Add and update Interfaces (for mock testing, etc) and update version to 1.6

Author: OkGoDoIt

OpenAI_API/Chat/ChatEndpoint.cs

@@ -11,7 +11,7 @@ namespace OpenAI_API.Chat
 	/// <summary>
 	/// ChatGPT API endpoint. Use this endpoint to send multiple messages and carry on a conversation.
 	/// </summary>
-	public class ChatEndpoint : EndpointBase
+	public class ChatEndpoint : EndpointBase, IChatEndpoint
 	{
 		/// <summary>
 		/// This allows you to set default parameters for every request, for example to set a default temperature or max tokens.  For every request, if you do not have a parameter set on the request but do have it set here as a default, the request will automatically pick up the default value.

OpenAI_API/Chat/IChatEndpoint.cs

@@ -0,0 +1,26 @@
+using OpenAI_API.Models;
+using System;
+using System.Collections.Generic;
+using System.Threading.Tasks;
+
+namespace OpenAI_API.Chat
+{
+	/// <summary>
+	/// An interface for <see cref="ChatEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IChatEndpoint
+	{
+		ChatRequest DefaultChatRequestArgs { get; set; }
+
+		Task<ChatResult> CreateChatCompletionAsync(ChatRequest request);
+		Task<ChatResult> CreateChatCompletionAsync(ChatRequest request, int numOutputs = 5);
+		Task<ChatResult> CreateChatCompletionAsync(IList<ChatMessage> messages, Model model = null, double? temperature = null, double? top_p = null, int? numOutputs = null, int? max_tokens = null, double? frequencyPenalty = null, double? presencePenalty = null, IReadOnlyDictionary<string, float> logitBias = null, params string[] stopSequences);
+		Task<ChatResult> CreateChatCompletionAsync(params ChatMessage[] messages);
+		Task<ChatResult> CreateChatCompletionAsync(params string[] userMessages);
+		Conversation CreateConversation();
+		Task StreamChatAsync(ChatRequest request, Action<ChatResult> resultHandler);
+		IAsyncEnumerable<ChatResult> StreamChatEnumerableAsync(ChatRequest request);
+		IAsyncEnumerable<ChatResult> StreamChatEnumerableAsync(IList<ChatMessage> messages, Model model = null, double? temperature = null, double? top_p = null, int? numOutputs = null, int? max_tokens = null, double? frequencyPenalty = null, double? presencePenalty = null, IReadOnlyDictionary<string, float> logitBias = null, params string[] stopSequences);
+		Task StreamCompletionAsync(ChatRequest request, Action<int, ChatResult> resultHandler);
+	}
+}

OpenAI_API/Completions/ICompletionEndpoint.cs

@@ -5,10 +5,10 @@
 
 namespace OpenAI_API.Completions
 {
-    /// <summary>
-    /// Text generation is the core function of the API. You give the API a prompt, and it generates a completion. The way you “program” the API to do a task is by simply describing the task in plain english or providing a few written examples. This simple approach works for a wide range of use cases, including summarization, translation, grammar correction, question answering, chatbots, composing emails, and much more (see the prompt library for inspiration).
-    /// </summary>
-    public interface ICompletionEndpoint
+	/// <summary>
+	/// An interface for <see cref="CompletionEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface ICompletionEndpoint
     {
         /// <summary>
         /// This allows you to set default parameters for every request, for example to set a default temperature or max tokens.  For every request, if you do not have a parameter set on the request but do have it set here as a default, the request will automatically pick up the default value.

