ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter9/browser-use-rpa/browser-use/examples/file_system/alphabet_earnings.py

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+import asyncio
+import os
+import pathlib
+import shutil
+
+from dotenv import load_dotenv
+
+from browser_use import Agent, ChatOpenAI
+
+load_dotenv()
+
+SCRIPT_DIR = pathlib.Path(os.path.dirname(os.path.abspath(__file__)))
+agent_dir = SCRIPT_DIR / 'alphabet_earnings'
+agent_dir.mkdir(exist_ok=True)
+
+task = """
+Go to https://abc.xyz/assets/cc/27/3ada14014efbadd7a58472f1f3f4/2025q2-alphabet-earnings-release.pdf.
+Read the PDF and save 3 interesting data points in "alphabet_earnings.pdf" and share it with me!
+""".strip('\n')
+
+agent = Agent(
+	task=task,
+	llm=ChatOpenAI(model='o4-mini'),
+	file_system_path=str(agent_dir / 'fs'),
+	flash_mode=True,
+)
+
+
+async def main():
+	await agent.run()
+	input(f'Press Enter to clean the file system at {agent_dir}...')
+	# clean the file system
+	shutil.rmtree(str(agent_dir / 'fs'))
+
+
+if __name__ == '__main__':
+	asyncio.run(main())

chapter9/browser-use-rpa/browser-use/examples/file_system/excel_sheet.py

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+import asyncio
+import os
+import sys
+
+from browser_use.llm.openai.chat import ChatOpenAI
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from browser_use import Agent
+
+llm = ChatOpenAI(model='o4-mini')
+
+
+task = (
+	'Find current stock price of companies Meta and Amazon. Then, make me a CSV file with 2 columns: company name, stock price.'
+)
+
+agent = Agent(task=task, llm=llm)
+
+
+async def main():
+	import time
+
+	start_time = time.time()
+	history = await agent.run()
+	# token usage
+	print(history.usage)
+	end_time = time.time()
+	print(f'Time taken: {end_time - start_time} seconds')
+
+
+if __name__ == '__main__':
+	asyncio.run(main())

chapter9/browser-use-rpa/browser-use/examples/file_system/file_system.py

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+import asyncio
+import os
+import pathlib
+import shutil
+
+from dotenv import load_dotenv
+
+from browser_use import Agent, ChatOpenAI
+
+load_dotenv()
+
+
+SCRIPT_DIR = pathlib.Path(os.path.dirname(os.path.abspath(__file__)))
+agent_dir = SCRIPT_DIR / 'file_system'
+agent_dir.mkdir(exist_ok=True)
+conversation_dir = agent_dir / 'conversations' / 'conversation'
+print(f'Agent logs directory: {agent_dir}')
+
+
+task = """
+Go to https://mertunsall.github.io/posts/post1.html
+Save the title of the article in "data.md"
+Then, use append_file to add the first sentence of the article to "data.md"
+Then, read the file to see its content and make sure it's correct.
+Finally, share the file with me.
+
+NOTE: DO NOT USE extract_structured_data action - everything is visible in browser state.
+""".strip('\n')
+
+llm = ChatOpenAI(model='gpt-4.1-mini')
+
+agent = Agent(
+	task=task,
+	llm=llm,
+	save_conversation_path=str(conversation_dir),
+	file_system_path=str(agent_dir / 'fs'),
+)
+
+
+async def main():
+	agent_history = await agent.run()
+	print(f'Final result: {agent_history.final_result()}', flush=True)
+
+	input('Press Enter to clean the file system...')
+	# clean the file system
+	shutil.rmtree(str(agent_dir / 'fs'))
+
+
+if __name__ == '__main__':
+	asyncio.run(main())