getAvailableChatModelProviders();
+
+    const chatModelProvider =
+      body.chatModel?.provider || Object.keys(chatModelProviders)[0];
+    const chatModel =
+      body.chatModel?.model ||
+      Object.keys(chatModelProviders[chatModelProvider])[0];
 
     let llm: BaseChatModel | undefined;
 
-    if (chatModels[provider] && chatModels[provider][chatModel]) {
-      llm = chatModels[provider][chatModel].model as BaseChatModel | undefined;
+    if (body.chatModel?.provider === 'custom_openai') {
+      if (
+        !body.chatModel?.customOpenAIBaseURL ||
+        !body.chatModel?.customOpenAIKey
+      ) {
+        return res
+          .status(400)
+          .json({ message: 'Missing custom OpenAI base URL or key' });
+      }
+
+      llm = new ChatOpenAI({
+        modelName: body.chatModel.model,
+        openAIApiKey: body.chatModel.customOpenAIKey,
+        temperature: 0.7,
+        configuration: {
+          baseURL: body.chatModel.customOpenAIBaseURL,
+        },
+      }) as unknown as BaseChatModel;
+    } else if (
+      chatModelProviders[chatModelProvider] &&
+      chatModelProviders[chatModelProvider][chatModel]
+    ) {
+      llm = chatModelProviders[chatModelProvider][chatModel]
+        .model as unknown as BaseChatModel | undefined;
     }
 
     if (!llm) {
-      res.status(500).json({ message: 'Invalid LLM model selected' });
-      return;
+      return res.status(400).json({ message: 'Invalid model selected' });
     }
 
-    const suggestions = await generateSuggestions({ chat_history }, llm);
+    const suggestions = await generateSuggestions(
+      { chat_history: chatHistory },
+      llm,
+    );
 
     res.status(200).json({ suggestions: suggestions });
   } catch (err) {

src/routes/videos.ts

@@ -4,14 +4,28 @@ import { getAvailableChatModelProviders } from '../lib/providers';
 import { HumanMessage, AIMessage } from '@langchain/core/messages';
 import logger from '../utils/logger';
 import handleVideoSearch from '../agents/videoSearchAgent';
+import { ChatOpenAI } from '@langchain/openai';
 
 const router = express.Router();
 
+interface ChatModel {
+  provider: string;
+  model: string;
+  customOpenAIBaseURL?: string;
+  customOpenAIKey?: string;
+}
+
+interface VideoSearchBody {
+  query: string;
+  chatHistory: any[];
+  chatModel?: ChatModel;
+}
+
 router.post('/', async (req, res) => {
   try {
-    let { query, chat_history, chat_model_provider, chat_model } = req.body;
+    let body: VideoSearchBody = req.body;
 
-    chat_history = chat_history.map((msg: any) => {
+    const chatHistory = body.chatHistory.map((msg: any) => {
       if (msg.role === 'user') {
         return new HumanMessage(msg.content);
       } else if (msg.role === 'assistant') {
@@ -19,22 +33,50 @@ router.post('/', async (req, res) => {
       }
     });
 
-    const chatModels = await getAvailableChatModelProviders();
-    const provider = chat_model_provider ?? Object.keys(chatModels)[0];
-    const chatModel = chat_model ?? Object.keys(chatModels[provider])[0];
+    const chatModelProviders = await getAvailableChatModelProviders();
+
+    const chatModelProvider =
+      body.chatModel?.provider || Object.keys(chatModelProviders)[0];
+    const chatModel =
+      body.chatModel?.model ||
+      Object.keys(chatModelProviders[chatModelProvider])[0];
 
     let llm: BaseChatModel | undefined;
 
-    if (chatModels[provider] && chatModels[provider][chatModel]) {
-      llm = chatModels[provider][chatModel].model as BaseChatModel | undefined;
+    if (body.chatModel?.provider === 'custom_openai') {
+      if (
+        !body.chatModel?.customOpenAIBaseURL ||
+        !body.chatModel?.customOpenAIKey
+      ) {
+        return res
+          .status(400)
+          .json({ message: 'Missing custom OpenAI base URL or key' });
+      }
+
+      llm = new ChatOpenAI({
+        modelName: body.chatModel.model,
+        openAIApiKey: body.chatModel.customOpenAIKey,
+        temperature: 0.7,
+        configuration: {
+          baseURL: body.chatModel.customOpenAIBaseURL,
+        },
+      }) as unknown as BaseChatModel;
+    } else if (
+      chatModelProviders[chatModelProvider] &&
+      chatModelProviders[chatModelProvider][chatModel]
+    ) {
+      llm = chatModelProviders[chatModelProvider][chatModel]
+        .model as unknown as BaseChatModel | undefined;
     }
 
     if (!llm) {
-      res.status(500).json({ message: 'Invalid LLM model selected' });
-      return;
+      return res.status(400).json({ message: 'Invalid model selected' });
     }
 
-    const videos = await handleVideoSearch({ chat_history, query }, llm);
+    const videos = await handleVideoSearch(
+      { chat_history: chatHistory, query: body.query },
+      llm,
+    );
 
     res.status(200).json({ videos });
   } catch (err) {

src/websocket/connectionManager.ts

@@ -78,6 +78,18 @@ export const handleConnection = async (
       ws.close();
     }
 
+    const interval = setInterval(() => {
+      if (ws.readyState === ws.OPEN) {
+        ws.send(
+          JSON.stringify({
+            type: 'signal',
+            data: 'open',
+          }),
+        );
+        clearInterval(interval);
+      }
+    }, 5);
+
     ws.on(
       'message',
       async (message) =>

src/websocket/messageHandler.ts

@@ -10,8 +10,8 @@ import type { BaseChatModel } from '@langchain/core/language_models/chat_models'
 import type { Embeddings } from '@langchain/core/embeddings';
 import logger from '../utils/logger';
 import db from '../db';
-import { chats, messages } from '../db/schema';
-import { eq } from 'drizzle-orm';
+import { chats, messages as messagesSchema } from '../db/schema';
+import { eq, asc, gt } from 'drizzle-orm';
 import crypto from 'crypto';
 
 type Message = {
@@ -22,7 +22,7 @@ type Message = {
 
 type WSMessage = {
   message: Message;
-  copilot: boolean;
+  optimizationMode: string;
   type: string;
   focusMode: string;
   history: Array<[string, string]>;
@@ -71,7 +71,7 @@ const handleEmitterEvents = (
   emitter.on('end', () => {
     ws.send(JSON.stringify({ type: 'messageEnd', messageId: messageId }));
 
-    db.insert(messages)
+    db.insert(messagesSchema)
       .values({
         content: recievedMessage,
         chatId: chatId,
@@ -106,7 +106,9 @@ export const handleMessage = async (
     const parsedWSMessage = JSON.parse(message) as WSMessage;
     const parsedMessage = parsedWSMessage.message;
 
-    const id = crypto.randomBytes(7).toString('hex');
+    const humanMessageId =
+      parsedMessage.messageId ?? crypto.randomBytes(7).toString('hex');
+    const aiMessageId = crypto.randomBytes(7).toString('hex');
 
     if (!parsedMessage.content)
       return ws.send(
@@ -138,9 +140,10 @@ export const handleMessage = async (
           history,
           llm,
           embeddings,
+          parsedWSMessage.optimizationMode,
         );
 
