Put each service in its own namespace, remove the old search code com…

…pletely, and clean up a couple bugs including result Created datetime null value handling

OpenAI_API/ApiResultBase.cs

@@ -1,4 +1,5 @@
 using Newtonsoft.Json;
+using OpenAI_API.Models;
 using System;
 
 namespace OpenAI_API
@@ -11,13 +12,13 @@ abstract public class ApiResultBase
 
 		/// The time when the result was generated
 		[JsonIgnore]
-		public DateTime Created => DateTimeOffset.FromUnixTimeSeconds(CreatedUnixTime).DateTime;
+		public DateTime? Created => CreatedUnixTime.HasValue ? (DateTime?)(DateTimeOffset.FromUnixTimeSeconds(CreatedUnixTime.Value).DateTime) : null;
 
 		/// <summary>
 		/// The time when the result was generated in unix epoch format
 		/// </summary>
 		[JsonProperty("created")]
-		public int CreatedUnixTime { get; set; }
+		public long? CreatedUnixTime { get; set; }
 
 		/// <summary>
 		/// Which model was used to generate this result.

OpenAI_API/Completions/CompletionEndpoint.cs

@@ -2,8 +2,9 @@
 using System.Collections.Generic;
 using System.Net.Http;
 using System.Threading.Tasks;
+using OpenAI_API.Models;
 
-namespace OpenAI_API
+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).

OpenAI_API/Completions/CompletionRequest.cs

@@ -1,7 +1,8 @@
 using Newtonsoft.Json;
+using OpenAI_API.Models;
 using System.Linq;
 
-namespace OpenAI_API
+namespace OpenAI_API.Completions
 {
 	/// <summary>
 	/// Represents a request to the Completions API.  Mostly matches the parameters in <see href="https://beta.openai.com/api-ref#create-completion-post">the OpenAI docs</see>, although some have been renames or expanded into single/multiple properties for ease of use.
@@ -12,7 +13,7 @@ public class CompletionRequest
 		/// ID of the model to use. You can use <see cref="ModelsEndpoint.GetModelsAsync()"/> to see all of your available models, or use a standard model like <see cref="Model.DavinciText"/>.
 		/// </summary>
 		[JsonProperty("model")]
-		public string Model { get; set; } = OpenAI_API.Model.DavinciText;
+		public string Model { get; set; } = OpenAI_API.Models.Model.DavinciText;
 
 		/// <summary>
 		/// This is only used for serializing the request into JSON, do not use it directly.
@@ -165,7 +166,7 @@ public string StopSequence
 		/// </summary>
 		public CompletionRequest()
 		{
-			this.Model = OpenAI_API.Model.DefaultModel;
+			this.Model = OpenAI_API.Models.Model.DefaultModel;
 		}
 
 		/// <summary>

OpenAI_API/Completions/CompletionResult.cs

@@ -1,7 +1,7 @@
 using Newtonsoft.Json;
 using System.Collections.Generic;
 
-namespace OpenAI_API
+namespace OpenAI_API.Completions
 {
 	/// <summary>
 	/// Represents a completion choice returned by the Completion API.  

OpenAI_API/Embedding/EmbeddingEndpoint.cs

@@ -1,4 +1,5 @@
-using System.Threading.Tasks;
+using OpenAI_API.Models;
+using System.Threading.Tasks;
 
 namespace OpenAI_API.Embedding
 {

OpenAI_API/Embedding/EmbeddingRequest.cs

@@ -1,4 +1,5 @@
 using Newtonsoft.Json;
+using OpenAI_API.Models;
 
 namespace OpenAI_API.Embedding
 {
@@ -44,7 +45,7 @@ public EmbeddingRequest(Model model, string input)
 		/// <param name="input">The prompt to transform</param>
 		public EmbeddingRequest(string input)
 		{
-			Model = OpenAI_API.Model.AdaTextEmbedding;
+			Model = OpenAI_API.Models.Model.AdaTextEmbedding;
 			this.Input = input;
 		}
 	}

OpenAI_API/Model/Model.cs

@@ -3,7 +3,7 @@
 using System.Collections.Generic;
 using System.Threading.Tasks;
 
-namespace OpenAI_API
+namespace OpenAI_API.Models
 {
 	/// <summary>
 	/// Represents a language model
@@ -30,13 +30,13 @@ public class Model
 
 		/// The time when the model was created
 		[JsonIgnore]
-		public DateTime Created => DateTimeOffset.FromUnixTimeSeconds(CreatedUnixTime).DateTime;
+		public DateTime? Created => CreatedUnixTime.HasValue ? (DateTime?)(DateTimeOffset.FromUnixTimeSeconds(CreatedUnixTime.Value).DateTime) : null;
 
 		/// <summary>
 		/// The time when the model was created in unix epoch format
 		/// </summary>
 		[JsonProperty("created")]
-		public long CreatedUnixTime { get; set; }
+		public long? CreatedUnixTime { get; set; }
 
 		/// <summary>
 		/// Permissions for use of the model

OpenAI_API/Model/ModelsEndpoint.cs

@@ -2,7 +2,7 @@
 using System.Collections.Generic;
 using System.Threading.Tasks;
 
-namespace OpenAI_API
+namespace OpenAI_API.Models
 {
 	/// <summary>
 	/// The API endpoint for querying available models

OpenAI_API/OpenAIAPI.cs

@@ -1,7 +1,7 @@
-using OpenAI_API.Files;
-using Newtonsoft.Json;
+using OpenAI_API.Completions;
 using OpenAI_API.Embedding;
-using System;
+using OpenAI_API.Files;
+using OpenAI_API.Models;
 
 namespace OpenAI_API
 {
@@ -29,7 +29,7 @@ public OpenAIAPI(APIAuthentication apiKeys = null)
 			this.Auth = apiKeys.ThisOrDefault();
 			Completions = new CompletionEndpoint(this);
 			Models = new ModelsEndpoint(this);
-			//Search = new SearchEndpoint(this);
+			Files = new FilesEndpoint(this);
 			Embeddings = new EmbeddingEndpoint(this);
 		}
 
@@ -48,12 +48,6 @@ public OpenAIAPI(APIAuthentication apiKeys = null)
 		/// </summary>
 		public ModelsEndpoint Models { get; }
 
-		/// <summary>
-		/// The API lets you do semantic search over documents. This means that you can provide a query, such as a natural language question or a statement, and find documents that answer the question or are semantically related to the statement. The “documents” can be words, sentences, paragraphs or even longer documents. For example, if you provide documents "White House", "hospital", "school" and query "the president", you’ll get a different similarity score for each document. The higher the similarity score, the more semantically similar the document is to the query (in this example, “White House” will be most similar to “the president”).
-		/// </summary>
-		[Obsolete("OpenAI no longer supports the Search endpoint")]
-		public SearchEndpoint Search { get; }
-
 		/// <summary>
 		/// The API lets you do operations with files. You can upload, delete or retrieve files. Files can be used for fine-tuning, search, etc.
 		/// </summary>