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https://github.com/danny-avila/LibreChat.git
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* adding beta header context-1m-2025-08-07 to claude sonnet 4 to increase contact window to 1M tokens * adding context-1m beta header to test cases * ci: Update Anthropic `getLLMConfig` tests and headers for model variations - Refactored test cases to ensure proper handling of model variations for 'claude-sonnet-4'. - Cleaned up unused mock implementations in tests for better clarity and performance. * refactor: regex in header retrieval for 'claude-sonnet-4' models * refactor: default tokens for 'claude-sonnet-4' to `1,000,000` * refactor: add token value retrieval and pattern matching to model tests --------- Co-authored-by: Dirk Petersen <no-reply@nowhere.com>
851 lines
34 KiB
JavaScript
851 lines
34 KiB
JavaScript
const { EModelEndpoint } = require('librechat-data-provider');
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const {
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maxOutputTokensMap,
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findMatchingPattern,
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getModelMaxTokens,
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processModelData,
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matchModelName,
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maxTokensMap,
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} = require('./tokens');
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describe('getModelMaxTokens', () => {
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test('should return correct tokens for exact match', () => {
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expect(getModelMaxTokens('gpt-4-32k-0613')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-32k-0613'],
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);
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});
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test('should return correct tokens for partial match', () => {
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expect(getModelMaxTokens('gpt-4-32k-unknown')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-32k'],
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);
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});
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test('should return correct tokens for partial match (OpenRouter)', () => {
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expect(getModelMaxTokens('openai/gpt-4-32k')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-32k'],
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);
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});
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test('should return undefined for no match', () => {
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expect(getModelMaxTokens('unknown-model')).toBeUndefined();
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});
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test('should return correct tokens for another exact match', () => {
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expect(getModelMaxTokens('gpt-3.5-turbo-16k-0613')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-16k-0613'],
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);
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});
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test('should return correct tokens for another partial match', () => {
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expect(getModelMaxTokens('gpt-3.5-turbo-unknown')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo'],
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);
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});
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test('should return undefined for undefined input', () => {
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expect(getModelMaxTokens(undefined)).toBeUndefined();
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});
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test('should return undefined for null input', () => {
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expect(getModelMaxTokens(null)).toBeUndefined();
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});
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test('should return undefined for number input', () => {
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expect(getModelMaxTokens(123)).toBeUndefined();
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});
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// 11/06 Update
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test('should return correct tokens for gpt-3.5-turbo-1106 exact match', () => {
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expect(getModelMaxTokens('gpt-3.5-turbo-1106')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-1106'],
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);
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});
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test('should return correct tokens for gpt-4-1106 exact match', () => {
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expect(getModelMaxTokens('gpt-4-1106')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106']);
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});
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test('should return correct tokens for gpt-4-vision exact match', () => {
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expect(getModelMaxTokens('gpt-4-vision')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-vision'],
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);
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});
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test('should return correct tokens for gpt-3.5-turbo-1106 partial match', () => {
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expect(getModelMaxTokens('something-/gpt-3.5-turbo-1106')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-1106'],
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);
