LibreChat/api/server/services/Files/Audio/TTSService.js
Danny Avila 29ef91b4dd
🧠 feat: User Memories for Conversational Context (#7760)
* 🧠 feat: User Memories for Conversational Context

chore: mcp typing, use `t`

WIP: first pass, Memories UI

- Added MemoryViewer component for displaying, editing, and deleting user memories.
- Integrated data provider hooks for fetching, updating, and deleting memories.
- Implemented pagination and loading states for better user experience.
- Created unit tests for MemoryViewer to ensure functionality and interaction with data provider.
- Updated translation files to include new UI strings related to memories.

chore: move mcp-related files to own directory

chore: rename librechat-mcp to librechat-api

WIP: first pass, memory processing and data schemas

chore: linting in fileSearch.js query description

chore: rename librechat-api to @librechat/api across the project

WIP: first pass, functional memory agent

feat: add MemoryEditDialog and MemoryViewer components for managing user memories

- Introduced MemoryEditDialog for editing memory entries with validation and toast notifications.
- Updated MemoryViewer to support editing and deleting memories, including pagination and loading states.
- Enhanced data provider to handle memory updates with optional original key for better management.
- Added new localization strings for memory-related UI elements.

feat: add memory permissions management

- Implemented memory permissions in the backend, allowing roles to have specific permissions for using, creating, updating, and reading memories.
- Added new API endpoints for updating memory permissions associated with roles.
- Created a new AdminSettings component for managing memory permissions in the frontend.
- Integrated memory permissions into the existing roles and permissions schemas.
- Updated the interface to include memory settings and permissions.
- Enhanced the MemoryViewer component to conditionally render admin settings based on user roles.
- Added localization support for memory permissions in the translation files.

feat: move AdminSettings component to a new position in MemoryViewer for better visibility

refactor: clean up commented code in MemoryViewer component

feat: enhance MemoryViewer with search functionality and improve MemoryEditDialog integration

- Added a search input to filter memories in the MemoryViewer component.
- Refactored MemoryEditDialog to accept children for better customization.
- Updated MemoryViewer to utilize the new EditMemoryButton and DeleteMemoryButton components for editing and deleting memories.
- Improved localization support by adding new strings for memory filtering and deletion confirmation.

refactor: optimize memory filtering in MemoryViewer using match-sorter

- Replaced manual filtering logic with match-sorter for improved search functionality.
- Enhanced performance and readability of the filteredMemories computation.

feat: enhance MemoryEditDialog with triggerRef and improve updateMemory mutation handling

feat: implement access control for MemoryEditDialog and MemoryViewer components

refactor: remove commented out code and create runMemory method

refactor: rename role based files

feat: implement access control for memory usage in AgentClient

refactor: simplify checkVisionRequest method in AgentClient by removing commented-out code

refactor: make `agents` dir in api package

refactor: migrate Azure utilities to TypeScript and consolidate imports

refactor: move sanitizeFilename function to a new file and update imports, add related tests

refactor: update LLM configuration types and consolidate Azure options in the API package

chore: linting

chore: import order

refactor: replace getLLMConfig with getOpenAIConfig and remove unused LLM configuration file

chore: update winston-daily-rotate-file to version 5.0.0 and add object-hash dependency in package-lock.json

refactor: move primeResources and optionalChainWithEmptyCheck functions to resources.ts and update imports

refactor: move createRun function to a new run.ts file and update related imports

fix: ensure safeAttachments is correctly typed as an array of TFile

chore: add node-fetch dependency and refactor fetch-related functions into packages/api/utils, removing the old generators file

refactor: enhance TEndpointOption type by using Pick to streamline endpoint fields and add new properties for model parameters and client options

feat: implement initializeOpenAIOptions function and update OpenAI types for enhanced configuration handling

fix: update types due to new TEndpointOption typing

fix: ensure safe access to group parameters in initializeOpenAIOptions function

fix: remove redundant API key validation comment in initializeOpenAIOptions function

refactor: rename initializeOpenAIOptions to initializeOpenAI for consistency and update related documentation

refactor: decouple req.body fields and tool loading from initializeAgentOptions

chore: linting

refactor: adjust column widths in MemoryViewer for improved layout

refactor: simplify agent initialization by creating loadAgent function and removing unused code

feat: add memory configuration loading and validation functions

WIP: first pass, memory processing with config

feat: implement memory callback and artifact handling

feat: implement memory artifacts display and processing updates

feat: add memory configuration options and schema validation for validKeys

fix: update MemoryEditDialog and MemoryViewer to handle memory state and display improvements

refactor: remove padding from BookmarkTable and MemoryViewer headers for consistent styling

