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/browser/cloud_browser.py

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+"""
+Simple example of using Browser-Use cloud browser service.
+
+Prerequisites:
+1. Set BROWSER_USE_API_KEY environment variable
+2. Active subscription at https://cloud.browser-use.com
+"""
+
+import asyncio
+
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+from browser_use import Agent, Browser, ChatOpenAI
+
+
+async def main():
+	"""Basic cloud browser example."""
+
+	print('🌤️ Using Browser-Use Cloud Browser')
+
+	# Create agent with cloud browser enabled
+	agent = Agent(
+		task='Go to https://github.com/browser-use/browser-use and find the number of stars',
+		llm=ChatOpenAI(model='gpt-4.1-mini'),
+		browser=Browser(use_cloud=True),  # Enable cloud browser
+	)
+
+	try:
+		result = await agent.run()
+		print(f'✅ Result: {result}')
+	except Exception as e:
+		print(f'❌ Error: {e}')
+		if 'Authentication' in str(e):
+			print(
+				'💡 Set BROWSER_USE_API_KEY environment variable. You can also create an API key at https://cloud.browser-use.com'
+			)
+
+
+if __name__ == '__main__':
+	asyncio.run(main())

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

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+import asyncio
+
+from browser_use import Agent, Browser, ChatOpenAI
+
+# NOTE: This is still experimental, and agents might conflict each other.
+
+
+async def main():
+	# Create 3 separate browser instances
+	browsers = [
+		Browser(
+			user_data_dir=f'./temp-profile-{i}',
+			headless=False,
+		)
+		for i in range(3)
+	]
+
+	# Create 3 agents with different tasks
+	agents = [
+		Agent(
+			task='Search for "browser automation" on Google',
+			browser=browsers[0],
+			llm=ChatOpenAI(model='gpt-4.1-mini'),
+		),
+		Agent(
+			task='Search for "AI agents" on DuckDuckGo',
+			browser=browsers[1],
+			llm=ChatOpenAI(model='gpt-4.1-mini'),
+		),
+		Agent(
+			task='Visit Wikipedia and search for "web scraping"',
+			browser=browsers[2],
+			llm=ChatOpenAI(model='gpt-4.1-mini'),
+		),
+	]
+
+	# Run all agents in parallel
+	tasks = [agent.run() for agent in agents]
+	results = await asyncio.gather(*tasks, return_exceptions=True)
+
+	print('🎉 All agents completed!')
+
+
+if __name__ == '__main__':
+	asyncio.run(main())

