import asyncio
from browser_use import Agent as BrowserAgent
from dotenv import load_dotenv
from langchain_openai import ChatOpenAI
from swarms import Agent
load_dotenv()
class BrowserUseAgent:
def __init__(self, agent_name: str = "BrowserAgent", agent_description: str = "A browser agent that can navigate the web and perform tasks."):
"""
Initialize a BrowserAgent with a given name.
Args:
agent_name (str): The name of the browser agent.
"""
self.agent_name = agent_name
self.agent_description = agent_description
async def browser_agent_test(self, task: str):
"""
Asynchronously run the browser agent on a given task.
Args:
task (str): The task prompt for the agent.
Returns:
Any: The result of the agent's run method.
"""
agent = BrowserAgent(
task=task,
llm=ChatOpenAI(model="gpt-4.1"),
)
result = await agent.run()
return result.model_dump_json(indent=4)
def run(self, task: str):
"""
Run the browser agent synchronously on a given task.
Args:
task (str): The task prompt for the agent.
Returns:
Any: The result of the agent's run method.
"""
return asyncio.run(self.browser_agent_test(task))
def browser_agent_tool(task: str):
"""
Executes a browser automation agent as a callable tool.
This function instantiates a `BrowserAgent` and runs it synchronously on the provided task prompt.
The agent will use a language model to interpret the task, control a browser, and return the results
as a JSON-formatted string.
Args:
task (str):
A detailed instruction or prompt describing the browser-based task to perform.
For example, you can instruct the agent to navigate to a website, extract information,
or interact with web elements.
Returns:
str:
The result of the browser agent's execution, formatted as a JSON string. The output
typically includes the agent's findings, extracted data, and any relevant observations
from the automated browser session.
Example:
result = browser_agent_tool(
"Please navigate to https://www.coingecko.com and identify the best performing cryptocurrency coin over the past 24 hours."
)
print(result)
"""
return BrowserAgent().run(task)
agent = Agent(
name = "Browser Agent",
model_name = "gpt-4.1",
tools = [browser_agent_tool],
)
agent.run("Please navigate to https://www.coingecko.com and identify the best performing cryptocurrency coin over the past 24 hours.")
