Dynamic profiles let you switch language models, instructions, and tools within a single LanguageModelSession, enabling multi-agent orchestration patterns like baton-pass and phone-a-friend directly in your app. Combined with session properties and lifecycle modifiers, you can build context-aware, multi-stage AI workflows on-device and in the cloud.
ā¢ Route between on-device SystemLanguageModel and PrivateCloudComputeLanguageModel mid-session based on task complexity, cost, or privacy requirements
ā¢ DynamicInstructions and DynamicProfileModifier let you compose and reuse agent configurations across your codebase like SwiftUI views
ā¢ Lifecycle modifiers (onResponse) and session properties give you hooks to summarize transcripts, manage context windows, and share state across all agents in a session
Foundation Models is a new Apple framework introduced in iOS 27 that gives developers on-device access to the same Apple Intelligence language model powering system features, enabling text generation, structured output, and tool-calling entirely on-device without a network connection.
Visual Intelligence brings iOS 17's Visual Look Up capabilities to a new developer-facing API surface in iOS 27, letting apps pipe live camera frames or static images through on-device scene understanding to extract subjects, text, barcodes, and rich semantic labels without any cloud round-trip.
iOS 27 opens the Foundation Models framework to third-party LLM providers via a new public LanguageModel protocol, enabling anyone to integrate custom, server-based, or open-source models using the same Swift API as Apple's on-device system model.
In-depth guide
iOS 27 On-Device AI & Apple Intelligence āApp Schemas let developers describe their app's content and actions using pre-defined domain schemas (like the Calendar domain) so Siri can understand, search, and act on app data without custom NLP. Entities conforming to IndexedEntity are donated to Spotlight's semantic index, enabling natural-language queries over app content.