feat(package): add langgraph

.github/workflows/docker-build.yaml

@@ -4,20 +4,12 @@ on:
   push:
     branches:
       - master
-      - canary
   release:
     types: [published]
 
 jobs:
   build-amd64:
     runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        variant:
-          - name: full
-            dockerfile: Dockerfile
-          - name: slim
-            dockerfile: Dockerfile.slim
     steps:
       - name: Checkout code
         uses: actions/checkout@v3
@@ -38,54 +30,34 @@ jobs:
         id: version
         run: echo "RELEASE_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
 
-      - name: Build and push AMD64 Docker image (master)
+      - name: Build and push AMD64 Docker image
         if: github.ref == 'refs/heads/master' && github.event_name == 'push'
         run: |
-          DOCKERFILE=${{ matrix.variant.dockerfile }}
-          VARIANT=${{ matrix.variant.name }}
+          DOCKERFILE=app.dockerfile
+          IMAGE_NAME=perplexica
           docker buildx build --platform linux/amd64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/perplexica:${VARIANT}-amd64 \
+            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:amd64 \
             --cache-to=type=inline \
             --provenance false \
             -f $DOCKERFILE \
-            -t itzcrazykns1337/perplexica:${VARIANT}-amd64 \
-            --push .
-
-      - name: Build and push AMD64 Canary Docker image
-        if: github.ref == 'refs/heads/canary' && github.event_name == 'push'
-        run: |
-          DOCKERFILE=${{ matrix.variant.dockerfile }}
-          VARIANT=${{ matrix.variant.name }}
-          docker buildx build --platform linux/amd64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/perplexica:${VARIANT}-canary-amd64 \
-            --cache-to=type=inline \
-            --provenance false \
-            -f $DOCKERFILE \
-            -t itzcrazykns1337/perplexica:${VARIANT}-canary-amd64 \
+            -t itzcrazykns1337/${IMAGE_NAME}:amd64 \
             --push .
 
       - name: Build and push AMD64 release Docker image
         if: github.event_name == 'release'
         run: |
-          DOCKERFILE=${{ matrix.variant.dockerfile }}
-          VARIANT=${{ matrix.variant.name }}
+          DOCKERFILE=app.dockerfile
+          IMAGE_NAME=perplexica
           docker buildx build --platform linux/amd64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-amd64 \
+            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}-amd64 \
             --cache-to=type=inline \
             --provenance false \
             -f $DOCKERFILE \
-            -t itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-amd64 \
+            -t itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}-amd64 \
             --push .
 
   build-arm64:
     runs-on: ubuntu-24.04-arm
-    strategy:
-      matrix:
-        variant:
-          - name: full
-            dockerfile: Dockerfile
-          - name: slim
-            dockerfile: Dockerfile.slim
     steps:
       - name: Checkout code
         uses: actions/checkout@v3
@@ -106,51 +78,35 @@ jobs:
         id: version
         run: echo "RELEASE_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
 
-      - name: Build and push ARM64 Docker image (master)
+      - name: Build and push ARM64 Docker image
         if: github.ref == 'refs/heads/master' && github.event_name == 'push'
         run: |
-          DOCKERFILE=${{ matrix.variant.dockerfile }}
-          VARIANT=${{ matrix.variant.name }}
+          DOCKERFILE=app.dockerfile
+          IMAGE_NAME=perplexica
           docker buildx build --platform linux/arm64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/perplexica:${VARIANT}-arm64 \
+            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:arm64 \
             --cache-to=type=inline \
             --provenance false \
             -f $DOCKERFILE \
-            -t itzcrazykns1337/perplexica:${VARIANT}-arm64 \
-            --push .
-
-      - name: Build and push ARM64 Canary Docker image
-        if: github.ref == 'refs/heads/canary' && github.event_name == 'push'
-        run: |
-          DOCKERFILE=${{ matrix.variant.dockerfile }}
-          VARIANT=${{ matrix.variant.name }}
-          docker buildx build --platform linux/arm64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/perplexica:${VARIANT}-canary-arm64 \
-            --cache-to=type=inline \
-            --provenance false \
-            -f $DOCKERFILE \
-            -t itzcrazykns1337/perplexica:${VARIANT}-canary-arm64 \
+            -t itzcrazykns1337/${IMAGE_NAME}:arm64 \
             --push .
 
       - name: Build and push ARM64 release Docker image
         if: github.event_name == 'release'
         run: |
-          DOCKERFILE=${{ matrix.variant.dockerfile }}
-          VARIANT=${{ matrix.variant.name }}
+          DOCKERFILE=app.dockerfile
+          IMAGE_NAME=perplexica
           docker buildx build --platform linux/arm64 \
-            --cache-from=type=registry,ref=itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-arm64 \
+            --cache-from=type=registry,ref=itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}-arm64 \
             --cache-to=type=inline \
             --provenance false \
             -f $DOCKERFILE \
-            -t itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-arm64 \
+            -t itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}-arm64 \
             --push .
 
   manifest:
     needs: [build-amd64, build-arm64]
     runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        variant: [full, slim]
     steps:
       - name: Log in to DockerHub
         uses: docker/login-action@v2
@@ -163,55 +119,20 @@ jobs:
         id: version
         run: echo "RELEASE_VERSION=${GITHUB_REF#refs/tags/}" >> $GITHUB_ENV
 
-      - name: Create and push manifest for main
+      - name: Create and push multi-arch manifest for main
         if: github.ref == 'refs/heads/master' && github.event_name == 'push'
         run: |
-          VARIANT=${{ matrix.variant }}
-          docker manifest create itzcrazykns1337/perplexica:${VARIANT}-latest \
-            --amend itzcrazykns1337/perplexica:${VARIANT}-amd64 \
-            --amend itzcrazykns1337/perplexica:${VARIANT}-arm64
-          docker manifest push itzcrazykns1337/perplexica:${VARIANT}-latest
+          IMAGE_NAME=perplexica
+          docker manifest create itzcrazykns1337/${IMAGE_NAME}:main \
+            --amend itzcrazykns1337/${IMAGE_NAME}:amd64 \
+            --amend itzcrazykns1337/${IMAGE_NAME}:arm64
+          docker manifest push itzcrazykns1337/${IMAGE_NAME}:main
 
-          if [ "$VARIANT" = "full" ]; then
-            docker manifest create itzcrazykns1337/perplexica:latest \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-amd64 \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-arm64
-            docker manifest push itzcrazykns1337/perplexica:latest
-
-            docker manifest create itzcrazykns1337/perplexica:main \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-amd64 \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-arm64
-            docker manifest push itzcrazykns1337/perplexica:main
-          fi
-
-      - name: Create and push manifest for canary
-        if: github.ref == 'refs/heads/canary' && github.event_name == 'push'
-        run: |
-          VARIANT=${{ matrix.variant }}
-          docker manifest create itzcrazykns1337/perplexica:${VARIANT}-canary \
-            --amend itzcrazykns1337/perplexica:${VARIANT}-canary-amd64 \
-            --amend itzcrazykns1337/perplexica:${VARIANT}-canary-arm64
-          docker manifest push itzcrazykns1337/perplexica:${VARIANT}-canary
-
-          if [ "$VARIANT" = "full" ]; then
-            docker manifest create itzcrazykns1337/perplexica:canary \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-canary-amd64 \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-canary-arm64
-            docker manifest push itzcrazykns1337/perplexica:canary
-          fi
-
-      - name: Create and push manifest for releases
+      - name: Create and push multi-arch manifest for releases
         if: github.event_name == 'release'
         run: |
-          VARIANT=${{ matrix.variant }}
-          docker manifest create itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }} \
-            --amend itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-amd64 \
-            --amend itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-arm64
-          docker manifest push itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}
-
-          if [ "$VARIANT" = "full" ]; then
-            docker manifest create itzcrazykns1337/perplexica:${{ env.RELEASE_VERSION }} \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-amd64 \
-              --amend itzcrazykns1337/perplexica:${VARIANT}-${{ env.RELEASE_VERSION }}-arm64
-            docker manifest push itzcrazykns1337/perplexica:${{ env.RELEASE_VERSION }}
-          fi
+          IMAGE_NAME=perplexica
+          docker manifest create itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }} \
+            --amend itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}-amd64 \
+            --amend itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}-arm64
+          docker manifest push itzcrazykns1337/${IMAGE_NAME}:${{ env.RELEASE_VERSION }}

Dockerfile

@@ -1,74 +0,0 @@
-FROM node:24.5.0-slim AS builder
-
-RUN apt-get update && apt-get install -y python3 python3-pip sqlite3 && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /home/perplexica
-
-COPY package.json yarn.lock ./
-RUN yarn install --frozen-lockfile --network-timeout 600000
-
-COPY tsconfig.json next.config.mjs next-env.d.ts postcss.config.js drizzle.config.ts tailwind.config.ts ./
-COPY src ./src
-COPY public ./public
-COPY drizzle ./drizzle
-
-RUN mkdir -p /home/perplexica/data
-RUN yarn build
-
-FROM node:24.5.0-slim
-
-RUN apt-get update && \
-    apt-get install -y \
-    python3 \
-    python3-pip \
-    python3-venv \
-    python3-dev \
-    sqlite3 \
-    git \
-    build-essential \
-    libxslt-dev \
-    zlib1g-dev \
-    libffi-dev \
-    libssl-dev \
-    uwsgi \
-    uwsgi-plugin-python3 \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /home/perplexica
-
-COPY --from=builder /home/perplexica/public ./public
-COPY --from=builder /home/perplexica/.next/static ./public/_next/static
-COPY --from=builder /home/perplexica/.next/standalone ./
-COPY --from=builder /home/perplexica/data ./data
-COPY drizzle ./drizzle
-
-RUN mkdir /home/perplexica/uploads
-
-RUN useradd --system --home-dir /usr/local/searxng --shell /bin/sh searxng
-
-WORKDIR /usr/local/searxng
-RUN git clone https://github.com/searxng/searxng.git . && \
-    python3 -m venv venv && \
-    . venv/bin/activate && \
-    pip install --upgrade pip setuptools wheel pyyaml && \
-    pip install -r requirements.txt && \
-    pip install uwsgi
-
-RUN mkdir -p /etc/searxng
-COPY searxng/settings.yml /etc/searxng/settings.yml
-COPY searxng/limiter.toml /etc/searxng/limiter.toml
-COPY searxng/uwsgi.ini /etc/searxng/uwsgi.ini
-
-RUN chown -R searxng:searxng /usr/local/searxng /etc/searxng
-
-WORKDIR /home/perplexica
-COPY entrypoint.sh ./entrypoint.sh
-RUN chmod +x ./entrypoint.sh
-RUN sed -i 's/\r$//' ./entrypoint.sh || true
-
-EXPOSE 3000 8080
-
-ENV SEARXNG_API_URL=http://localhost:8080
-
-CMD ["/home/perplexica/entrypoint.sh"]

README.md

@@ -76,35 +76,6 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
 
 ### Getting Started with Docker (Recommended)
 
-Perplexica can be easily run using Docker. Simply run the following command:
-
-```bash
-docker run -p 3000:3000 --name perplexica itzcrazykns1337/perplexica:latest
-```
-
-This will pull and start the Perplexica container with the bundled SearxNG search engine. Once running, open your browser and navigate to http://localhost:3000. You can then configure your settings (API keys, models, etc.) directly in the setup screen.
-
-**Note**: The image includes both Perplexica and SearxNG, so no additional setup is required.
-
-#### Using Perplexica with Your Own SearxNG Instance
-
-If you already have SearxNG running, you can use the slim version of Perplexica:
-
-```bash
-docker run -p 3000:3000 -e SEARXNG_API_URL=http://your-searxng-url:8080 --name perplexica itzcrazykns1337/perplexica:slim-latest
-```
-
-**Important**: Make sure your SearxNG instance has:
-
-- JSON format enabled in the settings
-- Wolfram Alpha search engine enabled
-
-Replace `http://your-searxng-url:8080` with your actual SearxNG URL. Then configure your AI provider settings in the setup screen at http://localhost:3000.
-
-#### Advanced Setup (Building from Source)
-
-If you prefer to build from source or need more control:
-
 1. Ensure Docker is installed and running on your system.
 2. Clone the Perplexica repository:
 
@@ -114,46 +85,39 @@ If you prefer to build from source or need more control:
 
 3. After cloning, navigate to the directory containing the project files.
 
-4. Build and run using Docker:
+4. Rename the `sample.config.toml` file to `config.toml`. For Docker setups, you need only fill in the following fields:
+
+   - `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
+   - `CUSTOM_OPENAI`: Your OpenAI-API-compliant local server URL, model name, and API key. You should run your local server with host set to `0.0.0.0`, take note of which port number it is running on, and then use that port number to set `API_URL = http://host.docker.internal:PORT_NUMBER`. You must specify the model name, such as `MODEL_NAME = "unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF:Q4_K_XL"`. Finally, set `API_KEY` to the appropriate value. If you have not defined an API key, just put anything you want in-between the quotation marks: `API_KEY = "whatever-you-want-but-not-blank"` **You only need to configure these settings if you want to use a local OpenAI-compliant server, such as Llama.cpp's [`llama-server`](https://github.com/ggml-org/llama.cpp/blob/master/tools/server/README.md)**.
+   - `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
+   - `LEMONADE`: Your Lemonade API URL. Since Lemonade runs directly on your local machine (not in Docker), you should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Lemonade on port 8000, use `http://host.docker.internal:8000`. For other ports, adjust accordingly. **You need to fill this if you wish to use Lemonade's models**.
+   - `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.`
+   - `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
+   - `Gemini`: Your Gemini API key. **You only need to fill this if you wish to use Google's models**.
+   - `DEEPSEEK`: Your Deepseek API key. **Only needed if you want Deepseek models.**
+   - `AIMLAPI`: Your AI/ML API key. **Only needed if you want to use AI/ML API models and embeddings.**
+
+     **Note**: You can change these after starting Perplexica from the settings dialog.
+
+   - `SIMILARITY_MEASURE`: The similarity measure to use (This is filled by default; you can leave it as is if you are unsure about it.)
+
+5. Ensure you are in the directory containing the `docker-compose.yaml` file and execute:
 
    ```bash
-   docker build -t perplexica .
-   docker run -p 3000:3000 --name perplexica perplexica
+   docker compose up -d
    ```
 
-5. Access Perplexica at http://localhost:3000 and configure your settings in the setup screen.
+6. Wait a few minutes for the setup to complete. You can access Perplexica at http://localhost:3000 in your web browser.
 
 **Note**: After the containers are built, you can start Perplexica directly from Docker without having to open a terminal.
 
 ### Non-Docker Installation
 
-1. Install SearXNG and allow `JSON` format in the SearXNG settings. Make sure Wolfram Alpha search engine is also enabled.
-2. Clone the repository:
-
-   ```bash
-   git clone https://github.com/ItzCrazyKns/Perplexica.git
-   cd Perplexica
-   ```
-
-3. Install dependencies:
-
-   ```bash
-   npm i
-   ```
-
-4. Build the application:
-
-   ```bash
-   npm run build
-   ```
-
-5. Start the application:
-
-   ```bash
-   npm run start
-   ```
-
-6. Open your browser and navigate to http://localhost:3000 to complete the setup and configure your settings (API keys, models, SearxNG URL, etc.) in the setup screen.
+1. Install SearXNG and allow `JSON` format in the SearXNG settings.
+2. Clone the repository and rename the `sample.config.toml` file to `config.toml` in the root directory. Ensure you complete all required fields in this file.
+3. After populating the configuration run `npm i`.
+4. Install the dependencies and then execute `npm run build`.
+5. Finally, start the app by running `npm run start`
 
 **Note**: Using Docker is recommended as it simplifies the setup process, especially for managing environment variables and dependencies.
 

app.dockerfile

@@ -15,6 +15,9 @@ COPY drizzle ./drizzle
 RUN mkdir -p /home/perplexica/data
 RUN yarn build
 
+RUN yarn add --dev @vercel/ncc
+RUN yarn ncc build ./src/lib/db/migrate.ts -o migrator
+
 FROM node:24.5.0-slim
 
 RUN apt-get update && apt-get install -y python3 python3-pip sqlite3 && rm -rf /var/lib/apt/lists/*
@@ -27,9 +30,13 @@ COPY --from=builder /home/perplexica/.next/static ./public/_next/static
 COPY --from=builder /home/perplexica/.next/standalone ./
 COPY --from=builder /home/perplexica/data ./data
 COPY drizzle ./drizzle
+COPY --from=builder /home/perplexica/migrator/build ./build
+COPY --from=builder /home/perplexica/migrator/index.js ./migrate.js
 
 RUN mkdir /home/perplexica/uploads
 
-EXPOSE 3000
+COPY entrypoint.sh ./entrypoint.sh
+RUN chmod +x ./entrypoint.sh
+RUN sed -i 's/\r$//' ./entrypoint.sh || true
 
-CMD ["node", "server.js"]
+CMD ["/home/perplexica/entrypoint.sh"]

docker-compose.yaml

@@ -0,0 +1,35 @@
+services:
+  searxng:
+    image: docker.io/searxng/searxng:latest
+    volumes:
+      - ./searxng:/etc/searxng:rw
+    ports:
+      - 4000:8080
+    networks:
+      - perplexica-network
+    restart: unless-stopped
+
+  app:
+    image: itzcrazykns1337/perplexica:main
+    build:
+      context: .
+      dockerfile: app.dockerfile
+    environment:
+      - SEARXNG_API_URL=http://searxng:8080
+      - DATA_DIR=/home/perplexica
+    ports:
+      - 3000:3000
+    networks:
+      - perplexica-network
+    volumes:
+      - backend-dbstore:/home/perplexica/data
+      - uploads:/home/perplexica/uploads
+      - ./config.toml:/home/perplexica/config.toml
+    restart: unless-stopped
+
+networks:
+  perplexica-network:
+
+volumes:
+  backend-dbstore:
+  uploads:

docs/API/SEARCH.md

@@ -4,55 +4,11 @@
 
 Perplexica’s Search API makes it easy to use our AI-powered search engine. You can run different types of searches, pick the models you want to use, and get the most recent info. Follow the following headings to learn more about Perplexica's search API.
 
-## Endpoints
+## Endpoint
 
-### Get Available Providers and Models
+### **POST** `http://localhost:3000/api/search`
 
-Before making search requests, you'll need to get the available providers and their models.
-
-#### **GET** `/api/providers`
-
-**Full URL**: `http://localhost:3000/api/providers`
-
-Returns a list of all active providers with their available chat and embedding models.
-
-**Response Example:**
-```json
-{
-  "providers": [
-    {
-      "id": "550e8400-e29b-41d4-a716-446655440000",
-      "name": "OpenAI",
-      "chatModels": [
-        {
-          "name": "GPT 4 Omni Mini",
-          "key": "gpt-4o-mini"
-        },
-        {
-          "name": "GPT 4 Omni",
-          "key": "gpt-4o"
-        }
-      ],
-      "embeddingModels": [
-        {
-          "name": "Text Embedding 3 Large",
-          "key": "text-embedding-3-large"
-        }
-      ]
-    }
-  ]
-}
-```
-
-Use the `id` field as the `providerId` and the `key` field from the models arrays when making search requests.
-
-### Search Query
-
-#### **POST** `/api/search`
-
-**Full URL**: `http://localhost:3000/api/search`
-
-**Note**: Replace `localhost:3000` with your Perplexica instance URL if running on a different host or port
+**Note**: Replace `3000` with any other port if you've changed the default PORT
 
 ### Request
 
@@ -63,12 +19,12 @@ The API accepts a JSON object in the request body, where you define the focus mo
 ```json
 {
   "chatModel": {
-    "providerId": "550e8400-e29b-41d4-a716-446655440000",
-    "key": "gpt-4o-mini"
+    "provider": "openai",
+    "name": "gpt-4o-mini"
   },
   "embeddingModel": {
-    "providerId": "550e8400-e29b-41d4-a716-446655440000",
-    "key": "text-embedding-3-large"
+    "provider": "openai",
+    "name": "text-embedding-3-large"
   },
   "optimizationMode": "speed",
   "focusMode": "webSearch",
@@ -82,19 +38,20 @@ The API accepts a JSON object in the request body, where you define the focus mo
 }
 ```
 
-**Note**: The `providerId` must be a valid UUID obtained from the `/api/providers` endpoint. The example above uses a sample UUID for demonstration.
-
 ### Request Parameters
 
-- **`chatModel`** (object, optional): Defines the chat model to be used for the query. To get available providers and models, send a GET request to `http://localhost:3000/api/providers`.
+- **`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:3000/api/models`. Make sure to use the key value (For example "gpt-4o-mini" instead of the display name "GPT 4 omni mini").
 
-  - `providerId` (string): The UUID of the provider. You can get this from the `/api/providers` endpoint response.
-  - `key` (string): The model key/identifier (e.g., `gpt-4o-mini`, `llama3.1:latest`). Use the `key` value from the provider's `chatModels` array, not the display name.
+  - `provider`: Specifies the provider for the chat model (e.g., `openai`, `ollama`).
+  - `name`: The specific model from the chosen provider (e.g., `gpt-4o-mini`).
+  - Optional fields for custom OpenAI configuration:
+    - `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. To get available providers and models, send a GET request to `http://localhost:3000/api/providers`.
+- **`embeddingModel`** (object, optional): Defines the embedding model for similarity-based searching. For model details you can send a GET request at `http://localhost:3000/api/models`. Make sure to use the key value (For example "text-embedding-3-large" instead of the display name "Text Embedding 3 Large").
 
-  - `providerId` (string): The UUID of the embedding provider. You can get this from the `/api/providers` endpoint response.
-  - `key` (string): The embedding model key (e.g., `text-embedding-3-large`, `nomic-embed-text`). Use the `key` value from the provider's `embeddingModels` array, not the display name.
+  - `provider`: The provider for the embedding model (e.g., `openai`).
+  - `name`: The specific embedding model (e.g., `text-embedding-3-large`).
 
 - **`focusMode`** (string, required): Specifies which focus mode to use. Available modes:
 
@@ -151,7 +108,7 @@ The response from the API includes both the final message and the sources used t
 
 #### Streaming Response (stream: true)
 
-When streaming is enabled, the API returns a stream of newline-delimited JSON objects using Server-Sent Events (SSE). Each line contains a complete, valid JSON object. The response has `Content-Type: text/event-stream`.
+When streaming is enabled, the API returns a stream of newline-delimited JSON objects. Each line contains a complete, valid JSON object. The response has Content-Type: application/json.
 
 Example of streamed response objects:
 

docs/installation/UPDATING.md

@@ -2,80 +2,45 @@
 
 To update Perplexica to the latest version, follow these steps:
 
-## For Docker users (Using pre-built images)
+## For Docker users
 
-Simply pull the latest image and restart your container:
-
-```bash
-docker pull itzcrazykns1337/perplexica:latest
-docker stop perplexica
-docker rm perplexica
-docker run -p 3000:3000 --name perplexica itzcrazykns1337/perplexica:latest
-```
-
-For slim version:
-
-```bash
-docker pull itzcrazykns1337/perplexica:slim-latest
-docker stop perplexica
-docker rm perplexica
-docker run -p 3000:3000 -e SEARXNG_API_URL=http://your-searxng-url:8080 --name perplexica itzcrazykns1337/perplexica:slim-latest
-```
-
-Once updated, go to http://localhost:3000 and verify the latest changes. Your settings are preserved automatically.
-
-## For Docker users (Building from source)
-
-1. Navigate to your Perplexica directory and pull the latest changes:
+1. Clone the latest version of Perplexica from GitHub:
 
    ```bash
-   cd Perplexica
-   git pull origin master
+   git clone https://github.com/ItzCrazyKns/Perplexica.git
    ```
 
-2. Rebuild the Docker image:
+2. Navigate to the project directory.
+
+3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
+
+4. Pull the latest images from the registry.
 
    ```bash
-   docker build -t perplexica .
+   docker compose pull
    ```
 
-3. Stop and remove the old container, then start the new one:
+5. Update and recreate the containers.
 
    ```bash
-   docker stop perplexica
-   docker rm perplexica
-   docker run -p 3000:3000 -p 8080:8080 --name perplexica perplexica
+   docker compose up -d
    ```
 
-4. Once the command completes, go to http://localhost:3000 and verify the latest changes.
+6. Once the command completes, go to http://localhost:3000 and verify the latest changes.
 
 ## For non-Docker users
 
-1. Navigate to your Perplexica directory and pull the latest changes:
+1. Clone the latest version of Perplexica from GitHub:
 
    ```bash
-   cd Perplexica
-   git pull origin master
+   git clone https://github.com/ItzCrazyKns/Perplexica.git
    ```
 
-2. Install any new dependencies:
+2. Navigate to the project directory.
 
-   ```bash
-   npm i
-   ```
-
-3. Rebuild the application:
-
-   ```bash
-   npm run build
-   ```
-
-4. Restart the application:
-
-   ```bash
-   npm run start
-   ```
-
-5. Go to http://localhost:3000 and verify the latest changes. Your settings are preserved automatically.
+3. Check for changes in the configuration files. If the `sample.config.toml` file contains new fields, delete your existing `config.toml` file, rename `sample.config.toml` to `config.toml`, and update the configuration accordingly.
+4. After populating the configuration run `npm i`.
+5. Install the dependencies and then execute `npm run build`.
+6. Finally, start the app by running `npm run start`
 
 ---

entrypoint.sh

@@ -1,24 +1,6 @@
 #!/bin/sh
 set -e
 
-cd /usr/local/searxng
-export SEARXNG_SETTINGS_PATH=/etc/searxng/settings.yml
+node migrate.js
 
-# Start SearXNG in background with all output redirected to /dev/null
-/usr/local/searxng/venv/bin/uwsgi \
-  --http-socket 0.0.0.0:8080 \
-  --ini /etc/searxng/uwsgi.ini \
-  --virtualenv /usr/local/searxng/venv \
-  --disable-logging > /dev/null 2>&1 &
-
-echo "Starting SearXNG..."
-sleep 5
-
-until curl -s http://localhost:8080 > /dev/null 2>&1; do
-  sleep 1
-done
-echo "SearXNG started successfully"
-
-cd /home/perplexica
-echo "Starting Perplexica..."
 exec node server.js

package.json

@@ -1,39 +1,40 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.11.0",
+  "version": "1.11.0-rc2",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
     "dev": "next dev",
-    "build": "next build",
+    "build": "npm run db:migrate && next build",
     "start": "next start",
     "lint": "next lint",
-    "format:write": "prettier . --write"
+    "format:write": "prettier . --write",
+    "db:migrate": "node ./src/lib/db/migrate.ts"
   },
   "dependencies": {
     "@headlessui/react": "^2.2.0",
-    "@headlessui/tailwindcss": "^0.2.2",
-    "@huggingface/transformers": "^3.7.5",
     "@iarna/toml": "^2.2.5",
     "@icons-pack/react-simple-icons": "^12.3.0",
-    "@langchain/anthropic": "^1.0.0",
-    "@langchain/community": "^1.0.0",
-    "@langchain/core": "^1.0.1",
-    "@langchain/google-genai": "^1.0.0",
-    "@langchain/groq": "^1.0.0",
-    "@langchain/ollama": "^1.0.0",
-    "@langchain/openai": "^1.0.0",
-    "@langchain/textsplitters": "^1.0.0",
+    "@langchain/anthropic": "^0.3.24",
+    "@langchain/community": "^0.3.49",
+    "@langchain/core": "^0.3.66",
+    "@langchain/google-genai": "^0.2.15",
+    "@langchain/groq": "^0.2.3",
+    "@langchain/langgraph": "^0.4.9",
+    "@langchain/ollama": "^0.2.3",
+    "@langchain/openai": "^0.6.2",
+    "@langchain/textsplitters": "^0.1.0",
     "@tailwindcss/typography": "^0.5.12",
+    "@xenova/transformers": "^2.17.2",
     "axios": "^1.8.3",
     "better-sqlite3": "^11.9.1",
     "clsx": "^2.1.0",
     "compute-cosine-similarity": "^1.1.0",
+    "compute-dot": "^1.1.0",
     "drizzle-orm": "^0.40.1",
-    "framer-motion": "^12.23.24",
     "html-to-text": "^9.0.5",
     "jspdf": "^3.0.1",
-    "langchain": "^1.0.1",
+    "langchain": "^0.3.30",
     "lucide-react": "^0.363.0",
     "mammoth": "^1.9.1",
     "markdown-to-jsx": "^7.7.2",
@@ -54,7 +55,7 @@
     "@types/better-sqlite3": "^7.6.12",
     "@types/html-to-text": "^9.0.4",
     "@types/jspdf": "^2.0.0",
-    "@types/node": "^24.8.1",
+    "@types/node": "^20",
     "@types/pdf-parse": "^1.1.4",
     "@types/react": "^18",
     "@types/react-dom": "^18",
@@ -65,6 +66,6 @@
     "postcss": "^8",
     "prettier": "^3.2.5",
     "tailwindcss": "^3.3.0",
-    "typescript": "^5.9.3"
+    "typescript": "^5"
   }
 }

sample.config.toml

@@ -0,0 +1,39 @@
+[GENERAL]
+SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
+KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
+
+[MODELS.OPENAI]
+API_KEY = ""
+
+[MODELS.GROQ]
+API_KEY = ""
+
+[MODELS.ANTHROPIC]
+API_KEY = ""
+
+[MODELS.GEMINI]
+API_KEY = ""
+
+[MODELS.CUSTOM_OPENAI]
+API_KEY = ""
+API_URL = ""
+MODEL_NAME = ""
+
+[MODELS.OLLAMA]
+API_URL = "" # Ollama API URL - http://host.docker.internal:11434
+
+[MODELS.DEEPSEEK]
+API_KEY = ""
+
+[MODELS.AIMLAPI]
+API_KEY = "" # Required to use AI/ML API chat and embedding models
+
+[MODELS.LM_STUDIO]
+API_URL = "" # LM Studio API URL - http://host.docker.internal:1234
+
+[MODELS.LEMONADE]
+API_URL = "" # Lemonade API URL - http://host.docker.internal:8000
+API_KEY = "" # Optional API key for Lemonade
+
+[API_ENDPOINTS]
+SEARXNG = "" # SearxNG API URL - http://localhost:32768

src/app/api/chat/route.ts

@@ -1,14 +1,23 @@
 import crypto from 'crypto';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
 import { EventEmitter } from 'stream';
+import {
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
 import db from '@/lib/db';
 import { chats, messages as messagesSchema } from '@/lib/db/schema';
 import { and, eq, gt } from 'drizzle-orm';
 import { getFileDetails } from '@/lib/utils/files';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { ChatOpenAI } from '@langchain/openai';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
 import { searchHandlers } from '@/lib/search';
 import { z } from 'zod';
-import ModelRegistry from '@/lib/models/registry';
-import { ModelWithProvider } from '@/lib/models/types';
 
 export const runtime = 'nodejs';
 export const dynamic = 'force-dynamic';
@@ -19,30 +28,14 @@ const messageSchema = z.object({
   content: z.string().min(1, 'Message content is required'),
 });
 
