add main.py

main.py

@@ -0,0 +1,89 @@
+import os
+import json
+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
+
+# LLM setup
+llm = ChatOpenAI(
+    model="openai/gpt-oss-20b:free",
+    base_url="https://openrouter.ai/api/v1",
+    api_key=os.getenv("OPENAI_API_KEY"),
+    temperature=0.0,
+)
+
+# Simple tool: get_weather
+from langchain.tools import 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 deterministic string.
+    return f"Погода в {city} на {date}: солнечно, 25°C."
+
+# Agent with HumanInTheLoopMiddleware
+memory = MemorySaver()
+
+agent = create_agent(
+    model=llm,
+    tools=[get_weather],
+    system_prompt="Ты полезный ассистент.",
+    middleware=[
+        HumanInTheLoopMiddleware(
+            interrupt_on={"get_weather": True},
+            description_prefix="Подтвердите вызов инструмента",
+        ),
+    ],
+    checkpointer=memory,
+)
+
+# Helper to process interrupt and collect 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", {})
+        description = action.get("description", "")
+        print(f"\n--- Подтверждение {idx} ---")
+        print(f"Инструмент: {name}")
+        print(f"Аргументы: {args}")
+        if description:
+            print(f"Описание: {description}")
+        while True:
+            choice = input("a = approve, r = reject: ").strip().lower()
+            if choice == "a":
+                decisions.append({"type": "approve"})
+                break
+            elif choice == "r":
+                msg = input("Сообщение для агента (причина отказа): ")
+                decisions.append({"type": "reject", "message": msg})
+                break
+            else:
+                print("Неверный ввод. Попробуйте снова.")
+    return decisions
+
+# Main interaction loop
+if __name__ == "__main__":
+    config = {"configurable": {"thread_id": "сессия-1"}}
+    while True:
+        user_input = input("\nВы: ")
+        if user_input.lower() in {"exit", "quit"}:
+            print("Завершение.")
+            break
+        # Initial invoke
+        result = agent.invoke({"messages": [{"role": "human", "content": user_input}]}, config=config)
+        # Process interrupts
+        while "__interrupt__" in result:
+            interrupt = result["__interrupt__"][0].value
+            decisions = handle_interrupt(interrupt)
+            result = agent.invoke(Command(resume={"decisions": decisions}), config=config)
+        # Final answer
+        if result.get("messages"):
+            final_msg = result["messages"][-1].content
+            print(f"\nАгент: {final_msg}")
+        else:
+            print("\nАгент не вернул ответа.")