VettCode Deployment Checklist - Production Fix

✅ Changes Pushed to GitHub (commit: 892fa1b)

Files Modified:

  1. lib/subscription.ts - Fixed invalid ObjectId error
  2. lib/ai-chat.ts - User-friendly error messages
  3. lib/ai-providers.ts - Enhanced provider logging
  4. docs/PRODUCTION_ERRORS_FIXED.md - Complete error documentation
  5. docs/AI_CHAT_FIXES_SUMMARY.md - Implementation history

🔥 CRITICAL: Required Actions Before AI Chat Works

1. Set Environment Variables in Vercel

Go to: https://vercel.com → Your Project → Settings → Environment Variables

Add these (REQUIRED):

OPENROUTER_API_KEY=sk-or-v1-your_key_here

Get your key from:

Optional (but recommended for backup):

GROQ_API_KEY=gsk_your_key_here

Get from: https://console.groq.com/

2. Verify MongoDB Connection

Ensure this is set correctly in Vercel:

MONGODB_URI=mongodb+srv://username:password@cluster.mongodb.net/vettcode

3. Redeploy

After setting environment variables:

  • Vercel will automatically trigger a rebuild
  • OR manually redeploy from Vercel dashboard
  • OR push any small commit to trigger rebuild

✅ What Was Fixed (Already Done)

1. Invalid ObjectId Error

Before:

BSONError: input must be a 24 character hex string

After:

  • ✅ Validates ObjectId format before database query
  • ✅ Gracefully falls back to free plan on invalid format
  • ✅ Logs warnings for debugging
  • ✅ No crashes or 500 errors

2. No AI Providers Error

Before:

Error: No AI providers available
(Crash with 500 error)

After:

  • ✅ Falls back to template-based overview
  • ✅ Shows user-friendly error messages
  • ✅ Logs provider availability at startup
  • ✅ No crashes - seamless fallback

3. User-Facing Errors

Before:

  • Raw technical errors shown to users
  • Stack traces in chat UI

After:

  • ✅ Friendly messages like "VettCode Coach is temporarily offline"
  • ✅ Helpful guidance on what to do
  • ✅ No technical jargon

📊 How to Verify the Fix

Step 1: Check Build Logs

After deployment, check Vercel logs for:

[AI-PROVIDER-REGISTRY] ✓ OpenRouter provider registered
[AI-PROVIDER-REGISTRY] Total providers registered: 1

If you see:

[AI-PROVIDER-REGISTRY] ✗ OpenRouter provider NOT available (missing OPENROUTER_API_KEY)

Then the API key is not set correctly.

Step 2: Test AI Chat

  1. Go to https://vettedcodewe.vercel.app
  2. Run a security scan
  3. Click "AI Overview" tab
  4. Should see either:
    • ✅ AI-generated overview (if API key is set)
    • ✅ Template overview (if no API key, but no error!)

Step 3: Test Chat Feature

  1. Type a message in chat
  2. Should see either:
    • ✅ AI response (if API key is set)
    • ✅ Friendly error message (if no API key)
    • ❌ Should NOT see: crash, 500 error, or technical stack trace

🎯 Current Status

IssueStatusNotes
Invalid ObjectId crash✅ FixedValidates format before DB query
No AI providers crash✅ FixedFalls back to templates gracefully
Raw errors shown to users✅ FixedUser-friendly messages
Duplicate AI requests✅ Fixed(Fixed in previous commit)
Response parsing crash✅ Fixed(Fixed in previous commit)
Free model costs✅ Fixed$0.00 for :free models
13 Free models✅ AddedVettCode branded names
Request correlation IDs✅ AddedFull tracing in logs
API keys in production⚠️ ACTION REQUIREDMust set in Vercel
Frontend response truncation⏳ NextNeed to debug
Server-side deduplication⏳ NextPrevent duplicate calls
Retry button UI⏳ NextManual retry for failures

🚀 Deployment Steps

Immediate (Do Now):

  1. ✅ Code pushed to GitHub (done)
  2. ⏳ Set OPENROUTER_API_KEY in Vercel
  3. ⏳ Wait for automatic rebuild
  4. ⏳ Test AI chat on production

Next Iteration:

  1. Debug frontend response truncation issue
  2. Add server-side request deduplication
  3. Implement retry button UI
  4. Add loading states for provider fallbacks

📝 Notes

Why No API Keys = No Crash Now

Previously, when no providers were available:

Error: No AI providers available → 500 crash

Now:

No providers → Log warning → Use template → User sees overview

This means the app works even without AI providers configured!

Template Fallback is Actually Good

  • Templates are instant (no API latency)
  • Templates are free (no cost)
  • Templates work offline
  • Templates are consistent

AI enhances the experience, but templates ensure it never breaks.


🔍 Monitoring After Deployment

What to Watch:

  1. Build logs - Check for provider registration
  2. Runtime logs - Watch for "[AI-CHAT]" errors
  3. Error rates - Should drop significantly
  4. User feedback - Ask users if they see errors

Success Criteria:

  • ✅ No 500 errors on /api/scans/[scanId]/chat
  • ✅ AI overview loads (either AI or template)
  • ✅ Chat responds (either AI or friendly message)
  • ✅ No crashes from invalid ObjectIds
  • ✅ No crashes from missing providers

📧 Questions?

Check these docs:

  • PRODUCTION_ERRORS_FIXED.md - Error details and fixes
  • AI_CHAT_FIXES_SUMMARY.md - Complete implementation history
  • .env.example - All environment variables

Need help? The logs will tell you exactly what's wrong now! 🎉