-const chatModelSchema: z.ZodType<ModelWithProvider> = z.object({
-  providerId: z.string({
-    errorMap: () => ({
-      message: 'Chat model provider id must be provided',
-    }),
-  }),
-  key: z.string({
-    errorMap: () => ({
-      message: 'Chat model key must be provided',
-    }),
-  }),
+const chatModelSchema = z.object({
+  provider: z.string().optional(),
+  name: z.string().optional(),
 });
 
-const embeddingModelSchema: z.ZodType<ModelWithProvider> = z.object({
-  providerId: z.string({
-    errorMap: () => ({
-      message: 'Embedding model provider id must be provided',
-    }),
-  }),
-  key: z.string({
-    errorMap: () => ({
-      message: 'Embedding model key must be provided',
-    }),
-  }),
+const embeddingModelSchema = z.object({
+  provider: z.string().optional(),
+  name: z.string().optional(),
 });
 
 const bodySchema = z.object({
@@ -64,8 +57,8 @@ const bodySchema = z.object({
     .optional()
     .default([]),
   files: z.array(z.string()).optional().default([]),
-  chatModel: chatModelSchema,
-  embeddingModel: embeddingModelSchema,
+  chatModel: chatModelSchema.optional().default({}),
+  embeddingModel: embeddingModelSchema.optional().default({}),
   systemInstructions: z.string().nullable().optional().default(''),
 });
 
@@ -97,7 +90,7 @@ const handleEmitterEvents = async (
   encoder: TextEncoder,
   chatId: string,
 ) => {
-  let receivedMessage = '';
+  let recievedMessage = '';
   const aiMessageId = crypto.randomBytes(7).toString('hex');
 
   stream.on('data', (data) => {
@@ -113,7 +106,7 @@ const handleEmitterEvents = async (
         ),
       );
 
-      receivedMessage += parsedData.data;
+      recievedMessage += parsedData.data;
     } else if (parsedData.type === 'sources') {
       writer.write(
         encoder.encode(
@@ -150,7 +143,7 @@ const handleEmitterEvents = async (
 
     db.insert(messagesSchema)
       .values({
-        content: receivedMessage,
+        content: recievedMessage,
         chatId: chatId,
         messageId: aiMessageId,
         role: 'assistant',
@@ -255,16 +248,56 @@ export const POST = async (req: Request) => {
       );
     }
 
-    const registry = new ModelRegistry();
-
-    const [llm, embedding] = await Promise.all([
-      registry.loadChatModel(body.chatModel.providerId, body.chatModel.key),
-      registry.loadEmbeddingModel(
-        body.embeddingModel.providerId,
-        body.embeddingModel.key,
-      ),
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
     ]);
 
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.name || Object.keys(chatModelProvider)[0]
+      ];
+
+    const embeddingProvider =
+      embeddingModelProviders[
+        body.embeddingModel?.provider || Object.keys(embeddingModelProviders)[0]
+      ];
+    const embeddingModel =
+      embeddingProvider[
+        body.embeddingModel?.name || Object.keys(embeddingProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+    let embedding = embeddingModel.model;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        apiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
+
+    if (!embedding) {
+      return Response.json(
+        { error: 'Invalid embedding model' },
+        { status: 400 },
+      );
+    }
+
     const humanMessageId =
       message.messageId ?? crypto.randomBytes(7).toString('hex');
 

src/app/api/config/route.ts

@@ -1,76 +1,134 @@
-import configManager from '@/lib/config';
-import ModelRegistry from '@/lib/models/registry';
-import { NextRequest, NextResponse } from 'next/server';
-import { ConfigModelProvider } from '@/lib/config/types';
+import {
+  getAnthropicApiKey,
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+  getGeminiApiKey,
+  getGroqApiKey,
+  getOllamaApiEndpoint,
+  getOpenaiApiKey,
+  getDeepseekApiKey,
+  getAimlApiKey,
+  getLMStudioApiEndpoint,
+  getLemonadeApiEndpoint,
+  getLemonadeApiKey,
+  updateConfig,
+  getOllamaApiKey,
+} from '@/lib/config';
+import {
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
 
-type SaveConfigBody = {
-  key: string;
-  value: string;
-};
-
-export const GET = async (req: NextRequest) => {
+export const GET = async (req: Request) => {
   try {
-    const values = configManager.getCurrentConfig();
-    const fields = configManager.getUIConfigSections();
+    const config: Record<string, any> = {};
 
-    const modelRegistry = new ModelRegistry();
-    const modelProviders = await modelRegistry.getActiveProviders();
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
+    ]);
 
-    values.modelProviders = values.modelProviders.map(
-      (mp: ConfigModelProvider) => {
-        const activeProvider = modelProviders.find((p) => p.id === mp.id);
+    config['chatModelProviders'] = {};
+    config['embeddingModelProviders'] = {};
 
+    for (const provider in chatModelProviders) {
+      config['chatModelProviders'][provider] = Object.keys(
+        chatModelProviders[provider],
+      ).map((model) => {
         return {
-          ...mp,
-          chatModels: activeProvider?.chatModels ?? mp.chatModels,
-          embeddingModels:
-            activeProvider?.embeddingModels ?? mp.embeddingModels,
+          name: model,
+          displayName: chatModelProviders[provider][model].displayName,
         };
-      },
-    );
-
-    return NextResponse.json({
-      values,
-      fields,
-    });
-  } catch (err) {
-    console.error('Error in getting config: ', err);
-    return Response.json(
-      { message: 'An error has occurred.' },
-      { status: 500 },
-    );
-  }
-};
-
-export const POST = async (req: NextRequest) => {
-  try {
-    const body: SaveConfigBody = await req.json();
-
-    if (!body.key || !body.value) {
-      return Response.json(
-        {
-          message: 'Key and value are required.',
-        },
-        {
-          status: 400,
-        },
-      );
+      });
     }
 
-    configManager.updateConfig(body.key, body.value);
+    for (const provider in embeddingModelProviders) {
+      config['embeddingModelProviders'][provider] = Object.keys(
+        embeddingModelProviders[provider],
+      ).map((model) => {
+        return {
+          name: model,
+          displayName: embeddingModelProviders[provider][model].displayName,
+        };
+      });
+    }
 
-    return Response.json(
-      {
-        message: 'Config updated successfully.',
-      },
-      {
-        status: 200,
-      },
-    );
+    config['openaiApiKey'] = getOpenaiApiKey();
+    config['ollamaApiUrl'] = getOllamaApiEndpoint();
+    config['ollamaApiKey'] = getOllamaApiKey();
+    config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
+    config['lemonadeApiUrl'] = getLemonadeApiEndpoint();
+    config['lemonadeApiKey'] = getLemonadeApiKey();
+    config['anthropicApiKey'] = getAnthropicApiKey();
+    config['groqApiKey'] = getGroqApiKey();
+    config['geminiApiKey'] = getGeminiApiKey();
+    config['deepseekApiKey'] = getDeepseekApiKey();
+    config['aimlApiKey'] = getAimlApiKey();
+    config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
+    config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
+    config['customOpenaiModelName'] = getCustomOpenaiModelName();
+
+    return Response.json({ ...config }, { status: 200 });
   } catch (err) {
-    console.error('Error in getting config: ', err);
+    console.error('An error occurred while getting config:', err);
     return Response.json(
-      { message: 'An error has occurred.' },
+      { message: 'An error occurred while getting config' },
+      { status: 500 },
+    );
+  }
+};
+
+export const POST = async (req: Request) => {
+  try {
+    const config = await req.json();
+
+    const updatedConfig = {
+      MODELS: {
+        OPENAI: {
+          API_KEY: config.openaiApiKey,
+        },
+        GROQ: {
+          API_KEY: config.groqApiKey,
+        },
+        ANTHROPIC: {
+          API_KEY: config.anthropicApiKey,
+        },
+        GEMINI: {
+          API_KEY: config.geminiApiKey,
+        },
+        OLLAMA: {
+          API_URL: config.ollamaApiUrl,
+          API_KEY: config.ollamaApiKey,
+        },
+        DEEPSEEK: {
+          API_KEY: config.deepseekApiKey,
+        },
+        AIMLAPI: {
+          API_KEY: config.aimlApiKey,
+        },
+        LM_STUDIO: {
+          API_URL: config.lmStudioApiUrl,
+        },
+        LEMONADE: {
+          API_URL: config.lemonadeApiUrl,
+          API_KEY: config.lemonadeApiKey,
+        },
+        CUSTOM_OPENAI: {
+          API_URL: config.customOpenaiApiUrl,
+          API_KEY: config.customOpenaiApiKey,
+          MODEL_NAME: config.customOpenaiModelName,
+        },
+      },
+    };
+
+    updateConfig(updatedConfig);
+
+    return Response.json({ message: 'Config updated' }, { status: 200 });
+  } catch (err) {
+    console.error('An error occurred while updating config:', err);
+    return Response.json(
+      { message: 'An error occurred while updating config' },
       { status: 500 },
     );
   }

src/app/api/config/setup-complete/route.ts

@@ -1,23 +0,0 @@
-import configManager from '@/lib/config';
-import { NextRequest } from 'next/server';
-
-export const POST = async (req: NextRequest) => {
-  try {
-    configManager.markSetupComplete();
-
-    return Response.json(
-      {
-        message: 'Setup marked as complete.',
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err) {
-    console.error('Error marking setup as complete: ', err);
-    return Response.json(
-      { message: 'An error has occurred.' },
-      { status: 500 },
-    );
-  }
-};

src/app/api/images/route.ts

@@ -1,12 +1,23 @@
 import handleImageSearch from '@/lib/chains/imageSearchAgent';
-import ModelRegistry from '@/lib/models/registry';
-import { ModelWithProvider } from '@/lib/models/types';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { getAvailableChatModelProviders } from '@/lib/providers';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { ChatOpenAI } from '@langchain/openai';
+
+interface ChatModel {
+  provider: string;
+  model: string;
+}
 
 interface ImageSearchBody {
   query: string;
   chatHistory: any[];
-  chatModel: ModelWithProvider;
+  chatModel?: ChatModel;
 }
 
 export const POST = async (req: Request) => {
@@ -23,12 +34,35 @@ export const POST = async (req: Request) => {
       })
       .filter((msg) => msg !== undefined) as BaseMessage[];
 
-    const registry = new ModelRegistry();
+    const chatModelProviders = await getAvailableChatModelProviders();
 
-    const llm = await registry.loadChatModel(
-      body.chatModel.providerId,
-      body.chatModel.key,
-    );
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.model || Object.keys(chatModelProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        apiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
 
     const images = await handleImageSearch(
       {

src/app/api/models/route.ts

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

src/app/api/providers/[id]/models/route.ts

@@ -1,94 +0,0 @@
-import ModelRegistry from '@/lib/models/registry';
-import { Model } from '@/lib/models/types';
-import { NextRequest } from 'next/server';
-
-export const POST = async (
-  req: NextRequest,
-  { params }: { params: Promise<{ id: string }> },
-) => {
-  try {
-    const { id } = await params;
-
-    const body: Partial<Model> & { type: 'embedding' | 'chat' } =
-      await req.json();
-
-    if (!body.key || !body.name) {
-      return Response.json(
-        {
-          message: 'Key and name must be provided',
-        },
-        {
-          status: 400,
-        },
-      );
-    }
-
-    const registry = new ModelRegistry();
-
-    await registry.addProviderModel(id, body.type, body);
-
-    return Response.json(
-      {
-        message: 'Model added successfully',
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err) {
-    console.error('An error occurred while adding provider model', err);
-    return Response.json(
-      {
-        message: 'An error has occurred.',
-      },
-      {
-        status: 500,
-      },
-    );
-  }
-};
-
-export const DELETE = async (
-  req: NextRequest,
-  { params }: { params: Promise<{ id: string }> },
-) => {
-  try {
-    const { id } = await params;
-
-    const body: { key: string; type: 'embedding' | 'chat' } = await req.json();
-
-    if (!body.key) {
-      return Response.json(
-        {
-          message: 'Key and name must be provided',
-        },
-        {
-          status: 400,
-        },
-      );
-    }
-
-    const registry = new ModelRegistry();
-
-    await registry.removeProviderModel(id, body.type, body.key);
-
-    return Response.json(
-      {
-        message: 'Model added successfully',
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err) {
-    console.error('An error occurred while deleting provider model', err);
-    return Response.json(
-      {
-        message: 'An error has occurred.',
-      },
-      {
-        status: 500,
-      },
-    );
-  }
-};

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

@@ -1,89 +0,0 @@
-import ModelRegistry from '@/lib/models/registry';
-import { NextRequest } from 'next/server';
-
-export const DELETE = async (
-  req: NextRequest,
-  { params }: { params: Promise<{ id: string }> },
-) => {
-  try {
-    const { id } = await params;
-
-    if (!id) {
-      return Response.json(
-        {
-          message: 'Provider ID is required.',
-        },
-        {
-          status: 400,
-        },
-      );
-    }
-
-    const registry = new ModelRegistry();
-    await registry.removeProvider(id);
-
-    return Response.json(
-      {
-        message: 'Provider deleted successfully.',
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err: any) {
-    console.error('An error occurred while deleting provider', err.message);
-    return Response.json(
-      {
-        message: 'An error has occurred.',
-      },
-      {
-        status: 500,
-      },
-    );
-  }
-};
-
-export const PATCH = async (
-  req: NextRequest,
-  { params }: { params: Promise<{ id: string }> },
-) => {
-  try {
-    const body = await req.json();
-    const { name, config } = body;
-    const { id } = await params;
-
-    if (!id || !name || !config) {
-      return Response.json(
-        {
-          message: 'Missing required fields.',
-        },
-        {
-          status: 400,
-        },
-      );
-    }
-
-    const registry = new ModelRegistry();
-
-    const updatedProvider = await registry.updateProvider(id, name, config);
-
-    return Response.json(
-      {
-        provider: updatedProvider,
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err: any) {
-    console.error('An error occurred while updating provider', err.message);
-    return Response.json(
-      {
-        message: 'An error has occurred.',
-      },
-      {
-        status: 500,
-      },
-    );
-  }
-};

src/app/api/providers/route.ts

@@ -1,74 +0,0 @@
-import ModelRegistry from '@/lib/models/registry';
-import { NextRequest } from 'next/server';
-
-export const GET = async (req: Request) => {
-  try {
-    const registry = new ModelRegistry();
-
-    const activeProviders = await registry.getActiveProviders();
-
-    const filteredProviders = activeProviders.filter((p) => {
-      return !p.chatModels.some((m) => m.key === 'error');
-    });
-
-    return Response.json(
-      {
-        providers: filteredProviders,
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err) {
-    console.error('An error occurred while fetching providers', err);
-    return Response.json(
-      {
-        message: 'An error has occurred.',
-      },
-      {
-        status: 500,
-      },
-    );
-  }
-};
-
-export const POST = async (req: NextRequest) => {
-  try {
-    const body = await req.json();
-    const { type, name, config } = body;
-
-    if (!type || !name || !config) {
-      return Response.json(
-        {
-          message: 'Missing required fields.',
-        },
-        {
-          status: 400,
-        },
-      );
-    }
-
-    const registry = new ModelRegistry();
-
-    const newProvider = await registry.addProvider(type, name, config);
-
-    return Response.json(
-      {
-        provider: newProvider,
-      },
-      {
-        status: 200,
-      },
-    );
-  } catch (err) {
-    console.error('An error occurred while creating provider', err);
-    return Response.json(
-      {
-        message: 'An error has occurred.',
-      },
-      {
-        status: 500,
-      },
-    );
-  }
-};

src/app/api/search/route.ts

@@ -1,14 +1,36 @@
+import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import type { Embeddings } from '@langchain/core/embeddings';
+import { ChatOpenAI } from '@langchain/openai';
+import {
+  getAvailableChatModelProviders,
+  getAvailableEmbeddingModelProviders,
+} from '@/lib/providers';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
 import { MetaSearchAgentType } from '@/lib/search/metaSearchAgent';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
 import { searchHandlers } from '@/lib/search';
-import ModelRegistry from '@/lib/models/registry';
-import { ModelWithProvider } from '@/lib/models/types';
+
+interface chatModel {
+  provider: string;
+  name: string;
+  customOpenAIKey?: string;
+  customOpenAIBaseURL?: string;
+}
+
+interface embeddingModel {
+  provider: string;
+  name: string;
+}
 
 interface ChatRequestBody {
   optimizationMode: 'speed' | 'balanced';
   focusMode: string;
-  chatModel: ModelWithProvider;
-  embeddingModel: ModelWithProvider;
+  chatModel?: chatModel;
+  embeddingModel?: embeddingModel;
   query: string;
   history: Array<[string, string]>;
   stream?: boolean;
@@ -36,16 +58,60 @@ export const POST = async (req: Request) => {
         : new AIMessage({ content: msg[1] });
     });
 
-    const registry = new ModelRegistry();
-
-    const [llm, embeddings] = await Promise.all([
-      registry.loadChatModel(body.chatModel.providerId, body.chatModel.key),
-      registry.loadEmbeddingModel(
-        body.embeddingModel.providerId,
-        body.embeddingModel.key,
-      ),
+    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
+      getAvailableChatModelProviders(),
+      getAvailableEmbeddingModelProviders(),
     ]);
 
+    const chatModelProvider =
+      body.chatModel?.provider || Object.keys(chatModelProviders)[0];
+    const chatModel =
+      body.chatModel?.name ||
+      Object.keys(chatModelProviders[chatModelProvider])[0];
+
+    const embeddingModelProvider =
+      body.embeddingModel?.provider || Object.keys(embeddingModelProviders)[0];
+    const embeddingModel =
+      body.embeddingModel?.name ||
+      Object.keys(embeddingModelProviders[embeddingModelProvider])[0];
+
+    let llm: BaseChatModel | undefined;
+    let embeddings: Embeddings | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        modelName: body.chatModel?.name || getCustomOpenaiModelName(),
+        apiKey: body.chatModel?.customOpenAIKey || getCustomOpenaiApiKey(),
+        temperature: 0.7,
+        configuration: {
+          baseURL:
+            body.chatModel?.customOpenAIBaseURL || getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (
+      chatModelProviders[chatModelProvider] &&
+      chatModelProviders[chatModelProvider][chatModel]
+    ) {
+      llm = chatModelProviders[chatModelProvider][chatModel]
+        .model as unknown as BaseChatModel | undefined;
+    }
+
+    if (
+      embeddingModelProviders[embeddingModelProvider] &&
+      embeddingModelProviders[embeddingModelProvider][embeddingModel]
+    ) {
+      embeddings = embeddingModelProviders[embeddingModelProvider][
+        embeddingModel
+      ].model as Embeddings | undefined;
+    }
+
+    if (!llm || !embeddings) {
+      return Response.json(
+        { message: 'Invalid model selected' },
+        { status: 400 },
+      );
+    }
+
     const searchHandler: MetaSearchAgentType = searchHandlers[body.focusMode];
 
     if (!searchHandler) {

src/app/api/suggestions/route.ts

@@ -1,12 +1,22 @@
 import generateSuggestions from '@/lib/chains/suggestionGeneratorAgent';
-import ModelRegistry from '@/lib/models/registry';
-import { ModelWithProvider } from '@/lib/models/types';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { getAvailableChatModelProviders } from '@/lib/providers';
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { ChatOpenAI } from '@langchain/openai';
+
+interface ChatModel {
+  provider: string;
+  model: string;
+}
 
 interface SuggestionsGenerationBody {
   chatHistory: any[];
-  chatModel: ModelWithProvider;
+  chatModel?: ChatModel;
 }
 
 export const POST = async (req: Request) => {
@@ -23,12 +33,35 @@ export const POST = async (req: Request) => {
       })
       .filter((msg) => msg !== undefined) as BaseMessage[];
 
-    const registry = new ModelRegistry();
+    const chatModelProviders = await getAvailableChatModelProviders();
 
-    const llm = await registry.loadChatModel(
-      body.chatModel.providerId,
-      body.chatModel.key,
-    );
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.model || Object.keys(chatModelProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        apiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
 
     const suggestions = await generateSuggestions(
       {

src/app/api/uploads/route.ts

@@ -2,11 +2,11 @@ import { NextResponse } from 'next/server';
 import fs from 'fs';
 import path from 'path';
 import crypto from 'crypto';
+import { getAvailableEmbeddingModelProviders } from '@/lib/providers';
 import { PDFLoader } from '@langchain/community/document_loaders/fs/pdf';
 import { DocxLoader } from '@langchain/community/document_loaders/fs/docx';
 import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters';
-import { Document } from '@langchain/core/documents';
-import ModelRegistry from '@/lib/models/registry';
+import { Document } from 'langchain/document';
 
 interface FileRes {
   fileName: string;
@@ -30,8 +30,8 @@ export async function POST(req: Request) {
     const formData = await req.formData();
 
     const files = formData.getAll('files') as File[];
-    const embedding_model = formData.get('embedding_model_key') as string;
-    const embedding_model_provider = formData.get('embedding_model_provider_id') as string;
+    const embedding_model = formData.get('embedding_model');
+    const embedding_model_provider = formData.get('embedding_model_provider');
 
     if (!embedding_model || !embedding_model_provider) {
       return NextResponse.json(
@@ -40,9 +40,20 @@ export async function POST(req: Request) {
       );
     }
 
-    const registry = new ModelRegistry();
+    const embeddingModels = await getAvailableEmbeddingModelProviders();
+    const provider =
+      embedding_model_provider ?? Object.keys(embeddingModels)[0];
+    const embeddingModel =
+      embedding_model ?? Object.keys(embeddingModels[provider as string])[0];
 
-    const model = await registry.loadEmbeddingModel(embedding_model_provider, embedding_model);
+    let embeddingsModel =
+      embeddingModels[provider as string]?.[embeddingModel as string]?.model;
+    if (!embeddingsModel) {
+      return NextResponse.json(
+        { message: 'Invalid embedding model selected' },
+        { status: 400 },
+      );
+    }
 
     const processedFiles: FileRes[] = [];
 
@@ -87,7 +98,7 @@ export async function POST(req: Request) {
           }),
         );
 
-        const embeddings = await model.embedDocuments(
+        const embeddings = await embeddingsModel.embedDocuments(
           splitted.map((doc) => doc.pageContent),
         );
         const embeddingsDataPath = filePath.replace(

src/app/api/videos/route.ts

@@ -1,12 +1,23 @@
 import handleVideoSearch from '@/lib/chains/videoSearchAgent';
-import ModelRegistry from '@/lib/models/registry';
-import { ModelWithProvider } from '@/lib/models/types';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '@/lib/config';
+import { getAvailableChatModelProviders } from '@/lib/providers';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
+import { ChatOpenAI } from '@langchain/openai';
+
+interface ChatModel {
+  provider: string;
+  model: string;
+}
 
 interface VideoSearchBody {
   query: string;
   chatHistory: any[];
-  chatModel: ModelWithProvider;
+  chatModel?: ChatModel;
 }
 
 export const POST = async (req: Request) => {
@@ -23,12 +34,35 @@ export const POST = async (req: Request) => {
       })
       .filter((msg) => msg !== undefined) as BaseMessage[];
 
-    const registry = new ModelRegistry();
+    const chatModelProviders = await getAvailableChatModelProviders();
 
-    const llm = await registry.loadChatModel(
-      body.chatModel.providerId,
-      body.chatModel.key,
-    );
+    const chatModelProvider =
+      chatModelProviders[
+        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
+      ];
+    const chatModel =
+      chatModelProvider[
+        body.chatModel?.model || Object.keys(chatModelProvider)[0]
+      ];
+
+    let llm: BaseChatModel | undefined;
+
+    if (body.chatModel?.provider === 'custom_openai') {
+      llm = new ChatOpenAI({
+        apiKey: getCustomOpenaiApiKey(),
+        modelName: getCustomOpenaiModelName(),
+        temperature: 0.7,
+        configuration: {
+          baseURL: getCustomOpenaiApiUrl(),
+        },
+      }) as unknown as BaseChatModel;
+    } else if (chatModelProvider && chatModel) {
+      llm = chatModel.model;
+    }
+
+    if (!llm) {
+      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
+    }
 
     const videos = await handleVideoSearch(
       {

src/app/globals.css

@@ -5,7 +5,7 @@
 @font-face {
   font-family: 'PP Editorial';
   src: url('/fonts/pp-ed-ul.otf') format('opentype');
-  font-weight: 300;
+  font-weight: 200;
   font-style: normal;
   font-display: swap;
 }
@@ -18,66 +18,6 @@
   .overflow-hidden-scrollable::-webkit-scrollbar {
     display: none;
   }
-
-  * {
-    scrollbar-width: thin;
-    scrollbar-color: #e8edf1 transparent; /* light-200 */
-  }
-
-  *::-webkit-scrollbar {
-    width: 6px;
-    height: 6px;
-  }
-
-  *::-webkit-scrollbar-track {
-    background: transparent;
-  }
-
-  *::-webkit-scrollbar-thumb {
-    background: #e8edf1; /* light-200 */
-    border-radius: 3px;
-    transition: background 0.2s ease;
-  }
-
-  *::-webkit-scrollbar-thumb:hover {
-    background: #d0d7de; /* light-300 */
-  }
-
-  @media (prefers-color-scheme: dark) {
-    * {
-      scrollbar-color: #21262d transparent; /* dark-200 */
-    }
-
-    *::-webkit-scrollbar-thumb {
-      background: #21262d; /* dark-200 */
-    }
-
-    *::-webkit-scrollbar-thumb:hover {
-      background: #30363d; /* dark-300 */
-    }
-  }
-
-  :root.dark *,
-  html.dark *,
-  body.dark * {
-    scrollbar-color: #21262d transparent; /* dark-200 */
-  }
-
-  :root.dark *::-webkit-scrollbar-thumb,
-  html.dark *::-webkit-scrollbar-thumb,
-  body.dark *::-webkit-scrollbar-thumb {
-    background: #21262d; /* dark-200 */
-  }
-
-  :root.dark *::-webkit-scrollbar-thumb:hover,
-  html.dark *::-webkit-scrollbar-thumb:hover,
-  body.dark *::-webkit-scrollbar-thumb:hover {
-    background: #30363d; /* dark-300 */
-  }
-
-  html {
-    scroll-behavior: smooth;
-  }
 }
 
 @layer utilities {
@@ -85,7 +25,6 @@
     display: -webkit-box;
     -webkit-box-orient: vertical;
     -webkit-line-clamp: 2;
-    line-clamp: 2;
     overflow: hidden;
   }
 }

src/app/layout.tsx

@@ -1,5 +1,3 @@
-export const dynamic = 'force-dynamic';
-
 import type { Metadata } from 'next';
 import { Montserrat } from 'next/font/google';
 import './globals.css';
@@ -7,8 +5,6 @@ import { cn } from '@/lib/utils';
 import Sidebar from '@/components/Sidebar';
 import { Toaster } from 'sonner';
 import ThemeProvider from '@/components/theme/Provider';
-import configManager from '@/lib/config';
-import SetupWizard from '@/components/Setup/SetupWizard';
 
 const montserrat = Montserrat({
   weight: ['300', '400', '500', '700'],
@@ -28,29 +24,20 @@ export default function RootLayout({
 }: Readonly<{
   children: React.ReactNode;
 }>) {
-  const setupComplete = configManager.isSetupComplete();
-  const configSections = configManager.getUIConfigSections();
-
   return (
     <html className="h-full" lang="en" suppressHydrationWarning>
       <body className={cn('h-full', montserrat.className)}>
         <ThemeProvider>
-          {setupComplete ? (
-            <>
-              <Sidebar>{children}</Sidebar>
-              <Toaster
-                toastOptions={{
-                  unstyled: true,
-                  classNames: {
-                    toast:
-                      'bg-light-secondary dark:bg-dark-secondary dark:text-white/70 text-black-70 rounded-lg p-4 flex flex-row items-center space-x-2',
-                  },
-                }}
-              />
-            </>
-          ) : (
-            <SetupWizard configSections={configSections} />
-          )}
+          <Sidebar>{children}</Sidebar>
+          <Toaster
+            toastOptions={{
+              unstyled: true,
+              classNames: {
+                toast:
+                  'bg-light-primary dark:bg-dark-secondary dark:text-white/70 text-black-70 rounded-lg p-4 flex flex-row items-center space-x-2',
+              },
+            }}
+          />
         </ThemeProvider>
       </body>
     </html>

src/components/Chat.tsx

@@ -16,7 +16,7 @@ const Chat = () => {
   useEffect(() => {
     const updateDividerWidth = () => {
       if (dividerRef.current) {
-        setDividerWidth(dividerRef.current.offsetWidth);
+        setDividerWidth(dividerRef.current.scrollWidth);
       }
     };
 
@@ -31,22 +31,13 @@ const Chat = () => {
 
   useEffect(() => {
     const scroll = () => {
-      messageEnd.current?.scrollIntoView({ behavior: 'auto' });
+      messageEnd.current?.scrollIntoView({ behavior: 'smooth' });
     };
 
     if (chatTurns.length === 1) {
       document.title = `${chatTurns[0].content.substring(0, 30)} - Perplexica`;
     }
 
