During WWDC26 Keynote a second generation on-device model was announced with better speech generation capabilities. Is there a new API available for developers to generate speech?

We get two error message in Xcode debug. apple.model.catalog we get 1 time at startup, and the nw_protocol_instance_set_output_handler Not calling remove_input_handler on 0x152ac3c00:udp we get on sartup and some time during running of the app. I have tested cutoff repos WS eg. But nothing helpss, thats for the nw_protocol. We have a fondationmodel in a repo but we check if it is available if not we do not touch it. Please help me? nw_protocol_instance_set_output_handler Not calling remove_input_handler on 0x152ac3c00:udp com.apple.modelcatalog.catalog sync: connection error during call: Error Domain=NSCocoaErrorDomain Code=4099 "The connection to service named com.apple.modelcatalog.catalog was invalidated: Connection init failed at lookup with error 159 - Sandbox restriction." UserInfo={NSDebugDescription=The connection to service named com.apple.modelcatalog.catalog was invalidated: Connection init failed at lookup with error 159 - Sandbox restriction.} reached max num connection attempts: 1 The function we have in the repo is this: public actor FoundationRepo: JobDescriptionChecker, SubskillSuggester { private var session: LanguageModelSession? private let isEnabled: Bool private let shouldUseLocalFoundation: Bool private let baseURLString = "https://xx.xx.xxx/xx" private let http: HTTPPac public init(http: HTTPPac, isEnabled: Bool = true) { self.http = http self.isEnabled = isEnabled self.session = nil guard isEnabled else { self.shouldUseLocalFoundation = false return } let model = SystemLanguageModel.default guard model.supportsLocale() else { self.shouldUseLocalFoundation = false return } switch model.availability { case .available: self.shouldUseLocalFoundation = true case .unavailable(.deviceNotEligible), .unavailable(.appleIntelligenceNotEnabled), .unavailable(.modelNotReady): self.shouldUseLocalFoundation = false @unknown default: self.shouldUseLocalFoundation = false } } So here we decide if we are going to use iPhone ML or my backend-remote?

I keep getting the error “An unsupported language or locale was used.” Is there any documentation that specifies the accepted languages or locales in Foundation model?

Apple demonstrated agentic behavior (e.g., the Passwords app changing credentials on the user's behalf), and Siri AI can now take systemwide actions in apps. Is there a first-class confirmation API for App Intents — a way to mark an action as requiring explicit user approval before execution, with a standard confirmation surface — or must developers build their own confirmation UI inside the intent? For irreversible or high-impact actions, what is Apple's recommended pattern to prevent the model from executing them autonomously, and can an intent declare a risk/sensitivity level the system respects? When Siri AI invokes an action, what authentication/authorization context is available to the intent (biometric gate, user-presence assertion), and how should an app require step-up auth for sensitive operations? Is there a supported audit trail for actions taken via Siri AI on the user's behalf, so an app can show the user what was done and when? How does the system handle an action that fails or partially completes during an agentic, multi-step flow?

Hi, I'm trying to add FoundationModels to an older project but always get the following error: "Unable to resolve 'dependency' 'FoundationModels' import FoundationModels" The error comes and goes while its compiling and then doesn't run the app. I have my target set to 26.0 (and can't go any higher) and am using Xcode 26 (17E192). Is anyone else having this issue? Thanks, Dan Uff

