修改引用逻辑，修改长期记忆bug

app/agent/__init__.py

@@ -0,0 +1,7 @@
+"""
+Agent 子模块
+"""
+
+from app.agent.service import AIAgentService
+
+__all__ = ["AIAgentService"]

app/agent/history.py

@@ -3,11 +3,9 @@
 利用 LangGraph 的 checkpointer 获取对话历史和摘要
 """
 
-from typing import List, Dict, Any, Optional
-import logging
+from typing import List, Dict, Any
 from app.logger import error # 保持兼容，或者替换为 logger
 
-
 class ThreadHistoryService:
     """线程历史查询服务"""
     

app/agent/prompts.py

@@ -1,6 +1,5 @@
 # app/prompts.py
 from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
-from langchain_core.tools import BaseTool
 
 def create_system_prompt(tools: list = None) -> ChatPromptTemplate:
     """
@@ -11,7 +10,7 @@ def create_system_prompt(tools: list = None) -> ChatPromptTemplate:
         tool_descs = []
         for tool in tools:
             # 提取工具名称和描述的第一行
-            name = getattr(tool, 'name', tool.__name__)
+            name = getattr(tool, 'name', None) or getattr(tool, '__name__', 'unknown_tool')
             desc = (tool.description or "").split('\n')[0]
             tool_descs.append(f"- {name}: {desc}")
         tools_section = "\n".join(tool_descs)

app/agent/service.py

@@ -3,27 +3,17 @@ AI Agent 服务类 - 支持多模型动态切换
 接收外部传入的 checkpointer，不负责管理连接生命周期
 """
 
-import os
 import json
 from dotenv import load_dotenv
 
-from langchain_community.chat_models import ChatZhipuAI
-from langchain_openai import ChatOpenAI, OpenAIEmbeddings
-from pydantic import SecretStr
-from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
-
 # 本地模块
-from app.graph_builder import GraphBuilder, GraphContext
-from app.graph_tools import AVAILABLE_TOOLS, TOOLS_BY_NAME
-from app.rag import RAGPipeline
-from app.rag.tools import create_rag_tool_sync
-from rag_core import create_parent_retriever
-from app.llm_factory import LLMFactory
-from app.rag_initializer import init_rag_tool
-from app.logger import debug, info, warning, error
+from app.graph.graph_builder import GraphBuilder, GraphContext
+from app.graph.graph_tools import AVAILABLE_TOOLS, TOOLS_BY_NAME
+from app.agent.llm_factory import LLMFactory
+from app.agent.rag_initializer import init_rag_tool
+from app.logger import info, warning
 load_dotenv()
 
-
 class AIAgentService:
     def __init__(self, checkpointer):
         self.checkpointer = checkpointer