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Free ebookLLM OutputStructured DataPydantic

Filtering and structured LLM output

The production patterns for getting predictable structured output from LLMs: JSON schemas, Pydantic validators, repair loops, and grounding checks.

Inside the ebook

What you get

  • Design JSON schemas the LLM will actually follow
  • Use Pydantic to validate and repair structured output
  • Add a bounded repair loop that fixes small drift without infinite retries
  • Ground output in retrieved context to cut hallucinated fields
  • Measure schema compliance as a first-class metric

Inside

  • Why free-text output fails in production
  • Schema design: fewer fields, stricter types
  • Pydantic validation and model-side fixes
  • Bounded repair loops
  • Grounding checks on extracted fields
  • Compliance metrics and alerting
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