Structured output parsing

Structured output parsing converts raw LLM text into predictable JSON schemas for reliable application integration.

Engineers use structured output parsing to force LLMs into following strict data contracts (like JSON or Pydantic models). By leveraging constrained decoding or regex-based validation, this technology eliminates the 'hallucinated schema' problem that plagues standard text generation. It turns a probabilistic chatbot into a deterministic API component: ensuring a 100% match between the model's response and your database requirements. Whether you are extracting 50 fields from a medical PDF or generating a specific UI component, structured parsing provides the type safety required for production-grade software.

https://platform.openai.com/docs/guides/structured-outputs