import { NextResponse } from 'next/server' import { z } from 'zod' import { PrismaClient, ChatMessageRole } from '@prisma/client' import { searchBibleHybrid, BibleVerse } from '@/lib/vector-search' import { verifyToken } from '@/lib/auth' const prisma = new PrismaClient() export const runtime = 'nodejs' const chatRequestSchema = z.object({ message: z.string().min(1), conversationId: z.string().optional(), locale: z.string().optional().default('ro'), // Keep history for backward compatibility with frontend history: z.array(z.object({ id: z.string(), role: z.enum(['user', 'assistant']), content: z.string(), timestamp: z.string() })).optional().default([]) }) export async function POST(request: Request) { try { const body = await request.json() const { message, conversationId, locale, history } = chatRequestSchema.parse(body) // Require authentication for chat functionality let userId: string | null = null const authHeader = request.headers.get('authorization') if (!authHeader?.startsWith('Bearer ')) { return NextResponse.json( { success: false, error: 'Authentication required to use chat functionality', code: 'AUTH_REQUIRED' }, { status: 401 } ) } try { const token = authHeader.substring(7) const payload = await verifyToken(token) userId = payload.userId console.log('Chat API - authenticated user:', userId) } catch (error) { return NextResponse.json( { success: false, error: 'Invalid or expired authentication token', code: 'AUTH_INVALID' }, { status: 401 } ) } // Handle conversation logic let finalConversationId = conversationId let conversationHistory: any[] = [] if (userId) { // User is authenticated - use conversation system if (conversationId) { // Load existing conversation const conversation = await prisma.chatConversation.findUnique({ where: { id: conversationId, userId, isActive: true }, include: { messages: { orderBy: { timestamp: 'desc' }, take: 15, // Last 15 messages for context select: { role: true, content: true, timestamp: true } } } }) if (conversation) { conversationHistory = conversation.messages .reverse() // Oldest first for context .map(msg => ({ role: msg.role.toLowerCase(), content: msg.content, timestamp: msg.timestamp.toISOString() })) } } else { // Create new conversation const conversation = await prisma.chatConversation.create({ data: { userId, title: generateConversationTitle(message), language: locale, lastMessageAt: new Date() } }) finalConversationId = conversation.id } } else { // Anonymous user - use provided history for backward compatibility conversationHistory = history } // Generate AI response const aiResponse = await generateBiblicalResponse(message, locale, conversationHistory) // Save messages to database if user is authenticated console.log('Chat API - conversation saving check:', { userId: userId ? 'present' : 'null', finalConversationId: finalConversationId ? 'present' : 'null', willSave: !!(userId && finalConversationId) }) if (userId && finalConversationId) { await prisma.$transaction([ // Save user message prisma.chatMessage.create({ data: { conversationId: finalConversationId, userId, role: ChatMessageRole.USER, content: message, timestamp: new Date() } }), // Save AI response prisma.chatMessage.create({ data: { conversationId: finalConversationId, userId, role: ChatMessageRole.ASSISTANT, content: aiResponse, timestamp: new Date() } }), // Update conversation last message time prisma.chatConversation.update({ where: { id: finalConversationId }, data: { lastMessageAt: new Date() } }) ]) } return NextResponse.json({ success: true, response: aiResponse, conversationId: finalConversationId }) } catch (error) { console.error('Error in chat API:', error) if (error instanceof z.ZodError) { return NextResponse.json( { success: false, error: 'Invalid request format', details: error.errors }, { status: 400 } ) } return NextResponse.json( { success: false, error: 'Failed to process chat message' }, { status: 500 } ) } } async function generateBiblicalResponse(message: string, locale: string, history: any[]): Promise { try { // Temporarily bypass vector search to test Azure OpenAI console.log('Chat API - Starting biblical response generation for:', message.substring(0, 50)) let relevantVerses: any[] = [] try { // Search for relevant Bible verses using vector search with language filtering relevantVerses = await searchBibleHybrid(message, locale, 5) console.log('Chat API - Vector search successful, found', relevantVerses.length, 'verses') } catch (vectorError) { console.warn('Chat API - Vector search failed:', vectorError instanceof Error ? vectorError.message : String(vectorError)) // Continue without verses - test if Azure OpenAI works alone } // Create context from relevant verses