LLM & Agentic Systems > Agent orchestration > Agent budget enforcer
What This Covers
Agent runtime budget enforcement manages how limits are applied and checked during agent execution. A typical orchestrator enforces across multiple dimensions — token usage, dollar cost, tool-call counts, and wall-clock time — each with its own counting logic, data source, and failure characteristics.
Why It’s Hard
Enforcement depends on aggregated data from other system components. Usage is incurred by workers, accumulated into per-run totals, and then made visible to the enforcement layer. This means the enforcer’s picture of a run’s consumption can diverge from reality in different ways depending on the dimension:
- A cost estimate can be inflated by stale pricing data
- A tool-call count can be thrown off by how operations are defined
- A time limit can be affected by what counts as active execution versus waiting
Diagnosing budget enforcement failures requires comparing what the enforcer believed at each decision point against what actually happened, and identifying which layer introduced the discrepancy.
Example Scenario
An agent orchestrator enforces a $0.80 cost cap per run. After a routine config deployment, runs in one workflow family start getting stopped for budget violations at an elevated rate — roughly 7% versus a baseline under 1%.
Customer complaints indicate the stops seem wrong. When you pull recent stopped runs, a pattern emerges: the enforcer’s calculated spend at the moment of each stop is $0.81–$0.86, but the actual billed totals come in at $0.58–$0.65.
The issue is concentrated in one workflow family and correlates loosely with runs that use parallel tool execution. Two recent changes are potentially relevant — a pricing config refresh the previous evening and a prompt update that morning which increased average output length by about 11%.
You would be asked to reason about what’s causing the discrepancy, what evidence would help distinguish between possible explanations, and how you’d assess the scope of impact.
Scenarios in the evaluation may involve any enforcement dimension — cost, tool-call counting, time-based limits, or enforcement scoping — not only cost.