dfe3005fe6
Update our example with the latest version of `arcade-js`. This means we can delete all the utility functions we created here, since we now have first-class `Zod` support and they are no longer needed. > [!WARNING] > Don't merge until this [PR](https://github.com/ArcadeAI/arcade-js/pull/127) is merged.
50 lines
1.8 KiB
JavaScript
50 lines
1.8 KiB
JavaScript
import { openai } from "@ai-sdk/openai"
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import { Arcade } from "@arcadeai/arcadejs"
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import { executeOrAuthorizeZodTool, toZodToolSet } from "@arcadeai/arcadejs/lib"
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import { streamText } from "ai"
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const arcade = new Arcade()
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/**
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* Get the Google toolkit.
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*/
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const googleToolkit = await arcade.tools.list({
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limit: 25,
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toolkit: "google",
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})
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/**
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* The Vercel AI SDK requires tools to be defined using Zod, a TypeScript-first schema validation library
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* that has become the standard for runtime type checking. Zod is particularly valuable because it:
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* - Provides runtime type safety and validation
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* - Offers excellent TypeScript integration with automatic type inference
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* - Has a simple, declarative API for defining schemas
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* - Is widely adopted in the TypeScript ecosystem
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*
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* Arcade provides `toZodToolSet` to convert our tools into Zod format, making them compatible
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* with the AI SDK.
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*
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* The `executeOrAuthorizeZodTool` helper function simplifies authorization.
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* It checks if the tool requires authorization: if so, it returns an authorization URL,
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* otherwise, it runs the tool directly without extra boilerplate.
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*
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* Learn more: https://docs.arcade.dev/home/use-tools/get-tool-definitions#get-zod-tool-definitions
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*/
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const googleTools = toZodToolSet({
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tools: googleToolkit.items,
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client: arcade,
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userId: "<YOUR_USER_ID>", // Your app's internal ID for the user (an email, UUID, etc). It's used internally to identify your user in Arcade
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executeFactory: executeOrAuthorizeZodTool,
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})
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const { textStream } = streamText({
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model: openai("gpt-4o-mini"),
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prompt: "Read my last email and summarize it in a few sentences",
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tools: googleTools,
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maxSteps: 5,
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})
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// Stream the response to the console
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for await (const chunk of textStream) {
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process.stdout.write(chunk)
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}
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