Add macOS menu bar app with chat and settings

- Restructure project into three targets: - AppleIntelligenceCore: Shared gRPC service code - AppleIntelligenceServer: CLI server - AppleIntelligenceApp: Menu bar app - Menu bar app features: - Toggle server on/off from menu bar - Chat window with streaming AI responses - Settings: host, port, API key, auto-start, launch at login - Proper window focus handling for menu bar apps - Add build scripts for distribution: - build-app.sh: Creates signed .app bundle - create-dmg.sh: Creates distributable DMG 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-30 04:31:31 -05:00
parent 5279565797
commit e0bf17da3d
17 changed files with 855 additions and 21 deletions
@@ -0,0 +1,97 @@
+import Foundation
+import FoundationModels
+
+/// Errors that can occur when using Apple Intelligence
+public enum AppleIntelligenceError: Error, CustomStringConvertible, Sendable {
+    case modelNotAvailable
+    case generationFailed(String)
+    case sessionCreationFailed
+
+    public var description: String {
+        switch self {
+        case .modelNotAvailable:
+            return "Apple Intelligence model is not available on this device"
+        case .generationFailed(let reason):
+            return "Generation failed: \(reason)"
+        case .sessionCreationFailed:
+            return "Failed to create language model session"
+        }
+    }
+}
+
+/// Service wrapper for Apple Intelligence Foundation Models
+public actor AppleIntelligenceService {
+    /// The language model session
+    private var session: LanguageModelSession?
+
+    /// Whether the model is available
+    public private(set) var isAvailable: Bool = false
+
+    /// Initialize and check model availability
+    public init() async {
+        await checkAvailability()
+    }
+
+    /// Check if Apple Intelligence is available
+    private func checkAvailability() async {
+        let availability = SystemLanguageModel.default.availability
+        switch availability {
+        case .available:
+            isAvailable = true
+            session = LanguageModelSession()
+        case .unavailable:
+            isAvailable = false
+        @unknown default:
+            isAvailable = false
+        }
+    }
+
+    /// Get the current model status as a string
+    public func getModelStatus() -> String {
+        let availability = SystemLanguageModel.default.availability
+        switch availability {
+        case .available:
+            return "available"
+        case .unavailable(let reason):
+            return "unavailable: \(reason)"
+        @unknown default:
+            return "unknown"
+        }
+    }
+
+    /// Generate a completion for the given prompt (non-streaming)
+    public func complete(prompt: String, temperature: Float?, maxTokens: Int?) async throws -> String {
+        guard isAvailable, let session = session else {
+            throw AppleIntelligenceError.modelNotAvailable
+        }
+
+        let response = try await session.respond(to: prompt)
+        return response.content
+    }
+
+    /// Generate a streaming completion for the given prompt
+    public func streamComplete(
+        prompt: String,
+        temperature: Float?,
+        maxTokens: Int?
+    ) -> AsyncThrowingStream<String, Error> {
+        AsyncThrowingStream { continuation in
+            Task {
+                guard self.isAvailable, let session = self.session else {
+                    continuation.finish(throwing: AppleIntelligenceError.modelNotAvailable)
+                    return
+                }
+
+                do {
+                    let stream = session.streamResponse(to: prompt)
+                    for try await partialResponse in stream {
+                        continuation.yield(partialResponse.content)
+                    }
+                    continuation.finish()
+                } catch {
+                    continuation.finish(throwing: AppleIntelligenceError.generationFailed(error.localizedDescription))
+                }
+            }
+        }
+    }
+}