Implementation is designed to be incredibly straightforward for development teams, requiring only a minimal two-line code integration into existing application infrastructure. This shallow integration layer proxies requests to the respective LLM services, logs the necessary metadata—such as model used, token counts, and associated costs—and then seamlessly passes the response back to the application without modification. Crucially, this process is managed with exceptional security; API keys are never stored in persistent storage, existing only briefly in memory during the request cycle, and content from prompts or responses is never logged.
Beyond simple tracking, the platform is engineered to empower data-driven decision-making, providing smart cost insights and the ability to catch spending spikes immediately before they impact the final invoice. Users can segment and analyze expenditures by specific agents, development teams, or departments to accurately allocate resources and optimize usage patterns. While currently offering essential features completely free of charge to early adopters, this tool promises to bring the rigorous cost control methodologies traditionally applied to cloud infrastructure directly to the forefront of generative model deployment.
