lmnr-ai/index: SOTA Open-Source Browser Agent for autonomously performing complex tasks on the web

from lmnr import Laminar, AsyncLaminarClient
import asyncio
# you can also set LMNR_PROJECT_API_KEY environment variable

# Initialize tracing
Laminar.initialize(project_api_key="your_api_key")

# Initialize the client
client = AsyncLaminarClient(project_api_key="your_api_key")

async def main():

    response = await client.agent.run(
        prompt="Navigate to news.ycombinator.com, find a post about AI, and summarize it"
    )

    print(response.result)
    
if __name__ == "__main__":
    asyncio.run(main())

import asyncio
from index import Agent, AnthropicProvider

async def main():

    llm = AnthropicProvider(
            model="claude-3-7-sonnet-20250219",
            enable_thinking=True, 
            thinking_token_budget=2048)
    # llm = OpenAIProvider(model="o4-mini") you can also use OpenAI models

    agent = Agent(llm=llm)

    output = await agent.run(
        prompt="Navigate to news.ycombinator.com, find a post about AI, and summarize it"
    )
    
    print(output.result)
    
if __name__ == "__main__":
    asyncio.run(main())

async for chunk in agent.run_stream(
    prompt="Navigate to news.ycombinator.com, find a post about AI, and summarize it"
):
    print(chunk)

from lmnr import Laminar

Laminar.initialize(project_api_key="your_api_key")

import asyncio
from index import Agent, AnthropicProvider, BrowserConfig

async def main():
    # Configure browser to connect to an existing Chrome DevTools Protocol endpoint
    browser_config = BrowserConfig(
        cdp_url=""
    )
    
    llm = AnthropicProvider(model="claude-3-7-sonnet-20250219", enable_thinking=True, thinking_token_budget=2048)
    
    agent = Agent(llm=llm, browser_config=browser_config)
    
    output = await agent.run(
        prompt="Navigate to news.ycombinator.com and find the top story"
    )
    
    print(output.result)
    
if __name__ == "__main__":
    asyncio.run(main())

import asyncio
from index import Agent, AnthropicProvider, BrowserConfig

async def main():
    # Configure browser with custom viewport size
    browser_config = BrowserConfig(
        viewport_size={"width": 1200, "height": 900}
    )
    
    llm = AnthropicProvider(model="claude-3-7-sonnet-20250219")
    
    agent = Agent(llm=llm, browser_config=browser_config)
    
    output = await agent.run(
        "Navigate to a responsive website and capture how it looks in full HD resolution"
    )
    
    print(output.result)
    
if __name__ == "__main__":
    asyncio.run(main())