Crate foundation_models 

foundation-models

Safe, idiomatic Rust bindings for Apple’s FoundationModels framework — the on-device large language model that ships with Apple Intelligence on macOS 26+.

Features

• Sessions and multi-turn chat — create, restore, inspect, and persist LanguageModelSessions
• Streaming — text deltas and structured-generation snapshots
• Tool calling — register Rust callbacks as FoundationModels Tools
• Structured generation — JSON-schema validation, dynamic schemas, and Rust Generable traits
• System model configuration — availability, use cases, guardrails, locales, and adapter handles
• Transcript support — typed transcript inspection plus raw JSON round-tripping
• Feedback attachments — full LanguageModelFeedback issue/sentiment support

Requirements

• macOS 26.0 or newer (build host and runtime)
• Xcode 26 SDK
• Apple Intelligence enabled in System Settings
• Apple Silicon

Installation

[dependencies]
foundation-models = { version = "0.6.0", features = ["macos_26_0"] }

Quick start

use foundation_models::prelude::*;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    if !SystemLanguageModel::is_available() {
        eprintln!("Unavailable: {:?}", SystemLanguageModel::availability());
        return Ok(());
    }

    let session = LanguageModelSession::with_instructions(
        "Answer in a single concise sentence.",
    );
    let reply = session.respond("Why is the sky blue?")?;
    println!("{reply}");
    Ok(())
}

Tool calling

use foundation_models::prelude::*;
use serde::Deserialize;

#[derive(Deserialize)]
struct EchoArgs {
    message: String,
}

let schema = GenerationSchema::from_dynamic(
    DynamicGenerationSchema::object("EchoArgs").with_property(
        "message",
        DynamicGenerationProperty::new(DynamicGenerationSchema::string()),
    ),
    [],
)?;

let tool = Tool::json("echo", "Echo the provided message.", schema, |args: EchoArgs| {
    Ok(args.message)
});

let session = LanguageModelSession::builder()
    .instructions("Use tools when explicitly asked.")?
    .tool(tool)
    .build()?;

let reply = session.respond_prompt(
    "Use the echo tool exactly once with the message 'hello from Rust'.",
)?;
println!("{reply}");

Structured generation

use foundation_models::prelude::*;

let schema = GenerationSchema::from_dynamic(
    DynamicGenerationSchema::object("Movie")
        .with_property(
            "title",
            DynamicGenerationProperty::new(DynamicGenerationSchema::string()),
        )
        .with_property(
            "year",
            DynamicGenerationProperty::new(DynamicGenerationSchema::integer()),
        ),
    [],
)?;

let session = LanguageModelSession::new();
let response = session.respond_generated(
    "Return JSON for one classic science-fiction movie.",
    &schema,
    true,
)?;
println!("{}", response.json_string()?);

Smoke example

cargo run --example 06_smoke --features macos_26_0

Notes

• Swift-only compile-time macros such as @Generable and @Guide are exposed as Rust runtime traits/builders (Generable, GenerationGuide, DynamicGenerationSchema).
• SystemLanguageModel.Adapter::isCompatible(_ assetPack:) is not wrapped because it depends on BackgroundAssets.AssetPack, which this crate does not expose.
• GenerationID remains opaque in the Apple SDK; generated-content IDs are surfaced as best-effort string metadata.

License

Licensed under either of Apache-2.0 or MIT at your option.

---

API Documentation

Safe, idiomatic Rust bindings for Apple’s FoundationModels framework — the on-device large language model that ships with Apple Intelligence.

Generate text, hold multi-turn conversations, and stream tokens from the system language model on macOS 26.0+.

Quick start

use foundation_models::{LanguageModelSession, SystemLanguageModel};

if !SystemLanguageModel::is_available() {
    eprintln!("Model unavailable: {:?}", SystemLanguageModel::availability());
    return Ok(());
}

let session = LanguageModelSession::new();
let reply = session.respond("Name three Norse gods.")?;
println!("{reply}");

Streaming

use foundation_models::{LanguageModelSession, StreamEvent};
use std::io::Write;

let session = LanguageModelSession::new();
session.stream("Tell me a haiku about Rust.", |event| match event {
    StreamEvent::Chunk(s) => {
        print!("{s}");
        std::io::stdout().flush().ok();
    }
    StreamEvent::Done => println!(),
    StreamEvent::Error(e) => eprintln!("\nstream error: {e}"),
    _ => {}
})?;

Re-exports

pub use content::FromGeneratedContent;

pub use content::GeneratedContent;

pub use content::ToGeneratedContent;

pub use error::FMError;

pub use error::Unavailability;

pub use generation::GenerationOptions;

pub use generation::SamplingMode;

pub use model::Adapter;

pub use model::Availability;

pub use model::ConfiguredSystemLanguageModel;

pub use model::Guardrails;

pub use model::SystemLanguageModel;

pub use model::UseCase;

pub use prompt::Instructions;

pub use prompt::Prompt;

pub use prompt::ResponseFormat;

pub use prompt::Segment;

pub use prompt::StructuredSegment;

pub use prompt::TextSegment;

pub use prompt::ToInstructions;

pub use prompt::ToPrompt;

pub use prompt::ToolDefinition;

pub use schema::DynamicGenerationProperty;

pub use schema::DynamicGenerationSchema;

pub use schema::Generable;

pub use schema::GenerationGuide;

pub use schema::GenerationSchema;

pub use session::FeedbackAttachmentRequest;

pub use session::FeedbackIssue;

pub use session::FeedbackIssueCategory;

pub use session::FeedbackSentiment;

pub use session::LanguageModelSession;

pub use session::SessionBuilder;

pub use session::SessionResponse;

pub use session::StreamEvent;

pub use session::StructuredStreamEvent;

pub use session::StructuredStreamSnapshot;

pub use tool::Tool;

pub use tool::ToolOutput;

pub use tool::ToolSpec;

pub use transcript::Entry as TranscriptEntry;

pub use transcript::ToolCall;

pub use transcript::ToolCalls;

pub use transcript::ToolOutput as TranscriptToolOutput;

pub use transcript::Transcript;

pub use transcript::TranscriptInstructions;

pub use transcript::TranscriptPrompt;

pub use transcript::TranscriptResponse;

Modules

content

GeneratedContent — structured model output represented as JSON.

error

Errors produced by the FoundationModels bridge.

ffi

Raw FFI declarations matching the Swift @_cdecl exports in swift-bridge/Sources/FoundationModelsBridge.

generation

Knobs that control how the model produces text.

model

SystemLanguageModel — entry point for querying device capability and building configured model handles.

prelude

Common imports for users of this crate.

prompt

Prompt and instructions builders.

schema

JSON-schema and dynamic schema builders for structured generation.

session

LanguageModelSession — a stateful conversation with the on-device model.

tool

Tool calling support.

transcript

Transcript inspection and restoration.