interrupt()暂停工具人工介入

1. 在工具中使用 interrupt() 暂停执行。
2. 使用 Command(resume=...) 根据人工输入继续。

 

原始方法:

 

使用agentinbox做成工具直接每次调用时可以直接暂停

from typing import Callable
from langchain_core.tools import BaseTool, tool as create_tool
from langchain_core.runnables import RunnableConfig
from langgraph.types import interrupt
from langgraph.prebuilt.interrupt import HumanInterruptConfig, HumanInterrupt

def add_human_in_the_loop(
tool: Callable | BaseTool,
*,
interrupt_config: HumanInterruptConfig = None,
) -> BaseTool:
"""Wrap a tool to support human-in-the-loop review."""
if not isinstance(tool, BaseTool):
tool = create_tool(tool)

if interrupt_config is None:
interrupt_config = {
"allow_accept": True,
"allow_edit": True,
"allow_respond": True,
}

@create_tool(
tool.name,
description=tool.description,
args_schema=tool.args_schema
)
def call_tool_with_interrupt(config: RunnableConfig, **tool_input):
request: HumanInterrupt = {
"action_request": {
"action": tool.name,
"args": tool_input
},
"config": interrupt_config,
"description": "Please review the tool call"
}
response = interrupt([request])[0]
# approve the tool call
if response["type"] == "accept":
tool_response = tool.invoke(tool_input, config)
# update tool call args
elif response["type"] == "edit":
tool_input = response["args"]["args"]
tool_response = tool.invoke(tool_input, config)
# respond to the LLM with user feedback
elif response["type"] == "response":
user_feedback = response["args"]
tool_response = user_feedback
else:
raise ValueError(f"Unsupported interrupt response type: {response['type']}")

return tool_response

return call_tool_with_interrupt