chore: import upstream snapshot with attribution

examples/features/csv_file_generation.py

@@ -0,0 +1,51 @@
+"""
+Generate CSV files with automatic normalization.
+
+The agent's file system automatically normalizes CSV output using Python's csv module,
+so fields containing commas, quotes, or empty values are properly handled per RFC 4180.
+This means the agent doesn't need to worry about manual quoting — it's fixed at the
+infrastructure level.
+
+Common LLM mistakes that are auto-corrected:
+- Unquoted fields containing commas (e.g. "San Francisco, CA" without quotes)
+- Unescaped double quotes inside fields
+- Inconsistent empty field handling
+- Stray blank lines
+"""
+
+import asyncio
+import os
+import sys
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from browser_use import Agent, ChatBrowserUse
+
+
+async def main():
+	agent = Agent(
+		task=(
+			'Go to https://en.wikipedia.org/wiki/List_of_largest_cities and extract the top 10 cities. '
+			'Create a CSV file called "top_cities.csv" with columns: rank, city name, country, population. '
+			'Make sure to include all cities even if some data is missing — leave those cells empty.'
+		),
+		llm=ChatBrowserUse(model='bu-2-0'),
+	)
+
+	history = await agent.run()
+
+	# Check the generated CSV file
+	if agent.file_system:
+		csv_file = agent.file_system.get_file('top_cities.csv')
+		if csv_file:
+			print('\nGenerated CSV content:')
+			print(csv_file.content)
+			print(f'\nFile saved to: {agent.file_system.get_dir() / csv_file.full_name}')
+
+
+if __name__ == '__main__':
+	asyncio.run(main())