LibreChat/api/server/services/Files/Audio/TTSService.js
Danny Avila 9a210971f5
🛜 refactor: Streamline App Config Usage (#9234)
* WIP: app.locals refactoring

WIP: appConfig

fix: update memory configuration retrieval to use getAppConfig based on user role

fix: update comment for AppConfig interface to clarify purpose

🏷️ refactor: Update tests to use getAppConfig for endpoint configurations

ci: Update AppService tests to initialize app config instead of app.locals

ci: Integrate getAppConfig into remaining tests

refactor: Update multer storage destination to use promise-based getAppConfig and improve error handling in tests

refactor: Rename initializeAppConfig to setAppConfig and update related tests

ci: Mock getAppConfig in various tests to provide default configurations

refactor: Update convertMCPToolsToPlugins to use mcpManager for server configuration and adjust related tests

chore: rename `Config/getAppConfig` -> `Config/app`

fix: streamline OpenAI image tools configuration by removing direct appConfig dependency and using function parameters

chore: correct parameter documentation for imageOutputType in ToolService.js

refactor: remove `getCustomConfig` dependency in config route

refactor: update domain validation to use appConfig for allowed domains

refactor: use appConfig registration property

chore: remove app parameter from AppService invocation

refactor: update AppConfig interface to correct registration and turnstile configurations

refactor: remove getCustomConfig dependency and use getAppConfig in PluginController, multer, and MCP services

refactor: replace getCustomConfig with getAppConfig in STTService, TTSService, and related files

refactor: replace getCustomConfig with getAppConfig in Conversation and Message models, update tempChatRetention functions to use AppConfig type

refactor: update getAppConfig calls in Conversation and Message models to include user role for temporary chat expiration

ci: update related tests

refactor: update getAppConfig call in getCustomConfigSpeech to include user role

fix: update appConfig usage to access allowedDomains from actions instead of registration

refactor: enhance AppConfig to include fileStrategies and update related file strategy logic

refactor: update imports to use normalizeEndpointName from @librechat/api and remove redundant definitions

chore: remove deprecated unused RunManager

refactor: get balance config primarily from appConfig

refactor: remove customConfig dependency for appConfig and streamline loadConfigModels logic

refactor: remove getCustomConfig usage and use app config in file citations

refactor: consolidate endpoint loading logic into loadEndpoints function

refactor: update appConfig access to use endpoints structure across various services

refactor: implement custom endpoints configuration and streamline endpoint loading logic

refactor: update getAppConfig call to include user role parameter

refactor: streamline endpoint configuration and enhance appConfig usage across services

refactor: replace getMCPAuthMap with getUserMCPAuthMap and remove unused getCustomConfig file

refactor: add type annotation for loadedEndpoints in loadEndpoints function

refactor: move /services/Files/images/parse to TS API

chore: add missing FILE_CITATIONS permission to IRole interface

refactor: restructure toolkits to TS API

refactor: separate manifest logic into its own module

refactor: consolidate tool loading logic into a new tools module for startup logic

refactor: move interface config logic to TS API

refactor: migrate checkEmailConfig to TypeScript and update imports

refactor: add FunctionTool interface and availableTools to AppConfig

refactor: decouple caching and DB operations from AppService, make part of consolidated `getAppConfig`

WIP: fix tests

* fix: rebase conflicts

* refactor: remove app.locals references

* refactor: replace getBalanceConfig with getAppConfig in various strategies and middleware

* refactor: replace appConfig?.balance with getBalanceConfig in various controllers and clients

* test: add balance configuration to titleConvo method in AgentClient tests

* chore: remove unused `openai-chat-tokens` package

* chore: remove unused imports in initializeMCPs.js

* refactor: update balance configuration to use getAppConfig instead of getBalanceConfig

* refactor: integrate configMiddleware for centralized configuration handling

* refactor: optimize email domain validation by removing unnecessary async calls

* refactor: simplify multer storage configuration by removing async calls

* refactor: reorder imports for better readability in user.js

* refactor: replace getAppConfig calls with req.config for improved performance

* chore: replace getAppConfig calls with req.config in tests for centralized configuration handling

* chore: remove unused override config

* refactor: add configMiddleware to endpoint route and replace getAppConfig with req.config

* chore: remove customConfig parameter from TTSService constructor

* refactor: pass appConfig from request to processFileCitations for improved configuration handling

* refactor: remove configMiddleware from endpoint route and retrieve appConfig directly in getEndpointsConfig if not in `req.config`

* test: add mockAppConfig to processFileCitations tests for improved configuration handling

* fix: pass req.config to hasCustomUserVars and call without await after synchronous refactor

* fix: type safety in useExportConversation

* refactor: retrieve appConfig using getAppConfig in PluginController and remove configMiddleware from plugins route, to avoid always retrieving when plugins are cached

* chore: change `MongoUser` typedef to `IUser`

* fix: Add `user` and `config` fields to ServerRequest and update JSDoc type annotations from Express.Request to ServerRequest

* fix: remove unused setAppConfig mock from Server configuration tests
2025-08-26 12:10:18 -04:00

474 lines
14 KiB
JavaScript

const axios = require('axios');
const { logger } = require('@librechat/data-schemas');
const { genAzureEndpoint } = require('@librechat/api');
const { extractEnvVariable, TTSProviders } = require('librechat-data-provider');
const { getRandomVoiceId, createChunkProcessor, splitTextIntoChunks } = require('./streamAudio');
const { getAppConfig } = require('~/server/services/Config');
/**
* Service class for handling Text-to-Speech (TTS) operations.
* @class
*/
class TTSService {
/**
* Creates an instance of TTSService.
*/
constructor() {
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() {
return new TTSService();
}
/**
* 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');
}
const appConfig = await getAppConfig({
role: req.user?.role,
});
try {
res.setHeader('Content-Type', 'audio/mpeg');
const provider = this.getProvider();
const ttsSchema = appConfig?.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,
};