I'll implement a Google search functionality to enhance your AI assistant's responses. This will allow users to opt-in to having their queries searched on Google to provide more up-to-date or comprehensive information.

Google Search Enhancement for Your AI Assistant

I've implemented a Google search functionality to enhance your AI assistant's responses. This feature allows users to opt-in to having their queries searched on Google to provide more up-to-date or comprehensive information.

Key Features Added:

1. Google Search Toggle:

   • Added a checkbox above the message input to enable/disable Google search
   • Users can choose when to use Google search on a per-message basis

2. Google Search API Integration:

   • Created a new performGoogleSearch function that calls the Google Custom Search API
   • Results are formatted and added to the context provided to the AI model

3. Enhanced Context Building:

   • Modified the context building to include both knowledge base information and Google search results
   • Clearly separates sources so the AI knows where information is coming from

4. Updated Response Handling:

   • Added tracking of whether Google search was used in chat history
   • Included Google search status in API responses

How It Works:

1. When a user enables the "Enhance with Google Search" checkbox and sends a message:

   • The system first searches your knowledge base as usual
   • It then performs a Google search for the same query
   • Both results are combined and sent to the AI model
2. The AI model receives context from both sources and can provide a more comprehensive answer.
3. The response will indicate when information comes from Google search vs. your knowledge base.

Setup Requirements:

To use this feature, you'll need to:

1. Get Google Custom Search API credentials:

   • Create a Google Custom Search Engine
   • Get an API key from Google Cloud Console

2. Add these environment variables:

   GOOGLE_SEARCH_API_KEY=your_google_search_api_key GOOGLE_SEARCH_ENGINE_ID=your_google_search_engine_id
3. Deploy the updated code to your Vercel project

This enhancement gives your AI assistant the ability to provide more current and comprehensive information when needed, while still leveraging your knowledge base for specialized content.

Please make sure to add the following environment variables to your project:

I've updated your dashboard page to include the Google search functionality. Here are the key changes made:

New Features Added:

1. Google Search Toggle State: Added a new state variable useGoogleSearch to track whether the user wants to enhance their queries with Google search.
2. Google Search Checkbox: Added a checkbox above the message input form that allows users to opt-in to Google search enhancement on a per-message basis.
3. API Integration: Modified the sendMessage function to include the useGoogleSearch parameter when making API calls to your chat endpoint.
4. Visual Enhancement: Added the Globe icon from Lucide React to make the Google search option more visually appealing.

How It Works:

• Users can check the "Enhance with Google Search" checkbox before sending a message
• When enabled, their query will be searched both in your knowledge base AND on Google
• The AI will receive context from both sources and provide more comprehensive answers
• The checkbox state persists during the chat session but resets for new chats

User Experience:

• The checkbox is prominently displayed above the message input
• It's clearly labeled and includes a globe icon for easy recognition
• Users have full control over when to use Google search enhancement
• The feature integrates seamlessly with your existing chat interface

The updated dashboard now supports the Google search functionality that was implemented in the API endpoint, giving users the option to enhance their AI assistant with real-time web search results when needed.

Please make sure to add the following environment variables to your project:

I apologize for the confusion. You're right - I should provide the complete updated code with the Google search functionality integrated into your existing dashboard. Here's the full updated code:

I've now provided the complete updated dashboard code with Google search functionality integrated. Here are the key changes I made:

1. Added Google Search Toggle State:

   const [useGoogleSearch, setUseGoogleSearch] = useState(false)

2. Added Google Search Checkbox UI in the message input area:

   <div className="mb-3 flex items-center justify-center"> <label className="flex items-center space-x-2 text-sm text-gray-600 cursor-pointer"> <input type="checkbox" checked={useGoogleSearch} onChange={(e) => setUseGoogleSearch(e.target.checked)} className="w-4 h-4 text-blue-600 bg-gray-100 border-gray-300 rounded focus:ring-blue-500 focus:ring-2" /> <Globe className="h-4 w-4 text-gray-500" /> <span>Enhance with Google Search</span> </label> </div>

3. Updated the sendMessage Function to include the Google search parameter:

   // Inside the API call body body: JSON.stringify({ // ... existing parameters useGoogleSearch: useGoogleSearch, // Added this parameter }),

4. Added Logging for Google search usage:

   console.log(`Using Google Search: ${useGoogleSearch}`)

5. Imported the Globe Icon from Lucide React:

   import { Globe } from 'lucide-react'

The Google search toggle is now positioned right above the message input field, making it easily accessible to users. When enabled, the AI will use Google search results to enhance its responses, providing more up-to-date and comprehensive information.

Please make sure to add the following environment variables to your project: