> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openbrowser.me/llms.txt
> Use this file to discover all available pages before exploring further.

# LLM Quickstart

> Get started with OpenBrowser using your favorite AI coding assistant

## Using AI Coding Assistants

1. Copy all content [from here](https://billy-enrizky.github.io/openbrowser-ai/llms-full.txt) (\~32k tokens)
2. Paste it into your favorite coding agent (Cursor, Claude, ChatGPT...).

## Alternative Methods

### Option 1: Direct Documentation Link

Point your AI assistant to the OpenBrowser documentation:

```
https://docs.openbrowser.me
```

### Option 2: GitHub Repository

Share the repository for full context:

```
https://github.com/billy-enrizky/openbrowser-ai
```

### Option 3: Quick Reference

Copy this quick reference for your AI assistant:

```markdown theme={null}
# OpenBrowser Quick Reference

## Installation
pip install openbrowser-ai

## Basic Usage
from openbrowser import Agent, Browser, ChatGoogle

agent = Agent(
    task="Your task here",
    llm=ChatGoogle(),  # or ChatOpenAI(), ChatAnthropic()
)
await agent.run()

## Key Classes
- Agent: Main automation agent
- Browser: Browser instance wrapper  
- BrowserSession: Low-level browser control
- BrowserProfile: Browser configuration

## Supported LLMs
- ChatGoogle (Gemini)
- ChatOpenAI (GPT-4)
- ChatAnthropic (Claude)
- ChatGroq, ChatOllama, ChatAWSBedrock, ChatAzureOpenAI
```

Then ask your AI assistant questions like:

* "How do I configure a proxy in OpenBrowser?"
* "Show me how to extract data from a webpage"
* "How do I use vision mode?"