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<h1 align="center">fm-rs</h1>
<h4><p align="center">Rust bindings for Apple’s <code>FoundationModels.framework</code></p></h4>
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<br>
## Requirements
- macOS 26+ or iOS/iPadOS 26+
- Apple Intelligence enabled
- Apple Silicon device
- Rust 1.85+ (edition 2024)
## Installation
```toml
[dependencies]
fm-rs = "0.1"
```
Enable the derive macro if you want compile-time schema generation:
```toml
[dependencies]
fm-rs = { version = "0.1", features = ["derive"] }
```
## Quick Start
```rust
use fm_rs::{GenerationOptions, Session, SystemLanguageModel};
fn main() -> Result<(), fm_rs::Error> {
let model = SystemLanguageModel::new()?;
model.ensure_available()?;
let session = Session::with_instructions(&model, "You are a helpful assistant.")?;
let options = GenerationOptions::builder()
.temperature(0.7)
.max_response_tokens(500)
.build();
let response = session.respond("What is the capital of France?", &options)?;
println!("{}", response.content());
Ok(())
}
```
## Key Features
- Blocking and streaming responses
- Tool calling with JSON argument schemas
- Structured JSON output (explicit schemas or derive macro)
- Transcript persistence and restoration
- Context usage estimates and compaction helpers
- Prewarming and timeout-aware respond APIs
## Runtime Notes (macOS)
- FFI calls are synchronous. Use `spawn_blocking` in async runtimes.
- If you see `libswift_Concurrency.dylib` load errors, add Swift rpaths in your binary crate’s `build.rs`.
```rust
use std::process::Command;
fn main() {
println!("cargo:rustc-link-arg=-Wl,-rpath,/usr/lib/swift");
if let Ok(output) = Command::new("xcrun")
.args(["--toolchain", "default", "--find", "swift"])
.output()
{
let swift_path = String::from_utf8_lossy(&output.stdout).trim().to_string();
if let Some(toolchain) = std::path::Path::new(&swift_path).parent().and_then(|p| p.parent()) {
let lib_path = toolchain.join("lib/swift/macosx");
if lib_path.exists() {
println!("cargo:rustc-link-arg=-Wl,-rpath,{}", lib_path.display());
}
}
}
}
```
## Prompting Guidance
For best results on-device:
- Keep prompts focused and explicit about length and style.
- Prefer instructions for stable behavior across prompts.
- Use small examples when you need consistent formatting.
- Break complex tasks into smaller steps.
- Use structured output when you need reliable parsing.
See Apple’s guidance for more detail:
- https://developer.apple.com/documentation/foundationmodels/prompting-an-on-device-foundation-model
- https://developer.apple.com/videos/play/wwdc2024/10150/
- https://developer.apple.com/videos/play/wwdc2024/10163/
## Examples
```bash
cargo run --example basic
cargo run --example streaming
cargo run --example tools
cargo run --example structured
cargo run --example context_compaction
```
## Documentation
See API details and advanced usage in the crate docs (docs.rs).
## License
MIT License - see [LICENSE](LICENSE) for details.