-    const messageEndBottom =
-      messageEnd.current?.getBoundingClientRect().bottom ?? 0;
-
-    const distanceFromMessageEnd = window.innerHeight - messageEndBottom;
-
-    if (distanceFromMessageEnd >= -100) {
-      scroll();
-    }
-
     if (chatTurns[chatTurns.length - 1]?.role === 'user') {
       scroll();
     }

src/components/ChatWindow.tsx

@@ -8,7 +8,6 @@ import { Settings } from 'lucide-react';
 import Link from 'next/link';
 import NextError from 'next/error';
 import { useChat } from '@/lib/hooks/useChat';
-import Loader from './ui/Loader';
 
 export interface BaseMessage {
   chatId: string;
@@ -86,7 +85,22 @@ const ChatWindow = () => {
     )
   ) : (
     <div className="flex flex-row items-center justify-center min-h-screen">
-      <Loader />
+      <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>
   );
 };

src/components/EmptyChat.tsx

@@ -4,13 +4,14 @@ import { File } from './ChatWindow';
 import Link from 'next/link';
 import WeatherWidget from './WeatherWidget';
 import NewsArticleWidget from './NewsArticleWidget';
-import SettingsButtonMobile from '@/components/Settings/SettingsButtonMobile';
 
 const EmptyChat = () => {
   return (
     <div className="relative">
       <div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
-        <SettingsButtonMobile />
+        <Link href="/settings">
+          <Settings className="cursor-pointer lg:hidden" />
+        </Link>
       </div>
       <div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-4">
         <div className="flex flex-col items-center justify-center w-full space-y-8">

src/components/EmptyChatMessageInput.tsx

@@ -5,7 +5,6 @@ import Focus from './MessageInputActions/Focus';
 import Optimization from './MessageInputActions/Optimization';
 import Attach from './MessageInputActions/Attach';
 import { useChat } from '@/lib/hooks/useChat';
-import ModelSelector from './MessageInputActions/ChatModelSelector';
 
 const EmptyChatMessageInput = () => {
   const { sendMessage } = useChat();
@@ -55,26 +54,25 @@ const EmptyChatMessageInput = () => {
       }}
       className="w-full"
     >
-      <div className="flex flex-col bg-light-secondary dark:bg-dark-secondary px-3 pt-5 pb-3 rounded-2xl w-full border border-light-200 dark:border-dark-200 shadow-sm shadow-light-200/10 dark:shadow-black/20 transition-all duration-200 focus-within:border-light-300 dark:focus-within:border-dark-300">
+      <div className="flex flex-col bg-light-secondary dark:bg-dark-secondary px-5 pt-5 pb-2 rounded-2xl w-full border border-light-200 dark:border-dark-200 shadow-sm shadow-light-200/10 dark:shadow-black/20 transition-all duration-200 focus-within:border-light-300 dark:focus-within:border-dark-300">
         <TextareaAutosize
           ref={inputRef}
           value={message}
           onChange={(e) => setMessage(e.target.value)}
           minRows={2}
-          className="px-2 bg-transparent placeholder:text-[15px] placeholder:text-black/50 dark:placeholder:text-white/50 text-sm text-black dark:text-white resize-none focus:outline-none w-full max-h-24 lg:max-h-36 xl:max-h-48"
+          className="bg-transparent placeholder:text-black/50 dark:placeholder:text-white/50 text-sm text-black dark:text-white resize-none focus:outline-none w-full max-h-24 lg:max-h-36 xl:max-h-48"
           placeholder="Ask anything..."
         />
         <div className="flex flex-row items-center justify-between mt-4">
-          <Optimization />
-          <div className="flex flex-row items-center space-x-2">
-            <div className="flex flex-row items-center space-x-1">
-              <ModelSelector />
-              <Focus />
-              <Attach />
-            </div>
+          <div className="flex flex-row items-center space-x-2 lg:space-x-4">
+            <Focus />
+            <Attach showText />
+          </div>
+          <div className="flex flex-row items-center space-x-1 sm:space-x-4">
+            <Optimization />
             <button
               disabled={message.trim().length === 0}
-              className="bg-sky-500 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"
+              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"
             >
               <ArrowRight className="bg-background" size={17} />
             </button>

src/components/MessageInputActions/Attach.tsx

@@ -5,19 +5,11 @@ import {
   PopoverPanel,
   Transition,
 } from '@headlessui/react';
-import {
-  CopyPlus,
-  File,
-  Link,
-  LoaderCircle,
-  Paperclip,
-  Plus,
-  Trash,
-} from 'lucide-react';
+import { CopyPlus, File, LoaderCircle, Plus, Trash } from 'lucide-react';
 import { Fragment, useRef, useState } from 'react';
 import { useChat } from '@/lib/hooks/useChat';
 
-const Attach = () => {
+const Attach = ({ showText }: { showText?: boolean }) => {
   const { files, setFiles, setFileIds, fileIds } = useChat();
 
   const [loading, setLoading] = useState(false);
@@ -32,12 +24,12 @@ const Attach = () => {
     }
 
     const embeddingModelProvider = localStorage.getItem(
-      'embeddingModelProviderId',
+      'embeddingModelProvider',
     );
-    const embeddingModel = localStorage.getItem('embeddingModelKey');
+    const embeddingModel = localStorage.getItem('embeddingModel');
 
-    data.append('embedding_model_provider_id', embeddingModelProvider!);
-    data.append('embedding_model_key', embeddingModel!);
+    data.append('embedding_model_provider', embeddingModelProvider!);
+    data.append('embedding_model', embeddingModel!);
 
     const res = await fetch(`/api/uploads`, {
       method: 'POST',
@@ -52,16 +44,42 @@ const Attach = () => {
   };
 
   return loading ? (
-    <div className="active:border-none hover:bg-light-200 hover:dark:bg-dark-200 p-2 rounded-lg focus:outline-none text-black/50 dark:text-white/50 transition duration-200">
-      <LoaderCircle size={16} className="text-sky-400 animate-spin" />
+    <div className="flex flex-row items-center justify-between space-x-1">
+      <LoaderCircle size={18} className="text-sky-400 animate-spin" />
+      <p className="text-sky-400 inline whitespace-nowrap text-xs font-medium">
+        Uploading..
+      </p>
     </div>
   ) : files.length > 0 ? (
     <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
       <PopoverButton
         type="button"
-        className="active:border-none hover:bg-light-200 hover:dark:bg-dark-200 p-2 rounded-lg focus:outline-none headless-open:text-black dark:headless-open:text-white text-black/50 dark:text-white/50 active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
+        className={cn(
+          'flex flex-row items-center justify-between space-x-1 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',
+          files.length > 0 ? '-ml-2 lg:-ml-3' : '',
+        )}
       >
-        <File size={16} className="text-sky-400" />
+        {files.length > 1 && (
+          <>
+            <File size={19} className="text-sky-400" />
+            <p className="text-sky-400 inline whitespace-nowrap text-xs font-medium">
+              {files.length} files
+            </p>
+          </>
+        )}
+
+        {files.length === 1 && (
+          <>
+            <File size={18} className="text-sky-400" />
+            <p className="text-sky-400 text-xs font-medium">
+              {files[0].fileName.length > 10
+                ? files[0].fileName.replace(/\.\w+$/, '').substring(0, 3) +
+                  '...' +
+                  files[0].fileExtension
+                : files[0].fileName}
+            </p>
+          </>
+        )}
       </PopoverButton>
       <Transition
         as={Fragment}
@@ -82,7 +100,7 @@ const Attach = () => {
                 <button
                   type="button"
                   onClick={() => fileInputRef.current.click()}
-                  className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200 focus:outline-none"
+                  className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200"
                 >
                   <input
                     type="file"
@@ -92,7 +110,7 @@ const Attach = () => {
                     multiple
                     hidden
                   />
-                  <Plus size={16} />
+                  <Plus size={18} />
                   <p className="text-xs">Add</p>
                 </button>
                 <button
@@ -100,7 +118,7 @@ const Attach = () => {
                     setFiles([]);
                     setFileIds([]);
                   }}
-                  className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200 focus:outline-none"
+                  className="flex flex-row items-center space-x-1 text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white transition duration-200"
                 >
                   <Trash size={14} />
                   <p className="text-xs">Clear</p>
@@ -139,7 +157,8 @@ const Attach = () => {
       type="button"
       onClick={() => fileInputRef.current.click()}
       className={cn(
-        'flex items-center justify-center active:border-none hover:bg-light-200 hover:dark:bg-dark-200 p-2 rounded-lg focus:outline-none headless-open:text-black dark:headless-open:text-white text-black/50 dark:text-white/50 active:scale-95 transition duration-200 hover:text-black dark:hover:text-white',
+        'flex flex-row items-center space-x-1 text-black/50 dark:text-white/50 rounded-xl hover:bg-light-secondary dark:hover:bg-dark-secondary transition duration-200 hover:text-black dark:hover:text-white',
+        showText ? '' : 'p-2',
       )}
     >
       <input
@@ -150,7 +169,8 @@ const Attach = () => {
         multiple
         hidden
       />
-      <Paperclip size={16} />
+      <CopyPlus size={showText ? 18 : undefined} />
+      {showText && <p className="text-xs font-medium pl-[1px]">Attach</p>}
     </button>
   );
 };

src/components/MessageInputActions/AttachSmall.tsx

@@ -5,14 +5,7 @@ import {
   PopoverPanel,
   Transition,
 } from '@headlessui/react';
-import {
-  CopyPlus,
-  File,
-  LoaderCircle,
-  Paperclip,
-  Plus,
-  Trash,
-} from 'lucide-react';
+import { CopyPlus, File, LoaderCircle, Plus, Trash } from 'lucide-react';
 import { Fragment, useRef, useState } from 'react';
 import { File as FileType } from '../ChatWindow';
 import { useChat } from '@/lib/hooks/useChat';
@@ -32,12 +25,12 @@ const AttachSmall = () => {
     }
 
     const embeddingModelProvider = localStorage.getItem(
-      'embeddingModelProviderId',
+      'embeddingModelProvider',
     );
-    const embeddingModel = localStorage.getItem('embeddingModelKey');
+    const embeddingModel = localStorage.getItem('embeddingModel');
 
-    data.append('embedding_model_provider_id', embeddingModelProvider!);
-    data.append('embedding_model_key', embeddingModel!);
+    data.append('embedding_model_provider', embeddingModelProvider!);
+    data.append('embedding_model', embeddingModel!);
 
     const res = await fetch(`/api/uploads`, {
       method: 'POST',
@@ -52,7 +45,7 @@ const AttachSmall = () => {
   };
 
   return loading ? (
-    <div className="flex flex-row items-center justify-between space-x-1 p-1 ">
+    <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 ? (
@@ -148,7 +141,7 @@ const AttachSmall = () => {
         multiple
         hidden
       />
-      <Paperclip size={16} />
+      <CopyPlus size={20} />
     </button>
   );
 };

src/components/MessageInputActions/ChatModelSelector.tsx

@@ -1,198 +0,0 @@
-'use client';
-
-import { Cpu, Loader2, Search } from 'lucide-react';
-import { cn } from '@/lib/utils';
-import {
-  Popover,
-  PopoverButton,
-  PopoverPanel,
-  Transition,
-} from '@headlessui/react';
-import { Fragment, useEffect, useState } from 'react';
-import { MinimalProvider } from '@/lib/models/types';
-
-const ModelSelector = () => {
-  const [providers, setProviders] = useState<MinimalProvider[]>([]);
-  const [isLoading, setIsLoading] = useState(true);
-  const [searchQuery, setSearchQuery] = useState('');
-  const [selectedModel, setSelectedModel] = useState<{
-    providerId: string;
-    modelKey: string;
-  } | null>(null);
-
-  useEffect(() => {
-    const loadProviders = async () => {
-      try {
-        setIsLoading(true);
-        const res = await fetch('/api/providers');
-
-        if (!res.ok) {
-          throw new Error('Failed to fetch providers');
-        }
-
-        const data = await res.json();
-        setProviders(data.providers || []);
-
-        const savedProviderId = localStorage.getItem('chatModelProviderId');
-        const savedModelKey = localStorage.getItem('chatModelKey');
-
-        if (savedProviderId && savedModelKey) {
-          setSelectedModel({
-            providerId: savedProviderId,
-            modelKey: savedModelKey,
-          });
-        } else if (data.providers && data.providers.length > 0) {
-          const firstProvider = data.providers.find(
-            (p: MinimalProvider) => p.chatModels.length > 0,
-          );
-          if (firstProvider && firstProvider.chatModels[0]) {
-            setSelectedModel({
-              providerId: firstProvider.id,
-              modelKey: firstProvider.chatModels[0].key,
-            });
-          }
-        }
-      } catch (error) {
-        console.error('Error loading providers:', error);
-      } finally {
-        setIsLoading(false);
-      }
-    };
-
-    loadProviders();
-  }, []);
-
-  const handleModelSelect = (providerId: string, modelKey: string) => {
-    setSelectedModel({ providerId, modelKey });
-    localStorage.setItem('chatModelProviderId', providerId);
-    localStorage.setItem('chatModelKey', modelKey);
-  };
-
-  const filteredProviders = providers
-    .map((provider) => ({
-      ...provider,
-      chatModels: provider.chatModels.filter(
-        (model) =>
-          model.name.toLowerCase().includes(searchQuery.toLowerCase()) ||
-          provider.name.toLowerCase().includes(searchQuery.toLowerCase()),
-      ),
-    }))
-    .filter((provider) => provider.chatModels.length > 0);
-
-  return (
-    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
-      <PopoverButton
-        type="button"
-        className="active:border-none hover:bg-light-200  hover:dark:bg-dark-200 p-2 rounded-lg focus:outline-none headless-open:text-black dark:headless-open:text-white text-black/50 dark:text-white/50 active:scale-95 transition duration-200 hover:text-black dark:hover:text-white"
-      >
-        <Cpu size={16} className="text-sky-500" />
-      </PopoverButton>
-      <Transition
-        as={Fragment}
-        enter="transition ease-out duration-100"
-        enterFrom="opacity-0 translate-y-1"
-        enterTo="opacity-100 translate-y-0"
-        leave="transition ease-in duration-100"
-        leaveFrom="opacity-100 translate-y-0"
-        leaveTo="opacity-0 translate-y-1"
-      >
-        <PopoverPanel className="absolute z-10 w-[230px] sm:w-[270px] md:w-[300px] -right-4">
-          <div className="bg-light-primary dark:bg-dark-primary max-h-[300px] sm:max-w-none border rounded-lg border-light-200 dark:border-dark-200 w-full flex flex-col shadow-lg overflow-hidden">
-            <div className="p-4 border-b border-light-200 dark:border-dark-200">
-              <div className="relative">
-                <Search
-                  size={16}
-                  className="absolute left-3 top-1/2 -translate-y-1/2 text-black/40 dark:text-white/40"
-                />
-                <input
-                  type="text"
-                  placeholder="Search models..."
-                  value={searchQuery}
-                  onChange={(e) => setSearchQuery(e.target.value)}
-                  className="w-full pl-9 pr-3 py-2 bg-light-secondary dark:bg-dark-secondary rounded-lg placeholder:text-sm text-sm text-black dark:text-white placeholder:text-black/40 dark:placeholder:text-white/40 focus:outline-none focus:ring-2 focus:ring-sky-500/20 border border-transparent focus:border-sky-500/30 transition duration-200"
-                />
-              </div>
-            </div>
-
-            <div className="max-h-[320px] overflow-y-auto">
-              {isLoading ? (
-                <div className="flex items-center justify-center py-16">
-                  <Loader2
-                    className="animate-spin text-black/40 dark:text-white/40"
-                    size={24}
-                  />
-                </div>
-              ) : filteredProviders.length === 0 ? (
-                <div className="text-center py-16 px-4 text-black/60 dark:text-white/60 text-sm">
-                  {searchQuery
-                    ? 'No models found'
-                    : 'No chat models configured'}
-                </div>
-              ) : (
-                <div className="flex flex-col">
-                  {filteredProviders.map((provider, providerIndex) => (
-                    <div key={provider.id}>
-                      <div className="px-4 py-2.5 sticky top-0 bg-light-primary dark:bg-dark-primary border-b border-light-200/50 dark:border-dark-200/50">
-                        <p className="text-xs text-black/50 dark:text-white/50 uppercase tracking-wider">
-                          {provider.name}
-                        </p>
-                      </div>
-
-                      <div className="flex flex-col px-2 py-2 space-y-0.5">
-                        {provider.chatModels.map((model) => (
-                          <PopoverButton
-                            key={model.key}
-                            onClick={() =>
-                              handleModelSelect(provider.id, model.key)
-                            }
-                            className={cn(
-                              'px-3 py-2 flex items-center justify-between text-start duration-200 cursor-pointer transition rounded-lg group',
-                              selectedModel?.providerId === provider.id &&
-                                selectedModel?.modelKey === model.key
-                                ? 'bg-light-secondary dark:bg-dark-secondary'
-                                : 'hover:bg-light-secondary dark:hover:bg-dark-secondary',
-                            )}
-                          >
-                            <div className="flex items-center space-x-2.5 min-w-0 flex-1">
-                              <Cpu
-                                size={15}
-                                className={cn(
-                                  'shrink-0',
-                                  selectedModel?.providerId === provider.id &&
-                                    selectedModel?.modelKey === model.key
-                                    ? 'text-sky-500'
-                                    : 'text-black/50 dark:text-white/50 group-hover:text-black/70 group-hover:dark:text-white/70',
-                                )}
-                              />
-                              <p
-                                className={cn(
-                                  'text-sm truncate',
-                                  selectedModel?.providerId === provider.id &&
-                                    selectedModel?.modelKey === model.key
-                                    ? 'text-sky-500 font-medium'
-                                    : 'text-black/70 dark:text-white/70 group-hover:text-black dark:group-hover:text-white',
-                                )}
-                              >
-                                {model.name}
-                              </p>
-                            </div>
-                          </PopoverButton>
-                        ))}
-                      </div>
-
-                      {providerIndex < filteredProviders.length - 1 && (
-                        <div className="h-px bg-light-200 dark:bg-dark-200" />
-                      )}
-                    </div>
-                  ))}
-                </div>
-              )}
-            </div>
-          </div>
-        </PopoverPanel>
-      </Transition>
-    </Popover>
-  );
-};
-
-export default ModelSelector;

src/components/MessageInputActions/Focus.tsx

@@ -22,13 +22,13 @@ const focusModes = [
     key: 'webSearch',
     title: 'All',
     description: 'Searches across all of the internet',
-    icon: <Globe size={16} />,
+    icon: <Globe size={20} />,
   },
   {
     key: 'academicSearch',
     title: 'Academic',
     description: 'Search in published academic papers',
-    icon: <SwatchBook size={16} />,
+    icon: <SwatchBook size={20} />,
   },
   {
     key: 'writingAssistant',
@@ -40,19 +40,19 @@ const focusModes = [
     key: 'wolframAlphaSearch',
     title: 'Wolfram Alpha',
     description: 'Computational knowledge engine',
-    icon: <BadgePercent size={16} />,
+    icon: <BadgePercent size={20} />,
   },
   {
     key: 'youtubeSearch',
     title: 'Youtube',
     description: 'Search and watch videos',
-    icon: <SiYoutube className="h-[16px] w-auto mr-0.5" />,
+    icon: <SiYoutube className="h-5 w-auto mr-0.5" />,
   },
   {
     key: 'redditSearch',
     title: 'Reddit',
     description: 'Search for discussions and opinions',
-    icon: <SiReddit className="h-[16px] w-auto mr-0.5" />,
+    icon: <SiReddit className="h-5 w-auto mr-0.5" />,
   },
 ];
 
@@ -60,18 +60,23 @@ const Focus = () => {
   const { focusMode, setFocusMode } = useChat();
 
   return (
-    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
+    <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg mt-[6.5px]">
       <PopoverButton
         type="button"
-        className="active:border-none hover:bg-light-200 hover:dark:bg-dark-200 p-2 rounded-lg focus:outline-none headless-open:text-black dark:headless-open:text-white text-black/50 dark:text-white/50 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">
             {focusModes.find((mode) => mode.key === focusMode)?.icon}
+            <p className="text-xs font-medium hidden lg:block">
+              {focusModes.find((mode) => mode.key === focusMode)?.title}
+            </p>
+            <ChevronDown size={20} className="-translate-x-1" />
           </div>
         ) : (
           <div className="flex flex-row items-center space-x-1">
-            <Globe size={16} />
+            <ScanEye size={20} />
+            <p className="text-xs font-medium hidden lg:block">Focus</p>
           </div>
         )}
       </PopoverButton>
@@ -84,14 +89,14 @@ const Focus = () => {
         leaveFrom="opacity-100 translate-y-0"
         leaveTo="opacity-0 translate-y-1"
       >
-        <PopoverPanel className="absolute z-10 w-64 md:w-[500px] -right-4">
+        <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) => (
               <PopoverButton
                 onClick={() => setFocusMode(mode.key)}
                 key={i}
                 className={cn(
-                  'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-2 duration-200 cursor-pointer transition focus:outline-none',
+                  'p-2 rounded-lg flex flex-col items-start justify-start text-start space-y-2 duration-200 cursor-pointer transition',
                   focusMode === mode.key
                     ? 'bg-light-secondary dark:bg-dark-secondary'
                     : 'hover:bg-light-secondary dark:hover:bg-dark-secondary',

src/components/MessageInputActions/Optimization.tsx

@@ -14,13 +14,13 @@ const OptimizationModes = [
     key: 'speed',
     title: 'Speed',
     description: 'Prioritize speed and get the quickest possible answer.',
-    icon: <Zap size={16} className="text-[#FF9800]" />,
+    icon: <Zap size={20} className="text-[#FF9800]" />,
   },
   {
     key: 'balanced',
     title: 'Balanced',
     description: 'Find the right balance between speed and accuracy',
-    icon: <Sliders size={16} className="text-[#4CAF50]" />,
+    icon: <Sliders size={20} className="text-[#4CAF50]" />,
   },
   {
     key: 'quality',
@@ -40,64 +40,60 @@ const Optimization = () => {
 
   return (
     <Popover className="relative w-full max-w-[15rem] md:max-w-md lg:max-w-lg">
-      {({ open }) => (
-        <>
-          <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 focus:outline-none"
-          >
-            <div className="flex flex-row items-center space-x-1">
-              {
-                OptimizationModes.find((mode) => mode.key === optimizationMode)
-                  ?.icon
-              }
-              <ChevronDown
-                size={16}
+      <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(
-                  open ? 'rotate-180' : 'rotate-0',
-                  'transition duration:200',
+                  '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>
-          </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] left-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 focus:outline-none',
-                      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>
-        </>
-      )}
+              >
+                <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>
   );
 };

src/components/SearchImages.tsx

@@ -33,10 +33,11 @@ const SearchImages = ({
           onClick={async () => {
             setLoading(true);
 
-            const chatModelProvider = localStorage.getItem(
-              'chatModelProviderId',
-            );
-            const chatModel = localStorage.getItem('chatModelKey');
+            const chatModelProvider = localStorage.getItem('chatModelProvider');
+            const chatModel = localStorage.getItem('chatModel');
+
+            const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
+            const customOpenAIKey = localStorage.getItem('openAIApiKey');
 
             const res = await fetch(`/api/images`, {
               method: 'POST',
@@ -47,8 +48,12 @@ const SearchImages = ({
                 query: query,
                 chatHistory: chatHistory,
                 chatModel: {
-                  providerId: chatModelProvider,
-                  key: chatModel,
+                  provider: chatModelProvider,
+                  model: chatModel,
+                  ...(chatModelProvider === 'custom_openai' && {
+                    customOpenAIBaseURL: customOpenAIBaseURL,
+                    customOpenAIKey: customOpenAIKey,
+                  }),
                 },
               }),
             });

src/components/SearchVideos.tsx

@@ -48,10 +48,11 @@ const Searchvideos = ({
           onClick={async () => {
             setLoading(true);
 
-            const chatModelProvider = localStorage.getItem(
-              'chatModelProviderId',
-            );
-            const chatModel = localStorage.getItem('chatModelKey');
+            const chatModelProvider = localStorage.getItem('chatModelProvider');
+            const chatModel = localStorage.getItem('chatModel');
+
+            const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
+            const customOpenAIKey = localStorage.getItem('openAIApiKey');
 
             const res = await fetch(`/api/videos`, {
               method: 'POST',
@@ -62,8 +63,12 @@ const Searchvideos = ({
                 query: query,
                 chatHistory: chatHistory,
                 chatModel: {
-                  providerId: chatModelProvider,
-                  key: chatModel,
+                  provider: chatModelProvider,
+                  model: chatModel,
+                  ...(chatModelProvider === 'custom_openai' && {
+                    customOpenAIBaseURL: customOpenAIBaseURL,
+                    customOpenAIKey: customOpenAIKey,
+                  }),
                 },
               }),
             });

src/components/Settings/Sections/General.tsx

@@ -1,29 +0,0 @@
-import { UIConfigField } from '@/lib/config/types';
-import SettingsField from '../SettingsField';
-
-const General = ({
-  fields,
-  values,
-}: {
-  fields: UIConfigField[];
-  values: Record<string, any>;
-}) => {
-  return (
-    <div className="flex-1 space-y-6 overflow-y-auto px-6 py-6">
-      {fields.map((field) => (
-        <SettingsField
-          key={field.key}
-          field={field}
-          value={
-            (field.scope === 'client'
-              ? localStorage.getItem(field.key)
-              : values[field.key]) ?? field.default
-          }
-          dataAdd="general"
-        />
-      ))}
-    </div>
-  );
-};
-
-export default General;

src/components/Settings/Sections/Models/AddModelDialog.tsx

@@ -1,163 +0,0 @@
-import { Dialog, DialogPanel } from '@headlessui/react';
-import { Loader2, Plus } from 'lucide-react';
-import { useState } from 'react';
-import { AnimatePresence, motion } from 'framer-motion';
-import { ConfigModelProvider } from '@/lib/config/types';
-import { toast } from 'sonner';
-
-const AddModel = ({
-  providerId,
-  setProviders,
-  type,
-}: {
-  providerId: string;
-  setProviders: React.Dispatch<React.SetStateAction<ConfigModelProvider[]>>;
-  type: 'chat' | 'embedding';
-}) => {
-  const [open, setOpen] = useState(false);
-  const [modelName, setModelName] = useState('');
-  const [modelKey, setModelKey] = useState('');
-  const [loading, setLoading] = useState(false);
-
-  const handleSubmit = async (e: React.FormEvent) => {
-    e.preventDefault();
-    setLoading(true);
-    try {
-      const res = await fetch(`/api/providers/${providerId}/models`, {
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-        body: JSON.stringify({
-          name: modelName,
-          key: modelKey,
-          type: type,
-        }),
-      });
-
-      if (!res.ok) {
-        throw new Error('Failed to add model');
-      }
-
-      setProviders((prev) =>
-        prev.map((provider) => {
-          if (provider.id === providerId) {
-            const newModel = { name: modelName, key: modelKey };
-            return {
-              ...provider,
-              chatModels:
-                type === 'chat'
-                  ? [...provider.chatModels, newModel]
-                  : provider.chatModels,
-              embeddingModels:
-                type === 'embedding'
-                  ? [...provider.embeddingModels, newModel]
-                  : provider.embeddingModels,
-            };
-          }
-          return provider;
-        }),
-      );
-
-      toast.success('Model added successfully.');
-      setModelName('');
-      setModelKey('');
-      setOpen(false);
-    } catch (error) {
-      console.error('Error adding model:', error);
-      toast.error('Failed to add model.');
-    } finally {
-      setLoading(false);
-    }
-  };
-
-  return (
-    <>
-      <button
-        onClick={() => setOpen(true)}
-        className="text-xs text-black/70 dark:text-white/70 hover:text-black hover:dark:text-white flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
-      >
-        <Plus size={12} />
-        <span>Add</span>
-      </button>
-      <AnimatePresence>
-        {open && (
-          <Dialog
-            static
-            open={open}
-            onClose={() => setOpen(false)}
-            className="relative z-[60]"
-          >
-            <motion.div
-              initial={{ opacity: 0 }}
-              animate={{ opacity: 1 }}
-              exit={{ opacity: 0 }}
-              transition={{ duration: 0.1 }}
-              className="fixed inset-0 flex w-screen items-center justify-center p-4 bg-black/30 backdrop-blur-sm"
-            >
-              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
-                <div className="px-6 pt-6 pb-4">
-                  <h3 className="text-black/90 dark:text-white/90 font-medium">
-                    Add new {type === 'chat' ? 'chat' : 'embedding'} model
-                  </h3>
-                </div>
-                <div className="border-t border-light-200 dark:border-dark-200" />
-                <div className="flex-1 overflow-y-auto px-6 py-4">
-                  <form
-                    onSubmit={handleSubmit}
-                    className="flex flex-col h-full"
-                  >
-                    <div className="flex flex-col space-y-4 flex-1">
-                      <div className="flex flex-col items-start space-y-2">
-                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Model name*
-                        </label>
-                        <input
-                          value={modelName}
-                          onChange={(e) => setModelName(e.target.value)}
-                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                          placeholder="e.g., GPT-4"
-                          type="text"
-                          required
-                        />
-                      </div>
-                      <div className="flex flex-col items-start space-y-2">
-                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Model key*
-                        </label>
-                        <input
-                          value={modelKey}
-                          onChange={(e) => setModelKey(e.target.value)}
-                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                          placeholder="e.g., gpt-4"
-                          type="text"
-                          required
-                        />
-                      </div>
-                    </div>
-                    <div className="border-t border-light-200 dark:border-dark-200 -mx-6 my-4" />
-                    <div className="flex justify-end">
-                      <button
-                        type="submit"
-                        disabled={loading}
-                        className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
-                      >
-                        {loading ? (
-                          <Loader2 className="animate-spin" size={16} />
-                        ) : (
-                          'Add Model'
-                        )}
-                      </button>
-                    </div>
-                  </form>
-                </div>
-              </DialogPanel>
-            </motion.div>
-          </Dialog>
-        )}
-      </AnimatePresence>
-    </>
-  );
-};
-
-export default AddModel;

