Streaming

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

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

async function runStreamingBrowserAgent() {
  const response = await client.agent.run({
    prompt: "Lookup the current weather for New York, London, and Tokyo and compare them.",
  });
  
  for await (const chunk of response) {
    if (chunk.chunkType === 'step') {
      // Print step-by-step actions as they happen
      console.log(`Step: ${chunk.summary}`);
    } else if (chunk.chunkType === 'finalOutput') {
      // Print the final result
      console.log(`Final output: ${chunk.content.result.content}`);
    }
  }
}

runStreamingBrowserAgent();

from lmnr import LaminarClient

client = LaminarClient(project_api_key="YOUR_PROJECT_API_KEY")

# Stream the browser agent's execution
for chunk in client.agent.run(
    prompt="Lookup the current weather for New York, London, and Tokyo and compare them.",
    stream=True
):
    if chunk.chunk_type == 'step':
        # Print step-by-step actions as they happen
        print(f"Step: {chunk.summary}")
    elif chunk.chunk_type == 'finalOutput':
        # Print the final result
        print(f"Final output: {chunk.content.result.content}")

import asyncio
from lmnr import AsyncLaminarClient

async def run_streaming_agent():
    client = AsyncLaminarClient(project_api_key="YOUR_PROJECT_API_KEY")
    
    # Stream the browser agent's execution asynchronously
    async for chunk in await client.agent.run(
        prompt="Lookup the current weather for New York, London, and Tokyo and compare them.",
        stream=True
    ):
        if chunk.chunk_type == 'step':
            print(f"Step: {chunk.summary}")
        elif chunk.chunk_type == 'finalOutput':
            print(f"Final output: {chunk.content.result.content}")

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