Apple's Image Playground primarily performs image generation on-device, but can use secure Private Cloud Compute for more complex requests that require larger models. Private Cloud Compute (PCC) For more complex tasks that require greater computational power than the device can provide, Image Playground leverages Apple's Private Cloud Compute. This system extends the privacy and security of the device to the cloud: Secure Environment: PCC runs on Apple silicon servers and uses a secure enclave to protect data, ensuring requests are processed in a verified, secure environment. No Data Storage: Data is never stored or made accessible to Apple when using PCC; it is used only to fulfill the specific request. Independent Verification: Independent experts are able to inspect the code running on these servers to verify Apple's privacy promises.

Y'all, can we please get some way of increasing the font size in the Intelligence side pane? That tiny 10pt font (I'm guessing? Could be 8? I dunno) is KILLING my eyes. I don't want to increase the font size of EVERYTHING on my mac, just to increase the size of this one window that I need to read very closely.

Is there an API that allows iOS app developers to leverage Apple Foundation Models to authorize a user's Apple Intelligence extension, chatGPT login account? I'm trying to provide a real-time question feature for chatGPT, a logged-in extension account, while leveraging Apple Intelligence's LLM. Is there an API that also affects the extension login account?

I have placed a .contextignore file next to my .xcworkspace file, it's contents look like this: CHANGELOG.md *.generated.swift *.mockingbird.swift However I'm still getting files that match these globs in my project context requests when using Coding Intelligence with a 3rd party provider (Gemini) What am I doing wrong?

Hi, I'm interested in trying out Xcode Assist to help with things like complicated refactors or writing tests cases. The ChatGPT and Claude options both share your code with third parties, which is not acceptable for my use case. Has anyone used a fully local model for Xcode Assist? I see that you can select one in the Apple Intelligence section of Xcode's Preferences screen, but don't really know where to start. Are there local models that work well with Xcode Assist and that truly keep your source code private?

Hi everyone, I'm developing an iOS app using Foundation Models and I've hit a critical limitation that I believe affects many developers and millions of users. The Issue Foundation Models requires the device system language to be one of the supported languages. If a user has their device set to an unsupported language (Catalan, Dutch, Swedish, Polish, Danish, Norwegian, Finnish, Czech, Hungarian, Greek, Romanian, and many others), SystemLanguageModel.isSupported returns false and the framework is completely unavailable. Why This Is Problematic Scenario: A Catalan user has their iPhone in Catalan (native language). They want to use an AI chat app in Spanish or English (languages they speak fluently). Current situation: ❌ Foundation Models: Completely unavailable ✅ OpenAI GPT-4: Works perfectly ✅ Anthropic Claude: Works perfectly ✅ Any cloud-based AI: Works perfectly The user must choose between: Keep device in Catalan → Cannot use Foundation Models at all Change entire device to Spanish → Can use Foundation Models but terrible UX Impact This affects: Millions of users in regions where unsupported languages are official Multilingual users who prefer their device in their native language but can comfortably interact with AI in English/Spanish Developers who cannot deploy Foundation Models-based apps in these markets Privacy-conscious users who are ironically forced to use cloud AI instead of on-device AI What We Need One of these solutions would solve the problem: Option 1: Per-app language override (preferred) // Proposed API let session = try await LanguageModelSession(preferredLanguage: "es-ES") Option 2: Faster rollout of additional languages (particularly EU languages) Option 3: Allow fallback to user-selected supported language when system language is unsupported Technical Details Current behavior: // Device in Catalan let isAvailable = SystemLanguageModel.isSupported // Returns false // No way to override or specify alternative language Why This Matters Apple Intelligence and Foundation Models are amazing for privacy and performance. But this language restriction makes the most privacy-focused AI solution less accessible than cloud alternatives. This seems contrary to Apple's values of accessibility and user choice. Questions for the Community Has anyone else encountered this limitation? Are there any workarounds I'm missing? Has anyone successfully filed feedback about this?(Please share FB number so we can reference it) Are there any sessions or labs where this has been discussed? Thanks for reading. I'd love to hear if others are facing this and how you're handling it.

I am writing to inquire about content exclusion capabilities within Apple Intelligence, particularly regarding the use of configuration files such as .aiignore or .aiexclude—similar to what exists in other AI-assisted coding tools. These mechanisms are highly valuable in managing what content AI systems can access, especially in environments that involve sensitive code or proprietary frameworks. I would appreciate it if anyone could clarify whether Apple Intelligence currently supports any exclusion configuration for AI-assisted features. If so, could you kindly provide documentation or guidance on how developers can implement these controls? If not, Is there any plan to include such feature in future updates?

I'm working in a constrained environment where sending source is not an option if any part of it is stored in outside systems. However, I also have some projects which don't have these constraints which led me to these questions. Thanks! Can I disable intelligence per project or workspace? Is any project data sent if intelligence is enabled but I'm not typing any requests in the coding assistant? Is source/metadata persisted in any way when using the ChatGPT mode without an account?

