castai-reference-architecture

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

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castai-pack

Claude Code skill pack for Cast AI (18 skills)

saas packs v1.0.0
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Installation

This skill is included in the castai-pack plugin:

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

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Instructions

Cast AI Reference Architecture

Overview

Production-ready architecture patterns for Cast AI integrations.

Prerequisites

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

Project Structure


my-castai-project/
├── src/
│   ├── castai/
│   │   ├── 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/
│   │   └── castai/
│   │       ├── index.ts        # Service facade
│   │       ├── sync.ts         # Data synchronization
│   │       └── cache.ts        # Caching layer
│   ├── api/
│   │   └── castai/
│   │       └── webhook.ts      # Webhook endpoint
│   └── jobs/
│       └── castai/
│           └── sync.ts         # Background sync job
├── tests/
│   ├── unit/
│   │   └── castai/
│   └── integration/
│       └── castai/
├── config/
│   ├── castai.development.json
│   ├── castai.staging.json
│   └── castai.production.json
└── docs/
    └── castai/
        ├── SETUP.md
        └── RUNBOOK.md

Layer Architecture


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

Key Components

Step 1: Client Wrapper


// src/castai/client.ts
export class Cast AIService {
  private client: CastAIClient;
  private cache: Cache;
  private monitor: Monitor;

  constructor(config: Cast AIConfig) {
    this.client = new CastAIClient(config);
    this.cache = new Cache(config.cacheOptions);
    this.monitor = new Monitor('castai');
  }

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

Step 2: Error Boundary


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

export function wrapCast AIError(error: unknown): Cast AIServiceError {
  // Transform SDK errors to application errors
}

Step 3: Health Check


// src/castai/health.ts
export async function checkCast AIHealth(): Promise<HealthStatus> {
  try {
    const start = Date.now();
    await castaiClient.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)   │
└──────┬──────┘    └─────────────┘
       │
       ▼
┌─────────────┐
│ Cast AI    │
│   Client    │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ Cast AI    │
│   API       │
└─────────────┘

Configuration Management


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

export function loadCast AIConfig(): Cast AIConfig {
  const env = process.env.NODE_ENV || 'development';
  return require(`./castai.${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 Cast AI operations.

Step 4: Configure Health Checks

Add health check endpoint for Cast AI 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 Cast AI types
Test isolation Shared state Use dependency injection

Examples

Quick Setup Script


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

Resources

Flagship Skills

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

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