Upload llm_engine.py

app/services/llm_engine.py

@@ -183,14 +183,14 @@ class LLMEngine:
         try:
             # Perhatikan: Kita panggil _execute_with_retry, bukan self.client.create
             response_content = await self._execute_with_retry(
-                messages=messages,
-                model="llama-3.1-8b-instant", # Model ringan untuk chat
-                temperature=0.6 
+                messages=[{"role": "user", "content": prompt}],
+                model="llama-3.3-70b-versatile",
+                response_format={"type": "json_object"}
             )
-            return response_content
-            
+            return json.loads(response_content)
         except Exception as e:
-            return f"Maaf, error sistem: {str(e)}"
+            print(f"ERROR Evaluate answer: {e}")
+            return {"score": 0, "feedback": "Error menilai.", "is_correct": False}
 
     async def casual_chat(self, user_text: str, history: list = [], is_role_empty: bool = False):
         
@@ -275,7 +275,7 @@ class LLMEngine:
                 model="llama-3.1-8b-instant",
                 temperature=0.7
             )
-        except:
+        except Exception as e:
             print(f"ERROR Psych Analyze: {e}")
             return f"Kamu cocok jadi {role}!"