Monitoring LLM costs in production: tokens, tenants, and alerts

As companies deploy large language models (LLMs) in production, tracking costs has become crucial. The article dives into how to monitor LLM expenses, emphasizing the importance of understanding which tenants, features, and workflows are driving costs. Without detailed observability, it's tough for finance teams to pinpoint where spending is occurring, potentially leading to budget overruns. This is significant because effective cost management can help maintain competitive pricing and resource allocation while maximizing the return on investment in advanced AI technologies.