deepgram-core-workflow-a

# Deepgram Core Workflow A: Pre-recorded Transcription ## Overview Production pre-recorded transcription service using Deepgram's REST API. Covers `transcribeUrl` and `transcribeFile`, speaker diarization, audio intelligence (summarization, topic detection, sentiment, intent), batch processing with concurrency control, and callback-based async transcription for large files. ## Prerequisites - `@deepgram/sdk` installed, `DEEPGRAM_API_KEY` configured - Audio files: WAV, MP3, FLAC, OGG, M4A, or WebM - For batch: `p-limit` package (`npm install p-limit`) ## Instructions ### Step 1: Transcription Service Class ```typescript import { createClient, DeepgramClient } from '@deepgram/sdk'; import { readFileSync } from 'fs'; interface TranscribeOptions { model?: 'nova-3' | 'nova-2' | 'nova-2-meeting' | 'nova-2-phonecall' | 'base'; language?: string; diarize?: boolean; utterances?: boolean; paragraphs?: boolean; smart_format?: boolean; summarize?: boolean; // Audio intelligence detect_topics?: boolean; // Topic detection sentiment?: boolean; // Sentiment analysis intents?: boolean; // Intent recognition keywords?: string[]; // Keyword boosting: ["term:weight"] callback?: string; // Async callback URL } class DeepgramTranscriber { private client: DeepgramClient; constructor(apiKey: string) { this.client = createClient(apiKey); } async transcribeUrl(url: string, opts: TranscribeOptions = {}) { const { result, er...