mirror of
https://github.com/browser-use/browser-use.git
synced 2026-09-14 19:59:47 +08:00
Saurav Panda
9be28bcea1
Adds bu-2-0-mini-preview as an accepted model id and makes it the constructor default, so a bare ChatBrowserUse() now routes there. bu-2-0 is unchanged: still accepted, still documented as the premium option, and bu-latest still resolves to it. Keeping 'latest' on the stable line means existing callers pinned to that alias do not silently move onto a preview model; only the bare-constructor default moves. Pricing is registered alongside the model so cost tracking does not silently report $0 for what is now the default. This model has no cache discount, so cached reads bill at the input rate. Examples, README and the model reference are updated to the new default. The model reference also claimed bu-latest resolved to bu-1-0, which has not been true since bu-2-0 shipped; corrected here.
52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""
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Generate CSV files with automatic normalization.
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The agent's file system automatically normalizes CSV output using Python's csv module,
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so fields containing commas, quotes, or empty values are properly handled per RFC 4180.
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This means the agent doesn't need to worry about manual quoting — it's fixed at the
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infrastructure level.
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Common LLM mistakes that are auto-corrected:
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- Unquoted fields containing commas (e.g. "San Francisco, CA" without quotes)
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- Unescaped double quotes inside fields
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- Inconsistent empty field handling
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- Stray blank lines
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"""
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import asyncio
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import os
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import sys
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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from dotenv import load_dotenv
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load_dotenv()
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from browser_use import Agent, ChatBrowserUse
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async def main():
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agent = Agent(
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task=(
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'Go to https://en.wikipedia.org/wiki/List_of_largest_cities and extract the top 10 cities. '
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'Create a CSV file called "top_cities.csv" with columns: rank, city name, country, population. '
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'Make sure to include all cities even if some data is missing — leave those cells empty.'
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),
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llm=ChatBrowserUse(model='bu-2-0-mini-preview'),
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)
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history = await agent.run()
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# Check the generated CSV file
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if agent.file_system:
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csv_file = agent.file_system.get_file('top_cities.csv')
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if csv_file:
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print('\nGenerated CSV content:')
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print(csv_file.content)
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print(f'\nFile saved to: {agent.file_system.get_dir() / csv_file.full_name}')
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if __name__ == '__main__':
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asyncio.run(main())
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