AssemblyAI Local Dev Loop

Overview

Set up a fast, reproducible local development workflow for AssemblyAI transcription and LeMUR projects with mocking, caching, and hot reload.

Prerequisites

• Completed assemblyai-install-auth setup
• Node.js 18+ with npm/pnpm
• TypeScript project with tsx or ts-node

Instructions

Step 1: Project Structure

my-assemblyai-project/
├── src/
│   ├── assemblyai/
│   │   ├── client.ts       # Singleton client
│   │   ├── transcribe.ts   # Transcription helpers
│   │   └── lemur.ts        # LeMUR helpers
│   └── index.ts
├── tests/
│   ├── transcribe.test.ts
│   └── fixtures/
│       └── sample-transcript.json  # Cached API response
├── .env.local              # Local secrets (git-ignored)
├── .env.example            # Template for team
└── package.json

Step 2: Dev Scripts

{
  "scripts": {
    "dev": "tsx watch src/index.ts",
    "test": "vitest",
    "test:watch": "vitest --watch",
    "transcribe": "tsx src/assemblyai/transcribe.ts"
  },
  "devDependencies": {
    "tsx": "^4.7.0",
    "vitest": "^1.6.0",
    "dotenv": "^16.4.0"
  },
  "dependencies": {
    "assemblyai": "^4.8.0"
  }
}

Step 3: Singleton Client with Env Loading

// src/assemblyai/client.ts
import 'dotenv/config';
import { AssemblyAI } from 'assemblyai';

let instance: AssemblyAI | null = null;

export function getClient(): AssemblyAI {
  if (!instance) {
    if (!process.env.ASSEMBLYAI_API_KEY) {
      throw new Error('ASSEMBLYAI_API_KEY not set. Copy .env.example to .env.local');
    }
    instance = new AssemblyAI({
      apiKey: process.env.ASSEMBLYAI_API_KEY,
    });
  }
  return instance;
}

Step 4: Cache Transcription Results for Fast Iteration

// src/assemblyai/transcribe.ts
import fs from 'fs';
import path from 'path';
import { getClient } from './client';
import type { Transcript } from 'assemblyai';

const CACHE_DIR = path.join(process.cwd(), '.assemblyai-cache');

export async function transcribeWithCache(
  audioUrl: string,
  options: Record<string, any> = {}
): Promise<Transcript> {
  const cacheKey = Buffer.from(audioUrl + JSON.stringify(options))
    .toString('base64url')
    .slice(0, 32);
  const cachePath = path.join(CACHE_DIR, `${cacheKey}.json`);

  // Return cached result in dev
  if (process.env.NODE_ENV !== 'production' && fs.existsSync(cachePath)) {
    console.log('[dev] Using cached transcript:', cacheKey);
    return JSON.parse(fs.readFileSync(cachePath, 'utf-8'));
  }

  const client = getClient();
  const transcript = await client.transcripts.transcribe({
    audio: audioUrl,
    ...options,
  });

  // Cache for next run
  fs.mkdirSync(CACHE_DIR, { recursive: true });
  fs.writeFileSync(cachePath, JSON.stringify(transcript, null, 2));
  console.log('[dev] Cached transcript:', cacheKey);

  return transcript;
}

Step 5: Test with Mocked Responses

// tests/transcribe.test.ts
import { describe, it, expect, vi, beforeEach } from 'vitest';
import { AssemblyAI } from 'assemblyai';

// Mock the assemblyai module
vi.mock('assemblyai', () => ({
  AssemblyAI: vi.fn().mockImplementation(() => ({
    transcripts: {
      transcribe: vi.fn().mockResolvedValue({
        id: 'test-transcript-id',
        status: 'completed',
        text: 'This is a test transcript.',
        audio_duration: 30,
        words: [
          { text: 'This', start: 0, end: 200, confidence: 0.99 },
          { text: 'is', start: 210, end: 350, confidence: 0.98 },
        ],
      }),
      get: vi.fn(),
      list: vi.fn(),
    },
    lemur: {
      task: vi.fn().mockResolvedValue({
        request_id: 'test-lemur-id',
        response: 'Test summary of the audio.',
      }),
    },
  })),
}));

describe('Transcription', () => {
  it('should transcribe audio and return text', async () => {
    const client = new AssemblyAI({ apiKey: 'test-key' });
    const result = await client.transcripts.transcribe({
      audio: 'https://example.com/audio.wav',
    });

    expect(result.status).toBe('completed');
    expect(result.text).toContain('test transcript');
    expect(result.words).toHaveLength(2);
  });

  it('should run LeMUR task on transcript', async () => {
    const client = new AssemblyAI({ apiKey: 'test-key' });
    const { response } = await client.lemur.task({
      transcript_ids: ['test-transcript-id'],
      prompt: 'Summarize this.',
    });

    expect(response).toContain('summary');
  });
});

Output

• Hot-reloading dev server with tsx watch
• Cached transcription results to avoid repeated API calls during dev
• Mocked test suite that runs without API credentials
• Environment variable management with .env.local

Error Handling

Resources

• AssemblyAI Node SDK
• Vitest Documentation
• tsx Documentation

Next Steps

See assemblyai-sdk-patterns for production-ready code patterns.