assemblyai-core-workflow-b

# 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 ```typescript 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.text); } else { process.stdout.write(`\r[Partial] ${message.text}`); } }); transcriber.on('error', (error) => { console.error('Streaming error:', error); }); transcriber.on('close', (code, reason) => { console.log('Session closed:', code, reason); }); await transcriber.connect(); // Send audio chunks (16-bit PCM, 16kHz mono) // transcriber.sendAudio(...