import { SpecializedAgent, type TaskAssignmentPayload, type TaskResultPayload } from '../specialized-agent.js';
import type { AgentMessage, ArchitecturePlan, PlanQuestion, PlanAnswer, ReadinessEvaluation, ChatMessage, ChatResponse } from '../types.js';
import type { MessageBus } from '../message-bus.js';
export declare class PlannerAgent extends SpecializedAgent {
    constructor(messageBus: MessageBus, opts?: {
        model?: string;
    });
    protected onMessage(_message: AgentMessage): void;
    executeTask(task: TaskAssignmentPayload): Promise<TaskResultPayload>;
    /**
     * Analyze the user prompt and current plan to generate structured questions
     * about ambiguities that significantly affect architecture decisions.
     */
    generateQuestions(userPrompt: string, currentPlan?: ArchitecturePlan, gaps?: string[]): Promise<PlanQuestion[]>;
    evaluateReadiness(userPrompt: string, allAnswers: PlanAnswer[]): Promise<ReadinessEvaluation>;
    converse(userPrompt: string, conversationHistory: readonly ChatMessage[]): Promise<ChatResponse>;
    /**
     * Refine the architecture plan by incorporating user answers to questions.
     * Returns updated plan and a confidence score (0-1).
     */
    refinePlan(currentPlan: ArchitecturePlan, answers: PlanAnswer[], userPrompt: string): Promise<{
        plan: ArchitecturePlan;
        confidence: number;
    }>;
    /**
     * Try to extract a JSON array from LLM response text.
     */
    private extractJsonArray;
    private extractJsonObject;
    private parsePlanResponse;
    /**
     * Try multiple strategies to extract JSON from LLM response:
     * 1. Direct parse
     * 2. Strip markdown code fences
     * 3. Find first { ... } balanced block
     */
    private extractJson;
}