Show HN: Cost per Outcome for AI Workflows (github.com)

Botanu has unveiled a new platform designed to help AI companies assess the cost of their AI features on a per-customer basis, facilitating outcome-based pricing and enhanced scalability. Built on OpenTelemetry, this SDK enables event-level cost attribution across AI workflows, where each event—such as resolving a support ticket or processing an order—can involve multiple operations and workflows. By linking every operation to a unique event_id, Botanu allows companies to track costs and outcomes accurately without the inaccuracies associated with sampling artifacts. The significance of Botanu lies in its capability to streamline financial insights for AI operations, making it easier for businesses to understand ROI from their AI investments. With features like auto-instrumentation for over 50 libraries, straightforward installation, and configuration purely through environment variables, Botanu is positioned to cater to the needs of both small and large-scale AI applications. Developers can quickly integrate and use this SDK by employing simple decorators in Python, ultimately promoting smarter decision-making and resource management in AI projects.