[Add] browser-use and main.py

browser-use/examples/models/bedrock_claude.py

@@ -0,0 +1,75 @@
+"""
+Automated news analysis and sentiment scoring using Bedrock.
+
+Ensure you have browser-use installed with `examples` extra, i.e. `uv install 'browser-use[examples]'`
+
+@dev Ensure AWS environment variables are set correctly for Bedrock access.
+"""
+
+import argparse
+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()
+
+import boto3
+from botocore.config import Config
+from langchain_aws import ChatBedrockConverse
+
+from browser_use import Agent
+from browser_use.browser.browser import Browser, BrowserConfig
+from browser_use.controller.service import Controller
+
+
+def get_llm():
+	config = Config(retries={'max_attempts': 10, 'mode': 'adaptive'})
+	bedrock_client = boto3.client('bedrock-runtime', region_name='us-east-1', config=config)
+
+	return ChatBedrockConverse(
+		model_id='us.anthropic.claude-3-5-sonnet-20241022-v2:0',
+		temperature=0.0,
+		max_tokens=None,
+		client=bedrock_client,
+	)
+
+
+# Define the task for the agent
+task = (
+	"Visit cnn.com, navigate to the 'World News' section, and identify the latest headline. "
+	'Open the first article and summarize its content in 3-4 sentences. '
+	'Additionally, analyze the sentiment of the article (positive, neutral, or negative) '
+	'and provide a confidence score for the sentiment. Present the result in a tabular format.'
+)
+
+parser = argparse.ArgumentParser()
+parser.add_argument('--query', type=str, help='The query for the agent to execute', default=task)
+args = parser.parse_args()
+
+llm = get_llm()
+
+browser = Browser(
+	config=BrowserConfig(
+		# browser_binary_path='/Applications/Google Chrome.app/Contents/MacOS/Google Chrome',
+	)
+)
+
+agent = Agent(
+	task=args.query,
+	llm=llm,
+	controller=Controller(),
+	browser=browser,
+	validate_output=True,
+)
+
+
+async def main():
+	await agent.run(max_steps=30)
+	await browser.close()
+
+
+asyncio.run(main())