​
Prepare the environment

OpenOperator requires Python 3.11 or higher. First, we recommend using uv to setup the Python environment. 
uv venv --python 3.11
and activate it with: 
# For Mac/Linux:
source .venv/bin/activate

# For Windows:
.venv\Scripts\activate
Install the dependencies: 
uv pip install openoperator
Then install playwright: 
playwright install

​
Create an agent

Then you can use the agent as follows:
agent.py
from langchain_openai import ChatOpenAI
from openoperator import Agent
from dotenv import load_dotenv
load_dotenv()

import asyncio

llm = ChatOpenAI(model="gpt-4o")

async def main():
    agent = Agent(
        task="Compare the price of gpt-4o and DeepSeek-V3",
        llm=llm,
    )
    result = await agent.run()
    print(result)

asyncio.run(main())

​
Set up your LLM API keys

ChatOpenAI and other Langchain chat models require API keys. You should store these in your .env file. For example, for OpenAI and Anthropic, you can set the API keys in your .env file, such as:
.env
OPENAI_API_KEY=
ANTHROPIC_API_KEY=
For other LLM models you can refer to the Langchain documentation to find how to set them up with their specific API keys.