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Deepgram core workflow b

Skill jeremylongshore/claude-code-plugins-plus-skills/skills/.curated/deepgram-core-workflow-b

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill deepgram-core-workflow-b

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What its author says it does

Copied from the file, not written here

'Implement real-time streaming transcription with Deepgram WebSocket.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

9.2 KB, ~2.1k tokens by cl100k_base, as published. Nobody here has run it

Deepgram Core Workflow B: Live Streaming Transcription

Overview

Real-time streaming transcription using Deepgram's WebSocket API. The SDK manages the WebSocket connection via listen.live(). Covers microphone capture, interim/final result handling, speaker diarization, UtteranceEnd detection, auto-reconnect, and building an SSE endpoint for browser clients.

Prerequisites

  • @deepgram/sdk installed, DEEPGRAM_API_KEY configured
  • Audio source: microphone (via Sox/rec), file stream, or WebSocket audio from browser
  • For mic capture: sox installed (apt install sox / brew install sox)

Instructions

Step 1: Basic Live Transcription

import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';

const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);

const connection = deepgram.listen.live({
  model: 'nova-3',
  language: 'en',
  smart_format: true,
  punctuate: true,
  interim_results: true,      // Show in-progress results
  utterance_end_ms: 1000,     // Silence threshold for utterance end
  vad_events: true,           // Voice activity detection events
  encoding: 'linear16',       // 16-bit PCM
  sample_rate: 16000,         // 16 kHz
  channels: 1,                // Mono
});

// Connection lifecycle events
connection.on(LiveTranscriptionEvents.Open, () => {
  console.log('WebSocket connected to Deepgram');
});

connection.on(LiveTranscriptionEvents.Close, () => {
  console.log('WebSocket closed');
});

connection.on(LiveTranscriptionEvents.Error, (err) => {
  console.error('Deepgram error:', err);
});

// Transcript events
connection.on(LiveTranscriptionEvents.Transcript, (data) => {
  const transcript = data.channel.alternatives[0]?.transcript;
  if (!transcript) return;

  if (data.is_final) {
    console.log(`[FINAL] ${transcript}`);
  } else {
    process.stdout.write(`\r[interim] ${transcript}`);
  }
});

// UtteranceEnd — fires when speaker pauses
connection.on(LiveTranscriptionEvents.UtteranceEnd, () => {
  console.log('\n--- utterance end ---');
});

Step 2: Microphone Capture with Sox

import { spawn } from 'child_process';

function startMicrophone(connection: any) {
  // Sox captures from default mic: 16kHz, 16-bit signed LE, mono
  const mic = spawn('rec', [
    '-q',              // Quiet (no progress)
    '-r', '16000',     // Sample rate
    '-e', 'signed',    // Encoding
    '-b', '16',        // Bit depth
    '-c', '1',         // Mono
    '-t', 'raw',       // Raw PCM output
    '-',               // Output to stdout
  ]);

  mic.stdout.on('data', (chunk: Buffer) => {
    if (connection.getReadyState() === 1) {  // WebSocket.OPEN
      connection.send(chunk);
    }
  });

  mic.on('error', (err) => {
    console.error('Microphone error:', err.message);
    console.log('Install sox: apt install sox / brew install sox');
  });

  return mic;
}

// Usage
const mic = startMicrophone(connection);

// Graceful shutdown
process.on('SIGINT', () => {
  mic.kill();
  connection.finish();  // Sends CloseStream message, waits for final results
  setTimeout(() => process.exit(0), 2000);
});

Step 3: Live Diarization

const connection = deepgram.listen.live({
  model: 'nova-3',
  smart_format: true,
  diarize: true,
  interim_results: false,  // Only final for cleaner diarization
  utterance_end_ms: 1500,
  encoding: 'linear16',
  sample_rate: 16000,
  channels: 1,
});

connection.on(LiveTranscriptionEvents.Transcript, (data) => {
  if (!data.is_final) return;

  const words = data.channel.alternatives[0]?.words ?? [];
  if (words.length === 0) return;

  // Group consecutive words by speaker
  let currentSpeaker = words[0].speaker;
  let segment = '';

  for (const word of words) {
    if (word.speaker !== currentSpeaker) {
      console.log(`Speaker ${currentSpeaker}: ${segment.trim()}`);
      currentSpeaker = word.speaker;
      segment = '';
    }
    segment += ` ${word.punctuated_word ?? word.word}`;
  }
  console.log(`Speaker ${currentSpeaker}: ${segment.trim()}`);
});

