Bringing Web Accessibility to AI Agents

$WEBAGFUN is a cutting-edge framework designed to simplify website interactions for AI agents. By extracting interactive elements and automating browser behavior, it enables seamless workflows for AI agents. With a focus on customization, performance, and reliability, $WEBAGFUN is transforming the way AI interacts with the web.

How It Works

Browser Configuration

The BrowserConfig class allows full control over browser behavior and connection settings. Customize headless operation, proxy configurations, security settings, and more.

Example: (Python)
from browser_use import BrowserConfig

config = BrowserConfig(
    headless=False,
    disable_security=True
)

Key Settings:

headless:

Runs the browser without a visible UI.

disable_security:

Disables browser security for enhanced functionality.

proxy:

Allows external proxy service integration.

wss_url:

Connects to cloud-based browser providers for increased reliability.

chrome_instance_path:

Links to local Chrome installations for saved states.

How It Works

Browser Context Management

To optimize stability, $WEBAGFUN is transitioning to a “1 agent, 1 browser, 1 context” model. The BrowserContextConfig class provides granular control over individual contexts.

Example: (Python)
from browser_use.browser.context import BrowserContextConfig

config = BrowserContextConfig(
    cookies_file="path/to/cookies.json",
    wait_for_network_idle_page_load_time=3.0,
    browser_window_size={'width': 1280, 'height': 1100}
)

Key Features:

Page Load Settings:

Manage wait times for page states, including minimum, idle, and maximum durations.

Display Options:

Configure browser window dimensions for optimal UI interaction.

Debugging:

Save recordings and traces to analyze workflows.

Core Features

Vision + HTML Extraction:

Combines visual recognition with structural parsing for complete web interaction.

Multi-Tab Management:

Automates parallel tasks across multiple tabs.

Element Tracking:

Tracks and replicates XPath-based interactions for consistent agent behavior.

Custom Actions:

Integrate file storage, notifications, database operations, and manual input.

Self-Correcting Workflows:

Handles errors dynamically for uninterrupted operations.

Universal LLM Support:

Works with all major LLMs, including GPT-4, Claude 3, and Llama 2.

Future Enhancements

Streamlined context management for better agent stability.

Expanded support for advanced debugging and monitoring tools.

Enhanced proxy configurations to improve reliability for restricted sites.

Get Started

$WEBAGFUN is designed to make AI integration with websites straightforward and efficient. Build scalable, robust agents with ease.

Install now: (Bash)
pip install webag-ai

Bringing Web Accessibility to AI Agents.