Streaming Structured Output

Stream structured output from AI prompts in real-time using streamText with Output.object(). Generate typed data with useObject and live rendering.

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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

streamTextOutput.objectuseObject

Providers

OpenAI

5 files

11 total

npm packages

AISDKlucide-reactNext.jsReactZod

Registry components

input-groupseparatoremptyitemalertscroll-area

stream-object/route.ts
API route demonstrating AI SDK streamText with Output.object for structured object streaming. Uses a Zod schema to validate streamed output and toTextStreamResponse().
stream-object/schema.ts
Zod schema defining the structured output shape used by the stream-object route for validated AI output.