TokenEconomizer authors report 18.4% to 30.9% lower SWE-Bench costs

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TokenEconomizer is an external controller for the coding agent you already use, not a new model. Its authors report 18.4% to 30.9% lower mean costs on SWE-Bench, with savings in all 30 repository-by-agent cells.

Here's how it works:

• Claude Code, Codex, GitHub Copilot CLI, and Pi are supported, using your existing login without a separate API key.
• Repository-specific micro-skills, unused-tool pruning, and a loop guard target recurring costs. The loop guard can redirect a stuck agent without stopping the turn.
• The authors report higher Pass@1 in four of five agent-model combinations, with performance comparable overall.
• Learned data stays local, and the plugin is licensed under Apache 2.0.

One catch: savings depend on repeated work in the same repository. Fresh-repository tasks may behave differently, newer agent versions are untested, and micro-skills are off by default.

Try it: pi install git:github.com/microsoft/TokenEconomizer. Requires Python 3.10 or newer. Run /tokeneconomizer:status after installation.

Sources: explainx.ai