-        handleEmitterEvents(emitter, ws, id, parsedMessage.chatId);
+        handleEmitterEvents(emitter, ws, aiMessageId, parsedMessage.chatId);
 
         const chat = await db.query.chats.findFirst({
           where: eq(chats.id, parsedMessage.chatId),
@@ -158,18 +161,29 @@ export const handleMessage = async (
             .execute();
         }
 
-        await db
-          .insert(messages)
-          .values({
-            content: parsedMessage.content,
-            chatId: parsedMessage.chatId,
-            messageId: id,
-            role: 'user',
-            metadata: JSON.stringify({
-              createdAt: new Date(),
-            }),
-          })
-          .execute();
+        const messageExists = await db.query.messages.findFirst({
+          where: eq(messagesSchema.messageId, humanMessageId),
+        });
+
+        if (!messageExists) {
+          await db
+            .insert(messagesSchema)
+            .values({
+              content: parsedMessage.content,
+              chatId: parsedMessage.chatId,
+              messageId: humanMessageId,
+              role: 'user',
+              metadata: JSON.stringify({
+                createdAt: new Date(),
+              }),
+            })
+            .execute();
+        } else {
+          await db
+            .delete(messagesSchema)
+            .where(gt(messagesSchema.id, messageExists.id))
+            .execute();
+        }
       } else {
         ws.send(
           JSON.stringify({

ui/app/discover/page.tsx

@@ -0,0 +1,112 @@
+'use client';
+
+import { Search } from 'lucide-react';
+import { useEffect, useState } from 'react';
+import Link from 'next/link';
+import { toast } from 'sonner';
+
+interface Discover {
+  title: string;
+  content: string;
+  url: string;
+  thumbnail: string;
+}
+
+const Page = () => {
+  const [discover, setDiscover] = useState<Discover[] | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    const fetchData = async () => {
+      try {
+        const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/discover`, {
+          method: 'GET',
+          headers: {
+            'Content-Type': 'application/json',
+          },
+        });
+
+        const data = await res.json();
+
+        if (!res.ok) {
+          throw new Error(data.message);
+        }
+
+        data.blogs = data.blogs.filter((blog: Discover) => blog.thumbnail);
+
+        setDiscover(data.blogs);
+      } catch (err: any) {
+        console.error('Error fetching data:', err.message);
+        toast.error('Error fetching data');
+      } finally {
+        setLoading(false);
+      }
+    };
+
+    fetchData();
+  }, []);
+
+  return loading ? (
+    <div className="flex flex-row items-center justify-center min-h-screen">
+      <svg
+        aria-hidden="true"
+        className="w-8 h-8 text-light-200 fill-light-secondary dark:text-[#202020] animate-spin dark:fill-[#ffffff3b]"
+        viewBox="0 0 100 101"
+        fill="none"
+        xmlns="http://www.w3.org/2000/svg"
+      >
+        <path
+          d="M100 50.5908C100.003 78.2051 78.1951 100.003 50.5908 100C22.9765 99.9972 0.997224 78.018 1 50.4037C1.00281 22.7993 22.8108 0.997224 50.4251 1C78.0395 1.00281 100.018 22.8108 100 50.4251ZM9.08164 50.594C9.06312 73.3997 27.7909 92.1272 50.5966 92.1457C73.4023 92.1642 92.1298 73.4365 92.1483 50.6308C92.1669 27.8251 73.4392 9.0973 50.6335 9.07878C27.8278 9.06026 9.10003 27.787 9.08164 50.594Z"
+          fill="currentColor"
+        />
+        <path
+          d="M93.9676 39.0409C96.393 38.4037 97.8624 35.9116 96.9801 33.5533C95.1945 28.8227 92.871 24.3692 90.0681 20.348C85.6237 14.1775 79.4473 9.36872 72.0454 6.45794C64.6435 3.54717 56.3134 2.65431 48.3133 3.89319C45.869 4.27179 44.3768 6.77534 45.014 9.20079C45.6512 11.6262 48.1343 13.0956 50.5786 12.717C56.5073 11.8281 62.5542 12.5399 68.0406 14.7911C73.527 17.0422 78.2187 20.7487 81.5841 25.4923C83.7976 28.5886 85.4467 32.059 86.4416 35.7474C87.1273 38.1189 89.5423 39.6781 91.9676 39.0409Z"
+          fill="currentFill"
+        />
+      </svg>
+    </div>
+  ) : (
+    <>
+      <div>
+        <div className="flex flex-col pt-4">
+          <div className="flex items-center">
+            <Search />
+            <h1 className="text-3xl font-medium p-2">Discover</h1>
+          </div>
+          <hr className="border-t border-[#2B2C2C] my-4 w-full" />
+        </div>
+
+        <div className="grid lg:grid-cols-3 sm:grid-cols-2 grid-cols-1 gap-4 pb-28 lg:pb-8 w-full justify-items-center lg:justify-items-start">
+          {discover &&
+            discover?.map((item, i) => (
+              <Link
+                href={`/?q=Summary: ${item.url}`}
+                key={i}
+                className="max-w-sm rounded-lg overflow-hidden bg-light-secondary dark:bg-dark-secondary hover:-translate-y-[1px] transition duration-200"
+              >
+                <img
+                  className="object-cover w-full aspect-video"
+                  src={
+                    new URL(item.thumbnail).origin +
+                    new URL(item.thumbnail).pathname +
+                    `?id=${new URL(item.thumbnail).searchParams.get('id')}`
+                  }
+                  alt={item.title}
+                />
+                <div className="px-6 py-4">
+                  <div className="font-bold text-lg mb-2">
+                    {item.title.slice(0, 100)}...
+                  </div>
+                  <p className="text-black-70 dark:text-white/70 text-sm">
+                    {item.content.slice(0, 100)}...
+                  </p>
+                </div>
+              </Link>
+            ))}
+        </div>
+      </div>
+    </>
+  );
+};
+
+export default Page;

ui/app/library/page.tsx

@@ -1,7 +1,7 @@
 'use client';
 
 import DeleteChat from '@/components/DeleteChat';
-import { formatTimeDifference } from '@/lib/utils';
+import { cn, formatTimeDifference } from '@/lib/utils';
 import { BookOpenText, ClockIcon, Delete, ScanEye } from 'lucide-react';
 import Link from 'next/link';
 import { useEffect, useState } from 'react';
@@ -58,13 +58,12 @@ const Page = () => {
     </div>
   ) : (
     <div>
-      <div className="fixed z-40 top-0 left-0 right-0 lg:pl-[104px] lg:pr-6 lg:px-8 px-4 py-4 lg:py-6 border-b border-light-200 dark:border-dark-200">
-        <div className="flex flex-row items-center space-x-2 max-w-screen-lg lg:mx-auto">
+      <div className="flex flex-col pt-4">
+        <div className="flex items-center">
           <BookOpenText />
-          <h2 className="text-black dark:text-white lg:text-3xl lg:font-medium">
-            Library
-          </h2>
+          <h1 className="text-3xl font-medium p-2">Library</h1>
         </div>
+        <hr className="border-t border-[#2B2C2C] my-4 w-full" />
       </div>
       {chats.length === 0 && (
         <div className="flex flex-row items-center justify-center min-h-screen">
@@ -74,10 +73,15 @@ const Page = () => {
         </div>
       )}
       {chats.length > 0 && (
-        <div className="flex flex-col pt-16 lg:pt-24">
+        <div className="flex flex-col pb-20 lg:pb-2">
           {chats.map((chat, i) => (
             <div
-              className="flex flex-col space-y-4 border-b border-white-200 dark:border-dark-200 py-6 lg:mx-4"
+              className={cn(
+                'flex flex-col space-y-4 py-6',
+                i !== chats.length - 1
+                  ? 'border-b border-white-200 dark:border-dark-200'
+                  : '',
+              )}
               key={i}
             >
               <Link

ui/components/ChatWindow.tsx

@@ -171,11 +171,22 @@ const useSocket = (
           }
         }, 10000);
 