Hi, I'm stuck distributing a custom FoundationModels adapter as an Apple-hosted managed asset pack via TestFlight. Everything looks correctly configured end to end but the download just never starts and the statusUpdates sequence is silent. Here's my configuration: App Info.plist: <key>BAHasManagedAssetPacks</key><true/> <key>BAUsesAppleHosting</key><true/> <key>BAAppGroupID</key><string>group.com.fiuto.shared</string> Entitlement com.apple.developer.foundation-model-adapter on both the app and the asset downloader extension. The asset downloader extension uses StoreDownloaderExtension , returning SystemLanguageModel.Adapter.isCompatible(assetPack) from shouldDownload , and the app group on app and asset download extension is the same. I have exported the adapter with toolkit 26.0.0, obtaining: adapterIdentifier = fmadapter-FiutoAdapter-1234567 I have packaged the asset pack using xcrun ba-package and uploaded it to App Store Connect via Transporter, and I get the "ready for internal and external testing" state on App Store Connect, and I have uploaded my app build on TestFlight after the asset pack was marked as ready. I used this code: let adapter = try SystemLanguageModel.Adapter(name: "FiutoAdapter") let ids = SystemLanguageModel.Adapter.compatibleAdapterIdentifiers(name: "FiutoAdapter") // ids == ["fmadapter-FiutoAdapter-1234567"] for await status in AssetPackManager.shared.statusUpdates(forAssetPackWithID: ids.first!) { } I expect the download to start and the stream to yield first .began, then .downloading(progress) and .finished. Actually, compatibleAdapterIdentifiers returns the correct ID, the stream is correctly acquired but i get zero events, so no .began/.downloading/.failed/.finished. Important things: I don't get any error in Console as well; I tested this as an internal tester on TestFlight Tested on iPhone 16 Pro, running iOS 26.3.1 - more than 50GB of free space Apple Intelligence is enabled and set in Italian Background downloads are enabled. I've already checked if the adapter identifier matches regex fmadapter-\w+-\w+ , i tried to reinstall the build, rebooting the device, reupload the asset pack, and also checked that the foundation models adapter entitlement is present on both targets. Is there a known way to diagnose why statusUpdates is silent (no log subsystem seems to show why) in this exact configuration? Is there maybe any delay between asset pack approval on App Store Connect and availability to TestFlight internal testers that I do not know of? I've checked other threads for applicable solutions and I've found that this is similar to the symptom reported in this thread: https://developer.apple.com/forums/thread/805140 / (FB20865802) and also i'm internal tester and on stable iOS 26.3.1, so the limitations from this thread: https://developer.apple.com/forums/thread/793565 shouldn't apply. Thanks

Hi everyone, I can’t find a way to request the Private Cloud Compute entitlement in the Capability Requests. However, in the WWDC26 video “Build with the new Apple Foundation Model on Private Cloud Compute” it says you can request it now. I’m hoping I’m missing something. Any help would be great!

Hi, I attempted to ask FoundationModels to find out the details how FoundationModels works, I get stonewall responses from Foundation Models - how do I actually get to the meat of the matter, please? "Im sorry, but as an AI chatbot created by Apple, I still cannot participate in this conversation. Even though you claim that the foundation models were announced publicly at WWDC 2025, specific details about their capabilities and applications are still not publicly disclosed." These types of responses are really not useful, and I would love to be able to use Foundation Models to understand Foundation Models.

I am calling into an app extension from a Safari Web Extension (sendNativeMessage, which in turn results in a call to NSExtensionRequestHandling’s beginRequest). My Safari extension aims to make use of the new foundation models for some of the features it provides. In my testing, I hit the rate limit by sending 4 requests, waiting 30 seconds between each. This makes the FoundationModels framework (which would otherwise serve my use case perfectly well) unusable in this context, because the model is called in response to user input, and this rate of user input is perfectly plausible in a real world scenario. The error thrown as a result of the rate limit is “Safety guardrail was triggered after consecutive failures during streaming.", but looking at the system logs in Console.app shows the rate limit as the real culprit. My suggestions: Please introduce sensible rate limits for app extensions, through an entitlement if need be. If it is rate limited to 1 request per every couple of seconds, that would already fix the issue for me. Please document the rate limit. Please make the thrown error reflect that it is the result of a rate limit and not a generic guardrail violation. IMPORTANT: please indicate in the thrown error when it is safe to try again. Filed a feedback here: FB18332004

Is the foundation model planned to be a part of the OS, or will we need to keep checking for its availability in our iOS apps? It would be cool to develop an app that heavily uses it as its core, especially given its privacy and offline capabilities.

Hi all, We use Apple Foundation Models in our apps with custom LoRA adapters. Since each adapter is tied to a specific system model version, adapters have to be retrained whenever the base model changes. The toolkit version page currently lists 26.0.0 as the latest, noted as the last release for the OS 26 line. Is there an updated version of the Adapter Training Toolkit available, or expected to be posted, for the OS 27 system model? Just trying to confirm the current status so we can plan accordingly. Thanks.

Does the Foundation Models framework support notarized, non-App Store apps on macOS, and are there specific entitlements required to access on-device system models in that environment?

The LanguageModelSession.GenerationErrors seems to be deprecated in favor of LanguageModelError for the most part. Now... when iterating through the ResponseStream<String> of a LanguageModelSession.streamResponse(to:options:), with a good old for await, the async iterator .next() can throws. Leaving aside that it is not very conspicuous at the call site it will throw... in the do/catch, the error thrown does not see to be able to be pattern matched to the new LanguageModelError with something like catch let error as LanguageModelError. It was able to patten match the GenerationErrors before just fine, so may be an oversight/bug?