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

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+"""
+Key features:
+1. Browser-Use and Playwright sharing the same Chrome instance via CDP
+2. Take actions with Playwright and continue with Browser-Use actions
+3. Let the agent call Playwright functions like screenshot or click on selectors
+"""
+
+import asyncio
+import os
+import subprocess
+import sys
+import tempfile
+
+from pydantic import BaseModel, Field
+
+# Check for required dependencies first - before other imports
+try:
+	import aiohttp  # type: ignore
+	from playwright.async_api import Browser, Page, async_playwright  # type: ignore
+except ImportError as e:
+	print(f'❌ Missing dependencies for this example: {e}')
+	print('This example requires: playwright aiohttp')
+	print('Install with: uv add playwright aiohttp')
+	print('Also run: playwright install chromium')
+	sys.exit(1)
+
+from browser_use import Agent, BrowserSession, ChatOpenAI, Tools
+from browser_use.agent.views import ActionResult
+
+# Global Playwright browser instance - shared between custom actions
+playwright_browser: Browser | None = None
+playwright_page: Page | None = None
+
+
+# Custom action parameter models
+class PlaywrightFillFormAction(BaseModel):
+	"""Parameters for Playwright form filling action."""
+
+	customer_name: str = Field(..., description='Customer name to fill')
+	phone_number: str = Field(..., description='Phone number to fill')
+	email: str = Field(..., description='Email address to fill')
+	size_option: str = Field(..., description='Size option (small/medium/large)')
+
+
+class PlaywrightScreenshotAction(BaseModel):
+	"""Parameters for Playwright screenshot action."""
+
+	filename: str = Field(default='playwright_screenshot.png', description='Filename for screenshot')
+	quality: int | None = Field(default=None, description='JPEG quality (1-100), only for .jpg/.jpeg files')
+
+
+class PlaywrightGetTextAction(BaseModel):
+	"""Parameters for getting text using Playwright selectors."""
+
+	selector: str = Field(..., description='CSS selector to get text from. Use "title" for page title.')
+
+
+async def start_chrome_with_debug_port(port: int = 9222):
+	"""
+	Start Chrome with remote debugging enabled.
+	Returns the Chrome process.
+	"""
+	# Create temporary directory for Chrome user data
+	user_data_dir = tempfile.mkdtemp(prefix='chrome_cdp_')
+
+	# Chrome launch command
+	chrome_paths = [
+		'/Applications/Google Chrome.app/Contents/MacOS/Google Chrome',  # macOS
+		'/usr/bin/google-chrome',  # Linux
+		'/usr/bin/chromium-browser',  # Linux Chromium
+		'chrome',  # Windows/PATH
+		'chromium',  # Generic
+	]
+
+	chrome_exe = None
+	for path in chrome_paths:
+		if os.path.exists(path) or path in ['chrome', 'chromium']:
+			try:
+				# Test if executable works
+				test_proc = await asyncio.create_subprocess_exec(
+					path, '--version', stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL
+				)
+				await test_proc.wait()
+				chrome_exe = path
+				break
+			except Exception:
+				continue
+
+	if not chrome_exe:
+		raise RuntimeError('❌ Chrome not found. Please install Chrome or Chromium.')
+
+	# Chrome command arguments
+	cmd = [
+		chrome_exe,
+		f'--remote-debugging-port={port}',
+		f'--user-data-dir={user_data_dir}',
+		'--no-first-run',
+		'--no-default-browser-check',
+		'--disable-extensions',
+		'about:blank',  # Start with blank page
+	]
+
+	# Start Chrome process
+	process = await asyncio.create_subprocess_exec(*cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
+
+	# Wait for Chrome to start and CDP to be ready
+	cdp_ready = False
+	for _ in range(20):  # 20 second timeout
+		try:
+			async with aiohttp.ClientSession() as session:
+				async with session.get(
+					f'http://localhost:{port}/json/version', timeout=aiohttp.ClientTimeout(total=1)
+				) as response:
+					if response.status == 200:
+						cdp_ready = True
+						break
+		except Exception:
+			pass
+		await asyncio.sleep(1)
+
+	if not cdp_ready:
+		process.terminate()
+		raise RuntimeError('❌ Chrome failed to start with CDP')
+
+	return process
+
+
+async def connect_playwright_to_cdp(cdp_url: str):
+	"""
+	Connect Playwright to the same Chrome instance Browser-Use is using.
+	This enables custom actions to use Playwright functions.
+	"""
+	global playwright_browser, playwright_page
+
+	playwright = await async_playwright().start()
+	playwright_browser = await playwright.chromium.connect_over_cdp(cdp_url)
+
+	# Get or create a page
+	if playwright_browser and playwright_browser.contexts and playwright_browser.contexts[0].pages:
+		playwright_page = playwright_browser.contexts[0].pages[0]
+	elif playwright_browser:
+		context = await playwright_browser.new_context()
+		playwright_page = await context.new_page()
+
+
+# Create custom tools that use Playwright functions
+tools = Tools()
+
+
+@tools.registry.action(
+	"Fill out a form using Playwright's precise form filling capabilities. This uses Playwright selectors for reliable form interaction.",
+	param_model=PlaywrightFillFormAction,
+)
+async def playwright_fill_form(params: PlaywrightFillFormAction, browser_session: BrowserSession):
+	"""
+	Custom action that uses Playwright to fill forms with high precision.
+	This demonstrates how to create Browser-Use actions that leverage Playwright's capabilities.
+	"""
+	try:
+		if not playwright_page:
+			return ActionResult(error='Playwright not connected. Run setup first.')
+
+		# Filling form with Playwright's precise selectors
+
+		# Wait for form to be ready and fill basic fields
+		await playwright_page.wait_for_selector('input[name="custname"]', timeout=10000)
+		await playwright_page.fill('input[name="custname"]', params.customer_name)
+		await playwright_page.fill('input[name="custtel"]', params.phone_number)
+		await playwright_page.fill('input[name="custemail"]', params.email)
+
+		# Handle size selection - check if it's a select dropdown or radio buttons
+		size_select = playwright_page.locator('select[name="size"]')
+		size_radio = playwright_page.locator(f'input[name="size"][value="{params.size_option}"]')
+
+		if await size_select.count() > 0:
+			# It's a select dropdown
+			await playwright_page.select_option('select[name="size"]', params.size_option)
+		elif await size_radio.count() > 0:
+			# It's radio buttons
+			await playwright_page.check(f'input[name="size"][value="{params.size_option}"]')
+		else:
+			raise ValueError(f'Could not find size input field for value: {params.size_option}')
+
+		# Get form data to verify it was filled
+		form_data = {}