-        ws.onopen = () => {
-          console.log('[DEBUG] open');
-          clearTimeout(timeoutId);
-          setIsWSReady(true);
-        };
+        ws.addEventListener('message', (e) => {
+          const data = JSON.parse(e.data);
+          if (data.type === 'signal' && data.data === 'open') {
+            const interval = setInterval(() => {
+              if (ws.readyState === 1) {
+                setIsWSReady(true);
+                clearInterval(interval);
+              }
+            }, 5);
+            clearTimeout(timeoutId);
+            console.log('[DEBUG] opened');
+          }
+          if (data.type === 'error') {
+            toast.error(data.data);
+          }
+        });
 
         ws.onerror = () => {
           clearTimeout(timeoutId);
@@ -189,13 +200,6 @@ const useSocket = (
           console.log('[DEBUG] closed');
         };
 
-        ws.addEventListener('message', (e) => {
-          const data = JSON.parse(e.data);
-          if (data.type === 'error') {
-            toast.error(data.data);
-          }
-        });
-
         setWs(ws);
       };
 
@@ -278,6 +282,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
   const [messages, setMessages] = useState<Message[]>([]);
 
   const [focusMode, setFocusMode] = useState('webSearch');
+  const [optimizationMode, setOptimizationMode] = useState('speed');
 
   const [isMessagesLoaded, setIsMessagesLoaded] = useState(false);
 
@@ -313,6 +318,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
         console.log('[DEBUG] closed');
       }
     };
+    // eslint-disable-next-line react-hooks/exhaustive-deps
   }, []);
 
   const messagesRef = useRef<Message[]>([]);
@@ -324,11 +330,13 @@ const ChatWindow = ({ id }: { id?: string }) => {
   useEffect(() => {
     if (isMessagesLoaded && isWSReady) {
       setIsReady(true);
+      console.log('[DEBUG] ready');
     }
   }, [isMessagesLoaded, isWSReady]);
 
-  const sendMessage = async (message: string) => {
+  const sendMessage = async (message: string, messageId?: string) => {
     if (loading) return;
+
     setLoading(true);
     setMessageAppeared(false);
 
@@ -336,16 +344,18 @@ const ChatWindow = ({ id }: { id?: string }) => {
     let recievedMessage = '';
     let added = false;
 
-    const messageId = crypto.randomBytes(7).toString('hex');
+    messageId = messageId ?? crypto.randomBytes(7).toString('hex');
 
     ws?.send(
       JSON.stringify({
         type: 'message',
         message: {
+          messageId: messageId,
           chatId: chatId!,
           content: message,
         },
         focusMode: focusMode,
+        optimizationMode: optimizationMode,
         history: [...chatHistory, ['human', message]],
       }),
     );
@@ -467,15 +477,15 @@ const ChatWindow = ({ id }: { id?: string }) => {
       return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
     });
 
-    sendMessage(message.content);
+    sendMessage(message.content, message.messageId);
   };
 
   useEffect(() => {
-    if (isReady && initialMessage) {
+    if (isReady && initialMessage && ws?.readyState === 1) {
       sendMessage(initialMessage);
     }
     // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [isReady, initialMessage]);
+  }, [ws?.readyState, isReady, initialMessage, isWSReady]);
 
   if (hasError) {
     return (
@@ -494,7 +504,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
       <div>
         {messages.length > 0 ? (
           <>
-            <Navbar messages={messages} />
+            <Navbar chatId={chatId!} messages={messages} />
             <Chat
               loading={loading}
               messages={messages}
@@ -508,6 +518,8 @@ const ChatWindow = ({ id }: { id?: string }) => {
             sendMessage={sendMessage}
             focusMode={focusMode}
             setFocusMode={setFocusMode}
+            optimizationMode={optimizationMode}
+            setOptimizationMode={setOptimizationMode}
           />
         )}
       </div>

ui/components/DeleteChat.tsx

@@ -1,5 +1,13 @@
-import { Delete, Trash } from 'lucide-react';
-import { Dialog, Transition } from '@headlessui/react';
+import { Trash } from 'lucide-react';
+import {
+  Description,
+  Dialog,
+  DialogBackdrop,
+  DialogPanel,
+  DialogTitle,
+  Transition,
+  TransitionChild,
+} from '@headlessui/react';
 import { Fragment, useState } from 'react';
 import { toast } from 'sonner';
 import { Chat } from '@/app/library/page';
@@ -8,10 +16,12 @@ const DeleteChat = ({
   chatId,
   chats,
   setChats,
+  redirect = false,
 }: {
   chatId: string;
   chats: Chat[];
   setChats: (chats: Chat[]) => void;
+  redirect?: boolean;
 }) => {
   const [confirmationDialogOpen, setConfirmationDialogOpen] = useState(false);
   const [loading, setLoading] = useState(false);
@@ -36,6 +46,10 @@ const DeleteChat = ({
       const newChats = chats.filter((chat) => chat.id !== chatId);
 
       setChats(newChats);
+
+      if (redirect) {
+        window.location.href = '/';
+      }
     } catch (err: any) {
       toast.error(err.message);
     } finally {
@@ -64,10 +78,10 @@ const DeleteChat = ({
             }
           }}
         >
-          <Dialog.Backdrop className="fixed inset-0 bg-black/30" />
+          <DialogBackdrop className="fixed inset-0 bg-black/30" />
           <div className="fixed inset-0 overflow-y-auto">
             <div className="flex min-h-full items-center justify-center p-4 text-center">
-              <Transition.Child
+              <TransitionChild
                 as={Fragment}
                 enter="ease-out duration-200"
                 enterFrom="opacity-0 scale-95"
@@ -76,13 +90,13 @@ const DeleteChat = ({
                 leaveFrom="opacity-100 scale-200"
                 leaveTo="opacity-0 scale-95"
               >
-                <Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
-                  <Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
+                <DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
+                  <DialogTitle className="text-lg font-medium leading-6 dark:text-white">
                     Delete Confirmation
-                  </Dialog.Title>
-                  <Dialog.Description className="text-sm dark:text-white/70 text-black/70">
+                  </DialogTitle>
+                  <Description className="text-sm dark:text-white/70 text-black/70">
                     Are you sure you want to delete this chat?
-                  </Dialog.Description>
+                  </Description>
                   <div className="flex flex-row items-end justify-end space-x-4 mt-6">
                     <button
                       onClick={() => {
@@ -101,8 +115,8 @@ const DeleteChat = ({
                       Delete
                     </button>
                   </div>
-                </Dialog.Panel>
-              </Transition.Child>
+                </DialogPanel>
+              </TransitionChild>
             </div>
           </div>
         </Dialog>

