did they stick with the image-based compaction (when vision is supported i guess)? It boggled my mind: "snapcompact, which archives older history into dense images for a vision-capable model"
For obvious reasons it underperforms on models that hide their reasoning chain. Other than that it works fine for a non-customizable method. But properly customized handoff is still better.