refactor: 删除重复的 tools

src/agents/common/tools.py

@@ -11,12 +11,7 @@ from pydantic import BaseModel, Field
 from src import config, graph_base, knowledge_base
 from src.utils import logger
 
-# TODO[修改建议]:前端需要通过interrupt进行交互，点击是或否来批准执行
+
-# 返回中断点：
-# is_approved : bool = True 或者 False
-# resume_command = Command(resume=is_approved)
-# stream = graph.stream(resume_command, config=config, stream_mode="messages")
-# graph.invoke(resume_command, config=config)
 @tool(name_or_callable="人工审批工具", description="请求人工审批工具，用于在执行重要操作前获得人类确认。")
 def get_approved_user_goal(
     operation_description: str,
@@ -54,50 +49,6 @@ def get_approved_user_goal(
 
     return result
 
-# TODO[修改建议]:前端需要通过interrupt进行交互，点击是或否来批准执行
-# 返回中断点：
-# is_approved : bool = True 或者 False
-# resume_command = Command(resume=is_approved)
-# stream = graph.stream(resume_command, config=config, stream_mode="messages")
-# graph.invoke(resume_command, config=config)
-@tool(name_or_callable="人工审批工具", description="请求人工审批工具，用于在执行重要操作前获得人类确认。")
-def get_approved_user_goal(
-    operation_description: str,
-) -> dict:
-    """
-    请求人工审批，在执行重要操作前获得人类确认。
-
-    Args:
-        operation_description: 需要审批的操作描述，例如 "调用知识库工具"
-    Returns:
-        dict: 包含审批结果的字典，格式为 {"approved": bool, "message": str}
-    """
-    # 构建详细的中断信息
-    interrupt_info = {
-        "question": "是否批准以下操作？",
-        "operation": operation_description,
-    }
-
-    # 触发人工审批
-    is_approved = interrupt(interrupt_info)
-
-    # 返回审批结果
-    if is_approved:
-        result = {
-            "approved": True,
-            "message": f"✅ 操作已批准：{operation_description}",
-        }
-        print(f"✅ 人工审批通过: {operation_description}")
-    else:
-        result = {
-            "approved": False,
-            "message": f"❌ 操作被拒绝：{operation_description}",
-        }
-        print(f"❌ 人工审批被拒绝: {operation_description}")
-
-    return result
-
-
 @tool(name_or_callable="查询知识图谱", description="使用这个工具可以查询知识图谱中包含的三元组信息。")
 def query_knowledge_graph(query: Annotated[str, "The keyword to query knowledge graph."]) -> Any:
     """Use this to query knowledge graph, which include some food domain knowledge."""

src/agents/reporter/graph.py

@@ -39,7 +39,7 @@ async def context_based_model(request: ModelRequest, handler) -> ModelResponse:
 
 
 class SqlReporterAgent(BaseAgent):
-    name = "SQL 报告助手"
+    name = "数据库报表助手"
     description = "一个能够生成 SQL 查询报告的智能体助手。同时调用 Charts MCP 生成图表。"
 
     def __init__(self, **kwargs):