Follow-up with numbers from my local Codex logs:
I queried ~/.codex/logs_2.sqlite for post sampling token usage entries and grouped them by codex-auto-review vs everything else.
Result:
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codex-auto-review: 523 turns, 41.12M tokens, 74.6% of logged usage -
interactive/other turns: 197 turns, 14.00M tokens, 25.4% of logged usage
So in my case, the majority of local Codex token usage is not coming from my visible interactive agent work, but from codex-auto-review.
This may explain why my Pro weekly limit is draining so quickly even though I am using one agent at a time and not running parallel agents. From the user perspective, I’m doing normal development work. But internally, Codex appears to be spending most of the tokens on automatic review/safety/background checks. This is not transparent!
Can OpenAI clarify:
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Does
codex-auto-reviewcount against the same Pro weekly Codex limit? -
Can users disable or limit auto-review/ambient suggestion runs? Or do we have to use yolo mode.
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Can the usage dashboard show per-task/per-source usage, especially interactive agent vs auto-review? Or do we have to check the
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Is it expected that auto-review can account for ~75% of local token usage? Or is this maybe a bug, as it just started the last days?