main.py

@@ -92,53 +92,37 @@ def get_system_prompt():
 
 async def get_ai_response(user_input, system_prompt):
     global chat_history
-    
-    # 1. Die neue User-Nachricht dem Gedächtnis hinzufügen
     chat_history.append({"role": "user", "content": user_input})
-    
-    # 2. Gedächtnis auf die letzten 30 Nachrichten begrenzen
     chat_history = chat_history[-30:]
-    
     ai_msg = ""
     
     try:
-        if AI_PROVIDER == "openai" or AI_PROVIDER == "ollama":
+        # Kombinierte Logik für OpenAI, Ollama und NVIDIA (alle nutzen das OpenAI SDK)
+        if AI_PROVIDER in ["openai", "ollama", "nvidia"]:
             messages = [{"role": "system", "content": system_prompt}] + chat_history
             
-            # Sicherstellen, dass die URL für Ollama korrekt endet
             if AI_PROVIDER == "ollama":
                 url = OLLAMA_BASE_URL
                 if not url.endswith('/v1') and not url.endswith('/v1/'):
                     url = url.rstrip('/') + '/v1'
                 key = "ollama"
                 model_to_use = OLLAMA_MODEL
-            else:
-                url = None # Benutzt Standard OpenAI URL
+            elif AI_PROVIDER == "nvidia":
+                url = "https://integrate.api.nvidia.com/v1"
+                key = NVIDIA_API_KEY
+                model_to_use = NVIDIA_MODEL
+            else: # openai
+                url = None 
                 key = OPENAI_API_KEY
                 model_to_use = OPENAI_MODEL
 
-            client = openai.OpenAI(base_url=url, api_key=key)
-            response = client.chat.completions.create(
+            # WICHTIG: Hier .AsyncOpenAI nutzen, da die Funktion async ist
+            client = openai.AsyncOpenAI(base_url=url, api_key=key)
+            response = await client.chat.completions.create(
                 model=model_to_use,
                 messages=messages
             )
             ai_msg = response.choices[0].message.content
-        
-        elif AI_PROVIDER == "nvidia":
-            if not NVIDIA_API_KEY:
-                return "Fehler: NVIDIA_API_KEY fehlt!"
-            
-            # NVIDIA nutzt ebenfalls das OpenAI Interface
-            client = openai.OpenAI(
-                base_url="https://integrate.api.nvidia.com/v1",
-                api_key=NVIDIA_API_KEY
-            )
-            messages = [{"role": "system", "content": system_prompt}] + chat_history
-            response = client.chat.completions.create(
-                model=NVIDIA_MODEL,
-                messages=messages
-            )
-            ai_msg = response.choices[0].message.content
             
         elif AI_PROVIDER == "google":
             # Für Google Gemini
@@ -382,7 +366,7 @@ async def get_settings():
         "provider": AI_PROVIDER,
         "google_model": GOOGLE_MODEL,
         "openai_model": OPENAI_MODEL,
-        "mvidia_model": NVIDIA_MODEL,
+        "nvidia_model": NVIDIA_MODEL,
         "ollama_model": OLLAMA_MODEL,
         "ollama_base_url": OLLAMA_BASE_URL # URL ans Frontend schicken
     }