Fix: revert system prompt, add full OpenAI-compatible response format

app.py

@@ -82,23 +82,8 @@ def chat_completions():
         if not prompt:
             return jsonify({"error": "No prompt provided"}), 400
         
-        # Sales context guard - sistem prompt'u ekle
-        system_prompt = """You are a professional sales assistant for Wisemate. You ONLY answer questions related to:
-- Sales techniques and strategies
-- Handling objections (price, timing, competition)
-- Closing deals
-- Lead qualification
-- Customer relationship management
-- Sales processes and frameworks
-- Wisemate's services and capabilities
-
-If asked about unrelated topics (science, math, general knowledge, etc.), politely redirect:
-"I'm here to help with sales and business-related questions about Wisemate. How can I assist you with your sales inquiries?"
-
-Now respond to this sales-related question:"""
-        
-        # Gemma formatında prompt - sistem prompt'u dahil et
-        formatted_prompt = f"<start_of_turn>user\n{system_prompt}\n{prompt}<end_of_turn>\n<start_of_turn>model\n"
+        # Gemma formatında prompt
+        formatted_prompt = f"<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n"
 
         # Model yanıtı üret
         inputs = tokenizer(formatted_prompt, return_tensors="pt")
@@ -125,14 +110,25 @@ Now respond to this sales-related question:"""
         response_text = full_response.split("<start_of_turn>model\n")[-1]
         response_text = response_text.replace("<end_of_turn>", "").strip()
         
-        # Vapi formatı
+        # OpenAI-compatible response format (Vapi için tam uyumlu)
         vapi_response = {
+            "id": "chatcmpl-" + str(hash(prompt))[-10:],
+            "object": "chat.completion",
+            "created": int(__import__('time').time()),
+            "model": MODEL_NAME,
             "choices": [{
+                "index": 0,
                 "message": {
                     "role": "assistant",
                     "content": response_text
-                }
-            }]
+                },
+                "finish_reason": "stop"
+            }],
+            "usage": {
+                "prompt_tokens": len(inputs["input_ids"][0]),
+                "completion_tokens": len(outputs[0]) - len(inputs["input_ids"][0]),
+                "total_tokens": len(outputs[0])
+            }
         }
         
         return jsonify(vapi_response), 200