SWE-Pruner Pro Reduces Token Usage by 39% via Internal Representations
July 19, 2026
SWE-Pruner Pro prunes tool outputs by using a small head to interpret an agent's internal representations as keep-or-prune labels. This method preserves task quality while saving up to 39% of prompt and completion tokens across multiple multi-turn benchmarks.
HOW THIS AFFECTS YOU
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builderYou can significantly reduce inference costs and latency for coding agents.
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founderLower token consumption improves the unit economics of your AI agent products.