const versesContext = relevantVerses .map(verse => `${verse.ref}: "${verse.text_raw}"`) .join('\n\n') // Intelligent context selection for conversation history const conversationHistory = buildSmartContext(history, message, locale) // Create language-specific system prompts const systemPrompts = { ro: `Ești un asistent AI pentru întrebări biblice în limba română. Răspunde pe baza Scripturii, fiind respectuos și înțelept. Instrucțiuni: - Folosește versurile biblice relevante pentru a răspunde la întrebare - Citează întotdeauna referințele biblice (ex: Ioan 3:16) - Răspunde în română - Fii empatic și încurajator - Dacă nu ești sigur, încurajează studiul personal și rugăciunea Versuri relevante pentru această întrebare: ${versesContext} Conversația anterioară: ${conversationHistory} Întrebarea curentă: ${message}`, en: `You are an AI assistant for biblical questions in English. Answer based on Scripture, being respectful and wise. Instructions: - Use the relevant Bible verses to answer the question - Always cite biblical references (e.g., John 3:16) - Respond in English - Be empathetic and encouraging - If unsure, encourage personal study and prayer Relevant verses for this question: ${versesContext} Previous conversation: ${conversationHistory} Current question: ${message}` } const systemPrompt = systemPrompts[locale as keyof typeof systemPrompts] || systemPrompts.en // Call Azure OpenAI console.log('Chat API - Calling Azure OpenAI with endpoint:', process.env.AZURE_OPENAI_ENDPOINT) console.log('Chat API - Using deployment:', process.env.AZURE_OPENAI_DEPLOYMENT) const response = await fetch( `${process.env.AZURE_OPENAI_ENDPOINT}/openai/deployments/${process.env.AZURE_OPENAI_DEPLOYMENT}/chat/completions?api-version=${process.env.AZURE_OPENAI_API_VERSION}`, { method: 'POST', headers: { 'api-key': process.env.AZURE_OPENAI_KEY!, 'Content-Type': 'application/json', }, body: JSON.stringify({ messages: [ { role: 'system', content: systemPrompt }, { role: 'user', content: message } ], max_tokens: 2000, temperature: 0.7, top_p: 0.9 }), } ) console.log('Chat API - Azure OpenAI response status:', response.status) if (!response.ok) { throw new Error(`Azure OpenAI API error: ${response.status}`) } const data = await response.json() // Handle content filtering or empty responses if (!data.choices || data.choices.length === 0) { throw new Error('No response choices returned from Azure OpenAI') } const choice = data.choices[0] // Check for content filtering if (choice.finish_reason === 'content_filter') { console.warn('Content was filtered by Azure OpenAI:', choice.content_filter_results) throw new Error('Content was filtered by Azure OpenAI content policy') } // Check if message content exists if (!choice.message || !choice.message.content) { throw new Error('Empty response content from Azure OpenAI') } return choice.message.content } catch (error) { console.error('Error calling Azure OpenAI:', error) // Language-specific fallback responses const fallbackResponses = { ro: `Îmi pare rău, dar întâmpin o problemă tehnică în acest moment. Te încurajez să cercetezi acest subiect în Scripturi și să te rogi pentru înțelegere. "Cercetați Scripturile, pentru că socotiți că în ele aveți viața veșnică, și tocmai ele mărturisesc despre Mine" (Ioan 5:39). "Dacă vreunul dintre voi duce lipsă de înțelepciune, să ceară de la Dumnezeu, care dă tuturor cu dărnicie și fără mustrare, și i se va da" (Iacov 1:5).`, en: `Sorry, I'm experiencing a technical issue at the moment. I encourage you to research this topic in Scripture and pray for understanding. "You study the Scriptures diligently because you think that in them you have eternal life. These are the very Scriptures that testify about me" (John 5:39). "If any of you lacks wisdom, you should ask God, who gives generously to all without finding fault, and it will be given to you" (James 1:5).` } return fallbackResponses[locale as keyof typeof fallbackResponses] || fallbackResponses.en } } function generateConversationTitle(message: string): string { // Generate a title from the first message (max 50 characters) const title = message.length > 47 ? message.substring(0, 47) + '...' : message return title } function buildSmartContext(history: any[], currentMessage: string, locale: string): string { if (history.length === 0) return '' const MAX_CONTEXT_TOKENS = 1500 // Reserve tokens for context const RECENT_MESSAGES_COUNT = 6 // Always include last 6 messages // Step 1: Always include the most recent messages for immediate context const recentMessages = history.slice(-RECENT_MESSAGES_COUNT) // Step 2: Calculate relevance scores for older messages const olderMessages = history.slice(0, -RECENT_MESSAGES_COUNT) const