Back to list
jeremylongshore

vastai-reference-architecture

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


name: vastai-reference-architecture description: | Implement Vast.ai reference architecture with best-practice project layout. Use when designing new Vast.ai integrations, reviewing project structure, or establishing architecture standards for Vast.ai applications. Trigger with phrases like "vastai architecture", "vastai best practices", "vastai project structure", "how to organize vastai", "vastai layout". allowed-tools: Read, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Vast.ai Reference Architecture

Overview

Production-ready architecture patterns for Vast.ai integrations.

Prerequisites

  • Understanding of layered architecture
  • Vast.ai SDK knowledge
  • TypeScript project setup
  • Testing framework configured

Project Structure

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

Layer Architecture

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

Key Components

Step 1: Client Wrapper

// src/vastai/client.ts
export class Vast.aiService {
  private client: Vast.aiClient;
  private cache: Cache;
  private monitor: Monitor;

  constructor(config: Vast.aiConfig) {
    this.client = new Vast.aiClient(config);
    this.cache = new Cache(config.cacheOptions);
    this.monitor = new Monitor('vastai');
  }

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

Step 2: Error Boundary

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

export function wrapVast.aiError(error: unknown): Vast.aiServiceError {
  // Transform SDK errors to application errors
}

Step 3: Health Check

// src/vastai/health.ts
export async function checkVast.aiHealth(): Promise<HealthStatus> {
  try {
    const start = Date.now();
    await vastaiClient.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)   │
└──────┬──────┘    └─────────────┘
       │
       ▼
┌─────────────┐
│ Vast.ai    │
│   Client    │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ Vast.ai    │
│   API       │
└─────────────┘

Configuration Management

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

export function loadVast.aiConfig(): Vast.aiConfig {
  const env = process.env.NODE_ENV || 'development';
  return require(`./vastai.${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 Vast.ai operations.

Step 4: Configure Health Checks

Add health check endpoint for Vast.ai connectivity.

Output

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

Error Handling

IssueCauseSolution
Circular dependenciesWrong layeringSeparate concerns by layer
Config not loadingWrong pathsVerify config file locations
Type errorsMissing typesAdd Vast.ai types
Test isolationShared stateUse dependency injection

Examples

Quick Setup Script

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

Resources

Flagship Skills

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

Score

Total Score

85/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 1000以上

+15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

+5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

💬

Reviews coming soon