mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-16 16:30:15 +01:00
63afb317c6
* 🤖 refactor: streamline model selection logic for title model in GoogleClient
* refactor: add options for empty object schemas in convertJsonSchemaToZod
* refactor: add utility function to check for empty object schemas in convertJsonSchemaToZod
* fix: Google MCP Tool errors, and remove Object Unescaping as Google fixed this
* fix: google safetySettings
* feat: add safety settings exclusion via GOOGLE_EXCLUDE_SAFETY_SETTINGS environment variable
* fix: rename environment variable for console JSON string length
* fix: disable portal for dropdown in ExportModal component
* fix: screenshot functionality to use image placeholder for remote images
* feat: add visionMode property to BaseClient and initialize in GoogleClient to fix resendFiles issue
* fix: enhance formatMessages to include image URLs in message content for Vertex AI
* fix: safety settings for titleChatCompletion
* fix: remove deprecated model assignment in GoogleClient and streamline title model retrieval
* fix: remove unused image preloading logic in ScreenshotContext
* chore: update default google models to latest models shared by vertex ai and gen ai
* refactor: enhance Google error messaging
* fix: update token values and model limits for Gemini models
* ci: fix model matching
* chore: bump version of librechat-data-provider to 0.7.699
460 lines
18 KiB
JavaScript
460 lines
18 KiB
JavaScript
const { EModelEndpoint } = require('librechat-data-provider');
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const {
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defaultRate,
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tokenValues,
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getValueKey,
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getMultiplier,
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cacheTokenValues,
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getCacheMultiplier,
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} = require('./tx');
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describe('getValueKey', () => {
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it('should return "16k" for model name containing "gpt-3.5-turbo-16k"', () => {
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expect(getValueKey('gpt-3.5-turbo-16k-some-other-info')).toBe('16k');
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});
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it('should return "4k" for model name containing "gpt-3.5"', () => {
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expect(getValueKey('gpt-3.5-some-other-info')).toBe('4k');
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});
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it('should return "32k" for model name containing "gpt-4-32k"', () => {
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expect(getValueKey('gpt-4-32k-some-other-info')).toBe('32k');
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});
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it('should return "8k" for model name containing "gpt-4"', () => {
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expect(getValueKey('gpt-4-some-other-info')).toBe('8k');
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});
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it('should return undefined for model names that do not match any known patterns', () => {
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expect(getValueKey('gpt-5-some-other-info')).toBeUndefined();
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});
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it('should return "gpt-3.5-turbo-1106" for model name containing "gpt-3.5-turbo-1106"', () => {
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expect(getValueKey('gpt-3.5-turbo-1106-some-other-info')).toBe('gpt-3.5-turbo-1106');
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expect(getValueKey('openai/gpt-3.5-turbo-1106')).toBe('gpt-3.5-turbo-1106');
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expect(getValueKey('gpt-3.5-turbo-1106/openai')).toBe('gpt-3.5-turbo-1106');
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});
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it('should return "gpt-4-1106" for model name containing "gpt-4-1106"', () => {
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expect(getValueKey('gpt-4-1106-some-other-info')).toBe('gpt-4-1106');
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expect(getValueKey('gpt-4-1106-vision-preview')).toBe('gpt-4-1106');
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expect(getValueKey('gpt-4-1106-preview')).toBe('gpt-4-1106');
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expect(getValueKey('openai/gpt-4-1106')).toBe('gpt-4-1106');
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expect(getValueKey('gpt-4-1106/openai/')).toBe('gpt-4-1106');
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});
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it('should return "gpt-4-1106" for model type of "gpt-4-1106"', () => {
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expect(getValueKey('gpt-4-vision-preview')).toBe('gpt-4-1106');
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expect(getValueKey('openai/gpt-4-1106')).toBe('gpt-4-1106');
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expect(getValueKey('gpt-4-turbo')).toBe('gpt-4-1106');
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expect(getValueKey('gpt-4-0125')).toBe('gpt-4-1106');
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});
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it('should return "gpt-4o" for model type of "gpt-4o"', () => {
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expect(getValueKey('gpt-4o-2024-08-06')).toBe('gpt-4o');