ui/components/EmptyChat.tsx

@@ -1,16 +1,32 @@
+import { Settings } from 'lucide-react';
 import EmptyChatMessageInput from './EmptyChatMessageInput';
+import SettingsDialog from './SettingsDialog';
+import { useState } from 'react';
 
 const EmptyChat = ({
   sendMessage,
   focusMode,
   setFocusMode,
+  optimizationMode,
+  setOptimizationMode,
 }: {
   sendMessage: (message: string) => void;
   focusMode: string;
   setFocusMode: (mode: string) => void;
+  optimizationMode: string;
+  setOptimizationMode: (mode: string) => void;
 }) => {
+  const [isSettingsOpen, setIsSettingsOpen] = useState(false);
+
   return (
     <div className="relative">
+      <SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen} />
+      <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 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">
           Research begins here.
@@ -19,6 +35,8 @@ const EmptyChat = ({
           sendMessage={sendMessage}
           focusMode={focusMode}
           setFocusMode={setFocusMode}
+          optimizationMode={optimizationMode}
+          setOptimizationMode={setOptimizationMode}
         />
       </div>
     </div>

ui/components/EmptyChatMessageInput.tsx

@@ -3,15 +3,20 @@ import { useEffect, useRef, useState } from 'react';
 import TextareaAutosize from 'react-textarea-autosize';
 import CopilotToggle from './MessageInputActions/Copilot';
 import Focus from './MessageInputActions/Focus';
+import Optimization from './MessageInputActions/Optimization';
 
 const EmptyChatMessageInput = ({
   sendMessage,
   focusMode,
   setFocusMode,
+  optimizationMode,
+  setOptimizationMode,
 }: {
   sendMessage: (message: string) => void;
   focusMode: string;
   setFocusMode: (mode: string) => void;
+  optimizationMode: string;
+  setOptimizationMode: (mode: string) => void;
 }) => {
   const [copilotEnabled, setCopilotEnabled] = useState(false);
   const [message, setMessage] = useState('');
@@ -66,14 +71,13 @@ const EmptyChatMessageInput = ({
           placeholder="Ask anything..."
         />
         <div className="flex flex-row items-center justify-between mt-4">
-          <div className="flex flex-row items-center space-x-1 -mx-2">
+          <div className="flex flex-row items-center space-x-4">
             <Focus focusMode={focusMode} setFocusMode={setFocusMode} />
-            {/* <Attach /> */}
           </div>
-          <div className="flex flex-row items-center space-x-4 -mx-2">
-            <CopilotToggle
-              copilotEnabled={copilotEnabled}
-              setCopilotEnabled={setCopilotEnabled}
+          <div className="flex flex-row items-center space-x-1 sm:space-x-4">
+            <Optimization
+              optimizationMode={optimizationMode}
+              setOptimizationMode={setOptimizationMode}
             />
             <button
               disabled={message.trim().length === 0}

ui/components/MessageBox.tsx

@@ -186,10 +186,10 @@ const MessageBox = ({
           <div className="lg:sticky lg:top-20 flex flex-col items-center space-y-3 w-full lg:w-3/12 z-30 h-full pb-4">
             <SearchImages
               query={history[messageIndex - 1].content}
-              chat_history={history.slice(0, messageIndex - 1)}
+              chatHistory={history.slice(0, messageIndex - 1)}
             />
             <SearchVideos
-              chat_history={history.slice(0, messageIndex - 1)}
+              chatHistory={history.slice(0, messageIndex - 1)}
               query={history[messageIndex - 1].content}
             />
           </div>

ui/components/MessageInputActions/Focus.tsx

@@ -7,7 +7,12 @@ import {
   SwatchBook,
 } from 'lucide-react';
 import { cn } from '@/lib/utils';
-import { Popover, Transition } from '@headlessui/react';
+import {
+  Popover,
+  PopoverButton,
+  PopoverPanel,
+  Transition,
+} from '@headlessui/react';
 import { SiReddit, SiYoutube } from '@icons-pack/react-simple-icons';
 import { Fragment } from 'react';
 
@@ -70,10 +75,10 @@ const Focus = ({
   setFocusMode: (mode: string) => void;
 }) => {
   return (
-    <Popover className="fixed w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
-      <Popover.Button
+    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
+      <PopoverButton
         type="button"
-        className="p-2 text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
+        className=" text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
       >
         {focusMode !== 'webSearch' ? (
           <div className="flex flex-row items-center space-x-1">
@@ -86,7 +91,7 @@ const Focus = ({
         ) : (
           <ScanEye />
         )}
-      </Popover.Button>
+      </PopoverButton>
       <Transition
         as={Fragment}
         enter="transition ease-out duration-150"
@@ -96,10 +101,10 @@ const Focus = ({
         leaveFrom="opacity-100 translate-y-0"
         leaveTo="opacity-0 translate-y-1"
       >
-        <Popover.Panel className="absolute z-10 w-full">
-          <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-1 bg-light-primary dark:bg-dark-primary border rounded-lg border-light-200 dark:border-dark-200 w-full p-2 max-h-[200px] md:max-h-none overflow-y-auto">
+        <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">
             {focusModes.map((mode, i) => (
-              <Popover.Button
+              <PopoverButton
                 onClick={() => setFocusMode(mode.key)}
                 key={i}
                 className={cn(
@@ -123,10 +128,10 @@ const Focus = ({
                 <p className="text-black/70 dark:text-white/70 text-xs">
                   {mode.description}
                 </p>
-              </Popover.Button>
+              </PopoverButton>
             ))}
           </div>
-        </Popover.Panel>
+        </PopoverPanel>
       </Transition>
     </Popover>
   );

