Update CI workflow to build on macOS with all traits enabled

.github/workflows/ci.yml

@@ -42,10 +42,10 @@ jobs:
             ${{ runner.os }}-swift-${{ matrix.swift }}-spm-
 
       - name: Build
-        run: swift build -v
+        run: swift build --traits MLX,Llama,CoreML
 
       - name: Test
-        run: swift test -v
+        run: swift test
 
   test-linux:
     name: Swift ${{ matrix.swift-version }} on Linux
@@ -66,7 +66,7 @@ jobs:
           toolchain: ${{ matrix.swift-version }}
 
       - name: Build
-        run: swift build -v
+        run: swift build
 
       - name: Test
-        run: swift test -v
+        run: swift test

Sources/AnyLanguageModel/Models/CoreMLLanguageModel.swift

@@ -214,15 +214,7 @@
         // MARK: - Image Validation
 
         private func validateNoImageSegments(in session: LanguageModelSession) throws {
-            // Check for image segments in instructions
-            if let instructions = session.instructions {
-                for segment in instructions.segments {
-                    if case .image = segment {
-                        throw CoreMLLanguageModelError.unsupportedFeature
-                    }
-                }
-            }
-
+            // Note: Instructions is a plain text type without segments, so no image check needed there.
             // Check for image segments in the most recent prompt
             for entry in session.transcript.reversed() {
                 if case .prompt(let p) = entry {

Sources/AnyLanguageModel/Models/MLXLanguageModel.swift

@@ -175,7 +175,8 @@ import Foundation
             let hub = self.hub
             let directory = self.directory
 
-            let stream: AsyncThrowingStream<LanguageModelSession.ResponseStream<Content>.Snapshot, any Error> = .init { continuation in
+            let stream: AsyncThrowingStream<LanguageModelSession.ResponseStream<Content>.Snapshot, any Error> = .init {
+                continuation in
                 let task = Task { @Sendable in
                     do {
                         let context: ModelContext
@@ -213,7 +214,8 @@ import Foundation
                             case .chunk(let text):
                                 accumulatedText += text
                                 let raw = GeneratedContent(accumulatedText)
-                                let content: Content.PartiallyGenerated = (accumulatedText as! Content).asPartiallyGenerated()
+                                let content: Content.PartiallyGenerated = (accumulatedText as! Content)
+                                    .asPartiallyGenerated()
                                 continuation.yield(.init(content: content, rawContent: raw))
                             case .info, .toolCall:
                                 break
@@ -357,28 +359,24 @@ import Foundation
     // MARK: - Tool Conversion
 
     private func convertToolToMLXSpec(_ tool: any Tool) -> ToolSpec {
-        // Convert AnyLanguageModel's GenerationSchema to JSON-compatible dictionary
-        let parametersDict: [String: Any]
+        // Convert AnyLanguageModel's GenerationSchema to Sendable dictionary
+        // using MLXLMCommon.JSONValue which is already Sendable
+        let parametersValue: JSONValue
         do {
             let resolvedSchema = tool.parameters.withResolvedRoot() ?? tool.parameters
-            let encoder = JSONEncoder()
-            let data = try encoder.encode(resolvedSchema)
-            if let json = try JSONSerialization.jsonObject(with: data) as? [String: Any] {
-                parametersDict = json
-            } else {
-                parametersDict = ["type": "object", "properties": [:], "required": []]
-            }
+            let data = try JSONEncoder().encode(resolvedSchema)
+            parametersValue = try JSONDecoder().decode(JSONValue.self, from: data)
         } catch {
-            parametersDict = ["type": "object", "properties": [:], "required": []]
+            parametersValue = .object(["type": .string("object"), "properties": .object([:]), "required": .array([])])
         }
 
         return [
             "type": "function",
             "function": [
                 "name": tool.name,
                 "description": tool.description,
-                "parameters": parametersDict,
-            ],
+                "parameters": parametersValue,
+            ] as [String: any Sendable],
         ]
     }