cost-verification-auditor

To verify LLM API token cost estimates, audit historical API invoices against estimated costs to detect estimation drift and confirm accuracy within a ±20% variance threshold.

Estimation drift occurs when projected LLM API costs deviate from actual usage over time. Detect it by comparing historical API invoices against estimated token costs to identify anti-patterns in input and output projections.

Audit Claude API cost estimates by running test cases through a verification process that compares projected token costs against actual API usage, ensuring financial predictability before production deployment.

Common anti-patterns in LLM token cost estimation include overestimating overhead and focusing on per-node variance. Identifying these mistakes helps calibrate input and output token formulas based on prompt constraints.

Yes, you can check if API token cost predictions fall within a ±20% variance of actual API usage by analyzing historical invoices and applying calibration guidelines for input and output tokens.