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Demonstrate structured agent outputs using ToolLoopAgent with Output.choice. Constrain agent outputs to predefined choices for predictable, type-safe responses.
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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.
Install from the preview toolbar
Copy the install command above and run it in your project — Pro patterns include a short-lived token.
Add environment variables to .env.local
OPENAI_API_KEY
Point client fetches at your API routes
Replace preview `/view/.../api/...` paths with `/api/...` in the installed files.
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.
Run your dev server and open the pattern route
Install dependencies if needed, then start the app and verify responses.
OPENAI_API_KEYGet keyAI SDK APIs
ToolLoopAgentOutput.choiceagent.generatetoolProviders
app/page.tsxapp/layout.tsxapp/api/choice/route.tscomponents/structured-choice-demo.tsxcomponents/output-display.tsxlib/choice-agent.tstools/weather.tsnpm packages
5
Registry components
lib/choice-agent.tsCore agent definition using ToolLoopAgent with Output.choice() to constrain LLM output to predefined string options.
tools/weather.tsTool definition using ai SDK tool() with zod inputSchema and execute function. Provides the tool the agent calls before producing its constrained choice output.
choice/route.tsAPI route showing how to call ToolLoopAgent.generate() for non-streaming structured output and extract the result.
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Demonstrate structured agent outputs using ToolLoopAgent with Output.choice. Constrain agent outputs to predefined choices for predictable, type-safe responses.