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* feat(codex): compute Codex credit usage (#408, #495) Codex/ChatGPT subscription users consume credits, a unit separate from API dollars: usage is billed as credits-per-million-tokens at per-model rates that differ from the API USD pricing CodeBurn uses for cost. So the reported dollar cost does not match what credits actually consume. Add a credit engine sourced from the official Codex credit rates (developers.openai.com/codex/pricing): GPT-5.5 125/12.5/750, GPT-5.4 62.5/6.25/375, GPT-5.4 mini 18.75/1.875/113 credits per 1M input/cached/output tokens. Surface per-model credit usage in `codeburn models` JSON output (credits field; null for non-Codex or unknown models). models-report already folds reasoning into output and keeps non-cached input + cached-read separately, which is exactly what the credit rates expect, so the figure is exact. Engine + computation are unit-tested. UI display surfaces (the models table, the TUI dashboard, the menubar "credits" view) are intentionally left for a follow-up so the display choice can be decided. * feat(menubar): opt-in Codex credits display metric (#408, #495) Surface Codex credit usage in the menubar as a selectable metric, without changing the default. Cost ($) stays the default in both the menubar and the CLI; credits only appear when explicitly chosen. - TS: buildMenubarPayloadForRange computes the period's Codex credits (via the tested aggregateModels, so reasoning/cached are handled) and exposes current.codexCredits in the menubar JSON. - Swift: new DisplayMetric.credits, a "Credits (Codex)" option in the metric picker, decodes codexCredits, and renders it in the menu-bar title. Default metric remains .cost. |
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| .. | ||
| ActivitySection.swift | ||
| AgentTabStrip.swift | ||
| FindingsSection.swift | ||
| HeatmapSection.swift | ||
| HeroSection.swift | ||
| MenuBarContent.swift | ||
| ModelsSection.swift | ||
| PeriodSegmentedControl.swift | ||
| SectionCaption.swift | ||
| SettingsView.swift | ||
| SparklineView.swift | ||
| ToolingSection.swift | ||