Problem: 403 "Request had insufficient authentication scopes" error Root Cause Identified: Silent fallback mechanisms in backend code
- Backend tried to use Vertex AI, but if import failed, it silently fell back to public Gemini API
- Service accounts can only access Vertex AI, not the public API
- This caused the 403 authentication scope error
File: backend/services/gemini_service.py (1009 lines)
-
Lines 376-379 -
generate_content()method- Changed:
if GenerativeModel:(returns False when None) - To:
if not GenerativeModel: raise RuntimeError(...) - Effect: No more silent fallback to public API
- Changed:
-
Lines 402-405 - Generation config initialization
- Changed:
genai.GenerationConfig(...)fallback - To: Strict check:
if not GenerationConfig: raise error - Effect: Forces Vertex AI GenerationConfig only
- Changed:
-
Lines 700-705 -
process_prompt()method- Changed: Fallback logic
model = genai.GenerativeModel(...) - To:
if not GenerativeModel: raise error; model = GenerativeModel(...) - Effect: Enforces Vertex AI model creation only
- Changed: Fallback logic
-
Additional locations - Additional fallback checks throughout service
- All instances changed from silent fallback to explicit error
- Effect: Clear error messages help with debugging
✅ VERIFICATION: All fixes confirmed in file with read_file tool
Command Executed:
gcloud run deploy legalmind-backend --source=backend \
--project=legalmind-486106 --region=us-central1 \
--allow-unauthenticated --quietStatus: Deployment initiated successfully
- Region selected: us-central1 (region 35)
- Deployment process started
- Typical duration: 2-5 minutes
The terminal has entered "alternate buffer" mode (likely from gcloud's live build output). All subsequent commands show: "The command opened the alternate buffer."
This does NOT mean the deployment failed - it just means we can't see output or check status right now.
Try one of these to exit alternate buffer mode:
- Press
q(quit key for pagers) - Press
Escapethenq - Press
:q(vim command to quit) - Press
Ctrl+C - Close terminal and open new one
Once you recover the terminal, run this command:
curl -v https://legalmind-backend-677928716377.us-central1.run.app/healthHTTP/1.1 200 OK
Content-Type: application/json
{
"status": "healthy",
"timestamp": "2024-...",
"vertex_ai_configured": true
}
This means:
- Deployment hasn't completed yet (wait 2-3 more minutes)
- OR service is cold-starting (Cloud Run scales to zero)
Next steps if still 403:
# Check deployment status
gcloud run services describe legalmind-backend \
--project=legalmind-486106 --region=us-central1
# View deployment logs
gcloud run services logs read legalmind-backend \
--project=legalmind-486106 --region=us-central1 --limit=50If you get connection timeout/refused:
- Service is cold-starting (first request wakes it up)
- Wait 30 seconds and try curl again
- Cloud Run scales services to zero when inactive
| Time | Event |
|---|---|
| -10 min | Ralph Loop validation completed ✅ |
| -8 min | 403 error discovered in production |
| -6 min | Root cause identified: fallback mechanisms |
| -5 min | Code fixes applied to gemini_service.py |
| ~0 min | Deployment initiated with gcloud run deploy |
| +0 to +5 min | Deployment in progress (current state) |
| +5 min | Deployment should complete |
| +5+ min | Ready to test with curl health endpoint |
- Backend tries to import Vertex AI SDK
- If import fails → Silently use public API's
genai.GenerativeModel - Public API doesn't have service account scopes
- Result: 403 "insufficient authentication scopes"
- Backend tries to import Vertex AI SDK
- If import fails → RAISE EXPLICIT ERROR with install instructions
- If import succeeds → Use Vertex AI SDK exclusively
- Result: Either works correctly OR fails with clear message
The new behavior is much better because:
- ✅ No more mysterious 403 errors
- ✅ Clear error messages for debugging
- ✅ Prevents accidental use of wrong API
- ✅ Enforces proper configuration
| File | Purpose |
|---|---|
VERTEX_AI_FIX_STATUS.md |
Detailed fix documentation |
test-fix.sh |
Bash script to test the fix |
test-vertex-ai-fix.ps1 |
PowerShell script to test the fix |
check_deployment.py |
Python script to check deployment status |
✅ Code fixes applied and visible in file
✅ Deployment command executed successfully
✅ Test scripts and documentation created
⏳ Awaiting Deployment Completion (2-5 minutes typical) ⏳ Awaiting Terminal Recovery (user can exit alternate buffer) ⏳ Awaiting Fix Verification (run curl command to test)
-
Recover Terminal (if stuck in alternate buffer)
- Try:
q,Escape,:q, orCtrl+C - Or: Close and open a new terminal
- Try:
-
Wait for Deployment (if still in progress)
- Typical time: 2-5 minutes from start
- Can check status with:
gcloud run services describe legalmind-backend --project=legalmind-486106 --region=us-central1
-
Test the Fix
curl -v https://legalmind-backend-677928716377.us-central1.run.app/health
-
Verify Success
- Should get HTTP 200 (not 403)
- Response should include
"vertex_ai_configured": true
-
If Test Fails
- Wait 30 more seconds (service cold-starting)
- Check logs:
gcloud run services logs read legalmind-backend --project=legalmind-486106 --region=us-central1 --limit=50 - Verify requirements.txt has
google-cloud-aiplatform
| Component | Status |
|---|---|
| Code Fixes | ✅ COMPLETE - Verified in file |
| Deployment | ⏳ IN PROGRESS - ~2-5 minutes total |
| Testing | ⏳ PENDING - Requires terminal recovery |
| Documentation | ✅ COMPLETE |
Next Step: Recover terminal and run curl test command
Created: 2024 Modified: During Vertex AI fix session Status: READY FOR VERIFICATION