Lucidic AI: A Tool for Debugging and Evaluating AI Agents in Production
By
AbhinavX
Hand-rolled, kettle-boiled, baked to perfection. Worth every minute at the bakery.
Summary
Lucidic AI, developed by Abhinav, Andy, and Jeremy, is an AI agent interpretability tool designed to help users observe, debug, and evaluate AI agents in production. The tool integrates easily with a single line of code, providing features like trace logs, cumulative trends, custom evaluations, and indexed metadata for debugging. A demo video is available for further insight.
Key quotes
· 4 pulledLucidic AI is an AI agent interpretability tool to help observe/debug AI agents.
Getting started is easy with just one line of code. You just call lai.init() in your agent code and log into the dashboard.
You can see traces of each run, cumulative trends across sessions, built-in or custom evals, and grouped failure modes.
Call lai.create_step() with any metadata you want, memory snapshots, tool outputs, stateful info, and we'll index it for debugging.
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