fix: retrait de la dépendance au logger manquant et priorisation de Gemini Direct

backend/ai.py

@@ -1,12 +1,10 @@
 from openai import OpenAI
 from fastapi import HTTPException
 from .models import SystemSettings
-from .logger import system_logger
 
 def get_ai_response(messages: list, settings: SystemSettings) -> str:
     """Route la conversation vers le premier fournisseur IA disponible, priorité à Gemini Direct."""
     if not settings:
-        system_logger.error("Configuration système introuvable lors de l'appel IA.")
         raise HTTPException(status_code=500, detail="Configuration système introuvable.")
 
     formatted_messages = [{"role": msg.role, "content": msg.content} for msg in messages]
@@ -20,14 +18,12 @@ def get_ai_response(messages: list, settings: SystemSettings) -> str:
             )
             # Utilisation de l'identifiant standard API pour la version Flash
             model = "gemini-1.5-flash" 
-            system_logger.info(f"Appel IA via Google Gemini direct (Modèle: {model})")
             response = client.chat.completions.create(model=model, messages=formatted_messages)
 
         # 2. Test OpenRouter (Fallback)
         elif settings.openrouter_api_key:
             client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=settings.openrouter_api_key)
             model = "google/gemini-1.5-pro" # Identifiant mis à jour et valide
-            system_logger.info(f"Appel IA via OpenRouter (Modèle: {model})")
             response = client.chat.completions.create(
                 model=model,
                 messages=formatted_messages,
@@ -38,14 +34,12 @@ def get_ai_response(messages: list, settings: SystemSettings) -> str:
         elif settings.deepseek_api_key:
             client = OpenAI(base_url="https://api.deepseek.com/v1", api_key=settings.deepseek_api_key)
             model = "deepseek-chat"
-            system_logger.info(f"Appel IA via DeepSeek (Modèle: {model})")
             response = client.chat.completions.create(model=model, messages=formatted_messages)
             
         # 4. Test Groq
         elif settings.groq_api_key:
             client = OpenAI(base_url="https://api.groq.com/openai/v1", api_key=settings.groq_api_key)
             model = "llama3-8b-8192"
-            system_logger.info(f"Appel IA via Groq (Modèle: {model})")
             response = client.chat.completions.create(model=model, messages=formatted_messages)
             
         else:
@@ -54,5 +48,5 @@ def get_ai_response(messages: list, settings: SystemSettings) -> str:
         return response.choices[0].message.content
 
     except Exception as e:
-        system_logger.error(f"Erreur API IA : {str(e)}")
+        print(f"Erreur API IA : {str(e)}")
         raise HTTPException(status_code=502, detail=f"Détail du fournisseur : {str(e)}")