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expect(getValueKey('gpt-4o-2024-08-06-0718')).toBe('gpt-4o');
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expect(getValueKey('openai/gpt-4o')).toBe('gpt-4o');
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expect(getValueKey('openai/gpt-4o-2024-08-06')).toBe('gpt-4o');
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expect(getValueKey('gpt-4o-turbo')).toBe('gpt-4o');
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expect(getValueKey('gpt-4o-0125')).toBe('gpt-4o');
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});
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it('should return "gpt-4o-mini" for model type of "gpt-4o-mini"', () => {
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expect(getValueKey('gpt-4o-mini-2024-07-18')).toBe('gpt-4o-mini');
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expect(getValueKey('openai/gpt-4o-mini')).toBe('gpt-4o-mini');
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expect(getValueKey('gpt-4o-mini-0718')).toBe('gpt-4o-mini');
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expect(getValueKey('gpt-4o-2024-08-06-0718')).not.toBe('gpt-4o-mini');
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});
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it('should return "gpt-4o-2024-05-13" for model type of "gpt-4o-2024-05-13"', () => {
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expect(getValueKey('gpt-4o-2024-05-13')).toBe('gpt-4o-2024-05-13');
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expect(getValueKey('openai/gpt-4o-2024-05-13')).toBe('gpt-4o-2024-05-13');
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expect(getValueKey('gpt-4o-2024-05-13-0718')).toBe('gpt-4o-2024-05-13');
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expect(getValueKey('gpt-4o-2024-05-13-0718')).not.toBe('gpt-4o');
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});
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it('should return "gpt-4o" for model type of "chatgpt-4o"', () => {
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expect(getValueKey('chatgpt-4o-latest')).toBe('gpt-4o');
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expect(getValueKey('openai/chatgpt-4o-latest')).toBe('gpt-4o');
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expect(getValueKey('chatgpt-4o-latest-0916')).toBe('gpt-4o');
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expect(getValueKey('chatgpt-4o-latest-0718')).toBe('gpt-4o');
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});
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it('should return "claude-3-5-sonnet" for model type of "claude-3-5-sonnet-"', () => {
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expect(getValueKey('claude-3-5-sonnet-20240620')).toBe('claude-3-5-sonnet');
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expect(getValueKey('anthropic/claude-3-5-sonnet')).toBe('claude-3-5-sonnet');
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expect(getValueKey('claude-3-5-sonnet-turbo')).toBe('claude-3-5-sonnet');
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expect(getValueKey('claude-3-5-sonnet-0125')).toBe('claude-3-5-sonnet');
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});
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it('should return "claude-3.5-sonnet" for model type of "claude-3.5-sonnet-"', () => {
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expect(getValueKey('claude-3.5-sonnet-20240620')).toBe('claude-3.5-sonnet');
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expect(getValueKey('anthropic/claude-3.5-sonnet')).toBe('claude-3.5-sonnet');
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expect(getValueKey('claude-3.5-sonnet-turbo')).toBe('claude-3.5-sonnet');
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expect(getValueKey('claude-3.5-sonnet-0125')).toBe('claude-3.5-sonnet');
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});
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it('should return "claude-3-5-haiku" for model type of "claude-3-5-haiku-"', () => {
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expect(getValueKey('claude-3-5-haiku-20240620')).toBe('claude-3-5-haiku');
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expect(getValueKey('anthropic/claude-3-5-haiku')).toBe('claude-3-5-haiku');
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expect(getValueKey('claude-3-5-haiku-turbo')).toBe('claude-3-5-haiku');
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expect(getValueKey('claude-3-5-haiku-0125')).toBe('claude-3-5-haiku');
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});
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it('should return "claude-3.5-haiku" for model type of "claude-3.5-haiku-"', () => {
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expect(getValueKey('claude-3.5-haiku-20240620')).toBe('claude-3.5-haiku');
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expect(getValueKey('anthropic/claude-3.5-haiku')).toBe('claude-3.5-haiku');
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expect(getValueKey('claude-3.5-haiku-turbo')).toBe('claude-3.5-haiku');
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expect(getValueKey('claude-3.5-haiku-0125')).toBe('claude-3.5-haiku');
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});
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});
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describe('getMultiplier', () => {
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it('should return the correct multiplier for a given valueKey and tokenType', () => {
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expect(getMultiplier({ valueKey: '8k', tokenType: 'prompt' })).toBe(tokenValues['8k'].prompt);
