PatternsTools & Utilities

Tool Execution

Connect AI agents with external APIs and services. Demonstrates tool calling with weather data, error handling, and visual feedback.

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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, UPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN
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

streamTexttoolconvertToModelMessages

Providers

OpenAI

6 files

11 total

npm packages

AISDKshadcn/uiNext.jsReactstreamdownZod

Registry components

buttontooltipmessage-scrollermessagebubble

chat/route.ts
API route demonstrating inline tool definition with execute function. Defines a fetch_weather_data tool with zod schema and mock execute function. Shows the pattern for tools with immediate execution.