feat: complete production hardening implementation, specialty canonicalization, google-genai migration, voice reliability, sqlite concurrency, and test suite consolidation

ai-patient-onboarding/app/ai/conversation/intent_tracker.py

@@ -0,0 +1,26 @@
+"""
+Question intent tracker for semantic question deduplication.
+"""
+
+from typing import Optional, List, Dict, Any
+
+from app.services.contextual_normalizer import detect_previous_question_intent
+
+
+def get_last_ai_intent(conversation_history: List[Dict[str, Any]]) -> Optional[str]:
+    """
+    Returns the intent code of the last AI message in conversation history.
+    """
+    if not conversation_history:
+        return None
+
+    last_ai_msg = None
+    for turn in reversed(conversation_history):
+        if turn.get("role") in ["assistant", "ai"]:
+            last_ai_msg = turn.get("message") or turn.get("content")
+            break
+
+    if last_ai_msg:
+        return detect_previous_question_intent(last_ai_msg)
+
+    return None