import type { Model } from "../../internal/llm.js";
import type { AgentMessage, ThinkingLevel } from "../../internal/harness-types.js";
import type { Brain } from "../types.js";
import type { ModelPricing } from "../pricing.js";
/** The LLM handle for the suggestion pass (mirrors `ConsolidationLLM`). */
export interface SuggestionLLM {
    brain: Brain;
    model: Model;
    pricing: ModelPricing;
    thinking?: ThinkingLevel;
    getApiKeyAndHeaders?: (model: Model) => Promise<{
        apiKey?: string;
        headers?: Record<string, string>;
    } | undefined> | {
        apiKey?: string;
        headers?: Record<string, string>;
    } | undefined;
    signal?: AbortSignal;
}
export interface SuggestionResult {
    suggestions: string[];
    tokens: number;
    costMicroUsd: number;
}
/** Parse the model's reply into ≤count clean suggestion strings. Returns [] on anything non-conforming. */
export declare function parseSuggestions(text: string, count: number): string[];
/**
 * Run ONE suggestion inference pass. May throw on a hard LLM/transport error — the caller
 * (`Runner.suggestNextPrompts`) is fire-and-forget and swallows, so a failure just yields no suggestions.
 * Returns `{ suggestions: [], tokens: 0, costMicroUsd: 0 }` when the transcript is empty.
 */
export declare function generatePromptSuggestions(llm: SuggestionLLM, transcript: AgentMessage[], count: number): Promise<SuggestionResult>;