SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state

Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That meant writing two codepaths — one for local, one for cloud — and scattering branching logic across the app. SwiftAI centralizes that decision. Your feature code stays the same whether you’re on-device or cloud.

Example

  import SwiftAI
   
  let llm: any LLM = SystemLLM.ifAvailable ?? OpenaiLLM(model: "gpt-5-mini", apiKey: "<key>")

  let response = try await llm.reply(to: "Write a haiku about Hacker News")
  print(response.content)

Links

- GitHub (source, docs): https://github.com/mi12labs/SwiftAI

- System Design: https://github.com/mi12labs/SwiftAI/blob/main/Docs/Proposals...

- Swift Package Index (compat/builds): https://swiftpackageindex.com/mi12labs/SwiftAI

- Discord https://discord.com/invite/ckfVGE5r and slack https://mi12swiftai.slack.com/join/shared_invite/zt-3c3lr6da...