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expect(getMultiplier({ valueKey: '8k', tokenType: 'completion' })).toBe(
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tokenValues['8k'].completion,
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);
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});
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it('should return defaultRate if tokenType is provided but not found in tokenValues', () => {
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expect(getMultiplier({ valueKey: '8k', tokenType: 'unknownType' })).toBe(defaultRate);
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});
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it('should derive the valueKey from the model if not provided', () => {
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expect(getMultiplier({ tokenType: 'prompt', model: 'gpt-4-some-other-info' })).toBe(
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tokenValues['8k'].prompt,
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);
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});
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it('should return 1 if only model or tokenType is missing', () => {
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expect(getMultiplier({ tokenType: 'prompt' })).toBe(1);
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expect(getMultiplier({ model: 'gpt-4-some-other-info' })).toBe(1);
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});
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it('should return the correct multiplier for gpt-3.5-turbo-1106', () => {
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expect(getMultiplier({ valueKey: 'gpt-3.5-turbo-1106', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-3.5-turbo-1106'].prompt,
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);
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expect(getMultiplier({ valueKey: 'gpt-3.5-turbo-1106', tokenType: 'completion' })).toBe(
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tokenValues['gpt-3.5-turbo-1106'].completion,
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);
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});
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it('should return the correct multiplier for gpt-4-1106', () => {
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expect(getMultiplier({ valueKey: 'gpt-4-1106', tokenType: 'prompt' })).toBe(
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tokenValues['gpt-4-1106'].prompt,
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);
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expect(getMultiplier({ valueKey: 'gpt-4-1106', tokenType: 'completion' })).toBe(
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tokenValues['gpt-4-1106'].completion,
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);
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});
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it('should return the correct multiplier for gpt-4o', () => {
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const valueKey = getValueKey('gpt-4o-2024-08-06');
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expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-4o'].prompt);
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expect(getMultiplier({ valueKey, tokenType: 'completion' })).toBe(
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tokenValues['gpt-4o'].completion,
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);
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expect(getMultiplier({ valueKey, tokenType: 'completion' })).not.toBe(
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tokenValues['gpt-4-1106'].completion,
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);
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});
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it('should return the correct multiplier for gpt-4o-mini', () => {
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const valueKey = getValueKey('gpt-4o-mini-2024-07-18');
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expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(
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tokenValues['gpt-4o-mini'].prompt,
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);
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expect(getMultiplier({ valueKey, tokenType: 'completion' })).toBe(
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tokenValues['gpt-4o-mini'].completion,
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);
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expect(getMultiplier({ valueKey, tokenType: 'completion' })).not.toBe(
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tokenValues['gpt-4-1106'].completion,
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);
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});
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it('should return the correct multiplier for chatgpt-4o-latest', () => {
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const valueKey = getValueKey('chatgpt-4o-latest');
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expect(getMultiplier({ valueKey, tokenType: 'prompt' })).toBe(tokenValues['gpt-4o'].prompt);
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expect(getMultiplier({ valueKey, tokenType: 'completion' })).toBe(
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tokenValues['gpt-4o'].completion,
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);
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expect(getMultiplier({ valueKey, tokenType: 'completion' })).not.toBe(
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tokenValues['gpt-4o-mini'].completion,
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);
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});
