Make Messages IEnumerable instead of List

Author: megalon

OpenAI_API/Chat/ChatEndpoint.cs

@@ -66,7 +66,7 @@ public Task<ChatResult> CreateChatAsync(ChatRequest request, int numOutputs = 5)
 		/// <param name="logitBias">Maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.</param>
 		/// <param name="stopSequences">One or more sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.</param>
 		/// <returns>Asynchronously returns the completion result. Look in its <see cref="ChatResult.Choices"/> property for the results.</returns>
-		public Task<ChatResult> CreateChatAsync(List<ChatMessage> messages = null,
+		public Task<ChatResult> CreateChatAsync(IEnumerable<ChatMessage> messages = null,
 			Model model = null,
 			double? temperature = null,
 			double? top_p = null,
@@ -98,7 +98,7 @@ public Task<ChatResult> CreateChatAsync(List<ChatMessage> messages = null,
 		/// </summary>
 		/// <param name="messages">The messages to use in the generation.</param>
 		/// <returns></returns>
-		public Task<ChatResult> CreateChatAsync(List<ChatMessage> messages)
+		public Task<ChatResult> CreateChatAsync(IEnumerable<ChatMessage> messages)
 		{
 			ChatRequest request = new ChatRequest(DefaultChatRequestArgs)
 			{
@@ -168,7 +168,7 @@ public IAsyncEnumerable<ChatResult> StreamChatEnumerableAsync(ChatRequest reques
 		/// <param name="logitBias">Maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.</param>
 		/// <param name="stopSequences">One or more sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.</param>
 		/// <returns>An async enumerable with each of the results as they come in. See <see href="https://docs.microsoft.com/en-us/dotnet/csharp/whats-new/csharp-8#asynchronous-streams">the C# docs</see> for more details on how to consume an async enumerable.</returns>
-		public IAsyncEnumerable<ChatResult> StreamChatEnumerableAsync(List<ChatMessage> messages = null,
+		public IAsyncEnumerable<ChatResult> StreamChatEnumerableAsync(IEnumerable<ChatMessage> messages = null,
 			Model model = null,
 			double? temperature = null,
 			double? top_p = null,

OpenAI_API/Chat/ChatRequest.cs

@@ -22,7 +22,7 @@ public class ChatRequest
 		/// The messages to send with this Chat Request
 		/// </summary>
 		[JsonProperty("messages")]
-		public List<ChatMessage> Messages { get; set; }
+		public IEnumerable<ChatMessage> Messages { get; set; }
 
 		/// <summary>
 		/// What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. It is generally recommend to use this or <see cref="TopP"/> but not both.