[Add] browser-use and main.py

browser-use/examples/models/README.md

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+# Gemini
+Detailed video on how to integrate browser-use with Gemini: https://www.youtube.com/watch?v=JluZiWBV_Tc

browser-use/examples/models/_ollama.py

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+# Optional: Disable telemetry
+# os.environ["ANONYMIZED_TELEMETRY"] = "false"
+
+# Optional: Set the OLLAMA host to a remote server
+# os.environ["OLLAMA_HOST"] = "http://x.x.x.x:11434"
+
+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 langchain_ollama import ChatOllama
+
+from browser_use import Agent
+from browser_use.agent.views import AgentHistoryList
+
+
+async def run_search() -> AgentHistoryList:
+	agent = Agent(
+		task="Search for a 'browser use' post on the r/LocalLLaMA subreddit and open it.",
+		llm=ChatOllama(
+			model='qwen2.5:32b-instruct-q4_K_M',
+			num_ctx=32000,
+		),
+	)
+
+	result = await agent.run()
+	return result
+
+
+async def main():
+	result = await run_search()
+	print('\n\n', result)
+
+
+if __name__ == '__main__':
+	asyncio.run(main())

browser-use/examples/models/azure_openai.py

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+"""
+Simple try of the agent.
+
+@dev You need to add AZURE_OPENAI_KEY and AZURE_OPENAI_ENDPOINT to your environment variables.
+"""
+
+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 langchain_openai import AzureChatOpenAI
+
+from browser_use import Agent
+
+# Retrieve Azure-specific environment variables
+azure_openai_api_key = os.getenv('AZURE_OPENAI_KEY')
+azure_openai_endpoint = os.getenv('AZURE_OPENAI_ENDPOINT')
+
+if not azure_openai_api_key or not azure_openai_endpoint:
+	raise ValueError('AZURE_OPENAI_KEY or AZURE_OPENAI_ENDPOINT is not set')
+
+# Initialize the Azure OpenAI client
+llm = AzureChatOpenAI(
+	model_name='gpt-4o',
+	openai_api_key=azure_openai_api_key,
+	azure_endpoint=azure_openai_endpoint,  # Corrected to use azure_endpoint instead of openai_api_base
+	deployment_name='gpt-4o',  # Use deployment_name for Azure models
+	api_version='2024-08-01-preview',  # Explicitly set the API version here
+)
+
+agent = Agent(
+	task='Go to amazon.com, search for laptop, sort by best rating, and give me the price of the first result',
+	llm=llm,
+	enable_memory=True,
+)
+
+
+async def main():
+	await agent.run(max_steps=10)
+	input('Press Enter to continue...')
+
+
+asyncio.run(main())

browser-use/examples/models/bedrock_claude.py

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+"""
+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())

browser-use/examples/models/claude-3.7-sonnet.py

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+"""
+Simple script that runs the task of opening amazon and searching.
+@dev Ensure we have a `ANTHROPIC_API_KEY` variable in our `.env` file.
+"""
+
+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 langchain_anthropic import ChatAnthropic
+
+from browser_use import Agent
+
+llm = ChatAnthropic(model_name='claude-3-7-sonnet-20250219', temperature=0.0, timeout=30, stop=None)
+
+agent = Agent(
+	task='Go to amazon.com, search for laptop, sort by best rating, and give me the price of the first result',
+	llm=llm,
+)
+
+
+async def main():
+	await agent.run(max_steps=10)
+
+
+asyncio.run(main())

browser-use/examples/models/deepseek-r1.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 langchain_deepseek import ChatDeepSeek
+from pydantic import SecretStr
+
+from browser_use import Agent
+
+api_key = os.getenv('DEEPSEEK_API_KEY', '')
+if not api_key:
+	raise ValueError('DEEPSEEK_API_KEY is not set')
+
+
+async def run_search():
+	agent = Agent(
+		task=('go to amazon.com, search for laptop, sort by best rating, and give me the price of the first result'),
+		llm=ChatDeepSeek(
+			base_url='https://api.deepseek.com/v1',
+			model='deepseek-reasoner',
+			api_key=SecretStr(api_key),
+		),
+		use_vision=False,
+		max_failures=2,
+		max_actions_per_step=1,
+	)
+
+	await agent.run()
+
+
+if __name__ == '__main__':
+	asyncio.run(run_search())