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expect(getModelMaxTokens('gpt-3.5-turbo-1106/something-/')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-1106'],
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);
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});
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test('should return correct tokens for gpt-4-1106 partial match', () => {
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expect(getModelMaxTokens('gpt-4-1106/something')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106'],
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);
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expect(getModelMaxTokens('gpt-4-1106-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106'],
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);
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expect(getModelMaxTokens('gpt-4-1106-vision-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106'],
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);
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});
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// 01/25 Update
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test('should return correct tokens for gpt-4-turbo/0125 matches', () => {
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expect(getModelMaxTokens('gpt-4-turbo')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-turbo'],
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);
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expect(getModelMaxTokens('gpt-4-turbo-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-turbo'],
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);
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expect(getModelMaxTokens('gpt-4-0125')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-4-0125']);
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expect(getModelMaxTokens('gpt-4-0125-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4-0125'],
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);
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expect(getModelMaxTokens('gpt-3.5-turbo-0125')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-0125'],
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);
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});
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test('should return correct tokens for gpt-4.5 matches', () => {
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expect(getModelMaxTokens('gpt-4.5')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-4.5']);
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expect(getModelMaxTokens('gpt-4.5-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.5'],
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);
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expect(getModelMaxTokens('openai/gpt-4.5-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.5'],
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);
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});
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test('should return correct tokens for gpt-4.1 matches', () => {
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expect(getModelMaxTokens('gpt-4.1')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-4.1']);
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expect(getModelMaxTokens('gpt-4.1-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1'],
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);
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expect(getModelMaxTokens('openai/gpt-4.1')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1'],
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);
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expect(getModelMaxTokens('gpt-4.1-2024-08-06')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1'],
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);
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});
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test('should return correct tokens for gpt-4.1-mini matches', () => {
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expect(getModelMaxTokens('gpt-4.1-mini')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1-mini'],
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);
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expect(getModelMaxTokens('gpt-4.1-mini-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1-mini'],
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);
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expect(getModelMaxTokens('openai/gpt-4.1-mini')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1-mini'],
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);
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});
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test('should return correct tokens for gpt-4.1-nano matches', () => {
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expect(getModelMaxTokens('gpt-4.1-nano')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1-nano'],
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);
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expect(getModelMaxTokens('gpt-4.1-nano-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1-nano'],
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);
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expect(getModelMaxTokens('openai/gpt-4.1-nano')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-4.1-nano'],
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);
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});
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test('should return correct tokens for gpt-5 matches', () => {
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expect(getModelMaxTokens('gpt-5')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5']);
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expect(getModelMaxTokens('gpt-5-preview')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5']);
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expect(getModelMaxTokens('openai/gpt-5')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5']);
