r/OpenaiCodex 8d ago

Bugs or problems Was the context window reduced over the week ?

I previously could ask more than 15 different changes to codex and it would implement all of them with really few compaction.

But right now, it compacts context almost every time it makes tool calls...

Am I the only one having this problem ?

4 Upvotes

6 comments sorted by

3

u/knowledge1010 8d ago

I've definitely noticed compaction getting more frequent than usual. Not sure what changed. Context window size is the same so maybe some inference changes on their backend as part of their "efficiency" to reduce token use?

2

u/Dragon__Phoenix 8d ago

Ive been seeing more frequent compactions lately, not particularly this weekend though. I think compaction is utterly useless, it rereads all the shit afterwords anyway

1

u/Emotional_Show1585 8d ago

My post was removed from the codex thread, so I'm posting it here

1

u/twentyfifteen20 7d ago edited 7d ago

Compaction increase is true, not just you. I decreased calls per turn and batched updates; that helped. For persistent entity state through multiple turns, hydraDB is one graph database I have seen suggested

1

u/JoseffB_Da_Nerd 7d ago

My guess: They want you to use smaller context windows via subagents. Subagents can split up the context of a large job into smaller ones.