Solution ready: update agent.py

agent.py

@@ -1,14 +1,6 @@
-"""
+# Human‑in‑the‑Loop (HITL) middleware example
-Human‑in‑the‑Loop agent with tool calling.
+# interrupt decision types: approve, edit, reject, respond
-
+# respond decision can be used to supply a human reply as tool result
-This example demonstrates how to use LangChain's `HumanInTheLoopMiddleware` to pause the agent when a tool is about to be called, ask the user for approval, and then resume execution.
-
-The agent uses a simple `get_weather` tool that returns a hard‑coded weather string. In a real project you would replace it with an API call.
-
-Run:
-    python agent.py
-Make sure you have `OPENAI_API_KEY` set in your environment.
-"""
 
 import os
 from typing import List, Dict
@@ -17,7 +9,7 @@ from langchain_openai import ChatOpenAI
 from langchain.agents import create_agent
 from langchain.agents.middleware import HumanInTheLoopMiddleware
 from langchain.tools import BaseTool
-from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.checkpoint.memory import MemorySaver
 from langgraph.types import Command
 
 # --- Tool ---------------------------------------------------------------
@@ -36,7 +28,7 @@ if not api_key:
 llm = ChatOpenAI(api_key=api_key, temperature=0.7)
 
 # --- Agent --------------------------------------------------------------
-memory = InMemorySaver()
+memory = MemorySaver()
 
 agent = create_agent(
     model=llm,