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browser-use-play

v1.0.7

Published

browser use node package, Make websites accessible for AI agents

Readme

browser-use-play

Browser-use-play is a Node.js implementation of the browser-use library, enabling AI agents to control your browser. It provides a simple way to integrate AI agents with your browser and automate tasks.

⚠️ IMPORTANT NOTE ⚠️

The code in this repository is ported from the Python library browser_use, preserve the original API functionality as much as possible. Please do not use it in production environments, it is intended for llm learning purposes only. If you need stable functionality, please visit the original browser-use repository: browser-use.

Usage

To use browser-use-play, you need to have Node.js installed on your system. You can then install the library using npm:

npm install browser-use-play

Requirements:

Node: >=20.0.0

Examples

Chat with your browser using GPT-4

Here are some examples of how to use browser-use-play:

import { ChatOpenAI } from 'browser-use-play';
import { Agent } from 'browser-use-play';

// Initialize LLM
const llm = new ChatOpenAI({
  modelName: 'gpt-4o',
  apiKey: process.env.OPENAI_API_KEY,
  baseUrl: process.env.OPENAI_API_BASE
});

// Initialize agent
const agent = new Agent(
  'Go to hackernews show hn and give me the first  5 posts',
  llm
);
// max_steps=10
await agent.run(10);

Chat with your browser using ollama

Here are some examples of how to use browser-use-play:

import { ChatOllama } from 'browser-use-play';
import { Agent } from 'browser-use-play';

// Initialize LLM
const llm = new ChatOllama({
  modelName: 'qwen2.5:32b',
  apiKey: process.env.OPENAI_API_KEY,
  baseUrl: process.env.OPENAI_API_BASE
});

// Initialize agent
const agent = new Agent(
  'Go to hackernews show hn and give me the first  5 posts',
  llm
);
// max_steps=10
await agent.run(10);

Chat with your browser using ernie4.0

Here are some examples of how to use browser-use-play:

import { ChatQianfan } from 'browser-use-play';
import { Agent } from 'browser-use-play';

// Initialize LLM
const llm = new ChatQianfan({
  modelName: 'ernie-4.0-turbo-128k',
  // model_name: 'deepseek-r1',
  apiKey: process.env.QIANFAN_API_KEY,
  baseUrl: process.env.QIANFAN_API_BASE,
});

// Initialize agent
const agent = new Agent(
  'Go to hackernews show hn and give me the first  5 posts',
  llm,
  {
    useVision: false,
    maxFailures: 2,
    maxActionsPerStep: 1,
    toolCallingMethod:  'raw',
  }
);
// max_steps=10
await agent.run(10);

Environment Variables

To use browser-use-play, you can to set the following environment variables:

  • OPENAI_API_KEY: Your OpenAI API key.
  • OPENAI_API_BASE: Your OpenAI API base url.
  • QIANFAN_API_KEY: Your Qianfan API key.
  • QIANFAN_API_BASE: Your Qianfan API base url.
  • OLLAMA_API_BASE: Your Ollama API base url.

copy .env.example to .env and fill in the variables.

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