Resolve merge conflict

Author: toshiakit

+llms/+internal/callOpenAIChatAPI.m

@@ -119,18 +119,16 @@
 
 parameters.stream = ~isempty(nvp.StreamFun);
 
-if ~isempty(functions) && ~strcmp(nvp.ModelName,'gpt-4-vision-preview')
+if ~isempty(functions)
     parameters.tools = functions;
 end
 
-if ~isempty(nvp.ToolChoice) && ~strcmp(nvp.ModelName,'gpt-4-vision-preview')
+if ~isempty(nvp.ToolChoice)
     parameters.tool_choice = nvp.ToolChoice;
 end
 
-if ismember(nvp.ModelName,["gpt-3.5-turbo-1106","gpt-4-1106-preview"])
-    if strcmp(nvp.ResponseFormat,"json")
-        parameters.response_format = struct('type','json_object');
-    end
+if strcmp(nvp.ResponseFormat,"json")
+    parameters.response_format = struct('type','json_object');
 end
 
 if ~isempty(nvp.Seed)
@@ -142,9 +140,6 @@
 dict = mapNVPToParameters;
 
 nvpOptions = keys(dict);
-if strcmp(nvp.ModelName,'gpt-4-vision-preview')
-    nvpOptions(ismember(nvpOptions,"StopSequences")) = [];
-end
 
 for opt = nvpOptions.'
     if isfield(nvp, opt)

README.md

@@ -5,11 +5,11 @@ This repository contains example code to demonstrate how to connect MATLAB to th
 The functionality shown here serves as an interface to the ChatGPT and DALL·E APIs. To start using the OpenAI APIs, you first need to obtain OpenAI API keys. You are responsible for any fees OpenAI may charge for the use of their APIs. You should be familiar with the limitations and risks associated with using this technology, and you agree that you shall be solely responsible for full compliance with any terms that may apply to your use of the OpenAI APIs.
 
 Some of the current LLMs supported are:
-- gpt-3.5-turbo, gpt-3.5-turbo-1106
-- gpt-4, gpt-4-1106-preview
-- gpt-4-vision-preview (a.k.a. GPT-4 Turbo with Vision)
+- gpt-3.5-turbo, gpt-3.5-turbo-1106, gpt-3.5-turbo-0125
+- gpt-4-turbo, gpt-4-turbo-2024-04-09 (capable of Vision)
+- gpt-4, gpt-4-0613
 - dall-e-2, dall-e-3
-
+                                                        
 For details on the specification of each model, check the official [OpenAI documentation](https://platform.openai.com/docs/models).
 
 ## Requirements
@@ -289,11 +289,11 @@ You can extract the arguments and write the data to a table, for example.
 
 You can use gpt-4-vision-preview to experiment with image understanding. 
 ```matlab
-chat = openAIChat("You are an AI assistant.", ModelName="gpt-4-vision-preview"); 
+chat = openAIChat("You are an AI assistant.", ModelName="gpt-4-turbo",StopSequences="stop");
 image_path = "peppers.png";
 messages = openAIMessages;
 messages = addUserMessageWithImages(messages,"What is in the image?",image_path);
-[txt,response] = generate(chat,messages);
+[txt,response] = generate(chat,messages,MaxNumTokens=4096);
 % Should output the description of the image
 ```
 

examples/ExampleParallelFunctionCalls.mlx

@@ -114,10 +114,17 @@
             arguments
                 systemPrompt                       {llms.utils.mustBeTextOrEmpty} = []
                 nvp.Tools                    (1,:) {mustBeA(nvp.Tools, "openAIFunction")} = openAIFunction.empty
+<<<<<<< HEAD
                 nvp.ModelName                (1,1) {mustBeMember(nvp.ModelName,["gpt-4", "gpt-4-0613", "gpt-4-32k", ...
                                                         "gpt-3.5-turbo", "gpt-4-1106-preview", ...
                                                         "gpt-3.5-turbo-1106", "gpt-4-vision-preview", ...
                                                         "gpt-4-turbo-preview"])} = "gpt-3.5-turbo"
+=======
+                nvp.ModelName                (1,1) {mustBeMember(nvp.ModelName,["gpt-4-turbo", ...
+                                                        "gpt-4-turbo-2024-04-09","gpt-4","gpt-4-0613", ...
+                                                        "gpt-3.5-turbo","gpt-3.5-turbo-0125", ...
+                                                        "gpt-3.5-turbo-1106"])} = "gpt-3.5-turbo"
+>>>>>>> dev-update-040924models
                 nvp.Temperature                    {mustBeValidTemperature} = 1
                 nvp.TopProbabilityMass             {mustBeValidTopP} = 1
                 nvp.StopSequences                  {mustBeValidStop} = {}
@@ -131,10 +138,6 @@
 
             if isfield(nvp,"StreamFun")
                 this.StreamFun = nvp.StreamFun;
-                if strcmp(nvp.ModelName,'gpt-4-vision-preview')
-                    error("llms:invalidOptionForModel", ...
-                       llms.utils.errorMessageCatalog.getMessage("llms:invalidOptionForModel", "StreamFun", nvp.ModelName));
-                end
             else
                 this.StreamFun = [];
             end
@@ -146,10 +149,6 @@
             else
                 this.Tools = nvp.Tools;
                 [this.FunctionsStruct, this.FunctionNames] = functionAsStruct(nvp.Tools);
-                if strcmp(nvp.ModelName,'gpt-4-vision-preview')
-                   error("llms:invalidOptionForModel", ...
-                       llms.utils.errorMessageCatalog.getMessage("llms:invalidOptionForModel", "Tools", nvp.ModelName));
-                end
             end
 
             if ~isempty(systemPrompt)
@@ -163,20 +162,15 @@
             this.Temperature = nvp.Temperature;
             this.TopProbabilityMass = nvp.TopProbabilityMass;
             this.StopSequences = nvp.StopSequences;
-            if ~isempty(nvp.StopSequences) && strcmp(nvp.ModelName,'gpt-4-vision-preview')
-                error("llms:invalidOptionForModel", ...
-                       llms.utils.errorMessageCatalog.getMessage("llms:invalidOptionForModel", "StopSequences", nvp.ModelName));
-            end
-
 
             % ResponseFormat is only supported in the latest models only
             if (nvp.ResponseFormat == "json")
-                if ismember(this.ModelName,["gpt-3.5-turbo-1106","gpt-4-1106-preview"])
-                    warning("llms:warningJsonInstruction", ...
-                        llms.utils.errorMessageCatalog.getMessage("llms:warningJsonInstruction"))
-                else
+                if ismember(this.ModelName,["gpt-4","gpt-4-0613"])
                     error("llms:invalidOptionAndValueForModel", ...
                         llms.utils.errorMessageCatalog.getMessage("llms:invalidOptionAndValueForModel", "ResponseFormat", "json", this.ModelName));
+                else
+                    warning("llms:warningJsonInstruction", ...
+                        llms.utils.errorMessageCatalog.getMessage("llms:warningJsonInstruction"))
                 end
 
             end
@@ -222,10 +216,6 @@
             end
 
             toolChoice = convertToolChoice(this, nvp.ToolChoice);
-            if ~isempty(nvp.ToolChoice) && strcmp(this.ModelName,'gpt-4-vision-preview')
-                error("llms:invalidOptionForModel", ...
-                       llms.utils.errorMessageCatalog.getMessage("llms:invalidOptionForModel", "ToolChoice", this.ModelName));
-            end
 
             if isstring(messages) && isscalar(messages)
                 messagesStruct = {struct("role", "user", "content", messages)};