Advanced Analytics has introduced a new LLM Usage reporting feature designed to help organizations manage their large language model usage more effectively. This feature provides insights into token consumption, costs, and latency, enabling businesses to optimize their AI investments and make informed decisions by comparing different LLM providers and models. As AI adoption grows, organizations face challenges such as lack of visibility, cost management, and compliance, which this tool aims to address. The release of Kong API Gateway 3.8 allows organizations to leverage Konnect's Advanced Analytics to gain a comprehensive view of AI traffic, thus facilitating data-driven decisions, cost optimization, and improved AI performance. Users can toggle between API and LLM Usage views in Explorer for tailored analysis, using metrics like LLM Latency, Costs, and Token Usage to understand and optimize their AI operations. The feature's granular filtering and grouping options enable detailed analysis, helping organizations allocate resources effectively and identify cost-saving opportunities. By using Advanced Analytics, businesses can enhance their AI initiatives and ensure compliance with organizational and industry standards.