LaVague Update #7
LaVague: A Large Action Model framework for building Web Agents

LaVague Update #7

Welcome to our weekly updates, where we announce the latest news on our open-source framework for Web Agents & share what's coming next and how you can get involved!

Laura Yie

Welcome to our 7th dev update.

Over the past couple of weeks, we have:

  • Improved overall performance & can now handle iframes and multiple tabs
  • 🔧 Added some basic debugging tools
  • 🧪 Added a LaVague test runner tool
  • 🚀 Switched action objects to yaml format to gain a small performance boost + added extractor functions to extract generated yaml, json & Python code
  • 🪙 Documented the TokenCounter module

🏅 Community PRs merged:

📢 Help wanted:

This is just a selection of help-wanted issues, see the full list here.

🛤️ Coming soon:

  • More performance improvements!
  • Launch of the LaVague chrome extension
  • Improvements to the dataset pipeline with local HTML for reproducible actions
  • Documentation updates & additions
  • Handling of ambiguous elements by adding expanded context where needed
  • Add LLM output format validation for json, Python & yaml outputs
  • Start of work on an agent hub for sharing agents

If you have any questions, feedback or want to see how you can get involved in the project, join us on Discord.