foundation-models

# Foundation Models Integrate Apple's on-device LLM into your apps for privacy-preserving AI features. Companion references: **safety-and-guardrails.md** (model limits, prompt design, the four-layer safety stack), **models-and-agents.md** (Private Cloud Compute, `LanguageModel` protocol, vision input, `DynamicProfile` agentic sessions — the iOS 27 wave), and **utilities-package.md** (Apple's open-source utilities package: OpenAI-compatible endpoints, just-in-time Skills, history compression). ## When This Skill Activates - User wants AI text generation features - User needs structured data from natural language - User asks about prompting or LLM integration - User wants to implement AI assistants or agentic features (tool loops, multi-profile sessions) - User needs content summarization or extraction - User asks about Private Cloud Compute, guardrails, or model safety ## Model Fit — Check Before Building The on-device model is ~3B parameters (2-bit quantized): built for **summarization, extraction, classification, tagging, revision, short chat** — not math, code generation, facts, or world knowledge (WWDC25 248). For capability boundaries, prompt-design rules, and the safety stack, read `safety-and-guardrails.md` first. For anything bigger, `PrivateCloudComputeLanguageModel` (32k context, reasoning) and third-party backends are in `models-and-agents.md`. ## Quick Start ### 1. Check Availability ```swift import FoundationModels struct IntelligentView: View { priva...