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apple-fm - Apple Foundation Models TypeScript SDK

Current Status: Development - TypeScript interfaces and testing scaffolding
Technology Stack: TypeScript, Jest testing, Node.js
Implementation: Stub interfaces with comprehensive test framework
Native Bridge Required: Real implementation needs Swift/Objective-C bridge

Technical Overview​

TypeScript SDK providing interfaces and validation for Apple Foundation Models integration. Currently implements stub methods with proper TypeScript typing, designed for extension with native bridge implementation.

Important: This is a development SDK with stub implementations. Actual AI inference requires a native bridge to Apple's on-device Foundation Models API via Swift/Objective-C.

Architecture​

Development SDK Structure:
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│  TypeScript     │───▶│  Native Bridge  │───▶│ Apple Foundation│
│  Interface      │    │  (Swift/ObjC)   │    │    Models       │
│  (Stubs)        │    │  (Required)     │    │   (On-device)   │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ Type Safety     │    │  Privacy        │    │  Performance    │
│ & Validation    │    │  Architecture   │    │  Optimization   │
└─────────────────┘    └─────────────────┘    └─────────────────┘

Implementation Status​

Implemented Features

  • TypeScript interface definitions
  • Input validation and error handling
  • Privacy mode configuration
  • Comprehensive Jest testing framework
  • TDDAI worker orchestration system
  • Performance monitoring interfaces

Stub Implementations

  • Text generation (returns mock responses)
  • Text summarization (basic text processing)
  • Model selection service (configuration only)
  • Privacy service (validation only)
  • Streaming service (mock streams)

Required for Production

  • Native Swift/Objective-C bridge to Apple APIs
  • On-device model integration
  • Actual Apple Intelligence API calls
  • Performance optimization for Apple Silicon

Apple Intelligence Availability​

Device Requirements​

  • iPhone: A17 Pro chip or later
  • iPad/Mac: M1 chip or later
  • OS: iOS 18.1+, iPadOS 18.1+, macOS Sequoia 15.1+

Feature Timeline​

  • October 2024: Initial features (Writing Tools, basic Siri updates)
  • December 2024: Enhanced features (ChatGPT integration, Image Playground)
  • March 2025: Expanded language support (planned)
  • Future: Advanced visual intelligence (in development)

Installation​

npm install @bluefly/apple-fm

Basic Usage (Development/Testing)​

Client Initialization​

import [AppleFMClient] from '@bluefly/apple-fm';

const client = new AppleFMClient({
  privacyMode: 'local', // 'local' | 'private' | 'shared'
  optimization: 'performance'
});

Text Generation (Stub Implementation)​

// Note: Returns mock responses in current implementation
const result = await client.generateText({
  model: 'apple-intelligence-large',
  prompt: 'Explain quantum computing',
  maxTokens: 500
});

console.log(result.text); // Mock response
console.log(result.metadata); // Processing metadata

Text Summarization​

const summary = await client.summarizeText({
  text: 'Long document content...',
  model: 'apple-intelligence-base',
  maxLength: 100
});

Privacy Architecture​

// Configure privacy modes
const config = {
  privacyMode: 'local',      // On-device processing only
  // privacyMode: 'private',  // Apple Private Cloud Compute
  // privacyMode: 'shared',   // Apple Intelligence API
};

const client = new AppleFMClient(config);

// Validate privacy compliance
const isCompliant = await client.validatePrivacyCompliance();

TDDAI Worker System​

The SDK includes 10 TDDAI workers for parallel development and testing:

# Run all worker tests
cd scripts
bash run-all-workers.sh

Available Workers:

  • Text generation validation
  • Summarization testing
  • Translation interface testing
  • Entity recognition validation
  • Sentiment analysis testing
  • Performance monitoring
  • Privacy architecture validation
  • Error handling testing
  • CLI bridge testing (requires Swift)
  • Drupal integration testing

Development​

# Install dependencies
npm install

# Run tests
npm test

# Test with coverage
npm run test:coverage

# Run TDDAI validation
npm run tdd:validate

# Type checking
npm run typecheck

Project Structure​

src/
├── client.ts          # Main client implementation (stubs)
├── services/          # Service implementations
│   ├── AuthenticationService.ts
│   ├── ModelSelectionService.ts
│   ├── PrivacyService.ts
│   └── StreamingService.ts
├── types/             # TypeScript definitions
│   ├── config.ts
│   ├── privacy.ts
│   ├── requests.ts
│   └── responses.ts
└── utils/             # Utility functions

Privacy Modes​

Local Processing​

  • 100% on-device computation
  • No network requests
  • Neural Engine optimization
  • Perfect privacy for sensitive data

Private Cloud Compute​

  • Apple's encrypted cloud processing
  • End-to-end encryption
  • No data retention
  • Cryptographic verification

Shared Intelligence​

  • Apple Intelligence API access
  • Anonymous processing
  • Optional data improvement participation
  • Maximum model capabilities

Testing Framework​

# Run comprehensive tests
npm test

# Run specific test suites
npm run test:unit
npm run test:integration

# Run TDDAI workers
npm run worker:run

# Validate implementation
npm run validate

Native Bridge Implementation​

For production use, implement a Swift/Objective-C bridge:

// Example Swift bridge structure
import Foundation
import NaturalLanguage

@objc class AppleFMBridge: NSObject {
    @objc func generateText(_ prompt: String) -> String {
        // Implement actual Apple Foundation Models API calls
        return "Generated text"
    }
}

Limitations​

Current Implementation

  • All methods return stub/mock responses
  • No actual AI processing performed
  • Requires native bridge for real functionality
  • Limited to TypeScript interface validation

System Requirements

  • Real implementation requires Apple Silicon (M1+) or A17 Pro+
  • macOS 15.1+ or iOS 18.1+ for actual Apple Intelligence
  • Swift/Objective-C bridge development needed
  • Native Apple developer account for API access

Development Constraints

  • Node.js/TypeScript cannot directly access Apple Foundation Models
  • Requires native app wrapper for real functionality
  • Limited testing without actual device integration
  • Privacy features are interface-only in current implementation

Use Cases​

Development & Testing

  • Interface validation and type checking
  • Test-driven development with TDDAI framework
  • Privacy architecture planning
  • Performance monitoring setup

Future Production

  • Native iOS/macOS app development
  • On-device AI processing integration
  • Privacy-compliant AI applications
  • Apple Silicon optimization

API Reference​

Full API documentation available in /docs/ directory:

  • /docs/AUTHENTICATION.md - Authentication setup
  • /docs/INTEGRATION.md - Integration guide
  • /docs/USE_CASES.md - Use case examples

License​

MIT

Development SDK: TypeScript interfaces with stub implementations
Production Ready: Requires native Swift/Objective-C bridge
Target Platform: Apple devices with Apple Intelligence support
Last Updated: June 2025