ui/components/MessageInputActions/Optimization.tsx

@@ -0,0 +1,104 @@
+import { ChevronDown, Sliders, Star, Zap } from 'lucide-react';
+import { cn } from '@/lib/utils';
+import {
+  Popover,
+  PopoverButton,
+  PopoverPanel,
+  Transition,
+} from '@headlessui/react';
+import { Fragment } from 'react';
+
+const OptimizationModes = [
+  {
+    key: 'speed',
+    title: 'Speed',
+    description: 'Prioritize speed and get the quickest possible answer.',
+    icon: <Zap size={20} className="text-[#FF9800]" />,
+  },
+  {
+    key: 'balanced',
+    title: 'Balanced',
+    description: 'Find the right balance between speed and accuracy',
+    icon: <Sliders size={20} className="text-[#4CAF50]" />,
+  },
+  {
+    key: 'quality',
+    title: 'Quality (Soon)',
+    description: 'Get the most thorough and accurate answer',
+    icon: (
+      <Star
+        size={16}
+        className="text-[#2196F3] dark:text-[#BBDEFB] fill-[#BBDEFB] dark:fill-[#2196F3]"
+      />
+    ),
+  },
+];
+
+const Optimization = ({
+  optimizationMode,
+  setOptimizationMode,
+}: {
+  optimizationMode: string;
+  setOptimizationMode: (mode: string) => void;
+}) => {
+  return (
+    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
+      <PopoverButton
+        type="button"
+        className="p-2 text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
+      >
+        <div className="flex flex-row items-center space-x-1">
+          {
+            OptimizationModes.find((mode) => mode.key === optimizationMode)
+              ?.icon
+          }
+          <p className="text-xs font-medium">
+            {
+              OptimizationModes.find((mode) => mode.key === optimizationMode)
+                ?.title
+            }
+          </p>
+          <ChevronDown size={20} />
+        </div>
+      </PopoverButton>
+      <Transition
+        as={Fragment}
+        enter="transition ease-out duration-150"
+        enterFrom="opacity-0 translate-y-1"
+        enterTo="opacity-100 translate-y-0"
+        leave="transition ease-in duration-150"
+        leaveFrom="opacity-100 translate-y-0"
+        leaveTo="opacity-0 translate-y-1"
+      >
+        <PopoverPanel className="absolute z-10 w-64 md:w-[250px] right-0">
+          <div className="flex flex-col 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">
+            {OptimizationModes.map((mode, i) => (
+              <PopoverButton
+                onClick={() => setOptimizationMode(mode.key)}
+                key={i}
+                disabled={mode.key === 'quality'}
+                className={cn(
+                  'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-1 duration-200 cursor-pointer transition',
+                  optimizationMode === mode.key
+                    ? 'bg-light-secondary dark:bg-dark-secondary'
+                    : 'hover:bg-light-secondary dark:hover:bg-dark-secondary',
+                  mode.key === 'quality' && 'opacity-50 cursor-not-allowed',
+                )}
+              >
+                <div className="flex flex-row items-center space-x-1 text-black dark:text-white">
+                  {mode.icon}
+                  <p className="text-sm font-medium">{mode.title}</p>
+                </div>
+                <p className="text-black/70 dark:text-white/70 text-xs">
+                  {mode.description}
+                </p>
+              </PopoverButton>
+            ))}
+          </div>
+        </PopoverPanel>
+      </Transition>
+    </Popover>
+  );
+};
+
+export default Optimization;

ui/components/MessageSources.tsx

@@ -1,5 +1,11 @@
 /* eslint-disable @next/next/no-img-element */
-import { Dialog, Transition } from '@headlessui/react';
+import {
+  Dialog,
+  DialogPanel,
+  DialogTitle,
+  Transition,
+  TransitionChild,
+} from '@headlessui/react';
 import { Document } from '@langchain/core/documents';
 import { Fragment, useState } from 'react';
 
@@ -74,7 +80,7 @@ const MessageSources = ({ sources }: { sources: Document[] }) => {
         <Dialog as="div" className="relative z-50" onClose={closeModal}>
           <div className="fixed inset-0 overflow-y-auto">
             <div className="flex min-h-full items-center justify-center p-4 text-center">
-              <Transition.Child
+              <TransitionChild
                 as={Fragment}
                 enter="ease-out duration-200"
                 enterFrom="opacity-0 scale-95"
@@ -83,10 +89,10 @@ const MessageSources = ({ sources }: { sources: Document[] }) => {
                 leaveFrom="opacity-100 scale-200"
                 leaveTo="opacity-0 scale-95"
               >
-                <Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
-                  <Dialog.Title className="text-lg font-medium leading-6 dark:text-white">
+                <DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
+                  <DialogTitle className="text-lg font-medium leading-6 dark:text-white">
                     Sources
-                  </Dialog.Title>
+                  </DialogTitle>
                   <div className="grid grid-cols-2 gap-2 overflow-auto max-h-[300px] mt-2 pr-2">
                     {sources.map((source, i) => (
                       <a
@@ -122,8 +128,8 @@ const MessageSources = ({ sources }: { sources: Document[] }) => {
                       </a>
                     ))}
                   </div>
-                </Dialog.Panel>
-              </Transition.Child>
+                </DialogPanel>
+              </TransitionChild>
             </div>
           </div>
         </Dialog>

ui/components/Navbar.tsx

@@ -2,8 +2,15 @@ import { Clock, Edit, Share, Trash } from 'lucide-react';
 import { Message } from './ChatWindow';
 import { useEffect, useState } from 'react';
 import { formatTimeDifference } from '@/lib/utils';
+import DeleteChat from './DeleteChat';
 
-const Navbar = ({ messages }: { messages: Message[] }) => {
+const Navbar = ({
+  chatId,
+  messages,
+}: {
+  messages: Message[];
+  chatId: string;
+}) => {
   const [title, setTitle] = useState<string>('');
   const [timeAgo, setTimeAgo] = useState<string>('');
 
@@ -39,10 +46,12 @@ const Navbar = ({ messages }: { messages: Message[] }) => {
 
   return (
     <div className="fixed z-40 top-0 left-0 right-0 px-4 lg:pl-[104px] lg:pr-6 lg:px-8 flex flex-row items-center justify-between w-full py-4 text-sm text-black dark:text-white/70 border-b bg-light-primary dark:bg-dark-primary border-light-100 dark:border-dark-200">
-      <Edit
-        size={17}
+      <a
+        href="/"
         className="active:scale-95 transition duration-100 cursor-pointer lg:hidden"
-      />
+      >
+        <Edit size={17} />
+      </a>
       <div className="hidden lg:flex flex-row items-center justify-center space-x-2">
         <Clock size={17} />
         <p className="text-xs">{timeAgo} ago</p>
@@ -54,10 +63,7 @@ const Navbar = ({ messages }: { messages: Message[] }) => {
           size={17}
           className="active:scale-95 transition duration-100 cursor-pointer"
         />
-        <Trash
-          size={17}
-          className="text-red-400 active:scale-95 transition duration-100 cursor-pointer"
-        />
+        <DeleteChat redirect chatId={chatId} chats={[]} setChats={() => {}} />
       </div>
     </div>
   );

ui/components/SearchImages.tsx

@@ -13,10 +13,10 @@ type Image = {
 
 const SearchImages = ({
   query,
-  chat_history,
+  chatHistory,
 }: {
   query: string;
-  chat_history: Message[];
+  chatHistory: Message[];
 }) => {
   const [images, setImages] = useState<Image[] | null>(null);
   const [loading, setLoading] = useState(false);
@@ -33,6 +33,9 @@ const SearchImages = ({
             const chatModelProvider = localStorage.getItem('chatModelProvider');
             const chatModel = localStorage.getItem('chatModel');
 
