llmverify/dist/engines/classification/instruction-eval.d.ts

AI Output Verification Toolkit — Local-first LLM safety, hallucination detection, PII redaction, prompt injection defense, and runtime monitoring. Zero telemetry. OWASP LLM Top 10 aligned.

/**
 * Instruction-Following Evaluation Module
 *
 * Evaluates whether LLM output follows specified instruction rules.
 *
 * @module engines/classification/instruction-eval
 * @author Haiec
 * @license MIT
 */
import { InstructionRule, RuleResult } from './types';
/**
 * Result of instruction evaluation.
 */
export interface InstructionEvalResult {
    ruleResults: RuleResult[];
    complianceRatio: number;
    instructionFollowed: boolean;
}
/**
 * Evaluates all instruction rules against output.
 *
 * @param text - The output text
 * @param normalizedJson - Parsed JSON if available
 * @param rules - Instruction rules to evaluate
 * @param isJson - Whether output is valid JSON
 * @returns Evaluation result with compliance ratio
 */
export declare function evaluateInstructionRules(text: string, normalizedJson: unknown | undefined, rules: InstructionRule[], isJson: boolean): InstructionEvalResult;