Backend:
- @active_required + @with_user_context applied to all LLM-invoking routes
in personas.py, focus_group_ai.py, ai_personas.py
- backend/app/routes/usage.py: GET /api/usage/me (MTD summary by feature),
GET /api/usage/focus-groups/<id> (owner or admin)
- Registered usage_bp in app/__init__.py
- llm_service._record_usage now emits usage_update WS event to focus group room
Frontend:
- useMyUsage + useFocusGroupUsage hooks
- MyUsage.tsx: personal billing dashboard (cost cards + per-feature table)
- /billing route (ProtectedRoute) + Billing nav link
- FocusGroupSession: quota_warning amber banner with Progress bar,
quota_exceeded + quota_warning WS events wired via websocketServiceNew
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Removes all debug/verbose console.log calls across frontend to prevent
sensitive data exposure (session IDs, tokens) and reduce console noise.
Keeps only console.error and console.warn for genuine errors.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Backend: /generate-personas-full now returns task_id immediately (202)
and runs generation as a background asyncio task, delivering results
via WebSocket task_completed event (bypasses GCP LB 30s timeout)
- Frontend: AIRecruiter listens for ws:task_completed to process personas
instead of awaiting the long HTTP response
- Remove 53 debug console.log calls from websocketServiceNew.ts including
session_id exposure and a self-test emit that was firing fake events
- Remove debug logs from WebSocketContextNew, AIRecruiter, personaGenerator
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
