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Fix production AI errors with timeout and enhanced error handling
CRITICAL PRODUCTION FIXES: - Add 25-second timeout protection for serverless functions - Enhanced error handling for API keys, timeouts, rate limits - Better production error messages for users - Added Promise.race() to prevent hanging requests NEW DEBUG ENDPOINT: - /api/debug-ai for production diagnostics - Environment variable verification - Direct API connectivity testing - Real-time system health monitoring ENHANCED ERROR HANDLING: - Specific messages for API key issues - Timeout error detection and reporting - Rate limiting error handling - Network connectivity error messages - All models failed scenario handling FILES MODIFIED: - src/app/actions.ts - Timeout protection and error handling - src/app/api/debug-ai/route.ts - New diagnostic endpoint - PRODUCTION_AI_FIXES.md - Comprehensive fix documentation PRODUCTION READINESS: - Prevents serverless function timeouts - Clear error messages for troubleshooting - Real-time diagnostic capabilities - Enhanced user experience during failures
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PRODUCTION_AI_FIXES.md

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# Production AI Error Fixes 🔧
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## Issues Identified & Fixed
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### 1. Serverless Function Timeout
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**Problem**: AI requests might timeout in Netlify's 30-second serverless function limit
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**Solution**: Added 25-second timeout with Promise.race() to prevent hanging requests
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```typescript
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const timeoutPromise = new Promise<never>((_, reject) => {
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setTimeout(() => reject(new Error('AI request timeout after 25 seconds')), 25000);
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});
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const result = await Promise.race([aiPromise, timeoutPromise]);
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```
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### 2. Enhanced Error Handling
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**Problem**: Generic error messages don't help users understand production issues
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**Solution**: Added specific error handling for common production scenarios:
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- API key issues
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- Timeout errors
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- Rate limiting
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- Network connectivity
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- All models failing
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### 3. Debug Endpoint Added
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**Problem**: Hard to diagnose AI issues in production
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**Solution**: Created `/api/debug-ai` endpoint to check:
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- Environment variables status
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- Direct API connectivity
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- System information
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- Real-time AI service health
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## Files Modified
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### `src/app/actions.ts`
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- ✅ Added timeout protection (25 seconds)
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- ✅ Enhanced error handling with specific messages
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- ✅ Better production error reporting
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### `src/app/api/debug-ai/route.ts` (NEW)
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- ✅ Production diagnostic endpoint
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- ✅ Environment variable checker
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- ✅ Direct API connectivity test
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- ✅ System health monitoring
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## Common Production Issues & Solutions
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### Environment Variables
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**Issue**: Environment variables not set in Netlify
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**Check**: Visit `/api/debug-ai` to verify all variables are set
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**Fix**: Add all required variables in Netlify dashboard:
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- `GROQ_API_KEY`
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- `HUGGINGFACE_API_KEY`
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- `GOOGLE_API_KEY`
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- `NEXT_PUBLIC_FIREBASE_API_KEY`
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### API Key Issues
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**Issue**: Invalid or expired API keys
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**Check**: Debug endpoint tests direct API connectivity
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**Fix**: Regenerate API keys from provider dashboards
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### Rate Limiting
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**Issue**: Too many requests to AI providers
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**Check**: Error messages will indicate rate limiting
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**Fix**: Implement request queuing or use multiple keys
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### Network Timeouts
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**Issue**: Slow network in serverless environment
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**Check**: Timeout errors in logs
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**Fix**: Already implemented 25-second timeout
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## Testing Production AI
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### 1. Health Check
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```bash
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curl https://your-app.netlify.app/api/debug-ai
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```
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### 2. Direct Chat Test
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Use the chat interface with a simple message like "Hello"
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### 3. Monitor Netlify Function Logs
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Check for specific error messages in Netlify dashboard
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## Deployment Instructions
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1. **Push these fixes to GitHub**
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2. **Deploy to Netlify**
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3. **Set environment variables in Netlify dashboard**
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4. **Test with `/api/debug-ai` endpoint**
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5. **Monitor function logs for any remaining issues**
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## Expected Results
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After these fixes:
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- ✅ Better timeout handling prevents hanging requests
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- ✅ Clear error messages help identify specific issues
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- ✅ Debug endpoint provides real-time diagnostics
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- ✅ Enhanced error recovery and user feedback
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- ✅ Production-ready AI system with proper monitoring
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The AI system should now work reliably in production with proper error handling and diagnostics! 🚀

