OPENAI_API_KEY
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
from langchain_openai import ChatOpenAI
from langchain_anthropic import ChatAnthropic
from browser_use import Agent, Browser, BrowserConfig
import asyncio
from dotenv import load_dotenv
load_dotenv()
import logging
logging.basicConfig(level=logging.INFO, force=True)
import os
os.environ['OPENAI_API_KEY'] = "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"
os.environ['ANTHROPIC_API_KEY'] = "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"
config = BrowserConfig(
headless=True,
disable_security=False
)
browser = Browser(config=config)
async def main():
agent = Agent(
browser=browser,
task="Search Bing for agentic software design and give me a relevance score for the search results.",
llm=ChatAnthropic(model="claude-3-5-sonnet-20240620"),
)
await agent.run()
await main()
