From 97ec97856d74fb66aa8a234bf60c8427108fd412 Mon Sep 17 00:00:00 2001
From: balabanovan530 <175+balabanovan530@noreply.localhost>
Date: Tue, 2 Jun 2026 14:43:26 +0000
Subject: [PATCH] Add agent.py

---
 agent.py | 91 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 91 insertions(+)
 create mode 100644 agent.py

diff --git a/agent.py b/agent.py
new file mode 100644
index 0000000..2f212e6
--- /dev/null
+++ b/agent.py
@@ -0,0 +1,91 @@
+import uuid
+from typing import Any, Dict, List
+
+from langchain_openai import ChatOpenAI
+from langchain.agents import create_agent
+from langchain.agents.middleware import HumanInTheLoopMiddleware
+from langgraph.checkpoint.memory import MemorySaver
+from langgraph.types import Command
+from langchain.tools import tool
+
+
+def main() -> None:
+    llm = ChatOpenAI(
+        model="gpt-3.5-turbo",
+        temperature=0,
+        # For a local model, uncomment and adjust:
+        # base_url="http://localhost:11434/v1",
+        # api_key="ollama",
+    )
+
+    @tool("get_weather")
+    def get_weather(city: str, date: str) -> str:
+        """Return a mocked weather string for the given city and date."""
+        return f"Weather in {city} on {date}"
+
+    tools = [get_weather]
+
+    memory = MemorySaver()
+
+    agent = create_agent(
+        model=llm,
+        tools=tools,
+        system_prompt="You are a helpful assistant",
+        middleware=[
+            HumanInTheLoopMiddleware(
+                interrupt_on={"get_weather": True},
+                description_prefix="Confirm tool usage:",
+            ),
+        ],
+        checkpointer=memory,
+    )
+
+    thread_id = str(uuid.uuid4())
+    config: Dict[str, Any] = {"configurable": {"thread_id": thread_id}}
+
+    user_message = input("Enter your question: ")
+
+    result = agent.invoke(
+        {"messages": [{"role": "human", "content": user_message}]},
+        config=config,
+    )
+
+    while "__interrupt__" in result:
+        interrupt_value = result["__interrupt__"][0].value
+        action_requests = interrupt_value["action_requests"]
+        # review_configs = interrupt_value.get("review_configs", {})  # unused
+
+        decisions: List[Dict[str, Any]] = []
+
+        for idx, action in enumerate(action_requests):
+            name = action.get("name", "<unknown>")
+            args = action.get("args", {})
+            description = action.get("description", "")
+            print(f"\nAction {idx + 1}: {name}")
+            if description:
+                print(f"Description: {description}")
+            print(f"Arguments: {args}")
+            while True:
+                choice = input("Decision (a=approve, r=reject): ").strip().lower()
+                if choice == "a":
+                    decisions.append({"type": "approve"})
+                    break
+                elif choice == "r":
+                    reason = input("Reason for rejection: ")
+                    decisions.append({"type": "reject", "message": reason})
+                    break
+                else:
+                    print("Invalid input. Please enter 'a' or 'r'.")
+
+        result = agent.invoke(
+            Command(resume={"decisions": decisions}),
+            config=config,
+        )
+
+    final_content = result["messages"][-1]["content"]
+    print("\nAgent response:")
+    print(final_content)
+
+
+if __name__ == "__main__":
+    main()