+		form_data['name'] = await playwright_page.input_value('input[name="custname"]')
+		form_data['phone'] = await playwright_page.input_value('input[name="custtel"]')
+		form_data['email'] = await playwright_page.input_value('input[name="custemail"]')
+
+		# Get size value based on input type
+		if await size_select.count() > 0:
+			form_data['size'] = await playwright_page.input_value('select[name="size"]')
+		else:
+			# For radio buttons, find the checked one
+			checked_radio = playwright_page.locator('input[name="size"]:checked')
+			if await checked_radio.count() > 0:
+				form_data['size'] = await checked_radio.get_attribute('value')
+			else:
+				form_data['size'] = 'none selected'
+
+		success_msg = f'✅ Form filled successfully with Playwright: {form_data}'
+
+		return ActionResult(
+			extracted_content=success_msg, include_in_memory=True, long_term_memory=f'Filled form with: {form_data}'
+		)
+
+	except Exception as e:
+		error_msg = f'❌ Playwright form filling failed: {str(e)}'
+		return ActionResult(error=error_msg)
+
+
+@tools.registry.action(
+	"Take a screenshot using Playwright's screenshot capabilities with high quality and precision.",
+	param_model=PlaywrightScreenshotAction,
+)
+async def playwright_screenshot(params: PlaywrightScreenshotAction, browser_session: BrowserSession):
+	"""
+	Custom action that uses Playwright's advanced screenshot features.
+	"""
+	try:
+		if not playwright_page:
+			return ActionResult(error='Playwright not connected. Run setup first.')
+
+		# Taking screenshot with Playwright
+
+		# Use Playwright's screenshot with full page capture
+		screenshot_kwargs = {'path': params.filename, 'full_page': True}
+
+		# Add quality parameter only for JPEG files
+		if params.quality is not None and params.filename.lower().endswith(('.jpg', '.jpeg')):
+			screenshot_kwargs['quality'] = params.quality
+
+		await playwright_page.screenshot(**screenshot_kwargs)
+
+		success_msg = f'✅ Screenshot saved as {params.filename} using Playwright'
+
+		return ActionResult(
+			extracted_content=success_msg, include_in_memory=True, long_term_memory=f'Screenshot saved: {params.filename}'
+		)
+
+	except Exception as e:
+		error_msg = f'❌ Playwright screenshot failed: {str(e)}'
+		return ActionResult(error=error_msg)
+
+
+@tools.registry.action(
+	"Extract text from elements using Playwright's powerful CSS selectors and XPath support.", param_model=PlaywrightGetTextAction
+)
+async def playwright_get_text(params: PlaywrightGetTextAction, browser_session: BrowserSession):
+	"""
+	Custom action that uses Playwright's advanced text extraction with CSS selectors and XPath.
+	"""
+	try:
+		if not playwright_page:
+			return ActionResult(error='Playwright not connected. Run setup first.')
+
+		# Extracting text with Playwright selectors
+
+		# Handle special selectors
+		if params.selector.lower() == 'title':
+			# Use page.title() for title element
+			text_content = await playwright_page.title()
+			result_data = {
+				'selector': 'title',
+				'text_content': text_content,
+				'inner_text': text_content,
+				'tag_name': 'TITLE',
+				'is_visible': True,
+			}
+		else:
+			# Use Playwright's robust element selection and text extraction
+			element = playwright_page.locator(params.selector).first
+
+			if await element.count() == 0:
+				error_msg = f'❌ No element found with selector: {params.selector}'
+				return ActionResult(error=error_msg)
+
+			text_content = await element.text_content()
+			inner_text = await element.inner_text()
+
+			# Get additional element info
+			tag_name = await element.evaluate('el => el.tagName')
+			is_visible = await element.is_visible()
+
+			result_data = {
+				'selector': params.selector,
+				'text_content': text_content,
+				'inner_text': inner_text,
+				'tag_name': tag_name,
+				'is_visible': is_visible,
+			}
+
+		success_msg = f'✅ Extracted text using Playwright: {result_data}'
+
+		return ActionResult(
+			extracted_content=str(result_data),
+			include_in_memory=True,
+			long_term_memory=f'Extracted from {params.selector}: {result_data["text_content"]}',
+		)
+
+	except Exception as e:
+		error_msg = f'❌ Playwright text extraction failed: {str(e)}'
+		return ActionResult(error=error_msg)
+
+
+async def main():
+	"""
+	Main function demonstrating Browser-Use + Playwright integration with custom actions.
+	"""
+	print('🚀 Advanced Playwright + Browser-Use Integration with Custom Actions')
+
+	chrome_process = None
+	try:
+		# Step 1: Start Chrome with CDP debugging
+		chrome_process = await start_chrome_with_debug_port()
+		cdp_url = 'http://localhost:9222'
+
+		# Step 2: Connect Playwright to the same Chrome instance
+		await connect_playwright_to_cdp(cdp_url)
+
+		# Step 3: Create Browser-Use session connected to same Chrome
+		browser_session = BrowserSession(cdp_url=cdp_url)
+
+		# Step 4: Create AI agent with our custom Playwright-powered tools
+		agent = Agent(
+			task="""
+			Please help me demonstrate the integration between Browser-Use and Playwright:
+			
+			1. First, navigate to https://httpbin.org/forms/post
+			2. Use the 'playwright_fill_form' action to fill the form with these details:
+			   - Customer name: "Alice Johnson"
+			   - Phone: "555-9876"
+			   - Email: "alice@demo.com"
+			   - Size: "large"
+			3. Take a screenshot using the 'playwright_screenshot' action and save it as "form_demo.png"
+			4. Extract the title of the page using 'playwright_get_text' action with selector "title"
+			5. Finally, submit the form and tell me what happened
+			
+			This demonstrates how Browser-Use AI can orchestrate tasks while using Playwright's precise capabilities for specific operations.
+			""",
+			llm=ChatOpenAI(model='gpt-4.1-mini'),
+			tools=tools,  # Our custom tools with Playwright actions
+			browser_session=browser_session,
+		)
+
+		print('🎯 Starting AI agent with custom Playwright actions...')
+
+		# Step 5: Run the agent - it will use both Browser-Use actions and our custom Playwright actions
+		result = await agent.run()
+
+		# Keep browser open briefly to see results
+		print(f'✅ Integration demo completed! Result: {result}')
+		await asyncio.sleep(2)  # Brief pause to see results
+
+	except Exception as e:
+		print(f'❌ Error: {e}')
+		raise
+
+	finally:
+		# Clean up resources
+		if playwright_browser:
+			await playwright_browser.close()
+
+		if chrome_process:
+			chrome_process.terminate()
+			try:
+				await asyncio.wait_for(chrome_process.wait(), 5)
+			except TimeoutError:
+				chrome_process.kill()
+
+		print('✅ Cleanup complete')
+
+
+if __name__ == '__main__':
+	# Run the advanced integration demo
+	asyncio.run(main())