WIP: initial tokenLimit config and move Tokenizer to @librechat/api

refactor: update mongoMeili plugin methods to use callback for better error handling

feat: enhance memory management with token tracking and usage metrics

- Added token counting for memory entries to enforce limits and provide usage statistics.
- Updated memory retrieval and update routes to include total token usage and limit.
- Enhanced MemoryEditDialog and MemoryViewer components to display memory usage and token information.
- Refactored memory processing functions to handle token limits and provide feedback on memory capacity.

feat: implement memory artifact handling in attachment handler

- Enhanced useAttachmentHandler to process memory artifacts when receiving updates.
- Introduced handleMemoryArtifact utility to manage memory updates and deletions.
- Updated query client to reflect changes in memory state based on incoming data.

refactor: restructure web search key extraction logic

- Moved the logic for extracting API keys from the webSearchAuth configuration into a dedicated function, getWebSearchKeys.
- Updated webSearchKeys to utilize the new function for improved clarity and maintainability.
- Prevents build time errors

feat: add personalization settings and memory preferences management

- Introduced a new Personalization tab in settings to manage user memory preferences.
- Implemented API endpoints and client-side logic for updating memory preferences.
- Enhanced user interface components to reflect personalization options and memory usage.
- Updated permissions to allow users to opt out of memory features.
- Added localization support for new settings and messages related to personalization.

style: personalization switch class

feat: add PersonalizationIcon and align Side Panel UI

feat: implement memory creation functionality

- Added a new API endpoint for creating memory entries, including validation for key and value.
- Introduced MemoryCreateDialog component for user interface to facilitate memory creation.
- Integrated token limit checks to prevent exceeding user memory capacity.
- Updated MemoryViewer to include a button for opening the memory creation dialog.
- Enhanced localization support for new messages related to memory creation.

feat: enhance message processing with configurable window size

- Updated AgentClient to use a configurable message window size for processing messages.
- Introduced messageWindowSize option in memory configuration schema with a default value of 5.
- Improved logic for selecting messages to process based on the configured window size.

chore: update librechat-data-provider version to 0.7.87 in package.json and package-lock.json

chore: remove OpenAPIPlugin and its associated tests

chore: remove MIGRATION_README.md as migration tasks are completed

ci: fix backend tests

chore: remove unused translation keys from localization file

chore: remove problematic test file and unused var in AgentClient

chore: remove unused import and import directly for JSDoc

* feat: add api package build stage in Dockerfile for improved modularity

* docs: reorder build steps in contributing guide for clarity
2025-06-07 18:52:22 -04:00

