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Choosing and using JSON schemas for LLM output

JSON schema patterns for LLM outputRepairing broken LLM JSONStructured output vs function callingSchema compliance across modelsGenerating schemas from code
AI agents

Choosing and using JSON schemas for LLM output

  • Field Order as a Contract: Testing the First Keys
  • JSON Schema Patterns for LLM Outputs
  • JSON Schema Patterns That Stream Well
  • Schema Tests for Approval Requests: Fixtures That Catch Edits
  • A Confidence Schema for Support Answers: Score and Source
  • Choosing Nullable, Enum or Union by First-Failure Rate
  • Field-Level Extraction Before Merging
  • Incremental JSON Parsers Compared: Which Field Arrives First
  • Saving a Partial Object: Staging Rows and Commit Rules
  • Schema Design for Reliability: Nullable Fields, Enums and Unions
  • Schema-Driven Routing: Picking the Next Step
  • Versioning Enum Values in LLM Outputs
Structured output and schemas

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