"""
Example of using LangChain models with browser-use.
This example demonstrates how to:
1. Wrap a LangChain model with ChatLangchain
2. Use it with a browser-use Agent
3. Run a simple web automation task
@file purpose: Example usage of LangChain integration with browser-use
"""
import asyncio
from langchain_openai import ChatOpenAI # pyright: ignore
from lmnr import Laminar
from browser_use import Agent
from examples.models.langchain.chat import ChatLangchain
Laminar.initialize()
async def main():
"""Basic example using ChatLangchain with OpenAI through LangChain."""
# Create a LangChain model (OpenAI)
langchain_model = ChatOpenAI(
model='gpt-4.1-mini',
temperature=0.1,
)
# Wrap it with ChatLangchain to make it compatible with browser-use
llm = ChatLangchain(chat=langchain_model)
# Create a simple task
task = "Go to google.com and search for 'browser automation with Python'"
# Create and run the agent
agent = Agent(
task=task,
llm=llm,
)
print(f'🚀 Starting task: {task}')
print(f'🤖 Using model: {llm.name} (provider: {llm.provider})')
# Run the agent
history = await agent.run()
print(f'✅ Task completed! Steps taken: {len(history.history)}')
# Print the final result if available
if history.final_result():
print(f'📋 Final result: {history.final_result()}')
return history
if __name__ == '__main__':
print('🌐 Browser-use LangChain Integration Example')
print('=' * 45)
asyncio.run(main())