src/app/actions.ts

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@@ -15,12 +15,36 @@ import type {
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function handleGenkitError(error: unknown): {error: string} {
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const message = error instanceof Error ? error.message : String(error);
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console.error('Genkit flow failed:', error);
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console.error('AI processing failed:', error);
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// Check for the specific API key error and provide a helpful message.
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// Check for specific error types and provide helpful messages
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if (message.includes('API key') || message.includes('API_KEY')) {
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return {
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error: `AI processing failed. Your Groq API key is missing. Please create a free key at https://console.groq.com/keys and add it to the GROQ_API_KEY variable in your .env file.`,
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error: `AI processing failed. API key is missing or invalid. Please check your environment variables.`,
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};
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}
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if (message.includes('timeout') || message.includes('TIMEOUT')) {
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return {
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error: `AI processing timed out. The request took too long to complete. Please try again.`,
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};
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}
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if (message.includes('rate limit') || message.includes('quota')) {
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return {
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error: `AI service is temporarily busy due to high demand. Please try again in a moment.`,
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};
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}
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if (message.includes('All models failed')) {
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return {
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error: `All AI models are currently unavailable. This may be due to high demand or maintenance. Please try again later.`,
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};
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}
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if (message.includes('Network') || message.includes('fetch')) {
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return {
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error: `Network error occurred while connecting to AI services. Please check your connection and try again.`,
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};
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}
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// This avoids the localhost URL issue and is more efficient
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const { generateWithSmartFallback } = await import('@/ai/smart-fallback');
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// Add timeout for production serverless functions
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const timeoutPromise = new Promise<never>((_, reject) => {
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setTimeout(() => reject(new Error('AI request timeout after 25 seconds')), 25000);
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});
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// Build system prompt based on settings
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const getToneInstructions = (tone: string) => {
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switch (tone) {
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preferredModelId = input.settings.model;
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}
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// Use smart fallback system directly
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const result = await generateWithSmartFallback({
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// Use smart fallback system directly with timeout
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const aiPromise = generateWithSmartFallback({
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prompt: input.message,
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systemPrompt,
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history: convertedHistory,
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},
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});
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const result = await Promise.race([aiPromise, timeoutPromise]);
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return {
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content: result.response.text,
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modelUsed: result.modelUsed,

src/app/api/debug-ai/route.ts

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import { NextResponse } from 'next/server';
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/**
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* AI Debug endpoint for production diagnostics
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* Tests environment variables and API connectivity
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*/
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export async function GET() {
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try {
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// Check environment variables
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const envCheck = {
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groq: !!process.env.GROQ_API_KEY,
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huggingface: !!process.env.HUGGINGFACE_API_KEY,
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google: !!process.env.GOOGLE_API_KEY,
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firebase: !!process.env.NEXT_PUBLIC_FIREBASE_API_KEY,
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};
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// Test basic Groq API connectivity
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let groqTest: { working: boolean; error: string | null } = { working: false, error: null };
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if (process.env.GROQ_API_KEY) {
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try {
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const controller = new AbortController();
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const timeoutId = setTimeout(() => controller.abort(), 10000);
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const response = await fetch('https://api.groq.com/openai/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Authorization': `Bearer ${process.env.GROQ_API_KEY}`,
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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model: 'llama-3.1-8b-instant',
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messages: [{ role: 'user', content: 'Test' }],
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max_tokens: 10,
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temperature: 0.1
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}),
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signal: controller.signal
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});
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clearTimeout(timeoutId);
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if (response.ok) {
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groqTest.working = true;
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} else {
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const errorText = await response.text();
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groqTest.error = `HTTP ${response.status}: ${errorText}`;
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}
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} catch (error) {
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groqTest.error = error instanceof Error ? error.message : 'Unknown error';
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}
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}
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return NextResponse.json({
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status: 'debug-ready',
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timestamp: new Date().toISOString(),
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environment: process.env.NODE_ENV,
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platform: process.platform,
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nodeVersion: process.version,
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envVariables: envCheck,
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groqApiTest: groqTest,
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message: 'AI Debug endpoint working - all systems checked'
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});
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} catch (error) {
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console.error('Debug AI endpoint error:', error);
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return NextResponse.json(
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{
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status: 'error',
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error: error instanceof Error ? error.message : 'Unknown error',
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timestamp: new Date().toISOString()
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},
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{ status: 500 }
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);
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}
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}

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