@bobmatnyc/ai-code-review/dist/prompts/meta/PromptOptimizer.d.ts

A TypeScript-based tool for automated code reviews using AI models from Google Gemini, Anthropic Claude, and OpenRouter

/**
 * @fileoverview Prompt optimizer for improving code review prompts.
 *
 * This module provides functionality for analyzing and improving code review prompts
 * based on the results they generate and user feedback.
 */
import { ReviewResult } from '../../types/review';
import { PromptManager } from '../PromptManager';
import { PromptCache } from '../cache/PromptCache';
import { ApiClientConfig } from '../../core/ApiClientSelector';
/**
 * Feedback on review quality
 */
export interface ReviewFeedback {
    /**
     * Rating from 1-5 (1 = poor, 5 = excellent)
     */
    rating: number;
    /**
     * Comments on the review quality
     */
    comments?: string;
    /**
     * Specific aspects that were good
     */
    positiveAspects?: string[];
    /**
     * Specific aspects that could be improved
     */
    negativeAspects?: string[];
}
/**
 * Optimizer for code review prompts
 */
export declare class PromptOptimizer {
    private promptManager;
    private promptCache;
    /**
     * Create a new prompt optimizer
     * @param promptManager Prompt manager instance
     * @param promptCache Prompt cache instance
     */
    constructor(promptManager: PromptManager, promptCache: PromptCache);
    /**
     * Optimize a prompt based on review results and feedback
     * @param originalPrompt Original prompt template
     * @param reviewResult Review result generated with the prompt
     * @param feedback Feedback on the review quality
     * @param apiClientConfig API client configuration
     * @returns Promise resolving to the optimized prompt
     */
    optimizePrompt(originalPrompt: string, reviewResult: ReviewResult, feedback: ReviewFeedback, apiClientConfig: ApiClientConfig): Promise<string>;
    /**
     * Load the meta-prompt template for prompt optimization
     * @returns Promise resolving to the meta-prompt template
     */
    private loadMetaPromptTemplate;
    /**
     * Format the meta-prompt with the original prompt, review results, and feedback
     * @param metaPromptTemplate Meta-prompt template
     * @param originalPrompt Original prompt template
     * @param reviewResult Review result generated with the prompt
     * @param feedback Feedback on the review quality
     * @returns Formatted meta-prompt
     */
    private formatMetaPrompt;
    /**
     * Format feedback as a string
     * @param feedback Feedback on the review quality
     * @returns Formatted feedback string
     */
    private formatFeedback;
    /**
     * Generate an optimized prompt using the appropriate API client
     * @param metaPrompt Meta-prompt for prompt optimization
     * @param apiClientConfig API client configuration
     * @returns Promise resolving to the optimized prompt
     */
    private generateOptimizedPrompt;
    /**
     * Cache an optimized prompt for future use
     * @param reviewType Type of review
     * @param optimizedPrompt Optimized prompt template
     * @param rating Rating of the optimized prompt
     */
    private cacheOptimizedPrompt;
}