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expect(getModelMaxTokens('gpt-5-2025-01-30')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5'],
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);
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});
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test('should return correct tokens for gpt-5-mini matches', () => {
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expect(getModelMaxTokens('gpt-5-mini')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5-mini']);
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expect(getModelMaxTokens('gpt-5-mini-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5-mini'],
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);
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expect(getModelMaxTokens('openai/gpt-5-mini')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5-mini'],
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);
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});
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test('should return correct tokens for gpt-5-nano matches', () => {
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expect(getModelMaxTokens('gpt-5-nano')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-5-nano']);
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expect(getModelMaxTokens('gpt-5-nano-preview')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5-nano'],
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);
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expect(getModelMaxTokens('openai/gpt-5-nano')).toBe(
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maxTokensMap[EModelEndpoint.openAI]['gpt-5-nano'],
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);
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});
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test('should return correct tokens for Anthropic models', () => {
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const models = [
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'claude-2.1',
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'claude-2',
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'claude-1.2',
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'claude-1',
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'claude-1-100k',
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'claude-instant-1',
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'claude-instant-1-100k',
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'claude-3-haiku',
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'claude-3-sonnet',
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'claude-3-opus',
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'claude-3-5-sonnet',
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'claude-3-7-sonnet',
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];
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const maxTokens = {
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'claude-': maxTokensMap[EModelEndpoint.anthropic]['claude-'],
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'claude-2.1': maxTokensMap[EModelEndpoint.anthropic]['claude-2.1'],
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'claude-3': maxTokensMap[EModelEndpoint.anthropic]['claude-3-sonnet'],
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};
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models.forEach((model) => {
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let expectedTokens;
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if (model === 'claude-2.1') {
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expectedTokens = maxTokens['claude-2.1'];
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} else if (model.startsWith('claude-3')) {
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expectedTokens = maxTokens['claude-3'];
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} else {
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expectedTokens = maxTokens['claude-'];
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}
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expect(getModelMaxTokens(model, EModelEndpoint.anthropic)).toEqual(expectedTokens);
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});
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});
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// Tests for Google models
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test('should return correct tokens for exact match - Google models', () => {
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expect(getModelMaxTokens('text-bison-32k', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['text-bison-32k'],
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);
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expect(getModelMaxTokens('codechat-bison-32k', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['codechat-bison-32k'],
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);
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});
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test('should return undefined for no match - Google models', () => {
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expect(getModelMaxTokens('unknown-google-model', EModelEndpoint.google)).toBeUndefined();
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});
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test('should return correct tokens for partial match - Google models', () => {
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expect(getModelMaxTokens('gemini-2.0-flash-lite-preview-02-05', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-2.0-flash-lite'],
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);
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expect(getModelMaxTokens('gemini-2.0-flash-001', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-2.0-flash'],
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);
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expect(getModelMaxTokens('gemini-2.0-flash-exp', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-2.0-flash'],
