📄 ai-sdk/cookbook/node/generate-object-reasoning

Reasoning models, like DeepSeek's R1, are gaining popularity due to their ability to understand and generate better responses to complex queries than non-reasoning models. You may want to use these models to generate structured data. However, most (like R1 and OpenAI's o1) do not support tool-calling or structured outputs.

One solution is to pass the output from a reasoning model through a smaller model that can output structured data (like gpt-4o-mini). These lightweight models can efficiently extract the structured data while adding very little overhead in terms of speed and cost.

import { deepseek } from '@ai-sdk/deepseek';import { openai } from '@ai-sdk/openai';import { generateObject, generateText } from 'ai';import 'dotenv/config';import { z } from 'zod';
async function main() {  const { text: rawOutput } = await generateText({    model: deepseek('deepseek-reasoner'),    prompt:      'Predict the top 3 largest city by 2050. For each, return the name, the country, the reason why it will on the list, and the estimated population in millions.',  });
  const { object } = await generateObject({    model: openai('gpt-4o-mini'),    prompt: 'Extract the desired information from this text: \n' + rawOutput,    schema: z.object({      name: z.string().describe('the name of the city'),      country: z.string().describe('the name of the country'),      reason: z        .string()        .describe(          'the reason why the city will be one of the largest cities by 2050',        ),      estimatedPopulation: z.number(),    }),    output: 'array',  });
  console.log(object);}
main().catch(console.error);

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Generate Object with a Reasoning Model

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