budget-guard

To check token budget limits before an expensive AI operation, evaluate remaining allowances across query, session, and monthly tiers using a pre-flight validation gate. The system returns APPROVE, WARN, or BLOCK decisions based on utilization thresholds.

A pre-flight token budget check prevents costly overruns by evaluating remaining token allowances before expensive operations like web searches, compute tasks, or file processing proceed. You need it for multi-step AI workflows that risk exceeding defined token limits.

You can apply category-based cost multipliers to adjust estimated token usage based on operation type, including web, compute, file, or memory tasks. This adjusts the pre-flight evaluation to reflect the true cost of the specific AI action.

You enforce rate limiting by evaluating token utilization against configured thresholds in a pre-flight check. The system returns a BLOCK decision if the estimated usage exceeds session or monthly token limits, halting the operation before it runs.

The pre-flight budget check works for multi-step AI workflows by evaluating remaining token budgets across query, session, and monthly tiers. It ensures cumulative token usage from sequential tasks like file processing pipelines remains within defined limits.

The difference between APPROVE, WARN, and BLOCK decisions in token budgeting lies in utilization thresholds: APPROVE allows the operation, WARN indicates approaching limits, and BLOCK prevents execution when estimated token usage exceeds the remaining budget.