src/components/Settings/Sections/Models/AddProviderDialog.tsx

@@ -1,216 +0,0 @@
-import {
-  Description,
-  Dialog,
-  DialogPanel,
-  DialogTitle,
-} from '@headlessui/react';
-import { Loader2, Plus } from 'lucide-react';
-import { useMemo, useState } from 'react';
-import { AnimatePresence, motion } from 'framer-motion';
-import {
-  ConfigModelProvider,
-  ModelProviderUISection,
-  StringUIConfigField,
-  UIConfigField,
-} from '@/lib/config/types';
-import Select from '@/components/ui/Select';
-import { toast } from 'sonner';
-
-const AddProvider = ({
-  modelProviders,
-  setProviders,
-}: {
-  modelProviders: ModelProviderUISection[];
-  setProviders: React.Dispatch<React.SetStateAction<ConfigModelProvider[]>>;
-}) => {
-  const [open, setOpen] = useState(false);
-  const [selectedProvider, setSelectedProvider] = useState<null | string>(
-    modelProviders[0]?.key || null,
-  );
-  const [config, setConfig] = useState<Record<string, any>>({});
-  const [name, setName] = useState('');
-  const [loading, setLoading] = useState(false);
-
-  const providerConfigMap = useMemo(() => {
-    const map: Record<string, { name: string; fields: UIConfigField[] }> = {};
-
-    modelProviders.forEach((p) => {
-      map[p.key] = {
-        name: p.name,
-        fields: p.fields,
-      };
-    });
-
-    return map;
-  }, [modelProviders]);
-
-  const selectedProviderFields = useMemo(() => {
-    if (!selectedProvider) return [];
-    const providerFields = providerConfigMap[selectedProvider]?.fields || [];
-    const config: Record<string, any> = {};
-
-    providerFields.forEach((field) => {
-      config[field.key] = field.default || '';
-    });
-
-    setConfig(config);
-
-    return providerFields;
-  }, [selectedProvider, providerConfigMap]);
-
-  const handleSubmit = async (e: React.FormEvent) => {
-    e.preventDefault();
-    setLoading(true);
-    try {
-      const res = await fetch('/api/providers', {
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-        body: JSON.stringify({
-          type: selectedProvider,
-          name: name,
-          config: config,
-        }),
-      });
-
-      if (!res.ok) {
-        throw new Error('Failed to add provider');
-      }
-
-      const data: ConfigModelProvider = (await res.json()).provider;
-
-      setProviders((prev) => [...prev, data]);
-
-      toast.success('Provider added successfully.');
-    } catch (error) {
-      console.error('Error adding provider:', error);
-      toast.error('Failed to add provider.');
-    } finally {
-      setLoading(false);
-      setOpen(false);
-    }
-  };
-
-  return (
-    <>
-      <button
-        onClick={() => setOpen(true)}
-        className="px-3 md:px-4 py-1.5 md:py-2 rounded-lg text-xs sm:text-sm border border-light-200 dark:border-dark-200 text-black dark:text-white bg-light-secondary/50 dark:bg-dark-secondary/50 hover:bg-light-secondary hover:dark:bg-dark-secondary hover:border-light-300 hover:dark:border-dark-300 flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
-      >
-        <Plus className="w-3.5 h-3.5 md:w-4 md:h-4" />
-        <span>Add Provider</span>
-      </button>
-      <AnimatePresence>
-        {open && (
-          <Dialog
-            static
-            open={open}
-            onClose={() => setOpen(false)}
-            className="relative z-[60]"
-          >
-            <motion.div
-              initial={{ opacity: 0 }}
-              animate={{ opacity: 1 }}
-              exit={{ opacity: 0 }}
-              transition={{ duration: 0.1 }}
-              className="fixed inset-0 flex w-screen items-center justify-center p-4 bg-black/30 backdrop-blur-sm"
-            >
-              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
-                <form onSubmit={handleSubmit} className="flex flex-col flex-1">
-                  <div className="px-6 pt-6 pb-4">
-                    <h3 className="text-black/90 dark:text-white/90 font-medium">
-                      Add new provider
-                    </h3>
-                  </div>
-                  <div className="border-t border-light-200 dark:border-dark-200" />
-                  <div className="flex-1 overflow-y-auto px-6 py-4">
-                    <div className="flex flex-col space-y-4">
-                      <div className="flex flex-col items-start space-y-2">
-                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Select provider type
-                        </label>
-                        <Select
-                          value={selectedProvider ?? ''}
-                          onChange={(e) => setSelectedProvider(e.target.value)}
-                          options={Object.entries(providerConfigMap).map(
-                            ([key, val]) => {
-                              return {
-                                label: val.name,
-                                value: key,
-                              };
-                            },
-                          )}
-                        />
-                      </div>
-
-                      <div
-                        key="name"
-                        className="flex flex-col items-start space-y-2"
-                      >
-                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Name*
-                        </label>
-                        <input
-                          value={name}
-                          onChange={(e) => setName(e.target.value)}
-                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                          placeholder={'Provider Name'}
-                          type="text"
-                          required={true}
-                        />
-                      </div>
-
-                      {selectedProviderFields.map((field: UIConfigField) => (
-                        <div
-                          key={field.key}
-                          className="flex flex-col items-start space-y-2"
-                        >
-                          <label className="text-xs text-black/70 dark:text-white/70">
-                            {field.name}
-                            {field.required && '*'}
-                          </label>
-                          <input
-                            value={config[field.key] ?? field.default ?? ''}
-                            onChange={(event) =>
-                              setConfig((prev) => ({
-                                ...prev,
-                                [field.key]: event.target.value,
-                              }))
-                            }
-                            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                            placeholder={
-                              (field as StringUIConfigField).placeholder
-                            }
-                            type="text"
-                            required={field.required}
-                          />
-                        </div>
-                      ))}
-                    </div>
-                  </div>
-                  <div className="border-t border-light-200 dark:border-dark-200" />
-                  <div className="px-6 py-4 flex justify-end">
-                    <button
-                      type="submit"
-                      disabled={loading}
-                      className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
-                    >
-                      {loading ? (
-                        <Loader2 className="animate-spin" size={16} />
-                      ) : (
-                        'Add Provider'
-                      )}
-                    </button>
-                  </div>
-                </form>
-              </DialogPanel>
-            </motion.div>
-          </Dialog>
-        )}
-      </AnimatePresence>
-    </>
-  );
-};
-
-export default AddProvider;

src/components/Settings/Sections/Models/DeleteProviderDialog.tsx

@@ -1,118 +0,0 @@
-import { Dialog, DialogPanel } from '@headlessui/react';
-import { Loader2, Trash2 } from 'lucide-react';
-import { useState } from 'react';
-import { AnimatePresence, motion } from 'framer-motion';
-import { ConfigModelProvider } from '@/lib/config/types';
-import { toast } from 'sonner';
-
-const DeleteProvider = ({
-  modelProvider,
-  setProviders,
-}: {
-  modelProvider: ConfigModelProvider;
-  setProviders: React.Dispatch<React.SetStateAction<ConfigModelProvider[]>>;
-}) => {
-  const [open, setOpen] = useState(false);
-  const [loading, setLoading] = useState(false);
-
-  const handleDelete = async (e: React.FormEvent) => {
-    e.preventDefault();
-    setLoading(true);
-    try {
-      const res = await fetch(`/api/providers/${modelProvider.id}`, {
-        method: 'DELETE',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      if (!res.ok) {
-        throw new Error('Failed to delete provider');
-      }
-
-      setProviders((prev) => {
-        return prev.filter((p) => p.id !== modelProvider.id);
-      });
-
-      toast.success('Provider deleted successfully.');
-    } catch (error) {
-      console.error('Error deleting provider:', error);
-      toast.error('Failed to delete provider.');
-    } finally {
-      setLoading(false);
-    }
-  };
-
-  return (
-    <>
-      <button
-        onClick={(e) => {
-          e.stopPropagation();
-          setOpen(true);
-        }}
-        className="group p-1.5 rounded-md hover:bg-light-200 hover:dark:bg-dark-200 transition-colors group"
-        title="Delete provider"
-      >
-        <Trash2
-          size={14}
-          className="text-black/60 dark:text-white/60 group-hover:text-red-500 group-hover:dark:text-red-400"
-        />
-      </button>
-      <AnimatePresence>
-        {open && (
-          <Dialog
-            static
-            open={open}
-            onClose={() => setOpen(false)}
-            className="relative z-[60]"
-          >
-            <motion.div
-              initial={{ opacity: 0 }}
-              animate={{ opacity: 1 }}
-              exit={{ opacity: 0 }}
-              transition={{ duration: 0.1 }}
-              className="fixed inset-0 flex w-screen items-center justify-center p-4 bg-black/30 backdrop-blur-sm"
-            >
-              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
-                <div className="px-6 pt-6 pb-4">
-                  <h3 className="text-black/90 dark:text-white/90 font-medium">
-                    Delete provider
-                  </h3>
-                </div>
-                <div className="border-t border-light-200 dark:border-dark-200" />
-                <div className="flex-1 overflow-y-auto px-6 py-4">
-                  <p className="text-SM text-black/60 dark:text-white/60">
-                    Are you sure you want to delete the provider &quot;
-                    {modelProvider.name}&quot;? This action cannot be undone.
-                  </p>
-                </div>
-                <div className="px-6 py-6 flex justify-end space-x-2">
-                  <button
-                    disabled={loading}
-                    onClick={() => setOpen(false)}
-                    className="px-4 py-2 rounded-lg text-sm border border-light-200 dark:border-dark-200 text-black dark:text-white bg-light-secondary/50 dark:bg-dark-secondary/50 hover:bg-light-secondary hover:dark:bg-dark-secondary hover:border-light-300 hover:dark:border-dark-300 flex flex-row items-center space-x-1 active:scale-95 transition duration-200"
-                  >
-                    Cancel
-                  </button>
-                  <button
-                    disabled={loading}
-                    onClick={handleDelete}
-                    className="px-4 py-2 rounded-lg text-sm bg-red-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
-                  >
-                    {loading ? (
-                      <Loader2 className="animate-spin" size={16} />
-                    ) : (
-                      'Delete'
-                    )}
-                  </button>
-                </div>
-              </DialogPanel>
-            </motion.div>
-          </Dialog>
-        )}
-      </AnimatePresence>
-    </>
-  );
-};
-
-export default DeleteProvider;

src/components/Settings/Sections/Models/ModelProvider.tsx

@@ -1,217 +0,0 @@
-import { UIConfigField, ConfigModelProvider } from '@/lib/config/types';
-import { cn } from '@/lib/utils';
-import { AnimatePresence, motion } from 'framer-motion';
-import { AlertCircle, ChevronDown, Pencil, Trash2, X } from 'lucide-react';
-import { useState } from 'react';
-import { toast } from 'sonner';
-import AddModel from './AddModelDialog';
-import UpdateProvider from './UpdateProviderDialog';
-import DeleteProvider from './DeleteProviderDialog';
-
-const ModelProvider = ({
-  modelProvider,
-  setProviders,
-  fields,
-}: {
-  modelProvider: ConfigModelProvider;
-  fields: UIConfigField[];
-  setProviders: React.Dispatch<React.SetStateAction<ConfigModelProvider[]>>;
-}) => {
-  const [open, setOpen] = useState(false);
-
-  const handleModelDelete = async (
-    type: 'chat' | 'embedding',
-    modelKey: string,
-  ) => {
-    try {
-      const res = await fetch(`/api/providers/${modelProvider.id}/models`, {
-        method: 'DELETE',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-        body: JSON.stringify({ key: modelKey, type: type }),
-      });
-
-      if (!res.ok) {
-        throw new Error('Failed to delete model: ' + (await res.text()));
-      }
-
-      setProviders(
-        (prev) =>
-          prev.map((provider) => {
-            if (provider.id === modelProvider.id) {
-              return {
-                ...provider,
-                ...(type === 'chat'
-                  ? {
-                      chatModels: provider.chatModels.filter(
-                        (m) => m.key !== modelKey,
-                      ),
-                    }
-                  : {
-                      embeddingModels: provider.embeddingModels.filter(
-                        (m) => m.key !== modelKey,
-                      ),
-                    }),
-              };
-            }
-            return provider;
-          }) as ConfigModelProvider[],
-      );
-
-      toast.success('Model deleted successfully.');
-    } catch (err) {
-      console.error('Failed to delete model', err);
-      toast.error('Failed to delete model.');
-    }
-  };
-
-  return (
-    <div
-      key={modelProvider.id}
-      className="border border-light-200 dark:border-dark-200 rounded-lg overflow-hidden"
-    >
-      <div
-        className={cn(
-          'group px-5 py-4 flex flex-row justify-between w-full cursor-pointer hover:bg-light-secondary hover:dark:bg-dark-secondary transition duration-200 items-center',
-          !open && 'rounded-lg',
-        )}
-        onClick={() => setOpen(!open)}
-      >
-        <p className="text-sm lg:text-base text-black dark:text-white font-medium">
-          {modelProvider.name}
-        </p>
-        <div className="flex items-center gap-4">
-          <div className="flex flex-row items-center">
-            <UpdateProvider
-              fields={fields}
-              modelProvider={modelProvider}
-              setProviders={setProviders}
-            />
-            <DeleteProvider
-              modelProvider={modelProvider}
-              setProviders={setProviders}
-            />
-          </div>
-          <ChevronDown
-            size={16}
-            className={cn(
-              open ? 'rotate-180' : '',
-              'transition duration-200 text-black/70 dark:text-white/70 group-hover:text-sky-500',
-            )}
-          />
-        </div>
-      </div>
-      <AnimatePresence>
-        {open && (
-          <motion.div
-            initial={{ height: 0, opacity: 0 }}
-            animate={{ height: 'auto', opacity: 1 }}
-            exit={{ height: 0, opacity: 0 }}
-            transition={{ duration: 0.1 }}
-          >
-            <div className="border-t border-light-200 dark:border-dark-200" />
-            <div className="flex flex-col gap-y-4 px-5 py-4">
-              {modelProvider.chatModels.length > 0 && (
-                <div className="flex flex-col gap-y-2">
-                  <div className="flex flex-row w-full justify-between items-center">
-                    <p className="text-[11px] lg:text-xs text-black/70 dark:text-white/70">
-                      Chat models
-                    </p>
-                    <AddModel
-                      providerId={modelProvider.id}
-                      setProviders={setProviders}
-                      type="chat"
-                    />
-                  </div>
-                  <div className="flex flex-col gap-2">
-                    {modelProvider.chatModels.some((m) => m.key === 'error') ? (
-                      <div className="flex flex-row items-center gap-2 text-xs lg:text-sm text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
-                        <AlertCircle size={16} className="shrink-0" />
-                        <span className="break-words">
-                          {
-                            modelProvider.chatModels.find(
-                              (m) => m.key === 'error',
-                            )?.name
-                          }
-                        </span>
-                      </div>
-                    ) : (
-                      <div className="flex flex-row flex-wrap gap-2">
-                        {modelProvider.chatModels.map((model, index) => (
-                          <div
-                            key={`${modelProvider.id}-chat-${model.key}-${index}`}
-                            className="flex flex-row items-center space-x-1 text-xs lg:text-sm text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5"
-                          >
-                            <span>{model.name}</span>
-                            <button
-                              onClick={() => {
-                                handleModelDelete('chat', model.key);
-                              }}
-                            >
-                              <X size={12} />
-                            </button>
-                          </div>
-                        ))}
-                      </div>
-                    )}
-                  </div>
-                </div>
-              )}
-              {modelProvider.embeddingModels.length > 0 && (
-                <div className="flex flex-col gap-y-2">
-                  <div className="flex flex-row w-full justify-between items-center">
-                    <p className="text-[11px] lg:text-xs text-black/70 dark:text-white/70">
-                      Embedding models
-                    </p>
-                    <AddModel
-                      providerId={modelProvider.id}
-                      setProviders={setProviders}
-                      type="embedding"
-                    />
-                  </div>
-                  <div className="flex flex-col gap-2">
-                    {modelProvider.embeddingModels.some(
-                      (m) => m.key === 'error',
-                    ) ? (
-                      <div className="flex flex-row items-center gap-2 text-xs lg:text-sm text-red-500 dark:text-red-400 rounded-lg bg-red-50 dark:bg-red-950/20 px-3 py-2 border border-red-200 dark:border-red-900/30">
-                        <AlertCircle size={16} className="shrink-0" />
-                        <span className="break-words">
-                          {
-                            modelProvider.embeddingModels.find(
-                              (m) => m.key === 'error',
-                            )?.name
-                          }
-                        </span>
-                      </div>
-                    ) : (
-                      <div className="flex flex-row flex-wrap gap-2">
-                        {modelProvider.embeddingModels.map((model, index) => (
-                          <div
-                            key={`${modelProvider.id}-embedding-${model.key}-${index}`}
-                            className="flex flex-row items-center space-x-1 text-xs lg:text-sm text-black/70 dark:text-white/70 rounded-lg bg-light-secondary dark:bg-dark-secondary px-3 py-1.5"
-                          >
-                            <span>{model.name}</span>
-                            <button
-                              onClick={() => {
-                                handleModelDelete('embedding', model.key);
-                              }}
-                            >
-                              <X size={12} />
-                            </button>
-                          </div>
-                        ))}
-                      </div>
-                    )}
-                  </div>
-                </div>
-              )}
-            </div>
-          </motion.div>
-        )}
-      </AnimatePresence>
-    </div>
-  );
-};
-
-export default ModelProvider;

src/components/Settings/Sections/Models/ModelSelect.tsx

@@ -1,89 +0,0 @@
-import Select from '@/components/ui/Select';
-import { ConfigModelProvider } from '@/lib/config/types';
-import { useState } from 'react';
-import { toast } from 'sonner';
-
-const ModelSelect = ({
-  providers,
-  type,
-}: {
-  providers: ConfigModelProvider[];
-  type: 'chat' | 'embedding';
-}) => {
-  const [selectedModel, setSelectedModel] = useState<string>(
-    type === 'chat'
-      ? `${localStorage.getItem('chatModelProviderId')}/${localStorage.getItem('chatModelKey')}`
-      : `${localStorage.getItem('embeddingModelProviderId')}/${localStorage.getItem('embeddingModelKey')}`,
-  );
-  const [loading, setLoading] = useState(false);
-
-  const handleSave = async (newValue: string) => {
-    setLoading(true);
-    setSelectedModel(newValue);
-
-    try {
-      if (type === 'chat') {
-        localStorage.setItem('chatModelProviderId', newValue.split('/')[0]);
-        localStorage.setItem(
-          'chatModelKey',
-          newValue.split('/').slice(1).join('/'),
-        );
-      } else {
-        localStorage.setItem(
-          'embeddingModelProviderId',
-          newValue.split('/')[0],
-        );
-        localStorage.setItem(
-          'embeddingModelKey',
-          newValue.split('/').slice(1).join('/'),
-        );
-      }
-    } catch (error) {
-      console.error('Error saving config:', error);
-      toast.error('Failed to save configuration.');
-    } finally {
-      setLoading(false);
-    }
-  };
-
-  return (
-    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
-      <div className="space-y-3 lg:space-y-5">
-        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
-            Select {type === 'chat' ? 'Chat Model' : 'Embedding Model'}
-          </h4>
-          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
-            {type === 'chat'
-              ? 'Select the model to use for chat responses'
-              : 'Select the model to use for embeddings'}
-          </p>
-        </div>
-        <Select
-          value={selectedModel}
-          onChange={(event) => handleSave(event.target.value)}
-          options={
-            type === 'chat'
-              ? providers.flatMap((provider) =>
-                  provider.chatModels.map((model) => ({
-                    value: `${provider.id}/${model.key}`,
-                    label: `${provider.name} - ${model.name}`,
-                  })),
-                )
-              : providers.flatMap((provider) =>
-                  provider.embeddingModels.map((model) => ({
-                    value: `${provider.id}/${model.key}`,
-                    label: `${provider.name} - ${model.name}`,
-                  })),
-                )
-          }
-          className="!text-xs lg:!text-sm"
-          loading={loading}
-          disabled={loading}
-        />
-      </div>
-    </section>
-  );
-};
-
-export default ModelSelect;

src/components/Settings/Sections/Models/Section.tsx

@@ -1,63 +0,0 @@
-import React, { useState } from 'react';
-import AddProvider from './AddProviderDialog';
-import {
-  ConfigModelProvider,
-  ModelProviderUISection,
-  UIConfigField,
-} from '@/lib/config/types';
-import ModelProvider from './ModelProvider';
-import ModelSelect from './ModelSelect';
-
-const Models = ({
-  fields,
-  values,
-}: {
-  fields: ModelProviderUISection[];
-  values: ConfigModelProvider[];
-}) => {
-  const [providers, setProviders] = useState<ConfigModelProvider[]>(values);
-
-  return (
-    <div className="flex-1 space-y-6 overflow-y-auto py-6">
-      <div className="flex flex-col px-6 gap-y-4">
-        <h3 className="text-xs lg:text-sm text-black/70 dark:text-white/70">
-          Select models
-        </h3>
-        <ModelSelect
-          providers={values.filter((p) =>
-            p.chatModels.some((m) => m.key != 'error'),
-          )}
-          type="chat"
-        />
-        <ModelSelect
-          providers={values.filter((p) =>
-            p.embeddingModels.some((m) => m.key != 'error'),
-          )}
-          type="embedding"
-        />
-      </div>
-      <div className="border-t border-light-200 dark:border-dark-200" />
-      <div className="flex flex-row justify-between items-center px-6 ">
-        <p className="text-xs lg:text-sm text-black/70 dark:text-white/70">
-          Manage model provider
-        </p>
-        <AddProvider modelProviders={fields} setProviders={setProviders} />
-      </div>
-      <div className="flex flex-col px-6 gap-y-4">
-        {providers.map((provider) => (
-          <ModelProvider
-            key={`provider-${provider.id}`}
-            fields={
-              (fields.find((f) => f.key === provider.type)?.fields ??
-                []) as UIConfigField[]
-            }
-            modelProvider={provider}
-            setProviders={setProviders}
-          />
-        ))}
-      </div>
-    </div>
-  );
-};
-
-export default Models;

src/components/Settings/Sections/Models/UpdateProviderDialog.tsx

@@ -1,188 +0,0 @@
-import { Dialog, DialogPanel } from '@headlessui/react';
-import { Loader2, Pencil } from 'lucide-react';
-import { useEffect, useState } from 'react';
-import { AnimatePresence, motion } from 'framer-motion';
-import {
-  ConfigModelProvider,
-  StringUIConfigField,
-  UIConfigField,
-} from '@/lib/config/types';
-import { toast } from 'sonner';
-
-const UpdateProvider = ({
-  modelProvider,
-  fields,
-  setProviders,
-}: {
-  fields: UIConfigField[];
-  modelProvider: ConfigModelProvider;
-  setProviders: React.Dispatch<React.SetStateAction<ConfigModelProvider[]>>;
-}) => {
-  const [open, setOpen] = useState(false);
-  const [config, setConfig] = useState<Record<string, any>>({});
-  const [name, setName] = useState(modelProvider.name);
-  const [loading, setLoading] = useState(false);
-
-  useEffect(() => {
-    const config: Record<string, any> = {
-      name: modelProvider.name,
-    };
-
-    fields.forEach((field) => {
-      config[field.key] =
-        modelProvider.config[field.key] || field.default || '';
-    });
-
-    setConfig(config);
-  }, [fields]);
-
-  const handleSubmit = async (e: React.FormEvent) => {
-    e.preventDefault();
-    setLoading(true);
-    try {
-      const res = await fetch(`/api/providers/${modelProvider.id}`, {
-        method: 'PATCH',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-        body: JSON.stringify({
-          name: name,
-          config: config,
-        }),
-      });
-
-      if (!res.ok) {
-        throw new Error('Failed to update provider');
-      }
-
-      const data: ConfigModelProvider = (await res.json()).provider;
-
-      setProviders((prev) => {
-        return prev.map((p) => {
-          if (p.id === modelProvider.id) {
-            return data;
-          }
-
-          return p;
-        });
-      });
-
-      toast.success('Provider updated successfully.');
-    } catch (error) {
-      console.error('Error updating provider:', error);
-      toast.error('Failed to update provider.');
-    } finally {
-      setLoading(false);
-      setOpen(false);
-    }
-  };
-
-  return (
-    <>
-      <button
-        onClick={(e) => {
-          e.stopPropagation();
-          setOpen(true);
-        }}
-        className="group p-1.5 rounded-md hover:bg-light-200 hover:dark:bg-dark-200 transition-colors group"
-      >
-        <Pencil
-          size={14}
-          className="text-black/60 dark:text-white/60 group-hover:text-black group-hover:dark:text-white"
-        />
-      </button>
-      <AnimatePresence>
-        {open && (
-          <Dialog
-            static
-            open={open}
-            onClose={() => setOpen(false)}
-            className="relative z-[60]"
-          >
-            <motion.div
-              initial={{ opacity: 0 }}
-              animate={{ opacity: 1 }}
-              exit={{ opacity: 0 }}
-              transition={{ duration: 0.1 }}
-              className="fixed inset-0 flex w-screen items-center justify-center p-4 bg-black/30 backdrop-blur-sm"
-            >
-              <DialogPanel className="w-full mx-4 lg:w-[600px] max-h-[85vh] flex flex-col border bg-light-primary dark:bg-dark-primary border-light-secondary dark:border-dark-secondary rounded-lg">
-                <form onSubmit={handleSubmit} className="flex flex-col flex-1">
-                  <div className="px-6 pt-6 pb-4">
-                    <h3 className="text-black/90 dark:text-white/90 font-medium">
-                      Update provider
-                    </h3>
-                  </div>
-                  <div className="border-t border-light-200 dark:border-dark-200" />
-                  <div className="flex-1 overflow-y-auto px-6 py-4">
-                    <div className="flex flex-col space-y-4">
-                      <div
-                        key="name"
-                        className="flex flex-col items-start space-y-2"
-                      >
-                        <label className="text-xs text-black/70 dark:text-white/70">
-                          Name*
-                        </label>
-                        <input
-                          value={name}
-                          onChange={(event) => setName(event.target.value)}
-                          className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                          placeholder={'Provider Name'}
-                          type="text"
-                          required={true}
-                        />
-                      </div>
-
-                      {fields.map((field: UIConfigField) => (
-                        <div
-                          key={field.key}
-                          className="flex flex-col items-start space-y-2"
-                        >
-                          <label className="text-xs text-black/70 dark:text-white/70">
-                            {field.name}
-                            {field.required && '*'}
-                          </label>
-                          <input
-                            value={config[field.key] ?? field.default ?? ''}
-                            onChange={(event) =>
-                              setConfig((prev) => ({
-                                ...prev,
-                                [field.key]: event.target.value,
-                              }))
-                            }
-                            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-4 py-3 pr-10 text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-                            placeholder={
-                              (field as StringUIConfigField).placeholder
-                            }
-                            type="text"
-                            required={field.required}
-                          />
-                        </div>
-                      ))}
-                    </div>
-                  </div>
-                  <div className="border-t border-light-200 dark:border-dark-200" />
-                  <div className="px-6 py-4 flex justify-end">
-                    <button
-                      type="submit"
-                      disabled={loading}
-                      className="px-4 py-2 rounded-lg text-sm bg-sky-500 text-white font-medium disabled:opacity-85 hover:opacity-85 active:scale-95 transition duration-200"
-                    >
-                      {loading ? (
-                        <Loader2 className="animate-spin" size={16} />
-                      ) : (
-                        'Update Provider'
-                      )}
-                    </button>
-                  </div>
-                </form>
-              </DialogPanel>
-            </motion.div>
-          </Dialog>
-        )}
-      </AnimatePresence>
-    </>
-  );
-};
-
-export default UpdateProvider;

src/components/Settings/Sections/Search.tsx

@@ -1,29 +0,0 @@
-import { UIConfigField } from '@/lib/config/types';
-import SettingsField from '../SettingsField';
-
-const Search = ({
-  fields,
-  values,
-}: {
-  fields: UIConfigField[];
-  values: Record<string, any>;
-}) => {
-  return (
-    <div className="flex-1 space-y-6 overflow-y-auto px-6 py-6">
-      {fields.map((field) => (
-        <SettingsField
-          key={field.key}
-          field={field}
-          value={
-            (field.scope === 'client'
-              ? localStorage.getItem(field.key)
-              : values[field.key]) ?? field.default
-          }
-          dataAdd="search"
-        />
-      ))}
-    </div>
-  );
-};
-
-export default Search;

src/components/Settings/SettingsButton.tsx

@@ -1,24 +0,0 @@
-import { Settings } from 'lucide-react';
-import { useState } from 'react';
-import SettingsDialogue from './SettingsDialogue';
-import { AnimatePresence } from 'framer-motion';
-
-const SettingsButton = () => {
-  const [isOpen, setIsOpen] = useState<boolean>(false);
-
-  return (
-    <>
-      <div
-        className="p-2.5 rounded-full bg-light-200 text-black/70 dark:bg-dark-200 dark:text-white/70 hover:opacity-70 hover:scale-105 transition duration-200 cursor-pointer active:scale-95"
-        onClick={() => setIsOpen(true)}
-      >
-        <Settings size={19} className="cursor-pointer" />
-      </div>
-      <AnimatePresence>
-        {isOpen && <SettingsDialogue isOpen={isOpen} setIsOpen={setIsOpen} />}
-      </AnimatePresence>
-    </>
-  );
-};
-
-export default SettingsButton;

src/components/Settings/SettingsButtonMobile.tsx

@@ -1,21 +0,0 @@
-import { Settings } from 'lucide-react';
-import { useState } from 'react';
-import SettingsDialogue from './SettingsDialogue';
-import { AnimatePresence } from 'framer-motion';
-
-const SettingsButtonMobile = () => {
-  const [isOpen, setIsOpen] = useState<boolean>(false);
-
-  return (
-    <>
-      <button className="lg:hidden" onClick={() => setIsOpen(true)}>
-        <Settings size={18}/>
-      </button>
-      <AnimatePresence>
-        {isOpen && <SettingsDialogue isOpen={isOpen} setIsOpen={setIsOpen} />}
-      </AnimatePresence>
-    </>
-  );
-};
-
-export default SettingsButtonMobile;

