Pruning an assistant's response like that would break prompt caching.
replyPrompt caching is probably the single most important thing that people building harnesses think about and yet it's mind share in end users is virtually zero. If you had to think of all the weirdest, most seemingly baffling design decisions in an AI product, the answer to "why" is probably "to not break prompt caching".
Grug says prompt caching just store KV-cache which is sequenced by token. Easy cut it back to just before edit. Then regenerate after is just like prefill but tiny.
replyMaybe so, but pruning is still a useful feature.
replyIf it hurts performance that much, maybe pruning could just hide the text leaving the cache intact?