/**
 * SpecCompletionSummary - Displays spec generation recap
 *
 * Shows the goal, key decisions, file preview, and "what's next"
 * section after a spec has been generated. Extracts a recap from
 * the conversation history using heuristic text analysis.
 */
import React from 'react';
import type { Message } from './MessageList.js';
/**
 * Props for the SpecCompletionSummary component
 */
export interface SpecCompletionSummaryProps {
    /** Name of the feature */
    featureName: string;
    /** Generated spec content */
    spec: string;
    /** Path where spec was saved */
    specPath: string;
    /** Conversation messages from the interview */
    messages: Message[];
}
/** Strip filler prefixes from AI recap text and capitalize. */
export declare function normalizeRecap(text: string): string;
/** Strip user speech filler and normalize decision text: add trailing period if missing, capitalize. */
export declare function normalizeUserDecision(text: string): string;
/** Truncate text to max characters with ellipsis. */
export declare function summarizeText(text: string, max?: number): string;
/** Return true if the decision string is substantive enough to display (>= 8 chars and >= 3 words). */
export declare function isUsefulDecision(entry: string): boolean;
/**
 * Extract goal and key decisions from conversation messages.
 *
 * @returns `goalCandidate` — a one-line summary of the feature goal (polished
 *          via selectGoalSource + polishGoalSentence), and
 *          `decisions` — up to 4 key decisions extracted from the conversation.
 */
export declare function extractRecap(messages: Message[], featureName: string): {
    goalCandidate: string;
    decisions: string[];
};
/**
 * SpecCompletionSummary component
 *
 * Renders the spec generation completion recap inline within the
 * InterviewScreen content area.
 */
export declare function SpecCompletionSummary({ featureName, spec, specPath, messages, }: SpecCompletionSummaryProps): React.ReactElement;