llmverify/dist/engines/classification/utils.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.

/**
 * Classification Engine Utilities
 *
 * Shared helper functions for classification.
 *
 * @module engines/classification/utils
 * @author Haiec
 * @license MIT
 */
/**
 * Clamps a value between min and max.
 */
export declare function clamp(value: number, min: number, max: number): number;
/**
 * Computes Shannon entropy of text.
 */
export declare function computeEntropy(text: string): number;
/**
 * Tokenizes text into words.
 */
export declare function tokenize(text: string): string[];
/**
 * Counts sentences in text.
 */
export declare function countSentences(text: string): number;
/**
 * Counts bullet points/list items in text.
 */
export declare function countBullets(text: string): number;
/**
 * Common English stopwords.
 */
export declare const STOPWORDS: Set<string>;
/**
 * Extracts capitalized tokens (potential entities).
 */
export declare function extractCapitalizedTokens(text: string): Set<string>;
/**
 * Computes word frequency excluding stopwords.
 */
export declare function computeWordFrequency(text: string): Map<string, number>;
/**
 * Gets the most frequent word count.
 */
export declare function getMaxWordFrequency(text: string): number;
/**
 * Checks if text contains any of the patterns (case-insensitive).
 */
export declare function containsAny(text: string, patterns: string[]): boolean;
/**
 * Counts how many patterns are found in text.
 */
export declare function countMatches(text: string, patterns: string[]): number;