Question

Your team runs a customer-support agent in Azure AI Foundry backed by a GPT-4o standard deployment. Finance reports that monthly spend has tripled unexpectedly, and leadership wants proactive notification before the budget is exceeded next month, plus visibility into which application is driving token consumption. Which combination of actions best meets these requirements with the least custom development?

Accepted Answer

Create an Azure Cost Management budget with alert thresholds on the resource, and enable diagnostic/metrics logging to Azure Monitor to break down token usage per deployment

Answer

Switch the deployment to provisioned throughput units (PTUs) so costs become fixed and no monitoring is needed

Answer

Lower the max_tokens parameter on every request and rely on the Foundry portal quota page to track spending

Answer

Enable Microsoft Defender for Cloud on the subscription to receive cost anomaly alerts and usage attribution