OpenAI & AI SDK Chatbot V0 Template: From Scaffold to Production Chatbot

Update the system message passed to the streamText call in the API route to: 'You are Aria, a helpful customer support assistant for [Your Company]. Always respond in a friendly, concise tone. If asked about pricing, direct users to contact@yourcompany.com. Never discuss competitors.' Replace the current system prompt wherever it appears in the route handler file.

Add a copy icon button to each MessageBubble that appears only for assistant messages (not user messages). On click, copy the message text content to the clipboard using navigator.clipboard.writeText(). Show a brief 'Copied!' toast using shadcn/ui Toaster that disappears after 2 seconds. Position the copy button in the top-right corner of the MessageBubble on hover.

Wire the ModelSelector dropdown so the selected model ID is passed to the useChat options as the model parameter. Store the selected model ID in localStorage under the key 'chatbot-model' so the choice persists across page refreshes. Default to 'gpt-4o-mini' for cost efficiency. When the user switches models in ModelSelector, update the useChat configuration immediately without requiring a page reload.

Create a Supabase table named 'conversations' with columns: id (uuid, primary key), session_id (text), role (text), content (text), created_at (timestamptz). After each AI response completes in the useChat onFinish callback, upsert both the user message and assistant reply to this table via a server action using SUPABASE_SERVICE_ROLE_KEY. In ConversationSidebar, fetch all distinct session_ids and display them with their first user message as the session title. Clicking a session loads its messages as initialMessages in useChat. Add SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY to the Vars panel.

Add Clerk authentication: wrap the root layout with ClerkProvider, add clerkMiddleware to middleware.ts. Add a SignInButton component in the ChatWindow header for unauthenticated users. In the 'conversations' Supabase table, add a user_id (text) column. In the server action that saves messages, read userId from auth() in Clerk and include it in the insert. Add a Row Level Security policy on conversations: 'users can only SELECT and INSERT rows where user_id matches their own'. Update ConversationSidebar to filter sessions by the current user's ID. Add NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY and CLERK_SECRET_KEY to the Vars panel.

Add an OpenAI function tool named 'get_weather' to the streamText call. Define it using the AI SDK v6 tool() helper with a Zod schema: z.object({ city: z.string() }). The execute function should fetch weather from a public API and return temperature and condition. In ChatWindow, render tool call results in a distinct ToolResultBubble component — styled differently from regular MessageBubble — that shows the city name, temperature, and weather icon. Wire the tool in the route handler and ensure the tool result is passed back to the model for a final conversational response.