LaVague Weekly Update #2

Welcome to our second weekly update!

Here’s what we’ve been up to this week...

🚀 Adding new engines

We launched a new three-engine approach to improve performance and efficiency. The World Model can now decide if the next instruction should be handled by the:

• 🚄 Action Engine: Generates and executes Selenium code to perform an action on a web page
• 🐍 Python Engine: Generates and executes code for tasks that do not involve navigating or interacting with a web page, such as extracting information from a web page
• 🕹️ Navigation Control: Performs frequently required navigation tasks without needing to make any extra LLM calls. So far, we cover scroll up, scroll down & wait

📑 Adding new use cases & examples

We've added new use cases and examples to our docs, including an end-to-end example where we show how to build an agent that can apply to jobs with a PNG of your resume using open-source frameworks!

🛤️ Coming soon:

• 🌊 Join us at our Webinar next Thursday!
• We'll be launching our interactive Gradio interface for Web Agents.
• More documentation!
• An Eval module for evaluating performance.

📢 Help wanted:

• Come and share or discuss new use cases with us!
• Test out LaVague and open issues on our GitHub repo if you spot any bugs or have a new feature request.

Hop onto our Discord to chat with us about LaVague and thanks for following our journey!

See you next time!