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import os
import sys
from langchain_anthropic import ChatAnthropic
from langchain_openai import ChatOpenAI
from browser_use.browser.context import BrowserContext, BrowserContextConfig
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import argparse
import asyncio
from browser_use import Agent
from browser_use.browser.browser import Browser, BrowserConfig
from browser_use.controller.service import Controller
def get_llm(provider: str):
if provider == 'anthropic':
return ChatAnthropic(model_name='claude-3-5-sonnet-20240620', timeout=25, stop=None, temperature=0.0)
elif provider == 'openai':
return ChatOpenAI(model='gpt-4o', temperature=0.0)
else:
raise ValueError(f'Unsupported provider: {provider}')
# NOTE: This example is to find your current user agent string to use it in the browser_context
task = 'go to https://whatismyuseragent.com and find the current user agent string '
controller = Controller()
parser = argparse.ArgumentParser()
parser.add_argument('--query', type=str, help='The query to process', default=task)
parser.add_argument(
'--provider',
type=str,
choices=['openai', 'anthropic'],
default='openai',
help='The model provider to use (default: openai)',
)
args = parser.parse_args()
llm = get_llm(args.provider)
browser = Browser(
config=BrowserConfig(
# chrome_instance_path='/Applications/Google Chrome.app/Contents/MacOS/Google Chrome',
)
)
browser_context = BrowserContext(config=BrowserContextConfig(user_agent='foobarfoo'), browser=browser)
agent = Agent(
task=args.query,
llm=llm,
controller=controller,
# browser=browser,
browser_context=browser_context,
use_vision=True,
max_actions_per_step=1,
)
async def main():
await agent.run(max_steps=25)
input('Press Enter to close the browser...')
await browser_context.close()
asyncio.run(main())
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