The interface provides direct access to on-device processing and Private Cloud Compute, ensuring user data remains inaccessible to Apple or external parties. It supports a standardized Language Model protocol that connects applications to third-party server options like Claude and Gemini alongside Apple's proprietary models. Teams can implement multimodal prompts, guided generation, and dynamic adjustments to reasoning profiles within active conversations. The platform also works seamlessly with the Vision framework to handle on-device barcode reading and optical character recognition.
Key points
On-device processing and Private Cloud Compute integration allow applications to handle a…: On-device processing and Private Cloud Compute integration allow applications to handle artificial intelligence tasks privately without internet connectivity.
Dynamic Profiles permit developers to adjust toolsets, models, and reasoning depths durin…: Dynamic Profiles permit developers to adjust toolsets, models, and reasoning depths during an active session while maintaining the conversation history.
Apple is releasing an Evaluations framework, a Python SDK, and dedicated tooling to help…: Apple is releasing an Evaluations framework, a Python SDK, and dedicated tooling to help engineering teams test dynamic prompt behaviors.
Sources checked by our analysis pipeline: 1
Get started with the Foundation Models framework
The Foundation Models framework is the best way to use any large language model in your app. Whether you’re generating a quick summary or creating dynamic agents, the framework has what you need.
The Foundation Models framework is the best way to use any large language model in your app. Whether you’re generating a quick summary or creating dynamic agents, the framework has what you need.
The Foundation Models framework is a native Swift API for integrating any large language model into your app — including direct access to the Apple Foundation Models on-device and in Private Cloud Compute. Powerful capabilities like guided generation, tool calling, image understanding, and Dynamic Profiles are built in, so you have what you need to build unique experiences.
Multimodal prompts let you pass images alongside text so your app can reason about visual content. This opens up new categories of experiences you can build with image understanding — it's as simple as attaching an image to your prompt. The Vision framework is also integrated directly, giving your…
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