弃用langgrpah更换deepagent

src/server/agent/state.py

@@ -1,5 +1,5 @@
 import operator
-from typing import Annotated, Sequence, TypedDict, Union, Optional
+from typing import Annotated, Sequence, TypedDict, Union, Optional, Dict, Any
 from langchain_core.messages import BaseMessage
 
 
@@ -8,4 +8,8 @@ class AgentState(TypedDict):
     messages: Annotated[Sequence[BaseMessage], operator.add]
     # next 存储 Supervisor 决定的下一步是谁
     next: str
+    persona: Dict[str, Any]  # 存储提取出的结构化画像，例如 {"风格偏好": "北欧", "预算": "8000-12000", ...}
+    persona_summary: str  # 可选：LLM 对当前画像的自然语言总结，便于 prompt 使用
+    persona_complete: bool  # Supervisor 用这个判断是否能去 Researcher
     require_suggestion: bool  # 是否需要建议按钮
+    __end__: bool   # 新增这个字段，默认 False