Foundation Lab 1.0 is the first stable release of the experiment workbench for Apple’s Foundation Models framework, designed to help beginners start from working recipes while giving experts a fully configurable environment.
Highlights
- Replaces the crowded Home, Lab, and Studio hierarchy with a focused Library / Playground / Runs workflow inspired by Create ML.
- Adds 34 curated recipes organized from beginner to expert, alongside custom prompts, model runtime, reasoning, generation options, tools, and runnable Swift export.
- Saves experiments and exact run snapshots, including transcript context, tool calls and results, timing, model configuration, and errors.
- Adds real Search1, Open-Meteo, MapKit, and Core Location integrations instead of placeholder playground behavior.
- Makes Xcode 27 examples explicit about what is live, deterministic, app-owned, or reference-only; runtime telemetry now reports real streamed usage and app-measured timing.
- Adds macOS AppBench Evaluations replay, an image-input resolution probe, and a Gemini video session built through custom
LanguageModelexecution. - Adopts Swift 6 complete concurrency and hardens cancellation, voice/text overlap, audio-session work, persistence recovery, multi-window ownership, and Private Cloud Compute fallback behavior.
- Localizes the complete primary workflow across all ten supported locales and adds native macOS commands, Settings, and adaptive iPhone/iPad presentation.
Validation
- Foundation Lab builds passed for macOS and iOS Simulator with Xcode 27.
- Strict SwiftLint passed.
- Root Swift package: 160 tests passed.
- AppBench Evaluations: 12 tests passed.
- Adapter Studio: 17 tests passed.
- Image Input Probe: 13 tests passed.
- All required GitHub checks passed on the release commit.
Requirements
- Xcode 27
- iOS 26.0+ or macOS 26.0+
- Apple Intelligence enabled on a compatible Apple Silicon device
Full Changelog: 0.3.0...1.0.0