Spaces:
Sleeping
Sleeping
File size: 1,427 Bytes
d7b3d84 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
"""
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 browser_use import Agent
from examples.models.langchain.chat import ChatLangchain
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())
|