ValueError: agent_type 'ZeroShotReactDescription' not supported

import os
from langchain.agents import initialize_agent, load_tools
from langchain.llm import OpenAI

llm = OpenAI(api_key=os.environ.get('OPENAI_API_KEY'))
tools = load_tools(['wikipedia', 'llm-math'], llm=llm)

# This line raises ValueError — ZeroShotReactDescription no longer exists
agent = initialize_agent(
    tools,
    llm,
    agent='zero-shot-react-description',  # ❌ BROKEN: deprecated agent_type
    verbose=True
)

response = agent.run('What is the capital of France?')

import os
from langchain_openai import ChatOpenAI
from langchain.agents import create_react_agent, AgentExecutor
from langchain_core.tools import tool
import json

llm = ChatOpenAI(
    model='gpt-4o-mini',
    api_key=os.environ.get('OPENAI_API_KEY')
)

# Define tools using modern @tool decorator
@tool
def wikipedia_lookup(query: str) -> str:
    """Look up information on Wikipedia. Return relevant summary."""
    # Mock implementation — replace with real wikipedia API
    return f"Wikipedia result for {query}: France is a country in Western Europe."

@tool
def calculator(expression: str) -> str:
    """Evaluate a math expression and return the result."""
    try:
        result = eval(expression)
        return str(result)
    except Exception as e:
        return f"Error: {str(e)}"

tools = [wikipedia_lookup, calculator]

# ✅ FIXED: Use create_react_agent instead of initialize_agent
from langchain.agents import create_react_agent, AgentExecutor
from langchain import hub

prompt = hub.pull('hwchase17/react')
agent = create_react_agent(llm, tools, prompt)
executor = AgentExecutor.from_agent_and_tools(
    agent=agent,
    tools=tools,
    verbose=True,
    max_iterations=10
)

result = executor.invoke({'input': 'What is the capital of France?'})
print(result['output'])