LibreChat/api/utils/tokens.spec.js
Danny Avila 583e978a82
feat(Google): Support all Text/Chat Models, Response streaming, PaLM -> Google 🤖 (#1316)
* feat: update PaLM icons

* feat: add additional google models

* POC: formatting inputs for Vertex AI streaming

* refactor: move endpoints services outside of /routes dir to /services/Endpoints

* refactor: shorten schemas import

* refactor: rename PALM to GOOGLE

* feat: make Google editable endpoint

* feat: reusable Ask and Edit controllers based off Anthropic

* chore: organize imports/logic

* fix(parseConvo): include examples in googleSchema

* fix: google only allows odd number of messages to be sent

* fix: pass proxy to AnthropicClient

* refactor: change `google` altName to `Google`

* refactor: update getModelMaxTokens and related functions to handle maxTokensMap with nested endpoint model key/values

* refactor: google Icon and response sender changes (Codey and Google logo instead of PaLM in all cases)

* feat: google support for maxTokensMap

* feat: google updated endpoints with Ask/Edit controllers, buildOptions, and initializeClient

* feat(GoogleClient): now builds prompt for text models and supports real streaming from Vertex AI through langchain

* chore(GoogleClient): remove comments, left before for reference in git history

* docs: update google instructions (WIP)

* docs(apis_and_tokens.md): add images to google instructions

* docs: remove typo apis_and_tokens.md

* Update apis_and_tokens.md

* feat(Google): use default settings map, fully support context for both text and chat models, fully support examples for chat models

* chore: update more PaLM references to Google

* chore: move playwright out of workflows to avoid failing tests
2023-12-10 14:54:13 -05:00

182 lines
6.8 KiB
JavaScript

const { EModelEndpoint } = require('~/server/services/Endpoints');
const { getModelMaxTokens, matchModelName, maxTokensMap } = require('./tokens');
describe('getModelMaxTokens', () => {
test('should return correct tokens for exact match', () => {
expect(getModelMaxTokens('gpt-4-32k-0613')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-4-32k-0613'],
);
});
test('should return correct tokens for partial match', () => {
expect(getModelMaxTokens('gpt-4-32k-unknown')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-4-32k'],
);
});
test('should return correct tokens for partial match (OpenRouter)', () => {
expect(getModelMaxTokens('openai/gpt-4-32k')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-4-32k'],
);
});
test('should return undefined for no match', () => {
expect(getModelMaxTokens('unknown-model')).toBeUndefined();
});
test('should return correct tokens for another exact match', () => {
expect(getModelMaxTokens('gpt-3.5-turbo-16k-0613')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-16k-0613'],
);
});
test('should return correct tokens for another partial match', () => {
expect(getModelMaxTokens('gpt-3.5-turbo-unknown')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo'],
);
});
test('should return undefined for undefined input', () => {
expect(getModelMaxTokens(undefined)).toBeUndefined();
});
test('should return undefined for null input', () => {
expect(getModelMaxTokens(null)).toBeUndefined();
});
test('should return undefined for number input', () => {
expect(getModelMaxTokens(123)).toBeUndefined();
});
// 11/06 Update
test('should return correct tokens for gpt-3.5-turbo-1106 exact match', () => {
expect(getModelMaxTokens('gpt-3.5-turbo-1106')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-1106'],
);
});
test('should return correct tokens for gpt-4-1106 exact match', () => {
expect(getModelMaxTokens('gpt-4-1106')).toBe(maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106']);
});
test('should return correct tokens for gpt-3.5-turbo-1106 partial match', () => {
expect(getModelMaxTokens('something-/gpt-3.5-turbo-1106')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-1106'],
);
expect(getModelMaxTokens('gpt-3.5-turbo-1106/something-/')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-3.5-turbo-1106'],
);
});
test('should return correct tokens for gpt-4-1106 partial match', () => {
expect(getModelMaxTokens('gpt-4-1106/something')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106'],
);
expect(getModelMaxTokens('gpt-4-1106-preview')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106'],
);
expect(getModelMaxTokens('gpt-4-1106-vision-preview')).toBe(
maxTokensMap[EModelEndpoint.openAI]['gpt-4-1106'],
);
});
test('should return correct tokens for Anthropic models', () => {
const models = [
'claude-2.1',
'claude-2',
'claude-1.2',
'claude-1',
'claude-1-100k',
'claude-instant-1',
'claude-instant-1-100k',
];
const claudeMaxTokens = maxTokensMap[EModelEndpoint.anthropic]['claude-'];
const claude21MaxTokens = maxTokensMap[EModelEndpoint.anthropic]['claude-2.1'];
models.forEach((model) => {
const expectedTokens = model === 'claude-2.1' ? claude21MaxTokens : claudeMaxTokens;
expect(getModelMaxTokens(model, EModelEndpoint.anthropic)).toEqual(expectedTokens);
});
});
// Tests for Google models
test('should return correct tokens for exact match - Google models', () => {
expect(getModelMaxTokens('text-bison-32k', EModelEndpoint.google)).toBe(
maxTokensMap[EModelEndpoint.google]['text-bison-32k'],
);
expect(getModelMaxTokens('codechat-bison-32k', EModelEndpoint.google)).toBe(
maxTokensMap[EModelEndpoint.google]['codechat-bison-32k'],
);
});
test('should return undefined for no match - Google models', () => {
expect(getModelMaxTokens('unknown-google-model', EModelEndpoint.google)).toBeUndefined();
});
test('should return correct tokens for partial match - Google models', () => {
expect(getModelMaxTokens('code-', EModelEndpoint.google)).toBe(
maxTokensMap[EModelEndpoint.google]['code-'],
);
expect(getModelMaxTokens('chat-', EModelEndpoint.google)).toBe(
maxTokensMap[EModelEndpoint.google]['chat-'],
);
});
});
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('something/gpt-4-1106')).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');
});
// 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-');
});
});