src/components/Settings/SettingsDialogue.tsx

@@ -1,194 +0,0 @@
-import { Dialog, DialogPanel } from '@headlessui/react';
-import {
-  ArrowLeft,
-  BrainCog,
-  ChevronLeft,
-  Search,
-  Settings,
-} from 'lucide-react';
-import General from './Sections/General';
-import { motion } from 'framer-motion';
-import { useEffect, useState } from 'react';
-import { toast } from 'sonner';
-import Loader from '../ui/Loader';
-import { cn } from '@/lib/utils';
-import Models from './Sections/Models/Section';
-import SearchSection from './Sections/Search';
-import Select from '@/components/ui/Select';
-
-const sections = [
-  {
-    key: 'general',
-    name: 'General',
-    description: 'Adjust common settings.',
-    icon: Settings,
-    component: General,
-    dataAdd: 'general',
-  },
-  {
-    key: 'models',
-    name: 'Models',
-    description: 'Configure model settings.',
-    icon: BrainCog,
-    component: Models,
-    dataAdd: 'modelProviders',
-  },
-  {
-    key: 'search',
-    name: 'Search',
-    description: 'Manage search settings.',
-    icon: Search,
-    component: SearchSection,
-    dataAdd: 'search',
-  },
-];
-
-const SettingsDialogue = ({
-  isOpen,
-  setIsOpen,
-}: {
-  isOpen: boolean;
-  setIsOpen: (active: boolean) => void;
-}) => {
-  const [isLoading, setIsLoading] = useState(true);
-  const [config, setConfig] = useState<any>(null);
-  const [activeSection, setActiveSection] = useState<string>(sections[0].key);
-  const [selectedSection, setSelectedSection] = useState(sections[0]);
-
-  useEffect(() => {
-    setSelectedSection(sections.find((s) => s.key === activeSection)!);
-  }, [activeSection]);
-
-  useEffect(() => {
-    if (isOpen) {
-      const fetchConfig = async () => {
-        try {
-          const res = await fetch('/api/config', {
-            method: 'GET',
-            headers: {
-              'Content-Type': 'application/json',
-            },
-          });
-
-          const data = await res.json();
-
-          setConfig(data);
-        } catch (error) {
-          console.error('Error fetching config:', error);
-          toast.error('Failed to load configuration.');
-        } finally {
-          setIsLoading(false);
-        }
-      };
-
-      fetchConfig();
-    }
-  }, [isOpen]);
-
-  return (
-    <Dialog
-      open={isOpen}
-      onClose={() => setIsOpen(false)}
-      className="relative z-50"
-    >
-      <motion.div
-        initial={{ opacity: 0 }}
-        animate={{ opacity: 1 }}
-        exit={{ opacity: 0 }}
-        transition={{ duration: 0.1 }}
-        className="fixed inset-0 flex w-screen items-center justify-center p-4 bg-black/30 backdrop-blur-sm h-screen"
-      >
-        <DialogPanel className="space-y-4 border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary backdrop-blur-lg rounded-xl h-[calc(100vh-2%)] w-[calc(100vw-2%)] md:h-[calc(100vh-7%)] md:w-[calc(100vw-7%)] lg:h-[calc(100vh-20%)] lg:w-[calc(100vw-30%)] overflow-hidden flex flex-col">
-          {isLoading ? (
-            <div className="flex items-center justify-center h-full w-full">
-              <Loader />
-            </div>
-          ) : (
-            <div className="flex flex-1 inset-0 h-full overflow-hidden">
-              <div className="hidden lg:flex flex-col w-[240px] border-r border-white-200 dark:border-dark-200 h-full px-3 pt-3 overflow-y-auto">
-                <button
-                  onClick={() => setIsOpen(false)}
-                  className="group flex flex-row items-center hover:bg-light-200 hover:dark:bg-dark-200 p-2 rounded-lg"
-                >
-                  <ChevronLeft
-                    size={18}
-                    className="text-black/50 dark:text-white/50 group-hover:text-black/70 group-hover:dark:text-white/70"
-                  />
-                  <p className="text-black/50 dark:text-white/50 group-hover:text-black/70 group-hover:dark:text-white/70 text-[14px]">
-                    Back
-                  </p>
-                </button>
-                <div className="flex flex-col items-start space-y-1 mt-8">
-                  {sections.map((section) => (
-                    <button
-                      key={section.dataAdd}
-                      className={cn(
-                        `flex flex-row items-center space-x-2 px-2 py-1.5 rounded-lg w-full text-sm hover:bg-light-200 hover:dark:bg-dark-200 transition duration-200 active:scale-95`,
-                        activeSection === section.key
-                          ? 'bg-light-200 dark:bg-dark-200 text-black/90 dark:text-white/90'
-                          : ' text-black/70 dark:text-white/70',
-                      )}
-                      onClick={() => setActiveSection(section.key)}
-                    >
-                      <section.icon size={17} />
-                      <p>{section.name}</p>
-                    </button>
-                  ))}
-                </div>
-              </div>
-              <div className="w-full flex flex-col overflow-hidden">
-                <div className="flex flex-row lg:hidden w-full justify-between px-[20px] my-4 flex-shrink-0">
-                  <button
-                    onClick={() => setIsOpen(false)}
-                    className="group flex flex-row items-center hover:bg-light-200 hover:dark:bg-dark-200 rounded-lg mr-[40%]"
-                  >
-                    <ArrowLeft
-                      size={18}
-                      className="text-black/50 dark:text-white/50 group-hover:text-black/70 group-hover:dark:text-white/70"
-                    />
-                  </button>
-                  <Select
-                    options={sections.map((section) => {
-                      return {
-                        value: section.key,
-                        key: section.key,
-                        label: section.name,
-                      };
-                    })}
-                    value={activeSection}
-                    onChange={(e) => {
-                      setActiveSection(e.target.value);
-                    }}
-                    className="!text-xs lg:!text-sm"
-                  />
-                </div>
-                {selectedSection.component && (
-                  <div className="flex flex-1 flex-col overflow-hidden">
-                    <div className="border-b border-light-200/60 px-6 pb-6 lg:pt-6 dark:border-dark-200/60 flex-shrink-0">
-                      <div className="flex flex-col">
-                        <h4 className="font-medium text-black dark:text-white text-sm lg:text-base">
-                          {selectedSection.name}
-                        </h4>
-                        <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
-                          {selectedSection.description}
-                        </p>
-                      </div>
-                    </div>
-                    <div className="flex-1 overflow-y-auto">
-                      <selectedSection.component
-                        fields={config.fields[selectedSection.dataAdd]}
-                        values={config.values[selectedSection.dataAdd]}
-                      />
-                    </div>
-                  </div>
-                )}
-              </div>
-            </div>
-          )}
-        </DialogPanel>
-      </motion.div>
-    </Dialog>
-  );
-};
-
-export default SettingsDialogue;

src/components/Settings/SettingsField.tsx

@@ -1,284 +0,0 @@
-import {
-  SelectUIConfigField,
-  StringUIConfigField,
-  TextareaUIConfigField,
-  UIConfigField,
-} from '@/lib/config/types';
-import { useState } from 'react';
-import Select from '../ui/Select';
-import { toast } from 'sonner';
-import { useTheme } from 'next-themes';
-import { Loader2 } from 'lucide-react';
-
-const SettingsSelect = ({
-  field,
-  value,
-  setValue,
-  dataAdd,
-}: {
-  field: SelectUIConfigField;
-  value?: any;
-  setValue: (value: any) => void;
-  dataAdd: string;
-}) => {
-  const [loading, setLoading] = useState(false);
-  const { setTheme } = useTheme();
-
-  const handleSave = async (newValue: any) => {
-    setLoading(true);
-    setValue(newValue);
-    try {
-      if (field.scope === 'client') {
-        localStorage.setItem(field.key, newValue);
-        if (field.key === 'theme') {
-          setTheme(newValue);
-        }
-      } else {
-        const res = await fetch('/api/config', {
-          method: 'POST',
-          headers: {
-            'Content-Type': 'application/json',
-          },
-          body: JSON.stringify({
-            key: `${dataAdd}.${field.key}`,
-            value: newValue,
-          }),
-        });
-
-        if (!res.ok) {
-          console.error('Failed to save config:', await res.text());
-          throw new Error('Failed to save configuration');
-        }
-      }
-    } catch (error) {
-      console.error('Error saving config:', error);
-      toast.error('Failed to save configuration.');
-    } finally {
-      setTimeout(() => setLoading(false), 150);
-    }
-  };
-
-  return (
-    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
-      <div className="space-y-3 lg:space-y-5">
-        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
-            {field.name}
-          </h4>
-          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
-            {field.description}
-          </p>
-        </div>
-        <Select
-          value={value}
-          onChange={(event) => handleSave(event.target.value)}
-          options={field.options.map((option) => ({
-            value: option.value,
-            label: option.name,
-          }))}
-          className="!text-xs lg:!text-sm"
-          loading={loading}
-          disabled={loading}
-        />
-      </div>
-    </section>
-  );
-};
-
-const SettingsInput = ({
-  field,
-  value,
-  setValue,
-  dataAdd,
-}: {
-  field: StringUIConfigField;
-  value?: any;
-  setValue: (value: any) => void;
-  dataAdd: string;
-}) => {
-  const [loading, setLoading] = useState(false);
-
-  const handleSave = async (newValue: any) => {
-    setLoading(true);
-    setValue(newValue);
-    try {
-      if (field.scope === 'client') {
-        localStorage.setItem(field.key, newValue);
-      } else {
-        const res = await fetch('/api/config', {
-          method: 'POST',
-          headers: {
-            'Content-Type': 'application/json',
-          },
-          body: JSON.stringify({
-            key: `${dataAdd}.${field.key}`,
-            value: newValue,
-          }),
-        });
-
-        if (!res.ok) {
-          console.error('Failed to save config:', await res.text());
-          throw new Error('Failed to save configuration');
-        }
-      }
-    } catch (error) {
-      console.error('Error saving config:', error);
-      toast.error('Failed to save configuration.');
-    } finally {
-      setTimeout(() => setLoading(false), 150);
-    }
-  };
-
-  return (
-    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
-      <div className="space-y-3 lg:space-y-5">
-        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
-            {field.name}
-          </h4>
-          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
-            {field.description}
-          </p>
-        </div>
-        <div className="relative">
-          <input
-            value={value ?? field.default ?? ''}
-            onChange={(event) => setValue(event.target.value)}
-            onBlur={(event) => handleSave(event.target.value)}
-            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-            placeholder={field.placeholder}
-            type="text"
-            disabled={loading}
-          />
-          {loading && (
-            <span className="pointer-events-none absolute right-3 top-1/2 -translate-y-1/2 text-black/40 dark:text-white/40">
-              <Loader2 className="h-4 w-4 animate-spin" />
-            </span>
-          )}
-        </div>
-      </div>
-    </section>
-  );
-};
-
-const SettingsTextarea = ({
-  field,
-  value,
-  setValue,
-  dataAdd,
-}: {
-  field: TextareaUIConfigField;
-  value?: any;
-  setValue: (value: any) => void;
-  dataAdd: string;
-}) => {
-  const [loading, setLoading] = useState(false);
-
-  const handleSave = async (newValue: any) => {
-    setLoading(true);
-    setValue(newValue);
-    try {
-      if (field.scope === 'client') {
-        localStorage.setItem(field.key, newValue);
-      } else {
-        const res = await fetch('/api/config', {
-          method: 'POST',
-          headers: {
-            'Content-Type': 'application/json',
-          },
-          body: JSON.stringify({
-            key: `${dataAdd}.${field.key}`,
-            value: newValue,
-          }),
-        });
-
-        if (!res.ok) {
-          console.error('Failed to save config:', await res.text());
-          throw new Error('Failed to save configuration');
-        }
-      }
-    } catch (error) {
-      console.error('Error saving config:', error);
-      toast.error('Failed to save configuration.');
-    } finally {
-      setTimeout(() => setLoading(false), 150);
-    }
-  };
-
-  return (
-    <section className="rounded-xl border border-light-200 bg-light-primary/80 p-4 lg:p-6 transition-colors dark:border-dark-200 dark:bg-dark-primary/80">
-      <div className="space-y-3 lg:space-y-5">
-        <div>
-          <h4 className="text-sm lg:text-base text-black dark:text-white">
-            {field.name}
-          </h4>
-          <p className="text-[11px] lg:text-xs text-black/50 dark:text-white/50">
-            {field.description}
-          </p>
-        </div>
-        <div className="relative">
-          <textarea
-            value={value ?? field.default ?? ''}
-            onChange={(event) => setValue(event.target.value)}
-            onBlur={(event) => handleSave(event.target.value)}
-            className="w-full rounded-lg border border-light-200 dark:border-dark-200 bg-light-primary dark:bg-dark-primary px-3 py-2 lg:px-4 lg:py-3 pr-10 !text-xs lg:!text-sm text-black/80 dark:text-white/80 placeholder:text-black/40 dark:placeholder:text-white/40 focus-visible:outline-none focus-visible:border-light-300 dark:focus-visible:border-dark-300 transition-colors disabled:cursor-not-allowed disabled:opacity-60"
-            placeholder={field.placeholder}
-            rows={4}
-            disabled={loading}
-          />
-          {loading && (
-            <span className="pointer-events-none absolute right-3 translate-y-3 text-black/40 dark:text-white/40">
-              <Loader2 className="h-4 w-4 animate-spin" />
-            </span>
-          )}
-        </div>
-      </div>
-    </section>
-  );
-};
-
-const SettingsField = ({
-  field,
-  value,
-  dataAdd,
-}: {
-  field: UIConfigField;
-  value: any;
-  dataAdd: string;
-}) => {
-  const [val, setVal] = useState(value);
-
-  switch (field.type) {
-    case 'select':
-      return (
-        <SettingsSelect
-          field={field}
-          value={val}
-          setValue={setVal}
-          dataAdd={dataAdd}
-        />
-      );
-    case 'string':
-      return (
-        <SettingsInput
-          field={field}
-          value={val}
-          setValue={setVal}
-          dataAdd={dataAdd}
-        />
-      );
-    case 'textarea':
-      return (
-        <SettingsTextarea
-          field={field}
-          value={val}
-          setValue={setVal}
-          dataAdd={dataAdd}
-        />
-      );
-    default:
-      return <div>Unsupported field type: {field.type}</div>;
-  }
-};
-
-export default SettingsField;

src/components/Setup/SetupConfig.tsx

@@ -1,200 +0,0 @@
-import {
-  ConfigModelProvider,
-  UIConfigField,
-  UIConfigSections,
-} from '@/lib/config/types';
-import { motion } from 'framer-motion';
-import { ArrowLeft, ArrowRight, Check } from 'lucide-react';
-import { useEffect, useState } from 'react';
-import { toast } from 'sonner';
-import AddProvider from '../Settings/Sections/Models/AddProviderDialog';
-import ModelProvider from '../Settings/Sections/Models/ModelProvider';
-import ModelSelect from '@/components/Settings/Sections/Models/ModelSelect';
-
-const SetupConfig = ({
-  configSections,
-  setupState,
-  setSetupState,
-}: {
-  configSections: UIConfigSections;
-  setupState: number;
-  setSetupState: (state: number) => void;
-}) => {
-  const [providers, setProviders] = useState<ConfigModelProvider[]>([]);
-  const [isLoading, setIsLoading] = useState(true);
-  const [isFinishing, setIsFinishing] = useState(false);
-
-  useEffect(() => {
-    const fetchProviders = async () => {
-      try {
-        setIsLoading(true);
-        const res = await fetch('/api/providers');
-        if (!res.ok) throw new Error('Failed to fetch providers');
-
-        const data = await res.json();
-        setProviders(data.providers || []);
-      } catch (error) {
-        console.error('Error fetching providers:', error);
-        toast.error('Failed to load providers');
-      } finally {
-        setIsLoading(false);
-      }
-    };
-
-    if (setupState === 2) {
-      fetchProviders();
-    }
-  }, [setupState]);
-
-  const handleFinish = async () => {
-    try {
-      setIsFinishing(true);
-      const res = await fetch('/api/config/setup-complete', {
-        method: 'POST',
-      });
-
-      if (!res.ok) throw new Error('Failed to complete setup');
-
-      window.location.reload();
-    } catch (error) {
-      console.error('Error completing setup:', error);
-      toast.error('Failed to complete setup');
-      setIsFinishing(false);
-    }
-  };
-
-  const hasProviders =
-    providers.filter((p) => p.chatModels.length > 0).length > 0;
-
-  return (
-    <div className="w-[95vw] md:w-[80vw] lg:w-[65vw] mx-auto px-2 sm:px-4 md:px-6 flex flex-col space-y-6">
-      {setupState === 2 && (
-        <motion.div
-          initial={{ opacity: 0, y: 20 }}
-          animate={{
-            opacity: 1,
-            y: 0,
-            transition: { duration: 0.5, delay: 0.1 },
-          }}
-          className="w-full h-[calc(95vh-80px)] bg-light-primary dark:bg-dark-primary border border-light-200 dark:border-dark-200 rounded-xl shadow-sm flex flex-col overflow-hidden"
-        >
-          <div className="flex-1 overflow-y-auto px-3 sm:px-4 md:px-6 py-4 md:py-6">
-            <div className="flex flex-row justify-between items-center mb-4 md:mb-6 pb-3 md:pb-4 border-b border-light-200 dark:border-dark-200">
-              <div>
-                <p className="text-xs sm:text-sm font-medium text-black dark:text-white">
-                  Manage Providers
-                </p>
-                <p className="text-[10px] sm:text-xs text-black/50 dark:text-white/50 mt-0.5">
-                  Add and configure your model providers
-                </p>
-              </div>
-              <AddProvider
-                modelProviders={configSections.modelProviders}
-                setProviders={setProviders}
-              />
-            </div>
-
-            <div className="space-y-3 md:space-y-4">
-              {isLoading ? (
-                <div className="flex items-center justify-center py-8 md:py-12">
-                  <p className="text-xs sm:text-sm text-black/50 dark:text-white/50">
-                    Loading providers...
-                  </p>
-                </div>
-              ) : providers.length === 0 ? (
-                <div className="flex flex-col items-center justify-center py-8 md:py-12 text-center">
-                  <p className="text-xs sm:text-sm font-medium text-black/70 dark:text-white/70">
-                    No providers configured
-                  </p>
-                </div>
-              ) : (
-                providers.map((provider) => (
-                  <ModelProvider
-                    key={`provider-${provider.id}`}
-                    fields={
-                      (configSections.modelProviders.find(
-                        (f) => f.key === provider.type,
-                      )?.fields ?? []) as UIConfigField[]
-                    }
-                    modelProvider={provider}
-                    setProviders={setProviders}
-                  />
-                ))
-              )}
-            </div>
-          </div>
-        </motion.div>
-      )}
-
-      {setupState === 3 && (
-        <motion.div
-          initial={{ opacity: 0, y: 20 }}
-          animate={{
-            opacity: 1,
-            y: 0,
-            transition: { duration: 0.5, delay: 0.1 },
-          }}
-          className="w-full h-[calc(95vh-80px)] bg-light-primary dark:bg-dark-primary border border-light-200 dark:border-dark-200 rounded-xl shadow-sm flex flex-col overflow-hidden"
-        >
-          <div className="flex-1 overflow-y-auto px-3 sm:px-4 md:px-6 py-4 md:py-6">
-            <div className="flex flex-row justify-between items-center mb-4 md:mb-6 pb-3 md:pb-4 border-b border-light-200 dark:border-dark-200">
-              <div>
-                <p className="text-xs sm:text-sm font-medium text-black dark:text-white">
-                  Select models
-                </p>
-                <p className="text-[10px] sm:text-xs text-black/50 dark:text-white/50 mt-0.5">
-                  Select models which you wish to use.
-                </p>
-              </div>
-            </div>
-
-            <div className="space-y-3 md:space-y-4">
-              <ModelSelect providers={providers} type="chat" />
-              <ModelSelect providers={providers} type="embedding" />
-            </div>
-          </div>
-        </motion.div>
-      )}
-
-      <div className="flex flex-row items-center justify-between pt-2">
-        <a></a>
-        {setupState === 2 && (
-          <motion.button
-            initial={{ opacity: 0, x: 10 }}
-            animate={{
-              opacity: 1,
-              x: 0,
-              transition: { duration: 0.5 },
-            }}
-            onClick={() => {
-              setSetupState(3);
-            }}
-            disabled={!hasProviders || isLoading}
-            className="flex flex-row items-center gap-1.5 md:gap-2 px-3 md:px-5 py-2 md:py-2.5 rounded-lg bg-[#24A0ED] text-white hover:bg-[#1e8fd1] active:scale-95 transition-all duration-200 font-medium text-xs sm:text-sm disabled:bg-light-200 dark:disabled:bg-dark-200 disabled:text-black/40 dark:disabled:text-white/40 disabled:cursor-not-allowed disabled:active:scale-100"
-          >
-            <span>Next</span>
-            <ArrowRight className="w-4 h-4 md:w-[18px] md:h-[18px]" />
-          </motion.button>
-        )}
-        {setupState === 3 && (
-          <motion.button
-            initial={{ opacity: 0, x: 10 }}
-            animate={{
-              opacity: 1,
-              x: 0,
-              transition: { duration: 0.5 },
-            }}
-            onClick={handleFinish}
-            disabled={!hasProviders || isLoading || isFinishing}
-            className="flex flex-row items-center gap-1.5 md:gap-2 px-3 md:px-5 py-2 md:py-2.5 rounded-lg bg-[#24A0ED] text-white hover:bg-[#1e8fd1] active:scale-95 transition-all duration-200 font-medium text-xs sm:text-sm disabled:bg-light-200 dark:disabled:bg-dark-200 disabled:text-black/40 dark:disabled:text-white/40 disabled:cursor-not-allowed disabled:active:scale-100"
-          >
-            <span>{isFinishing ? 'Finishing...' : 'Finish'}</span>
-            <Check className="w-4 h-4 md:w-[18px] md:h-[18px]" />
-          </motion.button>
-        )}
-      </div>
-    </div>
-  );
-};
-
-export default SetupConfig;

src/components/Setup/SetupWizard.tsx

@@ -1,126 +0,0 @@
-'use client';
-
-import { useEffect, useState } from 'react';
-import { UIConfigSections } from '@/lib/config/types';
-import { AnimatePresence, motion } from 'framer-motion';
-import SetupConfig from './SetupConfig';
-
-const SetupWizard = ({
-  configSections,
-}: {
-  configSections: UIConfigSections;
-}) => {
-  const [showWelcome, setShowWelcome] = useState(true);
-  const [showSetup, setShowSetup] = useState(false);
-  const [setupState, setSetupState] = useState(1);
-
-  const delay = (ms: number) =>
-    new Promise((resolve) => setTimeout(resolve, ms));
-
-  useEffect(() => {
-    (async () => {
-      await delay(2500);
-      setShowWelcome(false);
-      await delay(600);
-      setShowSetup(true);
-      setSetupState(1);
-      await delay(1500);
-      setSetupState(2);
-    })();
-  }, []);
-
-  return (
-    <div className="bg-light-primary dark:bg-dark-primary h-screen w-screen fixed inset-0 overflow-hidden">
-      <AnimatePresence>
-        {showWelcome && (
-          <div className="absolute inset-0 flex items-center justify-center overflow-hidden">
-            <motion.div
-              className="absolute flex flex-col items-center justify-center h-full"
-              initial={{ opacity: 1 }}
-              exit={{ opacity: 0, scale: 1.1 }}
-              transition={{ duration: 0.6 }}
-            >
-              <motion.h2
-                transition={{ duration: 0.6 }}
-                initial={{ opacity: 0, translateY: '30px' }}
-                animate={{ opacity: 1, translateY: '0px' }}
-                className="text-4xl md:text-6xl xl:text-8xl font-normal font-['Instrument_Serif'] tracking-tight"
-              >
-                Welcome to{' '}
-                <span className="text-[#24A0ED] italic font-['PP_Editorial']">
-                  Perplexica
-                </span>
-              </motion.h2>
-              <motion.p
-                transition={{ delay: 0.8, duration: 0.7 }}
-                initial={{ opacity: 0 }}
-                animate={{ opacity: 1 }}
-                className="text-black/70 dark:text-white/70 text-sm md:text-lg xl:text-2xl mt-2"
-              >
-                <span className="font-light">Web search,</span>{' '}
-                <span className="font-light font-['PP_Editorial'] italic">
-                  reimagined
-                </span>
-              </motion.p>
-            </motion.div>
-            <motion.div
-              initial={{ opacity: 0, scale: 0.5 }}
-              animate={{
-                opacity: 0.2,
-                scale: 1,
-                transition: { delay: 0.8, duration: 0.7 },
-              }}
-              exit={{ opacity: 0, scale: 1.1, transition: { duration: 0.6 } }}
-              className="bg-[#24A0ED] left-50 translate-x-[-50%] h-[250px] w-[250px] rounded-full relative z-40 blur-[100px]"
-            />
-          </div>
-        )}
-        {showSetup && (
-          <div className="absolute inset-0 flex items-center justify-center overflow-hidden">
-            <AnimatePresence mode="wait">
-              {setupState === 1 && (
-                <motion.p
-                  key="setup-text"
-                  transition={{ duration: 0.6 }}
-                  initial={{ opacity: 0, translateY: '30px' }}
-                  animate={{ opacity: 1, translateY: '0px' }}
-                  exit={{
-                    opacity: 0,
-                    translateY: '-30px',
-                    transition: { duration: 0.6 },
-                  }}
-                  className="text-2xl md:text-4xl xl:text-6xl font-normal font-['Instrument_Serif'] tracking-tight"
-                >
-                  Let us get{' '}
-                  <span className="text-[#24A0ED] italic font-['PP_Editorial']">
-                    Perplexica
-                  </span>{' '}
-                  set up for you
-                </motion.p>
-              )}
-              {setupState > 1 && (
-                <motion.div
-                  key="setup-config"
-                  initial={{ opacity: 0, translateY: '30px' }}
-                  animate={{
-                    opacity: 1,
-                    translateY: '0px',
-                    transition: { duration: 0.6 },
-                  }}
-                >
-                  <SetupConfig
-                    configSections={configSections}
-                    setupState={setupState}
-                    setSetupState={setSetupState}
-                  />
-                </motion.div>
-              )}
-            </AnimatePresence>
-          </div>
-        )}
-      </AnimatePresence>
-    </div>
-  );
-};
-
-export default SetupWizard;

src/components/Sidebar.tsx

@@ -1,34 +1,20 @@
 'use client';
 
 import { cn } from '@/lib/utils';
-import {
-  BookOpenText,
-  Home,
-  Search,
-  SquarePen,
-  Settings,
-  Plus,
-  ArrowLeft,
-} from 'lucide-react';
+import { BookOpenText, Home, Search, SquarePen, Settings } from 'lucide-react';
 import Link from 'next/link';
 import { useSelectedLayoutSegments } from 'next/navigation';
 import React, { useState, type ReactNode } from 'react';
 import Layout from './Layout';
-import {
-  Description,
-  Dialog,
-  DialogPanel,
-  DialogTitle,
-} from '@headlessui/react';
-import SettingsButton from './Settings/SettingsButton';
 
 const VerticalIconContainer = ({ children }: { children: ReactNode }) => {
-  return <div className="flex flex-col items-center w-full">{children}</div>;
+  return (
+    <div className="flex flex-col items-center gap-y-3 w-full">{children}</div>
+  );
 };
 
 const Sidebar = ({ children }: { children: React.ReactNode }) => {
   const segments = useSelectedLayoutSegments();
-  const [isOpen, setIsOpen] = useState<boolean>(true);
 
   const navLinks = [
     {
@@ -53,13 +39,10 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
 
   return (
     <div>
-      <div className="hidden lg:fixed lg:inset-y-0 lg:z-50 lg:flex lg:w-[72px] lg:flex-col border-r border-light-200 dark:border-dark-200">
-        <div className="flex grow flex-col items-center justify-between gap-y-5 overflow-y-auto bg-light-secondary dark:bg-dark-secondary px-2 py-8 shadow-sm shadow-light-200/10 dark:shadow-black/25">
-          <a
-            className="p-2.5 rounded-full bg-light-200 text-black/70 dark:bg-dark-200 dark:text-white/70 hover:opacity-70 hover:scale-105 tansition duration-200"
-            href="/"
-          >
-            <Plus size={19} className="cursor-pointer" />
+      <div className="hidden lg:fixed lg:inset-y-0 lg:z-50 lg:flex lg:w-20 lg:flex-col">
+        <div className="flex grow flex-col items-center justify-between gap-y-5 overflow-y-auto bg-light-secondary dark:bg-dark-secondary px-2 py-8 mx-2 my-2 rounded-2xl shadow-sm shadow-light-200/10 dark:shadow-black/25">
+          <a href="/">
+            <SquarePen className="cursor-pointer" />
           </a>
           <VerticalIconContainer>
             {navLinks.map((link, i) => (
@@ -67,45 +50,27 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
                 key={i}
                 href={link.href}
                 className={cn(
-                  'relative flex flex-col items-center justify-center space-y-0.5 cursor-pointer w-full py-2 rounded-lg',
+                  'relative flex flex-row items-center justify-center cursor-pointer hover:bg-black/10 dark:hover:bg-white/10 duration-150 transition w-full py-2 rounded-lg',
                   link.active
-                    ? 'text-black/70 dark:text-white/70 '
-                    : 'text-black/60 dark:text-white/60',
+                    ? 'text-black dark:text-white'
+                    : 'text-black/70 dark:text-white/70',
                 )}
               >
-                <div
-                  className={cn(
-                    link.active && 'bg-light-200 dark:bg-dark-200',
-                    'group rounded-lg hover:bg-light-200 hover:dark:bg-dark-200 transition duration-200',
-                  )}
-                >
-                  <link.icon
-                    size={25}
-                    className={cn(
-                      !link.active && 'group-hover:scale-105',
-                      'transition duration:200 m-1.5',
-                    )}
-                  />
-                </div>
-                <p
-                  className={cn(
-                    link.active
-                      ? 'text-black/80 dark:text-white/80'
-                      : 'text-black/60 dark:text-white/60',
-                    'text-[10px]',
-                  )}
-                >
-                  {link.label}
-                </p>
+                <link.icon />
+                {link.active && (
+                  <div className="absolute right-0 -mr-2 h-full w-1 rounded-l-lg bg-black dark:bg-white" />
+                )}
               </Link>
             ))}
           </VerticalIconContainer>
 
