Constrained Generation — Animate | AI Wisdom

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🎞 ANIMATE · Mode 3 of 5 · +100 XP— Constrained Generation
📐Schema
💬Prompt
⚙️Parse
✅Output
🎯 Next: Test →
Step 1 / 4
Speed
Define output schema
Zod schema defines the exact shape of LLM output💡 Analogy
Like a form with specific fields — the model fills in blanks rather than writing free text.
We define exactly what fields we want from the model: name, price, category, and stock status.
Console Output
> Schema: { name: string, price: number, category: enum, inStock: boolean }
> Validation: strict
●constrained-generation.ts
Define output schemaL4–9
1import { z } from 'zod';
2import { zodResponseFormat } from 'openai/helpers/zod';
3 
4const ProductSchema = z.object({
5  name: z.string(),
6  price: z.number().positive(),
7  category: z.enum(['electronics', 'clothing', 'food']),
8  inStock: z.boolean(),
9});
10 
11const response = await openai.beta.chat.completions.parse({
12  model: 'gpt-4o',
13  messages: [{ role: 'user', content: 'Extract product from: Blue T-Shirt $29.99, clothing, available' }],
14  response_format: zodResponseFormat(ProductSchema, 'product'),
15});
16 
17const product = response.choices[0].message.parsed;
18// { name: 'Blue T-Shirt', price: 29.99, category: 'clothing', inStock: true }
18 lines
Timeline — 4 Steps
Define output schema
Zod schema defines the exact shape of LLM output💡 Analogy
Like a form with specific fields — the model fills in blanks rather than writing free text.
We define exactly what fields we want from the model: name, price, category, and stock status.
Console Output
> Schema: { name: string, price: number, category: enum, inStock: boolean }
> Validation: strict

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Discussion

Zod schema defines the exact shape of LLM output

💡 Analogy

Like a form with specific fields — the model fills in blanks rather than writing free text.

We define exactly what fields we want from the model: name, price, category, and stock status.

Console Output

> Schema: { name: string, price: number, category: enum, inStock: boolean }
> Validation: strict

Zod schema defines the exact shape of LLM output

💡 Analogy

Like a form with specific fields — the model fills in blanks rather than writing free text.

We define exactly what fields we want from the model: name, price, category, and stock status.

Console Output

> Schema: { name: string, price: number, category: enum, inStock: boolean }
> Validation: strict