2026/10/21 -The OpenAI Responses API provides the Structured Outputs API allowing you to request responses conforming to a specific data structure. In this example ...
2026/8/24 -Structured outputs make a model follow a JSON Schema definition that you provide as part of your inference API call. Both the Chat Completions API and ...
2026/10/24 -Here is a simple example demonstrating how to get structured output using Pydantic models: Code. from pydantic import BaseModel from openai import OpenAI ...
2026/9/30 -Extract structured data from a PDF with an LLM in Python: read the PDF, define a schema, get typed JSON, then check it. Where it breaks and how to fix it.
2026/10/6 -How OpenAI structured output works: set strict schemas with Pydantic or Zod in Responses and Chat Completions, and handle refusals and pitfalls.
2026/8/24 -These examples demonstrate how to create an object schema and get a response from the Azure OpenAI model. It uses Python and the Azure OpenAI Structured Outputs ...
2026/9/3 -This guide is a fully public, inexpensive recipe for making a small model substantially better at structured-output compliance. We fine-tune LFM2.5-350M ...
2026/8/24 -Three ways to get valid JSON from an LLM, measured on the same 16 prompts: retry until it parses, repair the string, or mask the logits with a grammar.
2026/8/27 -OpenAI exposes a version of this through strict structured outputs, and if you run models locally you can use GBNF grammars in llama.cpp or a library such as ...
2026/9/16 -OpenAI's Structured Outputs feature enforces a JSON Schema at the API level and ships SDK helpers that parse the result directly into Pydantic models in Python ...