mirror of
https://github.com/browser-use/browser-use
synced 2026-05-06 17:52:15 +02:00
48 lines
879 B
Python
48 lines
879 B
Python
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())
|