groq-core-workflow-b

# Groq Core Workflow B: Audio, Vision & Speech ## Overview Beyond chat completions, Groq provides ultra-fast audio transcription (Whisper at 216x real-time), multimodal vision (Llama 4 Scout/Maverick), and text-to-speech. These endpoints use the same `groq-sdk` client. ## Prerequisites - `groq-sdk` installed, `GROQ_API_KEY` set - For audio: audio files in supported formats - For vision: image URLs or base64 images ## Audio Models | Model ID | Languages | Speed | Best For | |----------|-----------|-------|----------| | `whisper-large-v3` | 100+ | 164x real-time | Best accuracy, multilingual | | `whisper-large-v3-turbo` | 100+ | 216x real-time | Best speed/accuracy balance | **Supported audio formats**: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm ## Instructions ### Step 1: Audio Transcription (Whisper) ```typescript import Groq from "groq-sdk"; import fs from "fs"; const groq = new Groq(); // Transcribe audio file async function transcribe(filePath: string): Promise<string> { const transcription = await groq.audio.transcriptions.create({ file: fs.createReadStream(filePath), model: "whisper-large-v3-turbo", response_format: "json", // or "text" or "verbose_json" language: "en", // Optional: ISO 639-1 code }); return transcription.text; } // With timestamps (verbose mode) async function transcribeWithTimestamps(filePath: string) { const transcription = await groq.audio.transcriptions.create({ file: fs.createReadS...