deepgram-core-workflow-b
Implement real-time streaming transcription with Deepgram WebSocket. Use when building live transcription, voice interfaces, real-time captioning, or voice AI applications. Trigger: "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming", "deepgram live".
Best use case
deepgram-core-workflow-b is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement real-time streaming transcription with Deepgram WebSocket. Use when building live transcription, voice interfaces, real-time captioning, or voice AI applications. Trigger: "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming", "deepgram live".
Teams using deepgram-core-workflow-b should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/deepgram-core-workflow-b/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How deepgram-core-workflow-b Compares
| Feature / Agent | deepgram-core-workflow-b | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implement real-time streaming transcription with Deepgram WebSocket. Use when building live transcription, voice interfaces, real-time captioning, or voice AI applications. Trigger: "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming", "deepgram live".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
```typescript
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
```typescript
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
```typescript
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
```typescript
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
```typescript
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
```typescript
// 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
| Issue | Cause | Solution |
|-------|-------|----------|
| WebSocket closes immediately | Invalid API key or bad encoding params | Check key, verify `encoding`/`sample_rate` match audio |
| No transcripts received | Audio not being sent or wrong format | Verify `connection.send(chunk)` is called with raw PCM |
| High latency | Network congestion | Use `interim_results: true` for perceived speed |
| `rec` command not found | Sox not installed | `apt install sox` or `brew install sox` |
| Connection drops after 10s | No audio + no KeepAlive | Send `connection.keepAlive()` every 8s |
| Garbled output | Sample rate mismatch | Ensure audio sample rate matches `sample_rate` option |
## Resources
- [Live Streaming Audio](https://developers.deepgram.com/docs/live-streaming-audio)
- [Streaming API Reference](https://developers.deepgram.com/reference/speech-to-text/listen-streaming)
- [End of Speech Detection](https://developers.deepgram.com/docs/understanding-end-of-speech-detection)
- [SDK LiveTranscriptionEvents](https://github.com/deepgram/deepgram-js-sdk)
## Next Steps
Proceed to `deepgram-data-handling` for transcript processing and storage patterns.Related Skills
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