diff --git a/main.py b/main.py
index 524ad89..8c1684d 100644
--- a/main.py
+++ b/main.py
@@ -4,8 +4,9 @@ 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
 
-# LLM setup
+# LLM configuration
 llm = ChatOpenAI(
     model="openai/gpt-oss-20b:free",
     base_url="https://openrouter.ai/api/v1",
@@ -13,19 +14,15 @@ llm = ChatOpenAI(
     temperature=0.0,
 )
 
-# Simple tool: get_weather
-from langchain.tools import tool
-
+# Simple weather tool
 @tool
 def get_weather(city: str, date: str = "сегодня") -> str:
-    """Return a mock weather description for the given city and date."""
-    # In a real scenario, call an API. Here we return a placeholder.
+    """Return a mock weather description for a city and date."""
     return f"Погода в {city} на {date}: солнечно, 25°C."
 
-# Memory for middleware
+# Agent with HumanInTheLoopMiddleware
 memory = MemorySaver()
 
-# Agent with HumanInTheLoopMiddleware
 agent = create_agent(
     model=llm,
     tools=[get_weather],
@@ -33,7 +30,7 @@ agent = create_agent(
     middleware=[
         HumanInTheLoopMiddleware(
             interrupt_on={
-                "get_weather": True,  # allow approve, edit, reject
+                "get_weather": True,
             },
             description_prefix="Подтвердите вызов инструмента",
         ),
@@ -42,13 +39,12 @@ agent = create_agent(
 )
 
 # Helper to process interrupt and get decisions
-
 def handle_interrupt(interrupt_value):
     action_requests = interrupt_value["action_requests"]
     decisions = []
     for idx, action in enumerate(action_requests, 1):
         name = action.get("name")
-        args = action.get("args")
+        args = action.get("args", {})
         description = action.get("description", "")
         print(f"\n--- Подтверждение {idx} ---")
         print(f"Инструмент: {name}")
@@ -61,7 +57,7 @@ def handle_interrupt(interrupt_value):
                 decisions.append({"type": "approve"})
                 break
             elif choice == "r":
-                msg = input("Причина отказа: ")
+                msg = input("Сообщение для агента (причина отказа): ")
                 decisions.append({"type": "reject", "message": msg})
                 break
             else:
@@ -72,10 +68,10 @@ def handle_interrupt(interrupt_value):
 if __name__ == "__main__":
     config = {"configurable": {"thread_id": "сессия-1"}}
     while True:
-        user_input = input("Вы: ")
+        user_input = input("\nВы: ")
         if not user_input:
             continue
-        # Initial invoke
+        # First invoke
         result = agent.invoke(
             {"messages": [{"role": "human", "content": user_input}]},
             config=config,
@@ -85,10 +81,9 @@ if __name__ == "__main__":
             interrupt = result["__interrupt__"][0].value
             decisions = handle_interrupt(interrupt)
             result = agent.invoke(Command(resume={"decisions": decisions}), config=config)
-        # Final answer
+        # Output final answer
         if result.get("messages"):
-            answer = result["messages"][-1].content
-            print(f"\nАгент: {answer}\n")
+            print("\nАгент:", result["messages"][-1].content)
         else:
-            print("\nАгент не ответил.\n")
+            print("\nАгент не ответил.")
         # Continue loop for next user query