copilot-proxy/tests/usage-normalizer.test.ts at master · weavejam/copilot-proxy · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
import { test, expect, describe } from "bun:test"

import {
  createAnthropicAccumulator,
  createOpenAIAccumulator,
  normalizeAnthropicMessage,
  normalizeEmbeddings,
  normalizeOpenAIFinal,
  UsageMissingError,
} from "../src/lib/usage-normalizer"

describe("normalizeOpenAIFinal", () => {
  test("maps prompt/completion/total + cached + reasoning", () => {
    const out = normalizeOpenAIFinal({
      prompt_tokens: 100,
      completion_tokens: 50,
      total_tokens: 150,
      prompt_tokens_details: { cached_tokens: 20 },
      completion_tokens_details: { reasoning_tokens: 10 },
    })
    expect(out).toEqual({
      inputTokens: 100,
      cachedInputTokens: 20,
      outputTokens: 50,
      reasoningTokens: 10,
      totalTokens: 150,
    })
  })

  test("missing fields default to 0", () => {
    const out = normalizeOpenAIFinal({
      prompt_tokens: 10,
      completion_tokens: 5,
    })
    expect(out.inputTokens).toBe(10)
    expect(out.outputTokens).toBe(5)
    expect(out.cachedInputTokens).toBe(0)
    expect(out.reasoningTokens).toBe(0)
    expect(out.totalTokens).toBe(15)
  })
})

describe("normalizeAnthropicMessage", () => {
  test("folds cache_creation_input_tokens into inputTokens", () => {
    const out = normalizeAnthropicMessage({
      usage: {
        input_tokens: 100,
        cache_creation_input_tokens: 25,
        cache_read_input_tokens: 75,
        output_tokens: 30,
      },
    })
    expect(out.inputTokens).toBe(125)
    expect(out.cachedInputTokens).toBe(75)
    expect(out.outputTokens).toBe(30)
    expect(out.totalTokens).toBe(155)
  })
})

describe("normalizeEmbeddings", () => {
  test("uses prompt_tokens as input", () => {
    const out = normalizeEmbeddings({ prompt_tokens: 12, total_tokens: 12 })
    expect(out.inputTokens).toBe(12)
    expect(out.outputTokens).toBe(0)
    expect(out.totalTokens).toBe(12)
  })
})

describe("createOpenAIAccumulator", () => {
  test("captures usage from final chunk", () => {
    const acc = createOpenAIAccumulator()
    acc.feed({ choices: [{ delta: { content: "hi" } }] })
    acc.feed({
      choices: [],
      usage: {
        prompt_tokens: 10,
        completion_tokens: 5,
        total_tokens: 15,
      },
    })
    const out = acc.finalize()
    expect(out.inputTokens).toBe(10)
    expect(out.outputTokens).toBe(5)
  })

  test("throws when usage chunk never arrives", () => {
    const acc = createOpenAIAccumulator()
    acc.feed({ choices: [{ delta: { content: "hi" } }] })
    expect(() => acc.finalize()).toThrow(UsageMissingError)
  })
})

describe("createAnthropicAccumulator", () => {
  test("aggregates message_start + message_delta", () => {
    const acc = createAnthropicAccumulator()
    acc.feed({
      type: "message_start",
      message: {
        usage: {
          input_tokens: 50,
          cache_creation_input_tokens: 10,
          cache_read_input_tokens: 20,
          output_tokens: 1,
        },
      },
    })
    acc.feed({
      type: "content_block_delta",
      delta: { type: "text_delta", text: "a" },
    })
    acc.feed({ type: "message_delta", usage: { output_tokens: 7 } })
    acc.feed({ type: "message_delta", usage: { output_tokens: 12 } })
    const out = acc.finalize()
    expect(out.inputTokens).toBe(60)
    expect(out.cachedInputTokens).toBe(20)
    expect(out.outputTokens).toBe(12)
    expect(out.totalTokens).toBe(72)
  })

  test("returns sane zeros if only message_start arrived", () => {
    const acc = createAnthropicAccumulator()
    acc.feed({
      type: "message_start",
      message: { usage: { input_tokens: 5, output_tokens: 1 } },
    })
    const out = acc.finalize()
    expect(out.inputTokens).toBe(5)
    expect(out.outputTokens).toBe(1)
  })

  test("returns zeros when nothing arrives", () => {
    const acc = createAnthropicAccumulator()
    const out = acc.finalize()
    expect(out).toEqual({
      inputTokens: 0,
      cachedInputTokens: 0,
      outputTokens: 0,
      reasoningTokens: 0,
      totalTokens: 0,
    })
  })
})