deepgram-core-workflow-b

# Deepgram Core Workflow B: Real-time Streaming

## Overview
Implement real-time streaming transcription using Deepgram's WebSocket API for live audio processing.

## Prerequisites
- Completed `deepgram-install-auth` setup
- Understanding of WebSocket patterns
- Audio input source (microphone or stream)

## Instructions

### Step 1: Set Up WebSocket Connection
Initialize a live transcription connection with Deepgram.

### Step 2: Configure Stream Options
Set up interim results, endpointing, and language options.

### Step 3: Handle Events
Implement handlers for transcript events and connection lifecycle.

### Step 4: Stream Audio Data
Send audio chunks to the WebSocket connection.

## Output
- Live transcription WebSocket client
- Event handlers for real-time results
- Audio streaming pipeline
- Graceful connection management

## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Connection Closed | Network interruption | Implement auto-reconnect |
| Buffer Overflow | Too much audio data | Reduce sample rate or chunk size |
| No Transcripts | Silent audio | Check audio levels and format |
| High Latency | Network/processing delay | Use interim results |

## Examples

### TypeScript WebSocket Client
```typescript
// services/live-transcription.ts
import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';

export interface LiveTranscriptionOptions {
  model?: 'nova-2' | 'nova' | 'enhanced' | 'base';
  language?: string;
  punctuate?: boolean;
  interimResults?: boolean;
  endpointing?: number;
  vadEvents?: boolean;
}

export class LiveTranscriptionService {
  private client;
  private connection: any = null;

  constructor(apiKey: string) {
    this.client = createClient(apiKey);
  }

  async start(
    options: LiveTranscriptionOptions = {},
    handlers: {
      onTranscript?: (transcript: string, isFinal: boolean) => void;
      onError?: (error: Error) => void;
      onClose?: () => void;
    } = {}
  ): Promise<void> {
    thi