EnvOpt Cuts Agent Costs, Boosts Pass Rates
EnvOpt introduces automated optimization of stationary agent environments, restructuring information and tools without changing the target model or harness. The paper reports a 72.7% cost reduction and 14.34% pass-rate gain for Claude Haiku 4.5 on AutomationBench.
EnvOpt makes environment design a serious optimization frontier, though its striking benchmark gains still need validation in messy, changing production workspaces.
- –Targets information layout, indexing, tool interfaces, and shared context
- –Transfers gains across Claude Haiku 4.5 and Opus 5
- –Works alongside harness optimization rather than replacing it
- –Avoids requiring graders or reference answers during optimization
- –Results are author-reported and may not generalize beyond benchmark environments
DISCOVERED
42m ago
2026-11-08
PUBLISHED
45m ago
2026-11-08
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