💸 LLM Usage Cost Attribution Reconciler

LLM Usage Cost Attribution Reconciler turns owner-supplied normalized evidence into a deterministic local review gate. Provider bills, gateway logs, model-price tables, retry and cache events, and customer usage often disagree at invoice close or margin review. The bundled Python helper writes stable findings, a complete review manifest, JSON and Markdown reports, and a SHA-256 receipt. Links every owner-supplied charge and usage event, flags missing or duplicate attribution and price-table drift, and preserves a receipt without querying a provider. It uses only the Python standard library, makes no network request, changes no account or system, and never treats READY as source proof, certification, a legal or security verdict, a reimbursement promise, or authorization to act.