Show HN: FiscaLLM:open-source per-user AI cost for subscription apps (github.com)

FiscaLLM has launched an open-source tool that enables subscription-based applications to track the AI costs attributed to individual users. This innovative solution helps developers understand the profitability of their app users by comparing the AI expenses incurred for each user against their subscription revenue. With FiscaLLM, developers can easily integrate into their applications to capture AI calls and associated costs, facilitating more informed financial decisions. This tool is particularly significant for the AI/ML community because it addresses the often opaque relationship between AI usage and associated costs in subscription models. By providing insights into per-user AI spending, developers can identify inefficiencies and potential financial pitfalls. The integration is seamless via a simple SDK that tracks API calls by recording token counts and allows for customizable budget alerts. Key features include spending caps per user, automatic event batching, and the ability to merge anonymous and authenticated users for accurate revenue tracking, thus enabling businesses to optimize their AI expenditures and improve overall profitability.