File size: 6,033 Bytes
f0743f4 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | import { extractLibreChatParams } from './llm';
describe('extractLibreChatParams', () => {
it('should return defaults when options is undefined', () => {
const result = extractLibreChatParams(undefined);
expect(result.resendFiles).toBe(true);
expect(result.promptPrefix).toBeUndefined();
expect(result.maxContextTokens).toBeUndefined();
expect(result.fileTokenLimit).toBeUndefined();
expect(result.modelLabel).toBeUndefined();
expect(result.modelOptions).toEqual({});
});
it('should return defaults when options is null', () => {
const result = extractLibreChatParams();
expect(result.resendFiles).toBe(true);
expect(result.promptPrefix).toBeUndefined();
expect(result.maxContextTokens).toBeUndefined();
expect(result.fileTokenLimit).toBeUndefined();
expect(result.modelLabel).toBeUndefined();
expect(result.modelOptions).toEqual({});
});
it('should extract all LibreChat params and leave model options', () => {
const options = {
resendFiles: false,
promptPrefix: 'You are a helpful assistant',
maxContextTokens: 4096,
fileTokenLimit: 50000,
modelLabel: 'GPT-4',
model: 'gpt-4',
temperature: 0.7,
max_tokens: 1000,
};
const result = extractLibreChatParams(options);
expect(result.resendFiles).toBe(false);
expect(result.promptPrefix).toBe('You are a helpful assistant');
expect(result.maxContextTokens).toBe(4096);
expect(result.fileTokenLimit).toBe(50000);
expect(result.modelLabel).toBe('GPT-4');
expect(result.modelOptions).toEqual({
model: 'gpt-4',
temperature: 0.7,
max_tokens: 1000,
});
});
it('should handle null values for LibreChat params', () => {
const options = {
resendFiles: true,
promptPrefix: null,
maxContextTokens: 2048,
fileTokenLimit: undefined,
modelLabel: null,
model: 'claude-3',
};
const result = extractLibreChatParams(options);
expect(result.resendFiles).toBe(true);
expect(result.promptPrefix).toBeNull();
expect(result.maxContextTokens).toBe(2048);
expect(result.fileTokenLimit).toBeUndefined();
expect(result.modelLabel).toBeNull();
expect(result.modelOptions).toEqual({
model: 'claude-3',
});
});
it('should use default for resendFiles when not provided', () => {
const options = {
promptPrefix: 'Test prefix',
model: 'gpt-3.5-turbo',
temperature: 0.5,
};
const result = extractLibreChatParams(options);
expect(result.resendFiles).toBe(true); // Should use default
expect(result.promptPrefix).toBe('Test prefix');
expect(result.maxContextTokens).toBeUndefined();
expect(result.fileTokenLimit).toBeUndefined();
expect(result.modelLabel).toBeUndefined();
expect(result.modelOptions).toEqual({
model: 'gpt-3.5-turbo',
temperature: 0.5,
});
});
it('should handle empty options object', () => {
const result = extractLibreChatParams({});
expect(result.resendFiles).toBe(true); // Should use default
expect(result.promptPrefix).toBeUndefined();
expect(result.maxContextTokens).toBeUndefined();
expect(result.fileTokenLimit).toBeUndefined();
expect(result.modelLabel).toBeUndefined();
expect(result.modelOptions).toEqual({});
});
it('should only extract known LibreChat params', () => {
const options = {
resendFiles: false,
promptPrefix: 'Custom prompt',
maxContextTokens: 8192,
fileTokenLimit: 25000,
modelLabel: 'Custom Model',
// Model options
model: 'gpt-4',
temperature: 0.9,
top_p: 0.95,
frequency_penalty: 0.5,
presence_penalty: 0.5,
// Unknown params should stay in modelOptions
unknownParam: 'should remain',
customSetting: 123,
};
const result = extractLibreChatParams(options);
// LibreChat params extracted
expect(result.resendFiles).toBe(false);
expect(result.promptPrefix).toBe('Custom prompt');
expect(result.maxContextTokens).toBe(8192);
expect(result.fileTokenLimit).toBe(25000);
expect(result.modelLabel).toBe('Custom Model');
// Model options should include everything else
expect(result.modelOptions).toEqual({
model: 'gpt-4',
temperature: 0.9,
top_p: 0.95,
frequency_penalty: 0.5,
presence_penalty: 0.5,
unknownParam: 'should remain',
customSetting: 123,
});
});
it('should not mutate the original options object', () => {
const options = {
resendFiles: false,
promptPrefix: 'Test',
model: 'gpt-4',
temperature: 0.7,
};
const originalOptions = { ...options };
extractLibreChatParams(options);
// Original object should remain unchanged
expect(options).toEqual(originalOptions);
});
it('should handle undefined values for optional LibreChat params', () => {
const options = {
resendFiles: false,
promptPrefix: undefined,
maxContextTokens: undefined,
modelLabel: undefined,
model: 'claude-2',
};
const result = extractLibreChatParams(options);
expect(result.resendFiles).toBe(false);
expect(result.promptPrefix).toBeUndefined();
expect(result.maxContextTokens).toBeUndefined();
expect(result.modelLabel).toBeUndefined();
expect(result.modelOptions).toEqual({
model: 'claude-2',
});
});
it('should handle mixed null and undefined values', () => {
const options = {
promptPrefix: null,
maxContextTokens: undefined,
modelLabel: null,
model: 'gpt-3.5-turbo',
stop: ['\\n', '\\n\\n'],
};
const result = extractLibreChatParams(options);
expect(result.resendFiles).toBe(true); // default
expect(result.promptPrefix).toBeNull();
expect(result.maxContextTokens).toBeUndefined();
expect(result.modelLabel).toBeNull();
expect(result.modelOptions).toEqual({
model: 'gpt-3.5-turbo',
stop: ['\\n', '\\n\\n'],
});
});
});
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