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);
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expect(getModelMaxTokens('gemini-2.0-pro-exp-02-05', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-2.0'],
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);
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expect(getModelMaxTokens('gemini-1.5-flash-8b', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-1.5-flash-8b'],
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);
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expect(getModelMaxTokens('gemini-1.5-flash-thinking', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-1.5-flash'],
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);
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expect(getModelMaxTokens('gemini-1.5-pro-latest', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-1.5'],
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);
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expect(getModelMaxTokens('gemini-1.5-pro-preview-0409', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-1.5'],
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);
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expect(getModelMaxTokens('gemini-pro-vision', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini-pro-vision'],
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);
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expect(getModelMaxTokens('gemini-1.0', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini'],
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);
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expect(getModelMaxTokens('gemini-pro', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['gemini'],
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);
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expect(getModelMaxTokens('code-', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['code-'],
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);
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expect(getModelMaxTokens('chat-', EModelEndpoint.google)).toBe(
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maxTokensMap[EModelEndpoint.google]['chat-'],
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);
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});
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test('should return correct tokens for partial match - Cohere models', () => {
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expect(getModelMaxTokens('command', EModelEndpoint.custom)).toBe(
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maxTokensMap[EModelEndpoint.custom]['command'],
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);
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expect(getModelMaxTokens('command-r-plus', EModelEndpoint.custom)).toBe(
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maxTokensMap[EModelEndpoint.custom]['command-r-plus'],
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);
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});
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test('should return correct tokens when using a custom endpointTokenConfig', () => {
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const customTokenConfig = {
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'custom-model': 12345,
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};
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expect(getModelMaxTokens('custom-model', EModelEndpoint.openAI, customTokenConfig)).toBe(12345);
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});
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test('should prioritize endpointTokenConfig over the default configuration', () => {
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const customTokenConfig = {
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'gpt-4-32k': 9999,
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};
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expect(getModelMaxTokens('gpt-4-32k', EModelEndpoint.openAI, customTokenConfig)).toBe(9999);
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});
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test('should return undefined if the model is not found in custom endpointTokenConfig', () => {
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const customTokenConfig = {
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'custom-model': 12345,
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};
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expect(
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getModelMaxTokens('nonexistent-model', EModelEndpoint.openAI, customTokenConfig),
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).toBeUndefined();
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});
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test('should return correct tokens for exact match in azureOpenAI models', () => {
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expect(getModelMaxTokens('gpt-4-turbo', EModelEndpoint.azureOpenAI)).toBe(
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maxTokensMap[EModelEndpoint.azureOpenAI]['gpt-4-turbo'],
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);
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});
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test('should return undefined for no match in azureOpenAI models', () => {
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expect(
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getModelMaxTokens('nonexistent-azure-model', EModelEndpoint.azureOpenAI),
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).toBeUndefined();
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});
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test('should return undefined for undefined, null, or number model argument with azureOpenAI endpoint', () => {
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expect(getModelMaxTokens(undefined, EModelEndpoint.azureOpenAI)).toBeUndefined();