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it('should derive the valueKey from the model if not provided for new models', () => {
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expect(
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getMultiplier({ tokenType: 'prompt', model: 'gpt-3.5-turbo-1106-some-other-info' }),
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).toBe(tokenValues['gpt-3.5-turbo-1106'].prompt);
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expect(getMultiplier({ tokenType: 'completion', model: 'gpt-4-1106-vision-preview' })).toBe(
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tokenValues['gpt-4-1106'].completion,
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);
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expect(getMultiplier({ tokenType: 'completion', model: 'gpt-4-0125-preview' })).toBe(
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tokenValues['gpt-4-1106'].completion,
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);
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expect(getMultiplier({ tokenType: 'completion', model: 'gpt-4-turbo-vision-preview' })).toBe(
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tokenValues['gpt-4-1106'].completion,
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);
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expect(getMultiplier({ tokenType: 'completion', model: 'gpt-3.5-turbo-0125' })).toBe(
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tokenValues['gpt-3.5-turbo-0125'].completion,
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);
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});
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it('should return defaultRate if derived valueKey does not match any known patterns', () => {
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expect(getMultiplier({ tokenType: 'prompt', model: 'gpt-5-some-other-info' })).toBe(
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defaultRate,
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);
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});
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});
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describe('AWS Bedrock Model Tests', () => {
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const awsModels = [
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'anthropic.claude-3-5-haiku-20241022-v1:0',
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'anthropic.claude-3-haiku-20240307-v1:0',
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'anthropic.claude-3-sonnet-20240229-v1:0',
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'anthropic.claude-3-opus-20240229-v1:0',
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'anthropic.claude-3-5-sonnet-20240620-v1:0',
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'anthropic.claude-v2:1',
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'anthropic.claude-instant-v1',
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'meta.llama2-13b-chat-v1',
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'meta.llama2-70b-chat-v1',
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'meta.llama3-8b-instruct-v1:0',
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'meta.llama3-70b-instruct-v1:0',
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'meta.llama3-1-8b-instruct-v1:0',
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'meta.llama3-1-70b-instruct-v1:0',
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'meta.llama3-1-405b-instruct-v1:0',
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'mistral.mistral-7b-instruct-v0:2',
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'mistral.mistral-small-2402-v1:0',
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'mistral.mixtral-8x7b-instruct-v0:1',
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'mistral.mistral-large-2402-v1:0',
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'mistral.mistral-large-2407-v1:0',
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'cohere.command-text-v14',
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'cohere.command-light-text-v14',
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'cohere.command-r-v1:0',
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'cohere.command-r-plus-v1:0',
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'ai21.j2-mid-v1',
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'ai21.j2-ultra-v1',
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'amazon.titan-text-lite-v1',
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'amazon.titan-text-express-v1',
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'amazon.nova-micro-v1:0',
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'amazon.nova-lite-v1:0',
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'amazon.nova-pro-v1:0',
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];
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it('should return the correct prompt multipliers for all models', () => {
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const results = awsModels.map((model) => {
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const valueKey = getValueKey(model, EModelEndpoint.bedrock);
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const multiplier = getMultiplier({ valueKey, tokenType: 'prompt' });
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return tokenValues[valueKey].prompt && multiplier === tokenValues[valueKey].prompt;
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});
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expect(results.every(Boolean)).toBe(true);
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});
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it('should return the correct completion multipliers for all models', () => {
