Validator
A validator is a person, component, function, or rule set that checks whether an input, state, transaction, or system meets specified validity criteria.
Machine Learning Platform Engineering
A validator is a software component that evaluates content against defined criteria and may reject, modify, regenerate, or allow it.
- How it is used
- Deploys validators as input and output guardrails around LLM processing to enforce safety, privacy, and business policies.
- How deep it goes
- Explains validator categories, failure actions, composition, and a Python validation path, but does not detail validator internals.
- Examples
- Uses competitor-name detection, PII redaction, Guardrails AI configuration, and a multilayered input-to-output guardrail workflow.
- What you can do after
- Operate validators through Guardrails AI to screen inputs, sanitize PII, reject violations, and inspect LLM outputs.
Read how Machine Learning Platform Engineering explains validator →
Django in Action
Code that checks whether a value satisfies specified criteria and raises a validation error when it does not.
- How it is used
- Enforces password rules during password creation and command-line password changes.
- How deep it goes
- Defines validation, names built-in checks, and shows customization, but defers implementation details to documentation.
- Examples
- Uses password-strength checks and the changepassword management command as concrete examples.
- What you can do after
- Operate/configure password validation with changepassword and AUTH_PASSWORD_VALIDATORS, or register a custom validator.
Related concepts
- attributeconfigures · An attribute is a named property, value, or piece of information associated with an entity, object, or program element.
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