remove challenge's content

prompt/consumers.py

@@ -53,12 +53,11 @@ class PromptConsumer(AsyncWebsocketConsumer):
         try:
             # Build history for LLM
             history = await self.get_history_for_llm()
-            task_content = await self.get_task_content()
 
             # Stream AI response
             full_response = ""
             try:
-                async for chunk in stream_chat(task_content, history):
+                async for chunk in stream_chat(history):
                     full_response += chunk
                     await self.send(text_data=json.dumps({
                         "type": "stream",
@@ -139,9 +138,3 @@ class PromptConsumer(AsyncWebsocketConsumer):
     def get_history_for_llm(self):
         messages = self.conversation.messages.all()
         return [{"role": m.role, "content": m.content} for m in messages]
-
-    @database_sync_to_async
-    def get_task_content(self):
-        from task.models import Task
-        task = Task.objects.get(id=self.task_id)
-        return task.content

prompt/llm.py

@@ -14,17 +14,16 @@ SYSTEM_PROMPT = """你是一个网页生成助手。根据用户的需求描述
 6. 由于任何外部链接都被屏蔽，使用纯 HTML、CSS 和 JS 实现功能，不要依赖外部库"""
 
 
-def build_messages(task_content: str, history: list[dict]) -> list[dict]:
+def build_messages(history: list[dict]) -> list[dict]:
     """Build the message list for the LLM API call."""
-    system = SYSTEM_PROMPT + f"\n\n当前挑战任务要求：\n{task_content}"
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
-    messages = [{"role": "system", "content": system}]
     messages.extend(history)
     return messages
 
 
-async def stream_chat(task_content: str, history: list[dict]):
+async def stream_chat(history: list[dict]):
     """Stream chat completion from the LLM. Yields content chunks."""
-    messages = build_messages(task_content, history)
+    messages = build_messages(history)
     async with AsyncOpenAI(
         api_key=settings.LLM_API_KEY,
         base_url=settings.LLM_BASE_URL,