Agent Budget Controllerv1.0.0

An enterprise with multiple AI agents serving different departments sets per-agent daily and monthly budgets to prevent cost overruns. The skill tracks usage across models like gpt-4o and claude-sonnet-4-5, alerts when thresholds are breached, and blocks calls when budgets are exhausted.

A freelance developer builds custom AI assistants for multiple clients, each with its own weekly budget. Using this skill, they log API usage per client and generate monthly reports for billing transparency, ensuring clients stay within agreed spending limits.

Within a multi-agent OpenClaw environment, each agent (e.g., ubik-pm) has a daily budget. The skill integrates via heartbeat checks to automatically warn the director when usage hits 90% and block further calls at 100%, maintaining cost control across the agent ecosystem.

A university lab provides students with access to LLM APIs for projects. The instructor sets global daily and monthly budgets, while students log usage via scripts. Alerts notify the lab admin when spending nears limits, avoiding unexpected charges.

Offer managed AI agents to small businesses with fixed monthly pricing. The skill tracks per-client API costs to ensure profitability by enforcing individual budgets and alerting when usage exceeds margins.

Resell LLM API access to developers at a markup. Use this skill to set budgets for each reseller, track their usage against pricing tiers, and generate automated billing reports based on actual consumption.

Large organizations allocate LLM API costs back to departments as chargebacks. The skill logs usage per department agent, generates monthly cost breakdowns, and alerts when a department exceeds its allocated budget.