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Wattage: A token-spend profiler and cost-regression gate for AI agents

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#wattage#token-spend#profiler#cost-regression#gate
Wattage: A token-spend profiler and cost-regression gate for AI agents
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Point it at a trace and it tells you exactly where your tokens are being burned and wasted, prices each waste pattern in real dollars, prescribes a fix, and can fail your CI when a change makes your agent measurably more expensive. A real captured agent trace (see provenance) — Wattage catches a stable prompt prefix being re-sent instead of cached, prices the waste, and prescribes the fix. Regenerate this GIF with vhs docs/assets/demo.tape (see the tape file for the exact command).

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A Kill-A-Watt meter for your AI agents. Point it at a trace and it tells you exactly where your tokens are being burned and wasted, prices each waste pattern in real dollars, prescribes a fix, and can fail your CI when a change makes your agent measurably more expensive. A real captured agent trace (see provenance) — Wattage catches a stable prompt prefix being re-sent instead of cached, prices the waste, and prescribes the fix. Regenerate this GIF with vhs docs/assets/demo.tape (see the tape file for the exact command). Install and run uvx wattage report trace.json No config file, no API key, fully offline — point it at an OTLP JSON trace export and it prices every call and runs every detector.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News: Front Page.

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