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iOS 26 chat app showcasing FoundationModels framework: on-device LLMs, tool calling, EventKit integration, and privacy-first AI implementation

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Foundation Models Chat App Tutorial

A comprehensive iOS chat application demonstrating the new FoundationModels framework introduced in iOS 26. This tutorial app showcases how to integrate on-device large language models (LLMs) with custom tools and real-time chat functionality.

🎯 Overview

This chat application serves as a practical example of Apple's FoundationModels framework, featuring:

  • On-device LLM integration using FoundationModels
  • Custom tool implementation for calendar event creation
  • Real-time chat interface with SwiftUI
  • MVVM architecture for clean code organization
  • Tool calling capabilities that allow the AI to interact with system APIs

πŸ”§ Features

Core Functionality

  • Interactive chat interface with on-device AI responses
  • Real-time typing indicators and message timestamps
  • Automatic model availability detection and user feedback
  • Calendar event creation through natural language commands

Technical Highlights

  • FoundationModels Framework: Leverages Apple's new on-device LLM capabilities
  • Tool Integration: Custom CreateEventTool that allows the AI to create calendar events
  • EventKit Integration: Seamless calendar access with proper permission handling
  • Reactive Programming: Uses Combine for state management and UI updates

πŸ“± Requirements

  • iOS 26.0+
  • Xcode 26+ (Required for FoundationModels framework)
  • Apple Intelligence enabled on the device
  • Calendar access permissions

πŸ”‘ Key Components

OnDeviceLLMManager

The heart of the LLM integration, handling:

  • Model availability checking across different states
  • Session management with tool integration
  • Response generation with error handling
  • Publishing loading states for UI updates

CreateEventTool

A custom tool implementation that:

  • Conforms to the Tool protocol from FoundationModels
  • Uses @Generable and @Guide for parameter definition
  • Integrates with EventKit for calendar operations
  • Provides structured responses back to the LLM

ChatRepository

Manages chat data flow:

  • Message storage and publishing
  • Coordination between user input and LLM responses
  • Model availability status communication

πŸ“š Learning Resources

This tutorial demonstrates key concepts from:


Note: This tutorial requires the latest iOS 26 beta and may require adjustments as the FoundationModels framework evolves during the beta period.

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iOS 26 chat app showcasing FoundationModels framework: on-device LLMs, tool calling, EventKit integration, and privacy-first AI implementation

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