96 lines
3.1 KiB
Python
96 lines
3.1 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_core.messages import HumanMessage
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from langchain.tools import tool
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from deepagents import create_deep_agent
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from deepagents.backends import FilesystemBackend, LocalShellBackend, CompositeBackend
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from langgraph.checkpoint.memory import MemorySaver
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from rich.console import Console
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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_price(query: str) -> str:
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"""Return a mock price for a city and date."""
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return f"Price for {query} is $42"
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# ---------- Memory ----------
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memory = MemorySaver()
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# ---------- Console ----------
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console = Console()
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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_price],
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backend=backend,
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system_prompt="You are a helpful agent that can fetch prices.",
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checkpointer=memory,
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interrupt_before=["tools"],
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)
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# ---------- Helper to display tool call ----------
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async def display_tool_call(state):
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# Get the last tool call from the messages
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messages = state.values.get("messages", [])
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if not messages:
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return
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last_msg = messages[-1]
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if hasattr(last_msg, "tool_calls") and last_msg.tool_calls:
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tool_call = last_msg.tool_calls[0]
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name = tool_call.get("name")
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args = tool_call.get("args")
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console.print(f"\n[bold cyan]Agent wants to call tool:[/bold cyan] {name}({args})")
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# ---------- Main loop ----------
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async def ask_and_run(user_input, config):
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async for chunk in agent.stream(user_input, config=config, stream_mode=["messages", "updates"]):
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chunk_type, chunk_data = chunk
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state = agent.get_state(config)
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if chunk_type == "messages":
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# Stream token output
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console.print(chunk_data, end="")
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if chunk_type == "updates":
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# Tool execution output
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console.print(chunk_data, end="")
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# Handle interrupt before tool call
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if "__interrupt__" in chunk_data and state.next == ("tools",):
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await display_tool_call(state)
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answer = input("Разрешить? (Y/n): ")
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if answer.lower().strip() in ("", "y", "yes"):
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# Resume by calling ask_and_run with None to continue
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await ask_and_run(None, config)
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else:
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console.print("[red]Отменено[/red]")
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break
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async def main():
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config = {"configurable": {"thread_id": "conversation-1"}}
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console.print("[bold green]Добро пожаловать! Введите 'exit' для выхода.[/bold green]")
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while True:
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user_input = input("\nВы: ")
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if user_input.lower() == "exit":
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break
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await ask_and_run({"messages": [{"role": "human", "content": user_input}]}, config)
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if __name__ == "__main__":
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asyncio.run(main())
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