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expect(getModelMaxTokens(null, EModelEndpoint.azureOpenAI)).toBeUndefined();
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expect(getModelMaxTokens(1234, EModelEndpoint.azureOpenAI)).toBeUndefined();
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});
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test('should respect custom endpointTokenConfig over azureOpenAI defaults', () => {
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const customTokenConfig = {
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'custom-azure-model': 4096,
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};
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expect(
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getModelMaxTokens('custom-azure-model', EModelEndpoint.azureOpenAI, customTokenConfig),
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).toBe(4096);
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});
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test('should return correct tokens for partial match with custom endpointTokenConfig in azureOpenAI', () => {
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const customTokenConfig = {
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'azure-custom-': 1024,
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};
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expect(
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getModelMaxTokens('azure-custom-gpt-3', EModelEndpoint.azureOpenAI, customTokenConfig),
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).toBe(1024);
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});
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test('should return undefined for a model when using an unsupported endpoint', () => {
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expect(getModelMaxTokens('azure-gpt-3', 'unsupportedEndpoint')).toBeUndefined();
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});
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test('should return correct max context tokens for o1-series models', () => {
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// Standard o1 variations
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const o1Tokens = maxTokensMap[EModelEndpoint.openAI]['o1'];
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expect(getModelMaxTokens('o1')).toBe(o1Tokens);
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expect(getModelMaxTokens('o1-latest')).toBe(o1Tokens);
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expect(getModelMaxTokens('o1-2024-12-17')).toBe(o1Tokens);
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expect(getModelMaxTokens('o1-something-else')).toBe(o1Tokens);
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expect(getModelMaxTokens('openai/o1-something-else')).toBe(o1Tokens);
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// Mini variations
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const o1MiniTokens = maxTokensMap[EModelEndpoint.openAI]['o1-mini'];
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expect(getModelMaxTokens('o1-mini')).toBe(o1MiniTokens);
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expect(getModelMaxTokens('o1-mini-latest')).toBe(o1MiniTokens);
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expect(getModelMaxTokens('o1-mini-2024-09-12')).toBe(o1MiniTokens);
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expect(getModelMaxTokens('o1-mini-something')).toBe(o1MiniTokens);
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expect(getModelMaxTokens('openai/o1-mini-something')).toBe(o1MiniTokens);
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// Preview variations
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const o1PreviewTokens = maxTokensMap[EModelEndpoint.openAI]['o1-preview'];
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expect(getModelMaxTokens('o1-preview')).toBe(o1PreviewTokens);
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expect(getModelMaxTokens('o1-preview-latest')).toBe(o1PreviewTokens);
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expect(getModelMaxTokens('o1-preview-2024-09-12')).toBe(o1PreviewTokens);
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expect(getModelMaxTokens('o1-preview-something')).toBe(o1PreviewTokens);
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expect(getModelMaxTokens('openai/o1-preview-something')).toBe(o1PreviewTokens);
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});
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test('should return correct max context tokens for o4-mini and o3', () => {
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const o4MiniTokens = maxTokensMap[EModelEndpoint.openAI]['o4-mini'];
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const o3Tokens = maxTokensMap[EModelEndpoint.openAI]['o3'];
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expect(getModelMaxTokens('o4-mini')).toBe(o4MiniTokens);
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expect(getModelMaxTokens('openai/o4-mini')).toBe(o4MiniTokens);
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expect(getModelMaxTokens('o3')).toBe(o3Tokens);
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expect(getModelMaxTokens('openai/o3')).toBe(o3Tokens);
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});
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test('should return correct tokens for GPT-OSS models', () => {
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const expected = maxTokensMap[EModelEndpoint.openAI]['gpt-oss-20b'];
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['gpt-oss-20b', 'gpt-oss-120b', 'openai/gpt-oss-20b', 'openai/gpt-oss-120b'].forEach((name) => {
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expect(getModelMaxTokens(name)).toBe(expected);
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});
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});
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test('should return correct max output tokens for GPT-5 models', () => {
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const { getModelMaxOutputTokens } = require('./tokens');
