### Check for existing issues

- [x] I have searched the existing issues and checked that my issue is not a duplicate.

### The Feature

LiteLLM tracks provider API costs effectively, but lacks native metrics for corporate ESG (Environmental goals) and infrastructure TCO (Total Cost of Ownership). Currently, there is no low-overhead way to monitor the electrical/carbon footprint (OpEx) and the initial hardware purchase depreciation (CapEx) per token for enterprise self-hosted or dedicated compute nodes. Opex = Energy (kWh) = [((Input Tokens * E_in) + (Output Tokens * E_out)) / 1000] * PUE CapEx Cost ($) = Total Tokens * [Server Purchase Price ($) / (Lifespan (sec) * Average Throughput (tokens/sec))]

### Motivation, pitch

As AI scaling drives massive increases in energy consumption and hardware costs, enterprises need to track more than just API pricing. Integrating an Eco-Score directly into LiteLLM allows teams to monitor real-time electrical footprint (OpEx) and amortize hardware purchase costs (CapEx) per token. This makes LiteLLM the first AI proxy to enable true Green-Computing and precise infrastructure TCO routing.

### What part of LiteLLM is this about?

_No response_

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