Governor watches the health of every agent in your swarm, catches a failure the moment it starts to spread, and throttles the doomed work before it finishes — so you either spend less, or spend the same budget on a better answer.
A single chat call is cheap. A swarm that chains calls, builds on each other's output, and runs to completion before anyone checks the result is where cost — and silent failure — compounds. One agent goes subtly wrong early; the rest confidently build on its garbage; you pay full price for all of it, plus the rework.
Three layers, one lightweight wrapper around your existing agent calls. No retraining, no new model.
Governor tracks a one-sided health score on every agent — it falls when an agent's output degrades, and isn't fooled by an agent doing better than usual or by a slow, sustained drift.
It learns the normal "togetherness" of coupled agents from healthy traffic, then fires when that coupling breaks — no threshold to tune, and it catches slow drift a fixed alarm would miss.
The moment a failure starts to spread, Governor throttles the agents building on the bad work — a continuous dial, not an on/off switch — and routes the freed budget where you point it.
Same mechanism, one toggle: what happens to the budget Governor frees up when it throttles a failing branch.
Bank the freed tokens. Throttle the work that's going wrong, hold quality, and cut the bill.
Hold the budget flat and reallocate the freed spend to the recovering work and the healthy agents — a better final answer for the same money.
Every agent-monitoring tool on the market watches and reports — it hands you a dashboard and a bill after the run. Governor is a control layer: it acts on the run while it's happening, throttling the waste before the tokens are spent. You can't save a bill you can only see.
Governor isn't a fresh bet. It's the productized form of Reasoning Chain Selection, a method from our working-paper series that ranks reasoning chains by a P(t) health signal at r=0.9994 against ground truth. Governing a swarm of coupled agents is the same signal generalized: from "which chain is healthiest" to "which agent is dragging the rest down." The portfolio is the proof; Governor is the first product built on it.
Governor sits between your agent framework and your model provider. Point it at your swarm, pick a mode, set a throttle floor. Your agents don't change.
If you run a multi-agent system in production and you're feeling the token bill, we'll instrument it, show you a real number on your workload, and you keep whatever we save. No "buy now" — this is early, and we'd rather earn the number than quote one.
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