Earlier functions like generateText
and streamText
gave us the ability to generate unstructured text. However, if you want to generate structured data like JSON, you can provide a schema that describes the structure of your desired object to the generateObject
function.
The function requires you to provide a schema using zod, a library for defining schemas for JavaScript objects. By using zod, you can also use it to validate the generated object and ensure that it conforms to the specified structure.
Let's create a simple React component that will make a POST request to the /api/completion
endpoint when a button is clicked. The endpoint will return the generated object based on the input prompt and we'll display it.
'use client';
import { useState } from 'react';
export default function Page() { const [generation, setGeneration] = useState(); const [isLoading, setIsLoading] = useState(false);
return ( <div> <div onClick={async () => { setIsLoading(true);
await fetch('/api/completion', { method: 'POST', body: JSON.stringify({ prompt: 'Messages during finals week.', }), }).then(response => { response.json().then(json => { setGeneration(json.object); setIsLoading(false); }); }); }} > Generate </div>
{isLoading ? 'Loading...' : <pre>{JSON.stringify(generation)}</pre>} </div> );}
Let's create a route handler for /api/completion
that will generate an object based on the input prompt. The route will call the generateObject
function from the ai
module, which will then generate an object based on the input prompt and return it.
import { generateObject } from 'ai';import { openai } from '@ai-sdk/openai';import { z } from 'zod';
export async function POST(req: Request) { const { prompt }: { prompt: string } = await req.json();
const result = await generateObject({ model: openai('gpt-4'), system: 'You generate three notifications for a messages app.', prompt, schema: z.object({ notifications: z.array( z.object({ name: z.string().describe('Name of a fictional person.'), message: z.string().describe('Do not use emojis or links.'), minutesAgo: z.number(), }), ), }), });
return result.toJsonResponse();}
Earlier functions like generateText
and streamText
gave us the ability to generate unstructured text. However, if you want to generate structured data like JSON, you can provide a schema that describes the structure of your desired object to the generateObject
function.
The function requires you to provide a schema using zod, a library for defining schemas for JavaScript objects. By using zod, you can also use it to validate the generated object and ensure that it conforms to the specified structure.
Let's create a simple React component that will make a POST request to the /api/completion
endpoint when a button is clicked. The endpoint will return the generated object based on the input prompt and we'll display it.
import { useState } from 'react';
export default function Page() { const [generation, setGeneration] = useState(); const [isLoading, setIsLoading] = useState(false);
return ( <div> <div onClick={async () => { setIsLoading(true);
await fetch('/api/completion', { method: 'POST', body: JSON.stringify({ prompt: 'Messages during finals week.', }), }).then(response => { response.json().then(json => { setGeneration(json.object); setIsLoading(false); }); }); }} > Generate </div>
{isLoading ? 'Loading...' : <pre>{JSON.stringify(generation)}</pre>} </div> );}
Let's create a route handler for /api/completion
that will generate an object based on the input prompt. The route will call the generateObject
function from the ai
module, which will then generate an object based on the input prompt and return it.
import { generateObject } from 'ai';import { openai } from '@ai-sdk/openai';import { z } from 'zod';
export async function POST(req: Request) { const { prompt }: { prompt: string } = await req.json();
const result = await generateObject({ model: openai('gpt-4'), system: 'You generate three notifications for a messages app.', prompt, schema: z.object({ notifications: z.array( z.object({ name: z.string().describe('Name of a fictional person.'), message: z.string().describe('Do not use emojis or links.'), minutesAgo: z.number(), }), ), }), });
return result.toJsonResponse();}