npm install @lmnr-ai/lmnr

import { Laminar as L, LaminarClient } from '@lmnr-ai/lmnr';

// Initialize Laminar with your project API key
L.initialize({ projectApiKey: "YOUR_PROJECT_API_KEY" });

// Create a client instance
const client = new LaminarClient({
  projectApiKey: "YOUR_PROJECT_API_KEY",
});

pip install 'lmnr[all]'

from lmnr import Laminar, LaminarClient

# Initialize Laminar with your project API key
Laminar.initialize(project_api_key="YOUR_PROJECT_API_KEY")

# Create a client instance
client = LaminarClient(project_api_key="YOUR_PROJECT_API_KEY")

import { LaminarClient } from '@lmnr-ai/lmnr';

const client = new LaminarClient({
  projectApiKey: "YOUR_PROJECT_API_KEY",
});

// Execute a browser agent task
async function runBrowserAgent() {
  const response = await client.agent.run({
    prompt: "Search for the latest news about AI, find the most recent article, and summarize it.",
  });

  // Print the final result
  console.log(response.result.content);
}

runBrowserAgent();

from lmnr import LaminarClient

client = LaminarClient(project_api_key="YOUR_PROJECT_API_KEY")

# Execute a browser agent task
response = client.agent.run(
    prompt="Search for the latest news about AI, find the most recent article, and summarize it."
)

# Print the final result
print(response.result.content)

import asyncio
from lmnr import AsyncLaminarClient

async def run_agent():
    client = AsyncLaminarClient(project_api_key="YOUR_PROJECT_API_KEY")
    
    # Execute a browser agent task asynchronously
    response = await client.agent.run(
        prompt="Search for the latest news about AI, find the most recent article, and summarize it."
    )
    
    print(response.result.content)

# Run the async function
asyncio.run(run_agent())