![LaVague Weekly Update #6](/content/images/size/w2640/2024/06/thumbnail-1--1.png)
LaVague Weekly Update #6
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!
Welcome to our sixth weekly dev update.
Here's what we've been up to:
- 🔒 Safeguards have been added to avoid arbitrary code execution. We now only allow set relevant actions to be performed.
- 🌐 A LaVague Chrome extension POC has been built - keep following our blog for the full release to come.
- 🔍 End-to-end debugging guide added to docs.
🏆 Community PRs merged:
aaronted009
added some missing arguments to ourActionEngine.from_context
method.shawon-majid
added compatibility to passchrome_options
to our drivers.jashuajoy
added an optional argument to ourEvaluators
for custom metrics display in comparison graphs.
📢 Help wanted:
- Test out the Chrome Extension POC and give us your feedback. Instructions to get started with the extension can be found here. Note, full features and UI/UX are not implemented yet.
- Integrate a local video recording option to the
agent.run()
method for easier debugging. - Update the agent to return output of Python Engine directly where there is an output, rather than a regenerated output reproduced by World Model.
For a full list of our help wanted GH issues, follow this link.
Coming soon:
- 🌐 LaVague Chrome extension full release.
- 🏆 LLM & retriever evaluation leaderboard for performance with LaVague to be launched.
- 🐞 Improvements to
Retriever
to deal with some issues found in identifying interactable elements. - 📊 Creation of alternative evaluation based on set actions performed on a small set of popular websites.
Thanks for following our progress and please feel free to reach out to us with any questions or feedback on our Discord!