relevantOlderMessages = findRelevantMessages(olderMessages, currentMessage, locale) // Step 3: Combine recent + relevant older messages const selectedMessages = [...relevantOlderMessages, ...recentMessages] // Step 4: Apply token-based truncation if needed const optimizedContext = optimizeContextForTokens(selectedMessages, MAX_CONTEXT_TOKENS) // Step 5: Format for AI consumption return formatContextForAI(optimizedContext) } function findRelevantMessages(messages: any[], currentMessage: string, locale: string): any[] { if (messages.length === 0) return [] // Score messages based on relevance to current question const scoredMessages = messages.map(msg => ({ ...msg, relevanceScore: calculateMessageRelevance(msg, currentMessage, locale) })) // Sort by relevance and take top 3-5 most relevant older messages return scoredMessages .filter(msg => msg.relevanceScore > 0.3) // Only include somewhat relevant messages .sort((a, b) => b.relevanceScore - a.relevanceScore) .slice(0, 5) // Max 5 relevant older messages } function calculateMessageRelevance(message: any, currentMessage: string, locale: string): number { const msgContent = message.content.toLowerCase() const currentContent = currentMessage.toLowerCase() let score = 0 // Keyword overlap scoring const currentWords = currentContent.split(/\s+/).filter(word => word.length > 3) const messageWords = msgContent.split(/\s+/) for (const word of currentWords) { if (messageWords.some((mWord: string) => mWord.includes(word) || word.includes(mWord))) { score += 0.2 } } // Biblical reference detection (higher relevance) const biblicalPatterns = locale === 'ro' ? [/\b(geneza|exod|levitic|numeri|deuteronom|iosua|judecători|rut|samuel|regi|cronici|ezra|neemia|estera|iov|psalmi|proverbe|ecclesiast|cântarea|isaia|ieremia|plângeri|ezechiel|daniel|osea|ioel|amos|obadia|iona|mica|naum|habacuc|țefania|hagai|zaharia|maleahi|matei|marcu|luca|ioan|faptele|romani|corinteni|galateni|efeseni|filipeni|coloseni|tesaloniceni|timotei|tit|filimon|evrei|iacov|petru|ioan|iuda|apocalipsa)\s*\d+/gi] : [/\b(genesis|exodus|leviticus|numbers|deuteronomy|joshua|judges|ruth|samuel|kings|chronicles|ezra|nehemiah|esther|job|psalm|proverbs|ecclesiastes|song|isaiah|jeremiah|lamentations|ezekiel|daniel|hosea|joel|amos|obadiah|jonah|micah|nahum|habakkuk|zephaniah|haggai|zechariah|malachi|matthew|mark|luke|john|acts|romans|corinthians|galatians|ephesians|philippians|colossians|thessalonians|timothy|titus|philemon|hebrews|james|peter|jude|revelation)\s*\d+/gi] if (biblicalPatterns.some(pattern => pattern.test(msgContent))) { score += 0.4 } // Recent user questions get higher relevance if (message.role === 'user') { score += 0.1 } // Time decay (older messages get slightly lower scores) const messageAge = Date.now() - new Date(message.timestamp).getTime() const hoursAge = messageAge / (1000 * 60 * 60) const timeDecay = Math.max(0.5, 1 - (hoursAge / 168)) // Decay over a week return Math.min(1.0, score * timeDecay) } function optimizeContextForTokens(messages: any[], maxTokens: number): any[] { // Rough token estimation (1 token ≈ 4 characters in English, 3 in Romanian) let currentTokens = 0 const optimizedMessages = [] // Start from most recent and work backwards for (let i = messages.length - 1; i >= 0; i--) { const message = messages[i] const estimatedTokens = Math.ceil(message.content.length / 3.5) if (currentTokens + estimatedTokens <= maxTokens) { optimizedMessages.unshift(message) // Add to beginning to maintain order currentTokens += estimatedTokens } else { // If this message would exceed limit, try to include a summary instead if (i > 0 && optimizedMessages.length < 3) { const summary = summarizeMessage(message) const summaryTokens = Math.ceil(summary.length / 3.5) if (currentTokens + summaryTokens <= maxTokens) { optimizedMessages.unshift({ ...message, content: summary, isSummary: true }) currentTokens += summaryTokens } } break } } return optimizedMessages } function summarizeMessage(message: any): string { const content = message.content if (content.length <= 100) return content // Extract key points and questions const sentences = content.split(/[.!?]+/).filter((s: string) => s.trim().length > 10) if (sentences.length <= 2) return content // Keep first and last sentence, or most important parts const summary = sentences.length > 3 ? `${sentences[0].trim()}... ${sentences[sentences.length - 1].trim()}` : sentences.slice(0, 2).join('. ').trim() return `[Summary] ${summary}` } function formatContextForAI(messages: any[]): string { if (messages.length === 0) return '' return messages.map(msg => { const prefix = msg.isSummary ? '[Summary] ' : '' return `${prefix}${msg.role}: ${msg.content}` }).join('\n') }