Feat: LLM compression efficiency metrics

[DanielusG]

I was thinking, what if we logged every read and grep by the model, and after compression, observed when the model re-reads that file? This would indicate that it actually needed it but pruned it by mistake, and is now forced to re-read it. This would help determine which model is wiser in its use of compression without shooting itself in the foot.