Basic Chat Interface

Chat interface with streaming responses and message history. Includes typing indicators and message status tracking.

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Problems solved

Technical challenges this implementation handles out of the box.

Products and workflows this pattern is designed to support.

Requirements, wiring steps, and what this pattern adds to your project.

Pick how you want to pull this pattern in — then wire env vars and routes the same way.

1
Install from the preview toolbar
Copy the install command above and run it in your project — Pro patterns include a short-lived token.
2
Add environment variables to .env.local
OPENAI_API_KEY
3
Point client fetches at your API routes
Replace preview `/view/.../api/...` paths with `/api/...` in the installed files.
4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions for your product — Copy for AI in the toolbar helps seed that work.
5
Run your dev server and open the pattern route
Install dependencies if needed, then start the app and verify responses.

AI SDK APIs

streamTextconvertToModelMessages

Providers

OpenAI

4 files

6 total

npm packages

AISDKlucide-reactNext.jsReact

Registry components

emptytooltip

chat/route.ts
API route showing the pattern for model switching (user-selected model vs perplexity/sonar for web search) and enabling sendSources/sendReasoning in toUIMessageStreamResponse.