mcp-adr-analysis-server/dist/src/prompts/prompt-catalog.d.ts

MCP server for analyzing Architectural Decision Records and project architecture

/**
 * CE-MCP Prompt Catalog
 *
 * Provides lazy loading of prompts - instead of importing all 6,145 lines
 * of prompt code upfront, this catalog allows on-demand loading of specific
 * prompt sections, reducing token usage by ~96%.
 *
 * @see ADR-014: CE-MCP Architecture
 */
import { PromptCatalog, PromptCatalogEntry } from '../types/ce-mcp.js';
/**
 * Prompt catalog with metadata for lazy loading
 *
 * Token estimates based on ~4 chars per token average
 */
export declare const PROMPT_CATALOG: PromptCatalog;
/**
 * Get total token count if all prompts were loaded
 */
export declare function getTotalPromptTokens(): number;
/**
 * Get prompts by category
 */
export declare function getPromptsByCategory(category: PromptCatalogEntry['category']): string[];
/**
 * Get prompt metadata
 */
export declare function getPromptMetadata(promptName: string): PromptCatalogEntry | undefined;
/**
 * Prompt Loader Service
 *
 * Handles lazy loading of prompts with caching
 */
export declare class PromptLoader {
    private cache;
    private cacheTTL;
    constructor(cacheTTL?: number);
    /**
     * Load a specific prompt section
     *
     * @param promptName - Name of the prompt (e.g., 'adr-suggestion')
     * @param section - Optional section within the prompt
     * @returns Promise resolving to the prompt content
     */
    loadPrompt(promptName: string, section?: string): Promise<string>;
    /**
     * Load prompt file content
     */
    private loadPromptFile;
    /**
     * Parse sections from prompt content
     */
    private parseSections;
    /**
     * Preload prompts that are commonly used together
     */
    preloadPromptGroup(promptNames: string[]): Promise<void>;
    /**
     * Get estimated tokens for a prompt
     */
    getEstimatedTokens(promptName: string, section?: string): number;
    /**
     * Get recommendations for which prompts to load
     */
    getLoadRecommendations(taskType: string): string[];
    /**
     * Clear cache
     */
    clearCache(): void;
    /**
     * Get cache statistics
     */
    getCacheStats(): {
        size: number;
        entries: string[];
    };
}
/**
 * Get or create the global prompt loader
 */
export declare function getPromptLoader(cacheTTL?: number): PromptLoader;
/**
 * Reset the global prompt loader
 */
export declare function resetPromptLoader(): void;
/**
 * Token savings calculation
 */
export declare function calculateTokenSavings(loadedPrompts: string[]): {
    loaded: number;
    total: number;
    saved: number;
    percentage: number;
};
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