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Tools

Schema Validation

Verifying that AI output matches a defined data shape before consumption.

Definition

Schema validation is the practice of verifying that an AI's structured output matches a defined data shape (types, required fields, value ranges) before downstream code consumes it. Tools include Zod (TypeScript), Pydantic (Python), and JSON Schema. Even with structured output APIs, validation provides a final safety net against drift, hallucinated fields, and edge-case malformations.

Example

Zod schema: z.object({ name: z.string().min(1), email: z.string().email(), age: z.number().int().positive() }). AI output validated before being inserted into a database.

When to use

Production AI pipelines, anywhere model output is consumed by typed systems.

Also known as

json schema

Related terms

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