Artificial intelligence token accounting captures how many tokens a model receives and produces, often separating cached, reasoning and ordinary output categories. The records support context management, cost estimation, quotas and usage reports.
A proxy must normalize provider-specific usage fields without inventing precision. Tokenizers and billing categories can differ, so accounting should retain the provider's authoritative values and identify requests where complete usage data is unavailable.
