Updated error parsing for more readable information.

Example/OpenAIKit/ViewController.swift

@@ -44,14 +44,19 @@ extension ViewController {
 		textView.text = " "
 
 		let prompt = textField.text ?? ""
+		/// You can put messages you send and recieved before for maka chat uderstand your context.
+		/// Be careful! There is limit of total tokens count. The total limit of tokens is 4096.
+		/// So if you requests maxTokens = 2048, total sum of tokens in newMessage + previousMessages must be 2048.
+		/// Number of tokens you can recieve from response model from field usage.
+		let previousMessages: [AIMessage] = []
 
-		openAI.sendCompletion(prompt: prompt, model: .gptV3_5(.davinciText003), maxTokens: 2048) { [weak self] result in
+		openAI?.sendChatCompletion(newMessage: AIMessage(role: .user, content: prompt), previousMessages: previousMessages, model: .gptV3_5(.gptTurbo), maxTokens: 2048, n: 1, completion: { [weak self] result in in
 			DispatchQueue.main.async { self?.stopLoading() }
 
 			switch result {
 			case .success(let aiResult):
 				DispatchQueue.main.async { [weak self] in
-					if let text = aiResult.choices.first?.text {
+					if let text = aiResult.choices.first?.message?.content {
 						self?.textView.text = text
 					}
 				}
@@ -62,6 +67,9 @@ extension ViewController {
 					self?.present(alert, animated: true)
 				}
 			}
+		})
+
+		openAI.sendCompletion(prompt: prompt, model: .gptV3_5(.davinciText003), maxTokens: 2048) { [weak self] _ in
 		}
 	}
 }

OpenAIKit.podspec

@@ -8,7 +8,7 @@
 
 Pod::Spec.new do |s|
   s.name             = 'OpenAIKit'
-  s.version          = '1.1.1'
+  s.version          = '1.1.2'
   s.summary          = 'OpenAI is a community-maintained repository containing Swift implementation over OpenAI public API.'
 
   s.description      = <<-DESC

Package.swift

@@ -13,7 +13,8 @@ let package = Package(
 	targets: [
 		.target(
 			name: "OpenAIKit",
-			dependencies: []),
+			dependencies: [],
+			path: "Sources"),
 		.testTarget(
 			name: "OpenAIKitTests",
 			dependencies: ["OpenAIKit"]),

README.md

@@ -49,11 +49,11 @@ import OpenAIKit
 
 public let openAI = OpenAIKit(apiToken: apiToken, organization: organizationName)
 ```
+### Completions
 Create a call to the completions API, passing in a text prompt.
 
 ```swift
-openAI.sendCompletion(prompt: "Hello!", model: .gptV3_5(.gptTurbo), maxTokens: 2048) { [weak self] result in
-
+openAI.sendCompletion(prompt: "Hello!", model: .gptV3_5(.davinciText003), maxTokens: 2048) { [weak self] result in
     switch result {
     case .success(let aiResult):
         DispatchQueue.main.async {
@@ -70,9 +70,9 @@ openAI.sendCompletion(prompt: "Hello!", model: .gptV3_5(.gptTurbo), maxTokens: 2
     }
 }
 ```
-Also supports async/await usage for all methods.
+Also supports async/await usage for all methods. Here is example.
 ```swift
-let result = await openAI.sendCompletion(prompt: "Hello!", model: .gptV3_5(.gptTurbo), maxTokens: 2048)
+let result = await openAI.sendCompletion(prompt: "Hello!", model: .gptV3_5(.davinciText003), maxTokens: 2048)
 
 switch result {
 case .success(let aiResult):
@@ -85,6 +85,28 @@ case .failure(let error):
     print(error.localizedDescription)
 }
 ```
+### Chat Completions
+Chat completions almost the same as completions, there only few differences:
+
+ - It can understand context with pathing previous chat messages ([read more](https://platform.openai.com/docs/guides/chat)).
+ - Response text located in message field of retrieved completion
+ - Supports **ONLY** *gpt-3.5-turbo* and *gpt-3.5-turbo-0301* models ([read more about models compatibility](https://platform.openai.com/docs/models/model-endpoint-compatability)).
+```swift
+openAI?.sendChatCompletion(newMessage: AIMessage(role: .user, content: prompt), previousMessages: [], model: .gptV3_5(.gptTurbo), maxTokens: 2048, n: 1, completion: { [weak self] result in in
+	DispatchQueue.main.async { self?.stopLoading() }
+
+	switch result {
+	case .success(let aiResult):
+		// Handle result actions
+		if let text = aiResult.choices.first?.message?.content {
+			print(text)
+		}
+	case .failure(let error):
+		// Handle error actions
+		print(error.localizedDescription)
+	}
+})
+```
 ### Generate Image
 
 [DALL·E](https://platform.openai.com/docs/models/dall-e) is a AI system that can create realistic images and art from a description in natural language. We currently support the ability, given a prommpt, to create a new image with a certain size, edit an existing image, or create variations of a user provided image.

Sources/OpenAIKit/Helpers/OpenAIKitNetwork.swift

@@ -14,8 +14,6 @@ import FoundationXML
 public enum OpenAINetworkError: Error {
 	case invalidURL
 	case invalidResponse
-	case requestFailed(Error)
-	case decodeFailed(Error)
 }
 
 public final class OpenAIKitNetwork {
@@ -41,7 +39,7 @@ public final class OpenAIKitNetwork {
 
 		let task = URLSession.shared.dataTask(with: request) { data, response, error in
 			if let error = error {
-				completion(.failure(OpenAINetworkError.requestFailed(error)))
+				completion(.failure(error))
 				return
 			}
 
@@ -51,7 +49,13 @@ public final class OpenAIKitNetwork {
 			}
 
 			guard 200 ... 299 ~= response.statusCode else {
-				let error = OpenAINetworkError.requestFailed(NSError(domain: NSURLErrorDomain, code: response.statusCode, userInfo: nil))
+				var userInfo: [String: Any] = [:]
+
+				if let decodedError = try? JSONSerialization.jsonObject(with: data) as? [String: Any] {
+					userInfo = decodedError
+				}
+
+				let error = NSError(domain: NSURLErrorDomain, code: response.statusCode, userInfo: userInfo)
 				completion(.failure(error))
 				return
 			}
@@ -61,7 +65,7 @@ public final class OpenAIKitNetwork {
 				let responseObj = try decoder.decode(ResponseType.self, from: data)
 				completion(.success(responseObj))
 			} catch {
-				completion(.failure(OpenAINetworkError.decodeFailed(error)))
+				completion(.failure(error))
 			}
 		}