ما هو create_agent؟

def multiply(a: int, b: int) -> int:
    """Multiply two integers and return the product."""
    return a * b
def translate_to_french(text: str) -> str:
    """Return a mock French translation of the input text."""
    return f"French translation of '{text}'"
def get_weather(city: str) -> str:
    """Return a mock weather string for the given city."""
    return f"The weather in {city} is sunny."

from langchain_openai import ChatOpenAI
from langgraph.graph import MessagesState, StateGraph, START, END
from langgraph.prebuilt import ToolNode, tools_condition
llm = ChatOpenAI(model="gpt-5")
llm_with_tools = llm.bind_tools([multiply, translate_to_french, get_weather])
def tool_calling_llm(state: MessagesState):
    response = llm_with_tools.invoke(state["messages"])
    return {"messages": [response]}
builder = StateGraph(MessagesState)
builder.add_node("tool_calling_llm", tool_calling_llm)
builder.add_node("tools", ToolNode([multiply, translate_to_french, get_weather]))
builder.add_edge(START, "tool_calling_llm")
builder.add_conditional_edges("tool_calling_llm", tools_condition, {"tools": "tools", END: END})
builder.add_edge("tools", "tool_calling_llm")
graph = builder.compile()

from langchain.agents import create_agent
graph = create_agent(
    model="openai:gpt-5",
    tools=[multiply, translate_to_french, get_weather],
    system_prompt="You are a helpful assistant.",
)