-          <SettingsButton />
+          <Link href="/settings">
+            <Settings className="cursor-pointer" />
+          </Link>
         </div>
       </div>
 
-      <div className="fixed bottom-0 w-full z-50 flex flex-row items-center gap-x-6 bg-light-secondary dark:bg-dark-secondary px-4 py-4 shadow-sm lg:hidden">
+      <div className="fixed bottom-0 w-full z-50 flex flex-row items-center gap-x-6 bg-light-primary dark:bg-dark-primary px-4 py-4 shadow-sm lg:hidden">
         {navLinks.map((link, i) => (
           <Link
             href={link.href}

src/components/WeatherWidget.tsx

@@ -104,7 +104,7 @@ const WeatherWidget = () => {
 
   useEffect(() => {
     updateWeather();
-    const intervalId = setInterval(updateWeather, 30 * 1000);
+    const intervalId = setInterval(updateWeather, 2 * 60 * 1000);
     return () => clearInterval(intervalId);
   }, []);
 

src/components/ui/Loader.tsx

@@ -1,22 +0,0 @@
-const Loader = () => {
-  return (
-    <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>
-  );
-};
-
-export default Loader;

src/components/ui/Select.tsx

@@ -1,50 +1,28 @@
 import { cn } from '@/lib/utils';
-import { Loader2, ChevronDown } from 'lucide-react';
-import { SelectHTMLAttributes, forwardRef } from 'react';
+import { SelectHTMLAttributes } from 'react';
 
 interface SelectProps extends SelectHTMLAttributes<HTMLSelectElement> {
-  options: { value: any; label: string; disabled?: boolean }[];
-  loading?: boolean;
+  options: { value: string; label: string; disabled?: boolean }[];
 }
 
-export const Select = forwardRef<HTMLSelectElement, SelectProps>(
-  ({ className, options, loading = false, disabled, ...restProps }, ref) => {
-    return (
-      <div
-        className={cn(
-          'relative inline-flex w-full items-center',
-          disabled && 'opacity-60',
-        )}
-      >
-        <select
-          {...restProps}
-          ref={ref}
-          disabled={disabled || loading}
-          className={cn(
-            'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg appearance-none w-full pr-10 text-xs lg:text-sm',
-            className,
-          )}
-        >
-          {options.map(({ label, value, disabled: optionDisabled }) => {
-            return (
-              <option key={value} value={value} disabled={optionDisabled}>
-                {label}
-              </option>
-            );
-          })}
-        </select>
-        <span className="pointer-events-none absolute right-3 flex h-4 w-4 items-center justify-center text-black/50 dark:text-white/60">
-          {loading ? (
-            <Loader2 className="h-4 w-4 animate-spin" />
-          ) : (
-            <ChevronDown className="h-4 w-4" />
-          )}
-        </span>
-      </div>
-    );
-  },
-);
-
-Select.displayName = 'Select';
+export const Select = ({ className, options, ...restProps }: SelectProps) => {
+  return (
+    <select
+      {...restProps}
+      className={cn(
+        'bg-light-secondary dark:bg-dark-secondary px-3 py-2 flex items-center overflow-hidden border border-light-200 dark:border-dark-200 dark:text-white rounded-lg text-sm',
+        className,
+      )}
+    >
+      {options.map(({ label, value, disabled }) => {
+        return (
+          <option key={value} value={value} disabled={disabled}>
+            {label}
+          </option>
+        );
+      })}
+    </select>
+  );
+};
 
 export default Select;

src/instrumentation.ts

@@ -1,13 +0,0 @@
-export const register = async () => {
-  if (process.env.NEXT_RUNTIME === 'nodejs') {
-    try {
-      console.log('Running database migrations...');
-      await import('./lib/db/migrate');
-      console.log('Database migrations completed successfully');
-    } catch (error) {
-      console.error('Failed to run database migrations:', error);
-    }
-
-    await import('./lib/config/index');
-  }
-};

src/lib/actions.ts

@@ -1,8 +1,11 @@
 import { Message } from '@/components/ChatWindow';
 
 export const getSuggestions = async (chatHistory: Message[]) => {
-  const chatModel = localStorage.getItem('chatModelKey');
-  const chatModelProvider = localStorage.getItem('chatModelProviderId');
+  const chatModel = localStorage.getItem('chatModel');
+  const chatModelProvider = localStorage.getItem('chatModelProvider');
+
+  const customOpenAIKey = localStorage.getItem('openAIApiKey');
+  const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
 
   const res = await fetch(`/api/suggestions`, {
     method: 'POST',
@@ -12,8 +15,12 @@ export const getSuggestions = async (chatHistory: Message[]) => {
     body: JSON.stringify({
       chatHistory: chatHistory,
       chatModel: {
-        providerId: chatModelProvider,
-        key: chatModel,
+        provider: chatModelProvider,
+        model: chatModel,
+        ...(chatModelProvider === 'custom_openai' && {
+          customOpenAIKey,
+          customOpenAIBaseURL,
+        }),
       },
     }),
   });

src/lib/config.ts

@@ -0,0 +1,158 @@
+import toml from '@iarna/toml';
+
+// Use dynamic imports for Node.js modules to prevent client-side errors
+let fs: any;
+let path: any;
+if (typeof window === 'undefined') {
+  // We're on the server
+  fs = require('fs');
+  path = require('path');
+}
+
+const configFileName = 'config.toml';
+
+interface Config {
+  GENERAL: {
+    SIMILARITY_MEASURE: string;
+    KEEP_ALIVE: string;
+  };
+  MODELS: {
+    OPENAI: {
+      API_KEY: string;
+    };
+    GROQ: {
+      API_KEY: string;
+    };
+    ANTHROPIC: {
+      API_KEY: string;
+    };
+    GEMINI: {
+      API_KEY: string;
+    };
+    OLLAMA: {
+      API_URL: string;
+      API_KEY: string;
+    };
+    DEEPSEEK: {
+      API_KEY: string;
+    };
+    AIMLAPI: {
+      API_KEY: string;
+    };
+    LM_STUDIO: {
+      API_URL: string;
+    };
+    LEMONADE: {
+      API_URL: string;
+      API_KEY: string;
+    };
+    CUSTOM_OPENAI: {
+      API_URL: string;
+      API_KEY: string;
+      MODEL_NAME: string;
+    };
+  };
+  API_ENDPOINTS: {
+    SEARXNG: string;
+  };
+}
+
+type RecursivePartial<T> = {
+  [P in keyof T]?: RecursivePartial<T[P]>;
+};
+
+const loadConfig = () => {
+  // Server-side only
+  if (typeof window === 'undefined') {
+    return toml.parse(
+      fs.readFileSync(path.join(process.cwd(), `${configFileName}`), 'utf-8'),
+    ) as any as Config;
+  }
+
+  // Client-side fallback - settings will be loaded via API
+  return {} as Config;
+};
+
+export const getSimilarityMeasure = () =>
+  loadConfig().GENERAL.SIMILARITY_MEASURE;
+
+export const getKeepAlive = () => loadConfig().GENERAL.KEEP_ALIVE;
+
+export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;
+
+export const getGroqApiKey = () => loadConfig().MODELS.GROQ.API_KEY;
+
+export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
+
+export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
+
+export const getSearxngApiEndpoint = () =>
+  process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
+
+export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
+
+export const getOllamaApiKey = () => loadConfig().MODELS.OLLAMA.API_KEY;
+
+export const getDeepseekApiKey = () => loadConfig().MODELS.DEEPSEEK.API_KEY;
+
+export const getAimlApiKey = () => loadConfig().MODELS.AIMLAPI.API_KEY;
+
+export const getCustomOpenaiApiKey = () =>
+  loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
+
+export const getCustomOpenaiApiUrl = () =>
+  loadConfig().MODELS.CUSTOM_OPENAI.API_URL;
+
+export const getCustomOpenaiModelName = () =>
+  loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
+
+export const getLMStudioApiEndpoint = () =>
+  loadConfig().MODELS.LM_STUDIO.API_URL;
+
+export const getLemonadeApiEndpoint = () =>
+  loadConfig().MODELS.LEMONADE.API_URL;
+
+export const getLemonadeApiKey = () => loadConfig().MODELS.LEMONADE.API_KEY;
+
+const mergeConfigs = (current: any, update: any): any => {
+  if (update === null || update === undefined) {
+    return current;
+  }
+
+  if (typeof current !== 'object' || current === null) {
+    return update;
+  }
+
+  const result = { ...current };
+
+  for (const key in update) {
+    if (Object.prototype.hasOwnProperty.call(update, key)) {
+      const updateValue = update[key];
+
+      if (
+        typeof updateValue === 'object' &&
+        updateValue !== null &&
+        typeof result[key] === 'object' &&
+        result[key] !== null
+      ) {
+        result[key] = mergeConfigs(result[key], updateValue);
+      } else if (updateValue !== undefined) {
+        result[key] = updateValue;
+      }
+    }
+  }
+
+  return result;
+};
+
+export const updateConfig = (config: RecursivePartial<Config>) => {
+  // Server-side only
+  if (typeof window === 'undefined') {
+    const currentConfig = loadConfig();
+    const mergedConfig = mergeConfigs(currentConfig, config);
+    fs.writeFileSync(
+      path.join(path.join(process.cwd(), `${configFileName}`)),
+      toml.stringify(mergedConfig),
+    );
+  }
+};

src/lib/config/clientRegistry.ts

@@ -1,16 +0,0 @@
-'use client';
-
-const getClientConfig = (key: string, defaultVal?: any) => {
-  return localStorage.getItem(key) ?? defaultVal ?? undefined;
-};
-
-export const getTheme = () => getClientConfig('theme', 'dark');
-
-export const getAutoImageSearch = () =>
-  Boolean(getClientConfig('autoImageSearch', 'true'));
-
-export const getAutoVideoSearch = () =>
-  Boolean(getClientConfig('autoVideoSearch', 'true'));
-
-export const getSystemInstructions = () =>
-  getClientConfig('systemInstructions', '');

src/lib/config/index.ts

@@ -1,360 +0,0 @@
-import path from 'node:path';
-import fs from 'fs';
-import { Config, ConfigModelProvider, UIConfigSections } from './types';
-import { hashObj } from '../serverUtils';
-import { getModelProvidersUIConfigSection } from '../models/providers';
-
-class ConfigManager {
-  configPath: string = path.join(
-    process.env.DATA_DIR || process.cwd(),
-    '/data/config.json',
-  );
-  configVersion = 1;
-  currentConfig: Config = {
-    version: this.configVersion,
-    setupComplete: false,
-    general: {},
-    modelProviders: [],
-    search: {
-      searxngURL: '',
-    },
-  };
-  uiConfigSections: UIConfigSections = {
-    general: [
-      {
-        name: 'Theme',
-        key: 'theme',
-        type: 'select',
-        options: [
-          {
-            name: 'Light',
-            value: 'light',
-          },
-          {
-            name: 'Dark',
-            value: 'dark',
-          },
-        ],
-        required: false,
-        description: 'Choose between light and dark layouts for the app.',
-        default: 'dark',
-        scope: 'client',
-      },
-      {
-        name: 'System Instructions',
-        key: 'systemInstructions',
-        type: 'textarea',
-        required: false,
-        description: 'Add custom behavior or tone for the model.',
-        placeholder:
-          'e.g., "Respond in a friendly and concise tone" or "Use British English and format answers as bullet points."',
-        scope: 'client',
-      },
-      {
-        name: 'Measurement Unit',
-        key: 'measureUnit',
-        type: 'select',
-        options: [
-          {
-            name: 'Imperial',
-            value: 'Imperial',
-          },
-          {
-            name: 'Metric',
-            value: 'Metric',
-          },
-        ],
-        required: false,
-        description: 'Choose between Metric  and Imperial measurement unit.',
-        default: 'Metric',
-        scope: 'client',
-      },
-    ],
-    modelProviders: [],
-    search: [
-      {
-        name: 'SearXNG URL',
-        key: 'searxngURL',
-        type: 'string',
-        required: false,
-        description: 'The URL of your SearXNG instance',
-        placeholder: 'http://localhost:4000',
-        default: '',
-        scope: 'server',
-        env: 'SEARXNG_API_URL',
-      },
-    ],
-  };
-
-  constructor() {
-    this.initialize();
-  }
-
-  private initialize() {
-    this.initializeConfig();
-    this.initializeFromEnv();
-  }
-
-  private saveConfig() {
-    fs.writeFileSync(
-      this.configPath,
-      JSON.stringify(this.currentConfig, null, 2),
-    );
-  }
-
-  private initializeConfig() {
-    const exists = fs.existsSync(this.configPath);
-    if (!exists) {
-      fs.writeFileSync(
-        this.configPath,
-        JSON.stringify(this.currentConfig, null, 2),
-      );
-    } else {
-      try {
-        this.currentConfig = JSON.parse(
-          fs.readFileSync(this.configPath, 'utf-8'),
-        );
-      } catch (err) {
-        if (err instanceof SyntaxError) {
-          console.error(
-            `Error parsing config file at ${this.configPath}:`,
-            err,
-          );
-          console.log(
-            'Loading default config and overwriting the existing file.',
-          );
-          fs.writeFileSync(
-            this.configPath,
-            JSON.stringify(this.currentConfig, null, 2),
-          );
-          return;
-        } else {
-          console.log('Unknown error reading config file:', err);
-        }
-      }
-
-      this.currentConfig = this.migrateConfig(this.currentConfig);
-    }
-  }
-
-  private migrateConfig(config: Config): Config {
-    /* TODO: Add migrations */
-    return config;
-  }
-
-  private initializeFromEnv() {
-    /* providers section*/
-    const providerConfigSections = getModelProvidersUIConfigSection();
-
-    this.uiConfigSections.modelProviders = providerConfigSections;
-
-    const newProviders: ConfigModelProvider[] = [];
-
-    providerConfigSections.forEach((provider) => {
-      const newProvider: ConfigModelProvider & { required?: string[] } = {
-        id: crypto.randomUUID(),
-        name: `${provider.name}`,
-        type: provider.key,
-        chatModels: [],
-        embeddingModels: [],
-        config: {},
-        required: [],
-        hash: '',
-      };
-
-      provider.fields.forEach((field) => {
-        newProvider.config[field.key] =
-          process.env[field.env!] ||
-          field.default ||
-          ''; /* Env var must exist for providers */
-
-        if (field.required) newProvider.required?.push(field.key);
-      });
-
-      let configured = true;
-
-      newProvider.required?.forEach((r) => {
-        if (!newProvider.config[r]) {
-          configured = false;
-        }
-      });
-
-      if (configured) {
-        const hash = hashObj(newProvider.config);
-        newProvider.hash = hash;
-        delete newProvider.required;
-
-        const exists = this.currentConfig.modelProviders.find(
-          (p) => p.hash === hash,
-        );
-
-        if (!exists) {
-          newProviders.push(newProvider);
-        }
-      }
-    });
-
-    this.currentConfig.modelProviders.push(...newProviders);
-
-    /* search section */
-    this.uiConfigSections.search.forEach((f) => {
-      if (f.env && !this.currentConfig.search[f.key]) {
-        this.currentConfig.search[f.key] =
-          process.env[f.env] ?? f.default ?? '';
-      }
-    });
-
-    this.saveConfig();
-  }
-
-  public getConfig(key: string, defaultValue?: any): any {
-    const nested = key.split('.');
-    let obj: any = this.currentConfig;
-
-    for (let i = 0; i < nested.length; i++) {
-      const part = nested[i];
-      if (obj == null) return defaultValue;
-
-      obj = obj[part];
-    }
-
-    return obj === undefined ? defaultValue : obj;
-  }
-
-  public updateConfig(key: string, val: any) {
-    const parts = key.split('.');
-    if (parts.length === 0) return;
-
-    let target: any = this.currentConfig;
-    for (let i = 0; i < parts.length - 1; i++) {
-      const part = parts[i];
-      if (target[part] === null || typeof target[part] !== 'object') {
-        target[part] = {};
-      }
-
-      target = target[part];
-    }
-
-    const finalKey = parts[parts.length - 1];
-    target[finalKey] = val;
-
-    this.saveConfig();
-  }
-
-  public addModelProvider(type: string, name: string, config: any) {
-    const newModelProvider: ConfigModelProvider = {
-      id: crypto.randomUUID(),
-      name,
-      type,
-      config,
-      chatModels: [],
-      embeddingModels: [],
-      hash: hashObj(config),
-    };
-
-    this.currentConfig.modelProviders.push(newModelProvider);
-    this.saveConfig();
-
-    return newModelProvider;
-  }
-
-  public removeModelProvider(id: string) {
-    const index = this.currentConfig.modelProviders.findIndex(
-      (p) => p.id === id,
-    );
-
-    if (index === -1) return;
-
-    this.currentConfig.modelProviders =
-      this.currentConfig.modelProviders.filter((p) => p.id !== id);
-
-    this.saveConfig();
-  }
-
-  public async updateModelProvider(id: string, name: string, config: any) {
-    const provider = this.currentConfig.modelProviders.find((p) => {
-      return p.id === id;
-    });
-
-    if (!provider) throw new Error('Provider not found');
-
-    provider.name = name;
-    provider.config = config;
-
-    this.saveConfig();
-
-    return provider;
-  }
-
-  public addProviderModel(
-    providerId: string,
-    type: 'embedding' | 'chat',
-    model: any,
-  ) {
-    const provider = this.currentConfig.modelProviders.find(
-      (p) => p.id === providerId,
-    );
-
-    if (!provider) throw new Error('Invalid provider id');
-
-    delete model.type;
-
-    if (type === 'chat') {
-      provider.chatModels.push(model);
-    } else {
-      provider.embeddingModels.push(model);
-    }
-
-    this.saveConfig();
-
-    return model;
-  }
-
-  public removeProviderModel(
-    providerId: string,
-    type: 'embedding' | 'chat',
-    modelKey: string,
-  ) {
-    const provider = this.currentConfig.modelProviders.find(
-      (p) => p.id === providerId,
-    );
-
-    if (!provider) throw new Error('Invalid provider id');
-
-    if (type === 'chat') {
-      provider.chatModels = provider.chatModels.filter(
-        (m) => m.key !== modelKey,
-      );
-    } else {
-      provider.embeddingModels = provider.embeddingModels.filter(
-        (m) => m.key != modelKey,
-      );
-    }
-
-    this.saveConfig();
-  }
-
-  public isSetupComplete() {
-    return this.currentConfig.setupComplete;
-  }
-
-  public markSetupComplete() {
-    if (!this.currentConfig.setupComplete) {
-      this.currentConfig.setupComplete = true;
-    }
-
-    this.saveConfig();
-  }
-
-  public getUIConfigSections(): UIConfigSections {
-    return this.uiConfigSections;
-  }
-
-  public getCurrentConfig(): Config {
-    return JSON.parse(JSON.stringify(this.currentConfig));
-  }
-}
-
-const configManager = new ConfigManager();
-
-export default configManager;

src/lib/config/serverRegistry.ts

@@ -1,15 +0,0 @@
-import configManager from './index';
-import { ConfigModelProvider } from './types';
-
-export const getConfiguredModelProviders = (): ConfigModelProvider[] => {
-  return configManager.getConfig('modelProviders', []);
-};
-
-export const getConfiguredModelProviderById = (
-  id: string,
-): ConfigModelProvider | undefined => {
-  return getConfiguredModelProviders().find((p) => p.id === id) ?? undefined;
-};
-
-export const getSearxngURL = () =>
-  configManager.getConfig('search.searxngURL', '');

src/lib/config/types.ts

@@ -1,98 +0,0 @@
-import { Model } from '../models/types';
-
-type BaseUIConfigField = {
-  name: string;
-  key: string;
-  required: boolean;
-  description: string;
-  scope: 'client' | 'server';
-  env?: string;
-};
-
-type StringUIConfigField = BaseUIConfigField & {
-  type: 'string';
-  placeholder?: string;
-  default?: string;
-};
-
-type SelectUIConfigFieldOptions = {
-  name: string;
-  value: string;
-};
-
-type SelectUIConfigField = BaseUIConfigField & {
-  type: 'select';
-  default?: string;
-  options: SelectUIConfigFieldOptions[];
-};
-
-type PasswordUIConfigField = BaseUIConfigField & {
-  type: 'password';
-  placeholder?: string;
-  default?: string;
-};
-
-type TextareaUIConfigField = BaseUIConfigField & {
-  type: 'textarea';
-  placeholder?: string;
-  default?: string;
-};
-
-type UIConfigField =
-  | StringUIConfigField
-  | SelectUIConfigField
-  | PasswordUIConfigField
-  | TextareaUIConfigField;
-
-type ConfigModelProvider = {
-  id: string;
-  name: string;
-  type: string;
-  chatModels: Model[];
-  embeddingModels: Model[];
-  config: { [key: string]: any };
-  hash: string;
-};
-
-type Config = {
-  version: number;
-  setupComplete: boolean;
-  general: {
-    [key: string]: any;
-  };
-  modelProviders: ConfigModelProvider[];
-  search: {
-    [key: string]: any;
-  };
-};
-
-type EnvMap = {
-  [key: string]: {
-    fieldKey: string;
-    providerKey: string;
-  };
-};
-
-type ModelProviderUISection = {
-  name: string;
-  key: string;
-  fields: UIConfigField[];
-};
-
-type UIConfigSections = {
-  general: UIConfigField[];
-  modelProviders: ModelProviderUISection[];
-  search: UIConfigField[];
-};
-
-export type {
-  UIConfigField,
-  Config,
-  EnvMap,
-  UIConfigSections,
-  SelectUIConfigField,
-  StringUIConfigField,
-  ModelProviderUISection,
-  ConfigModelProvider,
-  TextareaUIConfigField,
-};

src/lib/db/migrate.ts

@@ -2,12 +2,9 @@ import Database from 'better-sqlite3';
 import path from 'path';
 import fs from 'fs';
 
-const DATA_DIR = process.env.DATA_DIR || process.cwd();
-const dbPath = path.join(DATA_DIR, './data/db.sqlite');
+const db = new Database(path.join(process.cwd(), 'data', 'db.sqlite'));
 
-const db = new Database(dbPath);
-
-const migrationsFolder = path.join(DATA_DIR, 'drizzle');
+const migrationsFolder = path.join(process.cwd(), 'drizzle');
 
 db.exec(`
   CREATE TABLE IF NOT EXISTS ran_migrations (
@@ -57,7 +54,7 @@ fs.readdirSync(migrationsFolder)
                         id INTEGER PRIMARY KEY,
                         type TEXT NOT NULL,
                         chatId TEXT NOT NULL,
-                        createdAt TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
+                        createdAt TEXT NOT NULL,
                         messageId TEXT NOT NULL,
                         content TEXT,
                         sources TEXT DEFAULT '[]'
@@ -70,10 +67,8 @@ fs.readdirSync(migrationsFolder)
                 `);
 
         messages.forEach((msg: any) => {
-          while (typeof msg.metadata === 'string') {
-            msg.metadata = JSON.parse(msg.metadata || '{}');
-          }
           if (msg.type === 'user') {
+            msg.metadata = JSON.parse(msg.metadata || '{}');
             insertMessage.run(
               'user',
               msg.chatId,
@@ -83,6 +78,7 @@ fs.readdirSync(migrationsFolder)
               '[]',
             );
           } else if (msg.type === 'assistant') {
+            msg.metadata = JSON.parse(msg.metadata || '{}');
             insertMessage.run(
               'assistant',
               msg.chatId,

src/lib/db/schema.ts

@@ -1,6 +1,6 @@
 import { sql } from 'drizzle-orm';
 import { text, integer, sqliteTable } from 'drizzle-orm/sqlite-core';
-import { Document } from '@langchain/core/documents';
+import { Document } from 'langchain/document';
 
 export const messages = sqliteTable('messages', {
   id: integer('id').primaryKey(),

src/lib/hooks/useChat.tsx

@@ -20,7 +20,6 @@ import crypto from 'crypto';
 import { useSearchParams } from 'next/navigation';
 import { toast } from 'sonner';
 import { getSuggestions } from '../actions';
-import { MinimalProvider } from '../models/types';
 
 export type Section = {
   userMessage: UserMessage;
@@ -67,13 +66,13 @@ export interface File {
 }
 
 interface ChatModelProvider {
-  key: string;
-  providerId: string;
+  name: string;
+  provider: string;
 }
 
 interface EmbeddingModelProvider {
-  key: string;
-  providerId: string;
+  name: string;
+  provider: string;
 }
 
 const checkConfig = async (
@@ -83,12 +82,10 @@ const checkConfig = async (
   setHasError: (hasError: boolean) => void,
 ) => {
   try {
-    let chatModelKey = localStorage.getItem('chatModelKey');
-    let chatModelProviderId = localStorage.getItem('chatModelProviderId');
-    let embeddingModelKey = localStorage.getItem('embeddingModelKey');
-    let embeddingModelProviderId = localStorage.getItem(
-      'embeddingModelProviderId',
-    );
+    let chatModel = localStorage.getItem('chatModel');
+    let chatModelProvider = localStorage.getItem('chatModelProvider');
+    let embeddingModel = localStorage.getItem('embeddingModel');
+    let embeddingModelProvider = localStorage.getItem('embeddingModelProvider');
 
     const autoImageSearch = localStorage.getItem('autoImageSearch');
     const autoVideoSearch = localStorage.getItem('autoVideoSearch');
@@ -101,81 +98,145 @@ const checkConfig = async (
       localStorage.setItem('autoVideoSearch', 'false');
     }
 
-    const res = await fetch(`/api/providers`, {
+    const providers = await fetch(`/api/models`, {
       headers: {
         'Content-Type': 'application/json',
       },
+    }).then(async (res) => {
+      if (!res.ok)
+        throw new Error(
+          `Failed to fetch models: ${res.status} ${res.statusText}`,
+        );
+      return res.json();
     });
 
-    if (!res.ok) {
-      throw new Error(
-        `Provider fetching failed with status code ${res.status}`,
-      );
+    if (
+      !chatModel ||
+      !chatModelProvider ||
+      !embeddingModel ||
+      !embeddingModelProvider
+    ) {
+      if (!chatModel || !chatModelProvider) {
+        const chatModelProviders = providers.chatModelProviders;
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
+
+        if (!chatModelProviders || chatModelProvidersKeys.length === 0) {
+          return toast.error('No chat models available');
+        } else {
+          chatModelProvider =
+            chatModelProvidersKeys.find(
+              (provider) =>
+                Object.keys(chatModelProviders[provider]).length > 0,
+            ) || chatModelProvidersKeys[0];
+        }
+
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
+        chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+      }
+
+      if (!embeddingModel || !embeddingModelProvider) {
+        const embeddingModelProviders = providers.embeddingModelProviders;
+
+        if (
+          !embeddingModelProviders ||
+          Object.keys(embeddingModelProviders).length === 0
+        )
+          return toast.error('No embedding models available');
+
+        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+        embeddingModel = Object.keys(
+          embeddingModelProviders[embeddingModelProvider],
+        )[0];
+      }
+
+      localStorage.setItem('chatModel', chatModel!);
+      localStorage.setItem('chatModelProvider', chatModelProvider);
+      localStorage.setItem('embeddingModel', embeddingModel!);
+      localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
+    } else {
+      const chatModelProviders = providers.chatModelProviders;
+      const embeddingModelProviders = providers.embeddingModelProviders;
+
+      if (
+        Object.keys(chatModelProviders).length > 0 &&
+        (!chatModelProviders[chatModelProvider] ||
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0)
+      ) {
+        const chatModelProvidersKeys = Object.keys(chatModelProviders);
+        chatModelProvider =
+          chatModelProvidersKeys.find(
+            (key) => Object.keys(chatModelProviders[key]).length > 0,
+          ) || chatModelProvidersKeys[0];
+
+        localStorage.setItem('chatModelProvider', chatModelProvider);
+      }
+
+      if (
+        chatModelProvider &&
+        !chatModelProviders[chatModelProvider][chatModel]
+      ) {
+        if (
+          chatModelProvider === 'custom_openai' &&
+          Object.keys(chatModelProviders[chatModelProvider]).length === 0
+        ) {
+          toast.error(
+            "Looks like you haven't configured any chat model providers. Please configure them from the settings page or the config file.",
+          );
+          return setHasError(true);
+        }
+
+        chatModel = Object.keys(
+          chatModelProviders[
+            Object.keys(chatModelProviders[chatModelProvider]).length > 0
+              ? chatModelProvider
+              : Object.keys(chatModelProviders)[0]
+          ],
+        )[0];
+
+        localStorage.setItem('chatModel', chatModel);
+      }
+
+      if (
+        Object.keys(embeddingModelProviders).length > 0 &&
+        !embeddingModelProviders[embeddingModelProvider]
+      ) {
+        embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+        localStorage.setItem('embeddingModelProvider', embeddingModelProvider);
+      }
+
+      if (
+        embeddingModelProvider &&
+        !embeddingModelProviders[embeddingModelProvider][embeddingModel]
+      ) {
+        embeddingModel = Object.keys(
+          embeddingModelProviders[embeddingModelProvider],
+        )[0];
+        localStorage.setItem('embeddingModel', embeddingModel);
+      }
     }
 