Step 4: Auto-Reconnect with Backoff

class ReconnectingLiveTranscription {
  private client: ReturnType<typeof createClient>;
  private connection: any = null;
  private reconnectAttempts = 0;
  private maxReconnectAttempts = 10;
  private baseDelay = 1000;

  constructor(apiKey: string, private options: Record<string, any>) {
    this.client = createClient(apiKey);
  }

  connect() {
    this.connection = this.client.listen.live(this.options);

    this.connection.on(LiveTranscriptionEvents.Open, () => {
      console.log('Connected');
      this.reconnectAttempts = 0;  // Reset on success
    });

    this.connection.on(LiveTranscriptionEvents.Close, () => {
      this.scheduleReconnect();
    });

    this.connection.on(LiveTranscriptionEvents.Error, (err: Error) => {
      console.error('Connection error:', err.message);
      this.scheduleReconnect();
    });

    return this.connection;
  }

  private scheduleReconnect() {
    if (this.reconnectAttempts >= this.maxReconnectAttempts) {
      console.error('Max reconnection attempts reached');
      return;
    }
    const delay = this.baseDelay * Math.pow(2, this.reconnectAttempts)
      + Math.random() * 1000;  // Jitter
    this.reconnectAttempts++;
    console.log(`Reconnecting in ${Math.round(delay)}ms (attempt ${this.reconnectAttempts})`);
    setTimeout(() => this.connect(), delay);
  }

  send(chunk: Buffer) {
    if (this.connection?.getReadyState() === 1) {
      this.connection.send(chunk);
    }
  }

  close() {
    this.maxReconnectAttempts = 0;  // Prevent reconnect
    this.connection?.finish();
  }
}

Step 5: SSE Endpoint for Browser Clients

import express from 'express';
import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';

const app = express();

app.get('/api/transcribe/stream', (req, res) => {
  res.setHeader('Content-Type', 'text/event-stream');
  res.setHeader('Cache-Control', 'no-cache');
  res.setHeader('Connection', 'keep-alive');

  const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
  const connection = deepgram.listen.live({
    model: 'nova-3',
    smart_format: true,
    interim_results: true,
    encoding: 'linear16',
    sample_rate: 16000,
    channels: 1,
  });

  connection.on(LiveTranscriptionEvents.Transcript, (data) => {
    const transcript = data.channel.alternatives[0]?.transcript;
    if (transcript) {
      res.write(`data: ${JSON.stringify({
        transcript,
        is_final: data.is_final,
        speech_final: data.speech_final,
      })}\n\n`);
    }
  });

  // Client provides audio via a paired WebSocket (see browser setup)
  req.on('close', () => {
    connection.finish();
  });
});

Step 6: KeepAlive for Long Sessions

// Deepgram closes idle connections after ~10s of no audio.
// Send KeepAlive messages during silence periods.
connection.on(LiveTranscriptionEvents.Open, () => {
  const keepAliveInterval = setInterval(() => {
    if (connection.getReadyState() === 1) {
      connection.keepAlive();
    }
  }, 8000);  // Every 8 seconds

  connection.on(LiveTranscriptionEvents.Close, () => {
    clearInterval(keepAliveInterval);
  });
});

Output

  • Live WebSocket transcription with interim/final results
  • Microphone capture pipeline (Sox -> Deepgram)
  • Speaker diarization in streaming mode
  • Auto-reconnect with exponential backoff and jitter
  • SSE endpoint for browser integration
  • KeepAlive handling for long sessions

Error Handling

IssueCauseSolution
WebSocket closes immediatelyInvalid API key or bad encoding paramsCheck key, verify encoding/sample_rate match audio
No transcripts receivedAudio not being sent or wrong formatVerify connection.send(chunk) is called with raw PCM
High latencyNetwork congestionUse interim_results: true for perceived speed
rec command not foundSox not installedapt install sox or brew install sox
Connection drops after 10sNo audio + no KeepAliveSend connection.keepAlive() every 8s
Garbled outputSample rate mismatchEnsure audio sample rate matches sample_rate option

Resources

Next Steps

Proceed to deepgram-data-handling for transcript processing and storage patterns.

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