# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference)
# Canonical Residual: https://corpusfetch.com/c/what-distinguishes-orthogonal-multi-agent-verification-from-correlated-consensus-collapse.md
# Remnant Warrant:    https://corpusfetch.com/c/what-distinguishes-orthogonal-multi-agent-verification-from-correlated-consensus-collapse.warrant.json
# Markdown SHA-256:   eff45f13f546ed240358f2652869a9b02eeb85424f52a4fd7f1523d14b64efc8
# Code AST SHA-256:   d1785af58b56e72ff011d99a023db05e7ff0a736b48f393ff41e17d64346cd24
# Verified Classes:   CorrelatedConsensusCollapseError, OrthogonalVerificationAuditor
# Defensive Guards:   1 fail-closed invariants (zero external deps)

from dataclasses import dataclass


class CorrelatedConsensusCollapseError(ValueError):
    """Raised when multi-agent verification relies on correlated prompts or models."""
    pass


class OrthogonalVerificationAuditor:
    @classmethod
    def verify_independence(cls, model_families: set[str], prompt_variants: set[str]) -> None:
        if len(model_families) < 2 or len(prompt_variants) < 2:
            raise CorrelatedConsensusCollapseError("Insufficient orthogonal diversity; risk of consensus collapse.")