AI generated

Really useful, and thanks for putting agentic rows in the eval. One thing I'd love to see is the tail, not just the mean. For agent use the failure that hurts is one bad token inside a tool call (a wrong key, a dropped bracket), and a mean KLD can sit near zero while the p99 is where those live. That could also explain reports like the missed tool calls at q8 above, even when the average says lossless. A split of KLD on structural tokens (JSON keys, brackets, line numbers) vs prose would make the 8-bit call much easier to trust for coding agents. Did you look at p99 or max KLD per row, or only the averages?