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The bundled Apple Foundation Models plugin runs Apple’s on-device model through the native Foundation Models framework. It is a free local setup and utility model. Setup saves it in utilityModel and preserves your regular agent model. When no primary model is configured, it can power the OpenClaw setup assistant. Choose a separate primary model before starting regular agent chat.

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Requirements

These requirements apply to the Mac running the Gateway. A Mac app connected to a Linux or Windows Gateway does not provide this local inference route.
  • A Mac with Apple silicon running macOS 27 or later.
  • Apple Intelligence enabled in System Settings, with its model downloaded.
  • Installed Apple Swift developer tools with the macOS 27 SDK.
  • An available system model with at least 8,192 context tokens.
The plugin queries the actual model name, availability, and context window. AFM 3 Core Advanced has been tested with an 8,192-token window. Older on-device variants with a 4K window do not qualify for this setup option; having a Mac does not imply that the larger variant is available.

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Set up

Run:
Allow local discovery, then choose Apple Foundation Models when it appears. Setup offers this option only after a background probe confirms that the model is available and has at least 8,192 context tokens. It stays hidden while eligibility is unknown, when prerequisites are missing, or when the model has a smaller window. On first discovery, OpenClaw compiles the bundled Swift helper in a temporary directory with your installed Apple tools, reads the native model’s availability and context size, and removes the temporary helper. Compilation and probing run in child processes so they do not block the Gateway’s event loop. Discovery does not install an inference helper or change your configuration. It is bounded and cancellable; a failed or timed-out check does not offer the model. Selecting the detected model builds its persistent helper and rechecks eligibility before activation. OpenClaw does not install developer tools, download a third-party executable, or accept license terms for you. If the tools are missing, install Xcode or the appropriate Apple Command Line Tools and retry. The tools must include a macOS 27 SDK. OpenClaw tests the selected utility route before saving it. The model reference is apple-fm/system; setup records the detected model name and context limit. No API key or provider auth profile is created. The native route uses the OpenClaw runtime even if your primary model uses a different agent runtime. On a fresh installation, onboarding opens the OpenClaw setup assistant. It can inspect configuration and help with channels and other setup. The interface keeps regular agent setup incomplete until you choose and verify a primary model in Model Setup or by rerunning openclaw onboard. Afterward, Apple remains the utility model; the system assistant follows the primary model normally. On an existing installation, choosing Apple preserves your primary model, fallbacks, and credentials. If an older config relied on an implicit primary, setup records that existing route before adding the Apple provider. Doctor and normal config writes apply the same utility-model migration. If that migration is still pending, setup asks you to run openclaw doctor --fix or choose an explicit primary before connecting Apple. Explicit utility-model configuration can also be set per agent with agents.entries.<id>.utilityModel. Later discovery reuses the prepared helper and checks the current model again. To select Apple explicitly from a script:

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Runtime behavior

Model inference runs on the Gateway’s Mac; proposed tool calls go through OpenClaw’s normal execution and approval flow. The helper is started for model requests; no HTTP server, launch agent, or separate model daemon is installed. OpenClaw retains ownership of tool execution and its normal approval checks. Utility calls power short internal tasks such as session titles and progress narration through OpenClaw’s existing utility-model routing. Apple is not selected as the ordinary agent’s primary model by onboarding. The model shares its context window across instructions, tool definitions, conversation, tool results, and output. The provider defaults to a maximum of 1,024 output tokens per reply. A large workspace or a full agent prompt can exceed the window even before useful conversation history accumulates. Keep setup questions focused; the small on-device model can be less reliable than a larger model on complex requests. Native generation supports closed objects, arrays, primitive types, enums, nullable values, and supported schema unions. String length and regex constraints remain enforced by OpenClaw after generation because Apple does not provide usable native guides for them. Structured responses are checked against the caller’s original schema before publication. Unsupported structural schemas fail explicitly.

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Troubleshooting

If Apple Intelligence is unavailable, enable it in System Settings and wait for the model download to finish. Retry setup after changing its availability. If the reported context window is below 8,192 tokens, choose another local or cloud model. OpenClaw does not inflate the model’s advertised limit. If the native helper is missing after an update, use Recheck & repair on the configured utility card in Model Setup, or rerun onboarding and select the detected Apple model. This compiles the helper matching the installed plugin and verifies the utility route again. Ordinary inference never compiles code or installs dependencies. See Model providers for other inference options.