+            const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
+            const customOpenAIKey = localStorage.getItem('openAIApiKey');
+
             const res = await fetch(
               `${process.env.NEXT_PUBLIC_API_URL}/images`,
               {
@@ -42,9 +45,15 @@ const SearchImages = ({
                 },
                 body: JSON.stringify({
                   query: query,
-                  chat_history: chat_history,
-                  chat_model_provider: chatModelProvider,
-                  chat_model: chatModel,
+                  chatHistory: chatHistory,
+                  chatModel: {
+                    provider: chatModelProvider,
+                    model: chatModel,
+                    ...(chatModelProvider === 'custom_openai' && {
+                      customOpenAIBaseURL: customOpenAIBaseURL,
+                      customOpenAIKey: customOpenAIKey,
+                    }),
+                  },
                 }),
               },
             );

ui/components/SearchVideos.tsx

@@ -26,10 +26,10 @@ declare module 'yet-another-react-lightbox' {
 
 const Searchvideos = ({
   query,
-  chat_history,
+  chatHistory,
 }: {
   query: string;
-  chat_history: Message[];
+  chatHistory: Message[];
 }) => {
   const [videos, setVideos] = useState<Video[] | null>(null);
   const [loading, setLoading] = useState(false);
@@ -46,6 +46,9 @@ const Searchvideos = ({
             const chatModelProvider = localStorage.getItem('chatModelProvider');
             const chatModel = localStorage.getItem('chatModel');
 
+            const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
+            const customOpenAIKey = localStorage.getItem('openAIApiKey');
+
             const res = await fetch(
               `${process.env.NEXT_PUBLIC_API_URL}/videos`,
               {
@@ -55,9 +58,15 @@ const Searchvideos = ({
                 },
                 body: JSON.stringify({
                   query: query,
-                  chat_history: chat_history,
-                  chat_model_provider: chatModelProvider,
-                  chat_model: chatModel,
+                  chatHistory: chatHistory,
+                  chatModel: {
+                    provider: chatModelProvider,
+                    model: chatModel,
+                    ...(chatModelProvider === 'custom_openai' && {
+                      customOpenAIBaseURL: customOpenAIBaseURL,
+                      customOpenAIKey: customOpenAIKey,
+                    }),
+                  },
                 }),
               },
             );

ui/components/SettingsDialog.tsx

@@ -1,5 +1,11 @@
 import { cn } from '@/lib/utils';
-import { Dialog, Transition } from '@headlessui/react';
+import {
+  Dialog,
+  DialogPanel,
+  DialogTitle,
+  Transition,
+  TransitionChild,
+} from '@headlessui/react';
 import { CloudUpload, RefreshCcw, RefreshCw } from 'lucide-react';
 import React, {
   Fragment,
@@ -122,7 +128,9 @@ const SettingsDialog = ({
         const chatModel =
           localStorage.getItem('chatModel') ||
           (data.chatModelProviders &&
-            data.chatModelProviders[chatModelProvider]?.[0].name) ||
+          data.chatModelProviders[chatModelProvider]?.length > 0
+            ? data.chatModelProviders[chatModelProvider][0].name
+            : undefined) ||
           '';
         const embeddingModelProvider =
           localStorage.getItem('embeddingModelProvider') ||
@@ -188,7 +196,7 @@ const SettingsDialog = ({
         className="relative z-50"
         onClose={() => setIsOpen(false)}
       >
-        <Transition.Child
+        <TransitionChild
           as={Fragment}
           enter="ease-out duration-300"
           enterFrom="opacity-0"
@@ -198,10 +206,10 @@ const SettingsDialog = ({
           leaveTo="opacity-0"
         >
           <div className="fixed inset-0 bg-white/50 dark:bg-black/50" />
-        </Transition.Child>
+        </TransitionChild>
         <div className="fixed inset-0 overflow-y-auto">
           <div className="flex min-h-full items-center justify-center p-4 text-center">
-            <Transition.Child
+            <TransitionChild
               as={Fragment}
               enter="ease-out duration-200"
               enterFrom="opacity-0 scale-95"
@@ -210,10 +218,10 @@ const SettingsDialog = ({
               leaveFrom="opacity-100 scale-200"
               leaveTo="opacity-0 scale-95"
             >
-              <Dialog.Panel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
-                <Dialog.Title className="text-xl font-medium leading-6 dark:text-white">
+              <DialogPanel className="w-full max-w-md transform rounded-2xl bg-light-secondary dark:bg-dark-secondary border border-light-200 dark:border-dark-200 p-6 text-left align-middle shadow-xl transition-all">
+                <DialogTitle className="text-xl font-medium leading-6 dark:text-white">
                   Settings
-                </Dialog.Title>
+                </DialogTitle>
                 {config && !isLoading && (
                   <div className="flex flex-col space-y-4 mt-6">
                     <div className="flex flex-col space-y-1">
@@ -491,8 +499,8 @@ const SettingsDialog = ({
                     )}
                   </button>
                 </div>
-              </Dialog.Panel>
-            </Transition.Child>
+              </DialogPanel>
+            </TransitionChild>
           </div>
         </div>
       </Dialog>

ui/lib/actions.ts

@@ -4,15 +4,24 @@ export const getSuggestions = async (chatHisory: Message[]) => {
   const chatModel = localStorage.getItem('chatModel');
   const chatModelProvider = localStorage.getItem('chatModelProvider');
 
+  const customOpenAIKey = localStorage.getItem('openAIApiKey');
+  const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
+
   const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/suggestions`, {
     method: 'POST',
     headers: {
       'Content-Type': 'application/json',
     },
     body: JSON.stringify({
-      chat_history: chatHisory,
-      chat_model: chatModel,
-      chat_model_provider: chatModelProvider,
+      chatHistory: chatHisory,
+      chatModel: {
+        provider: chatModelProvider,
+        model: chatModel,
+        ...(chatModelProvider === 'custom_openai' && {
+          customOpenAIKey,
+          customOpenAIBaseURL,
+        }),
+      },
     }),
   });
 

ui/package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.9.0-rc3",
+  "version": "1.9.2",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
@@ -11,7 +11,7 @@
     "format:write": "prettier . --write"
   },
   "dependencies": {
-    "@headlessui/react": "^1.7.18",
+    "@headlessui/react": "^2.1.9",
     "@icons-pack/react-simple-icons": "^9.4.0",
     "@langchain/openai": "^0.0.25",
     "@tailwindcss/typography": "^0.5.12",

ui/yarn.lock

@@ -66,13 +66,51 @@
   resolved "https://registry.yarnpkg.com/@eslint/js/-/js-8.57.0.tgz#a5417ae8427873f1dd08b70b3574b453e67b5f7f"
   integrity sha512-Ys+3g2TaW7gADOJzPt83SJtCDhMjndcDMFVQ/Tj9iA1BfJzFKD9mAUXT3OenpuPHbI6P/myECxRJrofUsDx/5g==
 
