foundation-models-on-device

Patterns for integrating Apple's on-device language model into apps using the FoundationModels framework. Covers text generation, structured output with @Generable , custom tool calling, and snapshot streaming — all running on-device for privacy and offline support. Always check model availability before creating a session: Key points for instructions: Generate structured Swift types instead of raw strings: Let the model invoke custom code for domain-specific tasks: Stream structured responses for real-time UI with PartiallyGenerated types: - Building AI-powered features using Apple Intelligence on-device - Generating or summarizing text without cloud dependency - Extracting structured data from natural language input - Implementing custom tool calling for domain-specific AI actions - Streaming structured responses for real-time UI updates - Need privacy-preserving AI (no data leaves the device) - Define the model's role ("You are a mentor") - Specify what to do ("Help extract calendar events") - Set style preferences ("Respond as briefly as possible") - Add safety measures ("Respond with 'I can't help with that' for dangerous requests") - .range(0...20) — numeric range - .count(3) — array element count - description: — semantic guidance for generation - Always check model.availability before creating a session — handle all unavailability cases - Use instructions to guide...