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['gpt-5', 'gpt-5-mini', 'gpt-5-nano'].forEach((model) => {
|
|
expect(getModelMaxOutputTokens(model)).toBe(maxOutputTokensMap[EModelEndpoint.openAI][model]);
|
|
expect(getModelMaxOutputTokens(model, EModelEndpoint.openAI)).toBe(
|
|
maxOutputTokensMap[EModelEndpoint.openAI][model],
|
|
);
|
|
expect(getModelMaxOutputTokens(model, EModelEndpoint.azureOpenAI)).toBe(
|
|
maxOutputTokensMap[EModelEndpoint.azureOpenAI][model],
|
|
);
|
|
});
|
|
});
|
|
|
|
test('should return correct max output tokens for GPT-OSS models', () => {
|
|
const { getModelMaxOutputTokens } = require('./tokens');
|
|
['gpt-oss-20b', 'gpt-oss-120b'].forEach((model) => {
|
|
expect(getModelMaxOutputTokens(model)).toBe(maxOutputTokensMap[EModelEndpoint.openAI][model]);
|
|
expect(getModelMaxOutputTokens(model, EModelEndpoint.openAI)).toBe(
|
|
maxOutputTokensMap[EModelEndpoint.openAI][model],
|
|
);
|
|
expect(getModelMaxOutputTokens(model, EModelEndpoint.azureOpenAI)).toBe(
|
|
maxOutputTokensMap[EModelEndpoint.azureOpenAI][model],
|
|
);
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('matchModelName', () => {
|
|
it('should return the exact model name if it exists in maxTokensMap', () => {
|
|
expect(matchModelName('gpt-4-32k-0613')).toBe('gpt-4-32k-0613');
|
|
});
|
|
|
|
it('should return the closest matching key for partial matches', () => {
|
|
expect(matchModelName('gpt-4-32k-unknown')).toBe('gpt-4-32k');
|
|
});
|
|
|
|
it('should return the input model name if no match is found', () => {
|
|
expect(matchModelName('unknown-model')).toBe('unknown-model');
|
|
});
|
|
|
|
it('should return undefined for non-string inputs', () => {
|
|
expect(matchModelName(undefined)).toBeUndefined();
|
|
expect(matchModelName(null)).toBeUndefined();
|
|
expect(matchModelName(123)).toBeUndefined();
|
|
expect(matchModelName({})).toBeUndefined();
|
|
});
|
|
|
|
// 11/06 Update
|
|
it('should return the exact model name for gpt-3.5-turbo-1106 if it exists in maxTokensMap', () => {
|
|
expect(matchModelName('gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
|
|
});
|
|
|
|
it('should return the exact model name for gpt-4-1106 if it exists in maxTokensMap', () => {
|
|
expect(matchModelName('gpt-4-1106')).toBe('gpt-4-1106');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-3.5-turbo-1106 partial matches', () => {
|
|
expect(matchModelName('gpt-3.5-turbo-1106/something')).toBe('gpt-3.5-turbo-1106');
|
|
expect(matchModelName('something/gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-4-1106 partial matches', () => {
|
|
expect(matchModelName('gpt-4-1106/something')).toBe('gpt-4-1106');
|
|
expect(matchModelName('gpt-4-1106-preview')).toBe('gpt-4-1106');
|
|
expect(matchModelName('gpt-4-1106-vision-preview')).toBe('gpt-4-1106');
|
|
});
|
|
|
|
// 01/25 Update
|
|
it('should return the closest matching key for gpt-4-turbo/0125 matches', () => {
|
|
expect(matchModelName('openai/gpt-4-0125')).toBe('gpt-4-0125');
|
|
expect(matchModelName('gpt-4-turbo-preview')).toBe('gpt-4-turbo');
|
|
expect(matchModelName('gpt-4-turbo-vision-preview')).toBe('gpt-4-turbo');
|
|
expect(matchModelName('gpt-4-0125')).toBe('gpt-4-0125');
|
|
expect(matchModelName('gpt-4-0125-preview')).toBe('gpt-4-0125');
|
|
expect(matchModelName('gpt-4-0125-vision-preview')).toBe('gpt-4-0125');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-4.1 matches', () => {
|
|
expect(matchModelName('openai/gpt-4.1')).toBe('gpt-4.1');
|
|
expect(matchModelName('gpt-4.1-preview')).toBe('gpt-4.1');
|
|
expect(matchModelName('gpt-4.1-2024-08-06')).toBe('gpt-4.1');
|
|
expect(matchModelName('gpt-4.1-2024-08-06-0718')).toBe('gpt-4.1');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-4.1-mini matches', () => {
|
|
expect(matchModelName('openai/gpt-4.1-mini')).toBe('gpt-4.1-mini');
|
|
expect(matchModelName('gpt-4.1-mini-preview')).toBe('gpt-4.1-mini');
|
|
expect(matchModelName('gpt-4.1-mini-2024-08-06')).toBe('gpt-4.1-mini');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-4.1-nano matches', () => {
|
|
expect(matchModelName('openai/gpt-4.1-nano')).toBe('gpt-4.1-nano');
|
|
expect(matchModelName('gpt-4.1-nano-preview')).toBe('gpt-4.1-nano');
|
|
expect(matchModelName('gpt-4.1-nano-2024-08-06')).toBe('gpt-4.1-nano');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-5 matches', () => {
|
|
expect(matchModelName('openai/gpt-5')).toBe('gpt-5');
|
|
expect(matchModelName('gpt-5-preview')).toBe('gpt-5');
|
|
expect(matchModelName('gpt-5-2025-01-30')).toBe('gpt-5');
|
|
expect(matchModelName('gpt-5-2025-01-30-0130')).toBe('gpt-5');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-5-mini matches', () => {
|
|
expect(matchModelName('openai/gpt-5-mini')).toBe('gpt-5-mini');
|
|
expect(matchModelName('gpt-5-mini-preview')).toBe('gpt-5-mini');
|
|
expect(matchModelName('gpt-5-mini-2025-01-30')).toBe('gpt-5-mini');
|
|
});
|
|
|
|
it('should return the closest matching key for gpt-5-nano matches', () => {
|
|
expect(matchModelName('openai/gpt-5-nano')).toBe('gpt-5-nano');
|
|
expect(matchModelName('gpt-5-nano-preview')).toBe('gpt-5-nano');
|
|
expect(matchModelName('gpt-5-nano-2025-01-30')).toBe('gpt-5-nano');
|
|
});
|
|
|
|
// Tests for Google models
|
|
it('should return the exact model name if it exists in maxTokensMap - Google models', () => {
|
|
expect(matchModelName('text-bison-32k', EModelEndpoint.google)).toBe('text-bison-32k');
|
|
expect(matchModelName('codechat-bison-32k', EModelEndpoint.google)).toBe('codechat-bison-32k');
|
|
});
|
|
|
|
it('should return the input model name if no match is found - Google models', () => {
|
|
expect(matchModelName('unknown-google-model', EModelEndpoint.google)).toBe(
|
|
'unknown-google-model',
|
|
);
|
|
});
|
|
|
|
it('should return the closest matching key for partial matches - Google models', () => {
|
|
expect(matchModelName('code-', EModelEndpoint.google)).toBe('code-');
|
|
expect(matchModelName('chat-', EModelEndpoint.google)).toBe('chat-');
|
|
});
|
|
});
|
|
|
|
describe('Meta Models Tests', () => {
|
|
describe('getModelMaxTokens', () => {
|
|
test('should return correct tokens for LLaMa 2 models', () => {
|
|
expect(getModelMaxTokens('llama2')).toBe(4000);
|