-"@headlessui/react@^1.7.18":
-  version "1.7.18"
-  resolved "https://registry.yarnpkg.com/@headlessui/react/-/react-1.7.18.tgz#30af4634d2215b2ca1aa29d07f33d02bea82d9d7"
-  integrity sha512-4i5DOrzwN4qSgNsL4Si61VMkUcWbcSKueUV7sFhpHzQcSShdlHENE5+QBntMSRvHt8NyoFO2AGG8si9lq+w4zQ==
+"@floating-ui/core@^1.6.0":
+  version "1.6.8"
+  resolved "https://registry.yarnpkg.com/@floating-ui/core/-/core-1.6.8.tgz#aa43561be075815879305965020f492cdb43da12"
+  integrity sha512-7XJ9cPU+yI2QeLS+FCSlqNFZJq8arvswefkZrYI1yQBbftw6FyrZOxYSh+9S7z7TpeWlRt9zJ5IhM1WIL334jA==
   dependencies:
-    "@tanstack/react-virtual" "^3.0.0-beta.60"
-    client-only "^0.0.1"
+    "@floating-ui/utils" "^0.2.8"
+
+"@floating-ui/dom@^1.0.0":
+  version "1.6.11"
+  resolved "https://registry.yarnpkg.com/@floating-ui/dom/-/dom-1.6.11.tgz#8631857838d34ee5712339eb7cbdfb8ad34da723"
+  integrity sha512-qkMCxSR24v2vGkhYDo/UzxfJN3D4syqSjyuTFz6C7XcpU1pASPRieNI0Kj5VP3/503mOfYiGY891ugBX1GlABQ==
+  dependencies:
+    "@floating-ui/core" "^1.6.0"
+    "@floating-ui/utils" "^0.2.8"
+
+"@floating-ui/react-dom@^2.1.2":
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/@floating-ui/react-dom/-/react-dom-2.1.2.tgz#a1349bbf6a0e5cb5ded55d023766f20a4d439a31"
+  integrity sha512-06okr5cgPzMNBy+Ycse2A6udMi4bqwW/zgBF/rwjcNqWkyr82Mcg8b0vjX8OJpZFy/FKjJmw6wV7t44kK6kW7A==
+  dependencies:
+    "@floating-ui/dom" "^1.0.0"
+
+"@floating-ui/react@^0.26.16":
+  version "0.26.24"
+  resolved "https://registry.yarnpkg.com/@floating-ui/react/-/react-0.26.24.tgz#072b9dfeca4e79ef4e3000ef1c28e0ffc86f4ed4"
+  integrity sha512-2ly0pCkZIGEQUq5H8bBK0XJmc1xIK/RM3tvVzY3GBER7IOD1UgmC2Y2tjj4AuS+TC+vTE1KJv2053290jua0Sw==
+  dependencies:
+    "@floating-ui/react-dom" "^2.1.2"
+    "@floating-ui/utils" "^0.2.8"
+    tabbable "^6.0.0"
+
+"@floating-ui/utils@^0.2.8":
+  version "0.2.8"
+  resolved "https://registry.yarnpkg.com/@floating-ui/utils/-/utils-0.2.8.tgz#21a907684723bbbaa5f0974cf7730bd797eb8e62"
+  integrity sha512-kym7SodPp8/wloecOpcmSnWJsK7M0E5Wg8UcFA+uO4B9s5d0ywXOEro/8HM9x0rW+TljRzul/14UYz3TleT3ig==
+
+"@headlessui/react@^2.1.9":
+  version "2.1.9"
+  resolved "https://registry.yarnpkg.com/@headlessui/react/-/react-2.1.9.tgz#d8d3ff64255177a87706cc4f24f42aeac65b1695"
+  integrity sha512-ckWw7vlKtnoa1fL2X0fx1a3t/Li9MIKDVXn3SgG65YlxvDAsNrY39PPCxVM7sQRA7go2fJsuHSSauKFNaJHH7A==
+  dependencies:
+    "@floating-ui/react" "^0.26.16"
+    "@react-aria/focus" "^3.17.1"
+    "@react-aria/interactions" "^3.21.3"
+    "@tanstack/react-virtual" "^3.8.1"
 
 "@humanwhocodes/config-array@^0.11.14":
   version "0.11.14"
@@ -278,6 +316,57 @@
   resolved "https://registry.yarnpkg.com/@pkgjs/parseargs/-/parseargs-0.11.0.tgz#a77ea742fab25775145434eb1d2328cf5013ac33"
   integrity sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg==
 
+"@react-aria/focus@^3.17.1":
+  version "3.18.3"
+  resolved "https://registry.yarnpkg.com/@react-aria/focus/-/focus-3.18.3.tgz#4fe32de1e7530beab8da2e7b89f0f17d22a47e5e"
+  integrity sha512-WKUElg+5zS0D3xlVn8MntNnkzJql2J6MuzAMP8Sv5WTgFDse/XGR842dsxPTIyKKdrWVCRegCuwa4m3n/GzgJw==
+  dependencies:
+    "@react-aria/interactions" "^3.22.3"
+    "@react-aria/utils" "^3.25.3"
+    "@react-types/shared" "^3.25.0"
+    "@swc/helpers" "^0.5.0"
+    clsx "^2.0.0"
+
+"@react-aria/interactions@^3.21.3", "@react-aria/interactions@^3.22.3":
+  version "3.22.3"
+  resolved "https://registry.yarnpkg.com/@react-aria/interactions/-/interactions-3.22.3.tgz#3ba50db12f6ed443ae061eed79e41509eaa3d8e6"
+  integrity sha512-RRUb/aG+P0IKTIWikY/SylB6bIbLZeztnZY2vbe7RAG5MgVaCgn5HQ45SI15GlTmhsFG8CnF6slJsUFJiNHpbQ==
+  dependencies:
+    "@react-aria/ssr" "^3.9.6"
+    "@react-aria/utils" "^3.25.3"
+    "@react-types/shared" "^3.25.0"
+    "@swc/helpers" "^0.5.0"
+
+"@react-aria/ssr@^3.9.6":
+  version "3.9.6"
+  resolved "https://registry.yarnpkg.com/@react-aria/ssr/-/ssr-3.9.6.tgz#a9e8b351acdc8238f2b5215b0ce904636c6ea690"
+  integrity sha512-iLo82l82ilMiVGy342SELjshuWottlb5+VefO3jOQqQRNYnJBFpUSadswDPbRimSgJUZuFwIEYs6AabkP038fA==
+  dependencies:
+    "@swc/helpers" "^0.5.0"
+
+"@react-aria/utils@^3.25.3":
+  version "3.25.3"
+  resolved "https://registry.yarnpkg.com/@react-aria/utils/-/utils-3.25.3.tgz#cad9bffc07b045cdc283df2cb65c18747acbf76d"
+  integrity sha512-PR5H/2vaD8fSq0H/UB9inNbc8KDcVmW6fYAfSWkkn+OAdhTTMVKqXXrZuZBWyFfSD5Ze7VN6acr4hrOQm2bmrA==
+  dependencies:
+    "@react-aria/ssr" "^3.9.6"
+    "@react-stately/utils" "^3.10.4"
+    "@react-types/shared" "^3.25.0"
+    "@swc/helpers" "^0.5.0"
+    clsx "^2.0.0"
+
+"@react-stately/utils@^3.10.4":
+  version "3.10.4"
+  resolved "https://registry.yarnpkg.com/@react-stately/utils/-/utils-3.10.4.tgz#310663a834b67048d305e1680ed258130092fe51"
+  integrity sha512-gBEQEIMRh5f60KCm7QKQ2WfvhB2gLUr9b72sqUdIZ2EG+xuPgaIlCBeSicvjmjBvYZwOjoOEnmIkcx2GHp/HWw==
+  dependencies:
+    "@swc/helpers" "^0.5.0"
+
+"@react-types/shared@^3.25.0":
+  version "3.25.0"
+  resolved "https://registry.yarnpkg.com/@react-types/shared/-/shared-3.25.0.tgz#7223baf72256e918a3c29081bb1ecc6fad4fbf58"
+  integrity sha512-OZSyhzU6vTdW3eV/mz5i6hQwQUhkRs7xwY2d1aqPvTdMe0+2cY7Fwp45PAiwYLEj73i9ro2FxF9qC4DvHGSCgQ==
+
 "@rushstack/eslint-patch@^1.3.3":
   version "1.10.1"
   resolved "https://registry.yarnpkg.com/@rushstack/eslint-patch/-/eslint-patch-1.10.1.tgz#7ca168b6937818e9a74b47ac4e2112b2e1a024cf"
@@ -290,6 +379,13 @@
   dependencies:
     tslib "^2.4.0"
 
