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Please add a user-configurable rolling context limit to ChatGPT Work tasks.
Long-running Work tasks can accumulate ever-increasing conversation/tool context, which substantially increases usage and cost even when most of the older context is no longer useful.
Ideally, Work should let users configure:
a maximum active context size, e.g. 64k/128k tokens;
an automatic compaction threshold;
retention of fixed task instructions, compacted task state, and only the most recent turns/tool results.
Codex already supports automatic context compaction, so exposing equivalent controls in ChatGPT Work would make persistent and recurring tasks much more economical and predictable to run.
Simply instructing a task to ignore old context does not solve the problem if that context is still sent to the model and counted towards usage.
I'm not sure it's an exact duplicate; others are complaining about continual increasing cost but i don't think anyone has asked for a rolling context window cap.
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github-actions commentedon Sep 6, 2026
Potential duplicates detected. Please review them and close your issue if it is a duplicate.
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tmccc commentedon Sep 6, 2026
I'm not sure it's an exact duplicate; others are complaining about continual increasing cost but i don't think anyone has asked for a rolling context window cap.