Completata gestione selezione modello LLM da backend

backend/api/v1/chat.py

@@ -13,6 +13,7 @@ from config import settings
 
 router = APIRouter()
 
+
 @router.get("/models", response_model=List[str])
 async def list_models():
     try:
@@ -37,7 +38,10 @@ async def chat_endpoint(payload: ChatRequest):
         redis_service.save_chat(payload.user_id, session_id, {"role": "user", "content": payload.message})
         history_to_send = await prepare_history(payload.user_id, session_id)
 
-        model_to_use = payload.model_name or settings.MODEL_NAME
+        #model_to_use = payload.model_name or settings.MODEL_NAME
+        # Recupera modello dalla sessione
+        session_meta = redis_service.get_session_meta(payload.user_id, session_id)
+        model_to_use = payload.model_name or session_meta.get("model_name") or settings.MODEL_NAME
 
         async with httpx.AsyncClient(timeout=settings.REQUEST_TIMEOUT) as client:
             resp = await client.post(
@@ -66,7 +70,10 @@ async def chat_stream_endpoint(payload: ChatRequest):
 
     redis_service.save_chat(payload.user_id, session_id, {"role": "user", "content": payload.message})
     history_to_send = await prepare_history(payload.user_id, session_id)
-    model_to_use = payload.model_name or settings.MODEL_NAME
+    #model_to_use = payload.model_name or settings.MODEL_NAME
+    # Recupera modello dalla sessione
+    session_meta = redis_service.get_session_meta(payload.user_id, session_id)
+    model_to_use = payload.model_name or session_meta.get("model_name") or settings.MODEL_NAME
 
     async def event_generator():
         assistant_text = ""