Author of Gorilla Execution Engine (GoEx) here! The key idea behind GoEx:
1. "Post-facto validation" for assessing LLM actions after execution.
2. "Undo" button and “Damage confinement” abstractions to manage unintended actions & risks!
GoEx (code below) inherently supports Gmail/Slack/Dropbox/Spotify/Github, try it out to build your own LLM agents!
Congratulations on the release! I have interests to integrate concepts of GoEX to my applications. What's some of the main focus for GoEX to improve, and make GoEx enterprise-grade and how far is the system away from getting there?
Congrats!! Such brilliant ideas and amazing work! Can't wait to see it being deployed in more applications. Also, second to what polarbear-c said, a side-by-side comparison with other LLM agent systems would be great!
Very interesting to see GoEX the concept of “post-facto LLM validation," and concept of damage confinement, allowing reversible actions and limiting risk in real-world applications. Can't wait to try out the demos
Curious to see what are the common failure modes that the GoEX have, so that I can understand how the post-facto LLM validation has compared to those of pre-facto LLM validation
Exciting work! Congrats! Hope to see a side-by-side comparison for LLM agent systems to see more clearly the advantages and limitation that GoEX offers.
GoEx (code below) inherently supports Gmail/Slack/Dropbox/Spotify/Github, try it out to build your own LLM agents!
Blog: https://gorilla.cs.berkeley.edu/blogs/10_gorilla_exec_engine... Code: https://github.com/ShishirPatil/gorilla/tree/main/goex