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Control AI agent spend with pre-call caps, approvals, and rate limits.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Budget Governor" yet — see the docs or source repo.
Configure budget governance for a customer support AI agent: set a daily spend cap of $20, allow at most 30 calls per minute, and block any call that exceeds limits while logging the reason.
A budget and rate-limit configuration that blocks over-limit requests before the model call.
Set a rule for a research assistant agent: if the estimated cost of a single request exceeds $2, require human approval before allowing the model call to continue.
A governance policy describing the approval threshold, interception logic, and release conditions.
Add idempotency control for a bulk content generation agent: when the same job is submitted multiple times, allow it to run only once to avoid duplicate model calls and charges.
An idempotency key design and execution policy that prevents duplicate jobs from creating extra costs.
Manage agent budgets, track costs, forecast spending, and configure alerts.
Track AI agent token usage and costs with alerts and task breakdowns.
Track LLM costs, enforce budgets, and get spending alerts in AI editors.
Let AI agents make payments within signed spending caps.
Log expenses locally and review budget summaries through MCP-compatible AI clients.
Enable secure agent purchasing with approvals, virtual cards, receipts, and audit trails.