477 lines
14 KiB
JavaScript

const axios = require('axios');
const { genAzureEndpoint } = require('@librechat/api');
const { extractEnvVariable, TTSProviders } = require('librechat-data-provider');
const { getRandomVoiceId, createChunkProcessor, splitTextIntoChunks } = require('./streamAudio');
const { getCustomConfig } = require('~/server/services/Config');
const { logger } = require('~/config');
/**
* Service class for handling Text-to-Speech (TTS) operations.
* @class
*/
class TTSService {
/**
* Creates an instance of TTSService.
* @param {Object} customConfig - The custom configuration object.
*/
constructor(customConfig) {
this.customConfig = customConfig;
this.providerStrategies = {
[TTSProviders.OPENAI]: this.openAIProvider.bind(this),
[TTSProviders.AZURE_OPENAI]: this.azureOpenAIProvider.bind(this),
[TTSProviders.ELEVENLABS]: this.elevenLabsProvider.bind(this),
[TTSProviders.LOCALAI]: this.localAIProvider.bind(this),
};
}
/**
* Creates a singleton instance of TTSService.
* @static
* @async
* @returns {Promise<TTSService>} The TTSService instance.
* @throws {Error} If the custom config is not found.
*/
static async getInstance() {
const customConfig = await getCustomConfig();
if (!customConfig) {
throw new Error('Custom config not found');
}
return new TTSService(customConfig);
}
/**
* Retrieves the configured TTS provider.
* @returns {string} The name of the configured provider.
* @throws {Error} If no provider is set or multiple providers are set.
*/
getProvider() {
const ttsSchema = this.customConfig.speech.tts;
if (!ttsSchema) {
throw new Error(
'No TTS schema is set. Did you configure TTS in the custom config (librechat.yaml)?',
);
}
const providers = Object.entries(ttsSchema).filter(
([, value]) => Object.keys(value).length > 0,
);
if (providers.length !== 1) {
throw new Error(
providers.length > 1
? 'Multiple providers are set. Please set only one provider.'
: 'No provider is set. Please set a provider.',
);
}
return providers[0][0];
}
/**
* Selects a voice for TTS based on provider schema and request.
* @async
* @param {Object} providerSchema - The schema for the selected provider.
* @param {string} requestVoice - The requested voice.
* @returns {Promise<string>} The selected voice.
*/
async getVoice(providerSchema, requestVoice) {
const voices = providerSchema.voices.filter((voice) => voice && voice.toUpperCase() !== 'ALL');
let voice = requestVoice;
if (!voice || !voices.includes(voice) || (voice.toUpperCase() === 'ALL' && voices.length > 1)) {
voice = getRandomVoiceId(voices);
}
return voice;
}
/**
* Recursively removes undefined properties from an object.
* @param {Object} obj - The object to clean.
*/
removeUndefined(obj) {
Object.keys(obj).forEach((key) => {
if (obj[key] && typeof obj[key] === 'object') {
this.removeUndefined(obj[key]);
if (Object.keys(obj[key]).length === 0) {
delete obj[key];
}
} else if (obj[key] === undefined) {
delete obj[key];
}
});
}
/**
* Prepares the request for OpenAI TTS provider.
* @param {Object} ttsSchema - The TTS schema for OpenAI.
* @param {string} input - The input text.
* @param {string} voice - The selected voice.
* @returns {Array} An array containing the URL, data, and headers for the request.
* @throws {Error} If the selected voice is not available.
*/
openAIProvider(ttsSchema, input, voice) {
const url = ttsSchema?.url || 'https://api.openai.com/v1/audio/speech';
if (
ttsSchema?.voices &&
ttsSchema.voices.length > 0 &&
!ttsSchema.voices.includes(voice) &&
!ttsSchema.voices.includes('ALL')
) {
throw new Error(`Voice ${voice} is not available.`);
}
const data = {
input,
model: ttsSchema?.model,
voice: ttsSchema?.voices && ttsSchema.voices.length > 0 ? voice : undefined,
backend: ttsSchema?.backend,
};
const headers = {
'Content-Type': 'application/json',
Authorization: `Bearer ${extractEnvVariable(ttsSchema?.apiKey)}`,
};
return [url, data, headers];
}
/**
* Prepares the request for Azure OpenAI TTS provider.
* @param {Object} ttsSchema - The TTS schema for Azure OpenAI.
* @param {string} input - The input text.
* @param {string} voice - The selected voice.
* @returns {Array} An array containing the URL, data, and headers for the request.
* @throws {Error} If the selected voice is not available.
*/
