This release is absolutely stacked. I want to call out a sleeper feature: Interpreters Imagine your cloud agent gets a 10k-row CSV of suppor…

This release is absolutely stacked. I want to call out a sleeper feature: Interpreters Imagine your cloud agent gets a 10k-row CSV of support tickets. Without a code runtime, the model is stuck reasoning over chunks of raw rows in context With an interpreter, it can write code to do this analysis in one turn: parse the CSV, group tickets by 𝚎𝚛𝚛𝚘𝚛_𝚌𝚘𝚍𝚎, count each group, sort by frequency, sample 3 ticket bodies from each group, and finally return a small table Interpreters handle a lot of sandbox-shaped jobs with a lighter-weight runtime that lives right inside the agent loop, no bash required

Source: Harrison Chase (X) | 2026-05-19