promptrix-mcp/dist/handlers/auto-analyze.js

MCP Server for Promptrix - AI prompt enhancement and optimization for Claude Code

import { ErrorCode, McpError } from '@modelcontextprotocol/sdk/types.js';
import { getQualityThreshold } from '../lib/constants.js';
export async function handleAutoAnalyzePrompt(args, apiClient, qualityAnalyzer, requestId) {
    const defaultThreshold = getQualityThreshold();
    const { prompt, threshold = defaultThreshold } = args;
    const reqId = requestId || 'unknown';
    const timestamp = () => new Date().toISOString();
    console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] Auto-analyzing prompt: "${prompt.substring(0, 50)}${prompt.length > 50 ? '...' : ''}"`);
    console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] Quality threshold: ${threshold}`);
    if (!prompt || typeof prompt !== 'string' || prompt.trim().length === 0) {
        console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] ERROR: Invalid prompt provided`);
        throw new McpError(ErrorCode.InvalidParams, 'Prompt is required and must be a non-empty string');
    }
    try {
        // Analyze prompt quality
        const qualityScore = qualityAnalyzer.analyzePromptQuality(prompt.trim());
        console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] Quality analysis complete. Score: ${qualityScore.overall}`);
        const needsImprovement = qualityScore.overall < threshold;
        if (needsImprovement) {
            console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] Prompt quality below threshold. Suggesting enhancement.`);
            return {
                content: [
                    {
                        type: 'text',
                        text: `**Prompt Quality Analysis**\n\n**Quality Score:** ${qualityScore.overall}/100 (Below threshold of ${threshold})\n\n**Issues Detected:**\n${qualityAnalyzer.formatIssues(qualityScore.issues)}\n\n**Suggestions:**\n${qualityScore.suggestions.map((s) => `• ${s}`).join('\n')}\n\n**Recommendation:**\n🔄 Use the 'enhance_prompt' tool to automatically improve this prompt based on the issues detected above.`,
                    },
                    {
                        type: 'text',
                        text: JSON.stringify({
                            quality_score: qualityScore.overall,
                            needs_improvement: needsImprovement,
                            threshold,
                            issues: qualityScore.issues,
                            suggestions: qualityScore.suggestions,
                            confidence: qualityScore.confidence,
                            recommendation: "Use 'enhance_prompt' tool to improve this prompt",
                        }, null, 2),
                    },
                ],
            };
        }
        else {
            console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] Prompt quality acceptable. No enhancement needed.`);
            return {
                content: [
                    {
                        type: 'text',
                        text: `**Prompt Quality Analysis**\n\n**Quality Score:** ${qualityScore.overall}/100 (Above threshold of ${threshold})\n\n**Status:** ✅ Your prompt quality is good! No immediate improvements needed.\n\n**Analysis Details:**\n${qualityScore.suggestions.length > 0 ? qualityScore.suggestions.map((s) => `• ${s}`).join('\n') : '• No significant issues detected'}`,
                    },
                    {
                        type: 'text',
                        text: JSON.stringify({
                            quality_score: qualityScore.overall,
                            needs_improvement: needsImprovement,
                            threshold,
                            issues: qualityScore.issues,
                            suggestions: qualityScore.suggestions,
                            confidence: qualityScore.confidence,
                        }, null, 2),
                    },
                ],
            };
        }
    }
    catch (error) {
        console.error(`[PROMPTRIX-MCP] [${timestamp()}] [${reqId}] ERROR in handleAutoAnalyzePrompt:`, error);
        throw new McpError(ErrorCode.InternalError, `Failed to analyze prompt: ${error instanceof Error ? error.message : 'Unknown error'}`);
    }
}
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