/**
 * Bayesian Anomaly Score Calculator.
 *
 * Computes per-token anomaly scores from top-K logprob distributions,
 * approximating Misra's Bayesian geometry signals. Used by the streaming
 * verifier (Task 11) and MCP server (Task 12) in the production pipeline.
 *
 * 8 features extracted per token:
 *  1. outputEntropy      — Shannon entropy of the top-K distribution
 *  2. entropyDelta       — Change in entropy from previous token
 *  3. distributionGini   — Normalized Gini coefficient: G / (1 - 1/K)
 *  4. repetitionConfidence — How often this token appeared in prompt
 *  5. structuralMismatch — Placeholder (0) — wired in Task 10.5
 *  6. bayesianUpdateRate — KL divergence proxy: |H_t - H_{t-1}| / H_t
 *  7. distributionModality — Number of modes in the distribution
 *  8. entropyAcceleration — Second derivative of entropy over time
 *
 * Score: sigmoid(weights . features + intercept)
 * Depth: green (< greenThreshold), red (> redThreshold), amber otherwise
 */
import type { TokenLogprobs, BayesianAnomalyScore, BASConfig } from './types.js';
export declare class BASCalculator {
    private readonly config;
    private prevEntropy;
    private prevDelta;
    private promptTokenSet;
    private structuralEntropy;
    private language;
    constructor(config: BASConfig);
    /** Set the language for structural entropy computation. */
    setLanguage(lang: string): void;
    /** Feed prompt tokens so repetitionConfidence can be computed. */
    setPromptTokens(tokens: string[]): void;
    /** Reset sequential state between sequences. */
    reset(): void;
    /** Process a single token and return its BAS result. */
    processToken(token: TokenLogprobs): BayesianAnomalyScore;
    private extractFeatures;
    private computeScore;
    private classifyDepth;
}