browser-use/examples/models/deepseek.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 langchain_deepseek import ChatDeepSeek
+from pydantic import SecretStr
+
+from browser_use import Agent
+
+api_key = os.getenv('DEEPSEEK_API_KEY', '')
+if not api_key:
+	raise ValueError('DEEPSEEK_API_KEY is not set')
+
+
+async def run_search():
+	agent = Agent(
+		task=(
+			'1. Go to https://www.reddit.com/r/LocalLLaMA '
+			"2. Search for 'browser use' in the search bar"
+			'3. Click on first result'
+			'4. Return the first comment'
+		),
+		llm=ChatDeepSeek(
+			base_url='https://api.deepseek.com/v1',
+			model='deepseek-chat',
+			api_key=SecretStr(api_key),
+		),
+		use_vision=False,
+	)
+
+	await agent.run()
+
+
+if __name__ == '__main__':
+	asyncio.run(run_search())

browser-use/examples/models/gemini.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 langchain_google_genai import ChatGoogleGenerativeAI
+from pydantic import SecretStr
+
+from browser_use import Agent, BrowserConfig
+from browser_use.browser.browser import Browser
+from browser_use.browser.context import BrowserContextConfig
+
+api_key = os.getenv('GOOGLE_API_KEY')
+if not api_key:
+	raise ValueError('GOOGLE_API_KEY is not set')
+
+llm = ChatGoogleGenerativeAI(model='gemini-2.0-flash-exp', api_key=SecretStr(api_key))
+
+browser = Browser(
+	config=BrowserConfig(
+		new_context_config=BrowserContextConfig(
+			viewport_expansion=0,
+		)
+	)
+)
+
+
+async def run_search():
+	agent = Agent(
+		task='Go to amazon.com, search for laptop, sort by best rating, and give me the price of the first result',
+		llm=llm,
+		max_actions_per_step=4,
+		browser=browser,
+	)
+
+	await agent.run(max_steps=25)
+
+
+if __name__ == '__main__':
+	asyncio.run(run_search())

browser-use/examples/models/gpt-4o.py

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+"""
+Simple try of the agent.
+
+@dev You need to add OPENAI_API_KEY to your environment variables.
+"""
+
+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 langchain_openai import ChatOpenAI
+
+from browser_use import Agent
+
+llm = ChatOpenAI(model='gpt-4o')
+agent = Agent(
+	task='Go to amazon.com, search for laptop, sort by best rating, and give me the price of the first result',
+	llm=llm,
+)
+
+
+async def main():
+	await agent.run(max_steps=10)
+	input('Press Enter to continue...')
+
+
+asyncio.run(main())

browser-use/examples/models/grok.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 langchain_openai import ChatOpenAI
+from pydantic import SecretStr
+
+from browser_use import Agent
+
+api_key = os.getenv('GROK_API_KEY', '')
+if not api_key:
+	raise ValueError('GROK_API_KEY is not set')
+
+
+async def run_search():
+	agent = Agent(
+		task=(
+			'1. Go to https://www.amazon.com'
+			'2. Search for "wireless headphones"'
+			'3. Filter by "Highest customer rating"'
+			'4. Return the title and price of the first product'
+		),
+		llm=ChatOpenAI(
+			base_url='https://api.x.ai/v1',
+			model='grok-3-beta',
+			api_key=SecretStr(api_key),
+		),
+		use_vision=False,
+	)
+
+	await agent.run()
+
+
+if __name__ == '__main__':
+	asyncio.run(run_search())

browser-use/examples/models/novita.py

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+"""
+Simple try of the agent.
+
+@dev You need to add NOVITA_API_KEY to your environment variables.
+"""
+
+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 langchain_openai import ChatOpenAI
+from pydantic import SecretStr
+
+from browser_use import Agent
+
+api_key = os.getenv('NOVITA_API_KEY', '')
+if not api_key:
+	raise ValueError('NOVITA_API_KEY is not set')
+
+
+async def run_search():
+	agent = Agent(
+		task=(
+			'1. Go to https://www.reddit.com/r/LocalLLaMA '
+			"2. Search for 'browser use' in the search bar"
+			'3. Click on first result'
+			'4. Return the first comment'
+		),
+		llm=ChatOpenAI(
+			base_url='https://api.novita.ai/v3/openai',
+			model='deepseek/deepseek-v3-0324',
+			api_key=SecretStr(api_key),
+		),
+		use_vision=False,
+	)
+
+	await agent.run()
+
+
+if __name__ == '__main__':
+	asyncio.run(run_search())

browser-use/examples/models/qwen.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 langchain_ollama import ChatOllama
+
+from browser_use import Agent
+
+
+async def run_search():
+	agent = Agent(
+		task=(
+			"1. Go to https://www.reddit.com/r/LocalLLaMA2. Search for 'browser use' in the search bar3. Click search4. Call done"
+		),
+		llm=ChatOllama(
+			# model='qwen2.5:32b-instruct-q4_K_M',
+			# model='qwen2.5:14b',
+			model='qwen2.5:latest',
+			num_ctx=128000,
+		),
+		max_actions_per_step=1,
+	)
+
+	await agent.run()
+
+
+if __name__ == '__main__':
+	asyncio.run(run_search())