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feat(compaction): Handle when models have input limit - #6875
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…nput is set isOverflow() uses `limit.input` directly without subtracting output token headroom, unlike the `context - output` fallback path. This means models with an explicit input limit (e.g. Claude with prompt caching) don't trigger compaction until the full input budget is consumed, leaving zero room for the next response. Three tests added: - Near-boundary case: 198K/200K used, should compact but doesn't - Parity test: same tokens correctly trigger compaction without limit.input - Asymmetry test: identical 200K models diverge by exactly 32K (the missing output headroom) Related: anomalyco#10634, anomalyco#8089, anomalyco#11086, anomalyco#12621 See also: anomalyco#6875, anomalyco#12924
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Closing this pull request because it has had no updates for more than 60 days. If you plan to continue working on it, feel free to reopen or open a new PR. |
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