export interface HallucinationInput {
    /** The assistant's final text for this iteration. */
    text: string;
    /** Tool names declared in the loop's input.tools[]. When provided we
     *  use them to tighten matching: a narrated call like "I will call
     *  native_foo" only counts if `native_foo` is in our actual tool
     *  surface. Empty array = skip the cross-check (treat any native_*
     *  name as a candidate). */
    toolNames?: ReadonlyArray<string>;
    /** How many real tool calls the LLM emitted this iteration. We flag
     *  only when 0 — if the model emitted even one real call we trust the
     *  narration was framing a follow-up. */
    emittedToolCallCount: number;
}
export interface HallucinationVerdict {
    /** True iff the text narrates a tool call but no real calls happened. */
    hallucinated: boolean;
    /** The matched substring (≤120 chars, single-line) for audit / debug. */
    evidence?: string;
    /** Which pattern fired — useful for tuning + analytics. */
    pattern?: 'zh:invoke-narration' | 'zh:promise-no-action' | 'en:invoke-narration' | 'zh:direct-write-block';
}
/**
 * Read the kill-switch env. Default ON.
 * Recognized OFF values: 'off' / '0' / 'false' / 'no' / 'disable'.
 */
export declare function isHallucinationDetectorOn(): boolean;
/**
 * Decide whether the text narrates a tool call that never actually
 * happened. Pure function; no I/O.
 */
export declare function detectHallucinatedToolCall(input: HallucinationInput): HallucinationVerdict;
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