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Apply token-budgeted agent execution and context compaction to all AI agent runs instead of gating it behind execution_mode. Remove the legacy fixed-limit agent settings, keep compression_threshold defaulted to 80, and trim prompt history from the latest compression checkpoint. Why: Preserving a stable compressed context across turns keeps important conversation state available while allowing newer messages to append to a consistent prefix. That improves cache reuse and avoids repeatedly throwing away useful context just to stay under model limits. Compaction shape: before: turn 1 [full -> compact] | turn 2 [full -> compact] after: [compact checkpoint] -> turn 1 -> turn 2 -> ... --------- Co-authored-by: Rafael Silva <xfalcox@gmail.com> |
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