Update package

.github/workflows/swift.yml

@@ -29,7 +29,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        xcode: ['15.2']
+        xcode: ['latest']
         macos: ['macos-13']
         scheme: ['AI']
         command: ['build']

Sources/OpenAI/Intramodular/API/OpenAI.APISpecification.ResponseBodies.swift

@@ -28,6 +28,8 @@ extension OpenAI.APISpecification.ResponseBodies {
             self.usage = try container.decode(forKey: .usage)
 
             try super.init(from: decoder)
+
+            self.data = self.data.sorted(by: \.index)
         }
 
         public override func encode(to encoder: Encoder) throws {

Sources/OpenAI/Intramodular/Models/OpenAI.List.swift

@@ -14,7 +14,8 @@ extension OpenAI {
             case lastID = "lastId"
         }
 
-        public let data: [T]
+        public package(set) var data: [T]
+
         public let hasMore: Bool?
         public let firstID: String?
         public let lastID: String?

Sources/OpenAI/Intramodular/OpenAI+LLMRequestHandling.swift

@@ -295,39 +295,6 @@ extension OpenAI.APIClient {
     }
 }
 
-extension OpenAI.APIClient: TextEmbeddingsRequestHandling {
-    public func fulfill(
-        _ request: TextEmbeddingsRequest
-    ) async throws -> TextEmbeddings {
-        guard !request.input.isEmpty else {
-            return TextEmbeddings(
-                model: .init(from: OpenAI.Model.Embedding.ada),
-                data: []
-            )
-        }
-
-        let model = request.model ?? _MLModelIdentifier(from: OpenAI.Model.Embedding.ada)
-        let embeddingModel = try OpenAI.Model.Embedding(rawValue: model.name).unwrap()
-
-        let embeddings = try await createEmbeddings(
-            model: embeddingModel,
-            for: request.input
-        ).data
-
-        try _tryAssert(request.input.count == embeddings.count)
-
-        return TextEmbeddings(
-            model: .init(from: OpenAI.Model.Embedding.ada),
-            data: request.input.zip(embeddings).map {
-                TextEmbeddings.Element(
-                    text: $0,
-                    embedding: $1.embedding
-                )
-            }
-        )
-    }
-}
-
 // MARK: - Auxiliary
 
 extension _MLModelIdentifier {

Sources/OpenAI/Intramodular/OpenAI.APIClient+TextEmbeddingsRequestHandling.swift

@@ -0,0 +1,39 @@
+//
+// Copyright (c) Vatsal Manot
+//
+
+import CoreMI
+import CorePersistence
+
+extension OpenAI.APIClient: TextEmbeddingsRequestHandling {
+    public func fulfill(
+        _ request: TextEmbeddingsRequest
+    ) async throws -> TextEmbeddings {
+        guard !request.input.isEmpty else {
+            return TextEmbeddings(
+                model: .init(from: OpenAI.Model.Embedding.ada),
+                data: []
+            )
+        }
+
+        let model = request.model ?? _MLModelIdentifier(from: OpenAI.Model.Embedding.ada)
+        let embeddingModel = try OpenAI.Model.Embedding(rawValue: model.name).unwrap()
+
+        let embeddings = try await createEmbeddings(
+            model: embeddingModel,
+            for: request.input
+        ).data
+
+        try _tryAssert(request.input.count == embeddings.count)
+
+        return TextEmbeddings(
+            model: .init(from: OpenAI.Model.Embedding.ada),
+            data: request.input.zip(embeddings).map {
+                TextEmbeddings.Element(
+                    text: $0,
+                    embedding: $1.embedding
+                )
+            }
+        )
+    }
+}