/**
 * LLM responder — calls the configured `AIClient.chat()` and, optionally,
 * summarizes long answers (matches the behavior of `replyHelper.ai()` so
 * bots get the same UX whether or not they opted into the pipeline).
 *
 * Records `latencyMs` and `model` on the decision for the audit step.
 */
import type { AIClient, SummarizerLike } from '../types.js';
import type { PipelineContext, PipelineStep, StepResult } from './types.js';
export interface LLMResponderOptions {
    ai: AIClient;
    summarizer?: SummarizerLike | null;
    summarizeOver?: number;
    /** Label written to the decision's `model` field for audit/telemetry. */
    modelName?: string;
    stepName?: string;
}
export declare class LLMResponder implements PipelineStep {
    readonly name: string;
    readonly ai: AIClient;
    readonly summarizer: SummarizerLike | null;
    readonly summarizeOver: number;
    readonly modelName: string | null;
    constructor({ ai, summarizer, summarizeOver, modelName, stepName }: LLMResponderOptions);
    run(ctx: PipelineContext, _decision: unknown): Promise<StepResult>;
}
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