assemblyai-core-workflow-b

name	assemblyai-core-workflow-b
description	Execute AssemblyAI streaming transcription and LeMUR workflows. Use when implementing real-time speech-to-text, live captions, voice agents, or LLM-powered audio analysis with LeMUR. Trigger with phrases like "assemblyai streaming", "assemblyai real-time", "assemblyai live transcription", "assemblyai LeMUR", "assemblyai summarize audio".
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","ai","speech-to-text","assemblyai","streaming","lemur"]
compatible-with	claude-code

AssemblyAI Core Workflow B — Streaming & LeMUR

Overview

Two advanced workflows: (1) real-time streaming transcription via WebSocket for live captioning and voice agents, and (2) LeMUR for applying LLMs to transcripts — summarization, Q&A, action items, and custom tasks.

Prerequisites

• assemblyai package installed (npm install assemblyai)
• API key configured in ASSEMBLYAI_API_KEY
• For streaming: microphone or audio stream source

Part 1: Real-Time Streaming Transcription

Step 1: Basic Streaming Setup

import { AssemblyAI } from 'assemblyai';

const client = new AssemblyAI({
  apiKey: process.env.ASSEMBLYAI_API_KEY!,
});

const transcriber = client.streaming.createService({
  // Model options: 'nova-3' (default), 'nova-3-pro' (highest accuracy)
  speech_model: 'nova-3',
  sample_rate: 16000,
});

transcriber.on('open', ({ sessionId }) => {
  console.log('Session opened:', sessionId);
});

transcriber.on('transcript', (message) => {
  // message_type: 'PartialTranscript' or 'FinalTranscript'
  if (message.message_type === 'FinalTranscript') {
    console.log('[Final]', message.);
  }  {
    process..();
  }
});

transcriber.(,  {
  .(, error);
});

transcriber.(,  {
  .(, code, reason);
});

 transcriber.();