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Validator

As explained in Machine Learning Platform Engineering

A validator is a software component that evaluates content against defined criteria and may reject, modify, regenerate, or allow it.

A validator evaluates content against defined criteria before or after LLM processing. In production safety guardrails, it can reject unsafe input, redact sensitive data, remove prohibited output, or allow compliant content. section 13.3.1

Production validators commonly handle:

  • Input screening for malicious content, PII, and policy violations before expensive LLM processing. section 13.3.1
  • Output checking for prohibited competitor mentions, with a fix action that removes flagged sentences. section 13.3.1
  • Failure strategies selected by violation type, including exceptions for blocked input and fixes for detectable PII. section 13.3.1

Guardrails input validation

A Guardrails AI input guard combines a competitor check configured with an exception action and a PII validator configured to fix email addresses, credit cards, and SSNs. Calling validate returns sanitized output when successful; failures are logged and raised for handling.

How Machine Learning Platform Engineering covers it

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 it assumes
Assumes an LLM pipeline and business safety policies while introducing input guards, output guards, and failure actions.
What you can do after
Operate validators through Guardrails AI to screen inputs, sanitize PII, reject violations, and inspect LLM outputs.
How it connects
Connects validators to input validation, PII detection, content filtering, safety guardrails, and LLM processing.

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This explainer was generated by Manning's knowledge graph from the text of Machine Learning Platform Engineering. The section links point to the parts of the book it draws on.