File size: 5,915 Bytes
aa2e6af | 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 | const { getValueKey, getMultiplier, defaultRate, tokenValues } = require('./tx');
describe('getValueKey', () => {
it('should return "16k" for model name containing "gpt-3.5-turbo-16k"', () => {
expect(getValueKey('gpt-3.5-turbo-16k-some-other-info')).toBe('16k');
});
it('should return "4k" for model name containing "gpt-3.5"', () => {
expect(getValueKey('gpt-3.5-some-other-info')).toBe('4k');
});
it('should return "32k" for model name containing "gpt-4-32k"', () => {
expect(getValueKey('gpt-4-32k-some-other-info')).toBe('32k');
});
it('should return "8k" for model name containing "gpt-4"', () => {
expect(getValueKey('gpt-4-some-other-info')).toBe('8k');
});
it('should return undefined for model names that do not match any known patterns', () => {
expect(getValueKey('gpt-5-some-other-info')).toBeUndefined();
});
it('should return "gpt-3.5-turbo-1106" for model name containing "gpt-3.5-turbo-1106"', () => {
expect(getValueKey('gpt-3.5-turbo-1106-some-other-info')).toBe('gpt-3.5-turbo-1106');
expect(getValueKey('openai/gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
expect(getValueKey('gpt-3.5-turbo-1106/openai')).toBe('gpt-3.5-turbo-1106');
});
it('should return "gpt-4-1106" for model name containing "gpt-4-1106"', () => {
expect(getValueKey('gpt-4-1106-some-other-info')).toBe('gpt-4-1106');
expect(getValueKey('gpt-4-1106-vision-preview')).toBe('gpt-4-1106');
expect(getValueKey('gpt-4-1106-preview')).toBe('gpt-4-1106');
expect(getValueKey('openai/gpt-4-1106')).toBe('gpt-4-1106');
expect(getValueKey('gpt-4-1106/openai/')).toBe('gpt-4-1106');
});
it('should return "gpt-4-1106" for model type of "gpt-4-1106"', () => {
expect(getValueKey('gpt-4-vision-preview')).toBe('gpt-4-1106');
expect(getValueKey('openai/gpt-4-1106')).toBe('gpt-4-1106');
expect(getValueKey('gpt-4-turbo')).toBe('gpt-4-1106');
expect(getValueKey('gpt-4-0125')).toBe('gpt-4-1106');
});
it('should return "gpt-4o" for model type of "gpt-4o"', () => {
expect(getValueKey('gpt-4o-2024-05-13')).toBe('gpt-4o');
expect(getValueKey('openai/gpt-4o')).toBe('gpt-4o');
expect(getValueKey('gpt-4o-turbo')).toBe('gpt-4o');
expect(getValueKey('gpt-4o-0125')).toBe('gpt-4o');
});
it('should return "claude-3-5-sonnet" for model type of "claude-3-5-sonnet-"', () => {
expect(getValueKey('claude-3-5-sonnet-20240620')).toBe('claude-3-5-sonnet');
expect(getValueKey('anthropic/claude-3-5-sonnet')).toBe('claude-3-5-sonnet');
expect(getValueKey('claude-3-5-sonnet-turbo')).toBe('claude-3-5-sonnet');
expect(getValueKey('claude-3-5-sonnet-0125')).toBe('claude-3-5-sonnet');
});
});
describe('getMultiplier', () => {
it('should return the correct multiplier for a given valueKey and tokenType', () => {
expect(getMultiplier({ valueKey: '8k', tokenType: 'prompt' })).toBe(tokenValues['8k'].prompt);
expect(getMultiplier({ valueKey: '8k', tokenType: 'completion' })).toBe(
tokenValues['8k'].completion,
);
});
it('should return defaultRate if tokenType is provided but not found in tokenValues', () => {
expect(getMultiplier({ valueKey: '8k', tokenType: 'unknownType' })).toBe(defaultRate);
});
it('should derive the valueKey from the model if not provided', () => {
expect(getMultiplier({ tokenType: 'prompt', model: 'gpt-4-some-other-info' })).toBe(
tokenValues['8k'].prompt,
);
});
it('should return 1 if only model or tokenType is missing', () => {
expect(getMultiplier({ tokenType: 'prompt' })).toBe(1);
expect(getMultiplier({ model: 'gpt-4-some-other-info' })).toBe(1);
});
it('should return the correct multiplier for gpt-3.5-turbo-1106', () => {
expect(getMultiplier({ valueKey: 'gpt-3.5-turbo-1106', tokenType: 'prompt' })).toBe(
tokenValues['gpt-3.5-turbo-1106'].prompt,
);
expect(getMultiplier({ valueKey: 'gpt-3.5-turbo-1106', tokenType: 'completion' })).toBe(
tokenValues['gpt-3.5-turbo-1106'].completion,
);
});
it('should return the correct multiplier for gpt-4-1106', () => {
expect(getMultiplier({ valueKey: 'gpt-4-1106', tokenType: 'prompt' })).toBe(
tokenValues['gpt-4-1106'].prompt,
);
expect(getMultiplier({ valueKey: 'gpt-4-1106', tokenType: 'completion' })).toBe(
tokenValues['gpt-4-1106'].completion,
);
});
it('should return the correct multiplier for gpt-4o', () => {
const valueKey = getValueKey('gpt-4o-2024-05-13');
expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-4o'].prompt);
expect(getMultiplier({ valueKey, tokenType: 'completion' })).toBe(
tokenValues['gpt-4o'].completion,
);
expect(getMultiplier({ valueKey, tokenType: 'completion' })).not.toBe(
tokenValues['gpt-4-1106'].completion,
);
});
it('should derive the valueKey from the model if not provided for new models', () => {
expect(
getMultiplier({ tokenType: 'prompt', model: 'gpt-3.5-turbo-1106-some-other-info' }),
).toBe(tokenValues['gpt-3.5-turbo-1106'].prompt);
expect(getMultiplier({ tokenType: 'completion', model: 'gpt-4-1106-vision-preview' })).toBe(
tokenValues['gpt-4-1106'].completion,
);
expect(getMultiplier({ tokenType: 'completion', model: 'gpt-4-0125-preview' })).toBe(
tokenValues['gpt-4-1106'].completion,
);
expect(getMultiplier({ tokenType: 'completion', model: 'gpt-4-turbo-vision-preview' })).toBe(
tokenValues['gpt-4-1106'].completion,
);
expect(getMultiplier({ tokenType: 'completion', model: 'gpt-3.5-turbo-0125' })).toBe(
tokenValues['gpt-3.5-turbo-0125'].completion,
);
});
it('should return defaultRate if derived valueKey does not match any known patterns', () => {
expect(getMultiplier({ tokenType: 'prompt', model: 'gpt-5-some-other-info' })).toBe(
defaultRate,
);
});
});
|