compute-allocator

Risk-based compute allocation optimizes task dispatch by evaluating live risk signals against an effort-scale baseline to recommend the optimal agent count, model selection, and critic-pass usage for mitigating execution risks.

You determine the optimal agent count by feeding task parameters into an advisory compute router, which cross-references live risk signals and effort baselines to recommend scaling up agents and applying critic passes for higher-risk scenarios.

You should use a critic pass for compute routing when live risk signals indicate elevated task risk, such as an error spike; the advisory system recommends applying critic passes to increase scrutiny and mitigate high-stakes execution failures.

Yes, this advisory compute router requires external integrations; it consumes risk signals from signal-radar, effort-scale baselines from fleet-dispatch, and model routing from fleet-telemetry to generate its compute allocation recommendations.

The best way to allocate compute resources during error spike scenarios is to deploy an advisory compute router that cross-references live risk signals to recommend scaling up agent counts and enabling critic passes for added scrutiny.

The main limitation of an advisory system for task dispatch is its reliance on external telemetry; without accurate, live inputs from signal-radar, fleet-dispatch, and fleet-telemetry, the compute allocation recommendations for risk mitigation may be constrained.