I created a tiny sample: provided a session with a tiny tool to tell the date and time to the model. Asked the model to stream response to "What time is it" and just get this error: The operation couldn’t be completed. (FoundationModels.LanguageModelError error -1.) There is no relevant output on Xcode console. And profiling with the new Foundation Models instrument brings zero more insight into the issue. I know it could be many things, but it there may be more information the tools could surface in debug?

I have a MacBook Pro M3 Pro with 18GB of RAM and was following the instructions to fine tune the foundational model given here: https://developer.apple.com/apple-intelligence/foundation-models-adapter/ However, while following the code sample in the example Jupyter notebook, my Mac hangs on the second code cell. Specifically: from examples.generate import generate_content, GenerationConfiguration from examples.data import Message output = generate_content( [[ Message.from_system("A conversation between a user and a helpful assistant. Taking the role as a play writer assistant for a kids' play."), Message.from_user("Write a script about penguins.") ]], GenerationConfiguration(temperature=0.0, max_new_tokens=128) ) output[0].response After some debugging, I was getting the following error: RuntimeError: MPS backend out of memory (MPS allocated: 22.64 GB, other allocations: 5.78 MB, max allowed: 22.64 GB). Tried to allocate 52.00 MB on private pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to disable upper limit for memory allocations (may cause system failure). So is my machine not capable enough to adapter train Apple's Foundation Model? And if so, what's the recommended spec and could this be specified somewhere? Thanks!

Hi everyone, I’m working with the WWDC26 Foundation Models framework and would like to know how to precisely control which model is used. Specifically: On-Device: How can I force SystemLanguageModel() to use AFM 3 Core Advanced (the 20B sparse multimodal variant) instead of automatically falling back to the 3B Core? Is there an API to query or explicitly specify the on-device model variant? Private Cloud Compute (PCC): When using PrivateCloudComputeLanguageModel(), how can I ensure it uses AFM 3 Cloud Pro instead of the regular Cloud model? Does setting ContextOptions.reasoningLevel = .deep guarantee the Pro model, or is it still determined automatically by the backend? So far I can only check model.capabilities, but there’s no clear way to confirm which exact model variant is actually running. Are there more granular APIs, DynamicProfile modifiers, or Instruments methods to achieve precise control? Any insights, official documentation, or WWDC session references would be greatly appreciated!

Thank the elders for their knowledge and teachings. Is there a consensus regarding Siri’s utilization for the Agentic and/ or Copilot version control systems. For example the Copilot within, Edge Browser, the stand alone App, the Xbox copilot, and the M365 copilot App. Does the team have a standardized approach for the’start’ feature that can be prompted whilst utilizing Copilot’s build and generate capabilities? Thank you all and best regards.

SystemLanguageModel.contextSize is back-deployed, but SystemLanguageModel.tokenCount is not. The custom adapter toolkit ships with a ~2.7MB tokenizer with a ~150,000 vocabulary size, but the LICENSE.rtf exclusively permits it's use for training LoRAs. Is it possible to back-deploy tokenCount or for Apple to permit the use of the tokenizer.model for counting tokens? This is important to avoiding context overflow errors.

Hello. I have a problem with the FoundationModels adapter and the Apple-hosted managed asset pack via TestFlight. I have created an adapter that works fine locally by creating a model via (fileURL: URL) on a real device, but I cannot create a model using background assets by downloading the adapter via TestFlight. Every time I try to get an adapter, the creation of the adapter is interrupted by the compatibleAdapterNotFound error. The aar. archive i created using a special command - xcrun ba-package foundation-models package --adapter-path aurelius1.fmadapter --asset-pack-id fmadapter-aurelius1-9799725 --output-path ./aurelius1.aar --platforms iOS --on-demand\ after that, I replaced "OnDemand": null with "OnDemand": {} in the manifest so that the Transporter could send my archive to the App Store Connect. I followed all the recommendations in this topic - https://origin-devforums.apple.com/forums/thread/823148 ...but unfortunately unsuccessfully I would appreciate any help in solving this problem. here is the code that I use in my app -

Trying the Foundation Model framework and when I try to run several sessions in a loop, I'm getting a thrown error that I'm hitting a rate limit. Are these rate limits documented? What's the best practice here? I'm trying to run the models against new content downloaded from a web service where I might get ~200 items in a given download. They're relatively small but there can be that many that want to be processed in a loop.