import asyncio
import os
import sys
from browser_use.llm.openai.chat import ChatOpenAI
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from dotenv import load_dotenv
load_dotenv()
from lmnr import Laminar
try:
Laminar.initialize(project_api_key=os.getenv('LMNR_PROJECT_API_KEY'))
except Exception:
pass
from browser_use import Agent
# Initialize the model
llm = ChatOpenAI(
model='o4-mini',
temperature=1.0,
)
task = (
'Find current stock price of companies Meta and Amazon. Then, make me a CSV file with 2 columns: company name, stock price.'
)
agent = Agent(task=task, llm=llm)
async def main():
import time
start_time = time.time()
history = await agent.run()
# token usage
print(history.usage)
end_time = time.time()
print(f'Time taken: {end_time - start_time} seconds')
if __name__ == '__main__':
asyncio.run(main())
