Cloudability integration of LiteLLM

The integration of LiteLLM in Cloudability would be very usefull to perform showback and chargeback of AI costs on each team/user that generate a specifc cost.

As enterprise AI adoption accelerates, organizations face an increasingly critical challenge: gaining financial visibility and accountability over LLM-related spending. Today, most AI costs generated by different teams, projects, and individual users remain opaque, making accurate showback and chargeback virtually impossible.

LiteLLM is an open-source gateway that provides a unified API layer across 100+ LLMs, natively supporting cost tracking per token, per user, per team, and per organization. It already enables granular spend logging, budget enforcement, custom pricing overrides, and provider-level discount management.

Integrating LiteLLM's cost telemetry into IBM Cloudability would bridge a significant gap in the current FinOps landscape by enabling organizations to:

• Perform precise showback and chargeback of AI/LLM costs attributed to each team, user, or project — just as they do today for traditional cloud resources.
• Extend Cloudability's FinOps governance — recognized as a Leader in both the 2024 Forrester Wave and the 2024 Gartner Magic Quadrant for Cloud Financial Management Tools — into the fast-growing domain of AI cost optimization.
• Complement recent IBM investments, such as Kubecost 3.0 (with advanced GPU monitoring) and Cloudability Governance, by adding a dedicated layer for LLM spend visibility that currently no major FinOps platform fully addresses.

This integration would position Cloudability as the first enterprise-grade FinOps platform with native AI inference cost allocation, aligning with the industry's urgent need to treat AI spending with the same rigor applied to cloud infrastructure