azureOpenAIProvider(ttsSchema, input, voice) {
const url = `${genAzureEndpoint({
azureOpenAIApiInstanceName: extractEnvVariable(ttsSchema?.instanceName),
azureOpenAIApiDeploymentName: extractEnvVariable(ttsSchema?.deploymentName),
})}/audio/speech?api-version=${extractEnvVariable(ttsSchema?.apiVersion)}`;
if (
ttsSchema?.voices &&
ttsSchema.voices.length > 0 &&
!ttsSchema.voices.includes(voice) &&
!ttsSchema.voices.includes('ALL')
) {
throw new Error(`Voice ${voice} is not available.`);
}
const data = {
model: extractEnvVariable(ttsSchema?.model),
input,
voice: ttsSchema?.voices && ttsSchema.voices.length > 0 ? voice : undefined,
};
const headers = {
'Content-Type': 'application/json',
'api-key': ttsSchema.apiKey ? extractEnvVariable(ttsSchema.apiKey) : '',
};
return [url, data, headers];
}
/**
* Prepares the request for ElevenLabs TTS provider.
* @param {Object} ttsSchema - The TTS schema for ElevenLabs.
* @param {string} input - The input text.
* @param {string} voice - The selected voice.
* @param {boolean} stream - Whether to use streaming.
* @returns {Array} An array containing the URL, data, and headers for the request.
* @throws {Error} If the selected voice is not available.
*/
elevenLabsProvider(ttsSchema, input, voice, stream) {
let url =
ttsSchema?.url ||
`https://api.elevenlabs.io/v1/text-to-speech/${voice}${stream ? '/stream' : ''}`;
if (!ttsSchema?.voices.includes(voice) && !ttsSchema?.voices.includes('ALL')) {
throw new Error(`Voice ${voice} is not available.`);
}
const data = {
model_id: ttsSchema?.model,
text: input,
voice_settings: {
similarity_boost: ttsSchema?.voice_settings?.similarity_boost,
stability: ttsSchema?.voice_settings?.stability,
style: ttsSchema?.voice_settings?.style,
use_speaker_boost: ttsSchema?.voice_settings?.use_speaker_boost,
},
pronunciation_dictionary_locators: ttsSchema?.pronunciation_dictionary_locators,
};
const headers = {
'Content-Type': 'application/json',
'xi-api-key': extractEnvVariable(ttsSchema?.apiKey),
Accept: 'audio/mpeg',
};
return [url, data, headers];
}
/**
* Prepares the request for LocalAI TTS provider.
* @param {Object} ttsSchema - The TTS schema for LocalAI.
* @param {string} input - The input text.
* @param {string} voice - The selected voice.
* @returns {Array} An array containing the URL, data, and headers for the request.
* @throws {Error} If the selected voice is not available.
*/
localAIProvider(ttsSchema, input, voice) {
const url = ttsSchema?.url;
if (
ttsSchema?.voices &&
ttsSchema.voices.length > 0 &&
!ttsSchema.voices.includes(voice) &&
!ttsSchema.voices.includes('ALL')
) {
throw new Error(`Voice ${voice} is not available.`);
}
const data = {
input,
model: ttsSchema?.voices && ttsSchema.voices.length > 0 ? voice : undefined,
backend: ttsSchema?.backend,
};
const headers = {
'Content-Type': 'application/json',
Authorization: `Bearer ${extractEnvVariable(ttsSchema?.apiKey)}`,
};
if (extractEnvVariable(ttsSchema.apiKey) === '') {
delete headers.Authorization;
}
return [url, data, headers];
}
/**
* Sends a TTS request to the specified provider.
* @async
* @param {string} provider - The TTS provider to use.
* @param {Object} ttsSchema - The TTS schema for the provider.
* @param {Object} options - The options for the TTS request.
* @param {string} options.input - The input text.
* @param {string} options.voice - The voice to use.
* @param {boolean} [options.stream=true] - Whether to use streaming.
* @returns {Promise<Object>} The axios response object.
* @throws {Error} If the provider is invalid or the request fails.
*/
async ttsRequest(provider, ttsSchema, { input, voice, stream = true }) {
const strategy = this.providerStrategies[provider];
if (!strategy) {
throw new Error('Invalid provider');
}
const [url, data, headers] = strategy.call(this, ttsSchema, input, voice, stream);
[data, headers].forEach(this.removeUndefined.bind(this));
const options = { headers, responseType: stream ? 'stream' : 'arraybuffer' };
try {
return await axios.post(url, data, options);
} catch (error) {
logger.error(`TTS request failed for provider ${provider}:`, error);
throw error;
}
}
/**
* Processes a text-to-speech request.
* @async
* @param {Object} req - The request object.
* @param {Object} res - The response object.
