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"""
To Use It:
Example 1: Using OpenAI (default), with default task: 'go to reddit and search for posts about browser-use'
python command_line.py
Example 2: Using OpenAI with a Custom Query
python command_line.py --query "go to google and search for browser-use"
Example 3: Using Anthropic's Claude Model with a Custom Query
python command_line.py --query "find latest Python tutorials on Medium" --provider anthropic
"""
import os
import sys
import argparse
import asyncio
# Ensure local repository (browser_use) is accessible
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from dotenv import load_dotenv
from browser_use import Agent
from browser_use.browser.browser import Browser, BrowserConfig
from browser_use.controller.service import Controller
load_dotenv()
def get_llm(provider: str):
if provider == 'anthropic':
from langchain_anthropic import ChatAnthropic
api_key = os.getenv("ANTHROPIC_API_KEY")
if not api_key:
raise ValueError("Error: ANTHROPIC_API_KEY is not set. Please provide a valid API key.")
return ChatAnthropic(
model_name='claude-3-5-sonnet-20240620', timeout=25, stop=None, temperature=0.0
)
elif provider == 'openai':
from langchain_openai import ChatOpenAI
api_key = os.getenv("OPENAI_API_KEY")
if not api_key:
raise ValueError("Error: OPENAI_API_KEY is not set. Please provide a valid API key.")
return ChatOpenAI(model='gpt-4o', temperature=0.0)
else:
raise ValueError(f'Unsupported provider: {provider}')
def parse_arguments():
"""Parse command-line arguments."""
parser = argparse.ArgumentParser(description="Automate browser tasks using an LLM agent.")
parser.add_argument(
'--query',
type=str,
help='The query to process',
default='go to reddit and search for posts about browser-use'
)
parser.add_argument(
'--provider',
type=str,
choices=['openai', 'anthropic'],
default='openai',
help='The model provider to use (default: openai)',
)
return parser.parse_args()
def initialize_agent(query: str, provider: str):
"""Initialize the browser agent with the given query and provider."""
llm = get_llm(provider)
controller = Controller()
browser = Browser(config=BrowserConfig())
return Agent(
task=query,
llm=llm,
controller=controller,
browser=browser,
use_vision=True,
max_actions_per_step=1,
), browser
async def main():
"""Main async function to run the agent."""
args = parse_arguments()
agent, browser = initialize_agent(args.query, args.provider)
await agent.run(max_steps=25)
input('Press Enter to close the browser...')
await browser.close()
if __name__ == "__main__":
asyncio.run(main()) |