Hello, I have created this basic swift program: let session = LanguageModelSession( model: .default, instructions: "bla bla bla.") I want to understand what I can put in model parameter (instead of .default). How can I choose between on-device local model (.default I suppose) and apple private cloud model (or any other ?) Thanks

Hey dear developers! This post should be available for the future Siri updates and improvements but also for wishes in this forum so that everyone can share their opinion and idea please stay friendly. have fun! I had already thought about developing a demo app to demonstrate my idea for a better Siri. My change of many: Wish Update: Siri's language recognition capabilities have been significantly enhanced. Instead of manually setting the language, Siri can now automatically recognize the language you intend to use, making language switching much more efficient. Simply speak the language you want to communicate in, and Siri will automatically recognize it and respond accordingly. Whether you speak English, German, or Japanese, Siri will respond in the language you choose.

Hello, I was trying to test out Foundation Model however it says Model assets are unavailable. I got my MacBook M1 back in China when i was living there. is this due to region lock?

Hello I’m experimenting with Apple’s on‑device language model via the FoundationModels framework in Xcode (using LanguageModelSession in my code). I’d like to confirm a few points: • Is the language model provided by FoundationModels designed and trained by Apple? Or is it based on an open‑source model? • Is this on‑device model available on iOS (and iPadOS), or is it limited to macOS? • When I write code in Xcode, is code completion powered by this same local model? If so, why isn’t the same model available in the left‑hand chat sidebar in Xcode (so that I can use it there instead of relying on ChatGPT)? • Can I grant this local model access to my personal data (photos, contacts, SMS, emails) so it can answer questions based on that information? If yes, what APIs, permission prompts, and privacy constraints apply? Thanks

Hello, I am studying macOS26 Apple Intelligence features. I have created a basic swift program with Xcode. This program is sending prompts to FoundationModels.LanguageModelSession. It works fine but this model is not trained for programming or code completion. Xcode has an AI code completion feature. It is called "Predictive Code completion model". So, there are multiple on-device models on macOS26 ? Are there others ? Is there a way for me to send prompts to this "Predictive Code completion model" from my program ? Thanks

I didn't check this out specifically on earlier betas, but AI is allowed to create new .swift files, yes? I'm only seeing proposals to create files (as opposed to code which it can change automatically), and the CREATE FILE button to the right of any proposed file creation does nothing. Next I'll mention running local models, but file creation does not seem to happen for neither ChatGPT nor any local model. Also I'm experimenting with LM Studio and it is reporting my client is timing out. So I guess Xcode is not waiting long enough for a response? The local models are slow, yes. But is there a setting for the AI timeout value? I told the LLM "Every 1 minute send me an update so I know you are still working so my client does not time out" which seems to have no visible effect, it hasn't timed out yet, but I don't visibly see that message.

I would like to write a macOS application that uses on-device AI (FoundationModels). I don’t understand how to, practically, give it access to my documents, photos, or contacts and be able to ask it a question like: “Find the document that talks about this topic.” Do I need to manually retrieve the data and provide it in the form of a prompt? Or is FoundationModels capable of accessing it on its own? Thanks

After updating to the newest beta on my iPhone 16 I'm stuck on this screen after accepting the terms: No Internet Connection Setup and activation of Apple Intelligence is unavailable when your device is offline. Connect to the internet and try again. I tried several different networks and 5G but no luck..

I found what might be a bug with enabling Apple Intelligence when switching languages. When my iPhone's language is set to Catalan, the Apple Intelligence is disabled because it is not available for that language. Switching to Spanish doesn't activate it, and it still shows the same message of being unavailable, this time saying not available in Spanish (which is not true). However, it is enabled when the phone is rebooted. Once at this point, the bug becomes even weirder. Having the iPhone language set to Spanish and with Apple Intelligence on, I switch the language to Catalan, and the feature remains enabled. After I ask a query in Catalan, it surprisingly understands it and works, but then it gets disabled. Apart from that, as user feedback, I would love to activate Apple Intelligence in an available language other than my device's language. That's how I always used Siri (iPhone in Catalan, Siri in Spanish). Thanks!

I am using the iPhone 17 Pro simulator that was included with Xcode 26.0.1. My Mac is running macOS 26. When I started the simulator for the first time I got the "Ready for Apple Intelligence" notification but when I access Image Playground in my app it says it is not available on this iPhone. Any solution to get it working on the simulator?

Installed xCode 26 RC. other Components: Predictive Code Completion Model is installed. Go to Settings and Intelligence should be under Apple Accounts. However, it is not. How do I get Intelligence turned on?

I have Xcode 26 on one Mac, but LM Studio running on another. LM Studio does not have an api key so I have provided "dummy-api-key" but whenever I try to connect, it gives the error "Models could not be fetched with the provided account details" I have the IP and port (1234) of LM Study The server in LM Studio is running. Has anyone got this to work? And if so, what details did you enter?