/**
 * Scene Context Assembly
 * Loads relevant story context for AI when writing a scene
 */
import type { MCPClient } from '../core/database.js';
import type { SceneContext } from '../types/novel.js';
export interface ContextOptions {
    /**
     * Number of recent chapters to include summaries for
     */
    recentChapterCount?: number;
    /**
     * Maximum word count for context (to fit in AI window)
     */
    maxTokenBudget?: number;
    /**
     * Include full character details or just names
     */
    detailedCharacters?: boolean;
    /**
     * Include world rules relevant to location
     */
    includeWorldRules?: boolean;
}
export declare class SceneContextAssembler {
    private mcpClient;
    private projectId;
    constructor(mcpClient: MCPClient, projectId: number);
    /**
     * Assemble complete context for writing a scene
     */
    assembleContext(sceneId: number, options?: ContextOptions): Promise<SceneContext>;
    /**
     * Prune low-priority context blocks until the assembled context fits within the token budget.
     * Pruning order (lowest priority first):
     *   1. Oldest chapter summaries (keep most recent)
     *   2. Inactive plot threads
     *   3. Non-hard world rules
     *   4. Timeline events
     */
    pruneToTokenBudget(context: SceneContext, budget: number): SceneContext;
    /**
     * Load scene details
     */
    private loadScene;
    /**
     * Load chapter for a scene
     */
    private loadChapterForScene;
    /**
     * Load characters appearing in scene
     */
    private loadSceneCharacters;
    /**
     * Load location details
     */
    private loadLocation;
    /**
     * Load world rules relevant to the scene
     */
    private loadRelevantWorldRules;
    /**
     * Load plot threads active in this scene
     */
    private loadRelevantPlotThreads;
    /**
     * Load summaries of recent chapters for continuity
     */
    private loadRecentChapterSummaries;
    /**
     * Load timeline events relevant to current point in story
     */
    private loadRelevantTimelineEvents;
    /**
     * Format context as markdown for AI prompt
     */
    formatContextAsMarkdown(context: SceneContext): string;
    /**
     * Get estimated token count for context
     */
    estimateTokenCount(context: SceneContext): number;
}
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