swift-format

Author: sebsto

Sources/InvokeModel/Embeddings.swift

@@ -20,7 +20,7 @@ import Foundation
 #endif
 
 /// A type alias representing embeddings as an array of Double values
-/// 
+///
 /// Embeddings are numerical representations of text that capture semantic meaning,
 /// typically used for similarity comparisons, clustering, and other machine learning tasks.
 public typealias Embeddings = [Double]

Sources/Modalities/ConverseModality.swift

@@ -20,7 +20,7 @@ import Foundation
 #endif
 
 /// A protocol defining the interface for models that support conversational interactions
-/// 
+///
 /// Converse modalities enable back-and-forth conversations with AI models,
 /// supporting features like system prompts, tool usage, and multi-modal content.
 public protocol ConverseModality: Modality {
@@ -32,14 +32,14 @@ public protocol ConverseModality: Modality {
     /// Returns the parameters configuration for converse operations
     /// - Returns: ConverseParameters containing model-specific parameter constraints
     func getConverseParameters() -> ConverseParameters
-    
+
     /// Returns the supported features for converse operations
     /// - Returns: Array of ConverseFeature indicating what capabilities are available
     func getConverseFeatures() -> [ConverseFeature]
 }
 
 /// A protocol for models that support both conversational interactions and streaming responses
-/// 
+///
 /// Streaming converse modalities can provide real-time, incremental responses
 /// during conversation, enabling more interactive user experiences.
 public protocol ConverseStreamingModality: ConverseModality, StreamingModality {}

Sources/Modalities/EmbeddingsModality.swift

@@ -20,7 +20,7 @@ import Foundation
 #endif
 
 /// A protocol defining the interface for models that support embeddings generation
-/// 
+///
 /// Embeddings modalities can convert text into numerical vector representations
 /// that capture semantic meaning for use in machine learning tasks.
 public protocol EmbeddingsModality: Modality {

Sources/Models/Amazon/TitanEmbeddings/TitanEmbeddings.swift

@@ -20,7 +20,7 @@ import Foundation
 #endif
 
 /// Implementation of EmbeddingsModality for Amazon Titan embedding models
-/// 
+///
 /// TitanEmbeddings provides text embedding generation capabilities using Amazon's Titan models,
 /// supporting configurable vector dimensions and normalization options.
 struct TitanEmbeddings: EmbeddingsModality {
@@ -49,6 +49,6 @@ struct TitanEmbeddings: EmbeddingsModality {
     }
 
     func getEmbeddingsResponseBody(from data: Data) throws -> ContainsEmbeddings {
-        return try JSONDecoder().decode(TitanEmbeddingsResponseBody.self, from: data)
+        try JSONDecoder().decode(TitanEmbeddingsResponseBody.self, from: data)
     }
 }