model-usage

To summarize per-model API costs from a CodexBar JSON payload, you can run a script that reads the JSON file or stdin, filters by date if needed, and outputs model-level totals or latest-day costs in human-readable text or structured JSON format.

The best way to calculate per-model cost breakdowns for daily Codex and Claude logs is to process the local cost JSON payload. This produces all-model breakdowns or current-model reports, revealing usage insights for cost auditing and provider comparisons.

Yes, you can output structured JSON instead of text when analyzing model usage costs. The processing logic supports flexible input and output, allowing you to generate structured JSON data suitable for dashboards, audits, or budgeting systems.

No, you do not need external dependencies to analyze CodexBar cost data locally. The processing logic operates independently using included scripts and references to read the cost JSON payload and generate per-model usage reports.

Filtering by date when generating a per-model usage report works by applying a date filter to the input cost JSON payload. This allows you to isolate specific daily cost logs and calculate current-model reporting or full-model breakdowns for the selected period.

You should use a local script for AI cost analysis to reveal per-model costs directly from CodexBar JSON payloads without external data transfers. It supports provider comparisons like Codex vs Claude, offering immediate budgeting and optimization insights.