|
expect(getModelMaxTokens('llama2.70b')).toBe(4000);
|
|
expect(getModelMaxTokens('llama2-13b')).toBe(4000);
|
|
expect(getModelMaxTokens('llama2-70b')).toBe(4000);
|
|
});
|
|
|
|
test('should return correct tokens for LLaMa 3 models', () => {
|
|
expect(getModelMaxTokens('llama3')).toBe(8000);
|
|
expect(getModelMaxTokens('llama3.8b')).toBe(8000);
|
|
expect(getModelMaxTokens('llama3.70b')).toBe(8000);
|
|
expect(getModelMaxTokens('llama3-8b')).toBe(8000);
|
|
expect(getModelMaxTokens('llama3-70b')).toBe(8000);
|
|
});
|
|
|
|
test('should return correct tokens for LLaMa 3.1 models', () => {
|
|
expect(getModelMaxTokens('llama3.1:8b')).toBe(127500);
|
|
expect(getModelMaxTokens('llama3.1:70b')).toBe(127500);
|
|
expect(getModelMaxTokens('llama3.1:405b')).toBe(127500);
|
|
expect(getModelMaxTokens('llama3-1-8b')).toBe(127500);
|
|
expect(getModelMaxTokens('llama3-1-70b')).toBe(127500);
|
|
expect(getModelMaxTokens('llama3-1-405b')).toBe(127500);
|
|
});
|
|
|
|
test('should handle partial matches for Meta models', () => {
|
|
// Test with full model names
|
|
expect(getModelMaxTokens('meta/llama3.1:405b')).toBe(127500);
|
|
expect(getModelMaxTokens('meta/llama3.1:70b')).toBe(127500);
|
|
expect(getModelMaxTokens('meta/llama3.1:8b')).toBe(127500);
|
|
expect(getModelMaxTokens('meta/llama3-1-8b')).toBe(127500);
|
|
|
|
// Test base versions
|
|
expect(getModelMaxTokens('meta/llama3.1')).toBe(127500);
|
|
expect(getModelMaxTokens('meta/llama3-1')).toBe(127500);
|
|
expect(getModelMaxTokens('meta/llama3')).toBe(8000);
|
|
expect(getModelMaxTokens('meta/llama2')).toBe(4000);
|
|
});
|
|
|
|
test('should match Deepseek model variations', () => {
|
|
expect(getModelMaxTokens('deepseek-chat')).toBe(
|
|
maxTokensMap[EModelEndpoint.openAI]['deepseek'],
|
|
);
|
|
expect(getModelMaxTokens('deepseek-coder')).toBe(
|
|
maxTokensMap[EModelEndpoint.openAI]['deepseek'],
|
|
);
|
|
expect(getModelMaxTokens('deepseek-reasoner')).toBe(
|
|
maxTokensMap[EModelEndpoint.openAI]['deepseek-reasoner'],
|
|
);
|
|
expect(getModelMaxTokens('deepseek.r1')).toBe(
|
|
maxTokensMap[EModelEndpoint.openAI]['deepseek.r1'],
|
|
);
|
|
});
|
|
});
|
|
|
|
describe('matchModelName', () => {
|
|
test('should match exact LLaMa model names', () => {
|
|
expect(matchModelName('llama2')).toBe('llama2');
|
|
expect(matchModelName('llama3')).toBe('llama3');
|
|
expect(matchModelName('llama3.1:8b')).toBe('llama3.1:8b');
|
|
});
|
|
|
|
test('should match LLaMa model variations', () => {
|
|
// Test full model names
|
|
expect(matchModelName('meta/llama3.1:405b')).toBe('llama3.1:405b');
|
|
expect(matchModelName('meta/llama3.1:70b')).toBe('llama3.1:70b');
|
|
expect(matchModelName('meta/llama3.1:8b')).toBe('llama3.1:8b');
|
|
expect(matchModelName('meta/llama3-1-8b')).toBe('llama3-1-8b');
|
|
|
|
// Test base versions
|
|
expect(matchModelName('meta/llama3.1')).toBe('llama3.1');
|
|
expect(matchModelName('meta/llama3-1')).toBe('llama3-1');
|
|
});
|
|
|
|
test('should handle custom endpoint for Meta models', () => {
|
|
expect(matchModelName('llama2', EModelEndpoint.bedrock)).toBe('llama2');
|
|
expect(matchModelName('llama3', EModelEndpoint.bedrock)).toBe('llama3');
|
|
expect(matchModelName('llama3.1:8b', EModelEndpoint.bedrock)).toBe('llama3.1:8b');
|
|
});
|
|
|
|
test('should match Deepseek model variations', () => {
|
|
expect(matchModelName('deepseek-chat')).toBe('deepseek');
|
|
expect(matchModelName('deepseek-coder')).toBe('deepseek');
|
|
});
|
|
});
|
|
|
|
describe('processModelData with Meta models', () => {
|
|
test('should process Meta model data correctly', () => {
|
|
const input = {
|
|
data: [
|
|
{
|
|
id: 'llama2',
|
|
pricing: {
|
|
prompt: '0.00001',
|
|
completion: '0.00003',
|
|
},
|
|
context_length: 4000,
|
|
},
|
|
{
|
|
id: 'llama3',
|
|
pricing: {
|
|
prompt: '0.00002',
|
|
completion: '0.00004',
|
|
},
|
|
context_length: 8000,
|
|
},
|
|
],
|
|
};
|
|
|
|
const result = processModelData(input);
|
|
expect(result.llama2).toEqual({
|
|
prompt: 10,
|
|
completion: 30,
|
|
context: 4000,
|
|
});
|
|
expect(result.llama3).toEqual({
|
|
prompt: 20,
|
|
completion: 40,
|
|
context: 8000,
|
|
});
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('Grok Model Tests - Tokens', () => {
|
|
describe('getModelMaxTokens', () => {
|
|
test('should return correct tokens for Grok vision models', () => {
|
|
expect(getModelMaxTokens('grok-2-vision-1212')).toBe(32768);
|
|
expect(getModelMaxTokens('grok-2-vision')).toBe(32768);
|
|
expect(getModelMaxTokens('grok-2-vision-latest')).toBe(32768);
|
|
});
|
|
|
|
test('should return correct tokens for Grok beta models', () => {
|
|
expect(getModelMaxTokens('grok-vision-beta')).toBe(8192);
|
|
expect(getModelMaxTokens('grok-beta')).toBe(131072);
|
|
});
|
|
|
|
test('should return correct tokens for Grok text models', () => {
|
|
expect(getModelMaxTokens('grok-2-1212')).toBe(131072);
|
|
expect(getModelMaxTokens('grok-2')).toBe(131072);
|
|
expect(getModelMaxTokens('grok-2-latest')).toBe(131072);
|
|
});
|
|
|
|
test('should return correct tokens for Grok 3 series models', () => {
|
|
expect(getModelMaxTokens('grok-3')).toBe(131072);
|
|
expect(getModelMaxTokens('grok-3-fast')).toBe(131072);
|
|
expect(getModelMaxTokens('grok-3-mini')).toBe(131072);
|
|
expect(getModelMaxTokens('grok-3-mini-fast')).toBe(131072);
|
|
});
|
|
|
|
test('should return correct tokens for Grok 4 model', () => {
|
|
expect(getModelMaxTokens('grok-4-0709')).toBe(256000);
|
|
});
|
|
|
|
test('should handle partial matches for Grok models with prefixes', () => {
|
|
// Vision models should match before general models
|
|
expect(getModelMaxTokens('xai/grok-2-vision-1212')).toBe(32768);
|
|
expect(getModelMaxTokens('xai/grok-2-vision')).toBe(32768);
|
|
expect(getModelMaxTokens('xai/grok-2-vision-latest')).toBe(32768);
|
|
// Beta models
|
|
expect(getModelMaxTokens('xai/grok-vision-beta')).toBe(8192);
|
|
expect(getModelMaxTokens('xai/grok-beta')).toBe(131072);
|
|
// Text models
|
|
expect(getModelMaxTokens('xai/grok-2-1212')).toBe(131072);
|
|
expect(getModelMaxTokens('xai/grok-2')).toBe(131072);
|
|
expect(getModelMaxTokens('xai/grok-2-latest')).toBe(131072);
|
|
// Grok 3 models
|
|
expect(getModelMaxTokens('xai/grok-3')).toBe(131072);
