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Streaming Structured Output
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.
- Stream structured objects with streamObject
- Validate progressive JSON against a Zod schema
- Render partial structured output as it arrives
Use cases
Products and workflows this pattern is designed to support.
- Streaming form-fill prototypes
- Live structured extraction demos
- AI SDK streamObject onboarding samples
- Progressive JSON generation UIs
Setup
Requirements, wiring steps, and what this pattern adds to your project.
Getting started
Pick how you want to pull this pattern in. Then wire env vars and routes the same way.
- 1
Download → Next.js app
Use Download → Next.js app in the preview toolbar. You get a zip scaffold (Pro downloads rewrite preview `/view/.../api/*` paths to `/api/*` automatically).
- 2
Extract the zip and install dependencies
Unzip the archive, then run `pnpm install` (or npm / yarn) in the project folder.
- 3
Fill .env.local
The download includes .env.local placeholders when needed. Add real values for: OPENAI_API_KEY.
- 4
Customize the agent and tool files
Adapt prompts, tools, and stop conditions in the generated project for your product.
- 5
Run the app and open the pattern route
Run `pnpm dev`, open the setup/checklist page if present, then navigate to the generated pattern route and verify responses.
Environment variables
OPENAI_API_KEYGet key
Capabilities
AI SDK APIs
streamTextOutput.objectuseObjectProviders
OpenAI
Files added
5 filesapp/page.tsxapp/layout.tsxcomponents/basic-stream-object-form.tsxapp/api/stream-object/route.tsapp/api/stream-object/schema.ts
Dependencies
11 totalnpm packages
5AISDKlucide-reactNext.jsReactZod
Registry components
input-groupseparatoremptyitemalertscroll-area
Critical files
stream-object/route.tsAPI 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.tsZod schema defining the structured output shape used by the stream-object route for validated AI output.
Requirements
- Complexity
- Beginner
