Filtering and structured LLM output

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

Prefer a walkthrough? Watch the companion webinar.