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/models/aws.py

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+"""
+AWS Bedrock Examples
+
+This file demonstrates how to use AWS Bedrock models with browser-use.
+We provide two classes:
+1. ChatAnthropicBedrock - Convenience class for Anthropic Claude models
+2. ChatAWSBedrock - General AWS Bedrock client supporting all providers
+
+Requirements:
+- AWS credentials configured via environment variables
+- boto3 installed: pip install boto3
+- Access to AWS Bedrock models in your region
+"""
+
+import asyncio
+
+from browser_use import Agent
+from browser_use.llm import ChatAnthropicBedrock, ChatAWSBedrock
+
+
+async def example_anthropic_bedrock():
+	"""Example using ChatAnthropicBedrock - convenience class for Claude models."""
+	print('🔹 ChatAnthropicBedrock Example')
+
+	# Initialize with Anthropic Claude via AWS Bedrock
+	llm = ChatAnthropicBedrock(
+		model='us.anthropic.claude-sonnet-4-20250514-v1:0',
+		aws_region='us-east-1',
+		temperature=0.7,
+	)
+
+	print(f'Model: {llm.name}')
+	print(f'Provider: {llm.provider}')
+
+	# Create agent
+	agent = Agent(
+		task="Navigate to google.com and search for 'AWS Bedrock pricing'",
+		llm=llm,
+	)
+
+	print("Task: Navigate to google.com and search for 'AWS Bedrock pricing'")
+
+	# Run the agent
+	result = await agent.run(max_steps=2)
+	print(f'Result: {result}')
+
+
+async def example_aws_bedrock():
+	"""Example using ChatAWSBedrock - general client for any Bedrock model."""
+	print('\n🔹 ChatAWSBedrock Example')
+
+	# Initialize with any AWS Bedrock model (using Meta Llama as example)
+	llm = ChatAWSBedrock(
+		model='us.meta.llama4-maverick-17b-instruct-v1:0',
+		aws_region='us-east-1',
+		temperature=0.5,
+	)
+
+	print(f'Model: {llm.name}')
+	print(f'Provider: {llm.provider}')
+
+	# Create agent
+	agent = Agent(
+		task='Go to github.com and find the most popular Python repository',
+		llm=llm,
+	)
+
+	print('Task: Go to github.com and find the most popular Python repository')
+
+	# Run the agent
+	result = await agent.run(max_steps=2)
+	print(f'Result: {result}')
+
+
+async def main():
+	"""Run AWS Bedrock examples."""
+	print('🚀 AWS Bedrock Examples')
+	print('=' * 40)
+
+	print('Make sure you have AWS credentials configured:')
+	print('export AWS_ACCESS_KEY_ID=your_key')
+	print('export AWS_SECRET_ACCESS_KEY=your_secret')
+	print('export AWS_DEFAULT_REGION=us-east-1')
+	print('=' * 40)
+
+	try:
+		# Run both examples
+		await example_aws_bedrock()
+		await example_anthropic_bedrock()
+
+	except Exception as e:
+		print(f'❌ Error: {e}')
+		print('Make sure you have:')
+		print('- Valid AWS credentials configured')
+		print('- Access to AWS Bedrock in your region')
+		print('- boto3 installed: pip install boto3')
+
+
+if __name__ == '__main__':
+	asyncio.run(main())