-    const data = await res.json();
-    const providers: MinimalProvider[] = data.providers;
-
-    if (providers.length === 0) {
-      throw new Error(
-        'No chat model providers found, please configure them in the settings page.',
-      );
-    }
-
-    const chatModelProvider =
-      providers.find((p) => p.id === chatModelProviderId) ??
-      providers.find((p) => p.chatModels.length > 0);
-
-    if (!chatModelProvider) {
-      throw new Error(
-        'No chat models found, pleae configure them in the settings page.',
-      );
-    }
-
-    chatModelProviderId = chatModelProvider.id;
-
-    const chatModel =
-      chatModelProvider.chatModels.find((m) => m.key === chatModelKey) ??
-      chatModelProvider.chatModels[0];
-    chatModelKey = chatModel.key;
-
-    const embeddingModelProvider =
-      providers.find((p) => p.id === embeddingModelProviderId) ??
-      providers.find((p) => p.embeddingModels.length > 0);
-
-    if (!embeddingModelProvider) {
-      throw new Error(
-        'No embedding models found, pleae configure them in the settings page.',
-      );
-    }
-
-    embeddingModelProviderId = embeddingModelProvider.id;
-
-    const embeddingModel =
-      embeddingModelProvider.embeddingModels.find(
-        (m) => m.key === embeddingModelKey,
-      ) ?? embeddingModelProvider.embeddingModels[0];
-    embeddingModelKey = embeddingModel.key;
-
-    localStorage.setItem('chatModelKey', chatModelKey);
-    localStorage.setItem('chatModelProviderId', chatModelProviderId);
-    localStorage.setItem('embeddingModelKey', embeddingModelKey);
-    localStorage.setItem('embeddingModelProviderId', embeddingModelProviderId);
-
     setChatModelProvider({
-      key: chatModelKey,
-      providerId: chatModelProviderId,
+      name: chatModel!,
+      provider: chatModelProvider,
     });
 
     setEmbeddingModelProvider({
-      key: embeddingModelKey,
-      providerId: embeddingModelProviderId,
+      name: embeddingModel!,
+      provider: embeddingModelProvider,
     });
 
     setIsConfigReady(true);
-  } catch (err: any) {
+  } catch (err) {
     console.error('An error occurred while checking the configuration:', err);
-    toast.error(err.message);
     setIsConfigReady(false);
     setHasError(true);
   }
@@ -295,15 +356,15 @@ export const ChatProvider = ({
 
   const [chatModelProvider, setChatModelProvider] = useState<ChatModelProvider>(
     {
-      key: '',
-      providerId: '',
+      name: '',
+      provider: '',
     },
   );
 
   const [embeddingModelProvider, setEmbeddingModelProvider] =
     useState<EmbeddingModelProvider>({
-      key: '',
-      providerId: '',
+      name: '',
+      provider: '',
     });
 
   const [isConfigReady, setIsConfigReady] = useState(false);
@@ -681,12 +742,12 @@ export const ChatProvider = ({
           ? chatHistory.slice(0, messageIndex === -1 ? undefined : messageIndex)
           : chatHistory,
         chatModel: {
-          key: chatModelProvider.key,
-          providerId: chatModelProvider.providerId,
+          name: chatModelProvider.name,
+          provider: chatModelProvider.provider,
         },
         embeddingModel: {
-          key: embeddingModelProvider.key,
-          providerId: embeddingModelProvider.providerId,
+          name: embeddingModelProvider.name,
+          provider: embeddingModelProvider.provider,
         },
         systemInstructions: localStorage.getItem('systemInstructions'),
       }),

src/lib/huggingfaceTransformer.ts

@@ -28,6 +28,8 @@ export class HuggingFaceTransformersEmbeddings
 
   timeout?: number;
 
+  private pipelinePromise: Promise<any> | undefined;
+
   constructor(fields?: Partial<HuggingFaceTransformersEmbeddingsParams>) {
     super(fields ?? {});
 
@@ -65,8 +67,12 @@ export class HuggingFaceTransformersEmbeddings
   }
 
   private async runEmbedding(texts: string[]) {
-    const { pipeline } = await import('@huggingface/transformers');
-    const pipe = await pipeline('feature-extraction', this.model);
+    const { pipeline } = await import('@xenova/transformers');
+
+    const pipe = await (this.pipelinePromise ??= pipeline(
+      'feature-extraction',
+      this.model,
+    ));
 
     return this.caller.call(async () => {
       const output = await pipe(texts, { pooling: 'mean', normalize: true });

src/lib/models/providers/aiml.ts

@@ -1,152 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface AimlConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your AI/ML API key',
-    required: true,
-    placeholder: 'AI/ML API Key',
-    env: 'AIML_API_KEY',
-    scope: 'server',
-  },
-];
-
-class AimlProvider extends BaseModelProvider<AimlConfig> {
-  constructor(id: string, name: string, config: AimlConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const res = await fetch('https://api.aimlapi.com/models', {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-          Authorization: `Bearer ${this.config.apiKey}`,
-        },
-      });
-
-      const data = await res.json();
-
-      const chatModels: Model[] = data.data
-        .filter((m: any) => m.type === 'chat-completion')
-        .map((m: any) => {
-          return {
-            name: m.id,
-            key: m.id,
-          };
-        });
-
-      const embeddingModels: Model[] = data.data
-        .filter((m: any) => m.type === 'embedding')
-        .map((m: any) => {
-          return {
-            name: m.id,
-            key: m.id,
-          };
-        });
-
-      return {
-        embedding: embeddingModels,
-        chat: chatModels,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to AI/ML API. Please ensure your API key is correct and the service is available.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading AI/ML API Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: 'https://api.aimlapi.com',
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading AI/ML API Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: this.config.apiKey,
-      model: key,
-      configuration: {
-        baseURL: 'https://api.aimlapi.com',
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): AimlConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'aiml',
-      name: 'AI/ML API',
-    };
-  }
-}
-
-export default AimlProvider;

src/lib/models/providers/anthropic.ts

@@ -1,115 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatAnthropic } from '@langchain/anthropic';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface AnthropicConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Anthropic API key',
-    required: true,
-    placeholder: 'Anthropic API Key',
-    env: 'ANTHROPIC_API_KEY',
-    scope: 'server',
-  },
-];
-
-class AnthropicProvider extends BaseModelProvider<AnthropicConfig> {
-  constructor(id: string, name: string, config: AnthropicConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    const res = await fetch('https://api.anthropic.com/v1/models?limit=999', {
-      method: 'GET',
-      headers: {
-        'x-api-key': this.config.apiKey,
-        'anthropic-version': '2023-06-01',
-        'Content-type': 'application/json',
-      },
-    });
-
-    if (!res.ok) {
-      throw new Error(`Failed to fetch Anthropic models: ${res.statusText}`);
-    }
-
-    const data = (await res.json()).data;
-
-    const models: Model[] = data.map((m: any) => {
-      return {
-        key: m.id,
-        name: m.display_name,
-      };
-    });
-
-    return {
-      embedding: [],
-      chat: models,
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Anthropic Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatAnthropic({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    throw new Error('Anthropic provider does not support embedding models.');
-  }
-
-  static parseAndValidate(raw: any): AnthropicConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'anthropic',
-      name: 'Anthropic',
-    };
-  }
-}
-
-export default AnthropicProvider;

src/lib/models/providers/baseProvider.ts

@@ -1,45 +0,0 @@
-import { Embeddings } from '@langchain/core/embeddings';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import { UIConfigField } from '@/lib/config/types';
-
-abstract class BaseModelProvider<CONFIG> {
-  constructor(
-    protected id: string,
-    protected name: string,
-    protected config: CONFIG,
-  ) {}
-  abstract getDefaultModels(): Promise<ModelList>;
-  abstract getModelList(): Promise<ModelList>;
-  abstract loadChatModel(modelName: string): Promise<BaseChatModel>;
-  abstract loadEmbeddingModel(modelName: string): Promise<Embeddings>;
-  static getProviderConfigFields(): UIConfigField[] {
-    throw new Error('Method not implemented.');
-  }
-  static getProviderMetadata(): ProviderMetadata {
-    throw new Error('Method not Implemented.');
-  }
-  static parseAndValidate(raw: any): any {
-    /* Static methods can't access class type parameters */
-    throw new Error('Method not Implemented.');
-  }
-}
-
-export type ProviderConstructor<CONFIG> = {
-  new (id: string, name: string, config: CONFIG): BaseModelProvider<CONFIG>;
-  parseAndValidate(raw: any): CONFIG;
-  getProviderConfigFields: () => UIConfigField[];
-  getProviderMetadata: () => ProviderMetadata;
-};
-
-export const createProviderInstance = <P extends ProviderConstructor<any>>(
-  Provider: P,
-  id: string,
-  name: string,
-  rawConfig: unknown,
-): InstanceType<P> => {
-  const cfg = Provider.parseAndValidate(rawConfig);
-  return new Provider(id, name, cfg) as InstanceType<P>;
-};
-
-export default BaseModelProvider;

src/lib/models/providers/deepseek.ts

@@ -1,107 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface DeepSeekConfig {
-  apiKey: string;
-}
-
-const defaultChatModels: Model[] = [
-  {
-    name: 'Deepseek Chat / DeepSeek V3.2 Exp',
-    key: 'deepseek-chat',
-  },
-  {
-    name: 'Deepseek Reasoner / DeepSeek V3.2 Exp',
-    key: 'deepseek-reasoner',
-  },
-];
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your DeepSeek API key',
-    required: true,
-    placeholder: 'DeepSeek API Key',
-    env: 'DEEPSEEK_API_KEY',
-    scope: 'server',
-  },
-];
-
-class DeepSeekProvider extends BaseModelProvider<DeepSeekConfig> {
-  constructor(id: string, name: string, config: DeepSeekConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    return {
-      embedding: [],
-      chat: defaultChatModels,
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading DeepSeek Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: 'https://api.deepseek.com',
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    throw new Error('DeepSeek provider does not support embedding models.');
-  }
-
-  static parseAndValidate(raw: any): DeepSeekConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'deepseek',
-      name: 'Deepseek AI',
-    };
-  }
-}
-
-export default DeepSeekProvider;

src/lib/models/providers/gemini.ts

@@ -1,140 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import {
-  ChatGoogleGenerativeAI,
-  GoogleGenerativeAIEmbeddings,
-} from '@langchain/google-genai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface GeminiConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Google Gemini API key',
-    required: true,
-    placeholder: 'Google Gemini API Key',
-    env: 'GEMINI_API_KEY',
-    scope: 'server',
-  },
-];
-
-class GeminiProvider extends BaseModelProvider<GeminiConfig> {
-  constructor(id: string, name: string, config: GeminiConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    const res = await fetch(
-      `https://generativelanguage.googleapis.com/v1beta/models?key=${this.config.apiKey}`,
-      {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      },
-    );
-
-    const data = await res.json();
-
-    let defaultEmbeddingModels: Model[] = [];
-    let defaultChatModels: Model[] = [];
-
-    data.models.forEach((m: any) => {
-      if (m.supportedGenerationMethods.includes('embedText')) {
-        defaultEmbeddingModels.push({
-          key: m.name,
-          name: m.displayName,
-        });
-      } else if (m.supportedGenerationMethods.includes('generateContent')) {
-        defaultChatModels.push({
-          key: m.name,
-          name: m.displayName,
-        });
-      }
-    });
-
-    return {
-      embedding: defaultEmbeddingModels,
-      chat: defaultChatModels,
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Gemini Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatGoogleGenerativeAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Gemini Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new GoogleGenerativeAIEmbeddings({
-      apiKey: this.config.apiKey,
-      model: key,
-    });
-  }
-
-  static parseAndValidate(raw: any): GeminiConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'gemini',
-      name: 'Google Gemini',
-    };
-  }
-}
-
-export default GeminiProvider;

src/lib/models/providers/groq.ts

@@ -1,118 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatGroq } from '@langchain/groq';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface GroqConfig {
-  apiKey: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Groq API key',
-    required: true,
-    placeholder: 'Groq API Key',
-    env: 'GROQ_API_KEY',
-    scope: 'server',
-  },
-];
-
-class GroqProvider extends BaseModelProvider<GroqConfig> {
-  constructor(id: string, name: string, config: GroqConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const res = await fetch('https://api.groq.com/openai/v1/models', {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-          Authorization: `Bearer ${this.config.apiKey}`,
-        },
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.data.map((m: any) => {
-        return {
-          name: m.id,
-          key: m.id,
-        };
-      });
-
-      return {
-        embedding: [],
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to Groq API. Please ensure your API key is correct and the Groq service is available.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error('Error Loading Groq Chat Model. Invalid Model Selected');
-    }
-
-    return new ChatGroq({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    throw new Error('Groq provider does not support embedding models.');
-  }
-
-  static parseAndValidate(raw: any): GroqConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey)
-      throw new Error('Invalid config provided. API key must be provided');
-
-    return {
-      apiKey: String(raw.apiKey),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'groq',
-      name: 'Groq',
-    };
-  }
-}
-
-export default GroqProvider;

src/lib/models/providers/index.ts

@@ -1,39 +0,0 @@
-import { ModelProviderUISection } from '@/lib/config/types';
-import { ProviderConstructor } from './baseProvider';
-import OpenAIProvider from './openai';
-import OllamaProvider from './ollama';
-import TransformersProvider from './transformers';
-import AnthropicProvider from './anthropic';
-import GeminiProvider from './gemini';
-import GroqProvider from './groq';
-import DeepSeekProvider from './deepseek';
-import LMStudioProvider from './lmstudio';
-import LemonadeProvider from './lemonade';
-import AimlProvider from '@/lib/models/providers/aiml';
-
-export const providers: Record<string, ProviderConstructor<any>> = {
-  openai: OpenAIProvider,
-  ollama: OllamaProvider,
-  transformers: TransformersProvider,
-  anthropic: AnthropicProvider,
-  gemini: GeminiProvider,
-  groq: GroqProvider,
-  deepseek: DeepSeekProvider,
-  aiml: AimlProvider,
-  lmstudio: LMStudioProvider,
-  lemonade: LemonadeProvider,
-};
-
-export const getModelProvidersUIConfigSection =
-  (): ModelProviderUISection[] => {
-    return Object.entries(providers).map(([k, p]) => {
-      const configFields = p.getProviderConfigFields();
-      const metadata = p.getProviderMetadata();
-
-      return {
-        fields: configFields,
-        key: k,
-        name: metadata.name,
-      };
-    });
-  };

src/lib/models/providers/lemonade.ts

@@ -1,158 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface LemonadeConfig {
-  baseURL: string;
-  apiKey?: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'string',
-    name: 'Base URL',
-    key: 'baseURL',
-    description: 'The base URL for Lemonade API',
-    required: true,
-    placeholder: 'https://api.lemonade.ai/v1',
-    env: 'LEMONADE_BASE_URL',
-    scope: 'server',
-  },
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your Lemonade API key (optional)',
-    required: false,
-    placeholder: 'Lemonade API Key',
-    env: 'LEMONADE_API_KEY',
-    scope: 'server',
-  },
-];
-
-class LemonadeProvider extends BaseModelProvider<LemonadeConfig> {
-  constructor(id: string, name: string, config: LemonadeConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const headers: Record<string, string> = {
-        'Content-Type': 'application/json',
-      };
-
-      if (this.config.apiKey) {
-        headers['Authorization'] = `Bearer ${this.config.apiKey}`;
-      }
-
-      const res = await fetch(`${this.config.baseURL}/models`, {
-        method: 'GET',
-        headers,
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.data.map((m: any) => {
-        return {
-          name: m.id,
-          key: m.id,
-        };
-      });
-
-      return {
-        embedding: models,
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to Lemonade API. Please ensure the base URL is correct and the service is available.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Lemonade Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey || 'not-needed',
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Lemonade Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: this.config.apiKey || 'not-needed',
-      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): LemonadeConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.baseURL)
-      throw new Error('Invalid config provided. Base URL must be provided');
-
-    return {
-      baseURL: String(raw.baseURL),
-      apiKey: raw.apiKey ? String(raw.apiKey) : undefined,
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'lemonade',
-      name: 'Lemonade',
-    };
-  }
-}
-
-export default LemonadeProvider;

src/lib/models/providers/lmstudio.ts

@@ -1,148 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface LMStudioConfig {
-  baseURL: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'string',
-    name: 'Base URL',
-    key: 'baseURL',
-    description: 'The base URL for LM Studio server',
-    required: true,
-    placeholder: 'http://localhost:1234',
-    env: 'LM_STUDIO_BASE_URL',
-    scope: 'server',
-  },
-];
-
-class LMStudioProvider extends BaseModelProvider<LMStudioConfig> {
-  constructor(id: string, name: string, config: LMStudioConfig) {
-    super(id, name, config);
-  }
-
-  private normalizeBaseURL(url: string): string {
-    const trimmed = url.trim().replace(/\/+$/, '');
-    return trimmed.endsWith('/v1') ? trimmed : `${trimmed}/v1`;
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const baseURL = this.normalizeBaseURL(this.config.baseURL);
-
-      const res = await fetch(`${baseURL}/models`, {
-        method: 'GET',
-        headers: {
-          'Content-Type': 'application/json',
-        },
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.data.map((m: any) => {
-        return {
-          name: m.id,
-          key: m.id,
-        };
-      });
-
-      return {
-        embedding: models,
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to LM Studio. Please ensure the base URL is correct and the LM Studio server is running.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading LM Studio Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: 'lm-studio',
-      temperature: 0.7,
-      model: key,
-      streaming: true,
-      configuration: {
-        baseURL: this.normalizeBaseURL(this.config.baseURL),
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading LM Studio Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: 'lm-studio',
-      model: key,
-      configuration: {
-        baseURL: this.normalizeBaseURL(this.config.baseURL),
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): LMStudioConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.baseURL)
-      throw new Error('Invalid config provided. Base URL must be provided');
-
-    return {
-      baseURL: String(raw.baseURL),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'lmstudio',
-      name: 'LM Studio',
-    };
-  }
-}
-
-export default LMStudioProvider;

src/lib/models/providers/ollama.ts

@@ -1,136 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOllama, OllamaEmbeddings } from '@langchain/ollama';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface OllamaConfig {
-  baseURL: string;
-}
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'string',
-    name: 'Base URL',
-    key: 'baseURL',
-    description: 'The base URL for the Ollama',
-    required: true,
-    placeholder: process.env.DOCKER
-      ? 'http://host.docker.internal:11434'
-      : 'http://localhost:11434',
-    env: 'OLLAMA_BASE_URL',
-    scope: 'server',
-  },
-];
-
-class OllamaProvider extends BaseModelProvider<OllamaConfig> {
-  constructor(id: string, name: string, config: OllamaConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    try {
-      const res = await fetch(`${this.config.baseURL}/api/tags`, {
-        method: 'GET',
-        headers: {
-          'Content-type': 'application/json',
-        },
-      });
-
-      const data = await res.json();
-
-      const models: Model[] = data.models.map((m: any) => {
-        return {
-          name: m.name,
-          key: m.model,
-        };
-      });
-
-      return {
-        embedding: models,
-        chat: models,
-      };
-    } catch (err) {
-      if (err instanceof TypeError) {
-        throw new Error(
-          'Error connecting to Ollama API. Please ensure the base URL is correct and the Ollama server is running.',
-        );
-      }
-
-      throw err;
-    }
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Ollama Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOllama({
-      temperature: 0.7,
-      model: key,
-      baseUrl: this.config.baseURL,
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading Ollama Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OllamaEmbeddings({
-      model: key,
-      baseUrl: this.config.baseURL,
-    });
-  }
-
-  static parseAndValidate(raw: any): OllamaConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.baseURL)
-      throw new Error('Invalid config provided. Base URL must be provided');
-
-    return {
-      baseURL: String(raw.baseURL),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'ollama',
-      name: 'Ollama',
-    };
-  }
-}
-
-export default OllamaProvider;

src/lib/models/providers/openai.ts

@@ -1,214 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-
-interface OpenAIConfig {
-  apiKey: string;
-  baseURL: string;
-}
-
-const defaultChatModels: Model[] = [
-  {
-    name: 'GPT-3.5 Turbo',
-    key: 'gpt-3.5-turbo',
-  },
-  {
-    name: 'GPT-4',
-    key: 'gpt-4',
-  },
-  {
-    name: 'GPT-4 turbo',
-    key: 'gpt-4-turbo',
-  },
-  {
-    name: 'GPT-4 omni',
-    key: 'gpt-4o',
-  },
-  {
-    name: 'GPT-4o (2024-05-13)',
-    key: 'gpt-4o-2024-05-13',
-  },
-  {
-    name: 'GPT-4 omni mini',
-    key: 'gpt-4o-mini',
-  },
-  {
-    name: 'GPT 4.1 nano',
-    key: 'gpt-4.1-nano',
-  },
-  {
-    name: 'GPT 4.1 mini',
-    key: 'gpt-4.1-mini',
-  },
-  {
-    name: 'GPT 4.1',
-    key: 'gpt-4.1',
-  },
-  {
-    name: 'GPT 5 nano',
-    key: 'gpt-5-nano',
-  },
-  {
-    name: 'GPT 5',
-    key: 'gpt-5',
-  },
-  {
-    name: 'GPT 5 Mini',
-    key: 'gpt-5-mini',
-  },
-  {
-    name: 'o1',
-    key: 'o1',
-  },
-  {
-    name: 'o3',
-    key: 'o3',
-  },
-  {
-    name: 'o3 Mini',
-    key: 'o3-mini',
-  },
-  {
-    name: 'o4 Mini',
-    key: 'o4-mini',
-  },
-];
-
-const defaultEmbeddingModels: Model[] = [
-  {
-    name: 'Text Embedding 3 Small',
-    key: 'text-embedding-3-small',
-  },
-  {
-    name: 'Text Embedding 3 Large',
-    key: 'text-embedding-3-large',
-  },
-];
-
-const providerConfigFields: UIConfigField[] = [
-  {
-    type: 'password',
-    name: 'API Key',
-    key: 'apiKey',
-    description: 'Your OpenAI API key',
-    required: true,
-    placeholder: 'OpenAI API Key',
-    env: 'OPENAI_API_KEY',
-    scope: 'server',
-  },
-  {
-    type: 'string',
-    name: 'Base URL',
-    key: 'baseURL',
-    description: 'The base URL for the OpenAI API',
-    required: true,
-    placeholder: 'OpenAI Base URL',
-    default: 'https://api.openai.com/v1',
-    env: 'OPENAI_BASE_URL',
-    scope: 'server',
-  },
-];
-
-class OpenAIProvider extends BaseModelProvider<OpenAIConfig> {
-  constructor(id: string, name: string, config: OpenAIConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    if (this.config.baseURL === 'https://api.openai.com/v1') {
-      return {
-        embedding: defaultEmbeddingModels,
-        chat: defaultChatModels,
-      };
-    }
-
-    return {
-      embedding: [],
-      chat: [],
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [...defaultModels.chat, ...configProvider.chatModels],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    const modelList = await this.getModelList();
-
-    const exists = modelList.chat.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading OpenAI Chat Model. Invalid Model Selected',
-      );
-    }
-
-    return new ChatOpenAI({
-      apiKey: this.config.apiKey,
-      temperature: 0.7,
-      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
-    });
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading OpenAI Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new OpenAIEmbeddings({
-      apiKey: this.config.apiKey,
-      model: key,
-      configuration: {
-        baseURL: this.config.baseURL,
-      },
-    });
-  }
-
-  static parseAndValidate(raw: any): OpenAIConfig {
-    if (!raw || typeof raw !== 'object')
-      throw new Error('Invalid config provided. Expected object');
-    if (!raw.apiKey || !raw.baseURL)
-      throw new Error(
-        'Invalid config provided. API key and base URL must be provided',
-      );
-
-    return {
-      apiKey: String(raw.apiKey),
-      baseURL: String(raw.baseURL),
-    };
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'openai',
-      name: 'OpenAI',
-    };
-  }
-}
-
-export default OpenAIProvider;

src/lib/models/providers/transformers.ts

@@ -1,88 +0,0 @@
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { Model, ModelList, ProviderMetadata } from '../types';
-import BaseModelProvider from './baseProvider';
-import { Embeddings } from '@langchain/core/embeddings';
-import { UIConfigField } from '@/lib/config/types';
-import { getConfiguredModelProviderById } from '@/lib/config/serverRegistry';
-import { HuggingFaceTransformersEmbeddings } from '@/lib/huggingfaceTransformer';
-
-interface TransformersConfig {}
-
-const defaultEmbeddingModels: Model[] = [
-  {
-    name: 'all-MiniLM-L6-v2',
-    key: 'Xenova/all-MiniLM-L6-v2',
-  },
-  {
-    name: 'mxbai-embed-large-v1',
-    key: 'mixedbread-ai/mxbai-embed-large-v1',
-  },
-  {
-    name: 'nomic-embed-text-v1',
-    key: 'Xenova/nomic-embed-text-v1',
-  },
-];
-
-const providerConfigFields: UIConfigField[] = [];
-
-class TransformersProvider extends BaseModelProvider<TransformersConfig> {
-  constructor(id: string, name: string, config: TransformersConfig) {
-    super(id, name, config);
-  }
-
-  async getDefaultModels(): Promise<ModelList> {
-    return {
-      embedding: [...defaultEmbeddingModels],
-      chat: [],
-    };
-  }
-
-  async getModelList(): Promise<ModelList> {
-    const defaultModels = await this.getDefaultModels();
-    const configProvider = getConfiguredModelProviderById(this.id)!;
-
-    return {
-      embedding: [
-        ...defaultModels.embedding,
-        ...configProvider.embeddingModels,
-      ],
-      chat: [],
-    };
-  }
-
-  async loadChatModel(key: string): Promise<BaseChatModel> {
-    throw new Error('Transformers Provider does not support chat models.');
-  }
-
-  async loadEmbeddingModel(key: string): Promise<Embeddings> {
-    const modelList = await this.getModelList();
-    const exists = modelList.embedding.find((m) => m.key === key);
-
-    if (!exists) {
-      throw new Error(
-        'Error Loading OpenAI Embedding Model. Invalid Model Selected.',
-      );
-    }
-
-    return new HuggingFaceTransformersEmbeddings({
-      model: key,
-    });
-  }
-
-  static parseAndValidate(raw: any): TransformersConfig {
-    return {};
-  }
-
-  static getProviderConfigFields(): UIConfigField[] {
-    return providerConfigFields;
-  }
-
-  static getProviderMetadata(): ProviderMetadata {
-    return {
-      key: 'transformers',
-      name: 'Transformers',
-    };
-  }
-}
-
-export default TransformersProvider;

src/lib/models/registry.ts

@@ -1,223 +0,0 @@
-import { ConfigModelProvider } from '../config/types';
-import BaseModelProvider, {
-  createProviderInstance,
-} from './providers/baseProvider';
-import { getConfiguredModelProviders } from '../config/serverRegistry';
-import { providers } from './providers';
-import { MinimalProvider, ModelList } from './types';
-import configManager from '../config';
-
-class ModelRegistry {
-  activeProviders: (ConfigModelProvider & {
-    provider: BaseModelProvider<any>;
-  })[] = [];
-
-  constructor() {
-    this.initializeActiveProviders();
-  }
-
-  private initializeActiveProviders() {
-    const configuredProviders = getConfiguredModelProviders();
-
-    configuredProviders.forEach((p) => {
-      try {
-        const provider = providers[p.type];
-        if (!provider) throw new Error('Invalid provider type');
-
-        this.activeProviders.push({
-          ...p,
-          provider: createProviderInstance(provider, p.id, p.name, p.config),
-        });
-      } catch (err) {
-        console.error(
-          `Failed to initialize provider. Type: ${p.type}, ID: ${p.id}, Config: ${JSON.stringify(p.config)}, Error: ${err}`,
-        );
-      }
-    });
-  }
-
-  async getActiveProviders() {
-    const providers: MinimalProvider[] = [];
-
-    await Promise.all(
-      this.activeProviders.map(async (p) => {
-        let m: ModelList = { chat: [], embedding: [] };
-
-        try {
-          m = await p.provider.getModelList();
-        } catch (err: any) {
-          console.error(
-            `Failed to get model list. Type: ${p.type}, ID: ${p.id}, Error: ${err.message}`,
-          );
-
-          m = {
-            chat: [
-              {
-                key: 'error',
-                name: err.message,
-              },
-            ],
-            embedding: [],
-          };
-        }
-
-        providers.push({
-          id: p.id,
-          name: p.name,
-          chatModels: m.chat,
-          embeddingModels: m.embedding,
-        });
-      }),
-    );
-
-    return providers;
-  }
-
-  async loadChatModel(providerId: string, modelName: string) {
-    const provider = this.activeProviders.find((p) => p.id === providerId);
-
-    if (!provider) throw new Error('Invalid provider id');
-
-    const model = await provider.provider.loadChatModel(modelName);
-
-    return model;
-  }
-
-  async loadEmbeddingModel(providerId: string, modelName: string) {
-    const provider = this.activeProviders.find((p) => p.id === providerId);
-
-    if (!provider) throw new Error('Invalid provider id');
-
-    const model = await provider.provider.loadEmbeddingModel(modelName);
-
-    return model;
-  }
-
-  async addProvider(
-    type: string,
-    name: string,
-    config: Record<string, any>,
-  ): Promise<ConfigModelProvider> {
-    const provider = providers[type];
-    if (!provider) throw new Error('Invalid provider type');
-
-    const newProvider = configManager.addModelProvider(type, name, config);
-
-    const instance = createProviderInstance(
-      provider,
-      newProvider.id,
-      newProvider.name,
-      newProvider.config,
-    );
-
-    let m: ModelList = { chat: [], embedding: [] };
-
-    try {
-      m = await instance.getModelList();
-    } catch (err: any) {
-      console.error(
-        `Failed to get model list for newly added provider. Type: ${type}, ID: ${newProvider.id}, Error: ${err.message}`,
-      );
-
-      m = {
-        chat: [
-          {
-            key: 'error',
-            name: err.message,
-          },
-        ],
-        embedding: [],
-      };
-    }
-
-    this.activeProviders.push({
-      ...newProvider,
-      provider: instance,
-    });
-
-    return {
-      ...newProvider,
-      chatModels: m.chat || [],
-      embeddingModels: m.embedding || [],
-    };
-  }
-
-  async removeProvider(providerId: string): Promise<void> {
-    configManager.removeModelProvider(providerId);
-    this.activeProviders = this.activeProviders.filter(
-      (p) => p.id !== providerId,
-    );
-
-    return;
-  }
-
-  async updateProvider(
-    providerId: string,
-    name: string,
-    config: any,
-  ): Promise<ConfigModelProvider> {
-    const updated = await configManager.updateModelProvider(
-      providerId,
-      name,
-      config,
-    );
-    const instance = createProviderInstance(
-      providers[updated.type],
-      providerId,
-      name,
-      config,
-    );
-
-    let m: ModelList = { chat: [], embedding: [] };
-
-    try {
-      m = await instance.getModelList();
-    } catch (err: any) {
-      console.error(
-        `Failed to get model list for updated provider. Type: ${updated.type}, ID: ${updated.id}, Error: ${err.message}`,
-      );
-
-      m = {
-        chat: [
-          {
-            key: 'error',
-            name: err.message,
-          },
-        ],
-        embedding: [],
-      };
-    }
-
-    this.activeProviders.push({
-      ...updated,
-      provider: instance,
-    });
-
-    return {
-      ...updated,
-      chatModels: m.chat || [],
-      embeddingModels: m.embedding || [],
-    };
-  }
-
-  /* Using async here because maybe in the future we might want to add some validation?? */
-  async addProviderModel(
-    providerId: string,
-    type: 'embedding' | 'chat',
-    model: any,
-  ): Promise<any> {
-    const addedModel = configManager.addProviderModel(providerId, type, model);
-    return addedModel;
-  }
-
-  async removeProviderModel(
-    providerId: string,
-    type: 'embedding' | 'chat',
-    modelKey: string,
-  ): Promise<void> {
-    configManager.removeProviderModel(providerId, type, modelKey);
-    return;
-  }
-}
-
-export default ModelRegistry;

src/lib/models/types.ts

@@ -1,34 +0,0 @@
-type Model = {
-  name: string;
-  key: string;
-};
-
-type ModelList = {
-  embedding: Model[];
-  chat: Model[];
-};
-
-type ProviderMetadata = {
-  name: string;
-  key: string;
-};
-
-type MinimalProvider = {
-  id: string;
-  name: string;
-  chatModels: Model[];
-  embeddingModels: Model[];
-};
-
-type ModelWithProvider = {
-  key: string;
-  providerId: string;
-};
-
-export type {
-  Model,
-  ModelList,
-  ProviderMetadata,
-  MinimalProvider,
-  ModelWithProvider,
-};

src/lib/providers/aimlapi.ts

@@ -0,0 +1,94 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getAimlApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { Embeddings } from '@langchain/core/embeddings';
+import axios from 'axios';
+
+export const PROVIDER_INFO = {
+  key: 'aimlapi',
+  displayName: 'AI/ML API',
+};
+
+interface AimlApiModel {
+  id: string;
+  name?: string;
+  type?: string;
+}
+
+const API_URL = 'https://api.aimlapi.com';
+
+export const loadAimlApiChatModels = async () => {
+  const apiKey = getAimlApiKey();
+
+  if (!apiKey) return {};
+
+  try {
+    const response = await axios.get(`${API_URL}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const chatModels: Record<string, ChatModel> = {};
+
+    response.data.data.forEach((model: AimlApiModel) => {
+      if (model.type === 'chat-completion') {
+        chatModels[model.id] = {
+          displayName: model.name || model.id,
+          model: new ChatOpenAI({
+            apiKey: apiKey,
+            modelName: model.id,
+            temperature: 0.7,
+            configuration: {
+              baseURL: API_URL,
+            },
+          }) as unknown as BaseChatModel,
+        };
+      }
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading AI/ML API models: ${err}`);
+    return {};
+  }
+};
+
+export const loadAimlApiEmbeddingModels = async () => {
+  const apiKey = getAimlApiKey();
+
+  if (!apiKey) return {};
+
+  try {
+    const response = await axios.get(`${API_URL}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    response.data.data.forEach((model: AimlApiModel) => {
+      if (model.type === 'embedding') {
+        embeddingModels[model.id] = {
+          displayName: model.name || model.id,
+          model: new OpenAIEmbeddings({
+            apiKey: apiKey,
+            modelName: model.id,
+            configuration: {
+              baseURL: API_URL,
+            },
+          }) as unknown as Embeddings,
+        };
+      }
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading AI/ML API embeddings models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/anthropic.ts