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

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+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, Browser, ChatOpenAI
+
+# Connect to your existing Chrome browser
+browser = Browser(
+	executable_path='/Applications/Google Chrome.app/Contents/MacOS/Google Chrome',
+	user_data_dir='~/Library/Application Support/Google/Chrome',
+	profile_directory='Default',
+)
+
+
+async def main():
+	agent = Agent(
+		llm=ChatOpenAI(model='gpt-4.1-mini'),
+		# Google blocks this approach, so we use a different search engine
+		task='Visit https://duckduckgo.com and search for "browser-use founders"',
+		browser=browser,
+	)
+	await agent.run()
+
+
+if __name__ == '__main__':
+	asyncio.run(main())

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

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+"""
+Simple demonstration of the CDP feature.
+
+To test this locally, follow these steps:
+1. Find the chrome executable file.
+2. On mac by default, the chrome is in `/Applications/Google Chrome.app/Contents/MacOS/Google Chrome`
+3. Add the following argument to the shortcut:
+   `--remote-debugging-port=9222`
+4. Open a web browser and navigate to `http://localhost:9222/json/version` to verify that the Remote Debugging Protocol (CDP) is running.
+5. Launch this example.
+
+Full command Mac:
+"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" --remote-debugging-port=9222
+
+@dev You need to set the `OPENAI_API_KEY` environment variable before proceeding.
+"""
+
+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, Tools
+from browser_use.browser import BrowserProfile, BrowserSession
+from browser_use.llm import ChatOpenAI
+
+browser_session = BrowserSession(browser_profile=BrowserProfile(cdp_url='http://localhost:9222', is_local=True))
+tools = Tools()
+
+
+async def main():
+	agent = Agent(
+		task='Visit https://duckduckgo.com and search for "browser-use founders"',
+		lllm=ChatOpenAI(model='gpt-4.1-mini'),
+		tools=tools,
+		browser_session=browser_session,
+	)
+
+	await agent.run()
+	await browser_session.kill()
+
+	input('Press Enter to close...')
+
+
+if __name__ == '__main__':
+	asyncio.run(main())