+"@swc/helpers@^0.5.0":
+  version "0.5.13"
+  resolved "https://registry.yarnpkg.com/@swc/helpers/-/helpers-0.5.13.tgz#33e63ff3cd0cade557672bd7888a39ce7d115a8c"
+  integrity sha512-UoKGxQ3r5kYI9dALKJapMmuK+1zWM/H17Z1+iwnNmzcJRnfFuevZs375TA5rW31pu4BS4NoSy1fRsexDXfWn5w==
+  dependencies:
+    tslib "^2.4.0"
+
 "@tailwindcss/typography@^0.5.12":
   version "0.5.12"
   resolved "https://registry.yarnpkg.com/@tailwindcss/typography/-/typography-0.5.12.tgz#c0532fd594427b7f4e8e38eff7bf272c63a1dca4"
@@ -300,17 +396,17 @@
     lodash.merge "^4.6.2"
     postcss-selector-parser "6.0.10"
 
-"@tanstack/react-virtual@^3.0.0-beta.60":
-  version "3.2.0"
-  resolved "https://registry.yarnpkg.com/@tanstack/react-virtual/-/react-virtual-3.2.0.tgz#fb70f9c6baee753a5a0f7618ac886205d5a02af9"
-  integrity sha512-OEdMByf2hEfDa6XDbGlZN8qO6bTjlNKqjM3im9JG+u3mCL8jALy0T/67oDI001raUUPh1Bdmfn4ZvPOV5knpcg==
+"@tanstack/react-virtual@^3.8.1":
+  version "3.10.8"
+  resolved "https://registry.yarnpkg.com/@tanstack/react-virtual/-/react-virtual-3.10.8.tgz#bf4b06f157ed298644a96ab7efc1a2b01ab36e3c"
+  integrity sha512-VbzbVGSsZlQktyLrP5nxE+vE1ZR+U0NFAWPbJLoG2+DKPwd2D7dVICTVIIaYlJqX1ZCEnYDbaOpmMwbsyhBoIA==
   dependencies:
-    "@tanstack/virtual-core" "3.2.0"
+    "@tanstack/virtual-core" "3.10.8"
 
-"@tanstack/virtual-core@3.2.0":
-  version "3.2.0"
-  resolved "https://registry.yarnpkg.com/@tanstack/virtual-core/-/virtual-core-3.2.0.tgz#874d36135e4badce2719e7bdc556ce240cbaff14"
-  integrity sha512-P5XgYoAw/vfW65byBbJQCw+cagdXDT/qH6wmABiLt4v4YBT2q2vqCOhihe+D1Nt325F/S/0Tkv6C5z0Lv+VBQQ==
+"@tanstack/virtual-core@3.10.8":
+  version "3.10.8"
+  resolved "https://registry.yarnpkg.com/@tanstack/virtual-core/-/virtual-core-3.10.8.tgz#975446a667755222f62884c19e5c3c66d959b8b4"
+  integrity sha512-PBu00mtt95jbKFi6Llk9aik8bnR3tR/oQP1o3TSi+iG//+Q2RTIzCEgKkHG8BB86kxMNW6O8wku+Lmi+QFR6jA==
 
 "@types/json5@^0.0.29":
   version "0.0.29"
@@ -779,11 +875,16 @@ chokidar@^3.5.3:
   optionalDependencies:
     fsevents "~2.3.2"
 
-client-only@0.0.1, client-only@^0.0.1:
+client-only@0.0.1:
   version "0.0.1"
   resolved "https://registry.yarnpkg.com/client-only/-/client-only-0.0.1.tgz#38bba5d403c41ab150bff64a95c85013cf73bca1"
   integrity sha512-IV3Ou0jSMzZrd3pZ48nLkT9DA7Ag1pnPzaiQhpW7c3RbcqqzvzzVu+L8gfqMp/8IM2MQtSiqaCxrrcfu8I8rMA==
 
+clsx@^2.0.0:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/clsx/-/clsx-2.1.1.tgz#eed397c9fd8bd882bfb18deab7102049a2f32999"
+  integrity sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==
+
 clsx@^2.1.0:
   version "2.1.0"
   resolved "https://registry.yarnpkg.com/clsx/-/clsx-2.1.0.tgz#e851283bcb5c80ee7608db18487433f7b23f77cb"
@@ -2995,6 +3096,11 @@ supports-preserve-symlinks-flag@^1.0.0:
   resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
   integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==
 
+tabbable@^6.0.0:
+  version "6.2.0"
+  resolved "https://registry.yarnpkg.com/tabbable/-/tabbable-6.2.0.tgz#732fb62bc0175cfcec257330be187dcfba1f3b97"
+  integrity sha512-Cat63mxsVJlzYvN51JmVXIgNoUokrIaT2zLclCXjRd8boZ0004U4KCs/sToJ75C6sdlByWxpYnb5Boif1VSFew==
+
 tailwind-merge@^2.2.2:
   version "2.2.2"
   resolved "https://registry.yarnpkg.com/tailwind-merge/-/tailwind-merge-2.2.2.tgz#87341e7604f0e20499939e152cd2841f41f7a3df"

yarn.lock

@@ -690,6 +690,13 @@
   resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-9.0.8.tgz#7545ba4fc3c003d6c756f651f3bf163d8f0f29ba"
   integrity sha512-jg+97EGIcY9AGHJJRaaPVgetKDsrTgbRjQ5Msgjh/DQKEFl0DtyRr/VCOyD1T2R1MNeWPK/u7JoGhlDZnKBAfA==
 
+"@types/ws@^8.5.12":
+  version "8.5.12"
+  resolved "https://registry.yarnpkg.com/@types/ws/-/ws-8.5.12.tgz#619475fe98f35ccca2a2f6c137702d85ec247b7e"
+  integrity sha512-3tPRkv1EtkDpzlgyKyI8pGsGZAGPEaXeu0DOj5DI25Ja91bdAYddYHbADRYVrZMRbfW+1l5YwXVDKohDJNQxkQ==
+  dependencies:
+    "@types/node" "*"
+
 "@xenova/transformers@^2.17.1":
   version "2.17.1"
   resolved "https://registry.yarnpkg.com/@xenova/transformers/-/transformers-2.17.1.tgz#712f7a72c76c8aa2075749382f83dc7dd4e5a9a5"