The goal is to bring first-class agent development to Apple platforms, especially for native macOS/iOS apps that want to embed LLM-powered workflows without depending on Python bridges or Node wrappers.
Create agents with Swift functions as tools Add input/output guardrails Set up multi-agent handoffs for complex tasks Stream results in real-time
Here’s a simple example:
```swift let agent = Agent<Void>( name: "WeatherAssistant", instructions: "You are a helpful weather assistant." ).addTool(weatherTool)
let result = try await AgentRunner.run( agent: agent, input: "What's the weather like in San Francisco?", context: () ) print(result.finalOutput) ```
It’s still early days (Swift 6 required), but if you’re building LLM-native tools on Apple platforms, I’d love feedback and collaboration.