LLM Token Budget Burn Rate Alert
criticalMulti-agent CrewAI systems, especially hierarchical processes with extended deliberations, can consume API tokens at unsustainable rates, causing budget overruns and operational cost spikes without proper monitoring.
Monitor token consumption rate per agent, per task, and per session. Track daily burn rate against budget. Alert when cost per request exceeds threshold, when hierarchical agent deliberations exceed expected token counts, or when projected monthly spend exceeds budget by configurable percentage.
Implement smart model selection (use cheaper models for simpler tasks). Optimize prompts for conciseness. Enable response caching for identical tool calls. Decompose large tasks into smaller sub-tasks. Set cost-based circuit breakers to halt crews exceeding budget thresholds. Monitor cost per agent and adjust model assignments accordingly.