assemblyai-reference-architecture

Implement AssemblyAI reference architecture with best-practice project layout. Use when designing new AssemblyAI integrations, reviewing project structure, or establishing architecture standards for AssemblyAI applications. Trigger with phrases like "assemblyai architecture", "assemblyai best practices", "assemblyai project structure", "how to organize assemblyai", "assemblyai layout".

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assemblyai-pack Plugin
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assemblyai-pack

Claude Code skill pack for AssemblyAI (18 skills)

saas packs v1.0.0
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Installation

This skill is included in the assemblyai-pack plugin:

/plugin install assemblyai-pack@claude-code-plugins-plus

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Instructions

AssemblyAI Reference Architecture

Overview

Production-ready architecture patterns for AssemblyAI integrations.

Prerequisites

  • Understanding of layered architecture
  • AssemblyAI SDK knowledge
  • TypeScript project setup
  • Testing framework configured

Project Structure


my-assemblyai-project/
├── src/
│   ├── assemblyai/
│   │   ├── client.ts           # Singleton client wrapper
│   │   ├── config.ts           # Environment configuration
│   │   ├── types.ts            # TypeScript types
│   │   ├── errors.ts           # Custom error classes
│   │   └── handlers/
│   │       ├── webhooks.ts     # Webhook handlers
│   │       └── events.ts       # Event processing
│   ├── services/
│   │   └── assemblyai/
│   │       ├── index.ts        # Service facade
│   │       ├── sync.ts         # Data synchronization
│   │       └── cache.ts        # Caching layer
│   ├── api/
│   │   └── assemblyai/
│   │       └── webhook.ts      # Webhook endpoint
│   └── jobs/
│       └── assemblyai/
│           └── sync.ts         # Background sync job
├── tests/
│   ├── unit/
│   │   └── assemblyai/
│   └── integration/
│       └── assemblyai/
├── config/
│   ├── assemblyai.development.json
│   ├── assemblyai.staging.json
│   └── assemblyai.production.json
└── docs/
    └── assemblyai/
        ├── SETUP.md
        └── RUNBOOK.md

Layer Architecture


┌─────────────────────────────────────────┐
│             API Layer                    │
│   (Controllers, Routes, Webhooks)        │
├─────────────────────────────────────────┤
│           Service Layer                  │
│  (Business Logic, Orchestration)         │
├─────────────────────────────────────────┤
│          AssemblyAI Layer        │
│   (Client, Types, Error Handling)        │
├─────────────────────────────────────────┤
│         Infrastructure Layer             │
│    (Cache, Queue, Monitoring)            │
└─────────────────────────────────────────┘

Key Components

Step 1: Client Wrapper


// src/assemblyai/client.ts
export class AssemblyAIService {
  private client: AssemblyAIClient;
  private cache: Cache;
  private monitor: Monitor;

  constructor(config: AssemblyAIConfig) {
    this.client = new AssemblyAIClient(config);
    this.cache = new Cache(config.cacheOptions);
    this.monitor = new Monitor('assemblyai');
  }

  async get(id: string): Promise<Resource> {
    return this.cache.getOrFetch(id, () =>
      this.monitor.track('get', () => this.client.get(id))
    );
  }
}

Step 2: Error Boundary


// src/assemblyai/errors.ts
export class AssemblyAIServiceError extends Error {
  constructor(
    message: string,
    public readonly code: string,
    public readonly retryable: boolean,
    public readonly originalError?: Error
  ) {
    super(message);
    this.name = 'AssemblyAIServiceError';
  }
}

export function wrapAssemblyAIError(error: unknown): AssemblyAIServiceError {
  // Transform SDK errors to application errors
}

Step 3: Health Check


// src/assemblyai/health.ts
export async function checkAssemblyAIHealth(): Promise<HealthStatus> {
  try {
    const start = Date.now();
    await assemblyaiClient.ping();
    return {
      status: 'healthy',
      latencyMs: Date.now() - start,
    };
  } catch (error) {
    return { status: 'unhealthy', error: error.message };
  }
}

Data Flow Diagram


User Request
     │
     ▼
┌─────────────┐
│   API       │
│   Gateway   │
└──────┬──────┘
       │
       ▼
┌─────────────┐    ┌─────────────┐
│   Service   │───▶│   Cache     │
│   Layer     │    │   (Redis)   │
└──────┬──────┘    └─────────────┘
       │
       ▼
┌─────────────┐
│ AssemblyAI    │
│   Client    │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ AssemblyAI    │
│   API       │
└─────────────┘

Configuration Management


// config/assemblyai.ts
export interface AssemblyAIConfig {
  apiKey: string;
  environment: 'development' | 'staging' | 'production';
  timeout: number;
  retries: number;
  cache: {
    enabled: boolean;
    ttlSeconds: number;
  };
}

export function loadAssemblyAIConfig(): AssemblyAIConfig {
  const env = process.env.NODE_ENV || 'development';
  return require(`./assemblyai.${env}.json`);
}

Instructions

Step 1: Create Directory Structure

Set up the project layout following the reference structure above.

Step 2: Implement Client Wrapper

Create the singleton client with caching and monitoring.

Step 3: Add Error Handling

Implement custom error classes for AssemblyAI operations.

Step 4: Configure Health Checks

Add health check endpoint for AssemblyAI connectivity.

Output

  • Structured project layout
  • Client wrapper with caching
  • Error boundary implemented
  • Health checks configured

Error Handling

Issue Cause Solution
Circular dependencies Wrong layering Separate concerns by layer
Config not loading Wrong paths Verify config file locations
Type errors Missing types Add AssemblyAI types
Test isolation Shared state Use dependency injection

Examples

Quick Setup Script


# Create reference structure
mkdir -p src/assemblyai/{handlers} src/services/assemblyai src/api/assemblyai
touch src/assemblyai/{client,config,types,errors}.ts
touch src/services/assemblyai/{index,sync,cache}.ts

Resources

Flagship Skills

For multi-environment setup, see assemblyai-multi-env-setup.

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