* @returns {Promise<void>}
*/
async processTextToSpeech(req, res) {
const { input, voice: requestVoice } = req.body;
if (!input) {
return res.status(400).send('Missing text in request body');
}
try {
res.setHeader('Content-Type', 'audio/mpeg');
const provider = this.getProvider();
const ttsSchema = this.customConfig.speech.tts[provider];
const voice = await this.getVoice(ttsSchema, requestVoice);
if (input.length < 4096) {
const response = await this.ttsRequest(provider, ttsSchema, { input, voice });
response.data.pipe(res);
return;
}
const textChunks = splitTextIntoChunks(input, 1000);
for (const chunk of textChunks) {
try {
const response = await this.ttsRequest(provider, ttsSchema, {
voice,
input: chunk.text,
stream: true,
});
logger.debug(`[textToSpeech] user: ${req?.user?.id} | writing audio stream`);
await new Promise((resolve) => {
response.data.pipe(res, { end: chunk.isFinished });
response.data.on('end', resolve);
});
if (chunk.isFinished) {
break;
}
} catch (innerError) {
logger.error('Error processing manual update:', chunk, innerError);
if (!res.headersSent) {
return res.status(500).end();
}
return;
}
}
if (!res.headersSent) {
res.end();
}
} catch (error) {
logger.error('Error creating the audio stream:', error);
if (!res.headersSent) {
return res.status(500).send('An error occurred');
}
}
}
/**
* Streams audio data from the TTS provider.
* @async
* @param {Object} req - The request object.
* @param {Object} res - The response object.
* @returns {Promise<void>}
*/
async streamAudio(req, res) {
res.setHeader('Content-Type', 'audio/mpeg');
const provider = this.getProvider();
const ttsSchema = this.customConfig.speech.tts[provider];
const voice = await this.getVoice(ttsSchema, req.body.voice);
let shouldContinue = true;
req.on('close', () => {
logger.warn('[streamAudio] Audio Stream Request closed by client');
shouldContinue = false;
});
const processChunks = createChunkProcessor(req.user.id, req.body.messageId);
try {
while (shouldContinue) {
const updates = await processChunks();
if (typeof updates === 'string') {
logger.error(`Error processing audio stream updates: ${updates}`);
return res.status(500).end();
}
if (updates.length === 0) {
await new Promise((resolve) => setTimeout(resolve, 1250));
continue;
}
for (const update of updates) {
try {
const response = await this.ttsRequest(provider, ttsSchema, {
voice,
input: update.text,
stream: true,
});
if (!shouldContinue) {
break;
}
logger.debug(`[streamAudio] user: ${req?.user?.id} | writing audio stream`);
await new Promise((resolve) => {
response.data.pipe(res, { end: update.isFinished });
response.data.on('end', resolve);
});
if (update.isFinished) {
shouldContinue = false;
break;
}
} catch (innerError) {
logger.error('Error processing audio stream update:', update, innerError);
if (!res.headersSent) {
return res.status(500).end();
}
return;
}
}
if (!shouldContinue) {
break;
}
}
if (!res.headersSent) {
res.end();
}
} catch (error) {
logger.error('Failed to fetch audio:', error);
if (!res.headersSent) {
res.status(500).end();
}
}
}
}
/**
* Factory function to create a TTSService instance.
* @async
* @returns {Promise<TTSService>} A promise that resolves to a TTSService instance.
*/
async function createTTSService() {
return TTSService.getInstance();
}
/**
* Wrapper function for text-to-speech processing.
* @async
* @param {Object} req - The request object.
* @param {Object} res - The response object.
* @returns {Promise<void>}
*/
async function textToSpeech(req, res) {
const ttsService = await createTTSService();
await ttsService.processTextToSpeech(req, res);
}
/**
* Wrapper function for audio streaming.
* @async
* @param {Object} req - The request object.
* @param {Object} res - The response object.
* @returns {Promise<void>}
*/
async function streamAudio(req, res) {
const ttsService = await createTTSService();
await ttsService.streamAudio(req, res);
}
/**
* Wrapper function to get the configured TTS provider.
* @async
* @returns {Promise<string>} A promise that resolves to the name of the configured provider.
*/
async function getProvider() {
const ttsService = await createTTSService();
return ttsService.getProvider();
}
module.exports = {
textToSpeech,
streamAudio,
getProvider,
};