commit 0ffa01eab6ce3dab422a1e4c161de72326732b4c
Author: Илья 5f1b81b8-4f5d-11e8-9c2d-fa7ae01bbebc <gurevich1104@mail.ru>
Date:   Tue Jun 30 16:02:21 2026 +0000

    add: main.py

diff --git a/main.py b/main.py
new file mode 100644
index 0000000..dcdb6b3
--- /dev/null
+++ b/main.py
@@ -0,0 +1,98 @@
+import os
+import asyncio
+from langchain_openai import ChatOpenAI
+from langchain_core.messages import HumanMessage
+from langchain.tools import tool
+from deepagents import create_deep_agent
+from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
+from langgraph.checkpoint.memory import MemorySaver
+from langchain.agents.middleware import HumanInTheLoopMiddleware
+from langgraph.types import Command
+
+# LLM via OpenRouter
+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,
+)
+
+# Backend for deepagents
+backend = CompositeBackend([
+    LocalShellBackend(workspace_dir="./workspace"),
+    FilesystemBackend(),
+])
+
+# Example tool – get_weather
+@tool
+def get_weather(city: str, date: str) -> str:
+    """Return the weather for a given city and date."""
+    # Dummy implementation – replace with real API call if needed
+    return f"Weather in {city} on {date} is sunny and 25°C."
+
+# Create the agent with Human‑in‑the‑Loop middleware
+agent = create_deep_agent(
+    model=llm,
+    tools=[get_weather],
+    backend=backend,
+    system_prompt="You are a helpful assistant.",
+    checkpointer=MemorySaver(),
+    middleware=[
+        HumanInTheLoopMiddleware(
+            interrupt_on={"get_weather": True},
+            description_prefix="Подтвердите вызов инструмента",
+        ),
+    ],
+)
+
+async def main():
+    config = {"configurable": {"thread_id": "session-1"}}
+    user_input = input("Вы: ")
+
+    # Initial invoke
+    result = await agent.ainvoke(
+        {"messages": [HumanMessage(content=user_input)]},
+        config,
+    )
+
+    # Process Human‑in‑the‑Loop interrupts
+    while "__interrupt__" in result:
+        interrupt = result["__interrupt__"][0].value
+        action_requests = interrupt.get("action_requests", [])
+        review_configs = interrupt.get("review_configs", {})
+
+        decisions = []
+        print("\n--- Подтверждение ---")
+        for action in action_requests:
+            name = action.get("name")
+            args = action.get("args", {})
+            description = action.get("description", "")
+            print(f"Инструмент: {name}")
+            print(f"Аргументы: {args}")
+            if description:
+                print(f"Описание: {description}")
+            allowed = review_configs.get(name, {}).get("allowed_decisions", ["approve", "reject"])
+            while True:
+                choice = input("a = approve, r = reject: ").strip().lower()
+                if choice == "a" and "approve" in allowed:
+                    decisions.append({"type": "approve"})
+                    break
+                elif choice == "r" and "reject" in allowed:
+                    reason = input("Сообщение для агента (причина отказа): ").strip()
+                    decisions.append({"type": "reject", "message": reason})
+                    break
+                else:
+                    print("Неверный ввод. Попробуйте снова.")
+
+        # Resume agent after decisions
+        result = await agent.ainvoke(
+            Command(resume={"decisions": decisions}),
+            config,
+        )
+
+    # Final answer
+    final_message = result["messages"][-1].content
+    print("\nАгент:", final_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
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