OpenAI_API/Embedding/IEmbeddingEndpoint.cs

@@ -2,10 +2,10 @@
 
 namespace OpenAI_API.Embedding
 {
-    /// <summary>
-    /// OpenAI’s text embeddings measure the relatedness of text strings by generating an embedding, which is a vector (list) of floating point numbers. The distance between two vectors measures their relatedness. Small distances suggest high relatedness and large distances suggest low relatedness.
-    /// </summary>
-    public interface IEmbeddingEndpoint
+	/// <summary>
+	/// An interface for <see cref="EmbeddingEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IEmbeddingEndpoint
     {
         /// <summary>
         /// This allows you to send request to the recommended model without needing to specify. Every request uses the <see cref="Model.AdaTextEmbedding"/> model

OpenAI_API/Files/IFilesEndpoint.cs

@@ -3,10 +3,10 @@
 
 namespace OpenAI_API.Files
 {
-    /// <summary>
-    /// The API endpoint for operations List, Upload, Delete, Retrieve files
-    /// </summary>
-    public interface IFilesEndpoint
+	/// <summary>
+	/// An interface for <see cref="FilesEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IFilesEndpoint
     {
         /// <summary>
         /// Get the list of all files

OpenAI_API/IOpenAIAPI.cs

@@ -5,15 +5,15 @@
 
 namespace OpenAI_API
 {
-    /// <summary>
-    /// Entry point to the OpenAPI API, handling auth and allowing access to the various API endpoints
-    /// </summary>
-    public interface IOpenAIAPI
+	/// <summary>
+	/// An interface for <see cref="OpenAIAPI"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IOpenAIAPI
     {
         /// <summary>
         /// Base url for OpenAI
         /// for OpenAI, should be "https://api.openai.com/{0}/{1}"
-        /// for Azure, should be "https://(your-resource-name).openai.azure.com/openai/deployments/(deployment-id)/{1}?api-version={0}"
+        /// for Azure, should be "https://(your-resource-name.openai.azure.com/openai/deployments/(deployment-id)/{1}?api-version={0}"
         /// </summary>
         string ApiUrlFormat { get; set; }
 

OpenAI_API/Images/IImageGenerationEndpoint.cs

@@ -0,0 +1,13 @@
+using System.Threading.Tasks;
+
+namespace OpenAI_API.Images
+{
+	/// <summary>
+	/// An interface for <see cref="ImageGenerationEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IImageGenerationEndpoint
+	{
+		Task<ImageResult> CreateImageAsync(ImageGenerationRequest request);
+		Task<ImageResult> CreateImageAsync(string input);
+	}
+}

OpenAI_API/Images/ImageGenerationEndpoint.cs

@@ -6,11 +6,11 @@
 
 namespace OpenAI_API.Images
 {
-    /// <summary>
+	/// <summary>
 	/// Given a prompt and/or an input image, the model will generate a new image.
 	/// </summary>
-    public class ImageGenerationEndpoint : EndpointBase
-    {
+	public class ImageGenerationEndpoint : EndpointBase, IImageGenerationEndpoint
+	{
 		/// <summary>
 		/// The name of the endpoint, which is the final path segment in the API URL.  For example, "image".
 		/// </summary>

OpenAI_API/Model/IModelsEndpoint.cs

@@ -3,10 +3,10 @@
 
 namespace OpenAI_API.Models
 {
-    /// <summary>
-    /// The API endpoint for querying available models
-    /// </summary>
-    public interface IModelsEndpoint
+	/// <summary>
+	/// An interface for <see cref="ModelsEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IModelsEndpoint
     {
         /// <summary>
         /// Get details about a particular Model from the API, specifically properties such as <see cref="Model.OwnedBy"/> and permissions.

OpenAI_API/Moderation/IModerationEndpoint.cs

@@ -0,0 +1,15 @@
+using System.Threading.Tasks;
+
+namespace OpenAI_API.Moderation
+{
+	/// <summary>
+	/// An interface for <see cref="ModerationEndpoint"/>, for ease of mock testing, etc
+	/// </summary>
+	public interface IModerationEndpoint
+	{
+		ModerationRequest DefaultModerationRequestArgs { get; set; }
+
+		Task<ModerationResult> CallModerationAsync(ModerationRequest request);
+		Task<ModerationResult> CallModerationAsync(string input);
+	}
+}