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const results = awsModels.map((model) => {
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const valueKey = getValueKey(model, EModelEndpoint.bedrock);
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const multiplier = getMultiplier({ valueKey, tokenType: 'completion' });
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return tokenValues[valueKey].completion && multiplier === tokenValues[valueKey].completion;
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});
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expect(results.every(Boolean)).toBe(true);
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});
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});
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describe('Deepseek Model Tests', () => {
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const deepseekModels = ['deepseek-chat', 'deepseek-coder', 'deepseek-reasoner'];
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it('should return the correct prompt multipliers for all models', () => {
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const results = deepseekModels.map((model) => {
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const valueKey = getValueKey(model);
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const multiplier = getMultiplier({ valueKey, tokenType: 'prompt' });
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return tokenValues[valueKey].prompt && multiplier === tokenValues[valueKey].prompt;
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});
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expect(results.every(Boolean)).toBe(true);
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});
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it('should return the correct completion multipliers for all models', () => {
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const results = deepseekModels.map((model) => {
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const valueKey = getValueKey(model);
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const multiplier = getMultiplier({ valueKey, tokenType: 'completion' });
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return tokenValues[valueKey].completion && multiplier === tokenValues[valueKey].completion;
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});
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expect(results.every(Boolean)).toBe(true);
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});
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it('should return the correct prompt multipliers for reasoning model', () => {
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const model = 'deepseek-reasoner';
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const valueKey = getValueKey(model);
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expect(valueKey).toBe(model);
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const multiplier = getMultiplier({ valueKey, tokenType: 'prompt' });
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const result = tokenValues[valueKey].prompt && multiplier === tokenValues[valueKey].prompt;
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expect(result).toBe(true);
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});
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});
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describe('getCacheMultiplier', () => {
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it('should return the correct cache multiplier for a given valueKey and cacheType', () => {
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expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'write' })).toBe(
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cacheTokenValues['claude-3-5-sonnet'].write,
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);
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expect(getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'read' })).toBe(
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cacheTokenValues['claude-3-5-sonnet'].read,
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);
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expect(getCacheMultiplier({ valueKey: 'claude-3-5-haiku', cacheType: 'write' })).toBe(
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cacheTokenValues['claude-3-5-haiku'].write,
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);
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expect(getCacheMultiplier({ valueKey: 'claude-3-5-haiku', cacheType: 'read' })).toBe(
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cacheTokenValues['claude-3-5-haiku'].read,
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);
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expect(getCacheMultiplier({ valueKey: 'claude-3-haiku', cacheType: 'write' })).toBe(
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cacheTokenValues['claude-3-haiku'].write,
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);
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expect(getCacheMultiplier({ valueKey: 'claude-3-haiku', cacheType: 'read' })).toBe(
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cacheTokenValues['claude-3-haiku'].read,
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);
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});
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it('should return null if cacheType is provided but not found in cacheTokenValues', () => {
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expect(
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getCacheMultiplier({ valueKey: 'claude-3-5-sonnet', cacheType: 'unknownType' }),
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).toBeNull();
