Web Search Tool

Search the web using OpenAI's tool with real-time results. Includes source verification, citation tracking, and contextual answers.

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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
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.

AI SDK APIs

generateTexttool

Providers

OpenAI

3 files

13 total

npm packages

AISDK@hookform/resolversUpstashlucide-reactmotionNext.jsReactreact-hook-formZod

Registry components

buttonforminputskeleton

lib/actions.ts
Core AI web search pipeline: uses OpenAI responses model with the webSearchPreview tool and forced toolChoice to always perform web search. Configures search context size and extracts normalized sources.

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