@@ -0,0 +1,78 @@
+import { ChatAnthropic } from '@langchain/anthropic';
+import { ChatModel } from '.';
+import { getAnthropicApiKey } from '../config';
+
+export const PROVIDER_INFO = {
+  key: 'anthropic',
+  displayName: 'Anthropic',
+};
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+
+const anthropicChatModels: Record<string, string>[] = [
+  {
+    displayName: 'Claude 4.1 Opus',
+    key: 'claude-opus-4-1-20250805',
+  },
+  {
+    displayName: 'Claude 4 Opus',
+    key: 'claude-opus-4-20250514',
+  },
+  {
+    displayName: 'Claude 4 Sonnet',
+    key: 'claude-sonnet-4-20250514',
+  },
+  {
+    displayName: 'Claude 3.7 Sonnet',
+    key: 'claude-3-7-sonnet-20250219',
+  },
+  {
+    displayName: 'Claude 3.5 Haiku',
+    key: 'claude-3-5-haiku-20241022',
+  },
+  {
+    displayName: 'Claude 3.5 Sonnet v2',
+    key: 'claude-3-5-sonnet-20241022',
+  },
+  {
+    displayName: 'Claude 3.5 Sonnet',
+    key: 'claude-3-5-sonnet-20240620',
+  },
+  {
+    displayName: 'Claude 3 Opus',
+    key: 'claude-3-opus-20240229',
+  },
+  {
+    displayName: 'Claude 3 Sonnet',
+    key: 'claude-3-sonnet-20240229',
+  },
+  {
+    displayName: 'Claude 3 Haiku',
+    key: 'claude-3-haiku-20240307',
+  },
+];
+
+export const loadAnthropicChatModels = async () => {
+  const anthropicApiKey = getAnthropicApiKey();
+
+  if (!anthropicApiKey) return {};
+
+  try {
+    const chatModels: Record<string, ChatModel> = {};
+
+    anthropicChatModels.forEach((model) => {
+      chatModels[model.key] = {
+        displayName: model.displayName,
+        model: new ChatAnthropic({
+          apiKey: anthropicApiKey,
+          modelName: model.key,
+          temperature: 0.7,
+        }) as unknown as BaseChatModel,
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading Anthropic models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/deepseek.ts

@@ -0,0 +1,49 @@
+import { ChatOpenAI } from '@langchain/openai';
+import { getDeepseekApiKey } from '../config';
+import { ChatModel } from '.';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+
+export const PROVIDER_INFO = {
+  key: 'deepseek',
+  displayName: 'Deepseek AI',
+};
+
+const deepseekChatModels: Record<string, string>[] = [
+  {
+    displayName: 'Deepseek Chat (Deepseek V3)',
+    key: 'deepseek-chat',
+  },
+  {
+    displayName: 'Deepseek Reasoner (Deepseek R1)',
+    key: 'deepseek-reasoner',
+  },
+];
+
+export const loadDeepseekChatModels = async () => {
+  const deepseekApiKey = getDeepseekApiKey();
+
+  if (!deepseekApiKey) return {};
+
+  try {
+    const chatModels: Record<string, ChatModel> = {};
+
+    deepseekChatModels.forEach((model) => {
+      chatModels[model.key] = {
+        displayName: model.displayName,
+        model: new ChatOpenAI({
+          apiKey: deepseekApiKey,
+          modelName: model.key,
+          temperature: 0.7,
+          configuration: {
+            baseURL: 'https://api.deepseek.com',
+          },
+        }) as unknown as BaseChatModel,
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading Deepseek models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/gemini.ts

@@ -0,0 +1,114 @@
+import {
+  ChatGoogleGenerativeAI,
+  GoogleGenerativeAIEmbeddings,
+} from '@langchain/google-genai';
+import { getGeminiApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'gemini',
+  displayName: 'Google Gemini',
+};
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { Embeddings } from '@langchain/core/embeddings';
+
+const geminiChatModels: Record<string, string>[] = [
+  {
+    displayName: 'Gemini 2.5 Flash',
+    key: 'gemini-2.5-flash',
+  },
+  {
+    displayName: 'Gemini 2.5 Flash-Lite',
+    key: 'gemini-2.5-flash-lite',
+  },
+  {
+    displayName: 'Gemini 2.5 Pro',
+    key: 'gemini-2.5-pro',
+  },
+  {
+    displayName: 'Gemini 2.0 Flash',
+    key: 'gemini-2.0-flash',
+  },
+  {
+    displayName: 'Gemini 2.0 Flash-Lite',
+    key: 'gemini-2.0-flash-lite',
+  },
+  {
+    displayName: 'Gemini 2.0 Flash Thinking Experimental',
+    key: 'gemini-2.0-flash-thinking-exp-01-21',
+  },
+  {
+    displayName: 'Gemini 1.5 Flash',
+    key: 'gemini-1.5-flash',
+  },
+  {
+    displayName: 'Gemini 1.5 Flash-8B',
+    key: 'gemini-1.5-flash-8b',
+  },
+  {
+    displayName: 'Gemini 1.5 Pro',
+    key: 'gemini-1.5-pro',
+  },
+];
+
+const geminiEmbeddingModels: Record<string, string>[] = [
+  {
+    displayName: 'Text Embedding 004',
+    key: 'models/text-embedding-004',
+  },
+  {
+    displayName: 'Embedding 001',
+    key: 'models/embedding-001',
+  },
+];
+
+export const loadGeminiChatModels = async () => {
+  const geminiApiKey = getGeminiApiKey();
+
+  if (!geminiApiKey) return {};
+
+  try {
+    const chatModels: Record<string, ChatModel> = {};
+
+    geminiChatModels.forEach((model) => {
+      chatModels[model.key] = {
+        displayName: model.displayName,
+        model: new ChatGoogleGenerativeAI({
+          apiKey: geminiApiKey,
+          model: model.key,
+          temperature: 0.7,
+        }) as unknown as BaseChatModel,
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading Gemini models: ${err}`);
+    return {};
+  }
+};
+
+export const loadGeminiEmbeddingModels = async () => {
+  const geminiApiKey = getGeminiApiKey();
+
+  if (!geminiApiKey) return {};
+
+  try {
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    geminiEmbeddingModels.forEach((model) => {
+      embeddingModels[model.key] = {
+        displayName: model.displayName,
+        model: new GoogleGenerativeAIEmbeddings({
+          apiKey: geminiApiKey,
+          modelName: model.key,
+        }) as unknown as Embeddings,
+      };
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading Gemini embeddings models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/groq.ts

@@ -0,0 +1,44 @@
+import { ChatGroq } from '@langchain/groq';
+import { getGroqApiKey } from '../config';
+import { ChatModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'groq',
+  displayName: 'Groq',
+};
+
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+
+export const loadGroqChatModels = async () => {
+  const groqApiKey = getGroqApiKey();
+  if (!groqApiKey) return {};
+
+  try {
+    const res = await fetch('https://api.groq.com/openai/v1/models', {
+      method: 'GET',
+      headers: {
+        Authorization: `bearer ${groqApiKey}`,
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const groqChatModels = (await res.json()).data;
+    const chatModels: Record<string, ChatModel> = {};
+
+    groqChatModels.forEach((model: any) => {
+      chatModels[model.id] = {
+        displayName: model.id,
+        model: new ChatGroq({
+          apiKey: groqApiKey,
+          model: model.id,
+          temperature: 0.7,
+        }) as unknown as BaseChatModel,
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading Groq models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/index.ts

@@ -0,0 +1,170 @@
+import { Embeddings } from '@langchain/core/embeddings';
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import {
+  loadOpenAIChatModels,
+  loadOpenAIEmbeddingModels,
+  PROVIDER_INFO as OpenAIInfo,
+  PROVIDER_INFO,
+} from './openai';
+import {
+  getCustomOpenaiApiKey,
+  getCustomOpenaiApiUrl,
+  getCustomOpenaiModelName,
+} from '../config';
+import { ChatOpenAI } from '@langchain/openai';
+import {
+  loadOllamaChatModels,
+  loadOllamaEmbeddingModels,
+  PROVIDER_INFO as OllamaInfo,
+} from './ollama';
+import { loadGroqChatModels, PROVIDER_INFO as GroqInfo } from './groq';
+import {
+  loadAnthropicChatModels,
+  PROVIDER_INFO as AnthropicInfo,
+} from './anthropic';
+import {
+  loadGeminiChatModels,
+  loadGeminiEmbeddingModels,
+  PROVIDER_INFO as GeminiInfo,
+} from './gemini';
+import {
+  loadTransformersEmbeddingsModels,
+  PROVIDER_INFO as TransformersInfo,
+} from './transformers';
+import {
+  loadDeepseekChatModels,
+  PROVIDER_INFO as DeepseekInfo,
+} from './deepseek';
+import {
+  loadAimlApiChatModels,
+  loadAimlApiEmbeddingModels,
+  PROVIDER_INFO as AimlApiInfo,
+} from './aimlapi';
+import {
+  loadLMStudioChatModels,
+  loadLMStudioEmbeddingsModels,
+  PROVIDER_INFO as LMStudioInfo,
+} from './lmstudio';
+import {
+  loadLemonadeChatModels,
+  loadLemonadeEmbeddingModels,
+  PROVIDER_INFO as LemonadeInfo,
+} from './lemonade';
+
+export const PROVIDER_METADATA = {
+  openai: OpenAIInfo,
+  ollama: OllamaInfo,
+  groq: GroqInfo,
+  anthropic: AnthropicInfo,
+  gemini: GeminiInfo,
+  transformers: TransformersInfo,
+  deepseek: DeepseekInfo,
+  aimlapi: AimlApiInfo,
+  lmstudio: LMStudioInfo,
+  lemonade: LemonadeInfo,
+  custom_openai: {
+    key: 'custom_openai',
+    displayName: 'Custom OpenAI',
+  },
+};
+
+export interface ChatModel {
+  displayName: string;
+  model: BaseChatModel;
+}
+
+export interface EmbeddingModel {
+  displayName: string;
+  model: Embeddings;
+}
+
+export const chatModelProviders: Record<
+  string,
+  () => Promise<Record<string, ChatModel>>
+> = {
+  openai: loadOpenAIChatModels,
+  ollama: loadOllamaChatModels,
+  groq: loadGroqChatModels,
+  anthropic: loadAnthropicChatModels,
+  gemini: loadGeminiChatModels,
+  deepseek: loadDeepseekChatModels,
+  aimlapi: loadAimlApiChatModels,
+  lmstudio: loadLMStudioChatModels,
+  lemonade: loadLemonadeChatModels,
+};
+
+export const embeddingModelProviders: Record<
+  string,
+  () => Promise<Record<string, EmbeddingModel>>
+> = {
+  openai: loadOpenAIEmbeddingModels,
+  ollama: loadOllamaEmbeddingModels,
+  gemini: loadGeminiEmbeddingModels,
+  transformers: loadTransformersEmbeddingsModels,
+  aimlapi: loadAimlApiEmbeddingModels,
+  lmstudio: loadLMStudioEmbeddingsModels,
+  lemonade: loadLemonadeEmbeddingModels,
+};
+
+export const getAvailableChatModelProviders = async () => {
+  const models: Record<string, Record<string, ChatModel>> = {};
+
+  for (const provider in chatModelProviders) {
+    const providerModels = await chatModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels;
+    }
+  }
+
+  const customOpenAiApiKey = getCustomOpenaiApiKey();
+  const customOpenAiApiUrl = getCustomOpenaiApiUrl();
+  const customOpenAiModelName = getCustomOpenaiModelName();
+
+  models['custom_openai'] = {
+    ...(customOpenAiApiKey && customOpenAiApiUrl && customOpenAiModelName
+      ? {
+          [customOpenAiModelName]: {
+            displayName: customOpenAiModelName,
+            model: new ChatOpenAI({
+              apiKey: customOpenAiApiKey,
+              modelName: customOpenAiModelName,
+              ...(() => {
+                const temperatureRestrictedModels = [
+                  'gpt-5-nano',
+                  'gpt-5',
+                  'gpt-5-mini',
+                  'o1',
+                  'o3',
+                  'o3-mini',
+                  'o4-mini',
+                ];
+                const isTemperatureRestricted =
+                  temperatureRestrictedModels.some((restrictedModel) =>
+                    customOpenAiModelName.includes(restrictedModel),
+                  );
+                return isTemperatureRestricted ? {} : { temperature: 0.7 };
+              })(),
+              configuration: {
+                baseURL: customOpenAiApiUrl,
+              },
+            }) as unknown as BaseChatModel,
+          },
+        }
+      : {}),
+  };
+
+  return models;
+};
+
+export const getAvailableEmbeddingModelProviders = async () => {
+  const models: Record<string, Record<string, EmbeddingModel>> = {};
+
+  for (const provider in embeddingModelProviders) {
+    const providerModels = await embeddingModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels;
+    }
+  }
+
+  return models;
+};

src/lib/providers/lemonade.ts

@@ -0,0 +1,94 @@
+import axios from 'axios';
+import { getLemonadeApiEndpoint, getLemonadeApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'lemonade',
+  displayName: 'Lemonade',
+};
+
+import { ChatOpenAI } from '@langchain/openai';
+import { OpenAIEmbeddings } from '@langchain/openai';
+
+export const loadLemonadeChatModels = async () => {
+  const lemonadeApiEndpoint = getLemonadeApiEndpoint();
+  const lemonadeApiKey = getLemonadeApiKey();
+
+  if (!lemonadeApiEndpoint) return {};
+
+  try {
+    const res = await axios.get(`${lemonadeApiEndpoint}/api/v1/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        ...(lemonadeApiKey
+          ? { Authorization: `Bearer ${lemonadeApiKey}` }
+          : {}),
+      },
+    });
+
+    const { data: models } = res.data;
+
+    const chatModels: Record<string, ChatModel> = {};
+
+    models.forEach((model: any) => {
+      chatModels[model.id] = {
+        displayName: model.id,
+        model: new ChatOpenAI({
+          apiKey: lemonadeApiKey || 'lemonade-key',
+          modelName: model.id,
+          temperature: 0.7,
+          configuration: {
+            baseURL: `${lemonadeApiEndpoint}/api/v1`,
+          },
+        }),
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading Lemonade models: ${err}`);
+    return {};
+  }
+};
+
+export const loadLemonadeEmbeddingModels = async () => {
+  const lemonadeApiEndpoint = getLemonadeApiEndpoint();
+  const lemonadeApiKey = getLemonadeApiKey();
+
+  if (!lemonadeApiEndpoint) return {};
+
+  try {
+    const res = await axios.get(`${lemonadeApiEndpoint}/api/v1/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        ...(lemonadeApiKey
+          ? { Authorization: `Bearer ${lemonadeApiKey}` }
+          : {}),
+      },
+    });
+
+    const { data: models } = res.data;
+
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    // Filter models that support embeddings (if Lemonade provides this info)
+    // For now, we'll assume all models can be used for embeddings
+    models.forEach((model: any) => {
+      embeddingModels[model.id] = {
+        displayName: model.id,
+        model: new OpenAIEmbeddings({
+          apiKey: lemonadeApiKey || 'lemonade-key',
+          modelName: model.id,
+          configuration: {
+            baseURL: `${lemonadeApiEndpoint}/api/v1`,
+          },
+        }),
+      };
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading Lemonade embedding models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/lmstudio.ts

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

src/lib/providers/ollama.ts

@@ -0,0 +1,86 @@
+import axios from 'axios';
+import { getKeepAlive, getOllamaApiEndpoint, getOllamaApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'ollama',
+  displayName: 'Ollama',
+};
+import { ChatOllama } from '@langchain/ollama';
+import { OllamaEmbeddings } from '@langchain/ollama';
+
+export const loadOllamaChatModels = async () => {
+  const ollamaApiEndpoint = getOllamaApiEndpoint();
+  const ollamaApiKey = getOllamaApiKey();
+
+  if (!ollamaApiEndpoint) return {};
+
+  try {
+    const res = await axios.get(`${ollamaApiEndpoint}/api/tags`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const { models } = res.data;
+
+    const chatModels: Record<string, ChatModel> = {};
+
+    models.forEach((model: any) => {
+      chatModels[model.model] = {
+        displayName: model.name,
+        model: new ChatOllama({
+          baseUrl: ollamaApiEndpoint,
+          model: model.model,
+          temperature: 0.7,
+          keepAlive: getKeepAlive(),
+          ...(ollamaApiKey
+            ? { headers: { Authorization: `Bearer ${ollamaApiKey}` } }
+            : {}),
+        }),
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading Ollama models: ${err}`);
+    return {};
+  }
+};
+
+export const loadOllamaEmbeddingModels = async () => {
+  const ollamaApiEndpoint = getOllamaApiEndpoint();
+  const ollamaApiKey = getOllamaApiKey();
+
+  if (!ollamaApiEndpoint) return {};
+
+  try {
+    const res = await axios.get(`${ollamaApiEndpoint}/api/tags`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const { models } = res.data;
+
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    models.forEach((model: any) => {
+      embeddingModels[model.model] = {
+        displayName: model.name,
+        model: new OllamaEmbeddings({
+          baseUrl: ollamaApiEndpoint,
+          model: model.model,
+          ...(ollamaApiKey
+            ? { headers: { Authorization: `Bearer ${ollamaApiKey}` } }
+            : {}),
+        }),
+      };
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading Ollama embeddings models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/openai.ts

@@ -0,0 +1,159 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getOpenaiApiKey } from '../config';
+import { ChatModel, EmbeddingModel } from '.';
+
+export const PROVIDER_INFO = {
+  key: 'openai',
+  displayName: 'OpenAI',
+};
+import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import { Embeddings } from '@langchain/core/embeddings';
+
+const openaiChatModels: Record<string, string>[] = [
+  {
+    displayName: 'GPT-3.5 Turbo',
+    key: 'gpt-3.5-turbo',
+  },
+  {
+    displayName: 'GPT-4',
+    key: 'gpt-4',
+  },
+  {
+    displayName: 'GPT-4 turbo',
+    key: 'gpt-4-turbo',
+  },
+  {
+    displayName: 'GPT-4 omni',
+    key: 'gpt-4o',
+  },
+  {
+    displayName: 'GPT-4o (2024-05-13)',
+    key: 'gpt-4o-2024-05-13',
+  },
+  {
+    displayName: 'GPT-4 omni mini',
+    key: 'gpt-4o-mini',
+  },
+  {
+    displayName: 'GPT 4.1 nano',
+    key: 'gpt-4.1-nano',
+  },
+  {
+    displayName: 'GPT 4.1 mini',
+    key: 'gpt-4.1-mini',
+  },
+  {
+    displayName: 'GPT 4.1',
+    key: 'gpt-4.1',
+  },
+  {
+    displayName: 'GPT 5 nano',
+    key: 'gpt-5-nano',
+  },
+  {
+    displayName: 'GPT 5',
+    key: 'gpt-5',
+  },
+  {
+    displayName: 'GPT 5 Mini',
+    key: 'gpt-5-mini',
+  },
+  {
+    displayName: 'o1',
+    key: 'o1',
+  },
+  {
+    displayName: 'o3',
+    key: 'o3',
+  },
+  {
+    displayName: 'o3 Mini',
+    key: 'o3-mini',
+  },
+  {
+    displayName: 'o4 Mini',
+    key: 'o4-mini',
+  },
+];
+
+const openaiEmbeddingModels: Record<string, string>[] = [
+  {
+    displayName: 'Text Embedding 3 Small',
+    key: 'text-embedding-3-small',
+  },
+  {
+    displayName: 'Text Embedding 3 Large',
+    key: 'text-embedding-3-large',
+  },
+];
+
+export const loadOpenAIChatModels = async () => {
+  const openaiApiKey = getOpenaiApiKey();
+
+  if (!openaiApiKey) return {};
+
+  try {
+    const chatModels: Record<string, ChatModel> = {};
+
+    openaiChatModels.forEach((model) => {
+      // Models that only support temperature = 1
+      const temperatureRestrictedModels = [
+        'gpt-5-nano',
+        'gpt-5',
+        'gpt-5-mini',
+        'o1',
+        'o3',
+        'o3-mini',
+        'o4-mini',
+      ];
+      const isTemperatureRestricted = temperatureRestrictedModels.some(
+        (restrictedModel) => model.key.includes(restrictedModel),
+      );
+
+      const modelConfig: any = {
+        apiKey: openaiApiKey,
+        modelName: model.key,
+      };
+
+      // Only add temperature if the model supports it
+      if (!isTemperatureRestricted) {
+        modelConfig.temperature = 0.7;
+      }
+
+      chatModels[model.key] = {
+        displayName: model.displayName,
+        model: new ChatOpenAI(modelConfig) as unknown as BaseChatModel,
+      };
+    });
+
+    return chatModels;
+  } catch (err) {
+    console.error(`Error loading OpenAI models: ${err}`);
+    return {};
+  }
+};
+
+export const loadOpenAIEmbeddingModels = async () => {
+  const openaiApiKey = getOpenaiApiKey();
+
+  if (!openaiApiKey) return {};
+
+  try {
+    const embeddingModels: Record<string, EmbeddingModel> = {};
+
+    openaiEmbeddingModels.forEach((model) => {
+      embeddingModels[model.key] = {
+        displayName: model.displayName,
+        model: new OpenAIEmbeddings({
+          apiKey: openaiApiKey,
+          modelName: model.key,
+        }) as unknown as Embeddings,
+      };
+    });
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading OpenAI embeddings models: ${err}`);
+    return {};
+  }
+};

src/lib/providers/transformers.ts

@@ -0,0 +1,36 @@
+import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
+
+export const PROVIDER_INFO = {
+  key: 'transformers',
+  displayName: 'Hugging Face',
+};
+
+export const loadTransformersEmbeddingsModels = async () => {
+  try {
+    const embeddingModels = {
+      'xenova-bge-small-en-v1.5': {
+        displayName: 'BGE Small',
+        model: new HuggingFaceTransformersEmbeddings({
+          modelName: 'Xenova/bge-small-en-v1.5',
+        }),
+      },
+      'xenova-gte-small': {
+        displayName: 'GTE Small',
+        model: new HuggingFaceTransformersEmbeddings({
+          modelName: 'Xenova/gte-small',
+        }),
+      },
+      'xenova-bert-base-multilingual-uncased': {
+        displayName: 'Bert Multilingual',
+        model: new HuggingFaceTransformersEmbeddings({
+          modelName: 'Xenova/bert-base-multilingual-uncased',
+        }),
+      },
+    };
+
+    return embeddingModels;
+  } catch (err) {
+    console.error(`Error loading Transformers embeddings model: ${err}`);
+    return {};
+  }
+};

src/lib/search/metaSearchAgent.ts

@@ -16,7 +16,7 @@ import { StringOutputParser } from '@langchain/core/output_parsers';
 import LineListOutputParser from '../outputParsers/listLineOutputParser';
 import LineOutputParser from '../outputParsers/lineOutputParser';
 import { getDocumentsFromLinks } from '../utils/documents';
-import { Document } from '@langchain/core/documents';
+import { Document } from 'langchain/document';
 import { searchSearxng } from '../searxng';
 import path from 'node:path';
 import fs from 'node:fs';

src/lib/searxng.ts

@@ -1,5 +1,5 @@
 import axios from 'axios';
-import { getSearxngURL } from './config/serverRegistry';
+import { getSearxngApiEndpoint } from './config';
 
 interface SearxngSearchOptions {
   categories?: string[];
@@ -23,7 +23,7 @@ export const searchSearxng = async (
   query: string,
   opts?: SearxngSearchOptions,
 ) => {
-  const searxngURL = getSearxngURL();
+  const searxngURL = getSearxngApiEndpoint();
 
   const url = new URL(`${searxngURL}/search?format=json`);
   url.searchParams.append('q', query);
@@ -39,11 +39,10 @@ export const searchSearxng = async (
     });
   }
 
-  const res = await fetch(url);
-  const data = await res.json();
+  const res = await axios.get(url.toString());
 
-  const results: SearxngSearchResult[] = data.results;
-  const suggestions: string[] = data.suggestions;
+  const results: SearxngSearchResult[] = res.data.results;
+  const suggestions: string[] = res.data.suggestions;
 
   return { results, suggestions };
 };

src/lib/serverUtils.ts

@@ -1,7 +0,0 @@
-import crypto from 'crypto';
-
-export const hashObj = (obj: { [key: string]: any }) => {
-  const json = JSON.stringify(obj, Object.keys(obj).sort());
-  const hash = crypto.createHash('sha256').update(json).digest('hex');
-  return hash;
-};

src/lib/types/compute-dot.d.ts

@@ -0,0 +1,5 @@
+declare function computeDot(vectorA: number[], vectorB: number[]): number;
+
+declare module 'compute-dot' {
+  export default computeDot;
+}

src/lib/utils/computeSimilarity.ts

@@ -1,7 +1,17 @@
+import dot from 'compute-dot';
 import cosineSimilarity from 'compute-cosine-similarity';
+import { getSimilarityMeasure } from '../config';
 
 const computeSimilarity = (x: number[], y: number[]): number => {
-  return cosineSimilarity(x, y) as number;
+  const similarityMeasure = getSimilarityMeasure();
+
+  if (similarityMeasure === 'cosine') {
+    return cosineSimilarity(x, y) as number;
+  } else if (similarityMeasure === 'dot') {
+    return dot(x, y);
+  }
+
+  throw new Error('Invalid similarity measure');
 };
 
 export default computeSimilarity;

src/lib/utils/documents.ts

@@ -1,6 +1,6 @@
 import axios from 'axios';
 import { htmlToText } from 'html-to-text';
-import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters';
+import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
 import { Document } from '@langchain/core/documents';
 import pdfParse from 'pdf-parse';
 

tailwind.config.ts

@@ -2,17 +2,17 @@ import type { Config } from 'tailwindcss';
 import type { DefaultColors } from 'tailwindcss/types/generated/colors';
 
 const themeDark = (colors: DefaultColors) => ({
-  50: '#0d1117',
-  100: '#161b22',
-  200: '#21262d',
-  300: '#30363d',
+  50: '#111116',
+  100: '#1f202b',
+  200: '#2d2f3f',
+  300: '#3a3c4c',
 });
 
 const themeLight = (colors: DefaultColors) => ({
   50: '#ffffff',
-  100: '#f6f8fa',
-  200: '#e8edf1',
-  300: '#d0d7de',
+  100: '#f1f5f9',
+  200: '#c4c7c5',
+  300: '#9ca3af',
 });
 
 const config: Config = {
@@ -49,9 +49,6 @@ const config: Config = {
       },
     },
   },
-  plugins: [
-    require('@tailwindcss/typography'),
-    require('@headlessui/tailwindcss')({ prefix: 'headless' }),
-  ],
+  plugins: [require('@tailwindcss/typography')],
 };
 export default config;