|
|
expect(getModelMaxTokens('xai/grok-3-fast')).toBe(131072);
|
|
expect(getModelMaxTokens('xai/grok-3-mini')).toBe(131072);
|
|
expect(getModelMaxTokens('xai/grok-3-mini-fast')).toBe(131072);
|
|
// Grok 4 model
|
|
expect(getModelMaxTokens('xai/grok-4-0709')).toBe(256000);
|
|
});
|
|
});
|
|
|
|
describe('matchModelName', () => {
|
|
test('should match exact Grok model names', () => {
|
|
// Vision models
|
|
expect(matchModelName('grok-2-vision-1212')).toBe('grok-2-vision-1212');
|
|
expect(matchModelName('grok-2-vision')).toBe('grok-2-vision');
|
|
expect(matchModelName('grok-2-vision-latest')).toBe('grok-2-vision-latest');
|
|
// Beta models
|
|
expect(matchModelName('grok-vision-beta')).toBe('grok-vision-beta');
|
|
expect(matchModelName('grok-beta')).toBe('grok-beta');
|
|
// Text models
|
|
expect(matchModelName('grok-2-1212')).toBe('grok-2-1212');
|
|
expect(matchModelName('grok-2')).toBe('grok-2');
|
|
expect(matchModelName('grok-2-latest')).toBe('grok-2-latest');
|
|
// Grok 3 models
|
|
expect(matchModelName('grok-3')).toBe('grok-3');
|
|
expect(matchModelName('grok-3-fast')).toBe('grok-3-fast');
|
|
expect(matchModelName('grok-3-mini')).toBe('grok-3-mini');
|
|
expect(matchModelName('grok-3-mini-fast')).toBe('grok-3-mini-fast');
|
|
// Grok 4 model
|
|
expect(matchModelName('grok-4-0709')).toBe('grok-4');
|
|
});
|
|
|
|
test('should match Grok model variations with prefixes', () => {
|
|
// Vision models should match before general models
|
|
expect(matchModelName('xai/grok-2-vision-1212')).toBe('grok-2-vision-1212');
|
|
expect(matchModelName('xai/grok-2-vision')).toBe('grok-2-vision');
|
|
expect(matchModelName('xai/grok-2-vision-latest')).toBe('grok-2-vision-latest');
|
|
// Beta models
|
|
expect(matchModelName('xai/grok-vision-beta')).toBe('grok-vision-beta');
|
|
expect(matchModelName('xai/grok-beta')).toBe('grok-beta');
|
|
// Text models
|
|
expect(matchModelName('xai/grok-2-1212')).toBe('grok-2-1212');
|
|
expect(matchModelName('xai/grok-2')).toBe('grok-2');
|
|
expect(matchModelName('xai/grok-2-latest')).toBe('grok-2-latest');
|
|
// Grok 3 models
|
|
expect(matchModelName('xai/grok-3')).toBe('grok-3');
|
|
expect(matchModelName('xai/grok-3-fast')).toBe('grok-3-fast');
|
|
expect(matchModelName('xai/grok-3-mini')).toBe('grok-3-mini');
|
|
expect(matchModelName('xai/grok-3-mini-fast')).toBe('grok-3-mini-fast');
|
|
// Grok 4 model
|
|
expect(matchModelName('xai/grok-4-0709')).toBe('grok-4');
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('Claude Model Tests', () => {
|
|
it('should return correct context length for Claude 4 models', () => {
|
|
expect(getModelMaxTokens('claude-sonnet-4')).toBe(
|
|
maxTokensMap[EModelEndpoint.anthropic]['claude-sonnet-4'],
|
|
);
|
|
expect(getModelMaxTokens('claude-opus-4')).toBe(
|
|
maxTokensMap[EModelEndpoint.anthropic]['claude-opus-4'],
|
|
);
|
|
});
|
|
|
|
it('should handle Claude 4 model name variations with different prefixes and suffixes', () => {
|
|
const modelVariations = [
|
|
'claude-sonnet-4',
|
|
'claude-sonnet-4-20240229',
|
|
'claude-sonnet-4-latest',
|
|
'anthropic/claude-sonnet-4',
|
|
'claude-sonnet-4/anthropic',
|
|
'claude-sonnet-4-preview',
|
|
'claude-sonnet-4-20240229-preview',
|
|
'claude-opus-4',
|
|
'claude-opus-4-20240229',
|
|
'claude-opus-4-latest',
|
|
'anthropic/claude-opus-4',
|
|
'claude-opus-4/anthropic',
|
|
'claude-opus-4-preview',
|
|
'claude-opus-4-20240229-preview',
|
|
];
|
|
|
|
modelVariations.forEach((model) => {
|
|
const modelKey = findMatchingPattern(model, maxTokensMap[EModelEndpoint.anthropic]);
|
|
expect(getModelMaxTokens(model)).toBe(maxTokensMap[EModelEndpoint.anthropic][modelKey]);
|
|
});
|
|
});
|
|
|
|
it('should match model names correctly for Claude 4 models', () => {
|
|
const modelVariations = [
|
|
'claude-sonnet-4',
|
|
'claude-sonnet-4-20240229',
|
|
'claude-sonnet-4-latest',
|
|
'anthropic/claude-sonnet-4',
|
|
'claude-sonnet-4/anthropic',
|
|
'claude-sonnet-4-preview',
|
|
'claude-sonnet-4-20240229-preview',
|
|
'claude-opus-4',
|
|
'claude-opus-4-20240229',
|
|
'claude-opus-4-latest',
|
|
'anthropic/claude-opus-4',
|
|
'claude-opus-4/anthropic',
|
|
'claude-opus-4-preview',
|
|
'claude-opus-4-20240229-preview',
|
|
];
|
|
|
|
modelVariations.forEach((model) => {
|
|
const isSonnet = model.includes('sonnet');
|
|
const expectedModel = isSonnet ? 'claude-sonnet-4' : 'claude-opus-4';
|
|
expect(matchModelName(model, EModelEndpoint.anthropic)).toBe(expectedModel);
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('Kimi Model Tests', () => {
|
|
describe('getModelMaxTokens', () => {
|
|
test('should return correct tokens for Kimi models', () => {
|
|
expect(getModelMaxTokens('kimi')).toBe(131000);
|
|
expect(getModelMaxTokens('kimi-k2')).toBe(131000);
|
|
expect(getModelMaxTokens('kimi-vl')).toBe(131000);
|
|
});
|
|
|
|
test('should return correct tokens for Kimi models with provider prefix', () => {
|
|
expect(getModelMaxTokens('moonshotai/kimi-k2')).toBe(131000);
|
|
expect(getModelMaxTokens('moonshotai/kimi')).toBe(131000);
|
|
expect(getModelMaxTokens('moonshotai/kimi-vl')).toBe(131000);
|
|
});
|
|
|
|
test('should handle partial matches for Kimi models', () => {
|
|
expect(getModelMaxTokens('kimi-k2-latest')).toBe(131000);
|
|
expect(getModelMaxTokens('kimi-vl-preview')).toBe(131000);
|
|
expect(getModelMaxTokens('kimi-2024')).toBe(131000);
|
|
});
|
|
});
|
|
|
|
describe('matchModelName', () => {
|
|
test('should match exact Kimi model names', () => {
|
|
expect(matchModelName('kimi')).toBe('kimi');
|
|
expect(matchModelName('kimi-k2')).toBe('kimi');
|
|
expect(matchModelName('kimi-vl')).toBe('kimi');
|
|
});
|
|
|
|
test('should match Kimi model variations with provider prefix', () => {
|
|
expect(matchModelName('moonshotai/kimi')).toBe('kimi');
|
|
expect(matchModelName('moonshotai/kimi-k2')).toBe('kimi');
|
|
expect(matchModelName('moonshotai/kimi-vl')).toBe('kimi');
|
|
});
|
|
|
|
test('should match Kimi model variations with suffixes', () => {
|
|
expect(matchModelName('kimi-k2-latest')).toBe('kimi');
|
|
expect(matchModelName('kimi-vl-preview')).toBe('kimi');
|
|
expect(matchModelName('kimi-2024')).toBe('kimi');
|
|
});
|
|
});
|
|
});
|