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| 1 | +import { describe, expect, it } from 'vitest' |
| 2 | +import { extractUsageCost } from '../src/adapters/cost' |
| 3 | + |
| 4 | +describe('extractUsageCost', () => { |
| 5 | + it('extracts a finite cost', () => { |
| 6 | + expect(extractUsageCost({ cost: 0.0123 })).toEqual({ cost: 0.0123 }) |
| 7 | + }) |
| 8 | + |
| 9 | + it('preserves cost === 0 (not treated as absent)', () => { |
| 10 | + expect(extractUsageCost({ cost: 0 })).toEqual({ cost: 0 }) |
| 11 | + }) |
| 12 | + |
| 13 | + it('returns empty object when cost is absent', () => { |
| 14 | + expect(extractUsageCost({ promptTokens: 5 })).toEqual({}) |
| 15 | + }) |
| 16 | + |
| 17 | + it('returns empty object for non-number / non-finite cost', () => { |
| 18 | + expect(extractUsageCost({ cost: '0.5' })).toEqual({}) |
| 19 | + expect(extractUsageCost({ cost: NaN })).toEqual({}) |
| 20 | + expect(extractUsageCost({ cost: Infinity })).toEqual({}) |
| 21 | + expect(extractUsageCost({ cost: null })).toEqual({}) |
| 22 | + }) |
| 23 | + |
| 24 | + it('returns empty object for non-object input', () => { |
| 25 | + expect(extractUsageCost(undefined)).toEqual({}) |
| 26 | + expect(extractUsageCost(null)).toEqual({}) |
| 27 | + expect(extractUsageCost(42)).toEqual({}) |
| 28 | + }) |
| 29 | + |
| 30 | + it('reads costDetails (camelCase) and normalizes to canonical keys', () => { |
| 31 | + expect( |
| 32 | + extractUsageCost({ |
| 33 | + cost: 0.01, |
| 34 | + costDetails: { upstreamInferenceCost: 0.008 }, |
| 35 | + }), |
| 36 | + ).toEqual({ cost: 0.01, costDetails: { upstreamCost: 0.008 } }) |
| 37 | + }) |
| 38 | + |
| 39 | + it('reads cost_details (snake_case) and normalizes to canonical keys', () => { |
| 40 | + expect( |
| 41 | + extractUsageCost({ |
| 42 | + cost: 0.01, |
| 43 | + cost_details: { upstream_inference_cost: 0.008 }, |
| 44 | + }), |
| 45 | + ).toEqual({ cost: 0.01, costDetails: { upstreamCost: 0.008 } }) |
| 46 | + }) |
| 47 | + |
| 48 | + it('collapses Chat Completions prompt/completions onto canonical input/output', () => { |
| 49 | + expect( |
| 50 | + extractUsageCost({ |
| 51 | + cost: 0.0042, |
| 52 | + cost_details: { |
| 53 | + upstream_inference_completions_cost: 0.0026, |
| 54 | + upstream_inference_cost: 0.0038, |
| 55 | + upstream_inference_prompt_cost: 0.0012, |
| 56 | + }, |
| 57 | + }), |
| 58 | + ).toEqual({ |
| 59 | + cost: 0.0042, |
| 60 | + costDetails: { |
| 61 | + upstreamOutputCost: 0.0026, |
| 62 | + upstreamCost: 0.0038, |
| 63 | + upstreamInputCost: 0.0012, |
| 64 | + }, |
| 65 | + }) |
| 66 | + }) |
| 67 | + |
| 68 | + it('collapses Responses input/output onto the same canonical input/output', () => { |
| 69 | + expect( |
| 70 | + extractUsageCost({ |
| 71 | + cost: 0.0042, |
| 72 | + cost_details: { |
| 73 | + upstream_inference_cost: 0.0038, |
| 74 | + upstream_inference_input_cost: 0.0012, |
| 75 | + upstream_inference_output_cost: 0.0026, |
| 76 | + }, |
| 77 | + }), |
| 78 | + ).toEqual({ |
| 79 | + cost: 0.0042, |
| 80 | + costDetails: { |
| 81 | + upstreamCost: 0.0038, |
| 82 | + upstreamInputCost: 0.0012, |
| 83 | + upstreamOutputCost: 0.0026, |
| 84 | + }, |
| 85 | + }) |
| 86 | + }) |
| 87 | + |
| 88 | + it('prefers camelCase costDetails when both are present', () => { |
| 89 | + expect( |
| 90 | + extractUsageCost({ |
| 91 | + cost: 0.01, |
| 92 | + costDetails: { upstreamInferenceCost: 1 }, |
| 93 | + cost_details: { upstream_inference_cost: 2 }, |
| 94 | + }), |
| 95 | + ).toEqual({ cost: 0.01, costDetails: { upstreamCost: 1 } }) |
| 96 | + }) |
| 97 | + |
| 98 | + it('preserves negative detail values (e.g. cache discount)', () => { |
| 99 | + expect( |
| 100 | + extractUsageCost({ |
| 101 | + cost: 0.01, |
| 102 | + costDetails: { upstreamInferenceCost: -0.002 }, |
| 103 | + }), |
| 104 | + ).toEqual({ cost: 0.01, costDetails: { upstreamCost: -0.002 } }) |
| 105 | + }) |
| 106 | + |
| 107 | + it('drops null, non-finite, and non-numeric detail entries', () => { |
| 108 | + expect( |
| 109 | + extractUsageCost({ |
| 110 | + cost: 0.01, |
| 111 | + costDetails: { |
| 112 | + upstreamInferenceCost: 0.5, |
| 113 | + upstreamInferenceInputCost: null, |
| 114 | + upstreamInferenceOutputCost: Infinity, |
| 115 | + upstreamInferencePromptCost: NaN, |
| 116 | + upstreamInferenceCompletionsCost: 'x', |
| 117 | + }, |
| 118 | + }), |
| 119 | + ).toEqual({ cost: 0.01, costDetails: { upstreamCost: 0.5 } }) |
| 120 | + }) |
| 121 | + |
| 122 | + it('drops unknown breakdown keys', () => { |
| 123 | + expect( |
| 124 | + extractUsageCost({ |
| 125 | + cost: 0.01, |
| 126 | + costDetails: { |
| 127 | + upstreamInferenceCost: 0.008, |
| 128 | + futureUnknownField: 0.001, |
| 129 | + }, |
| 130 | + }), |
| 131 | + ).toEqual({ cost: 0.01, costDetails: { upstreamCost: 0.008 } }) |
| 132 | + }) |
| 133 | + |
| 134 | + it('omits costDetails entirely when no known entries remain', () => { |
| 135 | + expect( |
| 136 | + extractUsageCost({ cost: 0.01, costDetails: { unknownKey: 1 } }), |
| 137 | + ).toEqual({ cost: 0.01 }) |
| 138 | + }) |
| 139 | + |
| 140 | + it('drops an orphan costDetails when cost is absent', () => { |
| 141 | + expect( |
| 142 | + extractUsageCost({ costDetails: { upstreamInferenceCost: 0.008 } }), |
| 143 | + ).toEqual({}) |
| 144 | + }) |
| 145 | +}) |
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