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});
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it('should derive the valueKey from the model if not provided', () => {
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expect(getCacheMultiplier({ cacheType: 'write', model: 'claude-3-5-sonnet-20240620' })).toBe(
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3.75,
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);
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expect(getCacheMultiplier({ cacheType: 'read', model: 'claude-3-haiku-20240307' })).toBe(0.03);
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});
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it('should return null if only model or cacheType is missing', () => {
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expect(getCacheMultiplier({ cacheType: 'write' })).toBeNull();
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expect(getCacheMultiplier({ model: 'claude-3-5-sonnet' })).toBeNull();
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});
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it('should return null if derived valueKey does not match any known patterns', () => {
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expect(getCacheMultiplier({ cacheType: 'write', model: 'gpt-4-some-other-info' })).toBeNull();
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});
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it('should handle endpointTokenConfig if provided', () => {
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const endpointTokenConfig = {
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'custom-model': {
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write: 5,
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read: 1,
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},
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};
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expect(
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getCacheMultiplier({ model: 'custom-model', cacheType: 'write', endpointTokenConfig }),
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).toBe(5);
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expect(
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getCacheMultiplier({ model: 'custom-model', cacheType: 'read', endpointTokenConfig }),
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).toBe(1);
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});
|
|
|
|
it('should return null if model is not found in endpointTokenConfig', () => {
|
|
const endpointTokenConfig = {
|
|
'custom-model': {
|
|
write: 5,
|
|
read: 1,
|
|
},
|
|
};
|
|
expect(
|
|
getCacheMultiplier({ model: 'unknown-model', cacheType: 'write', endpointTokenConfig }),
|
|
).toBeNull();
|
|
});
|
|
|
|
it('should handle models with "bedrock/" prefix', () => {
|
|
expect(
|
|
getCacheMultiplier({
|
|
model: 'bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0',
|
|
cacheType: 'write',
|
|
}),
|
|
).toBe(3.75);
|
|
expect(
|
|
getCacheMultiplier({
|
|
model: 'bedrock/anthropic.claude-3-haiku-20240307-v1:0',
|
|
cacheType: 'read',
|
|
}),
|
|
).toBe(0.03);
|
|
});
|
|
});
|
|
|
|
describe('Google Model Tests', () => {
|
|
const googleModels = [
|
|
'gemini-2.0-flash-lite-preview-02-05',
|
|
'gemini-2.0-flash-001',
|
|
'gemini-2.0-flash-exp',
|
|
'gemini-2.0-pro-exp-02-05',
|
|
'gemini-1.5-flash-8b',
|
|
'gemini-1.5-flash-thinking',
|
|
'gemini-1.5-pro-latest',
|
|
'gemini-1.5-pro-preview-0409',
|
|
'gemini-pro-vision',
|
|
'gemini-1.0',
|
|
'gemini-pro',
|
|
];
|
|
|
|
it('should return the correct prompt and completion rates for all models', () => {
|
|
const results = googleModels.map((model) => {
|
|
const valueKey = getValueKey(model, EModelEndpoint.google);
|
|
const promptRate = getMultiplier({
|
|
model,
|
|
tokenType: 'prompt',
|
|
endpoint: EModelEndpoint.google,
|
|
});
|
|
const completionRate = getMultiplier({
|
|
model,
|
|
tokenType: 'completion',
|
|
endpoint: EModelEndpoint.google,
|
|
});
|
|
return { model, valueKey, promptRate, completionRate };
|
|
});
|
|
|
|
results.forEach(({ valueKey, promptRate, completionRate }) => {
|
|
expect(promptRate).toBe(tokenValues[valueKey].prompt);
|
|
expect(completionRate).toBe(tokenValues[valueKey].completion);
|
|
});
|
|
});
|
|
|
|
it('should map to the correct model keys', () => {
|
|
const expected = {
|
|
'gemini-2.0-flash-lite-preview-02-05': 'gemini-2.0-flash-lite',
|
|
'gemini-2.0-flash-001': 'gemini-2.0-flash',
|
|
'gemini-2.0-flash-exp': 'gemini-2.0-flash',
|
|
'gemini-2.0-pro-exp-02-05': 'gemini-2.0',
|
|
'gemini-1.5-flash-8b': 'gemini-1.5-flash-8b',
|
|
'gemini-1.5-flash-thinking': 'gemini-1.5-flash',
|
|
'gemini-1.5-pro-latest': 'gemini-1.5',
|
|
'gemini-1.5-pro-preview-0409': 'gemini-1.5',
|
|
'gemini-pro-vision': 'gemini-pro-vision',
|
|
'gemini-1.0': 'gemini',
|
|
'gemini-pro': 'gemini',
|
|
};
|
|
|
|
Object.entries(expected).forEach(([model, expectedKey]) => {
|
|
const valueKey = getValueKey(model, EModelEndpoint.google);
|
|
expect(valueKey).toBe(expectedKey);
|
|
});
|
|
});
|
|
|
|
it('should handle model names with different formats', () => {
|
|
const testCases = [
|
|
{ input: 'google/gemini-pro', expected: 'gemini' },
|
|
{ input: 'gemini-pro/google', expected: 'gemini' },
|
|
{ input: 'google/gemini-2.0-flash-lite', expected: 'gemini-2.0-flash-lite' },
|
|
];
|
|
|
|
testCases.forEach(({ input, expected }) => {
|
|
const valueKey = getValueKey(input, EModelEndpoint.google);
|
|
expect(valueKey).toBe(expected);
|
|
expect(
|
|
getMultiplier({ model: input, tokenType: 'prompt', endpoint: EModelEndpoint.google }),
|
|
).toBe(tokenValues[expected].prompt);
|
|
expect(
|
|
getMultiplier({ model: input, tokenType: 'completion', endpoint: EModelEndpoint.google }),
|
|
).toBe(tokenValues[expected].completion);
|
|
});
|
|
});
|
|
});
|