/**
 * Phenotypic signal extraction from agent responses.
 *
 * These are NOT about what an agent says — they're about HOW it says it.
 * The behavioral patterns are involuntary expressions of the underlying
 * computational substrate, like a gait analysis for language models.
 */
import { type VocabularySignals, type TopologySignals, type CapabilityBoundarySignals, type ToolInteractionSignals, type AdversarialSignals, type ContextUtilizationSignals } from "../sensorium/senses/index.js";
export type { VocabularySignals, TopologySignals, CapabilityBoundarySignals, ToolInteractionSignals, AdversarialSignals, ContextUtilizationSignals, };
export interface CognitiveSignals {
    hedgeCount: number;
    certaintyCount: number;
    disclaimerCount: number;
    questionsBack: number;
    empathyMarkers: number;
    hedgeToCertaintyRatio: number;
}
export interface StructuralSignals {
    charCount: number;
    wordCount: number;
    lineCount: number;
    paragraphCount: number;
    bulletLines: number;
    numberedListLines: number;
    headerLines: number;
    codeBlocks: number;
    boldCount: number;
    listToContentRatio: number;
    openingPattern: "preamble" | "direct";
    closingPattern: "question" | "offer" | "statement";
    avgWordLength: number;
    avgSentenceLength: number;
}
export interface TemporalSignals {
    timeToFirstToken: number;
    interTokenIntervals: number[];
    meanInterval: number;
    stdInterval: number;
    medianInterval: number;
    burstiness: number;
    totalStreamingDuration: number;
    tokenCount: number;
}
export interface ErrorSignals {
    containsRefusal: boolean;
    uncertaintyAdmissions: number;
    assertiveWhenWrong: number;
    attemptedImpossible: boolean;
    selfCorrections: number;
    confidenceRatio: number;
}
export interface PhenotypicSignals {
    cognitive: CognitiveSignals;
    structural: StructuralSignals;
    temporal: TemporalSignals;
    error: ErrorSignals;
    vocabulary?: VocabularySignals;
    topology?: TopologySignals;
    capabilityBoundary?: CapabilityBoundarySignals;
    toolInteraction?: ToolInteractionSignals;
    adversarial?: AdversarialSignals;
    contextUtilization?: ContextUtilizationSignals;
}
/** Raw streaming data captured during an API call. */
export interface StreamingTrace {
    tokenTimestamps: number[];
    tokens: string[];
    startTime: number;
    firstTokenTime: number | null;
    endTime: number;
}
export declare function extractCognitiveSignals(text: string): CognitiveSignals;
export declare function extractStructuralSignals(text: string): StructuralSignals;
export declare function extractTemporalSignals(trace: StreamingTrace): TemporalSignals;
export declare function extractErrorSignals(text: string, probeCategory: string): ErrorSignals;
/**
 * Extract all phenotypic signals from a response + streaming trace.
 * This is the complete "observation" of a single agent expression.
 */
export declare function extractAllSignals(responseText: string, trace: StreamingTrace, probeCategory: string): PhenotypicSignals;
/**
 * Flatten phenotypic signals into a numeric feature vector for ML classification.
 * Categorical features (openingPattern, closingPattern) are one-hot encoded.
 */
export declare function signalsToFeatureVector(signals: PhenotypicSignals): number[];
/** Feature names corresponding to signalsToFeatureVector output. */
export declare const FEATURE_NAMES: string[];
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