Update llm_model.py

llm_model.py

@@ -1,6 +1,6 @@
 import torch
 import traceback
-from transformers import AutoTokenizer, AutoModelForCausalLM, AutoModelForSequenceClassification
+from transformers import AutoTokenizer, AutoModelForCausalLM
 from log import log
 from pydantic import BaseModel
 import os
@@ -43,8 +43,9 @@ class LLMModel:
             log(f"❌ LLMModel setup() hatası: {e}")
             traceback.print_exc()
 
-    async def generate_response_with_messages(self, messages, project_config):
-        encodeds = self.tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True)
+    async def generate_response_with_messages(self, messages, project_config, system_prompt):
+        all_messages = [{"role": "system", "content": system_prompt}] + messages
+        encodeds = self.tokenizer.apply_chat_template(all_messages, return_tensors="pt", add_generation_prompt=True)
         input_ids = encodeds.to(self.model.device)
         attention_mask = (input_ids != self.tokenizer.pad_token_id).long()