aiOla JavaScript SDK
The official JavaScript/TypeScript SDK for the aiOla API, work seamlessly in both Node.js and browser environments.
Documentation
Learn more about the aiOla API and how to use the SDK in our documentation.
Installation
npm install @aiola/sdk
yarn add @aiola/sdk
Usage
Authentication
The aiOla SDK uses a two-step authentication process:
- Generate Access Token: Use your API key to create a temporary access token, save it for later use
- Create Client: Use the access token to instantiate the client, make sure to save
Step 1: Generate Access Token
import { AiolaClient } from '@aiola/sdk';
const { accessToken, sessionId } = await AiolaClient.grantToken({
apiKey: AIOLA_API_KEY
});
Step 2: Create Client
const client = new AiolaClient({
accessToken: accessToken
});
Error Handling
The SDK automatically handles common scenarios like concurrency limits:
try {
const { accessToken } = await AiolaClient.grantToken({ apiKey: AIOLA_API_KEY });
} catch (error) {
if (error.code === 'MAX_CONCURRENCY_REACHED') {
console.log('Concurrency limit reached. Please wait for existing sessions to expire.');
}
}
Session Management
Close Session on Server:
await AiolaClient.closeSession(accessToken, {
apiKey: AIOLA_API_KEY
});
Custom base URL (enterprises)
const { accessToken } = await AiolaClient.grantToken({
apiKey: AIOLA_API_KEY,
authBaseUrl: 'https://mycompany.auth.aiola.ai',
});
const client = new AiolaClient({
accessToken,
baseUrl: 'https://mycompany.api.aiola.ai',
});
Speech-to-Text – transcribe file
import { AiolaClient } from '@aiola/sdk';
import fs from 'fs/promises';
async function transcribeFile() {
try {
const { accessToken } = await AiolaClient.grantToken({ apiKey: AIOLA_API_KEY });
const client = new AiolaClient({ accessToken });
const file = await fs.readFile('path/to/your/audio.wav');
const transcript = await client.stt.transcribeFile({
file: file,
language: 'en',
keywords: {
"<word_to_catch>": "<word_transcribe>",
},
});
console.log(transcript);
} catch (error) {
console.error('Error transcribing file:', error);
}
}
transcribeFile();
Speech-to-Text – live streaming
import { AiolaClient } from '@aiola/sdk';
const AIOLA_API_KEY = process.env.AIOLA_API_KEY || 'YOUR_API_KEY';
async function liveStreaming() {
try {
const { accessToken } = await AiolaClient.grantToken({ apiKey: AIOLA_API_KEY });
const client = new AiolaClient({ accessToken });
const connection = await client.stt.stream({
langCode: 'en',
keywords: {
"venus": "venuss",
},
});
connection.on('transcript', (data) => {
console.log('Transcript:', data.transcript);
});
connection.on('connect', async () => {
console.log('Connected to streaming service');
const response = await fetch("https://github.com/aiola-lab/aiola-js-sdk/raw/refs/heads/main/examples/stt/assets/sample-en.wav");
const audioData = await response.arrayBuffer();
connection.send(Buffer.from(audioData));
});
connection.on('disconnect', () => {
console.log('Disconnected from streaming service');
});
connection.on('error', (error) => {
console.error('Streaming error:', error);
});
connection.connect();
} catch (error) {
console.error('Error setting up streaming:', error);
}
}
liveStreaming();
Text-to-Speech
import fs from 'fs';
import { AiolaClient } from '@aiola/sdk';
async function createFile() {
try {
const { accessToken } = await AiolaClient.grantToken({ apiKey: AIOLA_API_KEY });
const client = new AiolaClient({ accessToken });
const audio = await client.tts.synthesize({
text: 'Hello, how can I help you today?',
voice: 'jess',
language: 'en',
});
const fileStream = fs.createWriteStream('./output.wav');
for await (const chunk of audio) {
fileStream.write(chunk);
}
console.log('Audio file created successfully');
} catch (error) {
console.error('Error creating audio file:', error);
}
}
createFile();
Text-to-Speech – streaming
import { AiolaClient } from '@aiola/sdk';
async function streamTts() {
try {
const { accessToken } = await AiolaClient.grantToken({ apiKey: AIOLA_API_KEY });
const client = new AiolaClient({ accessToken });
const stream = await client.tts.stream({
text: 'Hello, how can I help you today?',
voice: 'jess',
language: 'en',
});
const audioChunks: Buffer[] = [];
for await (const chunk of stream) {
audioChunks.push(chunk);
}
console.log('Audio chunks received:', audioChunks.length);
} catch (error) {
console.error('Error streaming TTS:', error);
}
}
streamTts();
Browser example
a ready-made web app that demonstrates how to use the SDK directly in a browser to stream microphone audio to aiOla Speech-to-Text and receive live transcripts.
cd examples/stt/browser-mic-stream
npm install
npm run dev
- Uses the
AudioWorklet
API to capture microphone audio, convert it to 16-bit PCM (16 kHz, mono), and send it through the WebSocket returned.