Add Bedrock Support for Browser Use (#196)

* Add bedrock example

* remove extra imports

* Improve Prompt

* Rename file to follow convention

* Delete examples/bedrock_example.py

* Update pyproject.toml for bedrock

examples/bedrock_claude.py

@@ -0,0 +1,59 @@
+"""
+Automated news analysis and sentiment scoring using Bedrock.
+
+@dev Ensure AWS environment variables are set correctly for Bedrock access.
+"""
+
+import os
+import sys
+
+from langchain_aws import ChatBedrock
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+import argparse
+import asyncio
+
+from browser_use import Agent
+from browser_use.browser.browser import Browser, BrowserConfig
+from browser_use.controller.service import Controller
+
+
+def get_llm():
+    return ChatBedrock(
+        model_id="us.anthropic.claude-3-5-sonnet-20241022-v2:0",
+        temperature=0.0,
+        max_tokens=None,
+    )
+
+
+# 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(
+        # chrome_instance_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())

pyproject.toml

@@ -20,6 +20,7 @@ dependencies = [
     "langchain-openai>=0.2.14",
     "langchain-anthropic>=0.3.1",
     "langchain-fireworks>=0.2.5",
+    "langchain-aws>=0.2.10",
     "langchain-google-genai>=2.0.8",
     "pydantic>=2.10.4",
     "python-dotenv>=1.0.1",