Stop budgeting AI on monthly invoices. TurboFinOps proxies your OpenAI and Anthropic clients with a drop-in SDK that streams every call into a per-feature ledger and recommends model swaps that pay for themselves.
AI invoices arrive monthly with no breakdown by feature, customer or model.
Engineering ships an Opus call by accident and only finance notices, four weeks later.
You cannot prove AI cost per customer to bill, charge back or churn-protect.
Wrap your existing OpenAI / Anthropic SDK with one line and start streaming usage events.
See per-feature, per-customer and per-trace cost within sub-minute latency.
Get specific recommendations: "Feature /summary used Opus 4.7 for 80% small completions — switch to Sonnet 4.6 saves $1,240/mo."
Workflow
Use meterAnthropic() and meterOpenAI() to wrap your existing clients in one line. Production traffic continues without disruption.
Every API call emits a non-blocking usage event with model, tokens, cached tokens, feature label and end-user reference.
Versioned per-1k-token pricing applies the rate that was in effect when the call ran, so historical reports stay canonical.
Model-switch recommendations identify features where a smaller model would save money with negligible quality loss.
Capabilities
Each capability helps teams validate impact, preserve control, and prove outcomes.
Drop-in SDK for OpenAI + Anthropic
Per-feature, per-customer, per-trace attribution
Versioned model pricing (Anthropic 4.x/3.x, OpenAI 4o/4.1/o-series)
Cached-token aware cost calculation
Opus → Sonnet model-switch recommender
Daily cost trend + token volume charts
FAQ
Invoices are monthly, total-only and exclude failed retries. They cannot answer "which feature, which customer, which model" — and that is the only granularity that actually drives optimization decisions.
No. The SDK buffers events in memory and flushes asynchronously every 5 seconds or when the batch fills (100 events). Network failures re-buffer, never throw.
It identifies features where >70% of calls produce <800 output tokens — a signal that a smaller model can handle the workload with negligible quality loss. It then quotes the actual savings in USD using current versioned pricing.
Connect a read-only scope and surface recoverable spend in 10 minutes.
Connect one AWS, Azure or GCP scope, approve the safest savings actions, and give finance a receipt when the savings verify.
