This repository provides a comprehensive suite of Swift Playgrounds designed to showcase Apple's on-device Foundation Models. It targets developers seeking to integrate generative AI capabilities into their applications with a focus on privacy, offline access, and simplified integration, offering a practical, code-first approach to exploring advanced AI features without reliance on external APIs.

How It Works

The project leverages Apple's Foundation Models for on-device inference, enabling applications to utilize generative AI capabilities directly on the user's device. This approach prioritizes user privacy by eliminating the need for API keys and external data transmission. The framework supports structured output and tool-calling, facilitating agentic use cases and complex workflows, all while maintaining small app sizes and offering zero remote latency.

Quick Start & Requirements

• Primary Install/Run: Download and open the Swift Playgrounds within Xcode.
• Prerequisites: Requires Xcode and a compatible macOS version to run Swift Playgrounds. Specific Foundation Model availability may depend on the macOS version and hardware.
• Links:
  • Developer Docs: [ Developer Meet the Foundation Models framework](https://developer.apple.com/videos/play- સ્ટોર/WWDC2024/10174)
  • Technical Report: Apple Intelligence Foundation Language Models Tech Report 2025

Highlighted Details

• Features free, on-device inference for enhanced privacy and offline capabilities.
• Demonstrates simple integration, structured output, and tool-calling for agentic applications.
• Offers a wide catalog of examples covering chat, summarization, code assistance, translation, automation, planning, creative generation, education, safety, and agent patterns.

Maintenance & Community

Information regarding maintainers, community channels (like Discord/Slack), or a public roadmap is not present in the provided README.

Licensing & Compatibility

The README does not specify a software license. Compatibility is primarily within the Apple ecosystem, requiring macOS and Xcode for development and execution of the provided Swift Playgrounds.

Limitations & Caveats

The project is presented as a collection of examples rather than a standalone library or framework, requiring developers to adapt the playground code for integration into larger applications. Specific model capabilities and performance are dependent on the underlying Apple hardware and software versions.