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7876c8e9d7
The pricing cache written to disk had no schema version, so a cache written by a pre-#1078 binary lacked cacheWriteCostIsExplicit on every entry. Reading it back resolved the missing key to undefined (falsy), silently reintroducing the surcharge-fabrication bug #1078 killed for up to CACHE_TTL_MS after an upgrade. loadCachedPricing now rejects any cache whose version doesn't match the current schema instead of reading it verbatim. codexCredits() still accepted an optional reasoningTokens param that added it to output - the exact double-count #1078 removed from every real caller. The only caller never passed it; deleted it so it can't be reintroduced by accident. parser.ts's activeGeneratedTokens fallback went through billableOutputTokens in #1078, but codex is the only caller of activeDurationMs/activeGeneratedTokens and always sets both together, so the fallback branch is unreachable for it. Reverted to reduce diff noise.
48 lines
2.1 KiB
TypeScript
48 lines
2.1 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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})
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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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})
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