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33d344abc3
Main already spent Codex results v11 and daily v23 on #1075, and result caches are now version-suffixed. Keep both parse-version tokens (codex-pricing-v1 + activity-price-v1) so a take-ours merge cannot drop the pricing invalidation. Do not Extra High again.
58 lines
2.6 KiB
TypeScript
58 lines
2.6 KiB
TypeScript
import { describe, expect, it } from 'vitest'
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import { codexCredits, codexCreditRate } from '../src/codex-credits.js'
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describe('codexCreditRate', () => {
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it('resolves the documented per-model rates', () => {
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expect(codexCreditRate('gpt-5.5')).toEqual({ input: 125, cachedInput: 12.5, output: 750 })
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expect(codexCreditRate('gpt-5.4')).toEqual({ input: 62.5, cachedInput: 6.25, output: 375 })
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expect(codexCreditRate('gpt-5.4-mini')).toEqual({ input: 18.75, cachedInput: 1.875, output: 113 })
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})
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it('tolerates codex suffix variants and casing', () => {
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expect(codexCreditRate('GPT-5.5-codex')?.input).toBe(125)
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expect(codexCreditRate('gpt-5.4-codex-mini')?.input).toBe(18.75)
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})
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it('returns null for models with no known credit rate', () => {
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expect(codexCreditRate('gpt-4o')).toBeNull()
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expect(codexCreditRate('claude-opus-4-8')).toBeNull()
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})
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it('resolves the auto-review activity id to the same rate as GPT-5.5', () => {
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expect(codexCreditRate('codex-auto-review')).toEqual(codexCreditRate('gpt-5.5'))
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expect(codexCreditRate('codex-auto-review')).not.toBeNull()
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expect(codexCreditRate('CODEX-AUTO-REVIEW')).toEqual(codexCreditRate('gpt-5.5'))
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})
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})
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describe('codexCredits', () => {
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it('charges 1M input tokens at the input rate', () => {
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expect(codexCredits('gpt-5.5', { inputTokens: 1_000_000, cachedReadTokens: 0, outputTokens: 0 })).toBe(125)
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})
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it('charges 1M output tokens at the output rate', () => {
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expect(codexCredits('gpt-5.5', { inputTokens: 0, cachedReadTokens: 0, outputTokens: 1_000_000 })).toBe(750)
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})
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it('charges cache-read tokens at the cheaper cached rate', () => {
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expect(codexCredits('gpt-5.5', { inputTokens: 0, cachedReadTokens: 1_000_000, outputTokens: 0 })).toBe(12.5)
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})
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it('sums a mixed record (gpt-5.4)', () => {
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// 2M input (125) + 1M cached (6.25) + 0.5M output (187.5) = 318.75
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const credits = codexCredits('gpt-5.4', { inputTokens: 2_000_000, cachedReadTokens: 1_000_000, outputTokens: 500_000 })
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expect(credits).toBeCloseTo(125 + 6.25 + 187.5, 6)
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})
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it('clamps negative / non-finite token counts to 0', () => {
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expect(codexCredits('gpt-5.5', { inputTokens: -100, cachedReadTokens: NaN, outputTokens: 1_000_000 })).toBe(750)
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})
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it('returns null for an unknown model', () => {
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expect(codexCredits('gpt-4o', { inputTokens: 1_000_000, cachedReadTokens: 0, outputTokens: 0 })).toBeNull()
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})
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it('charges auto-review at the GPT-5.5 credit rate, not null', () => {
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expect(codexCredits('codex-auto-review', { inputTokens: 1_000_000, cachedReadTokens: 0, outputTokens: 0 })).toBe(125)
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})
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})
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