rewrite main.py with correct create_agent helper

This commit is contained in:
2026-05-27 13:26:25 +00:00
parent 03daffc4bb
commit 211932dd3c
+75 -33
View File
@@ -1,60 +1,102 @@
import os import os
from langchain_openai import ChatOpenAI from langchain_openai import ChatOpenAI
from langgraph.checkpoint.memory import MemorySaver from langgraph.checkpoint.memory import MemorySaver
from langgraph.prebuilt import create_react_agent as create_agent from langgraph.prebuilt import create_react_agent
from rich.console import Console from rich.console import Console
from rich.markdown import Markdown
from tools import get_price
# LLM configuration using BroJS # ---------------------------------------------------------------
# LLM
# ---------------------------------------------------------------
llm = ChatOpenAI( llm = ChatOpenAI(
model="openai/gpt-oss-20b:free", model="openai/gpt-oss-20b:free",
base_url="https://platform.brojs.ru/jrnl-bh/api/inference/v1", base_url="https://platform.brojs.ru/jrnl-bh/api/inference/v1",
api_key=os.getenv("JOURNAL_MCP_PAT"), api_key=os.getenv("JOURNAL_MCP_PAT"),
temperature=0.5, temperature=0.0,
) )
# Memory checkpoint for interrupt handling # ---------------------------------------------------------------
# Helper create_agent — обёртка, как описано в инструкции
# ---------------------------------------------------------------
def create_agent(model, tools, system_prompt="", checkpointer=None, interrupt_before=None):
"""Helper-функция для создания агента с памятью и interrupt."""
kwargs = dict(model=model, tools=tools)
if system_prompt:
kwargs["prompt"] = system_prompt
if checkpointer is not None:
kwargs["checkpointer"] = checkpointer
if interrupt_before is not None:
kwargs["interrupt_before"] = interrupt_before
return create_react_agent(**kwargs)
# ---------------------------------------------------------------
# Инструменты
# ---------------------------------------------------------------
from langchain.tools import tool
@tool
def get_price(city: str, date: str) -> str:
"""Возвращает условную цену/погоду для города на указанную дату."""
return f"Данные для {city} на {date}: 720 руб/кг, 18C, облачно"
# ---------------------------------------------------------------
# Агент с памятью и паузой перед инструментом
# ---------------------------------------------------------------
memory = MemorySaver() memory = MemorySaver()
# Create the agent with interrupt before tools
agent = create_agent( agent = create_agent(
model=llm, model=llm,
tools=[get_price], tools=[get_price],
system_prompt="Ты полезный ассистент. Помогай пользователю находить цены и погоду.",
checkpointer=memory, checkpointer=memory,
interrupt_before=["tools"], interrupt_before=["tools"],
) )
console = Console() console = Console()
# ---------------------------------------------------------------
# ask_and_run — точная структура из задания
# ---------------------------------------------------------------
def ask_and_run(user_input, config):
for chunk in agent.stream(user_input, config=config, stream_mode=["messages", "updates"]):
state = agent.get_state(config)
chunk_type, chunk_data = chunk
def ask_and_run(user_input: str, config: dict): if chunk_type == "messages":
"""Synchronously run the agent with streaming and handle interrupts.""" msg = chunk_data[0] if isinstance(chunk_data, (list, tuple)) else chunk_data
# Stream messages and updates content = getattr(msg, "content", "")
for chunk in agent.stream( if content and not getattr(msg, "tool_calls", None):
{"messages": [{"role": "user", "content": user_input}], console.print(content, end="")
"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 chunk_type == "updates":
console.print("\n --- --- --- \n")
for node_data in chunk_data.values():
for msg in node_data.get("messages", []):
for tc in getattr(msg, "tool_calls", []):
console.print(f"[bold]{tc['name']}({tc['args']})[/bold]")
if "__interrupt__" in chunk_data and state.next == ("tools",):
tool_call = state.values["messages"][-1].tool_calls[0]
console.print(f"Агент хочет вызвать утилиту [bold]{tool_call['name']}({tool_call['args']})[/bold]")
answer = input("Разрешить? (Y/n): ")
if answer.lower().strip() == "y":
ask_and_run(None, config)
else:
console.print("Отменено")
break
# ---------------------------------------------------------------
# Чат-цикл
# ---------------------------------------------------------------
if __name__ == "__main__": if __name__ == "__main__":
thread_id = os.getenv("THREAD_ID", "session-1") config = {"configurable": {"thread_id": "разговор-1"}}
config = {"thread_id": thread_id} console.print("[bold green]Агент запущен. Введите 'exit' для выхода.[/bold green]")
console.print("[bold green]Welcome to the price agent. Type 'exit' to quit.")
while True: while True:
user_input = input("Вы: ") user_input = input("\nВы: ")
if user_input.lower() in ("exit", "quit"): if user_input == "exit":
break break
ask_and_run(user_input, config)
console.print("[bold blue]Goodbye!", style="bold") ask_and_run(
{"messages": [{"role": "human", "content": user_input}]},
config,
)