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task-69a474cdc46fd26feae69896/main.py
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2026-05-27 13:20:18 +00:00

61 lines
2.1 KiB
Python

import os
from langchain_openai import ChatOpenAI
from langgraph.checkpoint.memory import MemorySaver
from langgraph.prebuilt import create_react_agent as create_agent
from rich.console import Console
from rich.markdown import Markdown
from tools import get_price
# LLM configuration using BroJS
llm = ChatOpenAI(
model="openai/gpt-oss-20b:free",
base_url="https://platform.brojs.ru/jrnl-bh/api/inference/v1",
api_key=os.getenv("JOURNAL_MCP_PAT"),
temperature=0.5,
)
# Memory checkpoint for interrupt handling
memory = MemorySaver()
# Create the agent with interrupt before tools
agent = create_agent(
model=llm,
tools=[get_price],
checkpointer=memory,
interrupt_before=["tools"],
)
console = Console()
def ask_and_run(user_input: str, config: dict):
"""Synchronously run the agent with streaming and handle interrupts."""
# Stream messages and updates
for chunk in agent.stream(
{"messages": [{"role": "user", "content": user_input}],
"configurable": config},
stream_mode=["messages", "updates"],
):
if isinstance(chunk, dict) and "__interrupt__" in chunk:
# Interrupt: ask for confirmation
console.print("[bold red]Agent requested tool execution. Confirm? (y/n): ", end="")
choice = input().strip().lower()
if choice != "y":
# Reject by sending a new message to the agent
config.update({"configurable": {"thread_id": config.get("thread_id", "default")}})
continue
if isinstance(chunk, dict) and "messages" in chunk:
for msg in chunk["messages"]:
console.print(Markdown(msg["content"]))
if __name__ == "__main__":
thread_id = os.getenv("THREAD_ID", "session-1")
config = {"thread_id": thread_id}
console.print("[bold green]Welcome to the price agent. Type 'exit' to quit.")
while True:
user_input = input("Вы: ")
if user_input.lower() in ("exit", "quit"):
break
ask_and_run(user_input, config)
console.print("[bold blue]Goodbye!", style="bold")