LLM JSON Schemas
How do I handle dynamic or nested fields in a strict JSON schema for AI?
Handle dynamic nested fields in JSON schemas using additionalProperties, oneOf, anyOf, and recursive definitions. Use additionalProperties: true for objects with variable keys while constraining value types. OneOf allows conditional structures where different schemas apply based on a discriminator field. Recursive schemas handle unknown nesting depth through $ref self-references. PatternProperties match dynamic key names: properties matching regex get specific schema. Use anyOf for fields that could be multiple types. AllOf combines multiple schemas for complex requirements. For truly variable structures, define flexible base schemas with optional nested objects. Arrays of objects work well for variable-length data. Consider flattening deeply nested structures when possible as LLMs handle simpler schemas more reliably. Test complex schemas thoroughly as LLMs struggle with intricate nested definitions. Validate schemas with our JSON Validator at jsonconsole.com/json-editor to catch definition errors. Start with simpler schemas and add complexity only when necessary. Balance flexibility with structure for optimal LLM reliability.
Last updated: December 23, 2025
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