105 lines
4.0 KiB
Python
105 lines
4.0 KiB
Python
import os
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import asyncio
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from langchain_openai import ChatOpenAI
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from langchain.tools import tool
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from langchain.agents.middleware import HumanInTheLoopMiddleware
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from deepagents import create_deep_agent
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from deepagents.backends import CompositeBackend, LocalShellBackend, FilesystemBackend
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from langgraph.types import Command
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# ---------- LLM ----------
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llm = ChatOpenAI(
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model="openai/gpt-oss-20b:free",
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base_url="https://openrouter.ai/api/v1",
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api_key=os.getenv("OPENAI_API_KEY"),
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temperature=0.0,
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)
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# ---------- Backend ----------
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backend = CompositeBackend([
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LocalShellBackend(workspace_dir="./workspace"),
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FilesystemBackend(),
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])
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# ---------- Tool ----------
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@tool
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def get_weather(city: str, date: str = "today") -> str:
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"""Return a mock weather report for the given city and date."""
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return f"The weather in {city} on {date} is sunny with a high of 25°C."
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# ---------- Agent ----------
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agent = create_deep_agent(
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model=llm,
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tools=[get_weather],
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backend=backend,
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system_prompt="You are a helpful assistant.",
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middleware=[
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HumanInTheLoopMiddleware(
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interrupt_on={"get_weather": True},
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description_prefix="Подтвердите вызов инструмента",
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),
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],
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)
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# ---------- Helper to process interrupt ----------
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async def handle_interrupt(result, config):
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interrupt = result["__interrupt__"][0].value
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action_requests = interrupt["action_requests"]
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review_configs = interrupt["review_configs"]
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decisions = []
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for idx, action in enumerate(action_requests):
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name = action["name"]
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args = action["args"]
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description = action.get("description", "")
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print(f"\n--- Подтверждение ---")
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print(f"Инструмент: {name}")
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print(f"Аргументы: {args}")
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if description:
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print(f"Описание: {description}")
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# Determine allowed decisions
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allowed = review_configs[idx].get("allowed_decisions", ["approve", "reject", "edit"])
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while True:
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choice = input(f"a = approve, r = reject{', e = edit' if 'edit' in allowed else ''}: ").strip().lower()
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if choice == "a" and "approve" in allowed:
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decisions.append({"type": "approve"})
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break
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if choice == "r" and "reject" in allowed:
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msg = input("Сообщение для агента (причина отказа): ")
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decisions.append({"type": "reject", "message": msg})
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break
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if choice == "e" and "edit" in allowed:
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# Simple edit: ask for new args as JSON
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import json
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new_args = input("Введите отредактированные аргументы в формате JSON: ")
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try:
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new_args_dict = json.loads(new_args)
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decisions.append({"type": "edit", "edited_action": {"name": name, "args": new_args_dict}})
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break
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except json.JSONDecodeError:
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print("Неверный JSON, попробуйте снова.")
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print("Неверный выбор, попробуйте снова.")
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# Resume agent
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return await agent.ainvoke(Command(resume={"decisions": decisions}), config)
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# ---------- Main loop ----------
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async def main():
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config = {"configurable": {"thread_id": "session-1"}}
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while True:
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user_input = input("Вы: ")
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if user_input.lower() in {"exit", "quit"}:
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break
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# Initial invoke
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result = await agent.ainvoke(
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{"messages": [{"role": "human", "content": user_input}]},
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config,
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)
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# Process interrupts
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while "__interrupt__" in result:
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result = await handle_interrupt(result, config)
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# Final answer
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final_msg = result["messages"][-1].content
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print(f"\nАгент: {final_msg}\n")
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if __name__ == "__main__":
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asyncio.run(main())
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